92 results on '"Sepulcri M."'
Search Results
2. Local primary tumor and metastasis treatment in patients with newly diagnosed oligometastatic prostate cancer: a prospective multicenter registry (OLIGOS)
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Porreca, A., primary, Lista, G., additional, Di Gianfrancesco, L., additional, Sepulcri, M., additional, Corsi, P., additional, Miglioranza, E., additional, Amodeo, A., additional, De Marchi, D., additional, Vitelli, F.D., additional, and Krengli, M., additional
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- 2023
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3. A multicenter LArge retrospectIve daTabase on the personalization of stereotactic ABlative radiotherapy use in lung metastases from colon-rectal cancer: The LaIT-SABR study
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Nicosia, L, Franceschini, D, Perrone-Congedi, F, Casamassima, F, Gerardi, M, Rigo, M, Mazzola, R, Perna, M, Scotti, V, Fodor, A, Iurato, A, Pasqualetti, F, Gadducci, G, Chiesa, S, Niespolo, R, Bruni, A, Alicino, G, Frassinelli, L, Borghetti, P, Di Marzo, A, Ravasio, A, De Bari, B, Sepulcri, M, Aiello, D, Mortellaro, G, Sangalli, C, Franceschini, M, Montesi, G, Aquilanti, F, Lunardi, G, Valdagni, R, Fazio, I, Scarzello, G, Corti, L, Vavassori, V, Maranzano, E, Magrini, S, Arcangeli, S, Gambacorta, M, Valentini, V, Paiar, F, Ramella, S, Di Muzio, N, Livi, L, Jereczek-Fossa, B, Osti, M, Scorsetti, M, Alongi, F, Nicosia L., Franceschini D., Perrone-Congedi F., Casamassima F., Gerardi M. A., Rigo M., Mazzola R., Perna M., Scotti V., Fodor A., Iurato A., Pasqualetti F., Gadducci G., Chiesa S., Niespolo R. M., Bruni A., Alicino G., Frassinelli L., Borghetti P., Di Marzo A., Ravasio A., De Bari B., Sepulcri M., Aiello D., Mortellaro G., Sangalli C., Franceschini M., Montesi G., Aquilanti F. M., Lunardi G., Valdagni R., Fazio I., Scarzello G., Corti L., Vavassori V., Maranzano E., Magrini S. M., Arcangeli S., Gambacorta M. A., Valentini V., Paiar F., Ramella S., Di Muzio N. G., Livi L., Jereczek-Fossa B. A., Osti M. F., Scorsetti M., Alongi F., Nicosia, L, Franceschini, D, Perrone-Congedi, F, Casamassima, F, Gerardi, M, Rigo, M, Mazzola, R, Perna, M, Scotti, V, Fodor, A, Iurato, A, Pasqualetti, F, Gadducci, G, Chiesa, S, Niespolo, R, Bruni, A, Alicino, G, Frassinelli, L, Borghetti, P, Di Marzo, A, Ravasio, A, De Bari, B, Sepulcri, M, Aiello, D, Mortellaro, G, Sangalli, C, Franceschini, M, Montesi, G, Aquilanti, F, Lunardi, G, Valdagni, R, Fazio, I, Scarzello, G, Corti, L, Vavassori, V, Maranzano, E, Magrini, S, Arcangeli, S, Gambacorta, M, Valentini, V, Paiar, F, Ramella, S, Di Muzio, N, Livi, L, Jereczek-Fossa, B, Osti, M, Scorsetti, M, Alongi, F, Nicosia L., Franceschini D., Perrone-Congedi F., Casamassima F., Gerardi M. A., Rigo M., Mazzola R., Perna M., Scotti V., Fodor A., Iurato A., Pasqualetti F., Gadducci G., Chiesa S., Niespolo R. M., Bruni A., Alicino G., Frassinelli L., Borghetti P., Di Marzo A., Ravasio A., De Bari B., Sepulcri M., Aiello D., Mortellaro G., Sangalli C., Franceschini M., Montesi G., Aquilanti F. M., Lunardi G., Valdagni R., Fazio I., Scarzello G., Corti L., Vavassori V., Maranzano E., Magrini S. M., Arcangeli S., Gambacorta M. A., Valentini V., Paiar F., Ramella S., Di Muzio N. G., Livi L., Jereczek-Fossa B. A., Osti M. F., Scorsetti M., and Alongi F.
- Abstract
Introduction: Stereotactic ablative radiotherapy (SABR) has been shown to increase survival in oligometastatic disease, but local control of colorectal metastases remains poor. We aimed to identify potential predictive factors of SBRT response through a multicenter large retrospective database and to investigate the progression to the polymetastatic disease (PMD). Material and methods: The study involved 23 centers, and was approved by the Ethical Committee (Prot. Negrar 2019-ZT). 1033 lung metastases were reported. Clinical and biological parameters were evaluated as predictive for freedom from local progression-free survival (FLP). Secondary end-point was the time to the polymetastatic conversion (tPMC). Results: Two-year FLP was 75.4%. Two-year FLP for lesions treated with a BED < 00 Gy, 100–124 Gy, and ≥125 Gy was 76.1%, 70.6%, and 94% (p = 0.000). Two-year FLP for lesion measuring ≤10 mm, 10–20 mm, and >20 mm was 79.7%, 77.1%, and 66.6% (p = 0.027). At the multivariate analysis a BED ≥125 Gy significantly reduced the risk of local progression (HR 0.24, 95%CI 0.11–0.51; p = 0.000). Median tPMC was 26.8 months. Lesions treated with BED ≥125 Gy reported a significantly longer tPMC as compared to lower BED. The median tPMC for patients treated to 1, 2–3 or 4–5 simultaneous oligometastases was 28.5, 25.4, and 9.8 months (p = 0.035). Conclusion: The present is the largest series of lung colorectal metastases treated with SABR. The results support the use of SBRT in lung oligometastatic colorectal cancer patients as it might delay the transition to PMD or offer relatively long disease-free period in selected cases. Predictive factors were identified for treatment personalization.
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- 2022
4. PD-0961 Postoperative IMRT Radiotherapy in resected NSCLC patients: a multicentre retrospective analysis
- Author
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Nardone, V., primary, Bruni, A., additional, Franceschini, D., additional, Vagge, S., additional, Sepulcri, M., additional, Cappelli, A., additional, D'Angelo, E., additional, De Marco, G., additional, Angrisani, A., additional, Manetta, M., additional, Scricciolo, M., additional, Guida, C., additional, Aiello, D., additional, Fazio, I., additional, Borghetti, P., additional, and Cappabianca, S., additional
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- 2023
- Full Text
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5. CO-01.7 - MYART: A QUALITY ASSURANCE PROGRAM FOR MONITORING THE COMPLEXITY AND DELIVERY ERRORS OF ON-LINE-ADAPTED RADIOTHERAPY TREATMENT PLANS
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Dusi, F., Amico, A.G., Caricato, P., Cavinato, S., Ceroni, P., Guida, F., Badr, E.K., Paronetto, C., Sapignoli, S., Zandonà, R., Scaggion, A., Sepulcri, M., Krengli, M., and Paiusco, M.
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- 2023
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6. MA01.13 Adherence to Treatment Protocol of Patients Submitted to Neoadjuvant (Chemo) Immunotherapy in Resectable NSCLC: Ameta Analysis.
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Guerrera, F., Gallina, F.T., Balzani, E., Marinelli, D., Nuccio, A., Ferrara, R., Di Federico, A., Ambrosi, F., Faccioli, E., Mammana, M., Ferro, A., Sepulcri, M., Giusti, R., Pittaro, A., Viscardi, G., and Bertoglio, P.
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- 2024
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7. EP.08A.02 Adherence to Adjuvant Immunotherapy and Target Therapy Protocols Inpatients with Resected NSCLC: A Meta Analysis
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Bertoglio, P., Gallina, F., Marinelli, D., Nuccio, A., Di Federico, A., Ambrosi, F., Faccioli, E., Ferrara, R., Balzani, E., Ferro, A., Giusti, R., Mammana, M., Pittaro, A., Sepulcri, M., Viscardi, G., and Guerrera, F.
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- 2024
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8. MA01.12 Survival Outcomes and Pathologic Response after Chemo-Immunotherapy in Resectable NSCLC: An Individual Patient Data Meta-Analysis
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Marinelli, D., Nuccio, A., Di Federico, A., Ambrosi, F., Bertoglio, P., Faccioli, E., Ferrara, R., Ferro, A., Giusti, R., Guerrera, F., Mammana, M., Pittaro, A., Sepulcri, M., Viscardi, G., and Gallina, F.T.
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- 2024
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9. Implications of early respiratory support strategies on disease progression in critical COVID-19: a matched subanalysis of the prospective RISC-19-ICU cohort
- Author
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Wendel Garcia, P, Aguirre-Bermeo, H, Buehler, P, Alfaro-Farias, M, Yuen, B, David, S, Tschoellitsch, T, Wengenmayer, T, Korsos, A, Fogagnolo, A, Kleger, G, Wu, M, Colombo, R, Turrini, F, Potalivo, A, Rezoagli, E, Rodriguez-Garcia, R, Castro, P, Lander-Azcona, A, Martin-Delgado, M, Lozano-Gomez, H, Ensner, R, Michot, M, Gehring, N, Schott, P, Siegemund, M, Merki, L, Wiegand, J, Jeitziner, M, Laube, M, Salomon, P, Hillgaertner, F, Dullenkopf, A, Ksouri, H, Cereghetti, S, Grazioli, S, Burkle, C, Marrel, J, Fleisch, I, Perez, M, Baltussen Weber, A, Ceruti, S, Marquardt, K, Hubner, T, Redecker, H, Studhalter, M, Stephan, M, Selz, D, Pietsch, U, Ristic, A, Heise, A, Meyer zu Bentrup, F, Franchitti Laurent, M, Fodor, P, Gaspert, T, Haberthuer, C, Colak, E, Heuberger, D, Fumeaux, T, Montomoli, J, Guerci, P, Schuepbach, R, Hilty, M, Roche-Campo, F, Algaba-Calderon, A, Apolo, J, Aslanidis, T, Babik, B, Boroli, F, Brem, J, Brenni, M, Brugger, S, Camen, G, Catena, E, Ceriani, R, Chau, I, Christ, A, Cogliati, C, Concha, P, Delahaye, G, Drvaric, I, Escos-Orta, J, Fabbri, S, Facondini, F, Filipovic, M, Gamez-Zapata, J, Gerecke, P, Gommers, D, Hillermann, T, Ince, C, Jenni-Moser, B, Jovic, M, Jurkolow, G, Klarer, A, Lambert, A, Laurent, J, Lavanchy, J, Lienhardt-Nobbe, B, Locher, P, Losser, M, Lussman, R, Magliocca, A, Margarit, A, Martinez, A, Mauri, R, Mayor-Vazquez, E, Meier, J, Moret-Bochatay, M, Murrone, M, Naon, D, Neff, T, Novy, E, Petersen, L, Pugin, J, Ramelet, A, Rilinger, J, Rimensberger, P, Sepulcri, M, Shaikh, K, Sieber, M, Simonini, M, Spadaro, S, Sridharan, G, Stahl, K, Staudacher, D, Taboada-Fraga, X, Tellez, A, Urech, S, Vitale, G, Vizmanos-Lamotte, G, Welte, T, Zalba-Etayo, B, Zellweger, N, Wendel Garcia P. D., Aguirre-Bermeo H., Buehler P. K., Alfaro-Farias M., Yuen B., David S., Tschoellitsch T., Wengenmayer T., Korsos A., Fogagnolo A., Kleger G. -R., Wu M. A., Colombo R., Turrini F., Potalivo A., Rezoagli E., Rodriguez-Garcia R., Castro P., Lander-Azcona A., Martin-Delgado M. C., Lozano-Gomez H., Ensner R., Michot M. P., Gehring N., Schott P., Siegemund M., Merki L., Wiegand J., Jeitziner M. M., Laube M., Salomon P., Hillgaertner F., Dullenkopf A., Ksouri H., Cereghetti S., Grazioli S., Burkle C., Marrel J., Fleisch I., Perez M. -H., Baltussen Weber A., Ceruti S., Marquardt K., Hubner T., Redecker H., Studhalter M., Stephan M., Selz D., Pietsch U., Ristic A., Heise A., Meyer zu Bentrup F., Franchitti Laurent M., Fodor P., Gaspert T., Haberthuer C., Colak E., Heuberger D. M., Fumeaux T., Montomoli J., Guerci P., Schuepbach R. A., Hilty M. P., Roche-Campo F., Algaba-Calderon A., Apolo J., Aslanidis T., Babik B., Boroli F., Brem J., Brenni M., Brugger S. D., Camen G., Catena E., Ceriani R., Chau I., Christ A., Cogliati C., Concha P., Delahaye G., Drvaric I., Escos-Orta J., Fabbri S., Facondini F., Filipovic M., Gamez-Zapata J., Gerecke P., Gommers D., Hillermann T., Ince C., Jenni-Moser B., Jovic M., Jurkolow G., Klarer A., Lambert A., Laurent J. -C., Lavanchy J., Lienhardt-Nobbe B., Locher P., Losser M. -R., Lussman R. F., Magliocca A., Margarit A., Martinez A., Mauri R., Mayor-Vazquez E., Meier J., Moret-Bochatay M., Murrone M., Naon D., Neff T., Novy E., Petersen L., Pugin J., Ramelet A. -S., Rilinger J., Rimensberger P. C., Sepulcri M., Shaikh K., Sieber M., Simonini M. S., Spadaro S., Sridharan G. O., Stahl K., Staudacher D. L., Taboada-Fraga X., Tellez A., Urech S., Vitale G., Vizmanos-Lamotte G., Welte T., Zalba-Etayo B., Zellweger N., Wendel Garcia, P, Aguirre-Bermeo, H, Buehler, P, Alfaro-Farias, M, Yuen, B, David, S, Tschoellitsch, T, Wengenmayer, T, Korsos, A, Fogagnolo, A, Kleger, G, Wu, M, Colombo, R, Turrini, F, Potalivo, A, Rezoagli, E, Rodriguez-Garcia, R, Castro, P, Lander-Azcona, A, Martin-Delgado, M, Lozano-Gomez, H, Ensner, R, Michot, M, Gehring, N, Schott, P, Siegemund, M, Merki, L, Wiegand, J, Jeitziner, M, Laube, M, Salomon, P, Hillgaertner, F, Dullenkopf, A, Ksouri, H, Cereghetti, S, Grazioli, S, Burkle, C, Marrel, J, Fleisch, I, Perez, M, Baltussen Weber, A, Ceruti, S, Marquardt, K, Hubner, T, Redecker, H, Studhalter, M, Stephan, M, Selz, D, Pietsch, U, Ristic, A, Heise, A, Meyer zu Bentrup, F, Franchitti Laurent, M, Fodor, P, Gaspert, T, Haberthuer, C, Colak, E, Heuberger, D, Fumeaux, T, Montomoli, J, Guerci, P, Schuepbach, R, Hilty, M, Roche-Campo, F, Algaba-Calderon, A, Apolo, J, Aslanidis, T, Babik, B, Boroli, F, Brem, J, Brenni, M, Brugger, S, Camen, G, Catena, E, Ceriani, R, Chau, I, Christ, A, Cogliati, C, Concha, P, Delahaye, G, Drvaric, I, Escos-Orta, J, Fabbri, S, Facondini, F, Filipovic, M, Gamez-Zapata, J, Gerecke, P, Gommers, D, Hillermann, T, Ince, C, Jenni-Moser, B, Jovic, M, Jurkolow, G, Klarer, A, Lambert, A, Laurent, J, Lavanchy, J, Lienhardt-Nobbe, B, Locher, P, Losser, M, Lussman, R, Magliocca, A, Margarit, A, Martinez, A, Mauri, R, Mayor-Vazquez, E, Meier, J, Moret-Bochatay, M, Murrone, M, Naon, D, Neff, T, Novy, E, Petersen, L, Pugin, J, Ramelet, A, Rilinger, J, Rimensberger, P, Sepulcri, M, Shaikh, K, Sieber, M, Simonini, M, Spadaro, S, Sridharan, G, Stahl, K, Staudacher, D, Taboada-Fraga, X, Tellez, A, Urech, S, Vitale, G, Vizmanos-Lamotte, G, Welte, T, Zalba-Etayo, B, Zellweger, N, Wendel Garcia P. D., Aguirre-Bermeo H., Buehler P. K., Alfaro-Farias M., Yuen B., David S., Tschoellitsch T., Wengenmayer T., Korsos A., Fogagnolo A., Kleger G. -R., Wu M. A., Colombo R., Turrini F., Potalivo A., Rezoagli E., Rodriguez-Garcia R., Castro P., Lander-Azcona A., Martin-Delgado M. C., Lozano-Gomez H., Ensner R., Michot M. P., Gehring N., Schott P., Siegemund M., Merki L., Wiegand J., Jeitziner M. M., Laube M., Salomon P., Hillgaertner F., Dullenkopf A., Ksouri H., Cereghetti S., Grazioli S., Burkle C., Marrel J., Fleisch I., Perez M. -H., Baltussen Weber A., Ceruti S., Marquardt K., Hubner T., Redecker H., Studhalter M., Stephan M., Selz D., Pietsch U., Ristic A., Heise A., Meyer zu Bentrup F., Franchitti Laurent M., Fodor P., Gaspert T., Haberthuer C., Colak E., Heuberger D. M., Fumeaux T., Montomoli J., Guerci P., Schuepbach R. A., Hilty M. P., Roche-Campo F., Algaba-Calderon A., Apolo J., Aslanidis T., Babik B., Boroli F., Brem J., Brenni M., Brugger S. D., Camen G., Catena E., Ceriani R., Chau I., Christ A., Cogliati C., Concha P., Delahaye G., Drvaric I., Escos-Orta J., Fabbri S., Facondini F., Filipovic M., Gamez-Zapata J., Gerecke P., Gommers D., Hillermann T., Ince C., Jenni-Moser B., Jovic M., Jurkolow G., Klarer A., Lambert A., Laurent J. -C., Lavanchy J., Lienhardt-Nobbe B., Locher P., Losser M. -R., Lussman R. F., Magliocca A., Margarit A., Martinez A., Mauri R., Mayor-Vazquez E., Meier J., Moret-Bochatay M., Murrone M., Naon D., Neff T., Novy E., Petersen L., Pugin J., Ramelet A. -S., Rilinger J., Rimensberger P. C., Sepulcri M., Shaikh K., Sieber M., Simonini M. S., Spadaro S., Sridharan G. O., Stahl K., Staudacher D. L., Taboada-Fraga X., Tellez A., Urech S., Vitale G., Vizmanos-Lamotte G., Welte T., Zalba-Etayo B., and Zellweger N.
