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Abstract #5036

Habitat-based radiomics analysis utilizing Synthetic MRI for the prediction of lymph node metastasis in oral cancer

Rui Wang1, Yong Zhang2, Jie Shi2, Ying Yuan1, and Xiaofeng Tao1
1Department of Radiology, Shanghai Ninth People’s Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China, 2MR Research, GE HealthCare, Shanghai, China

Synopsis

Keywords: Head & Neck/ENT, Radiomics, Lymph node metastasis, Oral Cancer, Synthetic MRI, Habitat Analysis

Motivation: Current methods for assessing lymph node metastasis preoperatively are insufficient in providing precise and time-efficient evaluations.

Goal(s): To develop a habitat-based radiomics model for predicting lymph node metastasis in oral cancer using Synthetic MRI (SyMRI).

Approach: 101 oral cancer patients were included. Radiomics models for the entire tumor, intratumor, and peritumor regions were developed using synthetic quantitative images. A nomogram was constructed by integrating the radiomics score and MRI reported status.

Results: The habitat-based radiomics signature, which integrated both intra- and peritumoral features based on quantitative T1 and T2 maps, showed enhanced predictive capability for preoperative lymph node metastasis.

Impact: This habitat-based radiomics model improves accuracy in predicting lymph node metastasis in oral cancer, aiding clinical decision-making and patient management.

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