BACKGROUND: European Association of Urology (EAU) guidelines recommend using risk-calculators (RCs), imaging or additional biomarkers in asymptomatic men at risk of prostate cancer (PCa). OBJECTIVES: To compare the performance of mpMRI, a RC we recently developed and two commonly used RC not including mpMRI in predicting the risk of PCa, as well as the added value of mpMRI to each RC. DESIGN SETTING AND PARTICIPANTS: Single-center retrospective study evaluating 221 biopsy-naïve patients who underwent prebiopsy mpMRI. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: Patients' probabilities of any PCa and clinically significant PCa (csPC, defined as Gleason-Score ≥3 + 4) were computed according to mpMRI, European Randomized Study of Screening for Prostate Cancer RC (ERSPC-RC), the Prostate Biopsy Collaborative Group RC (PBCG-RC) and the Foggia Prostate Cancer RC (FPC-RC). Logistic regression, AUC, and Decision curve analysis (DCA) were used to assess the accuracy of tested models. RESULTS AND LIMITATION: The FPC-RC outperformed mpMRI in diagnosing both any PCa (AUC 0.76 vs 0.69) and csPCa (AUC 0.80 vs 0.75). Conversely mpMRI showed a higher accuracy in predicting any PCa compared to the PBCG-RC and the ERSPC-RC but similar performances in predicting csPCa. At multivariable analysis predicting csPCa and any PCa, the addition of mpMRI findings improved the accuracy of each calculator. DCA showed that the FPC-RC provided a greater net benefit than mpMRI and the other RCs. The addition of mpMRI findings improved the net benefit provided by each calculator. CONCLUSIONS: mpMRI was outperformed by the novel FPC-RC and showed similar performances compared to the PBCG and ERSPC RCs in predicting csPCa. The addition of mpMRI findings improved the diagnostic accuracy of each of these calculators.
BACKGROUND: European Association of Urology (EAU) guidelines recommend using risk-calculators (RCs), imaging or additional biomarkers in asymptomatic men at risk of prostate cancer (PCa). OBJECTIVES: To compare the performance of mpMRI, a RC we recently developed and two commonly used RC not including mpMRI in predicting the risk of PCa, as well as the added value of mpMRI to each RC. DESIGN SETTING AND PARTICIPANTS: Single-center retrospective study evaluating 221 biopsy-naïve patients who underwent prebiopsy mpMRI. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: Patients' probabilities of any PCa and clinically significant PCa (csPC, defined as Gleason-Score ≥3 + 4) were computed according to mpMRI, European Randomized Study of Screening for Prostate Cancer RC (ERSPC-RC), the Prostate Biopsy Collaborative Group RC (PBCG-RC) and the Foggia Prostate Cancer RC (FPC-RC). Logistic regression, AUC, and Decision curve analysis (DCA) were used to assess the accuracy of tested models. RESULTS AND LIMITATION: The FPC-RC outperformed mpMRI in diagnosing both any PCa (AUC 0.76 vs 0.69) and csPCa (AUC 0.80 vs 0.75). Conversely mpMRI showed a higher accuracy in predicting any PCa compared to the PBCG-RC and the ERSPC-RC but similar performances in predicting csPCa. At multivariable analysis predicting csPCa and any PCa, the addition of mpMRI findings improved the accuracy of each calculator. DCA showed that the FPC-RC provided a greater net benefit than mpMRI and the other RCs. The addition of mpMRI findings improved the net benefit provided by each calculator. CONCLUSIONS: mpMRI was outperformed by the novel FPC-RC and showed similar performances compared to the PBCG and ERSPC RCs in predicting csPCa. The addition of mpMRI findings improved the diagnostic accuracy of each of these calculators.
