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Your search keyword '"Biederer, Juergen"' showing total 24 results
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24 results on '"Biederer, Juergen"'

2. cOOpD: Reformulating COPD classification on chest CT scans as anomaly detection using contrastive representations

Author

Almeida, Silvia D., Lüth, Carsten T., Norajitra, Tobias, Wald, Tassilo, Nolden, Marco, Jaeger, Paul F., Heussel, Claus P., Biederer, Jürgen, Weinheimer, Oliver, and Maier-Hein, Klaus

Subjects
Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition
Abstract

Classification of heterogeneous diseases is challenging due to their complexity, variability of symptoms and imaging findings. Chronic Obstructive Pulmonary Disease (COPD) is a prime example, being underdiagnosed despite being the third leading cause of death. Its sparse, diffuse and heterogeneous appearance on computed tomography challenges supervised binary classification. We reformulate COPD binary classification as an anomaly detection task, proposing cOOpD: heterogeneous pathological regions are detected as Out-of-Distribution (OOD) from normal homogeneous lung regions. To this end, we learn representations of unlabeled lung regions employing a self-supervised contrastive pretext model, potentially capturing specific characteristics of diseased and healthy unlabeled regions. A generative model then learns the distribution of healthy representations and identifies abnormalities (stemming from COPD) as deviations. Patient-level scores are obtained by aggregating region OOD scores. We show that cOOpD achieves the best performance on two public datasets, with an increase of 8.2% and 7.7% in terms of AUROC compared to the previous supervised state-of-the-art. Additionally, cOOpD yields well-interpretable spatial anomaly maps and patient-level scores which we show to be of additional value in identifying individuals in the early stage of progression. Experiments in artificially designed real-world prevalence settings further support that anomaly detection is a powerful way of tackling COPD classification.

Published
2023

3. Abstract: Reformulating COPD Classification on Chest CT Scans as Anomaly Detection using Contrastive Representations : cOOpD

Author

Almeida, Silvia D., Lüth, Carsten T., Norajitra, Tobias, Wald, Tassilo, Nolden, Marco, Jäger, Paul F., Heussel, Claus P., Biederer, Jürgen, Weinheimer, Oliver, Maier-Hein, Klaus H., Gesellschaft für Informatik e.V. (GI), Maier, Andreas, editor, Deserno, Thomas M., editor, Handels, Heinz, editor, Maier-Hein, Klaus, editor, Palm, Christoph, editor, and Tolxdorff, Thomas, editor

Published
2024
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6. Relationship between clinical and radiological signs of bronchiectasis in COPD patients: Results from COSYCONET

Author

Stefan, Andreas, Robert, Bals, Jürgen, Behr, Kathrin, Kahnert, Burkhard, Bewig, Bahmer, Thomas, Roland, Buhl, Ralf, Ewert, Beate, Stubbe, Joachim H, Ficker, Manfred, Gogol, Christian, Grohé, Rainer, Hauck, Matthias, Held, Berthold, Jany, Markus, Henke, Felix, Herth, Gerd, Höffken, Hugo A, Katus, Anne-Marie, Kirsten, Henrik, Watz, Rembert, Koczulla, Klaus, Kenn, Juliane, Kronsbein, Cornelia, Kropf-Sanchen, Christoph, Lange, Peter, Zabel, Michael, Pfeifer, Winfried J, Randerath, Werner, Seeger, Michael, Studnicka, Christian, Taube, Helmut, Teschler, Hartmut, Timmermann, Christian, Virchow J., Claus, Vogelmeier, Ulrich, Wagner, Tobias, Welte, Hubert, Wirtz, Lehnert, Doris, Struck, Birte, Krabbe, Lenka, Arikan, Barbara, Tobias, Julia, Spangel, Gina, Teng, Julia, Essen, Ruhrlandklinik gGmbH., Pieper, Jeanette, Gleiniger, Margret, Markworth, Britta, Hinz, Zaklina, Hundack-Winter, Petra, Burmann, Ellen, Wons, Katrin, Rieber, Ulrike, Schaufler, Beate, Seibert, Martina, Schwedler, Katrin, Michalewski, Sabine, Rohweder, Sonja, Kiel, Campus, Berger, Patricia, Schottel, Diana, Klöser, Manuel, Janke, Vivien, Untsch, Rosalie, Graf, Jana, Reichel, Anita, Weiß, Gertraud, Traugott, Erich, Ziss, Barbara, Kietzmann, Ilona, Schrade-Illmann, Michaela, Polte, Beate, Böckmann, Cornelia, Hübner, Gudrun, Sterk, Lena, Wirz, Anne, Kahnert, Kathrin, Jörres, Rudolf A., Kauczor, Hans-Ulrich, Biederer, Jürgen, Jobst, Bertram, Alter, Peter, Biertz, Frank, Mertsch, Pontus, Lucke, Tanja, Lutter, Johanna I., Trudzinski, Franziska C., Behr, Jürgen, Bals, Robert, Watz, Henrik, Vogelmeier, Claus F., and Welte, Tobias

