Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Viktoria Schütz"'
Autor:
Philippa Lantwin, Adam Kaczorowski, Cathleen Nientiedt, Constantin Schwab, Martina Kirchner, Viktoria Schütz, Magdalena Görtz, Markus Hohenfellner, Anette Duensing, Albrecht Stenzinger, Stefan Duensing
Publikováno v:
Onco, Vol 4, Iss 2, Pp 56-67 (2024)
Introduction: DNA damage repair gene deficiency defines a subgroup of prostate cancer patients with early metastatic progression and unfavorable disease outcome. Whether deficiency in DNA damage repair genes directly promotes metastatic dissemination
Externí odkaz:
https://doaj.org/article/9f17468612fa46e4819be81e9d632d17
Autor:
Philipp Reimold, Georgi Tosev, Adam Kaczorowski, Jana Friedhoff, Constantin Schwab, Viktoria Schütz, Magdalena Görtz, Niklas Panzer, Martina Heller, Cem Aksoy, Ruth Himmelsbach, Thomas Walle, Stefanie Zschäbitz, Dirk Jäger, Anette Duensing, Albrecht Stenzinger, Markus Hohenfellner, Stefan Duensing
Publikováno v:
Diagnostics, Vol 14, Iss 7, p 741 (2024)
Background: Renal cell carcinoma (RCC) is among the most lethal urologic malignancies once metastatic. Current treatment approaches for metastatic RCC (mRCC) involve immune checkpoint inhibitors (ICIs) that target the PD-L1/PD-1 axis. High PD-L1 expr
Externí odkaz:
https://doaj.org/article/024657d17a2c4da0b88ebf9657dd40fd
Autor:
Magdalena Görtz, Michael Byczkowski, Mathias Rath, Viktoria Schütz, Philipp Reimold, Claudia Gasch, Tobias Simpfendörfer, Keno März, Alexander Seitel, Marco Nolden, Tobias Ross, Diana Mindroc-Filimon, Dominik Michael, Jasmin Metzger, Sinan Onogur, Stefanie Speidel, Lars Mündermann, Johannes Fallert, Michael Müller, Magnus von Knebel Doeberitz, Dogu Teber, Peter Seitz, Lena Maier-Hein, Stefan Duensing, Markus Hohenfellner
Publikováno v:
JMIR Medical Informatics, Vol 10, Iss 1, p e27743 (2022)
BackgroundAlthough digital and data-based technologies are widespread in various industries in the context of Industry 4.0, the use of smart connected devices in health care is still in its infancy. Innovative solutions for the medical environment ar
Externí odkaz:
https://doaj.org/article/7655c25d9c6a4be0b610621cadf536b7
Autor:
Joanne Nyaboe Nyarangi-Dix, Magdalena Görtz, Georgi Gradinarov, Luisa Hofer, Viktoria Schütz, Claudia Gasch, Jan Philipp Radtke, Markus Hohenfellner
Publikováno v:
BMC Urology, Vol 19, Iss 1, Pp 1-7 (2019)
Abstract Background Retzius-sparing robot-assisted laparoscopic radical prostatectomy (rsRARP) allows entire prostatectomy procedure via the pouch of Douglas. In low- and intermediate-risk prostate cancer (PCa) there is level 1 evidence that the Retz
Externí odkaz:
https://doaj.org/article/f16072bd2e1242139155c28666666548
Autor:
Jan Philipp Radtke, Francesco Giganti, Manuel Wiesenfarth, Armando Stabile, Jose Marenco, Clement Orczyk, Veeru Kasivisvanathan, Joanne Nyaboe Nyarangi-Dix, Viktoria Schütz, Svenja Dieffenbacher, Magdalena Görtz, Albrecht Stenzinger, Wilfried Roth, Alex Freeman, Shonit Punwani, David Bonekamp, Heinz-Peter Schlemmer, Markus Hohenfellner, Mark Emberton, Caroline M Moore
Publikováno v:
PLoS ONE, Vol 14, Iss 8, p e0221350 (2019)
