Zhiyuan Yu1, Jun Zheng1, Zhao Xu2, Mou Li3, Xiaoze Wang3, Sen Lin1, Hao Li1, Chao You4. 1. Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China. 2. Department of Anesthesiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China. 3. Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China. 4. Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China. Electronic address: youchaowchscu@163.com.
Abstract
OBJECTIVE: This systematic review and meta-analysis was aimed to evaluate the predictive values of shape irregularity and density heterogeneity of hematoma on noncontrast computed tomography (NCCT) for hematoma expansion (HE). METHODS: A literature search was performed in PubMed, Embase, Scopus, Web of Science, and Cochrane Library. Studies about predictive values of shape regularity or density heterogeneity of hematoma on NCCT for HE in spontaneous intracerebral hemorrhage were included. Meta-analysis was performed to pool the data. Publication bias assessment, subgroup analysis, and univariate meta-regression were conducted. RESULTS: A total of 7 studies with 2294 patients were included. The pooled sensitivity, specificity, positive likelihood ratio, and negative likelihood ratio of shape irregularity were 67%, 47%, 1.30, and 0.71, respectively. In contrast, the pooled sensitivity, specificity, positive likelihood ratio, and negative likelihood ratio of density irregularity were 52%, 69%, 1.70, and 0.69, respectively. CONCLUSIONS: Considering the relatively low sensitivity and specificity, the predictive values of shape irregularity and density heterogeneity of hematoma for HE are limited. Further studies are still needed to find optimal NCCT predictors for HE in spontaneous intracerebral hemorrhage patients.
OBJECTIVE: This systematic review and meta-analysis was aimed to evaluate the predictive values of shape irregularity and density heterogeneity of hematoma on noncontrast computed tomography (NCCT) for hematoma expansion (HE). METHODS: A literature search was performed in PubMed, Embase, Scopus, Web of Science, and Cochrane Library. Studies about predictive values of shape regularity or density heterogeneity of hematoma on NCCT for HE in spontaneous intracerebral hemorrhage were included. Meta-analysis was performed to pool the data. Publication bias assessment, subgroup analysis, and univariate meta-regression were conducted. RESULTS: A total of 7 studies with 2294 patients were included. The pooled sensitivity, specificity, positive likelihood ratio, and negative likelihood ratio of shape irregularity were 67%, 47%, 1.30, and 0.71, respectively. In contrast, the pooled sensitivity, specificity, positive likelihood ratio, and negative likelihood ratio of density irregularity were 52%, 69%, 1.70, and 0.69, respectively. CONCLUSIONS: Considering the relatively low sensitivity and specificity, the predictive values of shape irregularity and density heterogeneity of hematoma for HE are limited. Further studies are still needed to find optimal NCCT predictors for HE in spontaneous intracerebral hemorrhagepatients.
Authors: Zhe Kang Law; Azlinawati Ali; Kailash Krishnan; Adam Bischoff; Jason P Appleton; Polly Scutt; Lisa Woodhouse; Stefan Pszczolkowski; Lesley A Cala; Robert A Dineen; Timothy J England; Serefnur Ozturk; Christine Roffe; Daniel Bereczki; Alfonso Ciccone; Hanne Christensen; Christian Ovesen; Philip M Bath; Nikola Sprigg Journal: Stroke Date: 2019-11-18 Impact factor: 7.914
Authors: Danfeng Zhang; Jigang Chen; Qiang Xue; Bingying Du; Ya Li; Tao Chen; Ying Jiang; Lijun Hou; Yan Dong; Junyu Wang Journal: Biomed Res Int Date: 2018-01-10 Impact factor: 3.411