293 results on '"Hölscher, T."'
Search Results
2. Prostate cancer and elective nodal radiation therapy for cN0 and pN0—a never ending story?: Recommendations from the prostate cancer expert panel of the German Society of Radiation Oncology (DEGRO)
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Koerber, S. A., Höcht, S., Aebersold, D., Albrecht, C., Boehmer, D., Ganswindt, U., Schmidt-Hegemann, N.-S., Hölscher, T., Mueller, A.-C., Niehoff, P., Peeken, J. C., Pinkawa, M., Polat, B., Spohn, S. K. B., Wolf, F., Zamboglou, C., Zips, D., and Wiegel, T.
- Published
- 2024
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3. Validation of the Decipher genomic classifier in patients receiving salvage radiotherapy without hormone therapy after radical prostatectomy – an ancillary study of the SAKK 09/10 randomized clinical trial
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Dal Pra, A., Ghadjar, P., Hayoz, S., Liu, V.Y.T., Spratt, D.E., Thompson, D.J.S., Davicioni, E., Huang, H.-C., Zhao, X., Liu, Y., Schär, C., Gut, P., Plasswilm, L., Hölscher, T., Polat, B., Hildebrandt, G., Müller, A.-C., Pollack, A., Thalmann, G.N., Zwahlen, D., and Aebersold, D.M.
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- 2022
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4. Dose-intensified Versus Conventional-dose Salvage Radiotherapy for Biochemically Recurrent Prostate Cancer After Prostatectomy: The SAKK 09/10 Randomized Phase 3 Trial
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Gut, P., Thum, P., Collon, J., Putora, P.M., Plasswilm, L., Sassowsky, M., Thalmann, G.N., Aebersold, D.M., Sumila, M., Kranzbühler, H., Zaugg, K., Papachristofilou, A., Zimmermann, F., Najafi, Y., Brown, M., Guckenberger, M., Wuttke, S., Reuter, C., Oehler, C., Zwahlen, D.R., Azinwi, N.C., Bosetti, D.G., Pesce, G., Tacacs, I., Bodis, S., Gomez, S., Khanfir, K., Behrensmeier, F., Beer, K., Messer, P., Hölscher, T., Baumann, M., Polat, B., Flentje, M., Lewitzki, V., Hildebrandt, G., Müller, A.C., Zips, D., Ghadjar, P., Wust, P., Budach, V., Ganswindt, U., Belka, C., Pinkawa, M., Eble, M.J., Berkovic, K., Stuschke, M., Ost, P., Vandaele, F., Ghadjar, Pirus, Hayoz, Stefanie, Bernhard, Jürg, Zwahlen, Daniel R., Hölscher, Tobias, Gut, Philipp, Polat, Bülent, Hildebrandt, Guido, Müller, Arndt-Christian, Plasswilm, Ludwig, Papachristofilou, Alexandros, Schär, Corinne, Sumila, Marcin, Zaugg, Kathrin, Guckenberger, Matthias, Ost, Piet, Reuter, Christiane, Bosetti, Davide G., Khanfir, Kaouthar, Gomez, Silvia, Wust, Peter, Thalmann, George N., and Aebersold, Daniel M.
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- 2021
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5. MO-0221 Intraprostatic GTV delineation in 18F-PSMA-PET Images for Patients with Primary PCa using a CNN
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Holzschuh, J., primary, Mix, M., additional, Ruf, J., additional, Hölscher, T., additional, Kotzerke, J., additional, Vrachimis, A., additional, Ilhan, H., additional, Spohn, S.K., additional, Fechter, T., additional, Kostyszyn, D., additional, Bronsert, P., additional, Gratzke, C., additional, Grosu, R., additional, Kamran, S.C., additional, Heidari, P., additional, Ng, T.S., additional, Könik, A., additional, Grosu, A., additional, and Zamboglou, C., additional
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- 2023
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6. PO-1482 Moderately hypofractionated proton therapy with implantable spacer in patients with prostate cancer
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Soborun, V.K., primary, Borkowetz, A., additional, Thiele, J., additional, Löck, S., additional, Thomas, C., additional, Troost, E.G.C., additional, Krause, M., additional, and Hölscher, T., additional
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- 2023
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7. Genomic Classifiers in Personalized Prostate Cancer Radiation Therapy Approaches: A Systematic Review and Future Perspectives Based on International Consensus.
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Spohn, S.K.B., Draulans, C., Kishan, A.U., Spratt, D., Ross, A., Maurer, T., Tilki, D., Berlin, A., Blanchard, P., Collins, S., Bronsert, P., Chen, Ronald, Pra, A.D., Meerleer, G. de, Eade, T., Haustermans, K., Hölscher, T., Höcht, S., Ghadjar, P., Davicioni, E., Heck, M., Kerkmeijer, L.G.W., Kirste, S., Tselis, N., Tran, P.T., Pinkawa, M., Pommier, P., Deltas, C., Schmidt-Hegemann, N.S., Wiegel, T., Zilli, T., Tree, A.C., Qiu, X., Murthy, V., Epstein, J.I., Graztke, C., Gao, X., Grosu, A.L., Kamran, S.C., Zamboglou, C., Spohn, S.K.B., Draulans, C., Kishan, A.U., Spratt, D., Ross, A., Maurer, T., Tilki, D., Berlin, A., Blanchard, P., Collins, S., Bronsert, P., Chen, Ronald, Pra, A.D., Meerleer, G. de, Eade, T., Haustermans, K., Hölscher, T., Höcht, S., Ghadjar, P., Davicioni, E., Heck, M., Kerkmeijer, L.G.W., Kirste, S., Tselis, N., Tran, P.T., Pinkawa, M., Pommier, P., Deltas, C., Schmidt-Hegemann, N.S., Wiegel, T., Zilli, T., Tree, A.C., Qiu, X., Murthy, V., Epstein, J.I., Graztke, C., Gao, X., Grosu, A.L., Kamran, S.C., and Zamboglou, C.
- Abstract
Item does not contain fulltext, Current risk-stratification systems for prostate cancer (PCa) do not sufficiently reflect the disease heterogeneity. Genomic classifiers (GC) enable improved risk stratification after surgery, but less data exist for patients treated with definitive radiation therapy (RT) or RT in oligo-/metastatic disease stages. To guide future perspectives of GCs for RT, we conducted (1) a systematic review on the evidence of GCs for patients treated with RT and (2) a survey of experts using the Delphi method, addressing the role of GCs in personalized treatments to identify relevant fields of future clinical and translational research. We performed a systematic review and screened ongoing clinical trials on ClinicalTrials.gov. Based on these results, a multidisciplinary international team of experts received an adapted Delphi method survey. Thirty-one and 30 experts answered round 1 and round 2, respectively. Questions with ≥75% agreement were considered relevant and included in the qualitative synthesis. Evidence for GCs as predictive biomarkers is mainly available to the postoperative RT setting. Validation of GCs as prognostic markers in the definitive RT setting is emerging. Experts used GCs in patients with PCa with extensive metastases (30%), in postoperative settings (27%), and in newly diagnosed PCa (23%). Forty-seven percent of experts do not currently use GCs in clinical practice. Expert consensus demonstrates that GCs are promising tools to improve risk-stratification in primary and oligo-/metastatic patients in addition to existing classifications. Experts were convinced that GCs might guide treatment decisions in terms of RT-field definition and intensification/deintensification in various disease stages. This work confirms the value of GCs and the promising evidence of GC utility in the setting of RT. Additional studies of GCs as prognostic biomarkers are anticipated and form the basis for future studies addressing predictive capabilities of GCs to optimize RT and
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- 2023
8. Dynamics of CXCR4 positive circulating tumor cells in prostate cancer patients during radiotherapy
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Klusa, D., Lohaus, F., Franken, A., Baumbach, M., Cojoc, M., Dowling, P., Linge, A., Offermann, A., Löck, S., Husman, D., Rivandi, M., Polzer, B., Freytag, V., Lange, T., Neubauer, H., Kücken, M., Perner, S., Hölscher, T., (0000-0002-3375-1500) Dubrovska, A., (0000-0003-1776-9556) Krause, M., Kurth, I., Baumann, M., Peitzsch, C., Klusa, D., Lohaus, F., Franken, A., Baumbach, M., Cojoc, M., Dowling, P., Linge, A., Offermann, A., Löck, S., Husman, D., Rivandi, M., Polzer, B., Freytag, V., Lange, T., Neubauer, H., Kücken, M., Perner, S., Hölscher, T., (0000-0002-3375-1500) Dubrovska, A., (0000-0003-1776-9556) Krause, M., Kurth, I., Baumann, M., and Peitzsch, C.
- Abstract
Ablative radiotherapy is a highly efficient treatment modality for patients with metastatic prostate cancer (PCa). However, a subset of patients does not respond. Currently, this subgroup with bad prognosis cannot be identified before disease progression. We hypothesize that markers indicative of radioresistance, stemness and/or bone tropism may have a prognostic potential to identify patients profiting from metastases-directed radiotherapy. Therefore, circulating tumor cells (CTCs) were analyzed in patients with metastatic PCa (n = 24) during radiotherapy with Cell-Search, multicolor flow cytometry and imaging cytometry. Analysis of copy-number alteration indicates a polyclonal CTC population that changes after radiotherapy. CTCs were found in 8 out of 24 patients (33.3%) and were associated with a shorter time to biochemical progression after radiotherapy. Whereas the total CTC count dropped after radiotherapy, a chemokine receptor CXCR4-expressing subpopulation representing 28.6% of the total CTC population remained stable up to 3 months. At once, we observed higher chemokine CCL2 plasma concentrations and proinflammatory monocytes. Additional functional analyses demonstrated key roles of CXCR4 and CCL2 for cellular radiosensitivity, tumorigenicity and stem-like potential in vitro and in vivo. Moreover, a high CXCR4 and CCL2 expression was found in bone metastasis biopsies of PCa patients. In summary, panCK+CXCR4+ CTCs may have a prognostic potential in patients with metastatic PCa treated with metastasis-directed radiotherapy.
- Published
- 2023
9. Prognostic and Predictive Performance of a 24-Gene Post-Operative Radiation Therapy Outcomes Score (PORTOS) in a Phase 3 Randomized Trial of Dose-Intensified Salvage Radiotherapy after Radical Prostatectomy (SAKK 09/10)
- Author
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Pra, A. Dal, primary, Zwahlen, D.R., additional, Liu, V.Y., additional, Hayoz, S., additional, Spratt, D.E., additional, Davicioni, E., additional, Liu, Y., additional, Proudfoot, J.A., additional, Schär, C., additional, Hölscher, T., additional, Gut, P., additional, Polat, B., additional, Hildebrandt, G., additional, Mueller, A.C., additional, Plasswilm, L., additional, Feng, F.Y., additional, Pollack, A., additional, Thalmann, G., additional, Aebersold, D.M., additional, and Ghadjar, P., additional
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- 2022
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10. Evaluation der Entscheidungshilfe Prostatakrebs aus Patientensicht: Ergebnisse der ersten 3 Monate
- Author
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Groeben, C., Ihrig, A., Hölscher, T., Krones, T., Kessler, E., Kliesch, S., Wülfing, C., Koch, R., Wirth, M. P., and Huber, J.
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- 2016
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11. Die Korrosion von Kalziumsilikat-Wärmedämmstoffen durch Alkalisalze, Teil 3
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Schlegel, E., Hölscher, T., Schneider, H.-J., and Aneziris, C. G.
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- 2016
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12. Die Korrosion von Kalziumsilikat-Wärmedämmstoffen durch Alkalisalze, Teil 2
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Schlegel, E., Hölscher, T., Schneider, H.-J., and Aneziris, C. G.
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- 2015
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13. Alkali Salt Corrosion of Calcium Silicate Thermal Insulation Materials
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Schlegel, E., Hölscher, T., Schneider, H.-J., and Aneziris, C. G.
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- 2015
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14. Stellenwert der Fraktionierung, Strahlenart und Wahl der Zielvolumenkonzepte bei der perkutanen Radiotherapie
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Müller, Arndt-Christian and Hölscher, T.
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- 2015
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15. Die Korrosion von Kalziumsilikat-Wärmedämmstoffen durch Alkalisalze, Teil 1
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Schlegel, E., Hölscher, T., Schneider, H.-J., and Aneziris, C. G.
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- 2015
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16. OC-0620 Prompt-gamma imaging for prostate cancer proton therapy: CNN-based detection of anatomical changes
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Pietsch, J., Piplack, N., Berthold, J., Khamfongkhruea, C., Thiele, J., Hölscher, T., Traneus, E., Janssens, E., Smeets, J., Stützer, K., Löck, S., and Richter, C.