Published
2020
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15. Recommendations of the Thoracic Imaging Section of the German Radiological Society for clinical application of chest imaging and structured CT reporting in the COVID-19 pandemic

Author

Vogel-Claussen, Jens, Ley-Zaporozhan, Julia, Agarwal, Prerana, Biederer, Juergen, Kauczor, Hans-Ulrich, Ley, Sebastian, Kuehl, Hilmar, Mueller-Lisse, Ullrich G., Persigehl, Thorsten, Schlett, Christopher L., Wormanns, Dag, Antoch, Gerald, Hamer, Okka W., Vogel-Claussen, Jens, Ley-Zaporozhan, Julia, Agarwal, Prerana, Biederer, Juergen, Kauczor, Hans-Ulrich, Ley, Sebastian, Kuehl, Hilmar, Mueller-Lisse, Ullrich G., Persigehl, Thorsten, Schlett, Christopher L., Wormanns, Dag, Antoch, Gerald, and Hamer, Okka W.

Abstract

This information provided by the Thoracic Imaging Section of the German Radiological Society is intended to give physicians recommendations on the use of thoracic imaging procedures in the context of the current COVID-19 pandemic. It represents the consensus of the authors based on the previous scientific knowledge and is intended to provide guidance for unified, structured CT reporting if COVID-19 pneumonia is suspected. The recommendations presented correspond to state of knowledge at the time of print and will be updated according to the results of ongoing and future scientific studies. Key Points: COVID-19 chest imaging German Radiological Society

Published
2020

16. Optimizing airway wall segmentation and quantification by reducing the influence of adjacent vessels and intravascular contrast material with a modified integral-based algorithm in quantitative computed tomography

Author

Konietzke, Philip, primary, Weinheimer, Oliver, additional, Wagner, Willi L., additional, Wuennemann, Felix, additional, Hintze, Christian, additional, Biederer, Juergen, additional, Heussel, Claus P., additional, Kauczor, Hans-Ulrich, additional, and Wielpütz, Mark O., additional

Published
2020
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21. Screening for lung cancer: Does MRI have a role?

Author

Biederer, Juergen, primary, Ohno, Yoshiharu, additional, Hatabu, Hiroto, additional, Schiebler, Mark L., additional, van Beek, Edwin J.R., additional, Vogel-Claussen, Jens, additional, and Kauczor, Hans-Ulrich, additional

Published
2017
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23. Diagnostic scope of 18 F-PSMA-1007 PET/CT: comparison with multiparametric MRI and bone scintigraphy for the assessment of early prostate cancer recurrence.

