Early Detection of Breast Cancer in MRI Using AI.

ABSTRACT:

Rationale and objectives

To develop and evaluate an AI algorithm that detects breast cancer in MRI scans up to one year before radiologists typically identify it, potentially enhancing early detection in high-risk women.

Materials and methods

A convolutional neural network (CNN) AI model, pre-trained on breast MRI data, was fine-tuned using a retrospective dataset of 3029 MRI scans from 910 patients. These contained 115 cancers that were diagnosed within one year of a negative MRI. The model aimed to identify these cancers, with the goal of predicting cancer development up to one year in advance. The network was fine-tuned and tested with 10-fold cross-validation. Mean age of patients was 52 years (range, 18-88 years), with average follow-up of 4.3 years (range 1-12 years).<

SUBMITTER: Hirsch L 

PROVIDER: S-EPMC11875922 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature