Prediction of malignancy upgrade rate in high-risk breast lesions using an artificial intelligence model: a retrospective study.
Journal:
Diagnostic and interventional radiology (Ankara, Turkey)
Published Date:
Jan 24, 2023
Abstract
PURPOSE: High-risk breast lesions (HRLs) are associated with future risk of breast cancer. Considering the pathological subtypes, malignancy upgrade rate differs according to each subtype and depends on various factors such as clinical and radiological features and biopsy method. Using artificial intelligence and machine learning models in breast imaging, evaluations can be made in terms of risk estimation in different research areas. This study aimed to develop a machine learning model to distinguish HRL cases requiring surgical excision from lesions with a low risk of accompanying malignancy.