Clinical Cancer Research Bridging the Lab and the Clinic in Cancer Medicine Infection and Cancer: Biology, Therapeutics, and Prevention
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Clinical Cancer Research Vol. 12, 813-818, February 2006
© 2006 American Association for Cancer Research


Imaging, Diagnosis, Prognosis

Optical Coherence Tomography: Real-time Imaging of Bronchial Airways Microstructure and Detection of Inflammatory/Neoplastic Morphologic Changes

Suzanne C. Whiteman1,2, Ying Yang1, Daniel Gey van Pittius3, Mark Stephens3, Jitendra Parmer4 and Monica A. Spiteri1,2

Authors' Affiliations: 1 Institute of Science and Technology in Medicine, Keele University; 2 Directorate of Respiratory Medicine; Departments of 3 Histopathology and 4 Cardiothoracic Surgery, University Hospital of North Staffordshire, Stoke-on-Trent, United Kingdom

Requests for reprints: Suzanne Whiteman, Lung Research, Institute of Science and Technology in Medicine, School of Postgraduate Medicine, Keele University, Hartshill, Stoke-on-Trent, ST4 7QB, United Kingdom. Phone: 44-1782-554765; Fax: 44-1782-747319; E-mail: suzannewhiteman{at}yahoo.co.uk.

Purpose: Current diagnostic imaging modalities for human bronchial airways do not possess sufficient resolution and tissue penetration depth to detect early morphologic changes and to differentiate in real-time neoplastic pathology from nonspecific aberrations. Optical coherence tomography (OCT) possesses the requisite high spatial resolution for reproducible delineation of endobronchial wall profiling.

Experimental Design: To establish whether OCT could differentiate between the composite microstructural layers of the human airways and simultaneously determine in situ morphologic changes, using a bench-top OCT system, we obtained cross-sectional images of bronchi from 15 patients undergoing lung resections for cancer. All scanned sections underwent subsequent detailed histologic analysis, allowing direct comparisons to be made.

Results: OCT imaging enables characterization of the multilayered microstructural anatomy of the airways, with a maximum penetration depth up to 2 to 3 mm and 10-µm spatial resolution. The epithelium, subepithelial components, and cartilage are individually defined. The acquired OCT images closely match histologically defined patterns in terms of structural profiles. Furthermore, OCT identifies in situ morphologic changes associated with inflammatory infiltrates, squamous metaplasia, and tumor presence.

Conclusions: Our results confirm that OCT is a highly feasible optical tool for real-time near-histologic imaging of endobronchial pathology, with potential for lung cancer surveillance applications in diagnosis and treatment.




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HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Cancer Research Clinical Cancer Research
Cancer Epidemiology Biomarkers & Prevention Molecular Cancer Therapeutics
Molecular Cancer Research Cancer Prevention Research
Cancer Prevention Journals Portal Cancer Reviews Online
Annual Meeting Education Book Meeting Abstracts Online
Copyright © 2006 by the American Association for Cancer Research.