Automated Diseased Lung Volume Percentage Calculation in Quantitative CT Evaluation of Chronic Obstructive Pulmonary Disease and Idiopathic Pulmonary Fibrosis

Autor: Fumika Ueno, Yunden Droma, Yoshiaki Kitaguchi, Kiyoyasu Fukushima, Keisaku Fujimoto, Satoshi Kawakami, Masayuki Hanaoka, Masanori Yasuo, Yosuke Wada, Takumi Kinjo
Rok vydání: 2021
Předmět:
Zdroj: Journal of Computer Assisted Tomography. 45:649-658
ISSN: 1532-3145
0363-8715
Popis: 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.
Databáze: OpenAIRE