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Abstract #0126

DR-CSI for In Vivo Tumor Heterogeneity and Lymph Node Metastasis Prediction in Oral Tongue Squamous Cell Carcinoma

Yongming Dai1, Siyu Li2, Wentao Hu3, Dongmei Wu4, Peng Hu1, and Yingwei Wu2
1School of Biomedical Engineering, ShanghaiTech University, Shanghai, China, 2Department of Radiology, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China, 3Department of Radiology, Renji hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China, 4Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, China

Synopsis

Keywords: Microstructure, Diffusion Analysis and Visualization, Tumor microstruatre and heterogeneity

Motivation: Preoperative assessment of cervical lymph node metastasis (CLNM) is critical for prognosis and treatment in oral tongue squamous cell carcinoma (OTSCC), but current imaging methods lack the precision to capture tumor microstructure accurately.

Goal(s): We aimed to assess the feasibility of DR-CSI in characterizing tumor heterogeneity and predicting CLNM in OTSCC.

Approach: We enrolled 57 OTSCC patients who underwent DR-CSI, segmenting D-T2 spectra into five subregions. We compared DR-CSI volume fractions to differentiate normal tissue, CLNM-negative, and CLNM-positive groups.

Results: DR-CSI metrics, especially VB and VD, distinguished CLNM-positive cases and outperformed ADC in predicting CLNM.

Impact: DR-CSI enables detailed in vivo mapping of tumor microstructure in OTSCC, facilitating precise lymph node metastasis prediction and offering a powerful tool for non-invasive risk stratification. Its use could improve staging accuracy and optimize treatment planning for OTSCC.

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