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- 2022
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17. Hippocampal Sparing Radiotherapy in adults with Primary Brain Tumors: A comparative planning and dosimetric study using IMPT, IMRT and 3DCRT
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Aka, P, Taylor, R, Hugtenburg, R, Lambert, J, Powell, J, Bevolo, T, Gao, M, Gondi, V, Hartsell, W.H, Bolsi, A, Beer, J, Belosi, M.F, Siewert, D, Lomax, A.J, Weber, D.C, Huang, Y.J, Huang, C.C, Chao, P.J, Liu, C, Shang, H, Ding, X, Wang, Y, Mammar, H, Froelich, Sébastien, Alapetite, Claire, Bolle, Stéphanie, Calugaru, Valentin, Feuvret, Loic, Helfre, Sylvie, Champion, Laurence, Goudjil, Farid, Dendal, Remi, Engelholm, S.A, Munck Af Rosenschold, P, Kristensen, I, Smulders, B, Muhic, A, Alkner, S, Jacob, E, Engelholm, S, Aljabab, S, Lui, A, Wong, T, Liao, J, Laramore, G, Parvathaneni, U, Kharouta, M, Pidikiti, R, Jesseph, F, Smith, M, Dobbins, D, Mattson, D, Choi, S, Mansur, D, Machtay, M, Bhatt, A, Lütgendorf-Caucig, C, Dunavölgyi, R, Georg, P, Perpar, A, Fussl, C, Konstantinovic, R, Ulrike, M, Piero, F, Eugen, H, Vidal, M, Gerard, A, Barnel, C, Maneval, D, Herault, J, Claren, A, Doyen, J, Dendale, R, Toutee, A, Pasquie, I, Goudjil, F, Lumbroso Lerouic, L, Levy, C, Desjardins, L, Cassoux, N, Elisei, G, Pella, A, Calvi, G, Ricotti, R, Tagaste, B, Valvo, F, Ciocca, M, Via, R, Mastella, E, Baroni, G, Saotome, N, Yonai, S, Makishima, H, Hara, Y, Inaniwa, T, Sakama, M, Kanematsu, N, Tsuji, H, Furukawa, T, Shirai, T, Sauerwein, W, Finger, P.T, Gallie, B, Gavrylyuk, Y, Thariat, J, Salleron, J, Maschi, C, Fevrier, E, Caujolle, J.P, Hofverberg, P, Angellier, G, Peyrichon, M.L, Breneman, J, Esslinger, H, Pater, L, Vatner, R, Habrand, J.L, Stefan, D, Lesueur, P, Kao, W, Véla, A, Geffrelot, J, Tessonnier, T, Balosso, J, Mahé, M.A, Lim, P.S, Rompokos, V, Chang, Y.C, Royle, G, Gaze, M, Gains, J, Vennarini, S, Francesco, F, Rombi, B, Amichetti, M, Schwarz, M, Lorentini, S, Mee, T, Burnet, N.G, Crellin, A, Kirkby, N.F, Smith, E, Kirkby, K.J, Roggio, M, Buwenge, M, Melchionda, F, Ammendolia, I, Ronchi, L, Cammelli, S, Morganti, A.G, Youn, S.H, Kim, J.Y, Park, H.J, Shin, S.H, Lee, S.H, Hong, E.K, Czerska, K, Winczura, P, Wejs-Maternik, J, Blukis, A, Antonowicz-Szydlowska, M, Rucinski, A, Olko, P, Badzio, A, Kopec, R, Franceschini, D, Cozzi, L, De Rose, F, Meattini, I, Fogliata, A, Cozzi, S, Becherini, C, Tomatis, S, Livi, L, Scorsetti, M, Garda, A, Fattahi, S, Michel, A, Mutter, R, Yan, E, Park, S, Corbin, K, Giap, H, LAM, W.W, Geng, H, Tang, K.K, Lee, T.Y, Kong, C.W, Yang, B, Chiu, T.L, Cheung, K.Y, Yu, S.K, Ma, M, Gao, X, Zhao, Z, Zhao, B, Mullikin, T, Routman, D, Yu, J, Greco, K, Fagundes, M, Shan, J, Daniels, T, Rule, W, DeWees, T, Hu, Y, Bues, M, Sio, T, Liu, W, chenbin, L, yuehu, P, yuenan, W, Bai, Y, Gao, X.S, Zhao, Z.L, Ma, M.W, Ren, X.Y, Salem, A, Woolf, D, Aznar, M, Azadeh, A, Eccles, C, Charlwood, F, Faivre-Finn, C, Teoh, S, Fiorini, F, George, B, Vallis, K, Van den Heuvel, F, Huang, E.Y, Juang, P.J, Pan, S, Hawkins, M, Clarke, M, Lowe, M, Radhakrishna, G, Schaub, S, Bowen, S, Nyflot, M, Chapman, T, Apisarnthanarax, S, Vitek, P, Kubes, J, Vondracek, V, Vinakurau, S, Zamecnik, L, Vitolo, V, Barcellini, A, Brugnatelli, S, Cobianchi, L, Vanoli, A, Fossati, P, Facoetti, A, Dionigi, P, Orecchia, R, Iannalfi, A, Vischioni, B, Ronchi, S, D’Ippolito, E, Petrucci, R, Yamaguchi, H, Honda, M, Hamada, K, Todate, Y, Seto, I, Suzuki, M, Wada, H, Murakami, M, Yu, Z, Zheng, W, Lien-Chun, L, Zhengshan, H, Qing, Z, Jiade, L, Guoliang, J, Fiore, M.R, D'Ippolito, E, Fukumitsu, N, Hayakawa, T, Yamashita, T, Mima, M, Demizu, Y, Suzuki, T, Soejima, T, Hartsell, W, Collins, S, Casablanca, V, Mihalcik, S, Brennan, E, Van Nispen, A, Corbett, A, Mohammed, N, Lee, P, van Nispen, A, Liang, Y.S, Mein, S, Kopp, B, Choi, K, Haberer, T, Debus, J, Abdollahi, A, Mairani, A, Ogino, H, Iwata, H, Hashimoto, S, Nakajima, K, Hattori, Y, Nomura, K, Shibamoto, Y, Li, P, Wu, S, Deng, L, Zhang, G, Zhang, Q, Fu, S, Yang, Z, Zhang, Y, Sasaki, R, Okimoto, T, Akasaka, H, Miyawaki, D, Yoshida, K, Wang, T, Komatsu, S, Fukumoto, T, Shuang, W, Xin, C, zhengshan, H, Shen, F, Vorobyov, N, Andreev, G, Martynova, N, Lyubinsky, A, Kubasov, A, Chen, J, Ma, N, Lu, Y, Zhao, J, Shahnazi, K, Lu, J, Jiang, G, Mao, J, Walser, M, Bojaxhiu, B, Kawashiro, S, Tran, S, Pica, A, Bachtiary, B, Weber, D, Gaito, S, Abravan, A, Richardson, J, Colaco, R, Saunders, D, Brennan, B, Petersen, I, Ahmed, S, Laack, N, Mizoe, J.E, Iizumi, T, Minohara, S, Kusano, Y, Matsuzaki, Y, Tsuchida, K, Serizawa, I, Yoshida, D, Katoh, H, Sakurai, H, Tujii, H, Kim, T.H, Park, J.W, Bo Hyun, K, Hyunjung, K, Sung Ho, M, Sang Soo, K, Sang Myung, W, Young-Hwan, K, Woo Jin, L, Dae Yong, K, Hong, Z, Wang, Z, Koroulakis, A, Molitoris, J, Kaiser, A, Hanna, N, Jiang, Y, Regine, W, DeCesaris, C.M, Choi, J.I, Carr, S.R, Burrows, W.M, Regine, W.F, Simone, C.B, Aihara, T, Hiratsuka, J, Kamitani, N, Higashino, M, Kawata, R, Kumada, H, Ono, K, Chou, Y.C, Dippolito, E, Bonora, M, Alterio, D, Gandini, S, Jereczeck, B.A, Kelly, C, Dobeson, C, Iqbal, S, Chatterjee, S, Hague, C, Li, T, Lin, A, Lukens, J, Slevin, N, Thomson, D, van Herk, M, West, C, Teo, K, Jeans, E, Manzar, G, Patel, S, Ma, D, Lester, S, Foote, R, 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- Subjects
Biology: Biological Differences between Carbon, Proton and Photons Poster Discussion SessionsPTC58-0642 ,Physics: Absolute and Relative DosimetryPTC58-0180 ,Biology: Biology and Clinical InterfacePTC58-0685 ,Physics: Commissioning New FacilitiesPTC58-0385 ,Physics: 4D Treatment and DeliveryPTC58-0546 ,Clinics: EyePTC58-0714 ,Biology: Biological Differences between Carbon, Proton and Photons Poster Discussion SessionsPTC58-0528 ,Physics: Quality Assurance and VerificationPTC58-0507 ,Oral AbstractsPhysics: Dose Calculation and OptimisationPTC58-0661 ,Biology: Translational and Biomarkers Poster Discussion SessionsPTC58-0221 ,Oral AbstractsPhysics: Dose Calculation and OptimisationPTC58-0531 ,Oral AbstractsPhysics: Dose Calculation and OptimisationPTC58-0653 ,Biology: Drug and Immunotherapy CombinationsPTC58-0163 ,Clinics: Sarcoma - LymphomaPTC58-0055 ,Biology: Drug and Immunotherapy CombinationsPTC58-0166 ,Clinics: CNS / Skull BasePTC58-0198 ,Physics: Treatment PlanningPTC58-0421 ,Clinics: PediatricsPTC58-0560 ,General: New HorizonsPTC58-0709 ,Physics: Treatment PlanningPTC58-0664 ,Clinics: Eye / Breast / Pelvis Poster Discussion SessionsPTC58-0286 ,Physics: Treatment PlanningPTC58-0666 ,Biology: Translational and Biomarkers Poster Discussion SessionsPTC58-0346 ,Physics: Treatment PlanningPTC58-0547 ,Physics: Treatment PlanningPTC58-0308 ,Physics: Treatment PlanningPTC58-0549 ,Physics: Beam Delivery and Nozzle Design Poster Discussion SessionsPTC58-0111 ,Physics: Absolute and Relative DosimetryPTC58-0050 ,Biology: Enhanced Biology in Treatment Planning Poster Discussion SessionsPTC58-0587 ,Biology: Biology and Clinical InterfacePTC58-0454 ,Physics: Absolute and Relative DosimetryPTC58-0052 ,Physics: Commissioning New FacilitiesPTC58-0395 ,Physics: 4D Treatment and DeliveryPTC58-0534 ,Physics: Dose Calculation and OptimisationPTC58-0072 ,Physics: 4D Treatment and DeliveryPTC58-0533 ,Physics: 4D Treatment and DeliveryPTC58-0538 ,Physics: Commissioning New Facilities Poster Discussion SessionsPTC58-0113 ,Physics: Quality Assurance and VerificationPTC58-0633 ,Physics: Treatment PlanningPTC58-0431 ,Physics: Beam Delivery and Nozzle DesignPTC58-0230 ,Biology: Mathematical Modelling SimulationPTC58-0179 ,Clinics: Head and Neck / EyePTC58-0365 ,Physics: Treatment PlanningPTC58-0319 ,Biology: Translational and Biomarkers Poster Discussion SessionsPTC58-0697 ,Biology: Biology and Clinical InterfacePTC58-0663 ,Physics: Commissioning New FacilitiesPTC58-0240 ,Physics: Adaptive TherapyPTC58-0177 ,Physics: Commissioning New FacilitiesPTC58-0363 ,Physics: Commissioning New FacilitiesPTC58-0487 ,Physics: 4D Treatment and DeliveryPTC58-0209 ,Physics: 4D Treatment and DeliveryPTC58-0206 ,Clinics: CNS / Skull BasePTC58-0294 ,Physics: Commissioning New FacilitiesPTC58-0127 ,Biology: Mathematical Modelling SimulationPTC58-0068 ,Physics: Treatment Planning Poster Discussion SessionsPTC58-0062 ,Physics: 4D Treatment and DeliveryPTC58-0692 ,Physics: Quality Assurance and VerificationPTC58-0723 ,Physics: Commissioning New Facilities Poster Discussion SessionsPTC58-0494 ,Physics: Treatment PlanningPTC58-0643 ,Physics: Treatment PlanningPTC58-0521 ,Physics: Treatment PlanningPTC58-0402 ,Physics: Treatment PlanningPTC58-0405 ,Clinics: Head and Neck / EyePTC58-0273 ,Clinics: GIPTC58-0397 ,Physics: Treatment PlanningPTC58-0648 ,Biology: Enhanced Biology in Treatment Planning Poster Discussion SessionsPTC58-0489 ,Physics: Quality Assurance and VerificationPTC58-0617 ,Physics: Quality Assurance and VerificationPTC58-0616 ,Physics: Dose Calculation and Optimisation Poster Discussion SessionsPTC58-0668 ,Clinics: CNS / Skull BasePTC58-0188 ,Oral AbstractsPhysics: Dose Calculation and OptimisationPTC58-0625 ,Physics: Treatment PlanningPTC58-0654 ,Physics: Treatment PlanningPTC58-0655 ,Biology: Drug and Immunotherapy Combinations Poster Discussion SessionsPTC58-0133 ,Clinics: PediatricsPTC58-0313 ,Physics: Treatment PlanningPTC58-0659 ,Poster AbstractsClinics: CNSPTC58-0290 ,Physics: Commissioning New FacilitiesPTC58-0064 ,Physics: Adaptive TherapyPTC58-0396 ,Physics: Dose Calculation and OptimisationPTC58-0281 ,Physics: Quality Assurance and VerificationPTC58-0427 ,Physics: Quality Assurance and VerificationPTC58-0669 ,General: New Horizons SessionPTC58-0191 ,Physics: Dose Calculation and Optimisation Poster Discussion SessionsPTC58-0217 ,Physics: Quality Assurance and VerificationPTC58-0303 ,Physics: Quality Assurance and VerificationPTC58-0665 ,Clinics: Sarcoma - LymphomaPTC58-0495 ,Physics: Dose Calculation and OptimisationPTC58-0398 ,Physics: Quality Assurance and VerificationPTC58-0667 ,Physics: Quality Assurance and VerificationPTC58-0425 ,Physics: Quality Assurance and VerificationPTC58-0541 ,Physics: Treatment PlanningPTC58-0584 ,Physics: Quality Assurance and VerificationPTC58-0540 ,Biology: Drug and Immunotherapy Combinations Poster Discussion SessionsPTC58-0163 ,Physics: Treatment PlanningPTC58-0224 ,Physics: Treatment PlanningPTC58-0229 ,Clinics: PediatricsPTC58-0249 ,Physics: Beam Delivery and Nozzle Design Poster Discussion SessionsPTC58-0555 ,Clinics: PediatricPTC58-0463 ,Physics: Commissioning New Facilities Poster Discussion SessionsPTC58-0556 ,Physics: Absolute and Relative DosimetryPTC58-0498 ,Physics: Commissioning New FacilitiesPTC58-0078 ,Physics: Dose Calculation and OptimisationPTC58-0270 ,Physics: Dose Calculation and OptimisationPTC58-0032 ,Physics: Dose Calculation and OptimisationPTC58-0274 ,Physics: 4D Treatment and DeliveryPTC58-0614 ,Physics: Dose Calculation and OptimisationPTC58-0026 ,Clinics: Head and Neck / EyePTC58-0280 ,Clinics: Eye / Breast / Pelvis Poster Discussion SessionsPTC58-0091 ,Physics: Treatment PlanningPTC58-0593 ,Biology: Drug and Immunotherapy CombinationsPTC58-0012 ,Physics: Dose Calculation and OptimisationPTC58-0025 ,Physics: Dose Calculation and OptimisationPTC58-0146 ,Clinics: Sarcoma - LymphomaPTC58-0261 ,Physics: Treatment PlanningPTC58-0110 ,Clinics: Lung / Sarcoma / LymphomaPTC58-0733 ,Physics: Quality Assurance and VerificationPTC58-0554 ,Physics: Treatment PlanningPTC58-0597 ,Physics: Dose Calculation and Optimisation Poster Discussion SessionsPTC58-0330 ,Physics: Treatment PlanningPTC58-0115 ,Physics: Treatment PlanningPTC58-0598 ,Physics: Absolute and Relative DosimetryPTC58-0040 ,Physics: Absolute and Relative DosimetryPTC58-0282 ,Biology: Enhanced Biology in Treatment Planning Poster Discussion SessionsPTC58-0399 ,Physics: Absolute and Relative DosimetryPTC58-0283 ,Physics: Commissioning New Facilities Poster Discussion SessionsPTC58-0569 ,Clinics: GUPTC58-0647 ,Biology: Biological Differences between Carbon, Proton and Photons Poster Discussion SessionsPTC58-0506 ,Physics: Commissioning New FacilitiesPTC58-0047 ,Physics: Dose Calculation and OptimisationPTC58-0067 ,Clinics: GUPTC58-0409 ,Physics: Dose Calculation and OptimisationPTC58-0065 ,Biology: BNCT Poster Discussion SessionsPTC58-0586 ,Physics: Absolute and Relative Dosimetry PTC58-0393 ,Physics: Image GuidancePTC58-0712 ,Physics: Quality Assurance and VerificationPTC58-0645 ,Physics: Treatment PlanningPTC58-0683 ,Biology: BNCT Poster Discussion SessionsPTC58-0107 ,Physics: Treatment Planning Poster Discussion SessionsPTC58-0266 ,Physics: Monitoring and Modelling MotionPTC58-0530 ,Biology: BNCT Poster Discussion SessionsPTC58-0341 ,Physics: Commissioning New FacilitiesPTC58-0172 ,Physics: Commissioning New Facilities Poster Discussion SessionsPTC58-0456 ,Physics: Dose Calculation and OptimisationPTC58-0170 ,Physics: Commissioning New Facilities Poster Discussion SessionsPTC58-0458 ,Physics: Absolute and Relative DosimetryPTC58-0034 ,Physics: Quality Assurance and VerificationPTC58-0417 ,Physics: Quality Assurance and VerificationPTC58-0413 ,Physics: Treatment Planning Poster Discussion SessionsPTC58-0492 ,Physics: Dose Calculation and OptimisationPTC58-0168 ,Clinics: GI / Sarcoma Poster Discussion SessionsPTC58-0724 ,Physics: Treatment PlanningPTC58-0694 ,Physics: Adaptive TherapyPTC58-0005 ,Physics: Treatment PlanningPTC58-0696 ,Physics: Treatment PlanningPTC58-0453 ,Physics: Adaptive TherapyPTC58-0366 ,Clinics: BreastPTC58-0197 ,Physics: Beam Delivery and Nozzle DesignPTC58-0652 ,Physics: Treatment Planning Poster Discussion SessionsPTC58-0017 ,Physics: Treatment PlanningPTC58-0338 ,Clinics: Head and