- Abstract
Background: Uncertainty about the optimal respiratory support strategies in critically ill COVID-19 patients is widespread. While the risks and benefits of noninvasive techniques versus early invasive mechanical ventilation (IMV) are intensely debated, actual evidence is lacking. We sought to assess the risks and benefits of different respiratory support strategies, employed in intensive care units during the first months of the COVID-19 pandemic on intubation and intensive care unit (ICU) mortality rates. Methods: Subanalysis of a prospective, multinational registry of critically ill COVID-19 patients. Patients were subclassified into standard oxygen therapy ≥10 L/min (SOT), high-flow oxygen therapy (HFNC), noninvasive positive-pressure ventilation (NIV), and early IMV, according to the respiratory support strategy employed at the day of admission to ICU. Propensity score matching was performed to ensure comparability between groups. Results: Initially, 1421 patients were assessed for possible study inclusion. Of these, 351 patients (85 SOT, 87 HFNC, 87 NIV, and 92 IMV) remained eligible for full analysis after propensity score matching. 55% of patients initially receiving noninvasive respiratory support required IMV. The intubation rate was lower in patients initially ventilated with HFNC and NIV compared to those who received SOT (SOT: 64%, HFNC: 52%, NIV: 49%, p = 0.025). Compared to the other respiratory support strategies, NIV was associated with a higher overall ICU mortality (SOT: 18%, HFNC: 20%, NIV: 37%, IMV: 25%, p = 0.016). Conclusion: In this cohort of critically ill patients with COVID-19, a trial of HFNC appeared to be the most balanced initial respiratory support strategy, given the reduced intubation rate and comparable ICU mortality rate. Nonetheless, considering the uncertainty and stress associated with the COVID-19 pandemic, SOT and early IMV represented safe initial respiratory support strategies. The presented findings, in
- Published
- 2021
10. Machine learning using the extreme gradient boosting (XGBoost) algorithm predicts 5-day delta of SOFA score at ICU admission in COVID-19 patients
- Author
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Montomoli, J, Romeo, L, Moccia, S, Bernardini, M, Migliorelli, L, Berardini, D, Donati, A, Carsetti, A, Bocci, M, Wendel Garcia, P, Fumeaux, T, Guerci, P, Schupbach, R, Ince, C, Frontoni, E, Hilty, M, Alfaro-Farias, M, Vizmanos-Lamotte, G, Tschoellitsch, T, Meier, J, Aguirre-Bermeo, H, Apolo, J, Martinez, A, Jurkolow, G, Delahaye, G, Novy, E, Losser, M, Wengenmayer, T, Rilinger, J, Staudacher, D, David, S, Welte, T, Stahl, K, Pavlos, A, Aslanidis, T, Korsos, A, Babik, B, Nikandish, R, Rezoagli, E, Giacomini, M, Nova, A, Fogagnolo, A, Spadaro, S, Ceriani, R, Murrone, M, Wu, M, Cogliati, C, Colombo, R, Catena, E, Turrini, F, Simonini, M, Fabbri, S, Potalivo, A, Facondini, F, Gangitano, G, Perin, T, Grazia Bocci, M, Antonelli, M, Gommers, D, Rodriguez-Garcia, R, Gamez-Zapata, J, Taboada-Fraga, X, Castro, P, Tellez, A, Lander-Azcona, A, Escos-Orta, J, Martin-Delgado, M, Algaba-Calderon, A, Franch-Llasat, D, Roche-Campo, F, Lozano-Gomez, H, Zalba-Etayo, B, Michot, M, Klarer, A, Ensner, R, Schott, P, Urech, S, Zellweger, N, Merki, L, Lambert, A, Laube, M, Jeitziner, M, Jenni-Moser, B, Wiegand, J, Yuen, B, Lienhardt-Nobbe, B, Westphalen, A, Salomon, P, Drvaric, I, Hillgaertner, F, Sieber, M, Dullenkopf, A, Petersen, L, Chau, I, Ksouri, H, Sridharan, G, Cereghetti, S, Boroli, F, Pugin, J, Grazioli, S, Rimensberger, P, Burkle, C, Marrel, J, Brenni, M, Fleisch, I, Lavanchy, J, Perez, M, Ramelet, A, Weber, A, Gerecke, P, Christ, A, Ceruti, S, Glotta, A, Marquardt, K, Shaikh, K, Hubner, T, Neff, T, Redecker, H, Moret-Bochatay, M, Bentrup, F, Studhalter, M, Stephan, M, Brem, J, Gehring, N, Selz, D, Naon, D, Kleger, G, Pietsch, U, Filipovic, M, Ristic, A, Sepulcri, M, Heise, A, Franchitti Laurent, M, Laurent, J, Schuepbach, R, Heuberger, D, Buhler, P, Brugger, S, Fodor, P, Locher, P, Camen, G, Gaspert, T, Jovic, M, Haberthuer, C, Lussman, R, Colak, E, Montomoli J., Romeo L., Moccia S., Bernardini M., Migliorelli L., Berardini D., Donati A., Carsetti A., Bocci M. G., Wendel Garcia P. D., Fumeaux T., Guerci P., Schupbach R. A., Ince C., Frontoni E., Hilty M. P., Alfaro-Farias M., Vizmanos-Lamotte G., Tschoellitsch T., Meier J., Aguirre-Bermeo H., Apolo J., Martinez A., Jurkolow G., Delahaye G., Novy E., Losser M. -R., Wengenmayer T., Rilinger J., Staudacher D. L., David S., Welte T., Stahl K., Pavlos A., Aslanidis T., Korsos A., Babik B., Nikandish R., Rezoagli E., Giacomini M., Nova A., Fogagnolo A., Spadaro S., Ceriani R., Murrone M., Wu M. A., Cogliati C., Colombo R., Catena E., Turrini F., Simonini M. S., Fabbri S., Potalivo A., Facondini F., Gangitano G., Perin T., Grazia Bocci M., Antonelli M., Gommers D., Rodriguez-Garcia R., Gamez-Zapata J., Taboada-Fraga X., Castro P., Tellez A., Lander-Azcona A., Escos-Orta J., Martin-Delgado M. C., Algaba-Calderon A., Franch-Llasat D., Roche-Campo F., Lozano-Gomez H., Zalba-Etayo B., Michot M. P., Klarer A., Ensner R., Schott P., Urech S., Zellweger N., Merki L., Lambert A., Laube M., Jeitziner M. M., Jenni-Moser B., Wiegand J., Yuen B., Lienhardt-Nobbe B., Westphalen A., Salomon P., Drvaric I., Hillgaertner F., Sieber M., Dullenkopf A., Petersen L., Chau I., Ksouri H., Sridharan G. O., Cereghetti S., Boroli F., Pugin J., Grazioli S., Rimensberger P. C., Burkle C., Marrel J., Brenni M., Fleisch I., Lavanchy J., Perez M. -H., Ramelet A. -S., Weber A. B., Gerecke P., Christ A., Ceruti S., Glotta A., Marquardt K., Shaikh K., Hubner T., Neff T., Redecker H., Moret-Bochatay M., Bentrup F. Z., Studhalter M., Stephan M., Brem J., Gehring N., Selz D., Naon D., Kleger G. -R., Pietsch U., Filipovic M., Ristic A., Sepulcri M., Heise A., Franchitti Laurent M., Laurent J. -C., Schuepbach R., Heuberger D., Buhler P., Brugger S., Fodor P., Locher P., Camen G., Gaspert T., Jovic M., Haberthuer C., Lussman R. F., Colak E., Montomoli, J, Romeo, L, Moccia, S, Bernardini, M, Migliorelli, L, Berardini, D, Donati, A, Carsetti, A, Bocci, M, Wendel Garcia, P, Fumeaux, T, Guerci, P, Schupbach, R, Ince, C, Frontoni, E, Hilty, M, Alfaro-Farias, M, Vizmanos-Lamotte, G, Tschoellitsch, T, Meier, J, Aguirre-Bermeo, H, Apolo, J, Martinez, A, Jurkolow, G, Delahaye, G, Novy, E, Losser, M, Wengenmayer, T, Rilinger, J, Staudacher, D, David, S, Welte, T, Stahl, K, Pavlos, A, Aslanidis, T, Korsos, A, Babik, B, Nikandish, R, Rezoagli, E, Giacomini, M, Nova, A, Fogagnolo, A, Spadaro, S, Ceriani, R, Murrone, M, Wu, M, Cogliati, C, Colombo, R, Catena, E, Turrini, F, Simonini, M, Fabbri, S, Potalivo, A, Facondini, F, Gangitano, G, Perin, T, Grazia Bocci, M, Antonelli, M, Gommers, D, Rodriguez-Garcia, R, Gamez-Zapata, J, Taboada-Fraga, X, Castro, P, Tellez, A, Lander-Azcona, A, Escos-Orta, J, Martin-Delgado, M, Algaba-Calderon, A, Franch-Llasat, D, Roche-Campo, F, Lozano-Gomez, H, Zalba-Etayo, B, Michot, M, Klarer, A, Ensner, R, Schott, P, Urech, S, Zellweger, N, Merki, L, Lambert, A, Laube, M, Jeitziner, M, Jenni-Moser, B, Wiegand, J, Yuen, B, Lienhardt-Nobbe, B, Westphalen, A, Salomon, P, Drvaric, I, Hillgaertner, F, Sieber, M, Dullenkopf, A, Petersen, L, Chau, I, Ksouri, H, Sridharan, G, Cereghetti, S, Boroli, F, Pugin, J, Grazioli, S, Rimensberger, P, Burkle, C, Marrel, J, Brenni, M, Fleisch, I, Lavanchy, J, Perez, M, Ramelet, A, Weber, A, Gerecke, P, Christ, A, Ceruti, S, Glotta, A, Marquardt, K, Shaikh, K, Hubner, T, Neff, T, Redecker, H, Moret-Bochatay, M, Bentrup, F, Studhalter, M, Stephan, M, Brem, J, Gehring, N, Selz, D, Naon, D, Kleger, G, Pietsch, U, Filipovic, M, Ristic, A, Sepulcri, M, Heise, A, Franchitti Laurent, M, Laurent, J, Schuepbach, R, Heuberger, D, Buhler, P, Brugger, S, Fodor, P, Locher, P, Camen, G, Gaspert, T, Jovic, M, Haberthuer, C, Lussman, R, Colak, E, Montomoli J., Romeo L., Moccia S., Bernardini M., Migliorelli L., Berardini D., Donati A., Carsetti A., Bocci M. G., Wendel Garcia P. D., Fumeaux T., Guerci P., Schupbach R. A., Ince C., Frontoni E., Hilty M. P., Alfaro-Farias M., Vizmanos-Lamotte G., Tschoellitsch T., Meier J., Aguirre-Bermeo H., Apolo J., Martinez A., Jurkolow G., Delahaye G., Novy E., Losser M. -R., Wengenmayer T., Rilinger J., Staudacher D. L., David S., Welte T., Stahl K., Pavlos A., Aslanidis T., Korsos A., Babik B., Nikandish R., Rezoagli E., Giacomini M., Nova A., Fogagnolo A., Spadaro S., Ceriani R., Murrone M., Wu M. A., Cogliati C., Colombo R., Catena E., Turrini F., Simonini M. S., Fabbri S., Potalivo A., Facondini F., Gangitano G., Perin T., Grazia Bocci M., Antonelli M., Gommers D., Rodriguez-Garcia R., Gamez-Zapata J., Taboada-Fraga X., Castro P., Tellez A., Lander-Azcona A., Escos-Orta J., Martin-Delgado M. C., Algaba-Calderon A., Franch-Llasat D., Roche-Campo F., Lozano-Gomez H., Zalba-Etayo B., Michot M. P., Klarer A., Ensner R., Schott P., Urech S., Zellweger N., Merki L., Lambert A., Laube M., Jeitziner M. M., Jenni-Moser B., Wiegand J., Yuen B., Lienhardt-Nobbe B., Westphalen A., Salomon P., Drvaric I., Hillgaertner F., Sieber M., Dullenkopf A., Petersen L., Chau I., Ksouri H., Sridharan G. O., Cereghetti S., Boroli F., Pugin J., Grazioli S., Rimensberger P. C., Burkle C., Marrel J., Brenni M., Fleisch I., Lavanchy J., Perez M. -H., Ramelet A. -S., Weber A. B., Gerecke P., Christ A., Ceruti S., Glotta A., Marquardt K., Shaikh K., Hubner T., Neff T., Redecker H., Moret-Bochatay M., Bentrup F. Z., Studhalter M., Stephan M., Brem J., Gehring N., Selz D., Naon D., Kleger G. -R., Pietsch U., Filipovic M., Ristic A., Sepulcri M., Heise A., Franchitti Laurent M., Laurent J. -C., Schuepbach R., Heuberger D., Buhler P., Brugger S., Fodor P., Locher P., Camen G., Gaspert T., Jovic M., Haberthuer C., Lussman R. F., and Colak E.
