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Optical coherence tomography for identification and quantification of human airway wall layers

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  • Julia N S d’Hooghe
  • Annika W M Goorsenberg
  • Daniel M de Bruin
  • Joris J T H Roelofs
  • Jouke T Annema
  • Peter I Bonta

Abstract

Background: High-resolution computed tomography has limitations in the assessment of airway wall layers and related remodeling in obstructive lung diseases. Near infrared-based optical coherence tomography (OCT) is a novel imaging technique that combined with bronchoscopy generates highly detailed images of the airway wall. The aim of this study is to identify and quantify human airway wall layers both ex-vivo and in-vivo by OCT and correlate these to histology. Methods: Patients with lung cancer, prior to lobectomy, underwent bronchoscopy including in-vivo OCT imaging. Ex-vivo OCT imaging was performed in the resected lung lobe after needle insertion for matching with histology. Airway wall layer perimeters and their corresponding areas were assessed by two independent observers. Airway wall layer areas (total wall area, mucosal layer area and submucosal muscular layer area) were calculated. Results: 13 airways of 5 patients were imaged by OCT. Histology was matched with 51 ex-vivo OCT images and 39 in-vivo OCT images. A significant correlation was found between ex-vivo OCT imaging and histology, in-vivo OCT imaging and histology and ex-vivo OCT imaging and in-vivo OCT imaging for all measurements (p

Suggested Citation

  • Julia N S d’Hooghe & Annika W M Goorsenberg & Daniel M de Bruin & Joris J T H Roelofs & Jouke T Annema & Peter I Bonta, 2017. "Optical coherence tomography for identification and quantification of human airway wall layers," PLOS ONE, Public Library of Science, vol. 12(10), pages 1-13, October.
    • Handle: RePEc:plo:pone00:0184145
    DOI: 10.1371/journal.pone.0184145
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