Authors: Ethan Wajswol; Jared S Winoker; Harry Anastos; Ugo Falagario; Kennedy Okhawere; Alberto Martini; Patrick-Julien Treacy; Nicholas Voutsinas; Cynthia J Knauer; John P Sfakianos; Sara C Lewis; Bachir A Taouli; Ardeshir R Rastinehad Journal: BJU Int Date: 2019-12-23 Impact factor: 5.588
Authors: Jan Philipp Radtke; Manuel Wiesenfarth; Claudia Kesch; Martin T Freitag; Celine D Alt; Kamil Celik; Florian Distler; Wilfried Roth; Kathrin Wieczorek; Christian Stock; Stefan Duensing; Matthias C Roethke; Dogu Teber; Heinz-Peter Schlemmer; Markus Hohenfellner; David Bonekamp; Boris A Hadaschik Journal: Eur Urol Date: 2017-04-08 Impact factor: 20.096
Authors: Pim J van Leeuwen; Andrew Hayen; James E Thompson; Daniel Moses; Ron Shnier; Maret Böhm; Magdaline Abuodha; Anne-Maree Haynes; Francis Ting; Jelle Barentsz; Monique Roobol; Justin Vass; Krishan Rasiah; Warick Delprado; Phillip D Stricker Journal: BJU Int Date: 2017-03-31 Impact factor: 5.588
Authors: Jonathan I Epstein; Lars Egevad; Mahul B Amin; Brett Delahunt; John R Srigley; Peter A Humphrey Journal: Am J Surg Pathol Date: 2016-02 Impact factor: 6.394
Authors: Arnout R Alberts; Monique J Roobol; Jan F M Verbeek; Ivo G Schoots; Peter K Chiu; Daniël F Osses; Jasper D Tijsterman; Harrie P Beerlage; Christophe K Mannaerts; Lars Schimmöller; Peter Albers; Christian Arsov Journal: Eur Urol Date: 2018-08-03 Impact factor: 20.096
Authors: Ileana Montoya Perez; Ivan Jambor; Tommi Kauko; Janne Verho; Otto Ettala; Ugo Falagario; Harri Merisaari; Aida Kiviniemi; Pekka Taimen; Kari T Syvänen; Juha Knaapila; Marjo Seppänen; Antti Rannikko; Jarno Riikonen; Markku Kallajoki; Tuomas Mirtti; Tarja Lamminen; Jani Saunavaara; Tapio Pahikkala; Peter J Boström; Hannu J Aronen Journal: J Magn Reson Imaging Date: 2019-11-21 Impact factor: 4.813
Authors: Karim Saba; Marian S Wettstein; Laura Lieger; Andreas M Hötker; Olivio F Donati; Holger Moch; Donna P Ankerst; Cédric Poyet; Tullio Sulser; Daniel Eberli; Ashkan Mortezavi Journal: J Urol Date: 2019-10-25 Impact factor: 7.450
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
Authors: Sneha Parekh; Parita Ratnani; Ugo Falagario; Dara Lundon; Deepshikha Kewlani; Jordan Nasri; Zach Dovey; Dimitrios Stroumbakis; Daniel Ranti; Ralph Grauer; Stanislaw Sobotka; Adriana Pedraza; Vinayak Wagaskar; Lajja Mistry; Ivan Jambor; Anna Lantz; Otto Ettala; Armando Stabile; Pekka Taimen; Hannu J Aronen; Juha Knaapila; Ileana Montoya Perez; Giorgio Gandaglia; Alberto Martini; Wolfgang Picker; Erik Haug; Luigi Cormio; Tobias Nordström; Alberto Briganti; Peter J Boström; Giuseppe Carrieri; Kenneth Haines; Michael A Gorin; Peter Wiklund; Mani Menon; Ash Tewari Journal: Eur Urol Open Sci Date: 2022-05-20
Authors: Ugo Giovanni Falagario; Marco Recchia; Giovanni Silecchia; Paola Milillo; Alessia Francavilla; Salvatore Mariano Bruno; Oscar Selvaggio; Gian Maria Busetto; Francesca Sanguedolce; Luca Macarini; Giuseppe Carrieri; Luigi Cormio Journal: Cent European J Urol Date: 2021-07-07
Authors: Natalia Majchrzak; Piotr Cieśliński; Tomasz Milecki; Krzysztof Twardosz; Maciej Głyda; Katarzyna Karmelita-Katulska Journal: Cent European J Urol Date: 2021-07-07