ArticleNeurosurgical review2025
A novel dose-dependent predictor for hematoma expansion on non-contrast CT: the number of black hole signs in spontaneous intracerebral hemorrhage.
Article in Neurosurgical review, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- Research on predicting risk factors for re-bleeding in the acute phase of intracerebral hemorrhage using machine learning algorithms.Frontiers in medicine · 2026Article
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4 authors.
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Abstract
Hematoma expansion (HE) is strongly associated with serious neurological deficits after intracerebral hemorrhage (ICH). We aim to explore whether the number of black hole signs (BHS) might predict HE in patients with ICH. We retrospectively collected a total of 198 patients who suffered from spontaneous ICH at The Second Affiliated Hospital of Chongqing Medical University between August 2015 and August 2024. The number of BHS on admission head non-contrast computed tomography (NCCT) performed within 6 h after onset of symptoms was calculated. HE was determined based on follow-up CT within 48 h. Logistic regression analyses were applied to assess the association of clinical and radiological parameters with HE. Subgroup analyses were performed to exclude confounding factors. In addition, the number of BHS and other factors that may contribute to HE prediction was analyzed using receiver operating characteristic (ROC) analysis and decision curve analysis (DCA). We retrospectively analyzed clinical and imaging data from 198 patients with spontaneous ICH. The odds ratio (OR) of the number of BHS in predicting HE was 7.539 (95% CI 3.427 to 16.588, P < 0.001) after adjusted. The area under the ROC curve of the number of BHS was 0.737, which showed high value in predicting HE. The number of BHS on admission NCCT provides the first exploratory dose-dependent predictor of HE, enabling individualized risk stratification.
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