ReviewFrontiers in neurology2023
Research advances in imaging markers for predicting hematoma expansion in intracerebral hemorrhage: a narrative review.
Review in Frontiers in neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.
- Application of Deep Learning for Predicting Hematoma Expansion in Intracerebral Hemorrhage Using Computed Tomography Scans: A Systematic Review and Meta-Analysis of Diagnostic Accuracy.La Radiologia medica · 2025Pooled it
- The hematoma measurement accuracy of dual-energy computed tomography angiography in spontaneous intracerebral hemorrhage.Diagnostic and interventional radiology (Ankara, Turkey) · 2026Article
- Hematoma expansion in intracerebral hemorrhage: neuroimaging biomarkers, radiomics-based prediction models, and clinical translation.Frontiers in human neuroscience · 2026Review
- Explainable Artificial Intelligence in Non-Contrast Brain Computed Tomography Scan for Intracerebral Hemorrhage: A Scoping Review.Archives of academic emergency medicine · 2026Article
- Non-Contrast CT Hemorrhage Markers and Outcomes in Intracerebral Hemorrhage: A Large Single-Center Cohort from Romania.Reports (MDPI) · 2025Article
- The pathogenesis of cerebral small vessel disease and vascular cognitive impairment.Physiological reviews · 2025Review
- The role of imaging in predicting 3-month prognosis of primary intracerebral hemorrhage: a single-center, prospective observational study in tertiary care hospital.Quantitative imaging in medicine and surgery · 2025Article
- Early NCCT imaging signs for prognostication in intracerebral hemorrhage: a retrospective cohort study with long follow up results.BMC neurology · 2025Article
- Subarachnoid hemorrhage and finger-like projection predict recurrence in patients with lobar intracerebral hemorrhage.Journal of neurology · 2025Article
- Apolipoprotein E genotype is associated with island sign in lobar intracerebral hemorrhage.Frontiers in neurology · 2025Article
- Intracerebral Hemorrhage.Cerebrovascular diseases extra · 2025Review
- Article
- Hemorrhage Expansion Rates Before and After Minimally Invasive Surgery for Intracerebral Hemorrhage: Post Hoc Analysis of MISTIE II/III.Stroke (Hoboken, N.J.) · 2024Article
- Black hole sign migration in short-term brain CT scans: A possible link with clot evolution and histology.Radiology case reports · 2024Article
- Review
- Explainable machine learning reveals multifactorial drivers of early intracranial hematoma progression in traumatic brain injury: development of a SHAP-guided SVM nomogram.Frontiers in neurologyArticle
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Stroke is a major global health concern and is ranked as the second leading cause of death worldwide, with the third highest incidence of disability. Intracerebral hemorrhage (ICH) is a devastating form of stroke that is responsible for a significant proportion of stroke-related morbidity and mortality worldwide. Hematoma expansion (HE), which occurs in up to one-third of ICH patients, is a strong predictor of poor prognosis and can be potentially preventable if high-risk patients are identified early. In this review, we provide a comprehensive summary of previous research in this area and highlight the potential use of imaging markers for future research studies. Recent advances: Imaging markers have been developed in recent years to aid in the early detection of HE and guide clinical decision-making. These markers have been found to be effective in predicting HE in ICH patients and include specific manifestations on Computed Tomography (CT) and CT Angiography (CTA), such as the spot sign, leakage sign, spot-tail sign, island sign, satellite sign, iodine sign, blend sign, swirl sign, black hole sign, and hypodensities. The use of imaging markers holds great promise for improving the management and outcomes of ICH patients. Conclusion: The management of ICH presents a significant challenge, and identifying high-risk patients for HE is crucial to improving outcomes. The use of imaging markers for HE prediction can aid in the rapid identification of such patients and may serve as potential targets for anti-HE therapies in the acute phase of ICH. Therefore, further research is needed to establish the reliability and validity of these markers in identifying high-risk patients and guiding appropriate treatment decisions.
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