Difference of mean Hounsfield units (dHU) between follow-up and initial noncontrast CT scan predicts 90-day poor outcome in spontaneous supratentorial acute intracerebral hemorrhage with deep convolutional neural networks

被引：2

作者：

Xia, Xiaona ^{[1
]}

Zhang, Xiaoqian ^{[2
]}

Cui, Jiufa ^{[3
]}

Jiang, Qingjun ^{[1
]}

Guan, Shuai ^{[1
]}

Liang, Kongming ^{[4
]}

Wang, Hao ^{[4
]}

Wang, Chao ^{[5
]}

Huang, Chencui ^{[4
]}

Dong, Hao ^{[4
]}

Han, Kai ^{[4
]}

Meng, Xiangshui ^{[1
]}

机构：

[1] Shandong Univ, Qilu Hosp Qingdao, Cheeloo Coll Med, Dept Radiol, Qingdao, Peoples R China

[2] Chinese Acad Med Sci & Peking Union Med Coll, Peking Union Med Coll Hosp, Dept Radiol, Beijing, Peoples R China

[3] Qingdao Univ, Affiliated Hosp, Dept Radiol, Qingdao, Shandong, Peoples R China

[4] Beijing Deepwise & League PHD Technol Co Ltd, Dept Res Collaborat, R&D Collaborat, Beijing 100080, Peoples R China

[5] Jiaozhou Peoples Hosp, Dept Radiol, Qingdao, Peoples R China

来源：

NEUROIMAGE-CLINICAL | 2023年 / 38卷

关键词：

Spontaneous intracranial hemorrhage; Difference of mean Hounsfield units (dHU); Non-contrast computed tomography; Outcome; Deep convolutional neural networks; HEMATOMA EXPANSION; INTRAVENTRICULAR HEMORRHAGE; COMPUTED-TOMOGRAPHY; BLOOD; STROKE; CARE;

D O I：

10.1016/j.nicl.2023.103378

中图分类号：

R445 [影像诊断学];

学科分类号：

100207 ;

摘要：

Objectives: This study aimed to investigate the usefulness of a new non-contrast CT scan (NCCT) sign called the dHU, which represented the difference in mean Hounsfield unit values between follow-up and the initial NCCT for predicting 90-day poor functional outcomes in acute supratentorial spontaneous intracerebral hemorrhage (sICH) using deep convolutional neural networks.Methods: A total of 377 consecutive patients with sICH from center 1 and 91 patients from center 2 (external validation set) were included. A receiver operating characteristic (ROC) analysis was performed to determine the critical value of dHU for predicting poor outcome at 90 days. Modified Rankin score (mRS) >3 or >2 was defined as the primary and secondary poor outcome, respectively. Two multivariate models were developed to test whether dHU was an independent predictor of the two unfavorable functional outcomes.Results: The ROC analysis showed that a dHU >2.5 was a critical value to predict the poor outcomes (mRS >3) in sICH. The sensitivity, specificity, and accuracy of dHU >2.5 for poor outcome prediction were 37.5%, 86.0%, and 70.6%, respectively. In multivariate models developed after adjusting for all elements of the ICH score and hematoma expansion, dHU >2.5 was an independent predictor of both primary and secondary poor outcomes (OR = 2.61, 95% CI [1.32,5.13], P = 0.006; OR = 2.63, 95% CI [1.36,5.10], P = 0.004, respectively). After adjustment for all possible significant predictors (p < 0.05) by univariate analysis, dHU >2.5 had a positive association with primary and secondary poor outcomes (OR = 3.25, 95% CI [1.52,6.98], P = 0.002; OR = 3.42, 95% CI [1.64,7.15], P = 0.001).Conclusions: The dHU of hematoma based on serial CT scans is independently associated with poor outcomes after acute sICH, which may help predict clinical evolution and guide therapy for sICH patients.

引用

页数：9