Dual-layer spectral-detector CT for predicting microsatellite instability status and prognosis in locally advanced gastric cancer.

ABSTRACT:

Objective

To construct and validate a prediction model based on dual-layer detector spectral CT (DLCT) and clinico-radiologic features to predict the microsatellite instability (MSI) status of gastric cancer (GC) and to explore the relationship between the prediction results and patient prognosis.

Methods

A total of 264 GC patients who underwent preoperative DLCT examination were randomly allocated into the training set (n = 187) and validation set (n = 80). Clinico-radiologic features and DLCT parameters were used to build the clinical and DLCT model through multivariate logistic regression analysis. A combined DLCT parameter (C_DLCT) was constructed to predict MSI. A combined prediction model was constructed using multivariate logistic regression analysis by inte

SUBMITTER: Zhu Y 

PROVIDER: S-EPMC10509117 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature