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Automated Diseased Lung Volume Percentage Calculation in Quantitative CT Evaluation of Chronic Obstructive Pulmonary Disease and Idiopathic Pulmonary Fibrosis
- Source :
- Journal of Computer Assisted Tomography. 45:649-658
- Publication Year :
- 2021
- Publisher :
- Ovid Technologies (Wolters Kluwer Health), 2021.
-
Abstract
- Objective Several software-based quantitative computed tomography (CT) analysis methods have been developed for assessing emphysema and interstitial lung disease. Although the texture classification method appeared to be more successful than the other methods, the software programs are not commercially available, to our knowledge. Therefore, this study aimed to investigate the usefulness of a commercially available software program for quantitative CT analyses. Methods This prospective cohort study included 80 patients with chronic obstructive pulmonary disease (COPD) or idiopathic pulmonary fibrosis (IPF). Results The percentage of low attenuation volume and high attenuation volume had high sensitivity and high specificity for detecting emphysema and pulmonary fibrosis, respectively. The percentage of diseased lung volume (DLV%) was significantly correlated with the lung diffusion capacity for carbon monoxide in all patients with COPD and IPF patients. Conclusions The quantitative CT analysis may improve the precision of the assessment of DLV%, which itself could be a useful tool in predicting lung diffusion capacity in patients with the clinical diagnosis of COPD or IPF.
- Subjects :
- Male
medicine.medical_specialty
Pulmonary disease
Cohort Studies
Pulmonary Disease, Chronic Obstructive
Idiopathic pulmonary fibrosis
Pulmonary fibrosis
medicine
Humans
Radiology, Nuclear Medicine and imaging
Lung volumes
Prospective Studies
Quantitative computed tomography
Prospective cohort study
Lung
Aged
COPD
medicine.diagnostic_test
business.industry
Interstitial lung disease
Middle Aged
respiratory system
medicine.disease
Idiopathic Pulmonary Fibrosis
respiratory tract diseases
Female
Radiology
Lung Volume Measurements
Tomography, X-Ray Computed
business
Subjects
Details
- ISSN :
- 15323145 and 03638715
- Volume :
- 45
- Database :
- OpenAIRE
- Journal :
- Journal of Computer Assisted Tomography
- Accession number :
- edsair.doi.dedup.....6c2510768270a249335c78d3ddd9c1a7
- Full Text :
- https://doi.org/10.1097/rct.0000000000001182