Optimization of clinical risk‐factor interpretation and radiological findings with machine learning for PIRADS category 3 patients
Abstract
Due to the low cancer-detection rate in patients with PIRADS category 3 lesions, we created machine learning (ML) models to facilitate decision-making about whether to perform prostate biopsies or monitor clinical information without biopsy results.In our retrospective, single-center study, 101 eligible patients with at least one PIRADS category 3 lesion but no higher PIRADS lesions underwent MRI/US fusion biopsies between September 2017 and...
Paper Details
Title
Optimization of clinical risk‐factor interpretation and radiological findings with machine learning for PIRADS category 3 patients
Published Date
Nov 15, 2021
Journal
Volume
82
Issue
2
Pages
235 - 244
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