ArticleJournal of neurology2018
Comparison of CT black hole sign and other CT features in predicting hematoma expansion in patients with ICH.
Article in Journal of neurology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.
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Who cites it
19 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
- Hematoma expansion in intracerebral hemorrhage: neuroimaging biomarkers, radiomics-based prediction models, and clinical translation.Frontiers in human neuroscience · 2026Review
- A decision tree model for hematoma expansion prediction in women after spontaneous intracerebral hemorrhage.Frontiers in neurology · 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
- Clinical and Radiological Predictors for Early Hematoma Expansion After Spontaneous Intracerebral Hemorrhage: A Retrospective Study.Neurology international · 2025Article
- Heterogeneous hematoma density predicts poor outcome in patients with supratentorial intracerebral hemorrhage after craniotomy.BMC neurology · 2025Article
- Black Hole Sign under Anticoagulant Therapy: A Retrospective Comparison of Warfarin and Direct Oral Anticoagulants.AJNR. American journal of neuroradiology · 2025Article
- Minimally Invasive Surgery for Spontaneous Intracerebral Hemorrhage: A Review.Journal of clinical medicine · 2025Review
- A machine learning model based on results of a comprehensive radiological evaluation can predict the prognosis of basal ganglia cerebral hemorrhage treated with neuroendoscopy.Frontiers in neurology · 2024Article
- NCCT Markers of Intracerebral Hemorrhage Expansion Using Revised Criteria: An External Validation of Their Predictive Accuracy.AJNR. American journal of neuroradiology · 2023Article
- Article
- Computed tomography in acute intracerebral hemorrhage: neuroimaging predictors of hematoma expansion and outcome.Insights into imaging · 2022Review
- Non-Contrast CT-Based Radiomics Score for Predicting Hematoma Enlargement in Spontaneous Intracerebral Hemorrhage.Clinical neuroradiology · 2022Article
- Advances in computed tomography-based prognostic methods for intracerebral hemorrhage.Neurosurgical review · 2022Review
- A model comprising the blend sign and black hole sign shows good performance for predicting early intracerebral haemorrhage expansion: a comprehensive evaluation of CT features.European radiology · 2021Article
- Regular-Shaped Hematomas Predict a Favorable Outcome in Patients with Hypertensive Intracerebral Hemorrhage Following Stereotactic Minimally Invasive Surgery.Neurocritical care · 2021Article
- Hematoma Expansion in Intracerebral Hemorrhage: An Update on Prediction and Treatment.Frontiers in neurology · 2020Review
- Clinical Features of Nephrotic Syndrome with Cerebral Hemorrhage.Medical science monitor : international medical journal of experimental and clinical research · 2019Article
- Association Between Eosinophilic Leukocyte Count and Hematoma Expansion in Acute Spontaneous Intracerebral Hemorrhage.Frontiers in neurology · 2019Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
background and purposeThe hematoma expansion (HE) is an important risk factor for early neurological deterioration and poor prognosis. In this study, we aimed to compare the black hole sign with other computed tomography (CT) features to predict the HE and the outcome in patients with intracerebral hemorrhage (ICH).
methodsPatients were enrolled within 12 h after stroke attack in the emergency department of Henan Provincial People's Hospital between January 2012 and June 2016. The clinical characters and CT features including the initial CT and the follow-up CT within 48 h were recorded. The outcome was assessed by using the modified Rankin Scale on discharge. Logistic regression analyses were used to investigate whether the factors were the independent predictor of HE and the outcome in patients with ICH. The sensitivity, specificity, positive predictive value, and negative predictive of CT features in predicting HE were calculated.
resultsA total of 185 ICH patients were enrolled, including 70 (37.8%) patients in HE group and 115 (62.2%) patients in non-HE group. There were significant difference in the initial hematoma volume, irregular shape, and CT black hole sign (P = 0.013, 0.006 and P < 0.001) between the two groups. While irregular shape and CT black hole sign were independent predictors for HE, the sensitivity and specificity were 71.45 and 54.78, 51.4 and 81.7%, respectively. Multivariable analysis identified CT black hole sign (P = 0.108) and initial intraventricular hemorrhage expansion (P = 0.214) were not the independent predictors of poor outcome.
conclusionCT black hole sign presented the best predictive accuracy of predicting HE in patients with ICH compared to other CT features. However, it was not an independent predictor of poor outcome.
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