title: Characteristic features of pulmonary function test, CT volume analysis and MR perfusion imaging in COPD patients with different HRCT phenotypes.
abstract: BACKGROUND
  Computed tomography (CT) and magnetic resonance imaging (MRI) can provide detailed anatomic structures and quantitative function information for chronic obstructive pulmonary disease (COPD).
  
  
  OBJECTIVE
  To prospectively clarify characteristics of pulmonary function test (PFT), CT volume parameters and magnetic resonance (MR) perfusion imaging in COPD patients with different high-resolution computed tomography (HRCT) phenotypes.
  
  
  METHODS
  Sixty-two patients performed PFT, CT and MR perfusion imaging. COPD was classified into three phenotypes according to HRCT quantitative findings: A, E and M phenotype. Total lung volume (TLV), total emphysema volume (TEV) and emphysema index (EI) were quantitated by HRCT. In cases of perfusion defects (PDs), the shape and size were evaluated. The contrast between the normal lung and PDs was quantified by calculating their signal intensity ratio (RSI  = SIPD /SInormal ). The correlation was performed between PFT, CT and MR perfusion.
  
  
  RESULTS
  There were 42 A phenotype, 9 E phenotype and 11 M phenotype. There was significant difference in forced expiratory volume in 1 s (FEV1)/forced vital capacity (FVC) between A and M phenotype (P < 0.05). TEV and EI of A phenotype (0.4 ± 0.4 L and 8.0% ± 4.3%) were lower than those of E (1.0 ± 0.3 L and 18.6% ± 3.2%) or M phenotype (0.9 ± 0.2 L and 17.5% ± 1.7%). MR perfusion images showed circumscribed or diffuse patchy PDs. RSI of A phenotype was higher than that of E phenotype (20.3% ± 8.5% vs 11.8% ± 5.4%; P = 0.006). TEV and EI were moderate negatively correlated with diffusion function parameters. RSI was strongly correlated with FEV1% (A) and FEV1/FVC (M). FEV1/FVC was strongly correlated with TEV or EI (E).
  
  
  CONCLUSIONS
  There were different features and correlations between PFT, CT volume and MR perfusion in different phenotype, indicating each phenotype may have novel imaging method guiding clinical management.
authors.affiliation: Department of Radiology, Changzheng Hospital of the Second Military Medical University, Shanghai, China.
authors.forename: Li
authors.initials: L
authors.lastname: Fan
authors.forename: Yi
authors.initials: Y
authors.lastname: Xia
authors.forename: Yu
authors.initials: Y
authors.lastname: Guan
authors.forename: Tie-feng
authors.initials: TF
authors.lastname: Zhang
authors.forename: Shi-yuan
authors.initials: SY
authors.lastname: Liu
mesh_terms: D000328:Adult; D000368:Aged; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008297:Male; D008875:Middle Aged; D055420:Perfusion Imaging / Q000379:methods; D010641:Phenotype; D011446:Prospective Studies; D029424:Pulmonary Disease, Chronic Obstructive / Q000000981:diagnostic imaging* / Q000503:physiopathology*; D012129:Respiratory Function Tests; D014057:Tomography, X-Ray Computed / Q000379:methods*
keywords: CT quantization; MR perfusion imaging; chronic obstructive pulmonary disease; phenotype; pulmonary function test