- Abstract
Background: Accurate risk stratification of critically ill patients with coronavirus disease 2019 (COVID-19) is essential for optimizing resource allocation, delivering targeted interventions, and maximizing patient survival probability. Machine learning (ML) techniques are attracting increased interest for the development of prediction models as they excel in the analysis of complex signals in data-rich environments such as critical care. Methods: We retrieved data on patients with COVID-19 admitted to an intensive care unit (ICU) between March and October 2020 from the RIsk Stratification in COVID-19 patients in the Intensive Care Unit (RISC-19-ICU) registry. We applied the Extreme Gradient Boosting (XGBoost) algorithm to the data to predict as a binary outcome the increase or decrease in patients’ Sequential Organ Failure Assessment (SOFA) score on day 5 after ICU admission. The model was iteratively cross-validated in different subsets of the study cohort. Results: The final study population consisted of 675 patients. The XGBoost model correctly predicted a decrease in SOFA score in 320/385 (83%) critically ill COVID-19 patients, and an increase in the score in 210/290 (72%) patients. The area under the mean receiver operating characteristic curve for XGBoost was significantly higher than that for the logistic regression model (0.86 vs. 0.69, P < 0.01 [paired t-test with 95% confidence interval]). Conclusions: The XGBoost model predicted the change in SOFA score in critically ill COVID-19 patients admitted to the ICU and can guide clinical decision support systems (CDSSs) aimed at optimizing available resources.
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- 2021
11. The role of stereotactic body radiation therapy and its integration with systemic therapies in metastatic kidney cancer: a multicenter study on behalf of the AIRO (Italian Association of Radiotherapy and Clinical Oncology) genitourinary study group
- Author
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Franzese, C, Marvaso, G, Francolini, G, Borghetti, P, Trodella, L, Sepulcri, M, Matrone, F, Nicosia, L, Timon, G, Ognibene, L, Vinciguerra, A, Alongi, F, Bortolus, R, Corti, L, Ramella, S, Magrini, S, Livi, L, Jereczek-Fossa, B, Scorsetti, M, Arcangeli, S, Franzese C., Marvaso G., Francolini G., Borghetti P., Trodella L. E., Sepulcri M., Matrone F., Nicosia L., Timon G., Ognibene L., Vinciguerra A., Alongi F., Bortolus R., Corti L., Ramella S., Magrini S. M., Livi L., Jereczek-Fossa B. A., Scorsetti M., Arcangeli S., Franzese, C, Marvaso, G, Francolini, G, Borghetti, P, Trodella, L, Sepulcri, M, Matrone, F, Nicosia, L, Timon, G, Ognibene, L, Vinciguerra, A, Alongi, F, Bortolus, R, Corti, L, Ramella, S, Magrini, S, Livi, L, Jereczek-Fossa, B, Scorsetti, M, Arcangeli, S, Franzese C., Marvaso G., Francolini G., Borghetti P., Trodella L. E., Sepulcri M., Matrone F., Nicosia L., Timon G., Ognibene L., Vinciguerra A., Alongi F., Bortolus R., Corti L., Ramella S., Magrini S. M., Livi L., Jereczek-Fossa B. A., Scorsetti M., and Arcangeli S.
- Abstract
Although systemic therapy represents the standard of care for polymetastatic kidney cancer, stereotactic body radiation therapy (SBRT) may play a relevant role in the oligometastatic setting. We conducted a multicenter study including oligometastatic kidney cancer treated with SBRT. We retrospectively analyzed 207 patients who underwent 245 SBRT treatments on 385 lesions, including 165 (42.9%) oligorecurrent (OR) and 220 (57.1%) oligoprogressive (OP) lesions. Most common sites were lung (30.9%) for OR group, and bone (32.7%) for OP group. Among 78 (31.8%) patients receiving concomitant systemic therapy, sunitinib (61.5%) and pazopanib (15.4%) were the most common for OR patients, while sunitinib (49.2%) and nivolumab (20.0%) for OP patients. End points were local control (LC), progression free survival (PFS), overall survival (OS), time to next systemic therapy (TTNS) and toxicity. Median follow-up was 18.6 months. 1, 2 and 3-year LC rates were 89.4%, 80.1% and 76.6% in OR patients, and 82.7%, 76.9% and 64.3% in those with OP, respectively. LC for OP group was influenced by clear cell histology (p = 0.000), total number of lesions (p = 0.004), systemic therapy during SBRT (p = 0.012), and SBRT dose (p = 0.012). Median PFS was 37.9 months. 1, 2- and 3-year OS was 92.7%, 86.4% and 81.8%, respectively. Median TTNS was 15.8 months for OR patients, and 13.9 months for OP patients. No grade 3 or higher toxicities were reported for both groups. SBRT may be considered an effective safe option in the multidisciplinary management of both OR and OP metastases from kidney cancer.
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- 2021
12. A Multicenter Large Retrospective Database on the Personalization of Stereotactic Ablative Radiotherapy for Lung Metastases From Colon-Rectal Cancer: The LaIT-SABR Study
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Nicosia, L, Franceschini, D, Perrone, F, Casamassima, F, Gerardi, M, Perna, M, Scotti, V, Fodor, A, Mazzola, R, Rigo, M, Iurato, A, Pasqualetti, F, Chiesa, S, Niespolo, R, Bruni, A, Frassinelli, L, Borghetti, P, Marzo, A, Ravasio, A, De Bari, B, Sepulcri, M, Aiello, D, Mortellaro, G, Sangalli, C, Franceschini, M, Montesi, G, Aquilanti, F, Valdagni, R, Fazio, I, Corti, L, Vavassori, L, Maranzano, E, Magrini, S, Lohr, F, Arcangeli, S, Valentini, V, Paiar, F, Ramella, S, Di Muzio, N, Livi, L, Jereczek-Fossa, B, Osti, M, Scorsetti, M, Alongi, F, Nicosia L., Franceschini D., Perrone F., Casamassima F., Gerardi M. A., Perna M., Scotti V., Fodor A., Mazzola R., Rigo M., Iurato A., Pasqualetti F., Chiesa S., Niespolo R. M., Bruni A., Frassinelli L., Borghetti P., Marzo A. D., Ravasio A., De Bari B., Sepulcri M., Aiello D., Mortellaro G., Sangalli C., Franceschini M., Montesi G., Aquilanti F. M., Valdagni R., Fazio I., Corti L., Vavassori L., Maranzano E., Magrini S., Lohr F., Arcangeli S., Valentini V., Paiar F., Ramella S., Di Muzio N. G., Livi L., Jereczek-Fossa B. A., Osti M. F., Scorsetti M., Alongi F., Nicosia, L, Franceschini, D, Perrone, F, Casamassima, F, Gerardi, M, Perna, M, Scotti, V, Fodor, A, Mazzola, R, Rigo, M, Iurato, A, Pasqualetti, F, Chiesa, S, Niespolo, R, Bruni, A, Frassinelli, L, Borghetti, P, Marzo, A, Ravasio, A, De Bari, B, Sepulcri, M, Aiello, D, Mortellaro, G, Sangalli, C, Franceschini, M, Montesi, G, Aquilanti, F, Valdagni, R, Fazio, I, Corti, L, Vavassori, L, Maranzano, E, Magrini, S, Lohr, F, Arcangeli, S, Valentini, V, Paiar, F, Ramella, S, Di Muzio, N, Livi, L, Jereczek-Fossa, B, Osti, M, Scorsetti, M, Alongi, F, Nicosia L., Franceschini D., Perrone F., Casamassima F., Gerardi M. A., Perna M., Scotti V., Fodor A., Mazzola R., Rigo M., Iurato A., Pasqualetti F., Chiesa S., Niespolo R. M., Bruni A., Frassinelli L., Borghetti P., Marzo A. D., Ravasio A., De Bari B., Sepulcri M., Aiello D., Mortellaro G., Sangalli C., Franceschini M., Montesi G., Aquilanti F. M., Valdagni R., Fazio I., Corti L., Vavassori L., Maranzano E., Magrini S., Lohr F., Arcangeli S., Valentini V., Paiar F., Ramella S., Di Muzio N. G., Livi L., Jereczek-Fossa B. A., Osti M. F., Scorsetti M., and Alongi F.
- Abstract
PURPOSE/OBJECTIVE(S): stereotactic ablative radiotherapy (SABR) has been shown to increase survival rates in oligometastatic disease (OMD), but local control of colorectal metastases still remains poor. We aimed to identify potential predictive factors of SBRT response through a multicenter large retrospective database and to investigate how lung SBRT can impact on the progression to the polymetastatic disease (PMD). MATERIALS/METHODS: the study involved 22 centers, and was approved by the Ethical Committee (Prot. Negrar 2019-ZT). 1023 lung metastases treated with SBRT in 622 patients were reported. The median BED was 105 Gy10. Lesion diameter GTV, PTV volume, dose, fractionations, and site of primary tumor were evaluated as potential predictive marker for SBRT response for the primary end-point local progression-free survival (LPFS). EGFR, KRAS, NRAS, BRAF, and MSI were also evaluated. Secondary end-point was the time to the polymetastatic conversion (ttPMC). RESULTS: the median follow-up was 26 months (range 3-117 months). The median lesion diameter was 13 mm (range 4-58 mm). The 2- and 3-year LPFS were 75.6% and 71%, respectively. At the univariate analysis, BED ≥125Gy10 was associated with improved LPFS (2-year: 94.1% versus 72.6%; P = < 0.0001), single fraction SBRT correlated with better LPFS in the overall population (2-year: 80.6% versus 73.7%; P = 0.03), but no significant difference was observed when considering the population treated with BED > 100 Gy10. Lesion diameter ≤19 mm correlated with improved LPFS (2-year 80% versus 60%; P = < 0.0001). The median ttPMC was 26 months, and the 2-year ttPMC was 54.5%. The median PFS was 11.3 months. After SABR, 36% patients had polymetastatic relapse, 39.5% patients had an oligometastatic relapse, and 24.5% patients had no further relapse. CONCLUSION: the present is the largest series of lung colorectal metastases treated with SABR. The results support the use of SBRT in lung oligometastatic colorectal canc
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- 2021
13. Implications of early respiratory support strategies on disease progression in critical COVID-19: a matched subanalysis of the prospective RISC-19-ICU cohort
- Author
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Wendel Garcia P. D., Aguirre-Bermeo H., Buehler P. K., Alfaro-Farias M., Yuen B., David S., Tschoellitsch T., Wengenmayer T., Korsos A., Fogagnolo A., Kleger G. -R., Wu M. A., Colombo R., Turrini F., Potalivo A., Rezoagli E., Rodriguez-Garcia R., Castro P., Lander-Azcona A., Martin-Delgado M. C., Lozano-Gomez H., Ensner R., Michot M. P., Gehring N., Schott P., Siegemund M., Merki L., Wiegand J., Jeitziner M. M., Laube M., Salomon P., Hillgaertner F., Dullenkopf A., Ksouri H., Cereghetti S., Grazioli S., Burkle C., Marrel J., Fleisch I., Perez M. -H., Baltussen Weber A., Ceruti S., Marquardt K., Hubner T., Redecker H., Studhalter M., Stephan M., Selz D., Pietsch U., Ristic A., Heise A., Meyer zu Bentrup F., Franchitti Laurent M., Fodor P., Gaspert T., Haberthuer C., Colak E., Heuberger D. M., Fumeaux T., Montomoli J., Guerci P., Schuepbach R. A., Hilty M. P., Roche-Campo F., Algaba-Calderon A., Apolo J., Aslanidis T., Babik B., Boroli F., Brem J., Brenni M., Brugger S. D., Camen G., Catena E., Ceriani R., Chau I., Christ A., Cogliati C., Concha P., Delahaye G., Drvaric I., Escos-Orta J., Fabbri S., Facondini F., Filipovic M., Gamez-Zapata J., Gerecke P., Gommers D., Hillermann T., Ince C., Jenni-Moser B., Jovic M., Jurkolow G., Klarer A., Lambert A., Laurent J. -C., Lavanchy J., Lienhardt-Nobbe B., Locher P., Losser M. -R., Lussman R. F., Magliocca A., Margarit A., Martinez A., Mauri R., Mayor-Vazquez E., Meier J., Moret-Bochatay M., Murrone M., Naon D., Neff T., Novy E., Petersen L., Pugin J., Ramelet A. -S., Rilinger J., Rimensberger P. C., Sepulcri M., Shaikh K., Sieber M., Simonini M. S., Spadaro S., Sridharan G. O., Stahl K., Staudacher D. L., Taboada-Fraga X., Tellez A., Urech S., Vitale G., Vizmanos-Lamotte G., Welte T., Zalba-Etayo B., Zellweger N., Graduate School, ACS - Atherosclerosis & ischemic syndromes, ACS - Microcirculation, AII - Inflammatory diseases, RISC-19-ICU Investigators, Wendel Garcia, P.D., Aguirre-Bermeo, H., Buehler, P.K., Alfaro-Farias, M., Yuen, B., David, S., Tschoellitsch, T., Wengenmayer, T., Korsos, A., Fogagnolo, A., Kleger, G.R., Wu, M.A., Colombo, R., Turrini, F., Potalivo, A., Rezoagli, E., Rodríguez-García, R., Castro, P., Lander-Azcona, A., Martín-Delgado, M.C., Lozano-Gómez, H., Ensner, R., Michot, M.P., Gehring, N., Schott, P., Siegemund, M., Merki, L., Wiegand, J., Jeitziner, M.M., Laube, M., Salomon, P., Hillgaertner, F., Dullenkopf, A., Ksouri, H., Cereghetti, S., Grazioli, S., Bürkle, C., Marrel, J., Fleisch, I., Perez, M.H., Baltussen Weber, A., Ceruti, S., Marquardt, K., Hübner, T., Redecker, H., Studhalter, M., Stephan, M., Selz, D., Pietsch, U., Ristic, A., Heise, A., Meyer