ArticleMedical science monitor : international medical journal of experimental and clinical research2018
Comparison of Swirl Sign and Black Hole Sign in Predicting Early Hematoma Growth in Patients with Spontaneous Intracerebral Hemorrhage.
Article in Medical science monitor : international medical journal of experimental and clinical research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
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Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Machine learning for predicting hematoma expansion in spontaneous intracerebral hemorrhage: a systematic review and meta-analysis.Neuroradiology · 2024Pooled it
- Article
- Deep learning-based imaging model to predict early hematoma enlargement and hospital mortality in spontaneous intracerebral hemorrhage.World journal of radiology · 2026Article
- A novel dose-dependent predictor for hematoma expansion on non-contrast CT: the number of black hole signs in spontaneous intracerebral hemorrhage.Neurosurgical review · 2025Article
- Predicting hematoma growth in spontaneous intracerebral hemorrhage: A simplified non-contrast computed tomography based five-point grading approach.World journal of radiology · 2025Article
- Clinical and Imaging Predictors of Hematoma Expansion in Spontaneous Intracerebral Hemorrhage: Development of a Prognostic Model.Risk management and healthcare policy · 2025Article
- Black hole sign migration in short-term brain CT scans: A possible link with clot evolution and histology.Radiology case reports · 2024Article
- Uncertainty-aware deep-learning model for prediction of supratentorial hematoma expansion from admission non-contrast head computed tomography scan.NPJ digital medicine · 2024Article
- Non-contrast computed tomography features predict intraventricular hemorrhage growth.European radiology · 2023Article
- Acute subdural hematoma during sexual intercourse due to an aneurysm rupture on posterior communicating artery: a case report.Radiology case reports · 2023Article
- Research advances in imaging markers for predicting hematoma expansion in intracerebral hemorrhage: a narrative review.Frontiers in neurology · 2023Review
- Diagnostic Accuracy and Reliability of Noncontrast Computed Tomography Markers for Acute Hematoma Expansion among Radiologists.Tomography (Ann Arbor, Mich.) · 2022Article
- Article
- Non-Contrast CT-Based Radiomics Score for Predicting Hematoma Enlargement in Spontaneous Intracerebral Hemorrhage.Clinical neuroradiology · 2022Article
- External validation study on the value of deep learning algorithm for the prediction of hematoma expansion from noncontrast CT scans.BMC medical imaging · 2022Article
- Article
- Minimally Invasive Intracerebral Hemorrhage Evacuation Techniques: A Review.Diagnostics (Basel, Switzerland) · 2021Review
- Computed Tomography Imaging Predictors of Intracerebral Hemorrhage Expansion.Current neurology and neuroscience reports · 2021Review
- ROC and AUC with a Binary Predictor: a Potentially Misleading Metric.Journal of classification · 2020Article
- Inter- and Intrarater Agreement of Spot Sign and Noncontrast CT Markers for Early Intracerebral Hemorrhage Expansion.Journal of clinical medicine · 2020Article
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND Early hematoma growth is associated with poor outcome in patients with spontaneous intracerebral hemorrhage (ICH). The swirl sign (SS) and the black hole sign (BHS) are imaging markers in ICH patients. The aim of this study was to compare the predictive value of these 2 signs for early hematoma growth. MATERIAL AND METHODS ICH patients were screened for the appearance of the 2 signs within 6 h after onset of symptoms. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of the 2 signs in predicting early hematoma growth were assessed. The accuracy of the 2 signs in predicting early hematoma growth was analyzed by receiver-operator analysis. RESULTS A total of 200 patients were enrolled in this study. BHS was found in 30 (15%) patients, and SS was found in 70 (35%) patients. Of the 71 patients with early hematoma growth, BHS was found on initial computed tomography scans in 24 (33.8%) and SS in 33 (46.5%). The sensitivity, specificity, PPV, and NPV of BHS for predicting early hematoma growth were 33.8%, 95.3%, 80.0%, and 72.0%, respectively. The sensitivity, specificity, PPV, and NPV of SS were 46.5%, 71.3%, 47.0%, and 71.0%, respectively. The area under the curve was 0.646 for BHS and 0.589 for SS (P=0.08). Multivariate logistic regression showed that presence of BHS is an independent predictor of early hematoma growth. CONCLUSIONS The Black hole sign seems to be good predictor for hematoma growth. The presence of swirl sign on admission CT does not independently predict hematoma growth in patients with ICH.
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