BackgroundRisk models (RM) need external validation to assess their value beyond the setting in which they were developed. We validated a RM combining mpMRI and clinical parameters for the probability of harboring significant prostate cancer (sPC, Gl
Externí odkaz:
https://doaj.org/article/4e1cafc4062a4c3aad8f30915356e089
Autor:
Kevin Sun Zhang, Patrick Schelb, Nils Netzer, Anoshirwan Andrej Tavakoli, Myriam Keymling, Eckhard Wehrse, Robert Hog, Lukas Thomas Rotkopf, Markus Wennmann, Philip Alexander Glemser, Heidi Thierjung, Nikolaus von Knebel Doeberitz, Jens Kleesiek, Magdalena Görtz, Viktoria Schütz, Thomas Hielscher, Albrecht Stenzinger, Markus Hohenfellner, Heinz-Peter Schlemmer, Klaus Maier-Hein, David Bonekamp
Publikováno v:
Investigative radiology. 57(9)
The aim of this study was to estimate the prospective utility of a previously retrospectively validated convolutional neural network (CNN) for prostate cancer (PC) detection on prostate magnetic resonance imaging (MRI).The biparametric (T2-weighted a
Autor:
Markus Hohenfellner, Albrecht Stenzinger, Teeravut Tubtawee, Tristan Anselm Kuder, Patrick Schelb, J. P. Radtke, Magdalena Görtz, Thomas Hielscher, Heinz Peter Schlemmer, Lars Schimmöller, Anoshirwan Andrej Tavakoli, Viktoria Schütz, David Bonekamp
Publikováno v:
RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren. 193:559-573
A recently developed deep learning model (U-Net) approximated the clinical performance of radiologists in the prediction of clinically significant prostate cancer (sPC) from prostate MRI. Here, we compare the agreement between lesion segmentations by
Autor:
Clemens Kratochwil, Horacio Amaral, Camilo Sandoval, Frederik L. Giesel, Markus Hohenfellner, Katharina Sprute, M. Eiber, Norio Nonomura, Sadahiro Naka, Manuel Meneses, Jun Hatazawa, Viktoria Schütz, Tim Holland-Letz, Michael Schaefers, P. L. Choyke, Uwe Haberkorn, Juergen Debus, Cristian Soza-Ried, René Fernández, Vasko Kramer, Tadashi Watabe, Constantin Schwab, Kambiz Rahbar, Motohide Uemura, Isabel Rauscher, Stefan A. Koerber, Wolfgang Weber
Publikováno v:
Journal of Nuclear Medicine. 62:208-213
Prostate-specific membrane antigen (PSMA)-ligand PET/CT is performed on patients with prostate cancer to stage the disease initially or to identify sites of recurrence after definitive therapy. On the basis of clinical results, 18F-PSMA-1007 is a pro
Autor:
Magdalena Görtz, Joanne Nyarangi-Dix, Lars Pursche, Viktoria Schütz, Philipp Reimold, Constantin Schwab, Albrecht Stenzinger, Holger Sültmann, Stefan Duensing, Heinz-Peter Schlemmer, David Bonekamp, Markus Hohenfellner, Jan Radtke
Publikováno v:
Cancers; Volume 14; Issue 4; Pages: 886
Multiparametric magnetic resonance imaging (mpMRI) and MRI/ultrasound fusion-targeted prostate biopsy (FB) have excellent sensitivity in detecting significant prostate cancer (sPC). FB platforms can be distinguished by rigid (RTB) or elastic image re
Publikováno v:
Klinische Pädiatrie. 231:199-205
Zusammenfassung Hintergrund Die konservative Therapie ist der Standard bei Unter-4-jährigen mit Femurfraktur. Um die Zufriedenheit der Eltern mit dieser aufwändigen Behandlung zu verbessern haben wir wichtige Einflussfaktoren auf diesen wichtigen B