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Abstract #3195

Use delta-radiomics based on T2-TSE-BLADE MRI images to predict histopathological tumor regression grade in Locally Advanced Esophageal Cancer

Yun Liu1, Shuang Lu2, Chenglong Wang1, Xu Yan3, Jinrong Qu2, and Guang Yang1
1Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, China, 2Department of Radiology, The Affiliated Cancer Hospital of Zhengzhou University &Henan Cancer Hospital, Zhengzhou, China, 3MR Scientific Marketing, Siemens Healthineers, Shanghai, China


Histopathological tumor regression grade (TRG) has shown to be an important consideration for the choice of treatment plan in patients with esophagus cancer. Patients with same TNM stage may have different sensitivities to neoadjuvant chemotherapy (NAC). In this study, we proposed a new model to predict TRG grades by using the differences between radiomics features extracted from T2-TSE-BLADE images within 1 week before NAC and 3 to 4 weeks after NAC, but before surgery. This study enrolled 108 patients with esophageal cancer and underwent the mentioned MRI scans. In the test cohort, the proposed model achieved an AUC of 0.842.

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