Factors associated with early hematoma expansion in intracerebral hemorrhage and the value of non-contrast computed tomography imaging features combined with clinical data for early identification
Abstract
PURPOSE: Early hematoma expansion (HE) after intracerebral hemorrhage (ICH) critically affects patient outcomes. Identifying HE risk using emergency non-contrast computed tomography (NCCT) features and clinical data is important for early risk stratification and evaluation. This study analyzed factors associated with early HE and evaluated the value of NCCT features combined with clinical data for HE identification. METHODS: A total of 571 patients with spontaneous supratentorial ICH admitted between January 2022 and December 2025 were enrolled. Five NCCT signs were evaluated at baseline. Four signs significantly associated with HE (black hole, swirl, blend, and satellite signs) were summed to construct a primary comprehensive sign score (0-4); a 5-sign score additionally including the island sign was examined in a sensitivity analysis. Patients were stratified by HE status, sign score quantiles, sex, and hematoma morphology, then randomly assigned to training (n = 391) and validation (n = 180) sets. Univariate and multivariate logistic regression identified independent HE factors and constructed a combined prediction model. Model performance was evaluated using receiver operating characteristic curves, calibration curves, and decision curve analysis (DCA). HE was defined as an absolute volume increase > 6 mL or a relative increase > 33% on follow-up CT compared with baseline CT. RESULTS: = 0.283). Calibration and DCA were broadly comparable between models. CONCLUSION: A 4-sign comprehensive imaging score, irregular hematoma morphology, time from onset to initial CT, male sex, and baseline CT attenuation were independently associated with early HE in patients with ICH. CLINICAL SIGNIFICANCE: A model based on NCCT features combined with clinical data may provide a practical adjunct for early HE risk stratification in patients with ICH.
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Authors: Jun Ding, Ying Shao, ChunHong Meng
Institutions: Wannan Medical College, First Affiliated Hospital of Wannan Medical College