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Abstract #3642

Radiomics based on tumor and multiple body components on MRI to predict outcome in rectal Cancer

Fu Yu1, Gao Jiayi2, Li Mingyang1, and Zhang Huimao1
1The First Hospital of Jilin University, Changchun, China, 2Dalian Municipal Central Hospital, Dalian, China

Synopsis

Keywords: Cancer, Radiomics

Motivation: In rectal cancer, the existing stratification of prognosis is mainly based on the established TNM tumor staging system, which limits clinical decision-making.

Goal(s): Construct a model to provides prognostic information preoperatively.

Approach: This study established radiomics models to predict the disease-free survival (DFS) in rectal cancer, based on tumor, and multiple body components (including mesenteric fat and pelvic skeletal muscles) in MRI.

Results: The radiomics model based on tumor and multiple body components of MRI in rectal cancer, have good predictive value for DFS in rectal cancer patients at 2 years after surgery.

Impact: The model that provides prognostic information at the time of cancer diagnosis would be useful for optimizing treatment and monitoring.

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Keywords