Zu Bentrup, F., Franchitti Laurent, M., Fodor, P., Gaspert, T., Haberthuer, C., Colak, E., Heuberger, D.M., Fumeaux, T., Montomoli, J., Guerci, P., Schuepbach, R.A., Hilty, M.P., Roche-Campo, F., Algaba-Calderon, A., Apolo, J., Aslanidis, T., Babik, B., Boroli, F., Brem, J., Brenni, M., Brugger, S.D., Camen, G., Catena, E., Ceriani, R., Chau, I., Christ, A., Cogliati, C., Concha, P., Delahaye, G., Drvaric, I., Escós-Orta, J., Fabbri, S., Facondini, F., Filipovic, M., Gámez-Zapata, J., Gerecke, P., Gommers, D., Hillermann, T., Ince, C., Jenni-Moser, B., Jovic, M., Jurkolow, G., Klarer, A., Lambert, A., Laurent, J.C., Lavanchy, J., Lienhardt-Nobbe, B., Locher, P., Losser, M.R., Lussman, R.F., Magliocca, A., Margarit, A., Martínez, A., Mauri, R., Mayor-Vázquez, E., Meier, J., Moret-Bochatay, M., Murrone, M., Naon, D., Neff, T., Novy, E., Petersen, L., Pugin, J., Ramelet, A.S., Rilinger, J., Rimensberger, P.C., Sepulcri, M., Shaikh, K., Sieber, M., Simonini, M.S., Spadaro, S., Sridharan, G.O., Stahl, K., Staudacher, D.L., Taboada-Fraga, X., Tellez, A., Urech, S., Vitale, G., Vizmanos-Lamotte, G., Welte, T., Zalba-Etayo, B., Zellweger, N., Wendel Garcia, P, Aguirre-Bermeo, H, Buehler, P, Alfaro-Farias, M, Yuen, B, David, S, Tschoellitsch, T, Wengenmayer, T, Korsos, A, Fogagnolo, A, Kleger, G, Wu, M, Colombo, R, Turrini, F, Potalivo, A, Rezoagli, E, Rodriguez-Garcia, R, Castro, P, Lander-Azcona, A, Martin-Delgado, M, Lozano-Gomez, H, Ensner, R, Michot, M, Gehring, N, Schott, P, Siegemund, M, Merki, L, Wiegand, J, Jeitziner, M, Laube, M, Salomon, P, Hillgaertner, F, Dullenkopf, A, Ksouri, H, Cereghetti, S, Grazioli, S, Burkle, C, Marrel, J, Fleisch, I, Perez, M, Baltussen Weber, A, Ceruti, S, Marquardt, K, Hubner, T, Redecker, H, Studhalter, M, Stephan, M, Selz, D, Pietsch, U, Ristic, A, Heise, A, Meyer zu Bentrup, F, Franchitti Laurent, M, Fodor, P, Gaspert, T, Haberthuer, C, Colak, E, Heuberger, D, Fumeaux, T, Montomoli, J, Guerci, P, Schuepbach, R, Hilty, M, Roche-Campo, F, Algaba-Calderon, A, Apolo, J, Aslanidis, T, Babik, B, Boroli, F, Brem, J, Brenni, M, Brugger, S, Camen, G, Catena, E, Ceriani, R, Chau, I, Christ, A, Cogliati, C, Concha, P, Delahaye, G, Drvaric, I, Escos-Orta, J, Fabbri, S, Facondini, F, Filipovic, M, Gamez-Zapata, J, Gerecke, P, Gommers, D, Hillermann, T, Ince, C, Jenni-Moser, B, Jovic, M, Jurkolow, G, Klarer, A, Lambert, A, Laurent, J, Lavanchy, J, Lienhardt-Nobbe, B, Locher, P, Losser, M, Lussman, R, Magliocca, A, Margarit, A, Martinez, A, Mauri, R, Mayor-Vazquez, E, Meier, J, Moret-Bochatay, M, Murrone, M, Naon, D, Neff, T, Novy, E, Petersen, L, Pugin, J, Ramelet, A, Rilinger, J, Rimensberger, P, Sepulcri, M, Shaikh, K, Sieber, M, Simonini, M, Spadaro, S, Sridharan, G, Stahl, K, Staudacher, D, Taboada-Fraga, X, Tellez, A, Urech, S, Vitale, G, Vizmanos-Lamotte, G, Welte, T, Zalba-Etayo, B, Zellweger, N, and Intensive Care
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Male ,ARDS ,Time Factors ,medicine.medical_treatment ,Old age ,Critical Care and Intensive Care Medicine ,law.invention ,0302 clinical medicine ,law ,Oxygen therapy ,Noninvasive mechanical ventilation ,Intubation ,030212 general & internal medicine ,Hospital Mortality ,Prospective Studies ,Registries ,Prospective cohort study ,610 Medicine & health ,Unitats de cures intensives ,Intensive care units ,Medical emergencies. Critical care. Intensive care. First aid ,Middle Aged ,Intensive care unit ,Intensive Care Units ,Treatment Outcome ,Vellesa ,High flow oxygen therapy ,Disease Progression ,Female ,Standard oxygen therapy ,medicine.medical_specialty ,Respiratory Therapy ,Critical Illness ,NO ,03 medical and health sciences ,Intensive care ,medicine ,Humans ,Invasive mechanical ventilation ,Critically ill ,Patient self-inflicted lung injury ,Aged ,Retrospective Studies ,Mechanical ventilation ,COVID-19/mortality ,COVID-19/therapy ,Critical Illness/mortality ,Critical Illness/therapy ,Respiratory Therapy/methods ,Respiratory Therapy/statistics & numerical data ,COVID-19 ,Respiratory support ,business.industry ,RC86-88.9 ,Research ,Retrospective cohort study ,medicine.disease ,Malalts en estat crític ,030228 respiratory system ,Emergency medicine ,business - Abstract
Background Uncertainty about the optimal respiratory support strategies in critically ill COVID-19 patients is widespread. While the risks and benefits of noninvasive techniques versus early invasive mechanical ventilation (IMV) are intensely debated, actual evidence is lacking. We sought to assess the risks and benefits of different respiratory support strategies, employed in intensive care units during the first months of the COVID-19 pandemic on intubation and intensive care unit (ICU) mortality rates. Methods Subanalysis of a prospective, multinational registry of critically ill COVID-19 patients. Patients were subclassified into standard oxygen therapy ≥10 L/min (SOT), high-flow oxygen therapy (HFNC), noninvasive positive-pressure ventilation (NIV), and early IMV, according to the respiratory support strategy employed at the day of admission to ICU. Propensity score matching was performed to ensure comparability between groups. Results Initially, 1421 patients were assessed for possible study inclusion. Of these, 351 patients (85 SOT, 87 HFNC, 87 NIV, and 92 IMV) remained eligible for full analysis after propensity score matching. 55% of patients initially receiving noninvasive respiratory support required IMV. The intubation rate was lower in patients initially ventilated with HFNC and NIV compared to those who received SOT (SOT: 64%, HFNC: 52%, NIV: 49%, p = 0.025). Compared to the other respiratory support strategies, NIV was associated with a higher overall ICU mortality (SOT: 18%, HFNC: 20%, NIV: 37%, IMV: 25%, p = 0.016). Conclusion In this cohort of critically ill patients with COVID-19, a trial of HFNC appeared to be the most balanced initial respiratory support strategy, given the reduced intubation rate and comparable ICU mortality rate. Nonetheless, considering the uncertainty and stress associated with the COVID-19 pandemic, SOT and early IMV represented safe initial respiratory support strategies. The presented findings, in agreement with classic ARDS literature, suggest that NIV should be avoided whenever possible due to the elevated ICU mortality risk.
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- 2021
14. OC-0602 A pREDictive model of polymetastatic disease on oligometastatic colorectal cancer: the RED LaIT-SABR
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Nicosia, L., primary, Franceschini, D., additional, Perrone Congedi, F., additional, Casamassima, F., additional, Gerardi, M.A., additional, Rigo, M., additional, Mazzola, R., additional, Perna, M., additional, Scotti, V., additional, Fodor, A., additional, Iurato, A., additional, Pasqualetti, F., additional, Gadducci, G., additional, Chiesa, S., additional, Niespolo, R.M., additional, Bruni, A., additional, Alicino, G., additional, Frassinelli, L., additional, Borghetti, P., additional, Di Marzo, A., additional, Ravasio, A., additional, De Bari, B., additional, Sepulcri, M., additional, Aiello, D., additional, Mortellaro, G., additional, Sangalli, C., additional, Franceschini, M., additional, Montesi, G., additional, Aquilanti, F.M., additional, Lunardi, G., additional, Valdagni, R., additional, Fazio, I., additional, Corti, L., additional, Vavassori, V., additional, Maranzano, E., additional, Magrini, S.M., additional, Arcangeli, S., additional, Valentini, V., additional, Paiar, F., additional, Ramella, S., additional, Di Muzio, N.G., additional, Livi, L., additional, Jereczek- Fossa, B.A., additional, Osti, M.F., additional, Scorsetti, M., additional, and Alongi, F., additional
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- 2022
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15. PO-1773 Feasibility of a novel harmonization method for NSCLC multi-centric radiomic studies
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Botti, A., primary, Bertolini, M., additional, Trojani, V., additional, Cucurachi, N., additional, Iori, M., additional, Galaverni, M., additional, Iotti, C., additional, Borghetti, P., additional, La Mattina, S., additional, Giaj Levra, N., additional, Sepulcri, M., additional, Iori, F., additional, and Ciammella, P., additional
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- 2022
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16. 119P Evolution of the management of stage III non-small cell lung cancer (NSCLC): A single-center real-world scenario over 10 years
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Ferro, A., primary, Sepulcri, M., additional, Schiavon, M., additional, Scagliori, E., additional, Gennaro, G., additional, Costa, M., additional, Bonanno, L., additional, Frega, S., additional, Dal Maso, A., additional, Calabrese, F., additional, Rea, F., additional, Caumo, F., additional, Guarneri, V., additional, and Pasello, G., additional
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- 2022
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17. 105P A model of workflow for radiomics signature of stage III non-small cell lung cancer (NSCLC) patients (pts)
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Ferro, A., primary, Pasello, G., additional, Scagliori, E., additional, Caumo, F., additional, Costa, M., additional, Frega, S., additional, Sepulcri, M., additional, Bonanno, L., additional, Rea, F., additional, Guarneri, V., additional, and Gennaro, G., additional
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- 2022
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18. Corrigendum: A Real-World, Multicenter, Observational Retrospective Study of Durvalumab After Concomitant or Sequential Chemoradiation for Unresectable Stage III Non-Small Cell Lung Cancer (Front. Oncol., (2021), 11, (744956), 10.3389/fonc.2021.744956)
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Bruni, A., Scotti, V., Borghetti, P., Vagge, S., Cozzi, S., D'Angelo, E., Giaj Levra, N., Fozza, A., Taraborrelli, M., Piperno, G., Vanoni, V., Sepulcri, M., Trovo, M., Nardone, V., Lattanzi, E., Bou Selman, S., Bertolini, F., Franceschini, D., Agustoni, F., Jereczek-Fossa, B. A., Magrini, S. M., Livi, L., Lohr, F., Filippi, A. R., Bruni, A., Scotti, V., Borghetti, P., Vagge, S., Cozzi, S., D'Angelo, E., Giaj Levra, N., Fozza, A., Taraborrelli, M., Piperno, G., Vanoni, V., Sepulcri, M., Trovo, M., Nardone, V., Lattanzi, E., Bou Selman, S., Bertolini, F., Franceschini, D., Agustoni, F., Jereczek-Fossa, B. A., Magrini, S. M., Livi, L., Lohr, F., and Filippi, A. R.
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chemoradiotherapy ,immunotherapy ,NSCLC ,stage III ,unresectable - Abstract
In the original article there was an error. The survival numbers were incorrect. A correction has been made to Abstract: “1-year PFS and OS were 83.5% (95%CI: 77.6-89.7) and 97.2% (95%CI: 94.6-99.9), respectively.” “1-year PFS and OS were 65.5% (95%CI: 57.6-74.4) and 87.9% (95%CI: 82.26.6-93.9), respectively” In the original article, there was an error. The survival numbers were incorrect. A correction has been made to Results, Survival: “PFS at 12, 18, and 24 months was 83.5% (95%CI: 77.6– 89.7), 65.5 (95%CI: 57.6–74.4), and 53.1% (95%CI: 43.8–64.3), respectively. (Figure 1). OS at 12, 18, and 24 months was 97.2% (95%CI: 94.6– 99.9), 87.9% (95%CI: 82.26–93.9), and 79.3% (95%CI: 71.1–88.4), respectively (Figure 1).” “PFS at 6, 12, and 18 months was 83.5% (95%CI: 77.6– 89.7), 65.5% (95%CI: 57.6–74.4), and 53.1% (95%CI: 43.8– 64.3), respectively. (Figure 1). OS at 6, 12, and 18 months was 97.2% (95%CI: 94.6– 99.9), 87.9% (95%CI: 82.26–93.9), and 79.3% (95%CI: 71.1–88.4), respectively (Figure 1)” In the original article, there was an error. The survival numbers were incorrect. A correction has been made to Discussion: “12-month PFS was 83.5%, and OS 97.2%” “12-month PFS was 65.5%, and OS 87.9%” The authors apologize for these errors and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.
