Keywords: Breast, Radiomics
Motivation: This study aims to improve the non-invasive classification of Luminal A and Luminal B breast cancer subtypes using a multiparametric radiomics model integrating T2WI, DWI, and DCE-MRI.
Goal(s): The goal is to improve non-invasive breast cancer classification using a multiparametric radiomics model.
Approach: This study analyzed T2WI, DWI, and DCE-MRI data from 130 patients, developing a model evaluated with AUC, DCA, and DeLong test.
Results: The multiparametric model achieved AUCs of 0.9625, 0.8276, and 0.8750 in the training and test sets, outperforming single-sequence models in accuracy and clinical benefit. DeLong test confirmed significant differences, supporting the superior performance of the combined approach.
Impact: This study enhances breast cancer diagnosis by providing a noninvasive method to differentiate Luminal A and Luminal B subtypes. This could potentially improve clinical decision-making and enable personalized treatment plans for patients.
How to access this content:
For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.
After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.
After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.
Keywords