ArticleAbdominal radiology (New York)2026
Baseline dual-layer spectral CT-based habitat analysis for preoperative prediction of recurrence in pancreatic cancer after radical resection and its association with tumor-stroma ratio.
Article in Abdominal radiology (New York), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
purposeTo investigate the value of habitat imaging employing baseline dual-layer spectral CT (DLCT) for preoperative prediction of recurrence in pancreatic ductal adenocarcinoma (PDAC) after radical resection, and explore the relationship with pathological tumor-stroma ratio (TSR).
methodsResectable PDAC patients underwent multiphase DLCT examinations preoperatively were retrospectively enrolled and randomly allocated into training and validation cohorts. Extracellular volume (ECV) fraction and arterial enhancement fraction (AEF) maps were generated using spectral-based images. Voxels of tumor from ECV and AEF maps were clustered into different habitats through K-means algorithm. Habitat quantitative parameters were extracted. Clinical-radiological, habitat, and combined models for predicting recurrence free survival (RFS) were constructed using Cox regression analyses. Model performance was assessed through c-index and time-dependent receiver operating characteristic (ROC) analysis. Kaplan-Meier method was used to assess recurrence rate. Spearman's correlation analysis and multiple linear regression were used to evaluate the relationship between TSR and habitat parameters and build prediction model.
resultsA total of 136 patients were finally included. The fraction of habitat 1 (f
conclusionThe combined model, integrating habitat quantitative parameters, CA19-9 and rim-enhancement, provides a noninvasive approach for predicting the risk of recurrence in PDAC preoperatively. Habitat quantitative parameters could be used to quantitative predict pathological TSR noninvasively.
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