Neck / EyePTC58-0539 ,General: New Horizons SessionPTC58-0390 ,Physics: Image Guidance Poster Discussion SessionsPTC58-0651 ,General: New HorizonsPTC58-0660 ,Physics: Dose Calculation and OptimisationPTC58-0360 ,Physics: Image GuidancePTC58-0297 ,Physics: 4D Treatment and DeliveryPTC58-0147 ,Scientific: RTTPTC58-0388 ,Physics: Dose Calculation and OptimisationPTC58-0484 ,General: New HorizonsPTC58-0301 ,Physics: Dose Calculation and OptimisationPTC58-0485 ,General: New HorizonsPTC58-0304 ,Physics: 4D Treatment and Delivery Poster Discussion SessionsPTC58-0532 ,Clinics: GIPTC58-0575 ,General: New HorizonsPTC58-0306 ,Physics: Quality Assurance and VerificationPTC58-0589 ,Clinics: CNS / Pediatrics / Lung Poster Discussion SessionsPTC58-0344 ,Physics: Quality Assurance and VerificationPTC58-0225 ,Physics: Treatment PlanningPTC58-0381 ,Physics: Quality Assurance and VerificationPTC58-0467 ,Clinics: CNS / Pediatrics / Lung Poster Discussion SessionsPTC58-0585 ,Physics: Commissioning New FacilitiesPTC58-0416 ,Physics: Quality Assurance and VerificationPTC58-0228 ,Physics: Quality Assurance and VerificationPTC58-0348 ,Physics: Dose Calculation and OptimisationPTC58-0234 ,Physics: Quality Assurance and VerificationPTC58-0101 ,Physics: Treatment PlanningPTC58-0386 ,Physics: Dose Calculation and OptimisationPTC58-0118 ,Physics: Treatment PlanningPTC58-0265 ,Physics: Dose Calculation and OptimisationPTC58-0119 ,Clinics: GIPTC58-0218 ,Physics: Treatment PlanningPTC58-0267 ,Physics: Treatment PlanningPTC58-0387 ,Clinics: BreastPTC58-0142 ,Physics: Treatment PlanningPTC58-0269 ,Physics: Beam Delivery and Nozzle DesignPTC58-0620 ,Clinics: PediatricsPTC58-0048 ,Physics: Quality Assurance and VerificationPTC58-0220 ,Physics: Quality Assurance and VerificationPTC58-0461 ,Physics: Treatment PlanningPTC58-0029 ,Physics: Absolute and Relative DosimetryPTC58-0571 ,Physics: Image GuidancePTC58-0046 ,Clinics: GUPTC58-0557 ,Physics: Absolute and Relative DosimetryPTC58-0211 ,Oral AbstractsPhysics: Dose Calculation and OptimisationPTC58-0131 ,Oral AbstractsPhysics: Dose Calculation and OptimisationPTC58-0373 ,General: New HorizonsPTC58-0411 ,Physics: Dose Calculation and OptimisationPTC58-0595 ,Clinics: CNS / Skull BasePTC58-0361 ,General: New HorizonsPTC58-0414 ,General: New HorizonsPTC58-0537 ,Clinics: GI / Sarcoma Poster Discussion SessionsPTC58-0628 ,Physics: Treatment PlanningPTC58-0271 ,Physics: Commissioning New FacilitiesPTC58-0307 ,Physics: Quality Assurance and VerificationPTC58-0359 ,Physics: Quality Assurance and VerificationPTC58-0354 ,General: New HorizonsPTC58-0419 ,Physics: Treatment PlanningPTC58-0035 ,Biology: BNCTPTC58-0474 ,Clinics: GIPTC58-0460 ,Biology: BNCTPTC58-0596 ,Clinics: GIPTC58-0222 ,Physics: Image GuidancePTC58-0193 ,Clinics: PediatricPTC58-0312 ,Clinics: GUPTC58-0441 ,Clinics: LungPTC58-0701 ,Clinics: EyePTC58-0536 ,Clinics: GUPTC58-0205 ,Physics: Dose Calculation and OptimisationPTC58-0140 ,Clinics: GUPTC58-0208 ,Physics: Dose Calculation and OptimisationPTC58-0020 ,Physics: Image GuidancePTC58-0195 ,Poster AbstractsClinics: CNSPTC58-0717 ,Physics: Quality Assurance and VerificationPTC58-0325 ,Physics: Dose Calculation and OptimisationPTC58-0015 ,Physics: Commissioning New FacilitiesPTC58-0634 ,General: New HorizonsPTC58-0646 ,Physics: Quality Assurance and VerificationPTC58-0566 ,Physics: Dose Calculation and OptimisationPTC58-0134 ,Physics: Dose Calculation and OptimisationPTC58-0376 ,Biology: Mathematical Modelling SimulationPTC58-0462 ,Biology: BNCTPTC58-0567 ,General: New HorizonsPTC58-0527 ,Physics: Treatment PlanningPTC58-0482 ,Clinics: GI, GU, BreastPTC58-0693 ,Physics: Commissioning New FacilitiesPTC58-0518 ,Physics: Quality Assurance and VerificationPTC58-0686 ,Physics: Quality Assurance and VerificationPTC58-0202 ,Physics: Quality Assurance and VerificationPTC58-0322 ,Physics: Quality Assurance and VerificationPTC58-0564 ,Physics: Quality Assurance and VerificationPTC58-0680 ,Physics: Treatment PlanningPTC58-0247 ,Physics: Quality Assurance and VerificationPTC58-0682 ,Physics: Quality Assurance and VerificationPTC58-0440 ,Biology: Translational and BiomarkersPTC58-0514 ,Physics: Beam Delivery and Nozzle Design Poster Discussion SessionsPTC58-0178 ,Clinics: EyePTC58-0520 ,Physics: Absolute and Relative DosimetryPTC58-0231 ,Clinics: Head and Neck / EyePTC58-0424 ,Physics: Absolute and Relative DosimetryPTC58-0471 ,Physics: Absolute and Relative DosimetryPTC58-0356 ,Physics: Dose Calculation and OptimisationPTC58-0491 ,Physics: Dose Calculation and OptimisationPTC58-0250 ,Physics: Commissioning New FacilitiesPTC58-0650 ,Biology: Biology and Clinical InterfacePTC58-0719 ,Physics: Absolute and Relative DosimetryPTC58-0232 ,Physics: Absolute and Relative DosimetryPTC58-0353 ,General: New HorizonsPTC58-0511 ,Physics: Quality Assurance and VerificationPTC58-0219 ,Physics: Absolute and Relative DosimetryPTC58-0238 ,General: New HorizonsPTC58-0512 ,Physics: 4D Treatment and Delivery Poster Discussion SessionsPTC58-0401 ,Clinics: PediatricPTC58-0688 ,Physics: Quality Assurance and VerificationPTC58-0457 ,Physics: Quality Assurance and VerificationPTC58-0214 ,Physics: Quality Assurance and VerificationPTC58-0459 ,General: New HorizonsPTC58-0516 ,Physics: Treatment PlanningPTC58-0372 ,Physics: Treatment PlanningPTC58-0011 ,Physics: Treatment PlanningPTC58-0254 ,Physics: Quality Assurance and VerificationPTC58-0332 ,Clinics: CNS / Skull BasePTC58-0468 ,Biology: Mathematical Modelling SimulationPTC58-0357 ,Clinics: GI / Sarcoma Poster Discussion SessionsPTC58-0649 ,Physics: Dose Calculation and OptimisationPTC58-0006 ,Physics: Quality Assurance and VerificationPTC58-0212 ,Physics: Image Guidance Poster Discussion SessionsPTC58-0565 ,Physics: Treatment PlanningPTC58-0018 ,Physics: Treatment PlanningPTC58-0019 ,Clinics: BreastPTC58-0576 ,Clinics: Head and Neck / EyePTC58-0335 ,Clinics: Head and Neck / EyePTC58-0577 ,General: New HorizonsPTC58-0621 ,Physics: Absolute and Relative DosimetryPTC58-0426 ,Physics: Commissioning New Facilities Poster Discussion SessionsPTC58-0268 ,Physics: Absolute and Relative DosimetryPTC58-0423 ,Physics: Treatment PlanningPTC58-0184 ,Physics: Quality Assurance and VerificationPTC58-0149 ,Clinics: GIPTC58-0378 ,Clinics: GIPTC58-0257 ,Clinics: CNS / Pediatrics / Lung Poster Discussion SessionsPTC58-0662 ,General: New HorizonsPTC58-0627 ,Physics: Treatment PlanningPTC58-0186 ,Physics: Treatment PlanningPTC58-0185 ,Physics: Quality Assurance and VerificationPTC58-0144 ,Biology: BNCT Poster Discussion SessionsPTC58-0602 ,Physics: Treatment PlanningPTC58-0189 ,Physics: Dose Calculation and OptimisationPTC58-0315 ,Clinics: Head and neckPTC58-0300 ,General: New Horizons SessionPTC58-0347 ,Physics: Image GuidancePTC58-0082 ,Clinics: BreastPTC58-0443 ,Physics: 4D Treatment and Delivery Poster Discussion SessionsPTC58-0629 ,Physics: Adaptive Therapy Poster Discussion SessionsPTC58-0007 ,Physics: Commissioning New FacilitiesPTC58-0472 ,Clinics: GI, GU, BreastPTC58-0515 ,Physics: Dose Calculation and Optimisation Poster Discussion SessionsPTC58-0606 ,Oral AbstractsPhysics: Dose Calculation and OptimisationPTC58-0450 ,Physics: Absolute and Relative DosimetryPTC58-0657 ,Physics: Dose Calculation and OptimisationPTC58-0551 ,Physics: Treatment PlanningPTC58-0192 ,Clinics: CNS / Pediatrics / Lung Poster Discussion SessionsPTC58-0675 ,Physics: Treatment PlanningPTC58-0194 ,Physics: Dose Calculation and OptimisationPTC58-0544 ,Physics: Treatment PlanningPTC58-0199 ,Physics: Quality Assurance and VerificationPTC58-0037 ,Oral AbstractsPhysics: Dose Calculation and OptimisationPTC58-0207 ,Clinics: CNS / Pediatrics / Lung Poster Discussion SessionsPTC58-0434 ,Physics: Quality Assurance and VerificationPTC58-0036 ,Physics: Quality Assurance and VerificationPTC58-0278 ,Physics: Quality Assurance and VerificationPTC58-0394 ,Physics: Quality Assurance and VerificationPTC58-0151 ,Physics: Quality Assurance and VerificationPTC58-0154 ,Physics: Dose Calculation and OptimisationPTC58-0428 ,Clinics: BreastPTC58-0116 ,Biology: Enhanced Biology in Treatment Planning Poster Discussion SessionsPTC58-0435 ,Physics: Commissioning New FacilitiesPTC58-0681 ,Physics: Absolute and Relative DosimetryPTC58-0323 ,Physics: Dose Calculation and OptimisationPTC58-0583 ,Physics: Absolute and Relative DosimetryPTC58-0448 ,Clinics: CNS / Skull BasePTC58-0251 ,General: New HorizonsPTC58-0721 ,Physics: Absolute and Relative DosimetryPTC58-0203 ,Physics: Dose Calculation and OptimisationPTC58-0455 ,Physics: 4D Treatment and DeliveryPTC58-0130 ,Physics: Commissioning New FacilitiesPTC58-0679 ,Physics: Absolute and Relative DosimetryPTC58-0329 ,General: New HorizonsPTC58-0604 ,Physics: Absolute and Relative DosimetryPTC58-0449 ,Clinics: CNS / Skull BasePTC58-0132 ,General: New HorizonsPTC58-0607 ,Physics: Quality Assurance and VerificationPTC58-0122 ,Physics: Quality Assurance and VerificationPTC58-0243 ,Physics: Treatment PlanningPTC58-0165 ,Oral AbstractsPhysics: Dose Calculation and OptimisationPTC58-0437 ,Physics: 4D Treatment and DeliveryPTC58-0377 ,Physics: Quality Assurance and VerificationPTC58-0125 ,Physics: Quality Assurance and VerificationPTC58-0245 ,Physics: Dose Calculation and OptimisationPTC58-0337 ,Clinics: GI / Sarcoma Poster Discussion SessionsPTC58-0334 ,Physics: Quality Assurance and VerificationPTC58-0121 ,General: New Horizons SessionPTC58-0563 ,General: New Horizons SessionPTC58-0321 ,Clinics: Head and Neck / EyePTC58-0477 ,Physics: Quality Assurance and VerificationPTC58-0480 ,Clinics: GUPTC58-0010 ,Clinics: EyePTC58-0684 ,Clinics: GUPTC58-0496 ,Clinics: Head and neckPTC58-0676 ,Clinics: GUPTC58-0137 ,Physics: Beam Delivery and Nozzle Design Poster Discussion SessionsPTC58-0256 ,Physics: 4D Treatment and DeliveryPTC58-0117 ,Physics: Absolute and Relative DosimetryPTC58-0552 ,Physics: Absolute and Relative DosimetryPTC58-0310 ,Physics: Absolute and Relative DosimetryPTC58-0672 ,Physics: Absolute and Relative DosimetryPTC58-0436 ,Physics: Dose Calculation and OptimisationPTC58-0452 ,Physics: Dose Calculation and OptimisationPTC58-0331 ,Physics: Commissioning New FacilitiesPTC58-0213 ,Biology: Mathematical Modelling SimulationPTC58-0272 ,Clinics: EyePTC58-0326 ,Physics: Commissioning New FacilitiesPTC58-0568 ,Physics: Dose Calculation and OptimisationPTC58-0444 ,Physics: Quality Assurance and VerificationPTC58-0379 ,Physics: Treatment Planning Poster Discussion SessionsPTC58-0095 ,Physics: Treatment PlanningPTC58-0053 ,Physics: Absolute and Relative DosimetryPTC58-0438 ,Physics: Absolute and Relative DosimetryPTC58-0317 ,Physics: Quality Assurance and VerificationPTC58-0497 ,Physics: Quality Assurance and VerificationPTC58-0375 ,Physics: Treatment PlanningPTC58-0056 ,Physics: 4D Treatment and DeliveryPTC58-0124 ,Clinics: GIPTC58-0009 ,Physics: Quality Assurance and VerificationPTC58-0014 ,Physics: Quality Assurance and VerificationPTC58-0374 ,Clinics: LungPTC58-0727 ,General: New Horizons SessionPTC58-0578 ,Clinics: GI / Sarcoma Poster Discussion SessionsPTC58-0470 ,Clinics: LungPTC58-0204 ,Clinics: Head and neckPTC58-0227 ,Clinics: LungPTC58-0446 ,Physics: Quality Assurance and VerificationPTC58-0190 ,Clinics: Eye / Breast / Pelvis Poster Discussion SessionsPTC58-0609 ,Clinics: LungPTC58-0689 ,General: New HorizonsPTC58-0021 ,General: New HorizonsPTC58-0262 ,Biology: BNCT Poster Discussion SessionsPTC58-0081 ,Clinics: GIPTC58-0726 ,General: New HorizonsPTC58-0145 ,Physics: Image GuidancePTC58-0573 ,General: New HorizonsPTC58-0027 ,General: New HorizonsPTC58-0028 ,Biology: Mathematical Modelling and SimulationPTC58-0148 ,Physics: Dose Calculation and OptimisationPTC58-0635 ,Physics: Image GuidancePTC58-0215 ,Physics: Image GuidancePTC58-0336 ,Poster AbstractsClinics: CNSPTC58-0535 ,Physics: Quality Assurance and VerificationPTC58-0187 ,Biology: BNCT Poster Discussion SessionsPTC58-0084 ,General: New Investigator SessionPTC58-0339 ,General: New Horizons SessionPTC58-0420 ,Physics: Treatment Planning Poster Discussion SessionsPTC58-0523 ,Biology: BNCT Poster Discussion SessionsPTC58-0088 ,Clinics: GI / Sarcoma Poster Discussion SessionsPTC58-0112 ,Physics: Quality Assurance and VerificationPTC58-0182 ,Clinics: Eye / Breast / Pelvis Poster Discussion SessionsPTC58-0615 ,Physics: Quality Assurance and VerificationPTC58-0080 ,Biology: BNCTPTC58-0085 ,Physics: Adaptive Therapy Poster Discussion SessionsPTC58-0722 ,General: New HorizonsPTC58-0253 ,General: New HorizonsPTC58-0255 ,Clinics: PediatricPTC58-0703 ,General: New HorizonsPTC58-0499 ,Physics: Image Guidance Poster Discussion SessionsPTC58-0380 ,General: New HorizonsPTC58-0259 ,Clinics: GI, GU, BreastPTC58-0288 ,Clinics: GI, GU, BreastPTC58-0045 ,Physics: Absolute and Relative DosimetryPTC58-0619 ,Clinics: PediatricPTC58-0707 ,Physics: Quality Assurance and VerificationPTC58-0196 ,Physics: Quality Assurance and VerificationPTC58-0074 ,Physics: Quality Assurance and VerificationPTC58-0077 ,Biology: BNCT Poster Discussion SessionsPTC58-0073 ,Biology: BNCTPTC58-0075 ,Biology: Biological Differences between Carbon, Proton and Photons Poster Discussion SessionsPTC58-0093 ,Clinics: GUPTC58-0161 ,Clinics: GI / Sarcoma Poster Discussion SessionsPTC58-0371 ,Physics: Monitoring and Modelling MotionPTC58-0181 ,General: New HorizonsPTC58-0120 ,General: New HorizonsPTC58-0362 ,General: New HorizonsPTC58-0364 ,Physics: Image GuidancePTC58-0473 ,Scientific: RTTPTC58-0641 ,Clinics: CNS / Pediatrics / Lung Poster Discussion SessionsPTC58-0296 ,General: New HorizonsPTC58-0004 ,General: New HorizonsPTC58-0128 ,Clinics: BreastPTC58-0316 ,Physics: 4D Treatment and Delivery Poster Discussion SessionsPTC58-0236 ,General: