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Full-field optical coherence tomography for the analysis of fresh unstained human lobectomy specimens

BACKGROUND: Full-field optical coherence tomography (FFOCT) is a real-time imaging technique that generates high-resolution three-dimensional tomographic images from unprocessed and unstained tissues. Lack of tissue processing and associated artifacts, along with the ability to generate large-field...

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Autores principales: Jain, Manu, Narula, Navneet, Salamoon, Bekheit, Shevchuk, Maria M., Aggarwal, Amit, Altorki, Nasser, Stiles, Brendon, Boccara, Claude, Mukherjee, Sushmita
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3814996/
https://www.ncbi.nlm.nih.gov/pubmed/24244883
http://dx.doi.org/10.4103/2153-3539.119004
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author Jain, Manu
Narula, Navneet
Salamoon, Bekheit
Shevchuk, Maria M.
Aggarwal, Amit
Altorki, Nasser
Stiles, Brendon
Boccara, Claude
Mukherjee, Sushmita
author_facet Jain, Manu
Narula, Navneet
Salamoon, Bekheit
Shevchuk, Maria M.
Aggarwal, Amit
Altorki, Nasser
Stiles, Brendon
Boccara, Claude
Mukherjee, Sushmita
author_sort Jain, Manu
collection PubMed
description BACKGROUND: Full-field optical coherence tomography (FFOCT) is a real-time imaging technique that generates high-resolution three-dimensional tomographic images from unprocessed and unstained tissues. Lack of tissue processing and associated artifacts, along with the ability to generate large-field images quickly, warrants its exploration as an alternative diagnostic tool. MATERIALS AND METHODS: One section each from the tumor and from adjacent non-neoplastic tissue was collected from 13 human lobectomy specimens. They were imaged fresh with FFOCT and then submitted for routine histopathology. Two blinded pathologists independently rendered diagnoses based on FFOCT images. RESULTS: Normal lung architecture (alveoli, bronchi, pleura and blood vessels) was readily identified with FFOCT. Using FFOCT images alone, the study pathologists were able to correctly identify all tumor specimens and in many cases, the histological subtype of tumor (e.g., adenocarcinomas with various patterns). However, benign diagnosis was provided with high confidence in roughly half the tumor-free specimens (others were diagnosed as equivocal or false positive). Further analysis of these images revealed two major confounding features: (a) Extensive lung collapse and (b) presence of smoker's macrophages. On a closer inspection, however, the smoker's macrophages could often be identified as distinct from tumor cells based on their relative location in the alveoli, size and presence of anthracosis. We posit that greater pathologist experience, complemented with morphometric analysis and color-coding of image components, may help minimize the contribution of these confounders in the future. CONCLUSION: Our study provides evidence for the potential utility of FFOCT in identifying and differentiating lung tumors from non-neoplastic lung tissue. We foresee its potential as an adjunct to intra-surgical frozen section analysis for margin assessment, especially in limited lung resections.
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spelling pubmed-38149962013-11-16 Full-field optical coherence tomography for the analysis of fresh unstained human lobectomy specimens Jain, Manu Narula, Navneet Salamoon, Bekheit Shevchuk, Maria M. Aggarwal, Amit Altorki, Nasser Stiles, Brendon Boccara, Claude Mukherjee, Sushmita J Pathol Inform Original Article BACKGROUND: Full-field optical coherence tomography (FFOCT) is a real-time imaging technique that generates high-resolution three-dimensional tomographic images from unprocessed and unstained tissues. Lack of tissue processing and associated artifacts, along with the ability to generate large-field images quickly, warrants its exploration as an alternative diagnostic tool. MATERIALS AND METHODS: One section each from the tumor and from adjacent non-neoplastic tissue was collected from 13 human lobectomy specimens. They were imaged fresh with FFOCT and then submitted for routine histopathology. Two blinded pathologists independently rendered diagnoses based on FFOCT images. RESULTS: Normal lung architecture (alveoli, bronchi, pleura and blood vessels) was readily identified with FFOCT. Using FFOCT images alone, the study pathologists were able to correctly identify all tumor specimens and in many cases, the histological subtype of tumor (e.g., adenocarcinomas with various patterns). However, benign diagnosis was provided with high confidence in roughly half the tumor-free specimens (others were diagnosed as equivocal or false positive). Further analysis of these images revealed two major confounding features: (a) Extensive lung collapse and (b) presence of smoker's macrophages. On a closer inspection, however, the smoker's macrophages could often be identified as distinct from tumor cells based on their relative location in the alveoli, size and presence of anthracosis. We posit that greater pathologist experience, complemented with morphometric analysis and color-coding of image components, may help minimize the contribution of these confounders in the future. CONCLUSION: Our study provides evidence for the potential utility of FFOCT in identifying and differentiating lung tumors from non-neoplastic lung tissue. We foresee its potential as an adjunct to intra-surgical frozen section analysis for margin assessment, especially in limited lung resections. Medknow Publications & Media Pvt Ltd 2013-09-27 /pmc/articles/PMC3814996/ /pubmed/24244883 http://dx.doi.org/10.4103/2153-3539.119004 Text en Copyright: © 2013 Jain M http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Original Article
Jain, Manu
Narula, Navneet
Salamoon, Bekheit
Shevchuk, Maria M.
Aggarwal, Amit
Altorki, Nasser
Stiles, Brendon
Boccara, Claude
Mukherjee, Sushmita
Full-field optical coherence tomography for the analysis of fresh unstained human lobectomy specimens
title Full-field optical coherence tomography for the analysis of fresh unstained human lobectomy specimens
title_full Full-field optical coherence tomography for the analysis of fresh unstained human lobectomy specimens
title_fullStr Full-field optical coherence tomography for the analysis of fresh unstained human lobectomy specimens
title_full_unstemmed Full-field optical coherence tomography for the analysis of fresh unstained human lobectomy specimens
title_short Full-field optical coherence tomography for the analysis of fresh unstained human lobectomy specimens
title_sort full-field optical coherence tomography for the analysis of fresh unstained human lobectomy specimens
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3814996/
https://www.ncbi.nlm.nih.gov/pubmed/24244883
http://dx.doi.org/10.4103/2153-3539.119004
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