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

ConclusionThe combined model provides an efficient tool for predicting the MSI status of GC noninvasively and tumor recurrence risk stratification after surgery.Critical relevance statementMSI is an important molecular subtype in gastric cancer (GC). But MSI can only be evaluated using biopsy or postoperative tumor tissues. Our study developed a combined model based on DLCT which could effectively predict MSI preoperatively. Our result also showed that the combined model could stratify patients according to recurrence-free survival. It may be valuable for clinicians in choosing appropriate treatment strategies to avoid tumor recurrence and predicting clinical prognosis in GC.Key points• Tumor location and CT_N staging were independent predictors for MSI-H in GC.• Quantitative DLCT parameters showed potential in predicting MSI status in GC.• The combined model integrating clinico-radiologic features and CDLCT could improve the predictive performance.• The prediction results could stratify the risk of tumor recurrence after surgery.Graphical Abstract
Source: Insights into Imaging - Category: Radiology Source Type: research