New HorizonsPTC58-0008 ,General: New Investigator SessionPTC58-0673 ,Physics: Quality Assurance and VerificationPTC58-0167 ,Physics: Quality Assurance and VerificationPTC58-0289 ,Physics: Quality Assurance and VerificationPTC58-0284 ,General: New Horizons SessionPTC58-0522 ,Physics: Quality Assurance and VerificationPTC58-0164 ,Physics: Quality Assurance and VerificationPTC58-0285 ,Clinics: Eye / Breast / Pelvis Poster Discussion SessionsPTC58-0623 ,Clinics: Eye / Breast / Pelvis Poster Discussion SessionsPTC58-0502 ,Clinics: GUPTC58-0293 ,Biology: Translational and BiomarkersPTC58-0599 ,Biology: BNCTPTC58-0063 ,Clinics: LungPTC58-0656 ,General: New HorizonsPTC58-0592 ,Biology: BNCT Poster Discussion SessionsPTC58-0092 ,Poster AbstractsClinics: CNSPTC58-0302 ,Physics: Image GuidancePTC58-0464 ,General: New HorizonsPTC58-0352 ,Physics: Image GuidancePTC58-0465 ,General: New HorizonsPTC58-0476 ,Physics: Image GuidancePTC58-0100 ,General: New HorizonsPTC58-0235 ,Biology: Mathematical Modelling and SimulationPTC58-0349 ,Physics: Treatment PlanningPTC58-0094 ,Physics: 4D Treatment and Delivery Poster Discussion SessionsPTC58-0367 ,Physics: Dose Calculation and OptimisationPTC58-0400 ,Biology: Translational and BiomarkersPTC58-0244 ,Physics: Dose Calculation and OptimisationPTC58-0640 ,Biology: Mathematical Modelling and SimulationPTC58-0355 ,General: New Investigator SessionPTC58-0320 ,Physics: Quality Assurance and VerificationPTC58-0057 ,Physics: Quality Assurance and VerificationPTC58-0174 ,Physics: Quality Assurance and VerificationPTC58-0295 ,Physics: Dose Calculation and OptimisationPTC58-0529 ,Clinics: GI / Sarcoma Poster Discussion SessionsPTC58-0123 ,Physics: Quality Assurance and VerificationPTC58-0171 ,Biology: Biological Differences between Carbon, Proton and Photons Poster Discussion SessionsPTC58-0049 ,Clinics: BreastPTC58-0731 ,General: New HorizonsPTC58-0223 ,General: New HorizonsPTC58-0102 ,General: New HorizonsPTC58-0466 ,Scientific: RTTPTC58-0503 ,Clinics: CNS / Pediatrics / Lung Poster Discussion SessionsPTC58-0389 ,General: New HorizonsPTC58-0108 ,General: New HorizonsPTC58-0109 ,Physics: Commissioning New FacilitiesPTC58-0736 ,Biology: Mathematical Modelling and SimulationPTC58-0343 ,Biology: Mathematical Modelling and SimulationPTC58-0342 ,Clinics: GI, GU, BreastPTC58-0237 ,Physics: Dose Calculation and OptimisationPTC58-0711 ,Biology: Mathematical Modelling and SimulationPTC58-0581 ,Clinics: GI, GU, BreastPTC58-0114 ,Clinics: Base of SkullPTC58-0730 ,Clinics: Head and neckPTC58-0383 ,Clinics: CNS / Skull BasePTC58-0559 ,Clinics: Base of SkullPTC58-0613 ,General: New HorizonsPTC58-0691 ,Biology: Biological Differences between Carbon, Proton and Photons Poster Discussion SessionsPTC58-0054 ,General: New HorizonsPTC58-0210 ,Clinics: BreastPTC58-0729 ,General: New HorizonsPTC58-0574 ,Clinics: GI, GU, BreastPTC58-0239 ,Scientific: RTTPTC58-0637 ,General: New HorizonsPTC58-0579 ,Clinics: Lung / Sarcoma / LymphomaPTC58-0176 ,General: New HorizonsPTC58-0699 ,Clinics: CNS / Pediatrics / Lung Poster Discussion SessionsPTC58-0156 ,Biology: Mathematical Modelling and SimulationPTC58-0333 ,Biology: Translational and BiomarkersPTC58-0345 ,Physics: Image GuidancePTC58-0369 ,Physics: Commissioning New FacilitiesPTC58-0509 ,Biology: Mathematical Modelling SimulationPTC58-0658 ,Biology: Biological Differences between Carbon, Proton and Photons Poster Discussion SessionsPTC58-0051 ,General: New Investigator SessionPTC58-0548 ,Clinics: GI, GU, BreastPTC58-0241 ,Clinics: Eye / Breast / Pelvis Poster Discussion SessionsPTC58-0412 ,Clinics: GI / Sarcoma Poster Discussion SessionsPTC58-0024 ,Clinics: LungPTC58-0226 ,Biology: Biological Differences between Carbon, Proton and Photons Poster Discussion SessionsPTC58-0069 ,General: New HorizonsPTC58-0562 ,General: New HorizonsPTC58-0561 ,General: New HorizonsPTC58-0201 ,Biology: Mathematical Modelling and SimulationPTC58-0439 ,General: New HorizonsPTC58-0445 ,General: New HorizonsPTC58-0324 ,Physics: Image GuidancePTC58-0031 ,Biology: Mathematical Modelling and SimulationPTC58-0558 ,Physics: Image GuidancePTC58-0392 ,Biology: Mathematical Modelling and SimulationPTC58-0678 ,Physics: Beam Delivery and Nozzle DesignPTC58-0090 ,General: New Investigator SessionPTC58-0630 ,Biology: Biological Differences between Carbon / Proton and Photons Carbons / Proton and PhotonPTC58-0524 ,Physics: Commissioning New FacilitiesPTC58-0713 ,Clinics: GI, GU, BreastPTC58-0139 ,Clinics: CNS / Pediatrics / Lung Poster Discussion SessionsPTC58-0248 ,Clinics: CNS / Pediatrics / Lung Poster Discussion SessionsPTC58-0368 ,Biology: Enhanced Biology in Treatment PlanningPTC58-0519 ,General: New Horizons SessionPTC58-0720 ,Physics: Quality Assurance and VerificationPTC58-0083 ,General: New HorizonsPTC58-0311 ,General: New HorizonsPTC58-0674 ,General: New HorizonsPTC58-0553 ,Physics: Image GuidancePTC58-0023 ,Scientific: RTTPTC58-0612 ,General: New HorizonsPTC58-0677 ,Biology: Mathematical Modelling and SimulationPTC58-0545 ,Physics: Dose Calculation and OptimisationPTC58-0601 ,Physics: Dose Calculation and OptimisationPTC58-0725 ,Physics: Quality Assurance and VerificationPTC58-0098 ,Physics: Dose Calculation and OptimisationPTC58-0605 ,Biology: Biological Differences between Carbon / Proton and Photons Carbons / Proton and PhotonPTC58-0517 ,Biology: Translational and Biomarkers Poster Discussion SessionsPTC58-0618 ,Physics: Monitoring and Modelling MotionPTC58-0481 ,Clinics: GI / Sarcoma Poster Discussion SessionsPTC58-0071 ,Physics: Adaptive TherapyPTC58-0351 ,Physics: 4D Treatment and DeliveryPTC58-0702 ,Physics: Image GuidancePTC58-0734 ,Physics: Image GuidancePTC58-0611 ,Physics: Treatment Planning Poster Discussion SessionsPTC58-0486 ,Physics: Absolute and Relative Dosimetry Poster Discussion SessionsPTC58-0442 ,Biology: Drug and Immunotherapy CombinationsPTC58-0327 ,Clinics: Head and Neck / EyePTC58-0096 ,Clinics: LungPTC58-0159 ,Physics: Treatment PlanningPTC58-0708 ,General: New HorizonsPTC58-0097 ,Physics: Treatment Planning Poster Discussion SessionsPTC58-0350 ,Biology: Biological Differences between Carbon / Proton and Photons Carbons / Proton and PhotonPTC58-0016 ,Physics: Adaptive TherapyPTC58-0104 ,Physics: Absolute and Relative Dosimetry Poster Discussion SessionsPTC58-0433 ,Physics: Image GuidancePTC58-0608 ,Biology: Translational and Biomarkers Poster Discussion SessionsPTC58-0610 ,Clinics: Head and neckPTC58-0058 ,Physics: Treatment PlanningPTC58-0715 ,Clinics: Head and neckPTC58-0298 ,Clinics: EyePTC58-0099 ,General: New HorizonsPTC58-0086 ,General: New HorizonsPTC58-0089 ,Clinics: Lung / Sarcoma / LymphomaPTC58-0200 ,Poster AbstractsClinics: CNSPTC58-0157 ,Clinics: LungPTC58-0141 ,Clinics: LungPTC58-0260 ,Clinics: LungPTC58-0264 ,Physics: Image GuidancePTC58-0513 ,Physics: Image GuidancePTC58-0631 ,Clinics: Eye / Breast / Pelvis Poster Discussion SessionsPTC58-0469 ,Biology: BNCT Poster Discussion SessionsPTC58-0384 ,Physics: Image GuidancePTC58-0639 ,Clinics: PediatricsPTC58-0700 ,Clinics: LungPTC58-0136 ,Clinics: BreastPTC58-0706 ,General: New HorizonsPTC58-0079 ,Biology: Drug and Immunotherapy Combinations Poster Discussion SessionsPTC58-0406 ,Clinics: Base of SkullPTC58-0382 ,Physics: Image GuidancePTC58-0624 ,Physics: Beam Delivery and Nozzle DesignPTC58-0173 ,Biology: Drug and Immunotherapy CombinationsPTC58-0358 ,Poster AbstractsClinics: CNSPTC58-0690 ,General: New HorizonsPTC58-0061 ,Clinics: Lung / Sarcoma / LymphomaPTC58-0580 ,Physics: Monitoring and Modelling MotionPTC58-0162 ,Physics: Adaptive TherapyPTC58-0550 ,Physics: Adaptive TherapyPTC58-0430 ,Clinics: Lung / Sarcoma / LymphomaPTC58-0103 ,General: New Investigator SessionPTC58-0252 ,Physics: Quality Assurance and VerificationPTC58-0704 ,Physics: Image GuidancePTC58-0418 ,Clinics: Base of SkullPTC58-0572 ,Clinics: Lung / Sarcoma / LymphomaPTC58-0106 ,Physics: Beam Delivery and Nozzle DesignPTC58-0022 ,Physics: Monitoring and Modelling MotionPTC58-0279 ,Physics: Treatment Planning Poster Discussion SessionsPTC58-0447 ,Physics: Treatment PlanningPTC58-0622 ,Clinics: PediatricsPTC58-0644 ,Biology: Biology and Clinical InterfacePTC58-0490 ,Clinics: CNS / Skull BasePTC58-0716 ,General: New HorizonsPTC58-0292 ,Biology: Biological Differences between Carbon / Proton and Photons Carbons / Proton and PhotonPTC58-0570 ,General: New HorizonsPTC58-0059 ,Physics: Quality Assurance and VerificationPTC58-0710 ,Biology: Biological Differences between Carbon / Proton and Photons Carbons / Proton and PhotonPTC58-0216 ,Physics: Image GuidancePTC58-0404 ,Physics: Image GuidancePTC58-0525 ,Physics: Image GuidancePTC58-0526 ,Poster AbstractsClinics: CNSPTC58-0328 ,Clinics: LungPTC58-0070 ,Clinics: Eye / Breast / Pelvis Poster Discussion SessionsPTC58-0135 ,Biology: BNCT Poster Discussion SessionsPTC58-0391 ,Physics: Treatment PlanningPTC58-0510 ,Physics: Treatment PlanningPTC58-0636 ,Physics: Treatment PlanningPTC58-0638 ,Physics: Image GuidancePTC58-0408 ,Physics: Absolute and Relative Dosimetry Poster Discussion SessionsPTC58-0632 ,Physics: Treatment Planning Poster Discussion SessionsPTC58-0318 ,Biology: Enhanced Biology in Treatment PlanningPTC58-0246 ,Clinics: PediatricsPTC58-0504 ,General: New HorizonsPTC58-0160 ,Physics: Image Guidance Poster Discussion SessionsPTC58-0076 ,Physics: Monitoring and Modelling MotionPTC58-0143 ,Biology: Mathematical Modelling and SimulationPTC58-0718 ,Physics: Image GuidancePTC58-0671 ,Clinics: LungPTC58-0183 ,Physics: Image GuidancePTC58-0670 ,Report ,Physics: Treatment Planning Poster Discussion SessionsPTC58-0422 ,Biology: Biological Differences between Carbon / Proton and Photons Carbons / Proton and PhotonPTC58-0129 ,Physics: Adaptive Therapy Poster Discussion SessionsPTC58-0705 ,Biology: Enhanced Biology in Treatment PlanningPTC58-0258 ,General: New HorizonsPTC58-0030 ,General: New HorizonsPTC58-0150 ,Biology: Biology and Clinical InterfacePTC58-0479 ,General: New HorizonsPTC58-0153 ,Clinics: PediatricPTC58-0087 ,General: New HorizonsPTC58-0152 ,General: New HorizonsPTC58-0155 ,General: New HorizonsPTC58-0033 ,General: New HorizonsPTC58-0158 ,Physics: Image GuidancePTC58-0429 ,Biology: Translational and BiomarkersPTC58-0287 ,Physics: Adaptive TherapyPTC58-0403 ,Physics: Image GuidancePTC58-0309 - Published
- 2020
18. Toxicity and Efficacy of Local Ablative, Image-guided Radiotherapy in Gallium-68 Prostate-specific Membrane Antigen Targeted Positron Emission Tomography-staged, Castration-sensitive Oligometastatic Prostate Cancer: The OLI-P Phase 2 Clinical Trial
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Hölscher, T., Baumann, M., Kotzerke, J., Zöphel, K., Paulsen, F., Müller, A.-C., Zips, D., Koi, L., Thomas, C., Löck, S., Krause, M., Wirth, M., Lohaus, F., Hölscher, T., Baumann, M., Kotzerke, J., Zöphel, K., Paulsen, F., Müller, A.-C., Zips, D., Koi, L., Thomas, C., Löck, S., Krause, M., Wirth, M., and Lohaus, F.
- Abstract
Background: Local ablative radiotherapy (aRT) of oligometastatic prostate cancer (PCa) is very promising and has become a focus of current clinical research. Objective: We hypothesize that aRT is safe and effective in gallium-68 prostate-specific membrane antigen targeted positron emission tomography (PSMA-PET)-staged oligometastatic PCa patients. Design, setting, and participants: A nonrandomized, prospective, investigator-initiated phase 2 trial recruited patients with oligometastatic PCa (five or fewer lymph node or osseous metastases) after local curative therapy, without significant comorbidity and androgen deprivation therapy (ADT), at two German centers from 2014 to 2018. Intervention: All PSMA-PET-positive metastases were treated with aRT. No systemic therapy was initiated. Outcome measurements and statistical analysis: The primary endpoint was treatment-related toxicity (grade ≥2) 24 mo after aRT. A one-sided single-sample test of proportions was planned to test whether the endpoint occurs in <15% of the patients. Key secondary endpoints were time to progression of prostate-specific antigen (PSA) and time to ADT, which were associated with potential prognostic factors by Cox regression. Results and limitations: Of 72 patients, 63 received aRT (13% dropout rate). The median follow-up was 37.2 mo. No treatment-related grade ≥2 toxicity was observed 2 yr after treatment. The median time to PSA progression and time to ADT were 13.2 and 20.6 mo, respectively. Of the patients, 21.4% were free of PSA progression after 3 yr. Conclusions: It was observed that aRT is safe, and midterm PSA progression and ADT-free time were achieved in one of five patients. Randomized clinical trials are indicated to further evaluate the option of delaying ADT in selected patients. Patient summary: In this clinical trial, 63 patients with up to five metastases of prostate cancer without androgen deprivation therapy were included. We showed that local ablative radiotherapy is safe and
- Published
- 2022
19. Local control after locally ablative, image-guided radiotherapy of oligometastases identified by Gallium-68-PSMA-Positron Emission Tomography in castration-sensitive prostate cancer patients (OLI-P)
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Hölscher, T., Baumann, M., Kotzerke, J., Zöphel, K., Paulsen, F., Müller, A., Zips, D., Thomas, C., Wirth, M., (0000-0001-9550-9050) Troost, E. G. C., (0000-0003-1776-9556) Krause, M., (0000-0002-7017-3738) Löck, S., Lohaus, F., Hölscher, T., Baumann, M., Kotzerke, J., Zöphel, K., Paulsen, F., Müller, A., Zips, D., Thomas, C., Wirth, M., (0000-0001-9550-9050) Troost, E. G. C., (0000-0003-1776-9556) Krause, M., (0000-0002-7017-3738) Löck, S., and Lohaus, F.