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- 2021
19. A multicenter LArge retrospectIve daTabase on the personalization of stereotactic ABlative radiotherapy use in lung metastases from colon-rectal cancer: The LaIT-SABR study
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Nicosia, L., primary, Franceschini, D., additional, Perrone-Congedi, F., additional, Casamassima, F., additional, Gerardi, M.A., additional, Rigo, M., additional, Mazzola, R., additional, Perna, M., additional, Scotti, V., additional, Fodor, A., additional, Iurato, A., additional, Pasqualetti, F., additional, Gadducci, G., additional, Chiesa, S., additional, Niespolo, R.M., additional, Bruni, A., additional, Alicino, G., additional, Frassinelli, L., additional, Borghetti, P., additional, Di Marzo, A., additional, Ravasio, A., additional, De Bari, B., additional, Sepulcri, M., additional, Aiello, D., additional, Mortellaro, G., additional, Sangalli, C., additional, Franceschini, M., additional, Montesi, G., additional, Aquilanti, F.M., additional, Lunardi, G., additional, Valdagni, R., additional, Fazio, I., additional, Scarzello, Giovanni, additional, Corti, L., additional, Vavassori, V., additional, Maranzano, E., additional, Magrini, S.M., additional, Arcangeli, S., additional, Gambacorta, Maria Antonietta, additional, Valentini, V., additional, Paiar, F., additional, Ramella, S., additional, Di Muzio, N.G., additional, Livi, L., additional, Jereczek-Fossa, B.A., additional, Osti, M.F., additional, Scorsetti, M., additional, and Alongi, F., additional
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- 2022
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20. A Multicenter Large Retrospective Database on the Personalization of Stereotactic Ablative Radiotherapy for Lung Metastases From Colon-Rectal Cancer: The LaIT-SABR Study
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Nicosia, L., primary, Franceschini, D., additional, Perrone, F., additional, Casamassima, F., additional, Gerardi, M.A., additional, Perna, M., additional, Scotti, V., additional, Fodor, A., additional, Mazzola, R., additional, Rigo, M., additional, Iurato, A., additional, Pasqualetti, F., additional, Chiesa, S., additional, Niespolo, R.M., additional, Bruni, A., additional, Frassinelli, L., additional, Borghetti, P., additional, Marzo, A. Di, additional, Ravasio, A., additional, De Bari, B., additional, Sepulcri, M., additional, Aiello, D., additional, Mortellaro, G., additional, Sangalli, C., additional, Franceschini, M., additional, Montesi, G., additional, Aquilanti, F.M., additional, Valdagni, R., additional, Fazio, I., additional, Corti, L., additional, Vavassori, L., additional, Maranzano, E., additional, Magrini, S., additional, Lohr, F., additional, Arcangeli, S., additional, Valentini, V., additional, Paiar, F., additional, Ramella, S., additional, Di Muzio, N.G., additional, Livi, L., additional, Jereczek-Fossa, B.A., additional, Osti, M.F., additional, Scorsetti, M., additional, and Alongi, F., additional
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- 2021
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21. Estimated direct costs of renal cancer by stage and care phase: a whole disease modeljuj
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Buja, A, primary, De Luca, G, additional, Gatti, M, additional, Bonaldi, F, additional, Gardi, M, additional, Bortolami, A, additional, Sepulcri, M, additional, Baldo, V, additional, Scioni, M, additional, and Basso, U, additional
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- 2021
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22. PH-0112 Multicenter large retrospectIve database on SBRT for colorectal lung metastases: the LaIT-SABR study
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Nicosia, L., primary, Franceschini, D., additional, Perrone Congedi, F., additional, Casamassima, F., additional, Gerardi, M.A., additional, Perna, M., additional, Scotti, V., additional, Fodor, A., additional, Mazzola, R., additional, Rigo, M., additional, Iurato, A., additional, Pasqualetti, F., additional, Gadducci, G., additional, Chiesa, S., additional, Niespolo, R.M., additional, Bruni, A., additional, Frassinelli, L., additional, Borghetti, P., additional, Di Marzo, A., additional, Ravasio, A., additional, De Bari, B., additional, Sepulcri, M., additional, Aiello, D., additional, Mortellaro, G., additional, Sangalli, C., additional, Franceschini, M., additional, Montesi, G., additional, Aquilanti, F.M., additional, Valdagni, R., additional, Fazio, I., additional, Corti, L., additional, Vavassori, L., additional, Maranzano, E., additional, Magrini, S.M., additional, Lohr, F., additional, Arcangeli, S., additional, Valentini, V., additional, Paiar, F., additional, Ramella, S., additional, Di Muzio, N.G., additional, Livi, L., additional, Jereczek-Fossa, B.A., additional, Osti, M.F., additional, Scorsetti, M., additional, and Alongi, F., additional
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- 2021
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23. PH-0380 Longitudinal evaluation of Knowledge-based planning for prostate treatments
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Scaggion, A., primary, Fusella, M., additional, Dusi, F., additional, El Khouzai, B., additional, Germani, A., additional, Pivato, N., additional, Roggio, A., additional, Rossato, M.A., additional, Sepulcri, M., additional, and Zandonà, R., additional
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- 2021
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24. PO-1903 Building and comparing treatment quality assessment algorithms among two different clinics
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Scaggion, A., primary, Bresciani, S., additional, Fusella, M., additional, Galla, A., additional, Rossato, M.A., additional, Sepulcri, M., additional, Paiusco, M., additional, and El Khouzai, B., additional
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- 2021
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25. PO-1500 Stereotactic Body Radiation Therapy for oligorecurrent thymoma: a monocentric experience
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Sepulcri, M., primary, Paronetto, C., additional, Santoro, V., additional, Gorza, A., additional, Gessoni, F., additional, Scaggion, A., additional, Fusella, M., additional, and Muraro, M., additional
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- 2021
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26. PO-1194 A predictive model for OS in patients treated with Stereotactic Radiotherapy for early-stage NSCLC
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Borghetti, P., primary, Costantino, G., additional, Santoro, V., additional, Sepulcri, M., additional, Maddalo, M., additional, Greco, D., additional, Frassine, F., additional, Vitali, P., additional, Pastorello, E., additional, La Mattina, S., additional, Volpi, G., additional, Imbrescia, J., additional, and Magrini, S.M., additional
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- 2021
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27. EAU BCR risk classification as decision tool for salvage radiotherapy? A multicenter study
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Preisser, F., primary, Abrams-Pompe, R.S., additional, Stelwagen, P.J., additional, Böhmer, D., additional, Zattoni, F., additional, Magli, A., additional, Gómez Rivas, J., additional, Vives Dilme, R., additional, Sepulcri, M., additional, Eguibar, A., additional, Heidegger, I., additional, Arnold, C., additional, Fankhauser, C.D., additional, Chun, F.K.H., additional, Van Der Poel, H., additional, Gandaglia, G., additional, Wiegel, T., additional, Van Den Bergh, R.C.N., additional, and Tilki, D., additional
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- 2021
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28. P094 - Local primary tumor and metastasis treatment in patients with newly diagnosed oligometastatic prostate cancer: a prospective multicenter registry (OLIGOS)
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Porreca, A., Lista, G., Di Gianfrancesco, L., Sepulcri, M., Corsi, P., Miglioranza, E., Amodeo, A., De Marchi, D., Vitelli, F.D., and Krengli, M.
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- 2023
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29. P032 - Stereotactic prostate radiotherapy with or without androgen deprivation therapy: A phase III, multi-institutional randomized-controlled trial. The SPA trial
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Triggiani, L., Morelli, V., Tomasini, D., Francesco, F., Georgopulos, A., Mataj, E., Domina, A.O., Granello, L., Francolini, G., Albano, D., Magli, A., Arcangeli, S., Bruni, A., Ciccarelli, S., Ghirardelli, S., Guerini, A.E., Grazioli, L., Lancia, A., La Mattina, S., Buglione di Monale e Bastia, M., Marvaso, G., Sepulcri, M., Franzese, C., Barbera, F., and Bonù, M.L.F.
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- 2023
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30. 2003P Consolidative intrathoracic radiotherapy during maintenance first-line immunotherapy in extensive stage small cell lung cancer (ES-SCLC): A retrospective multicenter analysis of safety and efficacy
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Bruni, A., Bertolini, F., Borghetti, P., Scotti, V., Sepulcri, M., Pasello, G., Giaj-Levra, N., Grisanti, S., Katica, M., Cappelli, A., Garlatti, P., Guaitoli, G., Dominici, M., and Lohr, F.
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- 2023
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31. Effectiveness of CBCT imaging during radiotherapy for the detection of initial COVID-19 lung disease
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Sepulcri, M., Paronetto, C., El Khouzai, B., Novo, A., Aldegheri, V., Scaggion, A., and Fusella, M.
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Article - Abstract
In this unique historic period afflicted by the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) pandemic, radiation therapy treatments cannot be delayed or suspended. We report the case of a 73-year-old woman with recently diagnosed extensive-stage small cell lung cancer with metastatic liver and bone lesions. A SARS-CoV-2 test was performed upon hospital admission and was negative. After 5 days she underwent radiation therapy on T6 and T11 with single fractions of 8 Gy each. Before treatment a cone beam computed tomography (CBCT) scan was performed to check the setup of the patient. Some suspected lung areas of ground glass opacities (GGOs) were clearly visible in the CBCT without any counterpart in the previous computed tomography (CT) simulation scan 3 days before. A new high-quality chest CT scan confirmed the previously suspected GGOs. The exam revealed multiple bilateral areas of subpleural GGOs, which are the primary findings on CT scan in the early phases of coronavirus disease 2019 (COVID-19) lung infection, in addition to pleural effusions, a finding that may occur as a complication of COVID-19. The patient then urgently repeated the SARS-CoV-2 test, which was positive and confirmed the infection. In conclusion, daily CBCT can be effective for early detection of COVID-19 lung disease in asymptomatic or mildly symptomatic patients.
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- 2020
32. PO-1434: Thorough assessment of a new commercial tool to reduce plan complexity
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Scaggion, A., primary, Fusella, M., additional, Bettinelli, A., additional, Busato, F., additional, Pivato, N., additional, Roggio, A., additional, Rossato, M.A., additional, Sepulcri, M., additional, Zandonà, R., additional, and Paiusco, M., additional
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- 2020
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33. Prognostic value of FCH PET/CT in response to radical radiotherapy for localized prostate cancer
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Sepulcri, M, Evangelista, L, Fusella, M, Galuppo, S, Corti, L, Saladini, G, and Paiusco, M
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- 2017
34. EP-1700: Prognostic value of FCH PET/CT in response to radical radiotherapy for localized prostate cancer
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Sepulcri, M., primary, Evangelista, L., additional, Fusella, M., additional, Galuppo, S., additional, Corti, L., additional, Saladini, G., additional, and Paiusco, M., additional
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- 2017
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35. A multicenter LArge retrospectIve daTabase on the personalization of stereotactic ABlative radiotherapy use in lung metastases from colon-rectal cancer: The LaIT-SABR study
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L. Nicosia, D. Franceschini, F. Perrone-Congedi, F. Casamassima, M.A. Gerardi, M. Rigo, R. Mazzola, M. Perna, V. Scotti, A. Fodor, A. Iurato, F. Pasqualetti, G. Gadducci, S. Chiesa, R.M. Niespolo, A. Bruni, G. Alicino, L. Frassinelli, P. Borghetti, A. Di Marzo, A. Ravasio, B. De Bari, M. Sepulcri, D. Aiello, G. Mortellaro, C. Sangalli, M. Franceschini, G. Montesi, F.M. Aquilanti, G. Lunardi, R. Valdagni, I. Fazio, Giovanni Scarzello, L. Corti, V. Vavassori, E. Maranzano, S.M. Magrini, S. Arcangeli, Maria Antonietta Gambacorta, V. Valentini, F. Paiar, S. Ramella, N.G. Di Muzio, L. Livi, B.A. Jereczek-Fossa, M.F. Osti, M. Scorsetti, F. Alongi, Nicosia, L, Franceschini, D, Perrone-Congedi, F, Casamassima, F, Gerardi, M, Rigo, M, Mazzola, R, Perna, M, Scotti, V, Fodor, A, Iurato, A, Pasqualetti, F, Gadducci, G, Chiesa, S, Niespolo, R, Bruni, A, Alicino, G, Frassinelli, L, Borghetti, P, Di Marzo, A, Ravasio, A, De Bari, B, Sepulcri, M, Aiello, D, Mortellaro, G, Sangalli, C, Franceschini, M, Montesi, G, Aquilanti, F, Lunardi, G, Valdagni, R, Fazio, I, Scarzello, G, Corti, L, Vavassori, V, Maranzano, E, Magrini, S, Arcangeli, S, Gambacorta, M, Valentini, V, Paiar, F, Ramella, S, Di Muzio, N, Livi, L, Jereczek-Fossa, B, Osti, M, Scorsetti, M, and Alongi, F
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medicine.medical_specialty ,Multivariate analysis ,Colorectal cancer ,medicine.medical_treatment ,SABR volatility model ,Oligometastatic disease ,Predictive factors ,SABR ,SBRT ,Stereotactic ablative radiotherapy ,Retrospective database ,Ablative case ,medicine ,Radiology, Nuclear Medicine and imaging ,Lung ,business.industry ,Hematology ,medicine.disease ,Radiation therapy ,medicine.anatomical_structure ,Oncology ,Radiology ,Predictive factor ,business - Abstract
Introduction: Stereotactic ablative radiotherapy (SABR) has been shown to increase survival in oligometastatic disease, but local control of colorectal metastases remains poor. We aimed to identify potential predictive factors of SBRT response through a multicenter large retrospective database and to investigate the progression to the polymetastatic disease (PMD). Material and methods: The study involved 23 centers, and was approved by the Ethical Committee (Prot. Negrar 2019-ZT). 1033 lung metastases were reported. Clinical and biological parameters were evaluated as predictive for freedom from local progression-free survival (FLP). Secondary end-point was the time to the polymetastatic conversion (tPMC). Results: Two-year FLP was 75.4%. Two-year FLP for lesions treated with a BED < 00 Gy, 100–124 Gy, and ≥125 Gy was 76.1%, 70.6%, and 94% (p = 0.000). Two-year FLP for lesion measuring ≤10 mm, 10–20 mm, and >20 mm was 79.7%, 77.1%, and 66.6% (p = 0.027). At the multivariate analysis a BED ≥125 Gy significantly reduced the risk of local progression (HR 0.24, 95%CI 0.11–0.51; p = 0.000). Median tPMC was 26.8 months. Lesions treated with BED ≥125 Gy reported a significantly longer tPMC as compared to lower BED. The median tPMC for patients treated to 1, 2–3 or 4–5 simultaneous oligometastases was 28.5, 25.4, and 9.8 months (p = 0.035). Conclusion: The present is the largest series of lung colorectal metastases treated with SABR. The results support the use of SBRT in lung oligometastatic colorectal cancer patients as it might delay the transition to PMD or offer relatively long disease-free period in selected cases. Predictive factors were identified for treatment personalization.
