Literature DB >> 35195746

Assessing the clinical performance of artificial intelligence software for prostate cancer detection on MRI.

Tobias Penzkofer1, Anwar R Padhani2, Baris Turkbey3, Hashim U Ahmed4.   

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Year:  2022        PMID： 35195746     DOI： 10.1007/s00330-022-08609-6

Source DB:  PubMed          Journal:  Eur Radiol        ISSN： 0938-7994            Impact factor:   7.034


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  6 in total

1.  A Novel Deep Learning Based Computer-Aided Diagnosis System Improves the Accuracy and Efficiency of Radiologists in Reading Biparametric Magnetic Resonance Images of the Prostate: Results of a Multireader, Multicase Study.

Authors:  David J Winkel; Angela Tong; Bin Lou; Ali Kamen; Dorin Comaniciu; Jonathan A Disselhorst; Alejandro Rodríguez-Ruiz; Henkjan Huisman; Dieter Szolar; Ivan Shabunin; Moon Hyung Choi; Pengyi Xing; Tobias Penzkofer; Robert Grimm; Heinrich von Busch; Daniel T Boll
Journal:  Invest Radiol       Date:  2021-03-18       Impact factor: 6.016

2.  Prostate Magnetic Resonance Imaging, with or Without Magnetic Resonance Imaging-targeted Biopsy, and Systematic Biopsy for Detecting Prostate Cancer: A Cochrane Systematic Review and Meta-analysis.

Authors:  Frank-Jan H Drost; Daniel Osses; Daan Nieboer; Chris H Bangma; Ewout W Steyerberg; Monique J Roobol; Ivo G Schoots
Journal:  Eur Urol       Date:  2019-07-18       Impact factor: 20.096

3.  Classification of Cancer at Prostate MRI: Deep Learning versus Clinical PI-RADS Assessment.

Authors:  Patrick Schelb; Simon Kohl; Jan Philipp Radtke; Manuel Wiesenfarth; Philipp Kickingereder; Sebastian Bickelhaupt; Tristan Anselm Kuder; Albrecht Stenzinger; Markus Hohenfellner; Heinz-Peter Schlemmer; Klaus H Maier-Hein; David Bonekamp
Journal:  Radiology       Date:  2019-10-08       Impact factor: 11.105

Review 4.  EAU-EANM-ESTRO-ESUR-SIOG Guidelines on Prostate Cancer-2020 Update. Part 1: Screening, Diagnosis, and Local Treatment with Curative Intent.

Authors:  Nicolas Mottet; Roderick C N van den Bergh; Erik Briers; Thomas Van den Broeck; Marcus G Cumberbatch; Maria De Santis; Stefano Fanti; Nicola Fossati; Giorgio Gandaglia; Silke Gillessen; Nikos Grivas; Jeremy Grummet; Ann M Henry; Theodorus H van der Kwast; Thomas B Lam; Michael Lardas; Matthew Liew; Malcolm D Mason; Lisa Moris; Daniela E Oprea-Lager; Henk G van der Poel; Olivier Rouvière; Ivo G Schoots; Derya Tilki; Thomas Wiegel; Peter-Paul M Willemse; Philip Cornford
Journal:  Eur Urol       Date:  2020-11-07       Impact factor: 20.096

Review 5.  Reporting and Interpreting Decision Curve Analysis: A Guide for Investigators.

Authors:  Ben Van Calster; Laure Wynants; Jan F M Verbeek; Jan Y Verbakel; Evangelia Christodoulou; Andrew J Vickers; Monique J Roobol; Ewout W Steyerberg
Journal:  Eur Urol       Date:  2018-09-19       Impact factor: 20.096

6.  ESUR/ESUI position paper: developing artificial intelligence for precision diagnosis of prostate cancer using magnetic resonance imaging.

Authors:  Tobias Penzkofer; Anwar R Padhani; Baris Turkbey; Masoom A Haider; Henkjan Huisman; Jochen Walz; Georg Salomon; Ivo G Schoots; Jonathan Richenberg; Geert Villeirs; Valeria Panebianco; Olivier Rouviere; Vibeke Berg Logager; Jelle Barentsz
Journal:  Eur Radiol       Date:  2021-05-15       Impact factor: 5.315
  6 in total

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