» Articles » PMID: 25562183

Diagnosing Lung Carcinomas with Optical Coherence Tomography

Overview
Specialty Pulmonary Medicine
Date 2015 Jan 7
PMID 25562183
Citations 24
Authors
Affiliations
Soon will be listed here.
Abstract

Rationale: Lung carcinoma diagnosis on tissue biopsy can be challenging because of insufficient tumor and lack of architectural information. Optical coherence tomography (OCT) is a high-resolution imaging modality that visualizes tissue microarchitecture in volumes orders of magnitude larger than biopsy. It has been proposed that OCT could potentially replace tissue biopsy.

Objectives: We aim to determine whether OCT could replace histology in diagnosing lung carcinomas. We develop and validate OCT interpretation criteria for common primary lung carcinomas: adenocarcinoma, squamous cell carcinoma (SCC), and poorly differentiated carcinoma.

Methods: A total of 82 ex vivo tumor samples were included in a blinded assessment with 3 independent readers. Readers were trained on the OCT criteria, and applied these criteria to diagnose adenocarcinoma, SCC, or poorly differentiated carcinoma in an OCT validation dataset. After a 7-month period, the readers repeated the training and validation dataset interpretation. An independent pathologist reviewed corresponding histology.

Measurements And Main Results: The average accuracy achieved by the readers was 82.6% (range, 73.7-94.7%). The sensitivity and specificity for adenocarcinoma were 80.3% (65.7-91.4%) and 88.6% (80.5-97.6%), respectively. The sensitivity and specificity for SCC were 83.3% (70.0-100.0%) and 87.0% (75.0-96.5%), respectively. The sensitivity and specificity for poorly differentiated carcinoma were 85.7% (81.0-95.2%) and 97.6% (92.9-100.0%), respectively.

Conclusions: Although these results are encouraging, they indicate that OCT cannot replace histology in the diagnosis of lung carcinomas. However, OCT has potential to aid in diagnosing lung carcinomas as a complement to tissue biopsy, particularly when insufficient tissue is available for pathology assessment.

Citing Articles

Spatial lung imaging in clinical and translational settings.

Mahmutovic Persson I, Bozovic G, Westergren-Thorsson G, Rolandsson Enes S Breathe (Sheff). 2024; 20(3):230224.

PMID: 39360023 PMC: 11444490. DOI: 10.1183/20734735.0224-2023.


Motor-free telerobotic endomicroscopy for steerable and programmable imaging in complex curved and localized areas.

Yuan S, Xu C, Cui B, Zhang T, Liang B, Yuan W Nat Commun. 2024; 15(1):7680.

PMID: 39227604 PMC: 11372151. DOI: 10.1038/s41467-024-51633-x.


Wide-field optical coherence tomography for microstructural analysis of key tissue types: a proof-of-concept evaluation.

Rabindran B, Corben A Pathol Oncol Res. 2023; 29:1611167.

PMID: 37521364 PMC: 10374948. DOI: 10.3389/pore.2023.1611167.


Optical coherence tomography.

Bouma B, de Boer J, Huang D, Jang I, Yonetsu T, Leggett C Nat Rev Methods Primers. 2023; 2.

PMID: 36751306 PMC: 9901537. DOI: 10.1038/s43586-022-00162-2.


Novel image features of optical coherence tomography for pathological classification of lung cancer: Results from a prospective clinical trial.

Zhu Q, Yu H, Liang Z, Zhao W, Zhu M, Xu Y Front Oncol. 2022; 12:870556.

PMID: 36338729 PMC: 9634220. DOI: 10.3389/fonc.2022.870556.


References
1.
Quirk B, McLaughlin R, Curatolo A, Kirk R, Noble P, Sampson D . In situ imaging of lung alveoli with an optical coherence tomography needle probe. J Biomed Opt. 2011; 16(3):036009. DOI: 10.1117/1.3556719. View

2.
Kuo W, Kim J, Shemonski N, Chaney E, Spillman Jr D, Boppart S . Real-time three-dimensional optical coherence tomography image-guided core-needle biopsy system. Biomed Opt Express. 2012; 3(6):1149-61. PMC: 3370958. DOI: 10.1364/BOE.3.001149. View

3.
Hariri L, Mino-Kenudson M, Mark E, Suter M . In vivo optical coherence tomography: the role of the pathologist. Arch Pathol Lab Med. 2012; 136(12):1492-501. DOI: 10.5858/arpa.2012-0252-SA. View

4.
Hou R, Le T, Murgu S, Chen Z, Brenner M . Recent advances in optical coherence tomography for the diagnoses of lung disorders. Expert Rev Respir Med. 2011; 5(5):711-24. PMC: 3393648. DOI: 10.1586/ers.11.59. View

5.
Hariri L, Applegate M, Mino-Kenudson M, Mark E, Bouma B, Tearney G . Optical frequency domain imaging of ex vivo pulmonary resection specimens: obtaining one to one image to histopathology correlation. J Vis Exp. 2013; (71). PMC: 3582683. DOI: 10.3791/3855. View