Evidence map›Paper›PMID 41848861›Full record

ArticleNeuroradiology2026

Predictive performance of non-contrast CT signs for hematoma expansion: A comparative analysis across traditional, revised, and conservative definitions.

Chaohui Zhu, Junqi Sun, Huifang Li, Lijuan Yang, Haihua Wei

Abstract readComparative Study
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Article in Neuroradiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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5 authors.

Chaohui ZhuYuebei People's Hospital, Shaoguan, China.
Junqi SunYuebei People's Hospital, Shaoguan, China.
Huifang LiYuebei People's Hospital, Shaoguan, China.
Lijuan YangYuebei People's Hospital, Shaoguan, China.
Haihua WeiGuangdong Provincial Second Hospital of Traditional Chinese Medicine, Guangdong Provincial Engineering Technology Research Institute of Traditional Chinese Medicine, Guangdong Provincial Key Laboratory of Research and Development in Traditional Chinese Medicine, Guangzhou, China. 1105096148@qq.com.

Funding

Guangdong Provincial Department of Traditional Chinese Medicine 20261026the 2023 support project for scientific researchers by Shaoguan City 230331108037834
6 · The paper itself

Abstract

backgroundHematoma expansion (HE) is a critical determinant of neurological deterioration after spontaneous intracerebral hemorrhage (ICH). While non-contrast CT (NCCT) signs (Blend sign, Black hole sign, Hypodensities) are established predictors under traditional parenchymal-volume-based HE definitions, their performance under a revised composite definition that includes intraventricular hemorrhage (IVH) expansion remains unvalidated.

methodsIn a retrospective cohort of 685 spontaneous ICH patients, HE was assessed using three definitions: traditional (parenchymal increase > 6 mL or > 33%), revised (traditional criteria and/or IVH expansion [≥ 1 mL or new IVH]), and conservative revised (IVH threshold > 2 mL). Multivariable logistic regression evaluated the independent association of NCCT signs with each definition. Model discrimination was compared using ROC analysis.

resultsHE incidence was 17.08% (traditional), 21.90% (revised), and 20.15% (conservative revised). All three NCCT signs remained strong, independent predictors across all definitions after full adjustment (all p < 0.001), with no significant multicollinearity. The combined predictive model (clinical variables + all three signs) showed excellent and comparable discrimination for traditional (AUC = 0.867) and revised (AUC = 0.821) definitions (P = 0.13). A strong, identical inverse relationship between time-from-onset and HE risk was observed across all definitions. The revised definition captured all cases of severe HE (> 12.5 mL or > 50% growth) and identified an additional subgroup with isolated IVH expansion.

conclusionThe Blend sign, Black hole sign, and Hypodensities are robust predictors of HE that generalize effectively from traditional to IVH-inclusive composite definitions. Their predictive utility, combined with the time-dependent risk profile, supports their use for early, universal risk stratification in acute ICH, irrespective of the specific HE definition employed.

Indexed as

Cerebral HemorrhageHematomaTomography, X-Ray ComputedAgedFemaleHumansMaleMiddle AgedPredictive Value of TestsRetrospective StudiesBlack hole signBlend signHematoma expansionHypodensitiesIntraventricular hemorrhagePrediction model

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