A Model for Predicting Clinically Significant Prostate Cancer Using Prostate MRI and Risk Factors.

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Bibliographic Details
Title: A Model for Predicting Clinically Significant Prostate Cancer Using Prostate MRI and Risk Factors.
Authors: Lacson R; Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts; Associate Director, Center for Evidence-Based Imaging, Brigham and Women's Hospital, Boston, Massachusetts. Electronic address: rlacson@bwh.harvard.edu., Haj-Mirzaian A; Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts., Burk K; Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts; Quality and Patient Safety Officer, Mass General Brigham, Boston, Massachusetts., Glazer DI; Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts; Medical Director of CT and Director, Cross-Sectional Interventional Radiology, Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts., Naik S; Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts., Khorasani R; Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts; Vice Chair, Radiology Quality and Safety, Mass General Brigham, Boston, Massachusetts; and Vice Chair of Radiology, Distinguished Chair, Medical Informatics, and Director, Center for Evidence-Based Imaging, Brigham and Women's Hospital, Boston, Massachusetts., Kibel AS; Harvard Medical School, Boston, Massachusetts; Department of Surgery and Chair, Department of Urology, Brigham and Women's Hospital, Boston, Massachusetts.
Source: Journal of the American College of Radiology : JACR [J Am Coll Radiol] 2024 Sep; Vol. 21 (9), pp. 1419-1427. Date of Electronic Publication: 2024 May 06.
Publication Type: Journal Article; Validation Study
Journal Info: Publisher: Elsevier Country of Publication: United States NLM ID: 101190326 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1558-349X (Electronic) Linking ISSN: 15461440 NLM ISO Abbreviation: J Am Coll Radiol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1558-349X
DOI:10.1016/j.jacr.2024.02.035