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- 2022
36. Machine learning using the Extreme Gradient Boosting (XGBoost) algorithm predicts 5-day delta of SOFA score at ICU admission in COVID-19 patients
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Marie M. Jeitziner, Iris Drvaric, Jan Wiegand, Abele Donati, Janina Apolo, Emanuele Rezoagli, Jesús Escós-Orta, Herminia Lozano-Gómez, Mirko Brenni, Giovanni Camen, Frank Hillgaertner, Sara Moccia, Antje Heise, Alexander Dullenkopf, Michael Stephan, Can Ince, Marcus Laube, Julien Marrel, Michele Bernardini, Barbara Lienhardt-Nobbe, Hernán Aguirre-Bermeo, Alberto Fogagnolo, Dorothea M. Heuberger, Severin Urech, Reto A. Schuepbach, Andrea Glotta, Samuele Ceruti, Isabelle Fleisch, Marc P. Michot, Alice Nova, Matthias P. Hilty, Tomislav Gaspert, Gianfilippo Gangitano, Savino Spadaro, Ivan Chau, Daniele Berardini, Tiziana Perin, Andrea Westphalen, Marie-Reine Losser, Hatem Ksouri, Marie-Hélène Perez, Theodoros Aslanidis, Christoph Haberthuer, Gerardo Vizmanos-Lamotte, Jorge Gámez-Zapata, Filippo Boroli, Adriana Lambert, Serge Grazioli, Petra Salomon, Christian Bürkle, Didier Naon, Philipp Bühler, Dawid L. Staudacher, Miodrag Filipovic, Hermann Redecker, Mario Alfaro-Farias, Massimo Antonelli, Rolf Ensner, Jerome Lavanchy, Lukas Merki, Roberto Ceriani, Anette Ristic, Chiara Cogliati, Reto Andreas Schüpbach, Daniela Selz, Begoña Zalba-Etayo, Anne-Sylvie Ramelet, Thierry Fumeaux, Andrea Carsetti, Peter Gerecke, Riccardo Colombo, Marilene Franchitti Laurent, Fabrizio Turrini, Tobias Wengenmayer, Tobias Welte, Philippe Guerci, Antonella Potalivo, Lucia Migliorelli, Barna Babik, Reza Nikandish, Pedro D. Wendel Garcia, Alberto Martínez, Maria Sole Simonini, Diederik Gommers, Xiana Taboada-Fraga, Jerome Pugin, Peter C. Rimensberger, Angela Algaba-Calderon, FriederikeMeyer zu Bentrup, Agios Pavlos, Thomas Tschoellitsch, Marianne Sieber, Karim Shaikh, Nuria Zellweger, Silvio Brugger, Geoffrey Jurkolow, Anja Baltussen Weber, Maria C. Martín-Delgado, Anita Korsós, Gian-Reto Kleger, Alexander Klarer, Emmanuel Novy, Diego Franch-Llasat, Adrian Tellez, Peter Schott, Jonathan Rilinger, Andreas Christ, Bernd Yuen, Jean-Christophe Laurent, Nadine Gehring, Pedro Castro, Sascha David, Francesca Facondini, Arantxa Lander-Azcona, Maria Grazia Bocci, Maddalena Alessandra Wu, Mallory Moret-Bochatay, Sara Cereghetti, Urs Pietsch, Martina Murrone, Gauthier Delahaye, Luca Romeo, Pascal Locher, Pedro David Wendel Garcia, Michael Sepulcri, Marija Jovic, Katharina Marquardt, Emanuele Frontoni, Patricia Fodor, Emanuele Catena, Tobias Hübner, Thomas Neff, Roger F. Lussman, Matteo Giacomini, Govind Oliver Sridharan, Beatrice Jenni-Moser, Jan Brem, Michael Studhalter, Elif Colak, Raquel Rodríguez-García, Silvia Fabbri, Jens Meier, Lina Petersen, Jonathan Montomoli, Ferran Roche-Campo, Klaus Stahl, Montomoli, J, Romeo, L, Moccia, S, Bernardini, M, Migliorelli, L, Berardini, D, Donati, A, Carsetti, A, Bocci, M, Wendel Garcia, P, Fumeaux, T, Guerci, P, Schupbach, R, Ince, C, Frontoni, E, Hilty, M, Alfaro-Farias, M, Vizmanos-Lamotte, G, Tschoellitsch, T, Meier, J, Aguirre-Bermeo, H, Apolo, J, Martinez, A, Jurkolow, G, Delahaye, G, Novy, E, Losser, M, Wengenmayer, T, Rilinger, J, Staudacher, D, David, S, Welte, T, Stahl, K, Pavlos, A, Aslanidis, T, Korsos, A, Babik, B, Nikandish, R, Rezoagli, E, Giacomini, M, Nova, A, Fogagnolo, A, Spadaro, S, Ceriani, R, Murrone, M, Wu, M, Cogliati, C, Colombo, R, Catena, E, Turrini, F, Simonini, M, Fabbri, S, Potalivo, A, Facondini, F, Gangitano, G, Perin, T, Grazia Bocci, M, Antonelli, M, Gommers, D, Rodriguez-Garcia, R, Gamez-Zapata, J, Taboada-Fraga, X, Castro, P, Tellez, A, Lander-Azcona, A, Escos-Orta, J, Martin-Delgado, M, Algaba-Calderon, A, Franch-Llasat, D, Roche-Campo, F, Lozano-Gomez, H, Zalba-Etayo, B, Michot, M, Klarer, A, Ensner, R, Schott, P, Urech, S, Zellweger, N, Merki, L, Lambert, A, Laube, M, Jeitziner, M, Jenni-Moser, B, Wiegand, J, Yuen, B, Lienhardt-Nobbe, B, Westphalen, A, Salomon, P, Drvaric, I, Hillgaertner, F, Sieber, M, Dullenkopf, A, Petersen, L, Chau, I, Ksouri, H, Sridharan, G, Cereghetti, S, Boroli, F, Pugin, J, Grazioli, S, Rimensberger, P, Burkle, C, Marrel, J, Brenni, M, Fleisch, I, Lavanchy, J, Perez, M, Ramelet, A, Weber, A, Gerecke, P, Christ, A, Ceruti, S, Glotta, A, Marquardt, K, Shaikh, K, Hubner, T, Neff, T, Redecker, H, Moret-Bochatay, M, Bentrup, F, Studhalter, M, Stephan, M, Brem, J, Gehring, N, Selz, D, Naon, D, Kleger, G, Pietsch, U, Filipovic, M, Ristic, A, Sepulcri, M, Heise, A, Franchitti Laurent, M, Laurent, J, Schuepbach, R, Heuberger, D, Buhler, P, Brugger, S, Fodor, P, Locher, P, Camen, G, Gaspert, T, Jovic, M, Haberthuer, C, Lussman, R, Colak, E, Biomedical Engineering and Physics, ACS - Microcirculation, Translational Physiology, ACS - Atherosclerosis & ischemic syndromes, Graduate School, AII - Infectious diseases, and University of Zurich
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610 Medicine & health ,Organ dysfunction score ,Machine learning ,computer.software_genre ,Logistic regression ,Clinical decision support system ,law.invention ,law ,Medicine ,Clinical decision support system (CDSS) ,Receiver operating characteristic ,RC86-88.9 ,business.industry ,Clinical decision support systems ,COVID-19 ,Medical emergencies. Critical care. Intensive care. First aid ,Extreme Gradient Boosting (XGBoost) ,Intensive care unit ,Multiple organ failure ,Cohort ,Population study ,SOFA score ,Original Article ,Artificial intelligence ,10023 Institute of Intensive Care Medicine ,business ,Algorithm ,computer ,Predictive modelling - Abstract
Background : Accurate risk stratification of critically ill patients with coronavirus disease 2019 (COVID-19) is essential for optimizing resource allocation, delivering targeted interventions, and maximizing patient survival probability. Machine learning (ML) techniques are attracting increased interest for the development of prediction models as they excel in the analysis of complex signals in data-rich environments such as critical care. Methods : We retrieved data on patients with COVID-19 admitted to an intensive care unit (ICU) between March and October 2020 from the RIsk Stratification in COVID-19 patients in the Intensive Care Unit (RISC-19-ICU) registry. We applied the Extreme Gradient Boosting (XGBoost) algorithm to the data to predict as a binary outcome the increase or decrease in patients’ Sequential Organ Failure Assessment (SOFA) score on day 5 after ICU admission. The model was iteratively cross-validated in different subsets of the study cohort. Results : The final study population consisted of 675 patients. The XGBoost model correctly predicted a decrease in SOFA score in 320/385 (83%) critically ill COVID-19 patients, and an increase in the score in 210/290 (72%) patients. The area under the mean receiver operating characteristic curve for XGBoost was significantly higher than that for the logistic regression model {0.86 vs. 0.69, P
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- 2021
37. A Multicenter Large Retrospective Database on the Personalization of Stereotactic Ablative Radiotherapy for Lung Metastases From Colon-Rectal Cancer: The LaIT-SABR Study
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Davide Franceschini, Stefano Maria Magrini, Sara Ramella, Vieri Scotti, F. Casamassima, L. Frassinelli, Frank Lohr, Luigi Corti, N. Di Muzio, Claudia Sangalli, I. Fazio, F. Perrone, M. Perna, Stefano Arcangeli, R.M. Niespolo, D. Aiello, Lorenzo Livi, Francesco Pasqualetti, Marta Scorsetti, M. Franceschini, G. Mortellaro, M.F. Osti, B. De Bari, A. Ravasio, Riccardo Valdagni, M. Sepulcri, Silvia Chiesa, Ernesto Maranzano, V. Valentini, A. Di Marzo, F.M. Aquilanti, Fabiola Paiar, Alessio Bruni, Andrei Fodor, Paolo Borghetti, A. Iurato, Filippo Alongi, Michele Rigo, Marianna Alessandra Gerardi, Giampaolo Montesi, Luca Nicosia, L. Vavassori, Rosario Mazzola, Barbara Alicja Jereczek-Fossa, Nicosia, L, Franceschini, D, Perrone, F, Casamassima, F, Gerardi, M, Perna, M, Scotti, V, Fodor, A, Mazzola, R, Rigo, M, Iurato, A, Pasqualetti, F, Chiesa, S, Niespolo, R, Bruni, A, Frassinelli, L, Borghetti, P, Marzo, A, Ravasio, A, De Bari, B, Sepulcri, M, Aiello, D, Mortellaro, G, Sangalli, C, Franceschini, M, Montesi, G, Aquilanti, F, Valdagni, R, Fazio, I, Corti, L, Vavassori, L, Maranzano, E, Magrini, S, Lohr, F, Arcangeli, S, Valentini, V, Paiar, F, Ramella, S, Di Muzio, N, Livi, L, Jereczek-Fossa, B, Osti, M, Scorsetti, M, and Alongi, F
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Cancer Research ,Univariate analysis ,medicine.medical_specialty ,Radiation ,Predictive marker ,Colorectal cancer ,business.industry ,medicine.medical_treatment ,medicine.disease_cause ,medicine.disease ,SABR volatility model ,Primary tumor ,Radiation therapy ,Lesion ,colorectal metastase ,Oncology ,medicine ,Radiology, Nuclear Medicine and imaging ,KRAS ,Radiology ,oligometastase ,medicine.symptom ,business ,SABR - Abstract
PURPOSE/OBJECTIVE(S): stereotactic ablative radiotherapy (SABR) has been shown to increase survival rates in oligometastatic disease (OMD), but local control of colorectal metastases still remains poor. We aimed to identify potential predictive factors of SBRT response through a multicenter large retrospective database and to investigate how lung SBRT can impact on the progression to the polymetastatic disease (PMD). MATERIALS/METHODS: the study involved 22 centers, and was approved by the Ethical Committee (Prot. Negrar 2019-ZT). 1023 lung metastases treated with SBRT in 622 patients were reported. The median BED was 105 Gy10. Lesion diameter GTV, PTV volume, dose, fractionations, and site of primary tumor were evaluated as potential predictive marker for SBRT response for the primary end-point local progression-free survival (LPFS). EGFR, KRAS, NRAS, BRAF, and MSI were also evaluated. Secondary end-point was the time to the polymetastatic conversion (ttPMC). RESULTS: the median follow-up was 26 months (range 3-117 months). The median lesion diameter was 13 mm (range 4-58 mm). The 2- and 3-year LPFS were 75.6% and 71%, respectively. At the univariate analysis, BED ≥125Gy10 was associated with improved LPFS (2-year: 94.1% versus 72.6%; P = < 0.0001), single fraction SBRT correlated with better LPFS in the overall population (2-year: 80.6% versus 73.7%; P = 0.03), but no significant difference was observed when considering the population treated with BED > 100 Gy10. Lesion diameter ≤19 mm correlated with improved LPFS (2-year 80% versus 60%; P = < 0.0001). The median ttPMC was 26 months, and the 2-year ttPMC was 54.5%. The median PFS was 11.3 months. After SABR, 36% patients had polymetastatic relapse, 39.5% patients had an oligometastatic relapse, and 24.5% patients had no further relapse. CONCLUSION: the present is the largest series of lung colorectal metastases treated with SABR. The results support the use of SBRT in lung oligometastatic colorectal cancer patients as it might delay the transition to PMD or offer relatively long disease-free period in selected cases. Several biological and clinical predictive factors were identified to assure the highest local control, on the basis of which a decisional algorithm will be derived.
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- 2021
38. A Real-World, Multicenter, Observational Retrospective Study of Durvalumab After Concomitant or Sequential Chemoradiation for Unresectable Stage III Non-Small Cell Lung Cancer
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Francesco Agustoni, Elisa D'Angelo, Maria Taraborrelli, Salvatore Cozzi, Paolo Borghetti, Barbara Alicja Jereczek-Fossa, Alessio Bruni, Lorenzo Livi, Vieri Scotti, Matteo Sepulcri, Frank Lohr, Said Bou Selman, Federica Bertolini, Elisabetta Lattanzi, Stefano Vagge, Gaia Piperno, Stefano Maria Magrini, Andrea Riccardo Filippi, V. Vanoni, Alessandra Fozza, Davide Franceschini, Marco Trovo, Niccolò Giaj Levra, Valerio Nardone, Bruni, A., Scotti, V., Borghetti, P., Vagge, S., Cozzi, S., D'Angelo, E., Giaj Levra, N., Fozza, A., Taraborrelli, M., Piperno, G., Vanoni, V., Sepulcri, M., Trovo, M., Nardone, V., Lattanzi, E., Bou Selman, S., Bertolini, F., Franceschini, D., Agustoni, F., Jereczek-Fossa, B. A., Magrini, S. M., Livi, L., Lohr, F., and Filippi, A. R.
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Oncology ,Cancer Research ,medicine.medical_specialty ,Durvalumab ,medicine.medical_treatment ,stage III ,unresectable ,NSCLC ,chemoradiotherapy ,immunotherapy ,Maintenance therapy ,Internal medicine ,medicine ,Stage (cooking) ,RC254-282 ,Original Research ,business.industry ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,Correction ,Retrospective cohort study ,Discontinuation ,Radiation therapy ,Concomitant ,business ,Chemoradiotherapy - Abstract
IntroductionFor unresectable stage III non-small cell lung cancer (NSCLC), the standard therapy consists of chemoradiotherapy (CRT) followed by durvalumab maintenance for responding patients. The present study reports on the safety and outcome of durvalumab use after CRT in a real-world, multicenter, retrospective cohort.MethodsTwo hundred thirty-eight patients have been included. We collected data on systemic therapy, radiation therapy, the timing between CRT and durvalumab, number of durvalumab cycles, reasons for non-starting or discontinuation, incidence and grade of adverse events (AEs), and progression-free survival (PFS) and overall survival (OS).ResultsOne hundred fifty-five patients out of 238 (65.1%) received at least one durvalumab dose: 91 (58.7%) after concomitant CRT (cCRT) and 64 (41.3%) after sequential CRT (sCRT). Programmed-death ligand 1 (PD-L1) status was unknown in 7/155 (4.5%), negative in 14 (9.1%), and positive ≥1% in 134/155 (86.4%). The main reasons for non-starting durvalumab were progression (10.1%), PD-L1 negativity (7.5%), and lung toxicity (4.6%). Median follow-up time was 14 months (range 2–29); 1-year PFS and OS were 65.5% (95%CI: 57.6-74.4) and 87.9% (95%CI: 82.26.6-93.9), respectively. No significant differences in PFS or OS were detected for cCRT vs. sCRT, but the median PFS was 13.5 months for sCRT vs. 23 months for cCRT. Potentially immune-related AEs were recorded in 76/155 patients (49.0%). Pneumonitis was the most frequent, leading to discontinuation in 11/155 patients (7.1%).ConclusionsDurvalumab maintenenace after concurrent or sequential chemoradiation for unresectable, stage III NSCLC showed very promising short-term survival results in a large, multicenter, restrospective, real-world study. Durvalumab was the first drug obtaining a survival benefit over CRT within the past two decades, and the present study contributes to validating its use in clinical practice.
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- 2021
39. Adjuvant modern radiotherapy in resected pN2 NSCLC patients: results from a multicentre retrospective analysis on acute and late toxicity on behalf of AIRO thoracic oncology study group: the RAC-TAC study.
