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

Synopsis

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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