A Prostate Imaging‐Reporting and Data System version 2.1‐based predictive model for clinically significant prostate cancer diagnosis

Objectives To develop and validate a Prostate Imaging‐Reporting and Data System (PI‐RADS) version 2.1 (v2.1)‐based predictive model for diagnosis of clinically significant prostate cancer (csPCa), integrating clinical and multiparametric magnetic resonance imaging (mpMRI) data, and compare its perfo...

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Vydané v:	BJU international Ročník 135; číslo 5; s. 751 - 759
Hlavní autori:	Gelikman, David G., Azar, William S., Yilmaz, Enis C., Lin, Yue, Shumaker, Luke A., Fang, Andrew M., Harmon, Stephanie A., Huang, Erich P., Parikh, Sahil H., Hyman, Jason A., Schuppe, Kyle, Nix, Jeffrey W., Galgano, Samuel J., Merino, Maria J., Choyke, Peter L., Gurram, Sandeep, Wood, Bradford J., Rais‐Bahrami, Soroush, Pinto, Peter A., Turkbey, Baris
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	England Wiley Subscription Services, Inc 01.05.2025 John Wiley and Sons Inc
Predmet:	Aged Biopsy Clinical significance Diagnosis Humans Magnetic resonance imaging Male Middle Aged Multiparametric Magnetic Resonance Imaging Original Patients Prediction models Predictive Value of Tests Prostate - diagnostic imaging Prostate - pathology Prostate cancer prostatic neoplasms Prostatic Neoplasms - diagnostic imaging Prostatic Neoplasms - pathology Retrospective Studies risk assessment statistical model biopsy risk assessment magnetic resonance imaging statistical model prostatic neoplasms
ISSN:	1464-4096, 1464-410X, 1464-410X
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