ArticleStroke2023
Using Noncontrast Computed Tomography to Improve Prediction of Intracerebral Hemorrhage Expansion.
Article in Stroke, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- Association of Location-Specific Perihematomal Edema with Clinical Outcomes in Deep Intracerebral Hemorrhage.Neurocritical care · 2026Article
- Review
- Association of Rotational Thromboelastometry Parameters with Hematoma Expansion After Spontaneous Intracerebral Hemorrhage.Neurocritical care · 2026Article
- Prediction of intracerebral hemorrhage hematoma expansion: value of a novel deep learning system score.European radiology · 2026Article
- Associations between Hematoma Density, Hematoma Evacuation Efficacy, and In-Hospital Mortality in Patients Undergoing Minimally Invasive Surgery after Intracerebral Hemorrhage.Neurocritical care · 2026Article
- AI-assisted versus fully automated volumetry for hemorrhage quantification in spontaneous ICH with ventricular extension: A multi-center study.European journal of radiology open · 2026Article
- A novel inflammatory score predicts hematoma expansion and 90‑day functional outcomes after spontaneous intracerebral hemorrhage.Clinics (Sao Paulo, Brazil) · 2026Article
- Predictive performance of non-contrast CT signs for hematoma expansion: A comparative analysis across traditional, revised, and conservative definitions.Neuroradiology · 2026Article
- Clinically Applicable Machine Learning Approach to Predict Intracerebral Hematoma Expansion.Journal of the American Heart Association · 2026Article
- Ultra-early computed tomography markers of haematoma expansion: Potential trial targets?European stroke journal · 2026Article
- An end-to-end deep learning pipeline for hematoma expansion prediction in spontaneous intracerebral hemorrhage based on non-contrast computed tomography.NPJ digital medicine · 2025Article
- Temporal evolution of non-contrast CT markers of expansion relates to the dynamics of acute intracerebral hemorrhage.Neuroradiology · 2025Observational
- Development and validation of the HIGHT prediction model for early hematoma expansion in spontaneous intracerebral hemorrhage.Scientific reports · 2025Article
- Article
- Noncontrast CT-based deep learning for predicting intracerebral hemorrhage expansion incorporating growth of intraventricular hemorrhage.Scientific reports · 2025Article
- Ultra-early computed tomography markers of haematoma expansion: Potential trial targets?European stroke journal · 2025Article
- 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
- Combining 2.5D deep learning and conventional features in a joint model for the early detection of sICH expansion.Scientific reports · 2024Article
- Radiomic Features of Acute Cerebral Hemorrhage on Non-Contrast CT Associated with Patient Survival.Diagnostics (Basel, Switzerland) · 2024Article
- Association of pulse pressure with hematoma expansion in patients with spontaneous supratentorial intracerebral hemorrhage.Frontiers in neurology · 2024Article
Corrections and comments
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Authors and funding
27 authors.
Funding
Abstract
backgroundNoncontrast computed tomography hypodensities are a validated predictor of hematoma expansion (HE) in intracerebral hemorrhage and a possible alternative to the computed tomography angiography (CTA) spot sign but their added value to available prediction models remains unclear. We investigated whether the inclusion of hypodensities improves prediction of HE and compared their added value over the spot sign.
methodsRetrospective analysis of patients admitted for primary spontaneous intracerebral hemorrhage at the following 8 university hospitals in Boston, US (1994-2015, prospective), Hamilton, Canada (2010-2016, retrospective), Berlin, Germany (2014-2019, retrospective), Chongqing, China (2011-2015, retrospective), Pavia, Italy (2017-2019, prospective), Ferrara, Italy (2010-2019, retrospective), Brescia, Italy (2020-2021, retrospective), and Bologna, Italy (2015-2019, retrospective). Predictors of HE (hematoma growth >6 mL and/or >33% from baseline to follow-up imaging) were explored with logistic regression. We compared the discrimination of a simple prediction model for HE based on 4 predictors (antitplatelet and anticoagulant treatment, baseline intracerebral hemorrhage volume, and onset-to-imaging time) before and after the inclusion of noncontrast computed tomography hypodensities, using receiver operating characteristic curve and De Long test for area under the curve comparison.
resultsA total of 2465 subjects were included, of whom 664 (26.9%) had HE and 1085 (44.0%) had hypodensities. Hypodensities were independently associated with HE after adjustment for confounders in logistic regression (odds ratio, 3.11 [95% CI, 2.55-3.80];
conclusionsNoncontrast computed tomography hypodensities provided a significant added value in the prediction of HE and appear a valuable alternative to the CTA spot sign. Our findings might inform future studies and suggest the possibility to stratify the risk of HE with good discrimination without CTA.
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