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肺间质性疾病CT严重度分级及与肺功能的相关性研究

高慧 刘勇彬 肖旻 张静 刘琴

CT理论与应用研究2025,Vol.34Issue(4):598-603,6.
CT理论与应用研究2025,Vol.34Issue(4):598-603,6.DOI:10.15953/j.ctta.2024.305

肺间质性疾病CT严重度分级及与肺功能的相关性研究

The Correlation between Computed Tomography Severity Grade and Pulmonary Function in Interstitial Lung Disease

高慧 1刘勇彬 1肖旻 1张静 1刘琴2

作者信息

  • 1. 深圳市南山区人民医院放射科,广东 深圳 518052
  • 2. 广州医科大学附属第一医院放射科,广州 510120
  • 折叠

摘要

Abstract

Objective:To assess whether there is a correlation between CT scan severity score and pulmonary function in Interstitial Lung Disease,and provide a more reliable basis for clinical diagnosis and treatment.Materials and Methods:Sixty patients with clinical diagnosis of Interstitial Lung Disease(ILD)were collected,and chest CT and pulmonary function tests were performed at the same time.Here DLCO%and FEV1%were used as the pulmonary function indexes.The severity of the patients was assessed by CT scores as mild(range,1~10),moderate(range 11~20),and severe(range 21~30).Correlation analysis was carried out between CT score and pulmonary function index,and the lung function parameters of patients at three grades were compared between groups and pairwise among the means.Results:As per the CT severity classification,there were 13 mild cases,31 moderate cases,and 16 severe cases.CT score was negatively correlated with DLCO%and FEV1%.R value was-0.814 and-0.797,respectively;The comparison of the mean value of DLCO%and FEV1%among the three groups and the pairings of the mean value of DLCO%and FEV1%were statistically significant.Conclusion:There was good correlation between CT score of ILD and the pulmonary function index.The pulmonary function index of patients with different CT severity grading was statistically significant,which can provide a new basis for the clinical evaluation and diagnosis of the disease.

关键词

肺疾病/间质性/CT/分级/肺功能

Key words

lung disease/interstitial/CT/severity grade/pulmonary function

分类

医药卫生

引用本文复制引用

高慧,刘勇彬,肖旻,张静,刘琴..肺间质性疾病CT严重度分级及与肺功能的相关性研究[J].CT理论与应用研究,2025,34(4):598-603,6.

基金项目

Funding was providing by the Shenzhen City Nanshan District Science and Technology Plan Project(Medical and Health Category)(Grant No.2018073). (Medical and Health Category)

CT理论与应用研究

1004-4140

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