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Abstract #5092

Multiparametric MRI for Tumor Restaging of Locally Advanced Gastric Cancer Following Neoadjuvant Therapy

Ya-jun Hou1, Zi-tong Sang1, Qiong Li1, Wei-yue Xu1, Dominik Nickel2, Yi-Cheng Hsu3, and Xi-sheng Liu1
1Department of Radiology, the First Affiliated Hospital with Nanjing Medical University, Nanjing, China, 2MR Application Predevelopment, Siemens Healthineers AG, Erlangen, Germany, 3MR Research Collaboration Team, Siemens Healthineers Ltd., Shanghai, China

Synopsis

Keywords: Digestive, Diffusion/other diffusion imaging techniques, DCE

Motivation: Accurate presurgical restaging of tumor invasion depth (ycT stage) is critical to determining appropriate therapies and evaluating outcomes for locally advanced gastric cancer after neoadjuvant therapy. Despite the reported advantages of computed tomography, its accuracy is low, with often heterogeneous results.

Goal(s): We tested the performance of multiparametric MRI for gastric cancer tumor restaging.

Approach: Three radiologists evaluated ycT stage based on T2WI, DWI, ZOOMit DWI, and XD-VIBE DCE sequences.

Results: Multiparametric MRI provides accurate differentiation of restaging after neoadjuvant therapy. ZOOMit DWI and XD-VIBE achieved higher accuracy than did conventional T2WI and DWI in assessing ycT stage.

Impact: Multiparametric MRI is expected to improve the accuracy of restaging gastric cancer after neoadjuvant therapy and guide decision making for clinical treatment.

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Keywords