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Abstract #1908

Quantitative synthetic MRI for pretreatment prediction of chemoradiotherapy response in advanced nasopharyngeal carcinoma

Peng Wang1, Jiankun Dai2, Heng Zhang1, and Shudong Hu1
1Affiliated Hospital of Jiangnan University, Wuxi, China, 2GE Healthcare, Beijing, China

Synopsis

Keywords: Head & Neck/ENT, Head & Neck/ENT, nasopharyngeal carcinoma, synthetic magnetic resonance imaging, chemoradiotherapy response

Motivation: About 10%~30% of advanced nasopharyngeal carcinoma (ANPC) remained residual and relapse after chemoradiotherapy (CRT), so it would be valuable to pretreatment prediction of no-response ANPC.

Goal(s): Quantitative syMRI parameters for predicting no-response ANPC before CRT.

Approach: 95 response and 32 no-response ANPC were enrolled, and the T1, T2, PD values from syMRI and clinicopathological characteristics were compared. Logistic regression was used to construct prediction model.

Results: T1, T2, PD values were significantly lower in no-response ANPC. The combination of T1, T2, PD can achieve good prediction performance (AUC=0.897). The syMRI combined with clinicopathological characteristics can improve prediction performance (AUC=0.974).

Impact: Our study suggested syMRI can non-invasively identify no-response ANPC patients before CRT. Therefore, the application of syMRI would be beneficial for treatment selection and management of ANPC patients.

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