Construction Model and Validation of Microsatellite Instability Nomogram in Colorectal Cancer Based on Clinicopathological Features and Dynamic Contrast-Enhanced MRI Parameters
Objective:To explore the predictive value of nomogram(Nomogram)prediction model based on clinicopathological features and dynamic contrast-enhanced magnetic resonance imaging(MRI)parameters for microsatellite instability in colorectal cancer(CRC).Methods:335 CRC patients underwent dynamic contrast-enhanced MRI before operation,who were divided into microsatellite stable group(n=243)and microsatellite unstable group(n=92)according to the test results.The influencing factors of microsatellite insta-bility in CRC patients were analyzed by univariate and multivariate Logistic regression analysis.Nomogram prediction model of mi-crosatellite instability in CRC patients was constructed.The predictive efficacy of the Nomogram prediction model for microsatellite in-stability in CRC patients were evaluated by receiver operating characteristic(ROC)curve.Results:The volume transfer constant(Ktrans),rate constant(Kep)and area under the initial enhancement curve(iAUC)in microsatellite instability group were lower than those in mi-crosatellite stability group,the proportion of moderate/low differentiation,cancer nodules and lymph node metastasis in microsatellite in-stability group were higher than those in microsatellite stability group(P＜0.05).Elevated Ktrans,Kep,and iAUC were protective factors for microsatellite instability in CRC patients,moderate/low differentiation,cancer nodules,and lymph node metastasis were risk factors for microsatellite instability in CRC patients(P＜0.05).The prediction curve of the Nomogram prediction model was in good agreement with the ideal curve,ROC curve analysis showed that,the area under the curve(AUC)of the model for predicting microsatellite instability in CRC patients was 0.938.Conclusion:The increase of Ktrans,Kepand iAUC are all protective factor for microsatellite instability in CRC patients,moderate/low differentiation,cancer nodules and lymph node metastasis are risk factors for microsatellite instability in CRC patients,the Nomogram prediction model based on the above influencing factors has a high predictive value for microsatellite instability in CRC patients.
Colorectal cancerDynamic contrast-enhanced magnetic resonance imaging parametersClinicopathological featuresMicrosatellite instabilityNomogram prediction model
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