Literature DB >> 30063185

Quantitative MRI or Machine Learning for Prostate MRI: Which Should You Use?

Peter L Choyke1.   

Abstract

Mesh:

Year:  2018        PMID: 30063185      PMCID: PMC6166866          DOI: 10.1148/radiol.2018181304

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


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  6 in total

1.  Artificial Intelligence and Machine Learning in Radiology: Opportunities, Challenges, Pitfalls, and Criteria for Success.

Authors:  James H Thrall; Xiang Li; Quanzheng Li; Cinthia Cruz; Synho Do; Keith Dreyer; James Brink
Journal:  J Am Coll Radiol       Date:  2018-02-04       Impact factor: 5.532

2.  Computer-aided diagnosis prior to conventional interpretation of prostate mpMRI: an international multi-reader study.

Authors:  Matthew D Greer; Nathan Lay; Joanna H Shih; Tristan Barrett; Leonardo Kayat Bittencourt; Samuel Borofsky; Ismail Kabakus; Yan Mee Law; Jamie Marko; Haytham Shebel; Francesca V Mertan; Maria J Merino; Bradford J Wood; Peter A Pinto; Ronald M Summers; Peter L Choyke; Baris Turkbey
Journal:  Eur Radiol       Date:  2018-04-12       Impact factor: 5.315

3.  Radiomic Machine Learning for Characterization of Prostate Lesions with MRI: Comparison to ADC Values.

Authors:  David Bonekamp; Simon Kohl; Manuel Wiesenfarth; Patrick Schelb; Jan Philipp Radtke; Michael Götz; Philipp Kickingereder; Kaneschka Yaqubi; Bertram Hitthaler; Nils Gählert; Tristan Anselm Kuder; Fenja Deister; Martin Freitag; Markus Hohenfellner; Boris A Hadaschik; Heinz-Peter Schlemmer; Klaus H Maier-Hein
Journal:  Radiology       Date:  2018-07-31       Impact factor: 11.105

4.  Comparison of MR/ultrasound fusion-guided biopsy with ultrasound-guided biopsy for the diagnosis of prostate cancer.

Authors:  M Minhaj Siddiqui; Soroush Rais-Bahrami; Baris Turkbey; Arvin K George; Jason Rothwax; Nabeel Shakir; Chinonyerem Okoro; Dima Raskolnikov; Howard L Parnes; W Marston Linehan; Maria J Merino; Richard M Simon; Peter L Choyke; Bradford J Wood; Peter A Pinto
Journal:  JAMA       Date:  2015-01-27       Impact factor: 56.272

5.  What Are We Missing? False-Negative Cancers at Multiparametric MR Imaging of the Prostate.

Authors:  Samuel Borofsky; Arvin K George; Sonia Gaur; Marcelino Bernardo; Matthew D Greer; Francesca V Mertan; Myles Taffel; Vanesa Moreno; Maria J Merino; Bradford J Wood; Peter A Pinto; Peter L Choyke; Baris Turkbey
Journal:  Radiology       Date:  2017-10-20       Impact factor: 11.105

6.  MRI-Targeted or Standard Biopsy for Prostate-Cancer Diagnosis.

Authors:  Veeru Kasivisvanathan; Antti S Rannikko; Marcelo Borghi; Valeria Panebianco; Lance A Mynderse; Markku H Vaarala; Alberto Briganti; Lars Budäus; Giles Hellawell; Richard G Hindley; Monique J Roobol; Scott Eggener; Maneesh Ghei; Arnauld Villers; Franck Bladou; Geert M Villeirs; Jaspal Virdi; Silvan Boxler; Grégoire Robert; Paras B Singh; Wulphert Venderink; Boris A Hadaschik; Alain Ruffion; Jim C Hu; Daniel Margolis; Sébastien Crouzet; Laurence Klotz; Samir S Taneja; Peter Pinto; Inderbir Gill; Clare Allen; Francesco Giganti; Alex Freeman; Stephen Morris; Shonit Punwani; Norman R Williams; Chris Brew-Graves; Jonathan Deeks; Yemisi Takwoingi; Mark Emberton; Caroline M Moore
Journal:  N Engl J Med       Date:  2018-03-18       Impact factor: 176.079

  6 in total
  3 in total

Review 1.  Prostate cancer screening research can benefit from network medicine: an emerging awareness.

Authors:  Valeria Panebianco; Martina Pecoraro; Giulia Fiscon; Paola Paci; Lorenzo Farina; Carlo Catalano
Journal:  NPJ Syst Biol Appl       Date:  2020-05-07

Review 2.  Machine learning applications in prostate cancer magnetic resonance imaging.

Authors:  Renato Cuocolo; Maria Brunella Cipullo; Arnaldo Stanzione; Lorenzo Ugga; Valeria Romeo; Leonardo Radice; Arturo Brunetti; Massimo Imbriaco
Journal:  Eur Radiol Exp       Date:  2019-08-07

3.  Impact of rescanning and repositioning on radiomic features employing a multi-object phantom in magnetic resonance imaging.

Authors:  Simon Bernatz; Yauheniya Zhdanovich; Jörg Ackermann; Ina Koch; Peter J Wild; Daniel Pinto Dos Santos; Thomas J Vogl; Benjamin Kaltenbach; Nicolas Rosbach
Journal:  Sci Rep       Date:  2021-07-09       Impact factor: 4.379

  3 in total

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