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Nardone V, Bruni A, Franceschini D, Marini B, Vagge S, Ciammella P, Sepulcri M, Cappelli A, D'Angelo E, De Marco G, Angrisani A, Manetta M, Scricciolo M, Guida C, Aiello D, Borghetti P, and Cappabianca S
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- Humans, Male, Female, Retrospective Studies, Aged, Radiotherapy, Adjuvant, Middle Aged, Italy epidemiology, Aged, 80 and over, Neoplasm Staging, Carcinoma, Non-Small-Cell Lung radiotherapy, Carcinoma, Non-Small-Cell Lung surgery, Carcinoma, Non-Small-Cell Lung pathology, Lung Neoplasms radiotherapy, Lung Neoplasms pathology, Lung Neoplasms surgery
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Background: Recently, the PORT-C and LUNG-ART trials, which evaluated the role of postoperative radiation therapy (PORT), have significantly altered the treatment landscape for NSCLC pN2 patients who previously underwent surgery. In response, the Italian Association of Radiotherapy and Oncology Thoracic Oncology study group has initiated an observational multicenter trial to assess both acute and late toxicities of PORT in pN2 NSCLC patients treated with modern techniques., Methods: Data on NSCLC patients submitted to PORT after radical surgery treated between 2015 and 2020 in six Italian Centers were collected. Heart, lung, and esophageal acute and late toxicities have been retrospectively analyzed and related to radiation therapy dosimetric parameters. Furthermore, loco-regional control, distant metastasis and overall survival have been analyzed., Results: A total of 212 patients with a median age of 68 years from six different centers were included in this analysis (142 males and 70 females). Prior to undergoing PORT, 96 patients (45.8%) had a history of heart disease, 110 patients (51.9%) had hypertension, and 51 patients (24%) had COPD. Acute toxicity was observed in 147 patients (69.3%), with lung toxicity occurring in 93 patients (G1 in 70 patients, G2 in 17 patients, and G3 in 4 patients), esophageal toxicity in 114 patients (G1 in 89 patients, G2 in 23 patients, and G3 in 1 patient), and cardiac toxicity in 4 patients (G1 in 2 patients and G3 in 2 patients). Late side effects were found in 60 patients (28.3%), predominantly involving the lungs (51 patients: 32 G1, 11 G2, and 1 G3) and the esophagus (11 patients: 8 G1 and 3 G2), with no reported late cardiac side effects. Various clinical and dosimetric parameters were found to correlate with both acute and chronic toxicities. Over a median follow-up period of 54 months, 48 patients (22.6%) showed locoregional disease relapse, 106 patients (50%) developed distant metastases, and 66 patients (31.1%) died., Conclusions: RAC-TAC retrospective multicentric study showed the low toxicity of PORT when advanced technology is used. At the same time, it's noteworthy to underline that 50% of the patients develop distant recurrences in the follow up., Competing Interests: Declarations Conflict of interest All the authors have no other relevant financial or non-financial interests to disclose. Ethical approval This study was performed in line with the principles of the Declaration of Helsinki. Approval was granted by the Ethics Committee of University Hospital Vanvitelli, Naples, under Protocol Number 0026796/I dated September 21, 2021 and then from all the other participating centers. Consent to participate Informed consent was obtained from all individual participants included in the study. Consent to publish Not applicable., (© 2024. The Author(s).)
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- 2024
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40. Improved Event-Free Survival After Complete or Major Pathologic Response in Patients With Resectable NSCLC Treated With Neoadjuvant Chemoimmunotherapy Regardless of Adjuvant Treatment: A Systematic Review and Individual Patient Data Meta-Analysis.
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Marinelli D, Nuccio A, Di Federico A, Ambrosi F, Bertoglio P, Faccioli E, Ferrara R, Ferro A, Giusti R, Guerrera F, Mammana M, Pittaro A, Sepulcri M, Viscardi G, and Gallina FT
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Introduction: Neoadjuvant chemoimmunotherapy has reshaped the treatment landscape for resectable NSCLC, yet the prognostic significance of pathologic response remains unclear. We conducted a systematic review and individual patient data (IPD) meta-analysis to evaluate the impact of achieving pathologic complete response (pCR) or major pathologic response (MPR) on event-free survival (EFS) and assessed the influence of adjuvant immunotherapy., Methods: We performed an IPD meta-analysis of prospective clinical trials on neoadjuvant or perioperative anti-programmed death-ligand 1 in combination with platinum-based chemotherapy in patients with resectable NSCLC. The IPD was extracted from Kaplan-Meier curves for pCR and MPR from the included studies. Survival outcomes were compared between patients achieving pCR or MPR and those who did not, considering both intention-to-treat and resected populations., Results: Achieving pCR or MPR was associated with improved EFS in the intention-to-treat population (pCR, hazard ratio = 0.13; MPR, hazard ratio = 0.18, respectively) with a 24 months EFS rate of 94% and 88% for patients who achieved pCR and MPR, respectively. Independently from pCR status, patients who were treated in an experimental arm that included adjuvant immunotherapy had similar EFS., Conclusions: Our study reported a strong EFS improvement in patients who achieved either pCR or MPR after neoadjuvant chemoimmunotherapy. The use of adjuvant immunotherapy after tumor resection was not associated with improved EFS., Competing Interests: Disclosure The authors declare no conflict of interest., (Copyright © 2024 International Association for the Study of Lung Cancer. Published by Elsevier Inc. All rights reserved.)
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- 2024
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41. Real-world Outcomes and Predictive Biomarkers for 177 Lutetium Prostate-specific Membrane Antigen Ligand Treatment in Metastatic Castration-resistant Prostate Cancer: A European Association of Urology Young Academic Urologists Prostate Cancer Working Group Multi-institutional Observational Study.
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Kafka M, Horninger A, di Santo G, Virgolini I, Neuwirt H, Unterrainer LM, Kunte SC, Deiss E, Paffenholz P, Heidenreich A, Rasul S, Einspieler H, Shariat SF, Rajwa P, Dozauer R, Tsaur I, Medlock E, Rölz N, Rausch S, la Fougère C, Trautwein N, Roesch MC, Merseburger AS, Zattoni F, Sepulcri M, Ladurner M, Bektic J, Gandaglia G, Horninger W, and Heidegger I
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- Humans, Male, Retrospective Studies, Aged, Treatment Outcome, Biomarkers, Tumor blood, Middle Aged, Europe, Radioisotopes therapeutic use, Glutamate Carboxypeptidase II metabolism, Antigens, Surface metabolism, Aged, 80 and over, Prostate-Specific Antigen blood, Ligands, Neoplasm Metastasis, Prostatic Neoplasms, Castration-Resistant pathology, Prostatic Neoplasms, Castration-Resistant radiotherapy, Prostatic Neoplasms, Castration-Resistant drug therapy, Lutetium therapeutic use
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Background: The European Association of Urology guidelines include the lutetium-177 (
177 Lu) PSMA-617 prostate-specific membrane antigen (PSMA) ligand as a therapy option for metastatic castration-resistant prostate cancer (mCRPC). A major challenge in clinical practice is to pursue a personalized treatment approach based on robust predictive biomarkers., Objective: To assess the performance of177 Lu PSMA in real-world practice and to elaborate clinical biomarkers for evaluating treatment responses., Design, Setting, and Participants: We conducted a retrospective observational study including 233 patients with mCRPC treated with177 Lu PSMA in eight high-volume European centers., Outcome Measurements and Statistical Analysis: Baseline characteristics and clinical parameters during and after177 Lu PSMA treatment were documented. Correlations to treatment response were analyzed using χ2 and log-rank tests, with differences between groups with and without disease progression calculated using a Mann-Whitney U test. Univariate and multivariate-adjusted hazard ratios (HRs) were measured using Cox proportional hazards models., Results and Limitations: A prostate-specific antigen (PSA) decrease of ≥30% was observed in 41.7%, 63.5%, and 77.8% of patients after the first, second, and third treatment cycle, respectively. Restaging performed via PSMA positron emission tomography-computed tomography revealed that 33.7% of patients had an imaging-based response, including two patients with a complete response, while 13.4% had stable disease. The median time to progression was 5 mo and the median time until the start of a consecutive antineoplastic therapy was 8.5 mo. Of importance, a PSA decrease ≥30% after the first two cycles of177 Lu PSMA (1 cycle: p = 0.0003; 2 cycles: p = 0.004), absolute PSA after the first three cycles (1 cycle: p = 0.011; 2 cycles: p = 0.0005; 3 cycles: p = 0.002), and a PSA doubling time >6 mo (p = 0.009) were significantly correlated to treatment response. Furthermore, gamma-glutamyl transferase ≤31 U/L at the start of177 Lu PSMA therapy was correlated with 1.5 times higher risk of progression for patients without but not with visceral metastases (p = 0.046)., Conclusions:177 Lu PSMA is an effective treatment option in mCRPC in the real-world setting. A PSA decrease ≥30% after the first two cycles is an early marker of response that can be easily implemented in clinical practice., Patient Summary:177 Lu PSMA is a radioactive agent approved for treatment of advanced prostate cancer. We reviewed its use outside of clinical trials for patients treated at eight European centers. We found that177 Lu PSMA is an effective treatment option in real-world practice. A PSA (prostate-specific antigen) decrease of ≥30% after the first two therapy cycles is an early indicator of response to treatment and can be used in personalizing treatments for patients., (Copyright © 2023 The Author(s). Published by Elsevier B.V. All rights reserved.)- Published
- 2024
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42. Artificial Intelligence-suggested Predictive Model of Survival in Patients Treated With Stereotactic Radiotherapy for Early Lung Cancer.
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Borghetti P, Costantino G, Santoro V, Mataj E, Singh N, Vitali P, Greco D, Volpi G, Sepulcri M, Guida C, Tomasi C, Buglione M, and Nardone V
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- Humans, Male, Female, Aged, Prognosis, Middle Aged, Carcinoma, Non-Small-Cell Lung mortality, Carcinoma, Non-Small-Cell Lung radiotherapy, Carcinoma, Non-Small-Cell Lung surgery, Carcinoma, Non-Small-Cell Lung pathology, Neoplasm Staging, Aged, 80 and over, Retrospective Studies, Neural Networks, Computer, Radiosurgery methods, Lung Neoplasms mortality, Lung Neoplasms radiotherapy, Lung Neoplasms surgery, Lung Neoplasms pathology, Artificial Intelligence
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Background/aim: Overall survival (OS)-predictive models to clinically stratify patients with stage I Non-Small Cell Lung Cancer (NSCLC) undergoing stereotactic body radiation therapy (SBRT) are still unavailable. The aim of this work was to build a predictive model of OS in this setting., Patients and Methods: Clinical variables of patients treated in three Institutions with SBRT for stage I NSCLC were retrospectively collected into a reference cohort A (107 patients) and 2 comparative cohorts B1 (32 patients) and B2 (38 patients). A predictive model was built using Cox regression (CR) and artificial neural networks (ANN) on reference cohort A and then tested on comparative cohorts., Results: Cohort B1 patients were older and with worse chronic obstructive pulmonary disease (COPD) than cohort A. Cohort B2 patients were heavier smokers but had lower Charlson Comorbidity Index (CCI). At CR analysis for cohort A, only ECOG Performance Status 0-1 and absence of previous neoplasms correlated with better OS. The model was enhanced combining ANN and CR findings. The reference cohort was divided into prognostic Group 1 (0-2 score) and Group 2 (3-9 score) to assess model's predictions on OS: grouping was close to statistical significance (p=0.081). One and 2-year OS resulted higher for Group 1, lower for Group 2. In comparative cohorts, the model successfully predicted two groups of patients with divergent OS trends: higher for Group 1 and lower for Group 2., Conclusion: The produced model is a relevant tool to clinically stratify SBRT candidates into prognostic groups, even when applied to different cohorts. ANN are a valuable resource, providing useful data to build a prognostic model that deserves to be validated prospectively., (Copyright © 2024, International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.)
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- 2024
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43. On the necessity of specialized knowledge-based models for SBRT prostate treatments plans.
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Scaggion A, Cavinato S, Dusi F, El Khouzai B, Guida F, Paronetto C, Rossato MA, Sapignoli S, Scott ASA, Sepulcri M, and Paiusco M
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- Humans, Male, Knowledge Bases, Radiotherapy, Intensity-Modulated methods, Radiotherapy Dosage, Radiotherapy Planning, Computer-Assisted methods, Radiosurgery methods, Prostatic Neoplasms radiotherapy
- Abstract
Purpose: Test whether a well-grounded KBP model trained on moderately hypo-fractionated prostate treatments can be used to satisfactorily drive the optimization of SBRT prostate treatments., Materials and Methods: A KBP model (SBRT-model) was developed, trained and validated using the first forty-seven clinically treated VMAT SBRT prostate plans (42.7 Gy/7fx or 36.25 Gy/5fx). The performance and robustness of this model were compared against a high-quality KBP-model (ST-model) that was already clinically adopted for hypo-fractionated (70 Gy/28fx and 60 Gy/20fx) prostate treatments. The two models were compared in terms of their predictions robustness, and the quality of their outcomes were evaluated against a set of reference clinical SBRT plans. Plan quality was assessed using DVH metrics, blinded clinical ranking, and a dedicated Plan Quality Metric algorithm., Results: The plan libraries of the two models were found to share a high degree of anatomical similarity. The overall quality (APQM%) of the plans obtained both with the ST- and SBRT-models was compatible with that of the original clinical plans, namely (93.7 ± 4.1)% and (91.6 ± 3.9)% vs (92.8.9 ± 3.6)%. Plans obtained with the ST-model showed significantly higher target coverage (PTV V95%): (97.9 ± 0.8)% vs (97.1 ± 0.9)% (p < 0.05). Conversely, plans optimized following the SBRT-model showed a small but not-clinically relevant increase in OAR sparing. ST-model generally provided more reliable predictions than SBRT-model. Two radiation oncologists judged as equivalent the plans based on the KBP prediction, which was also judged better that reference clinical plans., Conclusion: A KBP model trained on moderately fractionated prostate treatment plans provided optimal SBRT prostate plans, with similar or larger plan quality than an embryonic SBRT-model based on a limited number of cases., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Associazione Italiana di Fisica Medica e Sanitaria. Published by Elsevier Ltd. All rights reserved.)
- Published
- 2024
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44. Sterotactic Ablative Radiotherapy in a Multicentric Series of Oligometastatic SCLC: The SAMOS Cohort.
