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Abstract #3632

T2-weighted image radiomics nomogram to predict pancreatic serous and mucinous cystic neoplasms

Xu Fang1, Yun Bian1, Li Wang1, Chengwei Shao1, and Jianping Lu1
1Radiology, Changhai Hospital of Shanghai, Shanghai, China

Synopsis

Keywords: Pancreas, Pancreas

Motivation: Cystic fluid appears hyperintense via T2WI, the most sensitive detection method and T2WI is a conventional sequence. However, distinguishing pancreatic MCNs from SCNs using T2WI is difficult because both neoplasms appear as hyperintense lesions, especially when both are unilocular.

Goal(s): We aimed to develop and validate a T2WI radiomics nomogram for the differentiation of SCNs from MCNs.

Approach: A radiomics model that was included clinical characteristics, MRI characteristics, and T2WI rad-scores for differentiating MCNs from SCN.

Results: We developed and validated a T2WI radiomics nomogram that functions as a non-invasive and convenient tool for preoperatively predicting the presence of SCNs and MCNs.

Impact: The tool has the potential to help clinicians identify patients requiring surveillance or surgery.

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