- Abstract
Progression of prostate-specific antigen (PSA) values after curative treatment of prostate cancer patients is common. Prostate-specific membrane antigen (PSMA-) PET imaging can identify patients with metachronous oligometastatic disease even at low PSA levels. Metastases-directed local ablative radiotherapy (aRT) has been shown to be a safe treatment option. In this prospective clinical trial, we evaluated local control and the pattern of tumor progression. Between 2014 and 2018, 63 patients received aRT of 89 metastases (MET) (68 lymph node (LN-)MET and 21 bony (OSS-)MET) with one of two radiation treatment schedules: 50 Gy in 2 Gy fractions in 34 MET or 30 Gy in 10 Gy fractions in 55 MET. The mean gross tumor volume and planning target volume were 2.2 and 14.9 mL, respectively. The median follow-up time was 40.7 months. Local progression occurred in seven MET, resulting in a local control rate of 93.5% after three years. Neither treatment schedule, target volume, nor type of lesion was associated with local progression. Regional progression in the proximity to the LN-MET was observed in 19 of 47 patients with at least one LN-MET (actuarial 59.3% free of regional progression after 3 years). In 33 patients (52%), a distant progression was reported. The median time to first tumor-related clinical event was 16.6 months, and 22.2% of patients had no tumor-related clinical event after three years. A total of 14 patients (22%) had another aRT. In conclusion, local ablative radiotherapy in patients with PSMA-PET staged oligometastatic prostate cancer may achieve local control, but regional or distant progression is common. Further studies are warranted, e.g., to define the optimal target volume coverage in LN-MET and OSS-MET.
- Published
- 2022
20. Prompt-gamma imaging for prostate cancer proton therapy: CNN-based detection of anatomical changes
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Pietsch, J., Nick, P., (0000-0002-6312-1905) Berthold, J., Khamfongkhruea, C., Thiele, J., Hölscher, T., Traneus, E., Janssens, G., Smeets, J., (0000-0002-8178-3144) Stützer, K., (0000-0002-7017-3738) Löck, S., (0000-0003-4261-4214) Richter, C., Pietsch, J., Nick, P., (0000-0002-6312-1905) Berthold, J., Khamfongkhruea, C., Thiele, J., Hölscher, T., Traneus, E., Janssens, G., Smeets, J., (0000-0002-8178-3144) Stützer, K., (0000-0002-7017-3738) Löck, S., and (0000-0003-4261-4214) Richter, C.
- Abstract
Purpose & Objective A clinical study (PRIMA) regarding the potential of range verification in proton therapy by prompt-gamma imaging (PGI) is carried out at our institution. As a step towards the automatic evaluation of the measured PGI data, we present an approach to detect anatomical changes in prostate cancer patients from realistically simulated PGI data using convolutional neural networks (CNNs). Materials & Methods In-room control CTs (cCTs) were acquired in treatment position before monitoring 146 field deliveries of 10 hypo-fractioned (3Gy/fraction) prostate cancer patients with a PGI slit camera (range: 8-18 fields/patient). After manual CT registration and dose recalculation, spot-wise shifts of integrated depth-dose (IDD) profiles between cCTs and planning CTs were extracted at the 80% distal falloff position and used for ground-truth classification. Treatment fields were considered to be affected by relevant anatomical changes of the patient if >0.1% of all spots (with at least 0.1% of the total monitor units per field) had absolute IDD shifts above 5 mm. These parameters lead to a field-wise IDD ground-truth classification in optimal agreement with a prior manual field-wise classification based on dose difference maps. Based on the cCTs, we simulated realistic PGI profiles, including Poisson noise and a positioning uncertainty of the PGI slit camera, and extracted spot-wise range shifts by comparison with the expected reference profiles for the planning CT. Spots with reliable PGI information (inside field-of-view and >5E7 protons), were considered with their Bragg peak position for generating two independent 3D spatial maps of 161616 voxels (0.740.740.66 cm3): (1) The PGI-determined range shift in each voxel is the weighted average taking the spot-wise proton number into account. (2) The proton number in each voxel is summed over all respective spots and normalized per field (Fig. 1). With these maps and the IDD classification, 3D-CNNs (6 convoluti
- Published
- 2022
21. Treatment verification with prompt-gamma-imaging: Detection of anatomical changes in prostate-cancer proton therapy
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(0000-0002-6312-1905) Berthold, J., Piplack, N., Traneus, E., Pietsch, J., Khamfongkhruea, C., Thiele, J., Hölscher, T., Janssens, G., Smeets, J., (0000-0002-8178-3144) Stützer, K., (0000-0003-4261-4214) Richter, C., (0000-0002-6312-1905) Berthold, J., Piplack, N., Traneus, E., Pietsch, J., Khamfongkhruea, C., Thiele, J., Hölscher, T., Janssens, G., Smeets, J., (0000-0002-8178-3144) Stützer, K., and (0000-0003-4261-4214) Richter, C.
- Abstract
Introduction We present results of the worldwide first systematic study on the sensitivity of prompt-gamma-imaging (PGI) to detect anatomical changes in proton therapy for the ongoing evaluation in prostate-cancer treatments. Materials&Methods Spot-wise range shifts were monitored with a PGI-slit-camera during 40 fractions of hypo-fractionated prostate-cancer treatments (5 patients, 2 fields, each 1.5GyE). In-room CTs were acquired for these fractions and range shifts of spot-wise integrated depth-dose (IDD) profiles serve as ground-truth. For both PGI and IDD data, spots were clustered based on Bragg-peak position and proton number to mitigate statistical uncertainty in the PGI measurement using a low-dose spot cut-off at 5e7 protons, a minimum number of 3e9 protons per cluster, and a minimum/maximum cluster volume of 1cm3/8cm3. Clusters with absolute range shift ≥5mm were classified as relevant anatomical changes. Results A strong correlation (rPearson=0.72) was found between ground-truth IDD and PGI range shifts per cluster with an average absolute deviation of 1.3mm over all fractions. In total, 245/7143 (3.4%) clusters (found within 24/72 fields) contained relevant IDD-based range shifts. PGI detected these changes with a sensitivity of 68%, specificity of 96%, and accuracy of 95%. The results might be affected by potential intra-fractional changes between in-room CT acquisition and treatment delivery. A higher sensitivity is also expected for a gantry-mounted camera system with decreased positioning uncertainty. Conclusion Our systematic investigation on the sensitivity of a PGI-slit-camera with a first quantitative comparison of range shifts from PGI and IDD profiles demonstrates the capability to locally detect relevant anatomical changes in patients.
- Published
- 2022
22. Performance of a Genomic Classifier (GC) Within a Phase 3 Randomized Trial of Dose Escalated Salvage Radiotherapy (SRT) After Radical Prostatectomy (RP)
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Pra, A.Dal, primary, Ghadjar, P., additional, Hayoz, S., additional, Spratt, D.E., additional, Liu, V.Y., additional, Todorovic, T., additional, Davicioni, E., additional, Huang, H.C., additional, Schär, C., additional, Hölscher, T., additional, Gut, P., additional, Polat, B., additional, Hildebrandt, G., additional, Mueller, A.C., additional, Plasswilm, L., additional, Thalmann, G., additional, Zwahlen, D.R., additional, and Aebersold, D.M., additional
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- 2021
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23. Dose-intensified Versus Conventional-dose Salvage Radiotherapy for Biochemically Recurrent Prostate Cancer After Prostatectomy: The SAKK 09/10 Randomized Phase 3 Trial
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Ghadjar, Pirus, primary, Hayoz, Stefanie, additional, Bernhard, Jürg, additional, Zwahlen, Daniel R., additional, Hölscher, Tobias, additional, Gut, Philipp, additional, Polat, Bülent, additional, Hildebrandt, Guido, additional, Müller, Arndt-Christian, additional, Plasswilm, Ludwig, additional, Papachristofilou, Alexandros, additional, Schär, Corinne, additional, Sumila, Marcin, additional, Zaugg, Kathrin, additional, Guckenberger, Matthias, additional, Ost, Piet, additional, Reuter, Christiane, additional, Bosetti, Davide G., additional, Khanfir, Kaouthar, additional, Gomez, Silvia, additional, Wust, Peter, additional, Thalmann, George N., additional, Aebersold, Daniel M., additional, Gut, P., additional, Thum, P., additional, Collon, J., additional, Putora, P.M., additional, Plasswilm, L., additional, Sassowsky, M., additional, Thalmann, G.N., additional, Aebersold, D.M., additional, Sumila, M., additional, Kranzbühler, H., additional, Zaugg, K., additional, Papachristofilou, A., additional, Zimmermann, F., additional, Najafi, Y., additional, Brown, M., additional, Guckenberger, M., additional, Wuttke, S., additional, Reuter, C., additional, Oehler, C., additional, Zwahlen, D.R., additional, Azinwi, N.C., additional, Bosetti, D.G., additional, Pesce, G., additional, Tacacs, I., additional, Bodis, S., additional, Gomez, S., additional, Khanfir, K., additional, Behrensmeier, F., additional, Beer, K., additional, Messer, P., additional, Hölscher, T., additional, Baumann, M., additional, Polat, B., additional, Flentje, M., additional, Lewitzki, V., additional, Hildebrandt, G., additional, Müller, A.C., additional, Zips, D., additional, Ghadjar, P., additional, Wust, P., additional, Budach, V., additional, Ganswindt, U., additional, Belka, C., additional, Pinkawa, M., additional, Eble, M.J., additional, Berkovic, K., additional, Stuschke, M., additional, Ost, P., additional, and Vandaele, F., additional
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- 2021
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24. PD-0835 Bone-tropic circulating tumor cell population in mCRPC patients under ablative radiotherapy
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Klusa, D., primary, Lohaus, F., additional, Neubauer, H., additional, Franken, A., additional, Rivandi, M., additional, Polzer, B., additional, Husman, D., additional, Kücken, M., additional, Hölscher, T., additional, Kurth, I., additional, Krause, M., additional, Dubrovska, A., additional, Baumann, M., additional, and Peitzsch, C., additional
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- 2021
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25. PO-1332 OLI-P trial: pattern of progression after radiotherapy in PSMA-PET positive METs of prostate cancer
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Hölscher, T., primary, Baumann, M., additional, Kotzerke, J., additional, Wirth, M., additional, Thomas, C., additional, Zips, D., additional, Löck, S., additional, Krause, M., additional, and Lohaus, F., additional
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- 2021
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26. Impact of the adaptor protein GIPC1/Synectin on radioresistance and survival after irradiation of prostate cancer
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Singer, A., Deuse, Y., Koch, U., Hölscher, T., Pfitzmann, D., Jakob, C., Hehlgans, S., Baretton, G.B., Rentsch, A., Baumann, M., Muders, M.H., and Krause, M.
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- 2012
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27. Intraindividual comparison Open Access of [68Ga]-Ga-PSMA-11 and [18F]-F-PSMA-1007 in prostate cancer patients: a retrospective single-center analysis
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Hoberück, S., Löck, S., Borkowetz, A., Sommer, U., Winzer, R., Zöphel, K., Fedders, D., Michler, E., Kotzerke, J., Kopka, K., Hölscher, T., and Braune, A.
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miTNM ,Prostate cancer ,PET ,[18F]-F-PSMA-1007 ,PSMA ,[68]-Ga-PSMA-11 ,urologic and male genital diseases - Abstract
Background The analysis aimed to compare the radiotracers [68Ga]-Ga-PSMA-11 and [18F]-F-PSMA-1007 intraindividually in terms of malignant lesions, mi(molecular-imaging)TNM staging and presumable unspecific lesions retrospectively as used in routine clinical practice. Methods A retrospective analysis of 46 prostate cancer patients (median age: 71 years) who underwent consecutive [18Ga]-Ga-PSMA-11- and [18F]-F-PSMA-1007-PET/CT or PET/MRI within a mean of 12 ± 8.0 days was performed. MiTNM staging was performed in both studies by two nuclear medicine physicians who were blinded to the results of the other tracer. After intradisciplinary and interdisciplinary consensus with two radiologists was reached, differences in both malignant and presumable nonspecific tracer accumulation were analyzed. Results Differences in terms of miTNM stages in both studies occurred in nine of the 46 patients (19.6%). The miT stages differed in five patients (10.9%), the miN stages differed in three patients (6.5%), and different miM stages occurred only in one patient who was upstaged in [18F]-F-PSMA-1007 PET. Concordant miTNM stages were obtained in 37 patients (80.4%). There was no significant difference between [18F]-F-PSMA-1007 and [68Ga]-Ga-PSMA-11 in the SUVmax locally (31.5 vs. 32.7; p = 0.658), in lymph node metastases (28.9 vs. 24.9; p = 0.30) or in bone metastases (22.9 vs. 27.6; p = 0.286). In [18F]-F-PSMA-1007 PET, more patients featured presumable unspecific uptake in the lymph nodes (52.2% vs. 28.3%; p: 18F]-F-PSMA-1007-positive lesions mainly occurred in the ribs (58.7%), axillary lymph nodes (39.1%) and cervical ganglia (28.3%). Conclusion In terms of miTNM staging, both tracers appeared widely exchangeable, as no tracer relevantly outperformed the other. The differences between the two tracers were far more common in presumable unspecific lesions than in malignant spots. A routinely performed two-tracer study could not be shown to be superior. Since it seems at least challenging for most nuclear medicine departments to provide both [18F]-F-PSMA-1007 and [68Ga]-Ga-PSMA-11, it appears reasonable to choose the PSMA radiotracer depending on local availability with attention to the greater occurrence of nonspecific bone findings with [18F]-F-PSMA-1007.
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- 2021
28. Treatment verification with prompt-gamma-imaging: Detection of anatomical changes in prostate-cancer proton therapy
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Berthold, J., Piplack, N., Traneus, E., Pietsch, J., Khamfongkhruea, C., Thiele, J., Hölscher, T., Janssens, G., Smeets, J., Stützer, K., and Richter, C.
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lipids (amino acids, peptides, and proteins) - Abstract
Introduction We present results of the worldwide first systematic study on the sensitivity of prompt-gamma-imaging (PGI) to detect anatomical changes in proton therapy for the ongoing evaluation in prostate-cancer treatments. Materials&Methods Spot-wise range shifts were monitored with a PGI-slit-camera during 40 fractions of hypo-fractionated prostate-cancer treatments (5 patients, 2 fields, each 1.5GyE). In-room CTs were acquired for these fractions and range shifts of spot-wise integrated depth-dose (IDD) profiles serve as ground-truth. For both PGI and IDD data, spots were clustered based on Bragg-peak position and proton number to mitigate statistical uncertainty in the PGI measurement using a low-dose spot cut-off at 5e7 protons, a minimum number of 3e9 protons per cluster, and a minimum/maximum cluster volume of 1cm3/8cm3. Clusters with absolute range shift ≥5mm were classified as relevant anatomical changes. Results A strong correlation (rPearson=0.72) was found between ground-truth IDD and PGI range shifts per cluster with an average absolute deviation of 1.3mm over all fractions. In total, 245/7143 (3.4%) clusters (found within 24/72 fields) contained relevant IDD-based range shifts. PGI detected these changes with a sensitivity of 68%, specificity of 96%, and accuracy of 95%. The results might be affected by potential intra-fractional changes between in-room CT acquisition and treatment delivery. A higher sensitivity is also expected for a gantry-mounted camera system with decreased positioning uncertainty. Conclusion Our systematic investigation on the sensitivity of a PGI-slit-camera with a first quantitative comparison of range shifts from PGI and IDD profiles demonstrates the capability to locally detect relevant anatomical changes in patients.
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- 2021
29. Intraindividual comparison of [68Ga]-Ga-PSMA-11 and [18F]-F-PSMA-1007 in prostate cancer patients: a retrospective single-center analysis.
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Hoberück, S., Löck, S., Borkowetz, A., Sommer, U., Winzer, R., Zöphel, K., Fedders, D., Michler, E., Kotzerke, J., Kopka, K., Hölscher, T., Braune, A., Hoberück, S., Löck, S., Borkowetz, A., Sommer, U., Winzer, R., Zöphel, K., Fedders, D., Michler, E., Kotzerke, J., Kopka, K., Hölscher, T., and Braune, A.