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Borghetti P, Facheris G, Ciammella P, Galaverni M, Granello L, Scotti V, Franceschini D, Romei A, Giaj Levra N, Federico M, La Vecchia M, Merlotti A, Sepulcri M, Piperno G, Marvaso G, Simoni N, Alì E, Pontoriero A, Cappelli A, Dionisi V, Menis J, Martino A, Vagge S, Canova S, Montesi G, Cuccia F, Boldrini L, Franzese C, Grisanti S, Bruni A, and Scorsetti M
- Subjects
- Humans, Middle Aged, Retrospective Studies, Kaplan-Meier Estimate, Proportional Hazards Models, Lung Neoplasms radiotherapy, Lung Neoplasms drug therapy, Radiosurgery adverse effects
- Abstract
Aims: SCLC is the most aggressive lung cancer histology with a 5-year OS <10%. At the diagnosis, almost two-thirds of the SCLC an Extended Disease presentation. Two randomized studies (CASPIAN and ImPower133) demonstrated an OS improvement, when immunotherapy was prescribed as maintenance therapy after standard chemotherapy. To date, SABR has had a limited indication in managing metastatic SCLC, although recent reports proposed it as a valid treatment option in selected patients. We propose a retrospective multicentric analysis of patients treated with SABR for oligometastatic SCLC., Method: Data of patients affected by oligometastatic-SCLC treated with SABR between 2017 and 2022 in 11 Italian centers were collected. Clinical and therapeutic variables together with OS and time to next treatment were analyzed. Univariate analysis with Kaplan-Meier curve were calculated, and log-rank test were applied. Cox proportional hazard model was used for multivariate analysis., Results: Data from 93 patients and 132 metastatic lesions were analyzed. The median age was 64 years (36-86) and all but 1 had Performance Status 0 or 1. Fifty-two patients presented ED at diagnosis. The first line treatment was radiochemotherapy in 42%, CHT alone in 24% and CHT-IO in 28%, others treatment accounts for 4% and only 2% of patients underwent best supportive care. Of the 132 lesions treated with SBRT 55 were in brain, 27 in lung, 11 in liver, 10 in lymph nodes, 8 in bones and 20 in adrenal gland. Median OS was 14 months, 1 year-OS and 2 years OS were 53% and 27%, respectively. The median TtNT was 14 months for the entire population. Of all the analyzed variables only, the anatomical site of the metastases and their number showed statistical significance in the univariate analysist, confirmed in the subsequent multivariate., Conclusion: SABR seems to play a role in delaying further systemic lines in oligometastatic disease and to extend the use of ongoing treatment in oligoprogressive state. Prospective studies are needed to confirm these findings., (Copyright © 2023 Elsevier Inc. All rights reserved.)
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- 2024
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45. European Association of Urology Biochemical Recurrence Risk Classification as a Decision Tool for Salvage Radiotherapy-A Multicenter Study.
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Preisser F, Abrams-Pompe RS, Stelwagen PJ, Böhmer D, Zattoni F, Magli A, Rivas JG, Dilme RV, Sepulcri M, Eguibar A, Heidegger I, Arnold C, Fankhauser CD, Chun FK, van der Poel H, Gandaglia G, Wiegel T, van den Bergh RCN, and Tilki D
- Subjects
- Male, Humans, Neoplasm Staging, Retrospective Studies, Prostate-Specific Antigen analysis, Prostatectomy adverse effects, Salvage Therapy methods, Neoplasm Recurrence, Local pathology, Urology, Prostatic Neoplasms radiotherapy, Prostatic Neoplasms surgery, Prostatic Neoplasms pathology
- Abstract
Background: The European Association of Urology (EAU) has proposed a risk stratification for patients harboring biochemical recurrence (BCR) after radical prostatectomy (RP)., Objective: To assess whether this risk stratification helps in choosing patients for salvage radiotherapy (SRT)., Design, Setting, and Participants: Analyses of 2379 patients who developed BCR after RP (1989-2020), within ten European high-volume centers, were conducted. Early and late SRT were defined as SRT delivered at prostate-specific antigen values <0.5 and ≥0.5 ng/ml, respectively., Outcome Measurements and Statistical Analysis: Multivariable Cox models tested the effect of SRT versus no SRT on death and cancer-specific death. The Simon-Makuch method tested for survival differences within each risk group., Results and Limitations: Overall, 805 and 1574 patients were classified as having EAU low- and high-risk BCR. The median follow-up was 54 mo after BCR for survivors. For low-risk BCR, 12-yr overall survival was 87% versus 78% (p = 0.2) and cancer-specific survival was 100% versus 96% (p = 0.2) for early versus no SRT. For high-risk BCR, 12-yr overall survival was 81% versus 66% (p < 0.001) and cancer-specific survival was 98% versus 82% (p < 0.001) for early versus no SRT. In multivariable analyses, early SRT decreased the risk for death (hazard ratio [HR]: 0.55, p < 0.01) and cancer-specific death (HR: 0.08, p < 0.001). Late SRT was a predictor of cancer-specific death (HR: 0.17, p < 0.01) but not death (p = 0.1)., Conclusions: Improved survival was recorded within the high-risk BCR group for patients treated with early SRT compared with those under observation. Our results suggest recommending early SRT for high-risk BCR men. Conversely, surveillance might be suitable for low-risk BCR, since only nine patients with low-risk BCR died from prostate cancer during follow-up., Patient Summary: The impact of salvage radiotherapy (SRT) on cancer-specific outcomes stratified according to the European Association of Urology biochemical recurrence (BCR) risk classification was assessed. While men with high-risk BCR should be offered SRT, surveillance might be a suitable option for those with low-risk BCR., (Copyright © 2023 European Association of Urology. Published by Elsevier B.V. All rights reserved.)
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- 2024
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46. Redetermination of PD-L1 expression after chemio-radiation in locally advanced PDL1 negative NSCLC patients: retrospective multicentric analysis.
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Ciammella P, Cozzi S, Borghetti P, Galaverni M, Nardone V, Ruggieri MP, Sepulcri M, Scotti V, Bruni A, Zanelli F, Piro R, Tagliavini E, Botti A, Iori F, Alì E, Bennati C, and Tiseo M
- Abstract
Background: Chemoradiation therapy (CRT) is the treatment of choice for locally advanced non-small cell lung cancer (LA-NSCLC). Several clinical trials that combine programmed cell death 1 (PD1) axis inhibitors with radiotherapy are in development for patients with LA-NSCLC. However, the effect of CRT on tumor cells programmed cell death ligand-1 (PD-L1) expression is unknown., Methods: In this multicentric retrospective study, we analyzed paired NSCLC specimens that had been obtained pre- and post-CRT. PD-L1 expression on tumor cells was studied by immunohistochemistry. The purpose of this study was to evaluate the feasibility, risk of complications, and clinical relevance of performing re-biopsy after CRT in patients with PD-L1 negative LA-NSCLC., Results: Overall, 31 patients from 6 centers with PD-L1 negative LA-NSCLC were analyzed. The percentage of tumor cells with PD-L1 expression significantly increased between pre- and post-CRT specimens in 14 patients (45%). Nine patients had unchanged PD-L1 expression after CRT, in five patients the rebiopsy material was insufficient for PD-L1 analysis and in two patients no tumor cells at rebiopsy were found. The post-rebiopsy complication rate was very low (6%). All patients with positive PD-L1 re-biopsy received Durvalumab maintenance after CRT, except one patient who had a long hospitalization for tuberculosis reactivation. Median PFS of patients with unchanged or increased PD-L1 expression was 10 and 16.9 months, respectively., Conclusion: CRT administration can induce PD-L1 expression in a considerable fraction of PD-L1 negative patients at baseline, allowing them receiving the maintenance Durvalumab in Europe. Hence, after a definitive CRT, PD-L1 redetermination should be considered in patients with LA-NSCLC PD-L1 negative, to have a better selection of maintenance Durvalumab candidates., Competing Interests: MT received speakers’ and consultants’ fee from Astra-Zeneca, Pfizer, Eli-Lilly, BMS, Novartis, Roche, MSD, Boehringer Ingelheim, Otsuka, Takeda, Pierre Fabre, Amgen, Merck, Sanofi. MT received institutional research grants from Astra-Zeneca, Boehringer Ingelheim. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Ciammella, Cozzi, Borghetti, Galaverni, Nardone, Ruggieri, Sepulcri, Scotti, Bruni, Zanelli, Piro, Tagliavini, Botti, Iori, Alì, Bennati and Tiseo.)
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- 2024
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47. Role of radiomic analysis of [ 18 F]fluoromethylcholine PET/CT in predicting biochemical recurrence in a cohort of intermediate and high risk prostate cancer patients at initial staging.
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Marturano F, Guglielmo P, Bettinelli A, Zattoni F, Novara G, Zorz A, Sepulcri M, Gregianin M, Paiusco M, and Evangelista L
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- Male, Humans, Prostate-Specific Antigen, Artificial Intelligence, Retrospective Studies, Positron Emission Tomography Computed Tomography methods, Prostatic Neoplasms diagnostic imaging, Prostatic Neoplasms therapy
- Abstract
Aim: To study the feasibility of radiomic analysis of baseline [
18 F]fluoromethylcholine positron emission tomography/computed tomography (PET/CT) for the prediction of biochemical recurrence (BCR) in a cohort of intermediate and high-risk prostate cancer (PCa) patients., Material and Methods: Seventy-four patients were prospectively collected. We analyzed three prostate gland (PG) segmentations (i.e., PGwhole : whole PG; PG41% : prostate having standardized uptake value - SUV > 0.41*SUVmax; PG2.5 : prostate having SUV > 2.5) together with three SUV discretization steps (i.e., 0.2, 0.4, and 0.6). For each segmentation/discretization step, we trained a logistic regression model to predict BCR using radiomic and/or clinical features., Results: The median baseline prostate-specific antigen was 11 ng/mL, the Gleason score was > 7 for 54% of patients, and the clinical stage was T1/T2 for 89% and T3 for 9% of patients. The baseline clinical model achieved an area under the receiver operating characteristic curve (AUC) of 0.73. Performances improved when clinical data were combined with radiomic features, in particular for PG2.5 and 0.4 discretization, for which the median test AUC was 0.78., Conclusion: Radiomics reinforces clinical parameters in predicting BCR in intermediate and high-risk PCa patients. These first data strongly encourage further investigations on the use of radiomic analysis to identify patients at risk of BCR., Clinical Relevance Statement: The application of AI combined with radiomic analysis of [18 F]fluoromethylcholine PET/CT images has proven to be a promising tool to stratify patients with intermediate or high-risk PCa in order to predict biochemical recurrence and tailor the best treatment options., Key Points: • Stratification of patients with intermediate and high-risk prostate cancer at risk of biochemical recurrence before initial treatment would help determine the optimal curative strategy. • Artificial intelligence combined with radiomic analysis of [18 F]fluorocholine PET/CT images allows prediction of biochemical recurrence, especially when radiomic features are complemented with patients' clinical information (highest median AUC of 0.78). • Radiomics reinforces the information of conventional clinical parameters (i.e., Gleason score and initial prostate-specific antigen level) in predicting biochemical recurrence., (© 2023. The Author(s).)- Published
- 2023
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48. Estimated Direct Costs of Renal Cancer by Stage of Disease at Diagnosis and Phase of Its Management: A Whole-Disease Model.
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Buja A, De Luca G, Gatti M, Bonaldi F, Gardi M, Bortolami A, Sepulcri M, Bimbatti D, Baldo V, Scioni M, Maruzzo M, Basso U, and Zagonel V
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- Humans, Health Care Costs, Italy, Carcinoma, Renal Cell therapy, Carcinoma, Renal Cell drug therapy, Kidney Neoplasms drug therapy
- Abstract
Background: Renal cell carcinoma (RCC) is the seventh most common neoplasm in high-income countries. New clinical pathways have been developed to deal with this tumor, which includes costly drugs that pose an economic threat to the sustainability of healthcare services. This study provides an estimate of the direct costs of care for patients with RCC by stage of disease (early vs. advanced) at diagnosis, and disease management phase along the pathway recommended by local and international guidelines., Materials and Methods: Considering the clinical pathway for RCC adopted in the Veneto region (north-east Italy) and the latest guidelines, we developed a very detailed "whole-disease" model that covers the probabilities of all potentially necessary diagnostic and therapeutic actions involved in the management of RCC. Based on the cost of each procedure according to the Veneto Regional Authority's official reimbursement tariffs, we estimated the total and average per-patient costs by stage of disease (early or advanced) and phase of its management., Results: In the first year after diagnosis, the mean expected cost of a patient with RCC is €12,991 if it is localized or locally-advanced and reaches €40,586 if it is advanced. For early disease, the main cost is incurred by surgery, whereas medical therapy (first and second line) and supportive care become increasingly important for metastatic disease., Conclusion: It is crucially important to examine the direct costs of care for RCC, and to predict the burden on healthcare services of new oncological therapies and treatments, as the findings could be useful for policy-makers planning the allocation of resources., (Copyright © 2023 Elsevier Inc. All rights reserved.)
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- 2023
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49. Additional Value of PET and CT Image-Based Features in the Detection of Occult Lymph Node Metastases in Lung Cancer: A Systematic Review of the Literature.
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Guglielmo P, Marturano F, Bettinelli A, Sepulcri M, Pasello G, Gregianin M, Paiusco M, and Evangelista L
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Lung cancer represents the second most common malignancy worldwide and lymph node (LN) involvement serves as a crucial prognostic factor for tailoring treatment approaches. Invasive methods, such as mediastinoscopy and endobronchial ultrasound-guided transbronchial needle aspiration (EBUS-TBNA), are employed for preoperative LN staging. Among the preoperative non-invasive diagnostic methods, computed tomography (CT) and, recently, positron emission tomography (PET)/CT with fluorine-18-fludeoxyglucose ([
18 F]FDG) are routinely recommended by several guidelines; however, they can both miss pathologically proven LN metastases, with an incidence up to 26% for patients staged with [18 F]FDG PET/CT. These undetected metastases, known as occult LN metastases (OLMs), are usually cases of micro-metastasis or small LN metastasis (shortest radius below 10 mm). Hence, it is crucial to find novel approaches to increase their discovery rate. Radiomics is an emerging field that seeks to uncover and quantify the concealed information present in biomedical images by utilising machine or deep learning approaches. The extracted features can be integrated into predictive models, as numerous reports have emphasised their usefulness in the staging of lung cancer. However, there is a paucity of studies examining the detection of OLMs using quantitative features derived from images. Hence, the objective of this review was to investigate the potential application of PET- and/or CT-derived quantitative radiomic features for the identification of OLMs.- Published
- 2023
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50. Secondary prevention and treatment innovation of early stage non-small cell lung cancer: Impact on diagnostic-therapeutic pathway from a multidisciplinary perspective.
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Pasello G, Scattolin D, Bonanno L, Caumo F, Dell'Amore A, Scagliori E, Tinè M, Calabrese F, Benati G, Sepulcri M, Baiocchi C, Milella M, Rea F, and Guarneri V
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- Humans, Secondary Prevention, Tomography, X-Ray Computed, Early Detection of Cancer methods, Carcinoma, Non-Small-Cell Lung diagnosis, Carcinoma, Non-Small-Cell Lung therapy, Lung Neoplasms diagnosis, Lung Neoplasms prevention & control, Small Cell Lung Carcinoma
- Abstract
Lung cancer (LC) is the leading cause of cancer-related death worldwide, mostly because the lack of a screening program so far. Although smoking cessation has a central role in LC primary prevention, several trials on LC screening through low-dose computed tomography (LDCT) in a high risk population showed a significant reduction of LC related mortality. Most trials showed heterogeneity in terms of selection criteria, comparator arm, detection nodule method, timing and intervals of screening and duration of the follow-up. LC screening programs currently active in Europe as well as around the world will lead to a higher number of early-stage Non Small Cell Lung Cancer (NSCLC) at the diagnosis. Innovative drugs have been recently transposed from the metastatic to the perioperative setting, leading to improvements in terms of resection rates and pathological responses after induction chemoimmunotherapy, and disease free survival with targeted agents and immune checkpoint inhibitors. The present review summarizes available evidence about LC screening, highlighting potential pitfalls and benefits and underlining the impact on the diagnostic therapeutic pathway of NSCLC from a multidisciplinary perspective. Future perspectives in terms of circulating biomarkers under evaluation for patients' risk stratification as well as a focus on recent clinical trials results and ongoing studies in the perioperative setting will be also presented., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 The Author(s). Published by Elsevier Ltd.. All rights reserved.)
- Published
- 2023
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