Optimizing optical coherence tomography and histopathology correlation in retinal imaging.


Journal

Canadian journal of ophthalmology. Journal canadien d'ophtalmologie
ISSN: 1715-3360
Titre abrégé: Can J Ophthalmol
Pays: England
ID NLM: 0045312

Informations de publication

Date de publication:
04 2019
Historique:
received: 31 05 2018
revised: 21 06 2018
accepted: 28 06 2018
entrez: 13 4 2019
pubmed: 13 4 2019
medline: 12 5 2020
Statut: ppublish

Résumé

To develop a methodology to correlate optical coherence tomography (OCT) images and histopathological sections from the same eye. Part 1: To determine the best fixative for optimal OCT and histopathological analysis in post-mortem eyes. Part 2: A protocol is proposed to correlate histopathological features and OCT scans from the same post-mortem eyes. Experimental study. Part 1: Twenty-three rabbit eyes and 14 post-mortem human eyes. Part 2: Nineteen post-mortem human eyes. Part 1: Six different fixatives were tested, and specimens were evaluated on 4 criteria: globe shape, structure opacification, retinal detachment, and nuclear details. Part 2: Based on the findings from Part 1, fixed human eyes were imaged using OCT. Orientation-controlled histopathological processing was performed to obtain serial tissue sections from paraffin embedded tissue, which were matched to corresponding OCT images. Part 1: Of the 6 fixatives, 2% glutaraldehyde and Davidson's solution met the proposed criteria in rabbit eyes. Of these, glutaraldehyde showed similar results in human eyes and was selected for Part 2. Part 2: Using anatomical landmarks, cross-sectional histopathological sections in the same orientation as the OCT images were correlated to their corresponding OCT images. Retinal lesions such as a macular hole, an epiretinal membrane, and the presence of drusen were easily correlated, proving the reliability of our methodology. Moreover, the photoreceptor's inner/outer junction was correlated to a hyperreflective band on OCT. A standardized protocol was developed to correlate OCT images and histopathological findings by generating serial cross-sections of the retina, which can be used to better understand otherwise ambiguous OCT findings.

Identifiants

pubmed: 30975355
pii: S0008-4182(18)30573-8
doi: 10.1016/j.jcjo.2018.06.024
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

280-287

Informations de copyright

Copyright © 2018 Canadian Ophthalmological Society. Published by Elsevier Inc. All rights reserved.

Auteurs

Carlos A Moreira-Neto (CA)

Pathology Department, McGill University, Montreal, Que., Canada; Ophthalmology Department, Federal University of São Paulo, São Paulo, Brazil; Hospital de Olhos do Paraná, Curitiba, Brazil. Electronic address: camoreiraneto@gmail.com.

Sabrina Bergeron (S)

Pathology Department, McGill University, Montreal, Que., Canada.

Jacqueline Coblentz (J)

Pathology Department, McGill University, Montreal, Que., Canada; Ophthalmology Department, Federal University of São Paulo, São Paulo, Brazil.

Pablo Zoroquiain (P)

Pathology Department, McGill University, Montreal, Que., Canada.

Shawn Maloney (S)

Pathology Department, McGill University, Montreal, Que., Canada.

Christina Mastromonaco (C)

Pathology Department, McGill University, Montreal, Que., Canada.

Evangelina Esposito (E)

Pathology Department, McGill University, Montreal, Que., Canada.

André Romano (A)

Pathology Department, McGill University, Montreal, Que., Canada; Ophthalmology Department, Federal University of São Paulo, São Paulo, Brazil.

Rubens Belfort Neto (R)

Ophthalmology Department, Federal University of São Paulo, São Paulo, Brazil.

Carlos A Moreira (CA)

Ophthalmology Department, Federal University of São Paulo, São Paulo, Brazil; Hospital de Olhos do Paraná, Curitiba, Brazil.

Julia V Burnier (JV)

Pathology Department, McGill University, Montreal, Que., Canada; Ophthalmology Department, Federal University of São Paulo, São Paulo, Brazil.

Miguel Burnier (M)

Pathology Department, McGill University, Montreal, Que., Canada; Ophthalmology Department, Federal University of São Paulo, São Paulo, Brazil.

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Classifications MeSH