Clinical research of prognosis evaluation of patients with idiopathic pulmonary fibrosis by quantitative imaging characteristics combined with clinical features

Acta Universitatis Medicinalis Anhui 2021 01 v.56 161-165     font:big middle small

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Authors:Guo Lu; Zhong Zhendong; Jiang Caiyu

Keywords:idiopathic pulmonary fibrosis;imaging characteristics;biomarker;prognosis

DOI:10.19405/j.cnki.issn1000-1492.2021.01.032

〔Abstract〕 Objective To investigate the correlation between clinical physiological with the severity as well as the prognosis of idiopathic pulmonary fibrosis, and to analyze the value of quantitative analysis of CAD system for the prognosis of IPF. Methods 126 IPF patients were divided into survival group and non-survival group retrospectively according to their outcome during the follow-up. Data of clinical features and quantitative analysis parameters of imaging measured by CAD system were recorded and analyzed simultaneously. Disease progress was compared between the two groups and Cox regression models were used to identify the association between clinical features, quantitative analysis parameters of CAD system and all-cause mortality. Results Indicators of lung function including FVC, DLCO and TLC significantly increased in survival group compared with non-survival group(P<0.05). Imaging changes analyzed with CAD system in the patients with IPF showed that volume ratio of reticulation honeycombing and total ILD lesions were significantly higher than the patients in survival group(P<0.05). The multivariate Cox regression model showed that FVC,TLC,DLCO,volume ratio of reticulation, volume ratio of HC, volume ratio of total ILD lesion and deterioration within 6 months could elevate mortality risk of the patients with IPF. Conclusion Baseline pulmonary function parameters can predict mortality risk. The quantitative analysis of CAD system is an accurate, sensitive, objective and repeatable evaluation for the degree of IPF disease.