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Abstract #1985

Radiomics-Based Multiparametric MRI for Differentiating Luminal A and Luminal B Breast Cancer: A Multi-Center Study

Hui Zhou1, Dao yu Yang2, Xian chun Zeng3, Xu dong Liu4, and Lin Wei5
1The Affiliated Jinyang Hospital of Guizhou Medical University, gui yang, China, 2Guizhou University, gui yang, China, 3Guizhou Provincial People's Hospital, gui yang, China, 4The Second People's Hospital of Guiyang(Jinyang Hospital), gui yang, China, 5Zunyi First People's Hospital, gui yang, China

Synopsis

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.

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