Evidence map›Paper›PMID 36471307›Full record

ArticleBMC neurology2022

3D slicer-based calculation of hematoma irregularity index for predicting hematoma expansion in intracerebral hemorrhage.

Liping Cao, Meng Liu, Mengmeng Wang, Jian Ding, Keshi Mao, Kefeng Liu, Song Li

Abstract read
In one paragraph

Article in BMC neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

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3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Liping CaoDepartment of Neurology, The First People's Hospital of Changzhou, The Third Affiliated Hospital of Soochow University, 213003, Changzhou, China.
Meng LiuDepartment of Neurology, The First People's Hospital of Changzhou, The Third Affiliated Hospital of Soochow University, 213003, Changzhou, China.
Mengmeng WangDepartment of Neurology, The First People's Hospital of Changzhou, The Third Affiliated Hospital of Soochow University, 213003, Changzhou, China.
Jian DingDepartment of Neurology, The First People's Hospital of Changzhou, The Third Affiliated Hospital of Soochow University, 213003, Changzhou, China.
Keshi MaoDepartment of Neurology, The First People's Hospital of Changzhou, The Third Affiliated Hospital of Soochow University, 213003, Changzhou, China.
Kefeng LiuDepartment of Neurosurgery, The Affiliated Changzhou No.2 People's Hospital of Nanjing Medical University, No.29, Xinglong Lane, Jiangsu, 213003, Changzhou, China. liu1438@163.com.
Song LiDepartment of Neurosurgery, The Affiliated Changzhou No.2 People's Hospital of Nanjing Medical University, No.29, Xinglong Lane, Jiangsu, 213003, Changzhou, China. doctorlisong@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIrregular hematoma is considered as a risk sign of hematoma expansion. The aim of this study was to quantify hematoma irregularity with computed tomography based on 3D Slicer.

methodsPatients with spontaneous intracerebral hemorrhage who underwent an initial and subsequent non-contrast computed tomography (CT) at a single medical center between January 2019 to January 2020 were retrospectively identified. The Digital Imaging and Communication in Medicine (DICOM) standard images were loaded into the 3D Slicer, and the surface area (S) and volume (V) of hematoma were calculated. The hematoma irregularity index (HII) was defined as [Formula: see text]. Logistic regression analyses and receiver operating characteristic (ROC) curve analysis were performed to assess predictive performance of HII.

resultsThe enrolled patients were divided into those with hematoma enlargement (n = 36) and those without the enlargement (n = 57). HII in hematoma expansion group was 130.4 (125.1-140.0), and the index in non-enlarged hematoma group was 118.6 (113.5-122.3). There was significant difference in HII between the two groups (P < 0.01). Multivariate logistic regression analysis revealed that the HII was significantly associated with hematoma expansion before (odds ratio = 1.203, 95% confidence interval [CI], 1.115-1.298; P < 0.001) and after adjustment for age, hematoma volume, Glasgow Coma Scale score (odds ratio = 1.196, 95% CI, 1.102-1.298, P < 0.001). The area under the ROC curve was 0.86 (CI, 0.78-0.93, P < 0.01), and the best cutoff of HII for predicting hematoma growth was 123.8.

conclusionAs a quantitative indicator of irregular hematoma, HII can be calculated using the 3D Slicer. And the HII was independently correlated with hematoma expansion.

Indexed as

Cerebral HemorrhageHematomaGlasgow Coma ScaleHumansRetrospective StudiesROC Curve3D slicerComputed tomographyHematoma expansionIntracerebral hemorrhage

Identifiers

PMID36471307
PMCPMC9720921

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