ArticleAbdominal radiology (New York)2026
DCE-MRI histogram analysis for predicting survival in patients with epithelial ovarian carcinoma.
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 evaluate the potential of dynamic contrast-enhanced MRI (DCE-MRI) histogram analysis for predicting overall survival (OS) in epithelial ovarian cancer (EOC) patients.
methodsThis retrospective study included 155 patients with EOC who underwent pretreatment DCE-MRI. Histogram features extracted from DCE-MRI parametric maps were selected using least absolute shrinkage and selection operator (LASSO) Cox regression, with selection stability assessed across 200 bootstrap replicates. Clinical, imaging, and combined models were developed using Cox regression and random survival forest (RSF). Apparent concordance indices (C-indices) were calculated and corrected for optimism using 100 bootstrap resamples with fixed predictor sets. Exploratory Kaplan-Meier analyses assessed risk-group separation, and SHapley Additive exPlanations (SHAP) analysis was used for model interpretation.
resultsMedian OS was 54 months. The 10th percentile of K
conclusionDCE-MRI histogram features, particularly the 10th percentile of K
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