The relationship between perihematomal edema and hematoma expansion in acute spontaneous intracerebral hemorrhage: an exploratory radiomics analysis study

作者全名：Zhou, Zhiming; Wu, Xiaojia; Chen, Yuanyuan; Tan, Yuanxin; Zhou, Yu; Huang, Tianxing; Zhou, Hongli; Lai, Qi; Guo, Dajing

作者地址：[Zhou, Zhiming; Wu, Xiaojia; Chen, Yuanyuan; Zhou, Yu; Huang, Tianxing; Lai, Qi; Guo, Dajing] Chongqing Med Univ, Affiliated Hosp 2, Dept Radiol, Chongqing, Peoples R China; [Zhou, Zhiming; Wu, Xiaojia; Chen, Yuanyuan; Zhou, Yu; Huang, Tianxing; Lai, Qi; Guo, Dajing] Chongqing Med Imaging Artificial Intelligence Lab, Chongqing, Peoples R China; [Tan, Yuanxin] Fifth Peoples Hosp Chongqing, Dept Radiol, Chongqing, Peoples R China; [Zhou, Hongli] Nanchong Cent Hosp, Dept Radiol, Nanchong, Sichuan, Peoples R China

通信作者：Guo, DJ (通讯作者)，Chongqing Med Univ, Affiliated Hosp 2, Dept Radiol, Chongqing, Peoples R China.; Guo, DJ (通讯作者)，Chongqing Med Imaging Artificial Intelligence Lab, Chongqing, Peoples R China.

来源：FRONTIERS IN NEUROSCIENCE

ESI学科分类：NEUROSCIENCE & BEHAVIOR

WOS号：WOS:001221135800001

JCR分区：Q2

影响因子：3.2

年份：2024

卷号：18

期号：　

开始页：　

结束页：　

文献类型：Article

关键词：Radiomics; computed tomography; perihematomal edema; intracerebral hemorrhage; hematoma expansion

摘要：Background: The relationship between early perihematomal edema (PHE) and hematoma expansion (HE) is unclear. We investigated this relationship in patients with acute spontaneous intracerebral hemorrhage (ICH), using radiomics. Methods: In this multicenter retrospective study, we analyzed 490 patients with spontaneous ICH who underwent non-contrast computed tomography within 6 h of symptom onset, with follow-up imaging at 24 h. We performed HE and PHE image segmentation, and feature extraction and selection to identify HE-associated optimal radiomics features. We calculated radiomics scores of hematoma (Radscores_HEA) and PHE (Radscores_PHE) and constructed a combined model (Radscore_HEA_PHE). Relationships of the PHE radiomics features or Radscores_PHE with clinical variables, hematoma imaging signs, Radscores_HEA, and HE were assessed by univariate, correlation, and multivariate analyses. We compared predictive performances in the training (n = 296) and validation (n = 194) cohorts. Results: Shape_VoxelVolume and Shape_MinorAxisLength of PHE were identified as optimal radiomics features associated with HE. Radscore_PHE (odds ratio = 1.039, p = 0.032) was an independent HE risk factor after adjusting for the ICH onset time, Glasgow Coma Scale score, baseline hematoma volume, hematoma shape, hematoma density, midline shift, and Radscore_HEA. The areas under the receiver operating characteristic curve of Radscore_PHE in the training and validation cohorts were 0.808 and 0.739, respectively. After incorporating Radscore_PHE, the integrated discrimination improvements of Radscore_HEA_PHE in the training and validation cohorts were 0.009 (p = 0.086) and -0.011 (p < 0.001), respectively. Conclusion: Radscore_PHE, based on Shape_VoxelVolume and Shape_MinorAxisLength of PHE, independently predicts HE, while Radscore_PHE did not add significant incremental value to Radscore_HEA.

基金机构：Natural Science Foundation of Chongqing, China [CSTB2022NSCQ-MSX0116]; Kuanren Talents Program of the Second Affiliated Hospital of Chongqing Medical University [CQYC2020030389, 2020-7]

基金资助正文：The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This study was supported by Natural Science Foundation of Chongqing, China (grant no. CSTB2022NSCQ-MSX0116) and the Kuanren Talents Program of the Second Affiliated Hospital of Chongqing Medical University (CQYC2020030389, 2020-7).