Evidence map›Paper›PMID 41025065›Full record

ArticleWorld journal of radiology2025

Predicting hematoma growth in spontaneous intracerebral hemorrhage: A simplified non-contrast computed tomography based five-point grading approach.

Arshed Hussain Parry, Syeed Aalishan Fatima, Mahrukh Wani, Majid Jehangir, Omar Farooq, Mohmed Imran Wagay, Obaid Ashraf, Aijaz Ahmad Hakeem

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Article in World journal of radiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Arshed Hussain ParryDepartment of Radiodiagnosis and Imaging, Government Medical College, Srinagar 190010, Jammu and Kashmir, India. arshedparry@gmail.com.
Syeed Aalishan FatimaCardiovascular Radiology and Endovascular Interventions, All India Institute of Medical Sciences, New Delhi 110029, India.
Mahrukh WaniDepartment of Radiodiagnosis and Imaging, Government Medical College, Srinagar 190010, Jammu and Kashmir, India.
Majid JehangirDepartment of Radiodiagnosis and Imaging, Government Medical College, Srinagar 190010, Jammu and Kashmir, India.
Omar FarooqGeneral Medicine, Government Medical College, Srinagar 190010, Jammu and Kashmir, India.
Mohmed Imran WagayDepartment of Radiodiagnosis and Imaging, Government Medical College, Srinagar 190010, Jammu and Kashmir, India.
Obaid AshrafDepartment of Radiodiagnosis and Imaging, Government Medical College, Srinagar 190010, Jammu and Kashmir, India.
Aijaz Ahmad HakeemDepartment of Radiodiagnosis and Imaging, Government Medical College, Srinagar 190010, Jammu and Kashmir, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIntracerebral hemorrhage (ICH) comprises 9%-27% of stroke patients. Hematoma expansion (HE) occurs in approximately 20% of patients following ICH, typically within the first 24 hours. HE increases mortality and long-term disability in these patients and is being investigated as a therapeutic target to improve the outcome in these patients by limiting HE. Non-contrast computed tomography (NCCT) has potential in predicting HE, which can identify the individuals at risk.

aimTo evaluate NCCT markers for predicting HE in patients with ICH and to develop a simple, practical grading system for risk stratification.

methodsThis prospective observational study evaluated 192 patients with spontaneous ICH who underwent a baseline NCCT within four hours of admission, followed by a follow-up scan after six hours or earlier if there was clinical deterioration. Hematoma volumes and imaging characteristics that predicted HE were evaluated. A simple five-point grading system score was created to predict HE. In this scoring system, five imaging parameters were evaluated, with each parameter assigned a score of either 0 or 1. The parameters included: (1) Baseline hematoma volume ≥ 30 mL

resultsOf the 192 patients studied, HE was seen in 106 (55.2%). The mean baseline hematoma volume was significantly greater among patients in the HE group (44.1 mL) compared to those in the non-HE group (12.2 mL), with a

conclusionThe five variables demonstrated statistically significant associations with HE. This simple and practical 5-point prediction score can enable identification of patients at elevated risk of HE based on baseline NCCT findings. This can facilitate timely recognition of high-risk individuals who may benefit from targeted anti-expansion therapy.

Indexed as

Black hole signHematoma expansionIsland signNon-contrast computed tomography predictorsSpontaneous intracerebral hemorrhageSwirl sign

Identifiers

PMID41025065
PMCPMC12476755

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