Author

Saule L, Radzina M, Liepa M, Roznere L, Kalnina M, Lioznovs A, Mamis E, Mikelsone M, Biederer J, and Vjaters E

Abstract

The aim of this study was to compare the diagnostic tools- 18 F-PSMA-1007 positron emission tomography (PET/CT), magnetic resonance imaging (MRI) and bone scintigraphy for the evaluation of local recurrence, regional lymph nodes and bone metastases of recurrent prostate cancer (PCa). 28 PCa patients after radical prostatectomy and/or radiation therapy and with biochemical relapse were enrolled in this study. The evaluation of local recurrence and regional lymph node metastases was based on results of PET/CT and MRI. Local recurrent disease in 28 patients was detected by PET/CT in 36% (10/28) and by MRI in 32% (9/28) with sensitivity, specificity, accuracy of 90.9%, 100%, 96.4% and 81.8%, 100%, 92.9%, respectively (kappa 0.92, P<0.001). Nodal involvement was confirmed by PET/CT and MRI in 46% (13/28) and 25% (7/28) with sensitivity, specificity and accuracy for PET/CT 92.3%, 93.3%, 92.9% and for MRI-53.8%, 100%, 78.6%, respectively (kappa 0.57, P<0.001). The evaluation of skeletal metastases was based on PET/CT and bone scintigraphy. Bone metastases were seen on PET/CT and bone scintigraphy in 21% (6/28) and 20% (5/25) with sensitivity, specificity and accuracy of 100%; 91.7%; 92.9% and 50.0%; 85.7%; 80.0%, respectively (kappa 0.41, P<0.01). In conclusion, our comparative study demonstrates advantages of 18 F-PSMA-1007 PET/CT compared to MRI and scintigraphy for the evaluation of recurrent prostate cancer. Both methods, 18 F-PSMA-1007 PET/CT and MRI, detect local recurrence with high accuracy and excellent agreement, which may be attributed to the low urinary background clearance of 18 F-PSMA-1007., Competing Interests: None., (AJNMMI Copyright © 2021.)

Published
2021

24. Accuracy of 68 Ga-PSMA-11 PET/CT and multiparametric MRI for the detection of local tumor and lymph node metastases in early biochemical recurrence of prostate cancer.

Author

Radzina M, Tirane M, Roznere L, Zemniece L, Dronka L, Kalnina M, Mamis E, Biederer J, Lietuvietis V, Freimanis A, and Vjaters E

Abstract

Anatomical and functional imaging plays a decisive role for detection and staging, of prostate cancer both primarily and post-treatment. While multiparametric MRI offers anatomic imaging with excellent soft tissue contrast, hybrid imaging based on positron emission tomography in combination with computed tomography (PET/CT) contributes functional imaging capacities. Since 68 Ga-PSMA-11 was expected to be more efficient than the prior Choline-based PET radiotracers, it was the aim of the study to evaluate the diagnostic performance of the 68 Ga-PSMA-11 PET/CT and multiparametric MRI in patients with recurrent prostate cancer and low PSA levels. 32 out of a cohort of 128 prostate cancer patients with biochemical relapse were referred for 68 Ga-PSMA-11 PET/CT, MRI and bone scintigraphy. According to the histopathologically or clinically defined reference standard all results were classified as true positive, false positive, true negative or false negative. Local recurrence was present in 11/32 patients, lymph node metastases - in 13/32 patients and, bone metastases - in 6/32 patients. Against the standard of reference, sensitivity, specificity and accuracy for local recurrence of PET/CT were 63.6 %; 73.7%; 77.8%, respectively. MRI reached 90.9%; 94.7%; 92.3%, respectively. For local lymph node metastases PET/CT - 83.3%; 80.0% and 90.6%, respectively. MRI - 41.7%; 94.4%; 72.0%, respectively. For evaluation of bone metastases in PET/CT - 83.3%; 92.0%; 71.0%, respectively. Bone scintigraphy - 50.0%; 84.0%; 77.4%, respectively. In conclusion, mpMRI offered the better diagnostic accuracy in the detection of local recurrence and while PSMA PET/CT was superior in the detection of distant and lymph node metastases., Competing Interests: None., (AJNMMI Copyright © 2020.)

Published
2020

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