Literature DB >> 31596184

Detecting Prostate Cancer with Deep Learning for MRI: A Small Step Forward.

Anwar R Padhani1, Baris Turkbey1.   

Abstract

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Year:  2019        PMID： 31596184      PMCID： PMC6884063          DOI： 10.1148/radiol.2019192012

Source DB:  PubMed          Journal:  Radiology        ISSN： 0033-8419            Impact factor:   11.105


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  8 in total

Review 1.  PI-RADS Steering Committee: The PI-RADS Multiparametric MRI and MRI-directed Biopsy Pathway.

Authors:  Anwar R Padhani; Jelle Barentsz; Geert Villeirs; Andrew B Rosenkrantz; Daniel J Margolis; Baris Turkbey; Harriet C Thoeny; François Cornud; Masoom A Haider; Katarzyna J Macura; Clare M Tempany; Sadhna Verma; Jeffrey C Weinreb
Journal:  Radiology       Date:  2019-06-11       Impact factor: 11.105

2.  High Diagnostic Performance of Short Magnetic Resonance Imaging Protocols for Prostate Cancer Detection in Biopsy-naïve Men: The Next Step in Magnetic Resonance Imaging Accessibility.

Authors:  Marloes van der Leest; Bas Israël; Erik Bastiaan Cornel; Patrik Zámecnik; Ivo G Schoots; Hans van der Lelij; Anwar R Padhani; Maroeska Rovers; Inge van Oort; Michiel Sedelaar; Christina Hulsbergen-van de Kaa; Gerjon Hannink; Jeroen Veltman; Jelle Barentsz
Journal:  Eur Urol       Date:  2019-06-02       Impact factor: 20.096

3.  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

4.  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

5.  Multiparametric magnetic resonance imaging of the prostate with computer-aided detection: experienced observer performance study.

Authors:  Valentina Giannini; Simone Mazzetti; Enrico Armando; Silvia Carabalona; Filippo Russo; Alessandro Giacobbe; Giovanni Muto; Daniele Regge
Journal:  Eur Radiol       Date:  2017-04-06       Impact factor: 5.315

6.  Prostate cancer detection with biparametric magnetic resonance imaging (bpMRI) by readers with different experience: performance and comparison with multiparametric (mpMRI).

Authors:  Marco Gatti; Riccardo Faletti; Giorgio Calleris; Jacopo Giglio; Claudio Berzovini; Francesco Gentile; Giancarlo Marra; Francesca Misischi; Luca Molinaro; Laura Bergamasco; Paolo Gontero; Mauro Papotti; Paolo Fonio
Journal:  Abdom Radiol (NY)       Date:  2019-05

Review 7.  Prostate Imaging Reporting and Data System Version 2.1: 2019 Update of Prostate Imaging Reporting and Data System Version 2.

Authors:  Baris Turkbey; Andrew B Rosenkrantz; Masoom A Haider; Anwar R Padhani; Geert Villeirs; Katarzyna J Macura; Clare M Tempany; Peter L Choyke; Francois Cornud; Daniel J Margolis; Harriet C Thoeny; Sadhna Verma; Jelle Barentsz; Jeffrey C Weinreb
Journal:  Eur Urol       Date:  2019-03-18       Impact factor: 20.096

8.  Can computer-aided diagnosis assist in the identification of prostate cancer on prostate MRI? a multi-center, multi-reader investigation.

Authors:  Sonia Gaur; Nathan Lay; Stephanie A Harmon; Sreya Doddakashi; Sherif Mehralivand; Burak Argun; Tristan Barrett; Sandra Bednarova; Rossanno Girometti; Ercan Karaarslan; Ali Riza Kural; Aytekin Oto; Andrei S Purysko; Tatjana Antic; Cristina Magi-Galluzzi; Yesim Saglican; Stefano Sioletic; Anne Y Warren; Leonardo Bittencourt; Jurgen J Fütterer; Rajan T Gupta; Ismail Kabakus; Yan Mee Law; Daniel J Margolis; Haytham Shebel; Antonio C Westphalen; Bradford J Wood; Peter A Pinto; Joanna H Shih; Peter L Choyke; Ronald M Summers; Baris Turkbey
Journal:  Oncotarget       Date:  2018-09-18
  8 in total
  7 in total

1.  Robotic-assisted transrectal MRI-guided biopsy. Technical feasibility and role in the current diagnosis of prostate cancer: an initial single-center experience.

Authors:  Joan C Vilanova; Anna Pérez de Tudela; Josep Puig; Martijn Hoogenboom; Joaquim Barceló; Montse Planas; Sònia Sala; Santiago Thió-Henestrosa
Journal:  Abdom Radiol (NY)       Date:  2020-07-23

Review 2.  Delivering Clinical impacts of the MRI diagnostic pathway in prostate cancer diagnosis.

Authors:  Ivo G Schoots; Anwar R Padhani
Journal:  Abdom Radiol (NY)       Date:  2020-12

3.  Deep Learning in Prostate Cancer Diagnosis Using Multiparametric Magnetic Resonance Imaging With Whole-Mount Histopathology Referenced Delineations.

Authors:  Danyan Li; Xiaowei Han; Jie Gao; Qing Zhang; Haibo Yang; Shu Liao; Hongqian Guo; Bing Zhang
Journal:  Front Med (Lausanne)       Date:  2022-01-13

4.  Machine and Deep Learning Prediction Of Prostate Cancer Aggressiveness Using Multiparametric MRI.

Authors:  Elena Bertelli; Laura Mercatelli; Chiara Marzi; Eva Pachetti; Michela Baccini; Andrea Barucci; Sara Colantonio; Luca Gherardini; Lorenzo Lattavo; Maria Antonietta Pascali; Simone Agostini; Vittorio Miele
Journal:  Front Oncol       Date:  2022-01-13       Impact factor: 6.244

Review 5.  Machine Learning in Prostate MRI for Prostate Cancer: Current Status and Future Opportunities.

Authors:  Huanye Li; Chau Hung Lee; David Chia; Zhiping Lin; Weimin Huang; Cher Heng Tan
Journal:  Diagnostics (Basel)       Date:  2022-01-24

6.  Fully automated detection and localization of clinically significant prostate cancer on MR images using a cascaded convolutional neural network.

Authors:  Lina Zhu; Ge Gao; Yi Zhu; Chao Han; Xiang Liu; Derun Li; Weipeng Liu; Xiangpeng Wang; Jingyuan Zhang; Xiaodong Zhang; Xiaoying Wang
Journal:  Front Oncol       Date:  2022-09-29       Impact factor: 5.738

7.  Improving workflow in prostate MRI: AI-based decision-making on biparametric or multiparametric MRI.

Authors:  Andreas M Hötker; Raffaele Da Mutten; Anja Tiessen; Ender Konukoglu; Olivio F Donati
Journal:  Insights Imaging       Date:  2021-08-09
  7 in total

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