Clinico-radiological characteristic-based machine learning in reducing unnecessary prostate biopsies of PI-RADS 3 lesions with dual validation.
Journal:
European radiology
PMID:
32524222
Abstract
OBJECTIVE: To evaluate machine learning-based classifiers in detecting clinically significant prostate cancer (PCa) with Prostate Imaging Reporting and Data System (PI-RADS) score 3 lesions.
Authors
Keywords
Aged
Aged, 80 and over
Area Under Curve
Decision Trees
Humans
Image-Guided Biopsy
Logistic Models
Machine Learning
Male
Middle Aged
Multiparametric Magnetic Resonance Imaging
Prostate
Prostate-Specific Antigen
Prostatic Neoplasms
Radiography
Reproducibility of Results
Retrospective Studies
ROC Curve
Support Vector Machine
Ultrasonography
Unnecessary Procedures
Validation Studies as Topic