RSNA 2021 Imaging Informatics Preview

Deep-learning tool triages women with decreased breast density

By Amerigo Allegretto, AuntMinnie.com staff writer

Wednesday, December 1 | 3:00 p.m.-4:00 p.m. | SSBR09-4 | Room S406B
In this Wednesday talk, researchers will present findings from their study of nearly 2,700 women that used a convolutional neural network in predicting mammographic density percentage from MRI scans.

Bas van der Velden, PhD, from University Medical Center Utrecht will talk about how the deep-learning tool (VolparaDensity version 1.5, Volpara Health) showed high specificity in correctly triaging more than half the number of women with decreased breast density, switching them from receiving MRI-only screening to receive mammographic screening.

The team included 4,300 MRI exams and trained their network through two screening rounds.

"AI-based triaging of women with extremely dense breasts from MRI-only screening back to mammography screening is feasible, enabling radiologists to reduce workload and reallocate resources," the study authors wrote.

Find out more about the network's performance in this session.


Copyright © 2021 AuntMinnie.com

Last Updated er 11/18/2021 4:18:53 PM