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Noninvasive Imaging Biomarker Identifies Small Airway Damage in Severe Chronic Obstructive Pulmonary Disease.
Vasilescu, Dragos M; Martinez, Fernando J; Marchetti, Nathaniel; Galbán, Craig J; Hatt, Charles; Meldrum, Catherine A; Dass, Chandra; Tanabe, Naoya; Reddy, Rishindra M; Lagstein, Amir; Ross, Brian D; Labaki, Wassim W; Murray, Susan; Meng, Xia; Curtis, Jeffrey L; Hackett, Tillie L; Kazerooni, Ella A; Criner, Gerard J; Hogg, James C; Han, MeiLan K.
Afiliação
  • Vasilescu DM; University of British Columbia, Vancouver, British Columbia, Canada.
  • Martinez FJ; Weill Cornell Medical College, New York, New York.
  • Marchetti N; Lewis Katz School of Medicine, Temple University, Philadelphia, Pennsylvania.
  • Galbán CJ; University of Michigan, Ann Arbor, Michigan.
  • Hatt C; University of Michigan, Ann Arbor, Michigan.
  • Meldrum CA; Imbio, Minneapolis, Minnesota.
  • Dass C; University of Michigan, Ann Arbor, Michigan.
  • Tanabe N; Lewis Katz School of Medicine, Temple University, Philadelphia, Pennsylvania.
  • Reddy RM; Kyoto University, Kyoto, Japan; and.
  • Lagstein A; University of Michigan, Ann Arbor, Michigan.
  • Ross BD; University of Michigan, Ann Arbor, Michigan.
  • Labaki WW; University of Michigan, Ann Arbor, Michigan.
  • Murray S; University of Michigan, Ann Arbor, Michigan.
  • Meng X; University of Michigan, Ann Arbor, Michigan.
  • Hackett TL; University of Michigan, Ann Arbor, Michigan.
  • Kazerooni EA; VA Ann Arbor Healthcare System, Ann Arbor, Michigan.
  • Criner GJ; University of British Columbia, Vancouver, British Columbia, Canada.
  • Hogg JC; University of Michigan, Ann Arbor, Michigan.
  • Han MK; Lewis Katz School of Medicine, Temple University, Philadelphia, Pennsylvania.
Am J Respir Crit Care Med ; 200(5): 575-581, 2019 09 01.
Article em En | MEDLINE | ID: mdl-30794432
ABSTRACT
Rationale Evidence suggests damage to small airways is a key pathologic lesion in chronic obstructive pulmonary disease (COPD). Computed tomography densitometry has been demonstrated to identify emphysema, but no such studies have been performed linking an imaging metric to small airway abnormality.

Objectives:

To correlate ex vivo parametric response mapping (PRM) analysis to in vivo lung tissue measurements of patients with severe COPD treated by lung transplantation and control subjects.

Methods:

Resected lungs were inflated, frozen, and systematically sampled, generating 33 COPD (n = 11 subjects) and 22 control tissue samples (n = 3 subjects) for micro-computed tomography analysis of terminal bronchioles (TBs; last generation of conducting airways) and emphysema.Measurements and Main

Results:

PRM analysis was conducted to differentiate functional small airways disease (PRMfSAD) from emphysema (PRMEmph). In COPD lungs, TB numbers were reduced (P = 0.01); surviving TBs had increased wall area percentage (P < 0.001), decreased circularity (P < 0.001), reduced cross-sectional luminal area (P < 0.001), and greater airway obstruction (P = 0.008). COPD lungs had increased airspace size (P < 0.001) and decreased alveolar surface area (P < 0.001). Regression analyses demonstrated unique correlations between PRMfSAD and TBs, with decreased circularity (P < 0.001), decreased luminal area (P < 0.001), and complete obstruction (P = 0.008). PRMEmph correlated with increased airspace size (P < 0.001), decreased alveolar surface area (P = 0.003), and fewer alveolar attachments per TB (P = 0.01).

Conclusions:

PRMfSAD identifies areas of lung tissue with TB loss, luminal narrowing, and obstruction. This is the first confirmation that an imaging biomarker can identify terminal bronchial pathology in established COPD and provides a noninvasive imaging methodology to identify small airway damage in COPD.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Observational_studies / Prevalence_studies / Risk_factors_studies Limite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Observational_studies / Prevalence_studies / Risk_factors_studies Limite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2019 Tipo de documento: Article