- Abstract
Background: The analysis aimed to compare the radiotracers [68Ga]-Ga-PSMA-11 and [18F]-F-PSMA-1007 intraindividually in terms of malignant lesions, mi(molecular-imaging)TNM staging and presumable unspecific lesions retrospectively as used in routine clinical practice. Methods: A retrospective analysis of 46 prostate cancer patients (median age: 71 years) who underwent consecutive [68Ga]-Ga-PSMA-11- and [18F]-F-PSMA-1007-PET/CT or PET/MRI within a mean of 12 ± 8.0 days was performed. MiTNM staging was performed in both studies by two nuclear medicine physicians who were blinded to the results of the other tracer. After intradisciplinary and interdisciplinary consensus with two radiologists was reached, differences in both malignant and presumable nonspecific tracer accumulation were analyzed. Results: Differences in terms of miTNM stages in both studies occurred in nine of the 46 patients (19.6%). The miT stages differed in five patients (10.9%), the miN stages differed in three patients (6.5%), and different miM stages occurred only in one patient who was upstaged in [18F]-F-PSMA-1007 PET. Concordant miTNM stages were obtained in 37 patients (80.4%). There was no significant difference between [18F]-F-PSMA-1007 and [68Ga]-Ga-PSMA-11 in the SUVmax locally (31.5 vs. 32.7; p = 0.658), in lymph node metastases (28.9 vs. 24.9; p = 0.30) or in bone metastases (22.9 vs. 27.6; p = 0.286). In [18F]-F-PSMA-1007 PET, more patients featured presumable unspecific uptake in the lymph nodes (52.2% vs. 28.3%; p: < 0.001), bones (71.7% vs. 23.9%; p < 0.001) and ganglia (71.7% vs. 43.5%; p < 0.001). Probable unspecific, exclusively [18F]-F-PSMA-1007-positive lesions mainly occurred in the ribs (58.7%), axillary lymph nodes (39.1%) and cervical ganglia (28.3%). Conclusion: In terms of miTNM staging, both tracers appeared widely exchangeable, as no tracer relevantly outperformed the other. The differences between the two tracers were far more common in presumable unspecific lesions tha
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- 2021
30. Treatment verification with prompt-gamma-imaging: Detection of anatomical changes in prostate-cancer proton therapy
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(0000-0002-6312-1905) Berthold, J., Piplack, N., Traneus, E., Pietsch, J., Khamfongkhruea, C., Thiele, J., Hölscher, T., Janssens, G., Smeets, J., (0000-0002-8178-3144) Stützer, K., (0000-0003-4261-4214) Richter, C., (0000-0002-6312-1905) Berthold, J., Piplack, N., Traneus, E., Pietsch, J., Khamfongkhruea, C., Thiele, J., Hölscher, T., Janssens, G., Smeets, J., (0000-0002-8178-3144) Stützer, K., and (0000-0003-4261-4214) Richter, C.
- Abstract
Introduction We present results of the worldwide first systematic study on the sensitivity of prompt-gamma-imaging (PGI) to detect anatomical changes in proton therapy for the ongoing evaluation in prostate-cancer treatments. Materials&Methods Spot-wise range shifts were monitored with a PGI-slit-camera during 40 fractions of hypo-fractionated prostate-cancer treatments (5 patients, 2 fields, each 1.5GyE). In-room CTs were acquired for these fractions and range shifts of spot-wise integrated depth-dose (IDD) profiles serve as ground-truth. For both PGI and IDD data, spots were clustered based on Bragg-peak position and proton number to mitigate statistical uncertainty in the PGI measurement using a low-dose spot cut-off at 5e7 protons, a minimum number of 3e9 protons per cluster, and a minimum/maximum cluster volume of 1cm3/8cm3. Clusters with absolute range shift ≥5mm were classified as relevant anatomical changes. Results A strong correlation (rPearson=0.72) was found between ground-truth IDD and PGI range shifts per cluster with an average absolute deviation of 1.3mm over all fractions. In total, 245/7143 (3.4%) clusters (found within 24/72 fields) contained relevant IDD-based range shifts. PGI detected these changes with a sensitivity of 68%, specificity of 96%, and accuracy of 95%. The results might be affected by potential intra-fractional changes between in-room CT acquisition and treatment delivery. A higher sensitivity is also expected for a gantry-mounted camera system with decreased positioning uncertainty. Conclusion Our systematic investigation on the sensitivity of a PGI-slit-camera with a first quantitative comparison of range shifts from PGI and IDD profiles demonstrates the capability to locally detect relevant anatomical changes in patients.
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- 2021
31. Can prompt-gamma-based verification detect anatomical changes in PT? First systematic clinical investigation
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(0000-0002-6312-1905) Berthold, J., Jost, A., Khamfongkhruea, C., Petzoldt, J., Thiele, J., Hölscher, T., Wohlfahrt, P., Janssens, G., Smeets, J., (0000-0003-4261-4214) Richter, C., (0000-0002-6312-1905) Berthold, J., Jost, A., Khamfongkhruea, C., Petzoldt, J., Thiele, J., Hölscher, T., Wohlfahrt, P., Janssens, G., Smeets, J., and (0000-0003-4261-4214) Richter, C.
- Abstract
Introduction: Anatomical changes during proton therapy can cause severe dosimetric deviation. Treatment verification is thus highly desirable. Here, we present the first systematic evaluation of the sensitivity of a Prompt-Gamma-Imaging (PGI) based range verification system to detect anatomical changes in prostate-cancer treatments. Materials and Methods: Spot-wise range deviations were monitored with a PGI slit camera during in total 16 fractions of hypo-fractionated Pencil-Beam-Scanning (PBS) prostate-cancer treatments (2 patients, 2 fields, each 1.5GyE). For all monitored fractions, in-room control-CT scans were acquired, serving as ground-truth reference for the identification and scoring of anatomical changes (strong/moderate/light). The sensitivity to detect these changes was determined for both, clinically measured and simulated PGI-data, respectively: For distal PBS spots, expected shifts, determined from line-dose profiles (planning-CT vs. control-CT), were manually compared with PGI-derived spot-wise shifts (Fig.1). Furthermore, a simple two-parametric model was established to classify each monitored field into scenarios of global, local and no-clinically-relevant anatomical changes. Results: Overall 66% (84%) of the 64 detected anatomical changes were identified from measured (simulated) PGI-data (Fig.2a). All strong changes (14/64) were identified correctly. The first attempt for automated field-wise classification was able to correctly classify most global changes (9/11). However, differentiation between non-relevant from local changes seemed more difficult (4/6 and 7/14 fields classified correctly, respectively); but even ground-truth classification was often borderline in those cases (Fig.2b). Conclusion: In the first systematic investigation of the sensitivity of clinical PGI-based treatment verification, its capability to detect strong anatomical changes has been clearly demonstrated. Moving towards automated interpretation of PGI-data, a simple two
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- 2021
32. DEGRO 2004: 10. Jahreskongress der Deutschen Gesellschaft für Radioonkologie
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Wendt, Thomas G., Gademann, G., Pambor, C., Grießbach, I., von Specht, H., Martin, T., Baltas, D., Kurek, R., Röddiger, S., Tunn, U. W., Zamboglou, N., Eich, H. T., Staar, S., Gossmann, A., Hansemann, K., Semrau, R., Skripnitchenko, R., Diehl, V., Müller, R.-P., Sehlen, S., Willich, N., Rühl, U., Lukas, P., Dühmke, E., Engel, K., Tabbert, E., Bolck, M., Knaack, S., Annweiler, H., Krempien, R., Hoppe, H., Harms, W., Daeuber, S., Schorr, O., Treiber, M., Debus, J., Alber, M., Paulsen, F., Birkner, M., Bakai, A., Belka, C., Budach, W., Grosser, K.-H., Kramer, R., Kober, B., Reinert, M., Schneider, P., Hertel, A., Feldmann, H., Csere, P., Hoinkis, C., Rothe, G., Zahn, P., Alheit, H., Cavanaugh, S. X., Kupelian, P., Reddy, C., Pollock, B., Fuss, M., Roeddiger, S., Dannenberg, T., Rogge, B., Drechsler, D., Herrmann, T., Alberti, W., Schwarz, R., Graefen, M., Krüll, A., Rudat, V., Huland, H., Fehr, C., Baum, C., Glocker, S., Nüsslin, F., Heil, T., Lemnitzer, H., Knips, M., Baumgart, O., Thiem, W., Kloetzer, K.-H., Hoffmann, L., Neu, B., Hültenschmidt, B., Sautter-Bihl, M.-L., Micke, O., Seegenschmiedt, M. H., Köppen, D., Klautke, G., Fietkau, R., Schultze, J., Schlichting, G., Koltze, H., Kimmig, B., Glatzel, M., Fröhlich, D., Bäsecke, S., Krauß, A., Strauß, D., Buth, K.-J., Böhme, R., Oehler, W., Bottke, D., Keilholz, U., Heufelder, K., Wiegel, T., Hinkelbein, W., Rödel, C., Papadopoulos, T., Munnes, M., Wirtz, R., Sauer, R., Rödel, F., Lubgan, D., Distel, L., Grabenbauer, G. G., Sak, A., Stüben, G., Pöttgen, C., Grehl, S., Stuschke, M., Müller, K., Pfaffendorf, C., Mayerhofer, A., Köhn, F. M., Ring, J., van Beuningen, D., Meineke, V., Neubauer, S., Keller, U., Wittlinger, M., Riesenbeck, D., Greve, B., Exeler, R., Ibrahim, M., Liebscher, C., Severin, E., Ott, O., Pötter, R., Hammer, J., Hildebrandt, G., Beckmann, M. W., Strnad, V., Fehlauer, F., Tribius, S., Bajrovic, A., Höller, U., Rades, D., Warszawski, A., Baumann, R., Madry-Gevecke, B., Karstens, J. H., Grehn, C., Hensley, F., Berns, C., Wannenmacher, M., Semrau, S., Reimer, T., Gerber, B., Ketterer, P., Koepcke, E., Hänsgen, G., Strauß, H. G., Dunst, J., Füller, J., Kalb, S., Wendt, T., Weitmann, H. D., Waldhäusl, C., Knocke, T.-H., Lamprecht, U., Classen, J., Kaulich, T. W., Aydeniz, B., Bamberg, M., Wiezorek, T., Banz, N., Salz, H., Scheithauer, M., Schwedas, M., Lutterbach, J., Bartelt, S., Frommhold, H., Lambert, J., Hornung, D., Swiderski, S., Walke, M., Siefert, A., Pöllinger, B., Krimmel, K., Schaffer, M., Koelbl, O., Bratengeier, K., Vordermark, D., Flentje, M., Hero, B., Berthold, F., Combs, S. E., Gutwein, S., Schulz-Ertner, D., van Kampen, M., Thilmann, C., Kocher, M., Kunze, S., Schild, S., Ikezaki, K., Müller, B., Sieber, R., Weiß, C., Wolf, I., Wenz, F., Weber, K.-J., Schäfer, J., Engling, A., Laufs, S., Veldwijk, M. R., Milanovic, D., Fleckenstein, K., Zeller, W., Fruehauf, S., Herskind, C., Weinmann, M., Jendrossek, V., Rübe, C., Appold, S., Kusche, S., Hölscher, T., Brüchner, K., Geyer, P., Baumann, M., Kumpf, R., Zimmermann, F., Schill, S., Geinitz, H., Nieder, C., Jeremic, B., Molls, M., Liesenfeld, S., Petrat, H., Hesselmann, S., Schäfer, U., Bruns, F., Horst, E., Wilkowski, R., Assmann, G., Nolte, A., Diebold, J., Löhrs, U., Fritz, P., Hans-Jürgen, K., Mühlnickel, W., Bach, P., Wahlers, B., Kraus, H.-J., Wulf, J., Hädinger, U., Baier, K., Krieger, T., Müller, G., Hof, H., Herfarth, K., Brunner, T., Hahn, S. M., Schreiber, F. S., Rustgi, A. K., McKenna, W. G., Bernhard, E. J., Guckenberger, M., Meyer, K., Willner, J., Schmidt, M., Kolb, M., Li, M., Gong, P., Abdollahi, A., Trinh, T., Huber, P. E., Christiansen, H., Saile, B., Neubauer-Saile, K., Tippelt, S., Rave-Fränk, M., Hermann, R. M., Dudas, J., Hess, C. F., Schmidberger, H., Ramadori, G., Andratschke, N., Price, R., Ang, K.-K., Schwarz, S., Kulka, U., Busch, M., Schlenger, L., Bohsung, J., Eichwurzel, I., Matnjani, G., Sandrock, D., Richter, M., Wurm, R., Budach, V., Feussner, A., Gellermann, J., Jordan, A., Scholz, R., Gneveckow, U., Maier-Hauff, K., Ullrich, R., Wust, P., Felix, R., Waldöfner, N., Seebass, M., Ochel, H.-J., Dani, A., Varkonyi, A., Osvath, M., Szasz, A., Messer, P. M., Blumstein, N. M., Gottfried, H.-W., Schneider, E., Reske, S. N., Röttinger, E. M., Grosu, A.-L., Franz, M., Stärk, S., Weber, W., Heintz, M., Indenkämpen, F., Beyer, T., Lübcke, W., Levegrün, S., Hayen, J., Czech, N., Mbarek, B., Köster, R., Thurmann, H., Todorovic, M., Schuchert, A., Meinertz, T., Münzel, T., Grundtke, H., Hornig, B., Hehr, T., Dilcher, C., Chan, R. C., Mintz, G. S., Kotani, J.-I., Shah, V. M., Canos, D. A., Weissman, N. J., Waksman, R., Wolfram, R., Bürger, B., Schrappe, M., Timmermann, B., Lomax, A., Goitein, G., Schuck, A., Mattke, A., Int-Veen, C., Brecht, I., Bernhard, S., Treuner, J., Koscielniak, E., Heinze, F., Kuhlen, M., von Schorlemer, I., Ahrens, S., Hunold, A., Könemann, S., Winkelmann, W., Jürgens, H., Gerstein, J., Polivka, B., Sykora, K.-W., Bremer, M., Thamm, R., Höpfner, C., Gumprecht, H., Jäger, R., Leonardi, M. A., Frank, A. M., Trappe, A. E., Lumenta, C. B., Östreicher, E., Pinsker, K., Müller, A., Fauser, C., Arnold, W., Henzel, M., Groß, M. W., Engenhart-Cabillic, R., Schüller, P., Palkovic, S., Schröder, J., Wassmann, H., Block, A., Bauer, R., Keffel, F.-W., Theophil, B., Wisser, L., Rogger, M., Niewald, M., van Lengen, V., Mathias, K., Welzel, G., Bohrer, M., Steinvorth, S., Schleußner, C., Leppert, K., Röhrig, B., Strauß, B., van Oorschot, B., Köhler, N., Anselm, R., Winzer, A., Schneider, T., Koch, U., Schönekaes, K., Mücke, R., Büntzel, J., Kisters, K., Scholz, C., Keller, M., Winkler, C., Prause, N., Busch, R., Roth, S., Haas, I., Willers, R., Schultze-Mosgau, S., Wiltfang, J., Kessler, P., Neukam, F. W., Röper, B., Nüse, N., Auer, F., Melzner, W., Geiger, M., Lotter, M., Kuhnt, T., Müller, A. C., Jirsak, N., Gernhardt, C., Schaller, H.-G., Al-Nawas, B., Klein, M. O., Ludwig, C., Körholz, J., Grötz, K. A., Huppers, K., Kunkel, M., Olschewski, T., Bajor, K., Lang, B., Lang, E., Kraus-Tiefenbacher, U., Hofheinz, R., von Gerstenberg-Helldorf, B., Willeke, F., Hochhaus, A., Roebel, M., Oertel, S., Riedl, S., Buechler, M., Foitzik, T., Ludwig, K., Klar, E., Meyer, A., Meier zu Eissen, J., Schwab, D., Meyer, T., Höcht, S., Siegmann, A., Sieker, F., Pigorsch, S., Milicic, B., Acimovic, L., Milisavljevic, S., Radosavljevic-Asic, G., Presselt, N., Baum, R. P., Treutler, D., Bonnet, R., Schmücking, M., Sammour, D., Fink, T., Ficker, J., Pradier, O., Lederer, K., Weiss, E., Hille, A., Welz, S., Sepe, S., Friedel, G., Spengler, W., Susanne, E., Kölbl, O., Hoffmann, W., Wörmann, B., Günther, A., Becker-Schiebe, M., Güttler, J., Schul, C., Nitsche, M., Körner, M. K., Oppenkowski, R., Guntrum, F., Malaimare, L., Raub, M., Schöfl, C., Averbeck, T., Hacker, I., Blank, H., Böhme, C., Imhoff, D., Eberlein, K., Weidauer, S., Böttcher, H. D., Edler, L., Tatagiba, M., Molina, H., Ostertag, C., Milker-Zabel, S., Zabel, A., Schlegel, W., Hartmann, A., Wildfang, I., Kleinert, G., Hamm, K., Reuschel, W., Wehrmann, R., Kneschaurek, P., Münter, M. W., Nikoghosyan, A., Didinger, B., Nill, S., Rhein, B., Küstner, D., Schalldach, U., Eßer, D., Göbel, H., Wördehoff, H., Pachmann, S., Hollenhorst, H., Dederer, K., Evers, C., Lamprecht, J., Dastbaz, A., Schick, B., Fleckenstein, J., Plinkert, P. K., Rübe, Chr., Merz, T., Sommer, B., Mencl, A., Ghilescu, V., Astner, S., Martin, A., Momm, F., Volegova-Neher, N. J., Schulte-Mönting, J., Guttenberger, R., Buchali, A., Blank, E., Sidow, D., Huhnt, W., Gorbatov, T., Heinecke, A., Beckmann, G., Bentia, A.