Impact of cavity and infiltration on pulmonary function and health-related quality of life in pulmonary Mycobacterium avium complex disease: A 3-dimensional computed tomographic analysis

Takanori Asakura, Yoshitake Yamada, Ho Namkoong, Shoji Suzuki, Yuki Niijima, Hirofumi Kamata, Yohei Funatsu, Kazuma Yagi, Satoshi Okamori, Hiroaki Sugiura, Makoto Ishii, Masahiro Jinzaki, Tomoko Betsuyaku, Naoki Hasegawa

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Abstract

Background and objectives Pulmonary Mycobacterium avium complex (pMAC) disease manifests as various types of lesions, such as infiltrates, nodules, cavities, and bronchiectasis. However, the important determinants for clinical parameters in lung involvement are poorly understood. The objective of this study was to obtain quantitative parameters by 3-dimensional CT, and investigate the relationship between these parameters and the pulmonary function tests (PFTs) and health-related quality of life. Material and methods Quantitative analysis using CT was performed in 67 pMAC patients. The relationship between new quantitative parameters for evaluating lung involvement using 3-dimensional CT and PFTs or St George's Respiratory Questionnaire (SGRQ) was evaluated. Results The ratio of infiltration to total lung volume showed significant correlation with the PFT results, especially the percent-predicted forced vital capacity (%FVC; ρ = −0.52), residual volume (ρ = −0.51), and total lung capacity (ρ = −0.59). The cavity volume was strongly correlated with the %FVC (ρ = −0.78) in the cavity group, while the ratio of infiltration to total lung volume was strongly correlated with the %FVC (ρ = −0.53) in the non-cavity group. The ratio of infiltration to total lung volume was significantly correlated with all SGRQ parameters (ρ = 0.41–0.52) in the non-cavity group. Conclusions Infiltration was an important parameter for the PFTs and SGRQ in pMAC patients according to the 3-dimensional CT analysis. Moreover, cavity volume was an important parameter of the PFTs in the cavity group. Therefore, infiltration and cavity volume are key features for the management of pMAC disease.

Original languageEnglish
Pages (from-to)9-16
Number of pages8
JournalRespiratory Medicine
Volume126
DOIs
Publication statusPublished - 2017 May 1

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Keywords

  • 3-Dimensional computed tomographic analysis
  • Computed tomography
  • Health-related quality of life
  • Mycobacterium avium complex
  • Nontuberculous mycobacteria
  • Pulmonary function

ASJC Scopus subject areas

  • Pulmonary and Respiratory Medicine

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