The value of radiomic features in chronic obstructive pulmonary disease assessment: a prospective study

K Yang; Y Yang; Y Kang; Z Liang; F Wang; Q Li; J Xu; G Tang; R Chen

doi:10.1016/j.crad.2022.02.015

The value of radiomic features in chronic obstructive pulmonary disease assessment: a prospective study

Clin Radiol. 2022 Jun;77(6):e466-e472. doi: 10.1016/j.crad.2022.02.015. Epub 2022 Mar 26.

Authors

K Yang¹, Y Yang², Y Kang³, Z Liang², F Wang², Q Li⁴, J Xu², G Tang², R Chen⁵

Affiliations

¹ Shenzhen Institute of Respiratory Diseases, Shenzhen People's Hospital (the Second Clinical Medical College, Jinan University, The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen 518001, China; National Clinical Research Center for Infectious Disease, Shenzhen Third People's Hospital (the Second Affiliated Hospital, Southern University of Science and Technology), Shenzhen 518112, China.
² State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.
³ College of Medicine and Biological Information Engineering, Northeastern University, Shenyang 110169, China; Medical Device Innovation Center, Shenzhen Technology University, Shenzhen 518001, China.
⁴ College of Medicine and Biological Information Engineering, Northeastern University, Shenyang 110169, China.
⁵ Shenzhen Institute of Respiratory Diseases, Shenzhen People's Hospital (the Second Clinical Medical College, Jinan University, The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen 518001, China. Electronic address: chenrc@gird.cn.

PMID: 35346461
DOI: 10.1016/j.crad.2022.02.015

Abstract

Aim: To investigate whether radiomic features could supply additional information in the assessment of lung function, health status, and exacerbation of chronic obstructive pulmonary disease (COPD).

Materials and methods: This prospective study enrolled 197 patients who underwent high-resolution chest computed tomography (CT) between 2009 and 2011. A total of 17 radiomic features from chest CT images were selected to explore the applicability of radiomics in the evaluation of COPD. Spirometric lung function testing, modified Medical Research Council (mMRC), St George's respiratory questionnaire (SGRQ), 6-minute walk test (6MWT), and exacerbations were collected at baseline and 1-year follow-up. The relationships of radiomic features, lung function, health status, and exacerbation were assessed using linear and logistic multivariate analyses.

Results: At baseline visit, radiomic features were significantly associated with forced expiratory volume in 1 second percent of predicted (FEV₁ % predicted), FEV₁/forced vital capacity (FVC), mMRC, and SGRQ after multivariate adjustment. At 1-year follow-up, original_10^thpercentile was associated with mMRC change, and original_10^thpercentile, original_elongation, original_sphericity, and original_glv were associated with SGRQ change. Original_flatness was associated with exacerbation and can improve the prediction performance of other models for exacerbation. No radiomic features correlated with the 6MWT.

Conclusion: Radiomic features were associated with airflow obstruction, health status, and exacerbation of COPD independent of other factors, showing promise in the assessment of COPD.

MeSH terms

Forced Expiratory Volume
Humans
Prospective Studies
Pulmonary Disease, Chronic Obstructive* / diagnostic imaging
Respiratory Function Tests
Severity of Illness Index
Surveys and Questionnaires