-M., Schmitz, H., Spahn, U., Heyl, V., Prott, P.-J., Galalae, R., Schneider, R., Voith, C., Scheda, A., Hermann, B., Bauer, L., Melchert, F., Kröger, N., Grüneisen, A., Jänicke, F., Zander, A., Zuna, I., Schlöcker, I., Wagner, K., John, E., Dörk, T., Lochhas, G., Houf, M., Lorenz, D., Link, K.-H., Prott, F.-J., Thoma, M., Schauer, R., Heinemann, V., Romano, M., Reiner, M., Quanz, A., Oppitz, U., Bahrehmand, R., Tine, M., Naszaly, A., Patonay, P., Mayer, Á., Markert, K., Mai, S.-K., Lohr, F., Dobler, B., Pinkawa, M., Fischedick, K., Treusacher, P., Cengiz, D., Mager, R., Borchers, H., Jakse, G., Eble, M. J., Asadpour, B., Krenkel, B., Holy, R., Kaplan, Y., Block, T., Czempiel, H., Haverkamp, U., Prümer, B., Christian, T., Benkel, P., Weber, C., Gruber, S., Reimann, P., Blumberg, J., Krause, K., Fischedick, A.-R., Kaube, K., Steckler, K., Henzel, B., Licht, N., Loch, T., Krystek, A., Lilienthal, A., Alfia, H., Claßen, J., Spillner, P., Knutzen, B., Souchon, R., Schulz, I., Grüschow, K., Küchenmeister, U., Vogel, H., Wolff, D., Ramm, U., Licner, J., Rudolf, F., Moog, J., Rahl, C. G., Mose, S., Vorwerk, H., Weiß, E., Engert, A., Seufert, I., Schwab, F., Dahlke, J., Zabelina, T., Krüger, W., Kabisch, H., Platz, V., Wolf, J., Pfistner, B., Stieltjes, B., Wilhelm, T., Schmuecking, M., Junker, K., Treutier, D., Schneider, C. P., Leonhardi, J., Niesen, A., Hoeffken, K., Schmidt, A., Mueller, K.-M., Schmid, I., Lehmann, K., Blumstein, C. G., Kreienberg, R., Freudenberg, L., Kühl, H., Stahl, M., Elo, B., Erichsen, P., Stattaus, H., Welzel, T., Mende, U., Heiland, S., Salter, B. J., Schmid, R., Stratakis, D., Huber, R. M., Haferanke, J., Zöller, N., Henke, M., Lorenzen, J., Grzyska, B., Kuhlmey, A., Adam, G., Hamelmann, V., Bölling, T., Job, H., Panke, J. E., Feyer, P., Püttmann, S., Siekmeyer, B., Jung, H., Gagel, B., Militz, U., Piroth, M., Schmachtenberg, A., Hoelscher, T., Verfaillie, C., Kaminski, B., Lücke, E., Mörtel, H., Eyrich, W., Fritsch, M., Georgi, J.-C., Plathow, C., Zieher, H., Kiessling, F., Peschke, P., Kauczor, H.-U., Licher, J., Schneider, O., Henschler, R., Seidel, C., Kolkmeyer, A., Nguyen, T. P., Janke, K., Michaelis, M., Bischof, M., Stoffregen, C., Lipson, K., Weber, K., Ehemann, V., Jürgen, D., Achanta, P., Thompson, K., Martinez, J. L., Körschgen, T., Pakala, R., Pinnow, E., Hellinga, D., O’Tio, F., Katzer, A., Kaffer, A., Kuechler, A., Steinkirchner, S., Dettmar, N., Cordes, N., Frick, S., Kappler, M., Taubert, H., Bartel, F., Schmidt, H., Bache, M., Frühauf, S., Wenk, T., Litzenberger, K., Erren, M., van Valen, F., Liu, L., Yang, K., Palm, J., Püsken, M., Behe, M., Behr, T. M., Marini, P., Johne, A., Claussen, U., Liehr, T., Steil, V., Moustakis, C., Griessbach, I., Oettel, A., Schaal, C., Reinhold, M., Strasssmann, G., Braun, I., Vacha, P., Richter, D., Osterham, T., Wolf, P., Guenther, G., Miemietz, M., Lazaridis, E. A., Forthuber, B., Sure, M., Klein, J., Saleske, H., Riedel, T., Hirnle, P., Horstmann, G., Schoepgens, H., Van Eck, A., Bundschuh, O., Van Oosterhut, A., Xydis, K., Theodorou, K., Kappas, C., Zurheide, J., Fridtjof, N., Ganswindt, U., Weidner, N., Buchgeister, M., Weigel, B., Müller, S. B., Glashörster, M., Weining, C., Hentschel, B., Sauer, O. A., Kleen, W., Beck, J., Lehmann, D., Ley, S., Fink, C., Puderbach, M., Hosch, W., Schmähl, A., Jung, K., Stoßberg, A., Rolf, E., Damrau, M., Oetzel, D., Maurer, U., Maurer, G., Lang, K., Zumbe, J., Hahm, D., Fees, H., Robrandt, B., Melcher, U., Niemeyer, M., Mondry, A., Kanellopoulos-Niemeyer, V., Karle, H., Jacob-Heutmann, D., Born, C., Mohr, W., Kutzner, J., Thelen, M., Schiebe, M., Pinkert, U., Piasswilm, L., Pohl, F., Garbe, S., Wolf, K., Nour, Y., Barwig, P., Trog, D., Schäfer, C., Herbst, M., Dietl, B., Cartes, M., Schroeder, F., Sigingan-Tek, G., Feierabend, R., Theden, S., Schlieck, A., Gotthardt, M., Glowalla, U., Kremp, S., Hamid, O., Riefenstahl, N., Michaelis, B., Schaal, G., Liebermeister, E., Niewöhner-Desbordes, U., Kowalski, M., Franz, N., Stahl, W., Baumbach, C., Thale, J., Wagner, W., Justus, B., Huston, A. L., Seaborn, R., Rai, P., Rha, S.-W., Sakas, G., Wesarg, S., Zogal, P., Schwald, B., Seibert, H., Berndt-Skorka, R., Seifert, G., Schoenekaes, K., Bilecen, C., Ito, W., Matschuck, G., and Isik, D.
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- 2004
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33. OC-0698: First-in-man validation of CT-based stopping-power prediction using prompt-gamma range verification
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Berthold, J., primary, Khamfongkhruea, C., additional, Jost, A., additional, Petzoldt, J., additional, Thiele, J., additional, Hölscher, T., additional, Wohlfahrt, P., additional, Hofmann, C., additional, Pausch, G., additional, Janssens, G., additional, Julien, S., additional, and Richter, C., additional
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- 2020
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34. Contouring Quality and Adherence to EORTC-based Protocol Guidelines in the Randomized Phase III SAKK 09/10 Trial for Postoperative Prostate Cancer Radiotherapy: Implications for Treatment Quality and Future Clinical Trials
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Beck, M., primary, Sassowsky, M., additional, Schär, S., additional, Mathier, E., additional, Halter, M., additional, Zwahlen, D.R., additional, Hölscher, T., additional, Arnold, W., additional, Polat, B., additional, Hildebrandt, G., additional, Mueller, A.C., additional, Putora, P.M., additional, Papachristofilou, A., additional, Sumila, M., additional, Zaugg, K., additional, Guckenberger, M., additional, Ost, P., additional, Aebersold, D.M., additional, Ghadjar, P., additional, and Dal Pra, A., additional
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- 2020
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35. OC-0443: First systematic clinical study on detection of anatomical changes in PT using prompt-gamma imaging
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Berthold, J., primary, Jost, A., additional, Khamfongkhruea, C., additional, Petzoldt, J., additional, Thiele, J., additional, Hölscher, T., additional, Wohlfahrt, P., additional, Pausch, G., additional, Janssens, G., additional, Smeets, J., additional, and Richter, C., additional
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- 2020
- Full Text
- View/download PDF
36. Can prompt-gamma-based verification detect anatomical changes in PT? First systematic clinical investigation
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Berthold, J., Jost, A., Khamfongkhruea, C., Petzoldt, J., Thiele, J., Hölscher, T., Wohlfahrt, P., Janssens, G., Smeets, J., and Richter, C.
- Subjects
sense organs - Abstract
Introduction: Anatomical changes during proton therapy can cause severe dosimetric deviation. Treatment verification is thus highly desirable. Here, we present the first systematic evaluation of the sensitivity of a Prompt-Gamma-Imaging (PGI) based range verification system to detect anatomical changes in prostate-cancer treatments. Materials and Methods: Spot-wise range deviations were monitored with a PGI slit camera during in total 16 fractions of hypo-fractionated Pencil-Beam-Scanning (PBS) prostate-cancer treatments (2 patients, 2 fields, each 1.5GyE). For all monitored fractions, in-room control-CT scans were acquired, serving as ground-truth reference for the identification and scoring of anatomical changes (strong/moderate/light). The sensitivity to detect these changes was determined for both, clinically measured and simulated PGI-data, respectively: For distal PBS spots, expected shifts, determined from line-dose profiles (planning-CT vs. control-CT), were manually compared with PGI-derived spot-wise shifts (Fig.1). Furthermore, a simple two-parametric model was established to classify each monitored field into scenarios of global, local and no-clinically-relevant anatomical changes. Results: Overall 66% (84%) of the 64 detected anatomical changes were identified from measured (simulated) PGI-data (Fig.2a). All strong changes (14/64) were identified correctly. The first attempt for automated field-wise classification was able to correctly classify most global changes (9/11). However, differentiation between non-relevant from local changes seemed more difficult (4/6 and 7/14 fields classified correctly, respectively); but even ground-truth classification was often borderline in those cases (Fig.2b). Conclusion: In the first systematic investigation of the sensitivity of clinical PGI-based treatment verification, its capability to detect strong anatomical changes has been clearly demonstrated. Moving towards automated interpretation of PGI-data, a simple two-parametric model already showed encouraging results.
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- 2020
37. Determination of the Back Contact Recombination Velocity of a Cu(In,Ga)Se2/ITO Interface Using Bifacial Solar Cells
- Author
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Schneider, T., Hölscher, T., Kempa, H., and Scheer, R.
- Subjects
Perovskites and Other Non-Silicon Materials, MJs and Tandems ,CI(G)S, CdTe and Related Thin Films - Abstract
37th European Photovoltaic Solar Energy Conference and Exhibition; 621-626, Bifacial CIGSe solar cells with ITO back contacts and with absorber thicknesses ranging from 300 to 1020 nm were studied by measuring J-V-characteristics and EQE with illumination from front and rear side, respectively. Compared to simultaneously processed samples with Mo back contacts, increased open circuit voltages occured with ITO back contacts. This effect was more pronounced with decreasing absorber thickness and can be related to a possible hole extraction barrier. Systematic electrical simulations were employed to determine the back contact recombination velocity at the CIGSe/ITO interface, resulting in a value of the order of 105 cm/s.
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- 2020
- Full Text
- View/download PDF
38. P033 - Genomic classifiers in personalized prostate cancer radiotherapy approaches – a systematic review and future perspectives based on international consensus
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Spohn, S.K.B., Draulans, C., Kishan, A.U., Spratt, D., Ross, A., Maurer, T., Tilki, D., Berlin, A., Blanchard, P., Collins, S., Bronsert, P., Chen, R., Dal Pra, A., De Meerler, G., Eade, T., Haustermans, K., Hölscher, T., Höcht, S., Ghadjar, P., Davicioni, E., Heck, M., Kerkmeijer, L.G., Kirste, S., Tselis, N., Tran, P.T., Pinkawa, M., Pommier, P., Deltas, C., Schmidt-Hegemann, N-S., Wiegel, T., Zilli, T., Tree, A.C., Qiu, X., Murthy, V., Epstein, J.I., Graztke, C., Grosu, A.L., Kamran, S.C., Zamboglou, C., and Pinkawa
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- 2022
- Full Text
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39. Can prompt-gamma-based verification detect anatomical changes in PT? First systematic clinical investigation
- Author
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(0000-0002-6312-1905) Berthold, J., Jost, A., Khamfongkhruea, C., Petzoldt, J., Thiele, J., Hölscher, T., Wohlfahrt, P., Janssens, G., Smeets, J., (0000-0003-4261-4214) Richter, C., (0000-0002-6312-1905) Berthold, J., Jost, A., Khamfongkhruea, C., Petzoldt, J., Thiele, J., Hölscher, T., Wohlfahrt, P., Janssens, G., Smeets, J., and (0000-0003-4261-4214) Richter, C.
- Abstract
Introduction: Anatomical changes during proton therapy can cause severe dosimetric deviation. Treatment verification is thus highly desirable. Here, we present the first systematic evaluation of the sensitivity of a Prompt-Gamma-Imaging (PGI) based range verification system to detect anatomical changes in prostate-cancer treatments. Materials and Methods: Spot-wise range deviations were monitored with a PGI slit camera during in total 16 fractions of hypo-fractionated Pencil-Beam-Scanning (PBS) prostate-cancer treatments (2 patients, 2 fields, each 1.5GyE). For all monitored fractions, in-room control-CT scans were acquired, serving as ground-truth reference for the identification and scoring of anatomical changes (strong/moderate/light). The sensitivity to detect these changes was determined for both, clinically measured and simulated PGI-data, respectively: For distal PBS spots, expected shifts, determined from line-dose profiles (planning-CT vs. control-CT), were manually compared with PGI-derived spot-wise shifts (Fig.1). Furthermore, a simple two-parametric model was established to classify each monitored field into scenarios of global, local and no-clinically-relevant anatomical changes. Results: Overall 66% (84%) of the 64 detected anatomical changes were identified from measured (simulated) PGI-data (Fig.2a). All strong changes (14/64) were identified correctly. The first attempt for automated field-wise classification was able to correctly classify most global changes (9/11). However, differentiation between non-relevant from local changes seemed more difficult (4/6 and 7/14 fields classified correctly, respectively); but even ground-truth classification was often borderline in those cases (Fig.2b). Conclusion: In the first systematic investigation of the sensitivity of clinical PGI-based treatment verification, its capability to detect strong anatomical changes has been clearly demonstrated. Moving towards automated interpretation of PGI-data, a simple two
- Published
- 2020
40. First systematic clinical study on detection of anatomical changes in PT using prompt-gamma imaging
- Author
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Berthold, J., Jost, A., Khamfongkhruea, C., Petzoldt, J., Thiele, J., Hölscher, T., (0000-0002-2121-0934) Wohlfahrt, P., (0000-0002-2336-0178) Pausch, G., Janssens, G., Smeets, J., (0000-0003-4261-4214) Richter, C., Berthold, J., Jost, A., Khamfongkhruea, C., Petzoldt, J., Thiele, J., Hölscher, T., (0000-0002-2121-0934) Wohlfahrt, P., (0000-0002-2336-0178) Pausch, G., Janssens, G., Smeets, J., and (0000-0003-4261-4214) Richter, C.
