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基于CT平扫的影像组学模型预测基底节区脑出血血肿周围水肿早期扩张风险的价值

吴楚玲 郑旭峰 林少帆 林黛英 马树华

汕头大学医学院学报2024,Vol.37Issue(4):200-206,7.
汕头大学医学院学报2024,Vol.37Issue(4):200-206,7.DOI:10.13401/j.cnki.jsumc.2024.04.002

基于CT平扫的影像组学模型预测基底节区脑出血血肿周围水肿早期扩张风险的价值

Value of radiomics model based on CT plain scan to predict the risk of early expansion of perihematomal edema in basal ganglia intracerebral hemorrhage

吴楚玲 1郑旭峰 2林少帆 2林黛英 2马树华3

作者信息

  • 1. 汕头大学医学院第一附属医院放射科,广东 汕头 515041||汕头市中心医院放射科,广东 汕头 515041
  • 2. 汕头市中心医院放射科,广东 汕头 515041
  • 3. 汕头大学医学院第一附属医院放射科,广东 汕头 515041
  • 折叠

摘要

Abstract

Objective:To investigate the value of radiomics model based on CT plain scan in predicting the risk of early expansion of perihematomal edema(PHE)in basal ganglia intracerebral hemorrhage.Methods:A total of 267 patients with basal ganglia intracerebral hemorrhage who were hospitalized in Shantou Central Hospital from January 2021 to December 2023 were retrospectively enrolled,including 165 males and 102 females,aged(63±11)years old,169 patients with early PHE expansion and 98 patients without early PHE expansion.All subjects were randomly divided into a training set(187 cases)and a test set(80 cases)in a ratio of 7∶3 for model establishment and internal validation,respectively.The 3D-Slicer software was used to semi-automatically segment the two target areas of cerebral hematoma and surrounding edema on the baseline CT plain scan images,and the FAE radiomics software was used to extract the radiomics features of the two target areas.Logistic regression was used to establish a prediction model based on clinical factors and conventional CT signs(clinical-conventional CT model),radiomics features(radiomic model),and the combination of the two(combined model).The area under the receiver operating characteristic curve(AUC),calibration curve and decision curve were used to evaluate the predictive value of the model.Results:The combined model constructed by age,Glasgow coma score,hematoma volume,island sign and radiomics score had higher AUC values in the training and test sets(0.956 and 0.943,respectively)than the clinical-conventional CT model(0.732 and 0.683,respectively)and the radiomics model(0.912 and 0.871,respectively)(all P<0.05).The calibration curve Brier scores of the combined model in the training and test sets(0.077 and 0.090,respectively)were lower than those of the clinical-conventional CT model(0.194 and 0.218,respectively)and the radiomics model(0.109 and 0.147,respectively).In the decision curve analysis,the combined model had the highest net benefit in most threshold probability ranges in both the training and test sets.Conclusion:The radiomics combined model based on CT plain scan has good predictive efficacy in predicting the early expansion risk of PHE in basal ganglia intracerebral hemorrhage.

关键词

脑出血/基底节区/血肿周围水肿/影像组学/体层摄影术,X线计算机

Key words

intracerebral hemorrhage/basal ganglia/perihematomal edema/radiomics/tomography,X-ray computed

分类

医药卫生

引用本文复制引用

吴楚玲,郑旭峰,林少帆,林黛英,马树华..基于CT平扫的影像组学模型预测基底节区脑出血血肿周围水肿早期扩张风险的价值[J].汕头大学医学院学报,2024,37(4):200-206,7.

汕头大学医学院学报

1007-4716

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