中国中西医结合影像学杂志2024，Vol.22Issue(2)：184-187,197,5.DOI:10.3969/j.issn.1672-0512.2024.02.012
人工智能CT定量分析技术在评价不同时期肺挫伤支气管变化过程中的应用价值
Application value of artificial intelligence CT quantitative analysis technology in evaluation for the process of bron-chial changes at different stages of pulmonary contusion
摘要
Abstract
Objective:To evaluate the potential of artificial intelligence CT quantitative analysis technology in tracking the progression and healing phases of pulmonary contusions.Methods:The chest CT data of 90 patients with pulmonary contusions(108 lesions)were retrospectively analyzed.Artificial intelligence CT quantitative analysis technology was used to automatically segment the images and measure the changes in the quantitative indicators of grade 3～7 bronchi in different periods of pulmonary contusion(acute stage,exudation stage and absorption stage),and the results were statistically analyzed.Results:Compared with the acute stage and absorption stage,the maximum and average wall thicknesses of grade 3～7 bronchi in the exudation stage were greater,while the intra-and extraluminal diameters and circumferences of grade 4～7 bronchi and the cross-sectional areas of luminal and wall of garde 5～7 bronchi in the exudation stage were significantly smaller(all P＜0.05).The maximum and average wall thicknesses of grade 4～7 bronchi in the acute stage were significantly greater than those in the absorption stage but significantly smaller than those in the exudation stage,while the intra-and extraluminal diameters and circumferences of grade 4～7 bronchi and the cross-sectional areas of the luminal and wall of grade 5～7 bronchi in the acute stage were significantly smaller than those in the absorption stage but significantly larger than those in the exudation stage(all P＜0.05).The volume proportion of pulmonary contusion was(4.26±1.81)%in the acute stage,(7.91±2.70)%in the exudation stage and(1.63±0.91)%in the absorption stage.The volume proportion of pulmonary contusion in the acute stage was correlated with the luminal cross-sectional area,the maximum and average wall thickness of grade 7 bronchi.The volume proportion of pulmonary contusion in the exudation stage was correlated with the luminal cross-sectional area,the intra-and extraluminal diameters,the intraluminal circumference of grade 5 bronchi.The volume proportion of pulmonary contusion in the absorption stage was correlated with the luminal cross-sectional area,the maximum and average wall thickness of grade 6 bronchi and the maximum wall thickness of grade 7 bronchi.Conclusions:Artificial intelligence CT quantitative analysis can be used to visualize bronchial morphological changes in various stages of pulmonary contusions and can be used to dynamically monitor the treatment of pulmonary contusions,providing a new approach for evaluating clinical efficacy.关键词
肺挫伤/人工智能/体层摄影术,X线计算机/定量分析技术Key words
Pulmonary contusion/Artificial intelligence/Tomography,X-ray computed/Quantitative analysis technology引用本文复制引用
代永亮,张宇哲,张元刚,苟杰,程永涛,段小艺,郭佑民,李艳..人工智能CT定量分析技术在评价不同时期肺挫伤支气管变化过程中的应用价值[J].中国中西医结合影像学杂志,2024,22(2):184-187,197,5.基金项目
陕西省科技厅重点研发计划项目(2022SF-344). （2022SF-344）
