The prediction of hematoma growth in acute intracerebral hemorrhage: from 2-dimensional shape to 3-dimensional morphology

The Sphericity ≤0.56 and SurfaceArea >55 cm2 could represent the optimal threshold for HG prediction. PHM was considered a reliable 3-dimensional morphology model for HG prediction. PCM tended to be a better model for risk stratification of active bleeding in acute ICH patients.

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Publication Details

Journal
Cerebrovascular Diseases
Published
2025-02-18
DOI
https://doi.org/10.1159/000544757
Primary Topic
Intracerebral and Subarachnoid Hemorrhage Research
Type
article
Field-Weighted Citation Impact
0.00
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article

The prediction of hematoma growth in acute intracerebral hemorrhage: from 2-dimensional shape to 3-dimensional morphology

Libo Zhao, Wen‐Song Yang, Peng Xie, Yiqing Shen et al.
Cerebrovascular Diseases
Intracerebral and Subarachnoid Hemorrhage Research
article

The prediction of hematoma growth in acute intracerebral hemorrhage: from 2-dimensional shape to 3-dimensional morphology

Libo Zhao, Wen‐Song Yang, Peng Xie, Yiqing Shen, Qi Li, Jing Wang, Yong-Bo Ma, Qingjun Liu, Qingyuan Wu, J Y Huang, Chao-Yi Huang
article en

Abstract

The Sphericity ≤0.56 and SurfaceArea >55 cm2 could represent the optimal threshold for HG prediction. PHM was considered a reliable 3-dimensional morphology model for HG prediction. PCM tended to be a better model for risk stratification of active bleeding in acute ICH patients.

Cerebrovascular DiseasesVol. 54(6)
Chongqing Three Gorges Central Hospital (CN), The Affiliated Yongchuan Hospital of Chongqing Medical University (CN), Chongqing Three Gorges University (CN), Chongqing Medical University (CN)
Life below water
Openalex Percentile: Top 95%
Intracerebral and Subarachnoid Hemorrhage Research
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The prediction of hematoma growth in acute intracerebral hemorrhage: from 2-dimensional shape to 3-dimensional morphology — Libo Zhao, Wen‐Song Yang, et al. · Cerebrovascular Diseases (2025) | TGRS Research Map | TGRS