- Abstract
Purpose & Objective Anatomical changes during the course of proton therapy treatment can result in relevant changes in proton range, potentially causing severe under- or overdosage. Verifying the proton treatment, ideally in real-time, is thus highly desirable. Here, we present the first systematic evaluation of the sensitivity of a prompt-gamma-imaging (PGI) based range verification system to detect anatomical changes in prostate-cancer treatments. Materials & Methods A PGI slit-camera system was clinically applied to monitor spot-wise proton range deviations during 7 and 9 fractions of hypo-fractionated pencil beam scanning (PBS) treatment for 2 prostate-cancer patients, respectively (2 opposing fields, 1.5 GyE each). For all monitored fractions, in-room control CT scans (cCT) were acquired in treatment position, serving as ground-truth reference. Based on the evaluation of planning CT (pCT) and cCT data on the level of CT images, dose distributions and derived line-dose profiles, anatomical changes were identified and scored concerning cause and magnitude. The detectability of these changes with PGI was determined by manually comparing expected range shifts from line-dose profiles (pCT vs. cCT) with PGI-derived spot-wise range shifts for distal PBS spots (Fig.1). This evaluation was performed for both, measured as well as simulated PGI data based on cCT (no statistical uncertainty). Furthermore, the sensitivity for a binary differentiation between relevant (strong/moderate) and no relevant anatomical changes within a fraction was determined. Working towards an automated classification of treatment deviations for real-time treatment verification, a simple two-parametric model was established to classify each monitored field into global, local and not clinically relevant anatomical changes. Results From 64 detected anatomical changes in 32 monitored treatment fields, in total 66% (84%) were also identified by measured (simulated) PGI data (Fig.2a). All strong chang
- Published
- 2020
41. First systematic clinical study on detection of anatomical changes in PT using prompt-gamma imaging
- Author
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(0000-0002-6312-1905) Berthold, J., Jost, A., Khamfongkhruea, C., Petzoldt, J., Thiele, J., Hölscher, T., (0000-0002-2121-0934) Wohlfahrt, P., (0000-0002-2336-0178) Pausch, G., Janssens, G., Smeets, J., (0000-0003-4261-4214) Richter, C., (0000-0002-6312-1905) Berthold, J., Jost, A., Khamfongkhruea, C., Petzoldt, J., Thiele, J., Hölscher, T., (0000-0002-2121-0934) Wohlfahrt, P., (0000-0002-2336-0178) Pausch, G., Janssens, G., Smeets, J., and (0000-0003-4261-4214) Richter, C.
- Abstract
Purpose & Objective Anatomical changes during the course of proton therapy treatment can result in relevant changes in proton range, potentially causing severe under- or overdosage. Verifying the proton treatment, ideally in real-time, is thus highly desirable. Here, we present the first systematic evaluation of the sensitivity of a prompt-gamma-imaging (PGI) based range verification system to detect anatomical changes in prostate-cancer treatments. Materials & Methods A PGI slit-camera system was clinically applied to monitor spot-wise proton range deviations during 7 and 9 fractions of hypo-fractionated pencil beam scanning (PBS) treatment for 2 prostate-cancer patients, respectively (2 opposing fields, 1.5 GyE each). For all monitored fractions, in-room control CT scans (cCT) were acquired in treatment position, serving as ground-truth reference. Based on the evaluation of planning CT (pCT) and cCT data on the level of CT images, dose distributions and derived line-dose profiles, anatomical changes were identified and scored concerning cause and magnitude. The detectability of these changes with PGI was determined by manually comparing expected range shifts from line-dose profiles (pCT vs. cCT) with PGI-derived spot-wise range shifts for distal PBS spots (Fig.1). This evaluation was performed for both, measured as well as simulated PGI data based on cCT (no statistical uncertainty). Furthermore, the sensitivity for a binary differentiation between relevant (strong/moderate) and no relevant anatomical changes within a fraction was determined. Working towards an automated classification of treatment deviations for real-time treatment verification, a simple two-parametric model was established to classify each monitored field into global, local and not clinically relevant anatomical changes. Results From 64 detected anatomical changes in 32 monitored treatment fields, in total 66% (84%) were also identified by measured (simulated) PGI data (Fig.2a). All strong chang
- Published
- 2020
42. First-in-man validation of CT-based stopping-power prediction using prompt-gamma range verification
- Author
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(0000-0002-6312-1905) Berthold, J., Khamfongkhruea, C., Jost, A., Petzoldt, J., Thiele, J., Hölscher, T., (0000-0002-2121-0934) Wohlfahrt, P., Hofmann, C., (0000-0002-2336-0178) Pausch, G., Janssens, G., Smeets, J., (0000-0003-4261-4214) Richter, C., (0000-0002-6312-1905) Berthold, J., Khamfongkhruea, C., Jost, A., Petzoldt, J., Thiele, J., Hölscher, T., (0000-0002-2121-0934) Wohlfahrt, P., Hofmann, C., (0000-0002-2336-0178) Pausch, G., Janssens, G., Smeets, J., and (0000-0003-4261-4214) Richter, C.
- Abstract
Purpose & Objective Currently, the uncertainty in CT-based range prediction is substantially impairing the accuracy of particle therapy. Direct determination of stopping-power ratio (SPR) from dual-energy CT (DECT) has been proposed (DirectSPR) and initial validation studies in phantoms and biological tissues have proven a superior accuracy. However, a validation of range prediction in patients has not been achieved by any means. Here, we present the first verification of CT based proton range prediction in patients, using prompt-gamma imaging (PGI). Materials & Methods A PGI slit camera system of improved positioning accuracy, using a floor-based docking station, was developed. Its accuracy and positioning reproducibility were determined with x-ray and PGI measurements. The PGI system was clinically applied to monitor absolute proton ranges for a 1.5 GyE field during hypo-fractionated treatment of 3 prostate-cancer patients using pencil beam scanning (PBS) (Fig. 1). Per patient 3 fractions were monitored. For all monitored fractions, in-room control-CT (cCT) scans were acquired in treatment position enabling PGI-based spot-by-spot range analysis for the actual patient anatomy: The PGI measurements were compared to simulations of the expected PGI signal based on the respective cCT. Three different SPR prediction models were applied in the simulation: A standard CT-number-to-SPR conversion (Std-HLUT), a HLUT optimized with DECT-derived SPR information (Adapt-HLUT), and the directly voxel-wise calculated SPR based on the input from DECT (DirectSPR). To verify range prediction in patients, the histogram of PGI-derived range shifts from all PBS spots was analyzed concerning its Gaussian mean – acting as surrogate for the accuracy of the respective range prediction method. It is independent from random uncertainty contributions (e.g. positioning, statistical uncertainty in shift determination). Results The accuracy and precision for global PGI range verification (averagi
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- 2020
43. Orale Kontrazeption und Gerinnungsaktivität - zur Thrombogenität synthetischer Steroide
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Winkler, U. H., Hölscher, T., Oberhoff, C., Schindler, A. E., Krebs, Dieter, editor, and Berg, Dietrich, editor
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- 1993
- Full Text
- View/download PDF
44. Improved accuracy of prompt-gamma-based range verification system enabling validation of CT-based stopping-power prediction
- Author
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Berthold, J., Khamfongkhruea, C., Petzoldt, J., Thiele, J., Hölscher, T., Wohlfahrt, P., Pausch, G., Janssens, G., Smeets, J., and Richter, C.
- Abstract
Objective: To improve the accuracy of range verification with prompt-gamma-ray imaging (PGI), enabling the validation of CT-based stopping-power prediction in patients. Material & Methods: A PGI-slit-camera system was modified to enhance its positioning accuracy, now using a floor-based docking station. The camera position is calibrated with orthogonal X-rays and its reproducibility was validated with X-ray measurements at two different days with ten repositioning iterations each. To determine the PGI simulation accuracy, the camera position derived with the X-Ray system and PGI-based range shift determination in a PMMA phantom (measured vs. simulated PGI profiles) was correlated. Subsequently, the PGI system was clinically applied to monitor absolute proton ranges for a 1.5Gy field during eight fractions of a hypo-fractionated prostate-cancer treatment using pencil beam scanning (Fig.1). For all monitored fractions, in-room control CT scans were acquired in treatment position, enabling PGI-based range analysis for the actual patient anatomy. Results: The reproducibility of the camera position in beam direction was ±0.55mm (1σ) over different days. A 1.1mm offset in absolute range determination was found. It can be directly identified as simulation accuracy and is corrected in subsequent clinical application. The overall PGI range measurement uncertainty of about 2mm (averaging over multiple spots for global-shift determination) is well below the range prediction uncertainty (3.5%∙Range+2mm). Evaluation of the clinical slit-camera application and the verification of the applied stopping-power prediction using dual-energy CT is ongoing. Conclusion: The accuracy of PGI-based range verification was improved to enable the verification of CT-based stopping-power prediction in patients, potentially allowing for a future reduction of currently used range uncertainties.
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- 2019
45. First-in-man validation of CT-based stopping-power prediction using prompt-gamma-based range verification
- Author
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Berthold, J., Khamfongkhruea, C., Petzoldt, J., Thiele, J., Hölscher, T., Wohlfahrt, P., Pausch, G., Janssens, G., Smeets, J., and Richter, C.
- Abstract
Introduction Currently, the uncertainty in CT-based range prediction is substantially impairing the accuracy of particle therapy. Improvements like a determination of stopping-power ratio (SPR) from dual-energy CT (DECT) have been proposed. However, a validation of range prediction in patients has not been achieved by any means. Here, we present the first verification of proton range prediction in patients, using Prompt-Gamma-Imaging (PGI). Materials & Methods A PGI-slit-camera system was modified to enhance its positioning accuracy using a floor-based docking station. Its accuracy and positioning reproducibility were determined with x-ray and PGI measurements. The PGI system was clinically applied to monitor absolute proton ranges for a 1.5Gy field during eight fractions of hypo-fractionated treatment of two prostate-cancer patients using pencil beam scanning (Fig.1). For all monitored fractions, in-room control-CT scans were acquired in treatment position enabling PGI-based spot-by-spot range analysis for the actual patient anatomy. The PG measurements were compared to simulations of the expected PGI signal using either a standard CT-number-to-SPR conversion (HLUT) or a HLUT optimized with patient-specific DECT-derived SPR information (DECT-HLUT), respectively. Results The accuracy and precision for global range verification (averaging over multiple spots) was determined to be 0.6mm and 1.3mm (both 2σ-level), respectively. The precision is limited by remaining uncertainties in image registration and positioning reproducibility (1mm,2σ). To verify range prediction in patients, the histogram of range shifts was analyzed concerning its Gaussian mean (Fig. 2) as surrogate for the accuracy of the respective range prediction method, independent from random uncertainty contributions (e.g. positioning, statistical uncertainty in shift determination). The mean deviation for the DECT-HLUT and standard HLUT were -0.6mm and 1.3mm, respectively. Conclusion The accuracy of PGI-based range verification was improved to enable the verification of CT-based stopping-power prediction in patients for the first time. First data evaluation suggests a slight superiority of DECT-based range prediction.
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- 2019
46. Can Local Ablative Radiotherapy Revert Castration-resistant Prostate Cancer to an Earlier Stage of Disease
- Author
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Lohaus, F., Zöphel, K., Löck, S., Wirth, M., Kotzerke, J., Krause, M., Baumann, M., Troost, E. G. C., and Hölscher, T.
- Subjects
Prostate-specific membrane ,Stereotactic ablative body ,Castration-resistant prostate ,cancer ,antigen positron emission ,Ablative radiotherapy ,tomography ,urologic and male genital diseases ,radiotherapy ,Oligometastatic prostate cancer - Abstract
In prostate cancer, disease progression after primary treatment and subsequent androgen deprivation therapy is common. Intensification of systemic treatment is the standard of care. Recently, 68[16_TD$DIFF]Ga prostate-specific membrane antigen positron emission tomography (PSMA-PET) imaging was introduced to identify oligometastatic prostate cancer patients. In this retrospective, exploratory study, we report on the efficacy of PSMA-PET-guided local ablative radiotherapy (aRT) in 15 oligometastatic castrationresistant prostate cancer (CRPC) patients, selected from our prospective institutional database and treated between 2013 and 2016. After multidisciplinary discussion, aRT was delivered with two different schedules. Androgen deprivation therapy remained unchanged. Prostate-specific antigen (PSA) response and time to PSA progression were analysed. For comparison, individual time to PSA progression without aRT was estimated by individual PSA doubling time (PSADT). PSA response was observed in 11 patients (73%). Mean time to PSA progression or last follow-up was 17.9 mo, as opposed to 2.9 mo estimated from the PSADT without aRT (p 12 mo.
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- 2019
47. Fractionwise verification of delivered proton dose to prostate cancer patients based on daily in-room CT imaging
- Author
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Stützer, K., Valentini, C., Agolli, L., Hölscher, T., Thiele, J., Dutz, A., Löck, S., Krause, M., Baumann, M., and Richter, C.
- Abstract
Purpose: Retrospective proton dose calculation based on a unique dataset of daily CT images to confirm our prostate patient positioning and immobilization protocol for counterbalancing interfractional motion. Material/Methods: For 12 prostate cancer patients treated to 74GyE with double-scattered lateral or anterior oblique proton fields, daily (27-37, median 32) in-room control CTs (cCT) were acquired. Patient preparation includes a drink protocol, water-filled endorectal balloon insertion, bony anatomy alignment by orthogonal X-Ray imaging, and CT-based verification of prostate location via implanted fiducial marker positions. Fraction doses were calculated on all manually delineated cCTs and accumulated on the planning CT by a deformable image registration (DIR) in RayStation 5.99. DVH parameters of iCTVs, bladder, rectum, femoral heads, bladder and rectal wall were analyzed fractionwise prior and after DIR and values from the cumulated and planned dose distributions were compared. Results: Fig.1 shows the fractionwise assessed DVH parameters for one patient. 275 fraction doses were analyzed in total without finding trends for improving or worsening DVH parameters over treatment time. Intended target coverage, D98%(iCTV)>95%, was missed in 29 cCTs (10.5%) due to suboptimal bladder filling, endorectal balloon position or delineation variation. No overdosage was observed (D2%(iCTV)
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- 2019
48. SP-0118 What are realistic clinical goals in radical radiotherapy for oligometastatic prostate cancer?
- Author
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Hölscher, T., primary
- Published
- 2019
- Full Text
- View/download PDF
49. The view of patients and urologists on an online decision aid for patients with non-metastatic prostate cancer: A nationwide project with over 6,000 users in two years
- Author
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Huber, J., primary, Valdix, J., additional, Karschuck, P., additional, Ihrig, A., additional, Hölscher, T., additional, Krones, T., additional, Kessler, E., additional, Kliesch, S., additional, Wülfing, C., additional, Thomas, C., additional, and Groeben, C., additional
- Published
- 2019
- Full Text
- View/download PDF
50. Fractionwise verification of delivered proton dose to prostate cancer patients based on daily in-room CT imaging
- Author
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(0000-0002-8178-3144) Stützer, K., Valentini, C., Agolli, L., Hölscher, T., Thiele, J., Dutz, A., Löck, S., Krause, M., Baumann, M., Richter, C., (0000-0002-8178-3144) Stützer, K., Valentini, C., Agolli, L., Hölscher, T., Thiele, J., Dutz, A., Löck, S., Krause, M., Baumann, M., and Richter, C.
- Abstract
Purpose: Retrospective proton dose calculation based on a unique dataset of daily CT images to confirm our prostate patient positioning and immobilization protocol for counterbalancing interfractional motion. Material/Methods: For 12 prostate cancer patients treated to 74GyE with double-scattered lateral or anterior oblique proton fields, daily (27-37, median 32) in-room control CTs (cCT) were acquired. Patient preparation includes a drink protocol, water-filled endorectal balloon insertion, bony anatomy alignment by orthogonal X-Ray imaging, and CT-based verification of prostate location via implanted fiducial marker positions. Fraction doses were calculated on all manually delineated cCTs and accumulated on the planning CT by a deformable image registration (DIR) in RayStation 5.99. DVH parameters of iCTVs, bladder, rectum, femoral heads, bladder and rectal wall were analyzed fractionwise prior and after DIR and values from the cumulated and planned dose distributions were compared. Results: Fig.1 shows the fractionwise assessed DVH parameters for one patient. 275 fraction doses were analyzed in total without finding trends for improving or worsening DVH parameters over treatment time. Intended target coverage, D98%(iCTV)>95%, was missed in 29 cCTs (10.5%) due to suboptimal bladder filling, endorectal balloon position or delineation variation. No overdosage was observed (D2%(iCTV)<105%). DIR led partly to notable changes of DVH parameters (Fig.1). No alarming differences exist between planned and cumulated doses (Fig.2), but significant changes (p<0.05, Wilcoxon signed rank test) were found for D2%(iCTV), V75%(bladder) and V30Gy(bladder wall). Conclusion: Despite some suspicious fractions, the total delivered doses to prostate cancer patients are accurate with the applied positioning and immobilization protocol.
- Published
- 2019
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