Assessing the Severity of Connective Tissue-Related Interstitial Lung Disease Using Computed Tomography Quantitative Analysis Parameters

An AA% of 9.7% was the optimal threshold for differentiating CTD-ILD patients from HCs. Honeycombing can preliminarily predict lung function impairment and was an independent risk factor for GAP staging, offering significant clinical guidance for assessing the severity of the patient's disease.

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Publication Details

Journal
Journal of Computer Assisted Tomography
Published
2024-11-13
DOI
https://doi.org/10.1097/rct.0000000000001693
Citations
1
Primary Topic
Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
Type
article
Field-Weighted Citation Impact
0.42
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article

Assessing the Severity of Connective Tissue-Related Interstitial Lung Disease Using Computed Tomography Quantitative Analysis Parameters

Ningling Su, Fan Fan Hou, Jinlian Ma, Hongmei Zhu et al.
1 citations
Journal of Computer Assisted Tomography
Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
0.42
article

Assessing the Severity of Connective Tissue-Related Interstitial Lung Disease Using Computed Tomography Quantitative Analysis Parameters

Ningling Su, Fan Fan Hou, Jinlian Ma, Hongmei Zhu, Feng Liu
article en
1 citations

Abstract

An AA% of 9.7% was the optimal threshold for differentiating CTD-ILD patients from HCs. Honeycombing can preliminarily predict lung function impairment and was an independent risk factor for GAP staging, offering significant clinical guidance for assessing the severity of the patient's disease.

Journal of Computer Assisted TomographyVol. 49(3)
Nanjing University of Chinese Medicine (CN), Jiangyin People's Hospital (CN), Taiyuan Institute of Technology (CN)
Good health and well-being
Openalex Percentile: Top 31%
Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
0.42
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