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Abstract #0106

The potential of quantitative synthetic MRI for predicting rectal cancer stage and pathological characteristics

Kangning Wang1, Lan Zhu2, Weiming Feng2, Yihan Xia2, Jiankun Dai3, Bowen Shi1, Hailin Shen4, Bei Ding2, and Huan Zhang2
1Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University of Medicine, shanghai, China, 2Ruijin Hospital, Shanghai Jiao Tong University of Medicine, shanghai, China, 3GE Healthcare, Beijing, China, 4Department of Radiology, Suzhou Kowloon Hospital, Suzhou, China

Synopsis

Keywords: Cancer, Quantitative Imaging, rectal caner; staging

Motivation: Previous studies showed quantitative synthetic MRI (qsMRI) can predict pathological features of various tumors. However, its value for predicting rectal cancer (RC) stage and pathological characteristics remains unclear.

Goal(s): Investigating if qsMRI can predict pTN stage and pathological characteristics of RC.

Approach: 101 RC patients were enrolled. T1-relaxometry (T1RT), T2-relaxometry (T2RT), and proton density (PD) maps were obtained from qsMRI. The T1RT, T2RT and PD of lesion were analyzed.

Results: T1RT was significantly different between pT1-2 and pT3-4, and between pN0 and pN1-2. pN1-2 had significantly higher PD than pN0. The T1RT was significantly superior to subjective assessment for discriminating pN0 from pN1-2.

Impact: The standard MRI performs poorly in N staging. Our study showed qsMRI was significantly superior to subjective assessment for differentiating advanced N stage RC patients. Therefore, qsMRI may be used as non-invasive imaging technique for evaluating and managing RC patients.

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