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Abstract #2023

Breast cancer: Intravoxel incoherent movement-based habitat imaging for predicting pathologic complete response to neoadjuvant chemotherapy

Muzhen He1, Mengzhou Sun2, and Xiaoyun Liang2
1Shengli Clinical College of Fujian Medical University & Department of Radiology, Fujian provincial hospital, Fuzhou University Affiliated Provincial Hospital, Fuzhou 350001, China, China, 2Institute of Research and Clinical Innovations, Neusoft Medical Systems Co., Ltd, Beijing, China, Beijing, China

Synopsis

Keywords: IVIM, Breast

Motivation: Radiomics research based on whole tumors is limited by the unclear biological significance of radiomics features, which therefore lack clinical interpretability.

Goal(s): We aimed to determine whether features extracted from subregions defined by habitat imaging could identify breast cancer patients who will benefit from neoadjuvant chemotherapy (NAC).

Approach: We builded models for predicting pCR based on whole-tumor radiomics (ModelWH), intravoxel incoherent motion-based habitat imaging (ModelHabitats), conventional MRI features (ModelCF), and immunohistochemical findings (ModelIHC).

Results: In the prediction of pCR, ModelWH, ModelHabitats, ModelCF, ModelIHC, ModelHabitats+CF, and ModelHabitats+CF+IHC achieved AUCs of 0.549, 0.708, 0.700, 0.788, 0.745, and 0.891 respectively, in the test set.

Impact: The habitat model combined with conventional MRI features and IHC findings accurately predicted pCR before NAC.

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