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Comparison of Ultra-Magnifying Endocytoscopic and Hematoxylin-Eosin-Stained Images of Lung Specimens

Endocytoscopy enables real-time observation of lesions at ultra-magnification. In the gastrointestinal and respiratory fields, endocytoscopic images are similar to hematoxylin-eosin-stained images. This study aimed to compare the nuclear features of pulmonary lesions in endocytoscopic and hematoxyli...

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Autores principales: Kobayashi, Misato, Kurimoto, Noriaki, Tanino, Ryosuke, Shiratsuki, Yohei, Okuno, Takae, Nakao, Mika, Hotta, Takamasa, Tsubata, Yukari, Nagasaki, Makoto, Nishisaka, Takashi, Isobe, Takeshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10000767/
https://www.ncbi.nlm.nih.gov/pubmed/36900147
http://dx.doi.org/10.3390/diagnostics13051003
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author Kobayashi, Misato
Kurimoto, Noriaki
Tanino, Ryosuke
Shiratsuki, Yohei
Okuno, Takae
Nakao, Mika
Hotta, Takamasa
Tsubata, Yukari
Nagasaki, Makoto
Nishisaka, Takashi
Isobe, Takeshi
author_facet Kobayashi, Misato
Kurimoto, Noriaki
Tanino, Ryosuke
Shiratsuki, Yohei
Okuno, Takae
Nakao, Mika
Hotta, Takamasa
Tsubata, Yukari
Nagasaki, Makoto
Nishisaka, Takashi
Isobe, Takeshi
author_sort Kobayashi, Misato
collection PubMed
description Endocytoscopy enables real-time observation of lesions at ultra-magnification. In the gastrointestinal and respiratory fields, endocytoscopic images are similar to hematoxylin-eosin-stained images. This study aimed to compare the nuclear features of pulmonary lesions in endocytoscopic and hematoxylin-eosin-stained images. We performed an endocytoscopy to observe resected specimens of normal lung tissue and lesions. Nuclear features were extracted using ImageJ. We analyzed five nuclear features: nuclear number per area, mean nucleus area, median circularity, coefficient of variation of roundness, and median Voronoi area. We conducted dimensionality reduction analyses for these features, followed by assessments of the inter-observer agreement among two pathologists and two pulmonologists to evaluate endocytoscopic videos. We analyzed the nuclear features of hematoxylin-eosin-stained and endocytoscopic images from 40 and 33 cases, respectively. Endocytoscopic and hematoxylin-eosin-stained images displayed a similar tendency for each feature, despite there being no correlation. Conversely, the dimensionality reduction analyses demonstrated similar distributions of normal lung and malignant clusters in both images, thus differentiating between the clusters. The diagnostic accuracy of the pathologists was 58.3% and 52.8% (κ-value 0.38, fair), and that of the pulmonologists was 50% and 47.2% (κ-value 0.33, fair). The five nuclear features of pulmonary lesions were similar in the endocytoscopic and hematoxylin-eosin-stained images.
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spelling pubmed-100007672023-03-11 Comparison of Ultra-Magnifying Endocytoscopic and Hematoxylin-Eosin-Stained Images of Lung Specimens Kobayashi, Misato Kurimoto, Noriaki Tanino, Ryosuke Shiratsuki, Yohei Okuno, Takae Nakao, Mika Hotta, Takamasa Tsubata, Yukari Nagasaki, Makoto Nishisaka, Takashi Isobe, Takeshi Diagnostics (Basel) Article Endocytoscopy enables real-time observation of lesions at ultra-magnification. In the gastrointestinal and respiratory fields, endocytoscopic images are similar to hematoxylin-eosin-stained images. This study aimed to compare the nuclear features of pulmonary lesions in endocytoscopic and hematoxylin-eosin-stained images. We performed an endocytoscopy to observe resected specimens of normal lung tissue and lesions. Nuclear features were extracted using ImageJ. We analyzed five nuclear features: nuclear number per area, mean nucleus area, median circularity, coefficient of variation of roundness, and median Voronoi area. We conducted dimensionality reduction analyses for these features, followed by assessments of the inter-observer agreement among two pathologists and two pulmonologists to evaluate endocytoscopic videos. We analyzed the nuclear features of hematoxylin-eosin-stained and endocytoscopic images from 40 and 33 cases, respectively. Endocytoscopic and hematoxylin-eosin-stained images displayed a similar tendency for each feature, despite there being no correlation. Conversely, the dimensionality reduction analyses demonstrated similar distributions of normal lung and malignant clusters in both images, thus differentiating between the clusters. The diagnostic accuracy of the pathologists was 58.3% and 52.8% (κ-value 0.38, fair), and that of the pulmonologists was 50% and 47.2% (κ-value 0.33, fair). The five nuclear features of pulmonary lesions were similar in the endocytoscopic and hematoxylin-eosin-stained images. MDPI 2023-03-06 /pmc/articles/PMC10000767/ /pubmed/36900147 http://dx.doi.org/10.3390/diagnostics13051003 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Kobayashi, Misato
Kurimoto, Noriaki
Tanino, Ryosuke
Shiratsuki, Yohei
Okuno, Takae
Nakao, Mika
Hotta, Takamasa
Tsubata, Yukari
Nagasaki, Makoto
Nishisaka, Takashi
Isobe, Takeshi
Comparison of Ultra-Magnifying Endocytoscopic and Hematoxylin-Eosin-Stained Images of Lung Specimens
title Comparison of Ultra-Magnifying Endocytoscopic and Hematoxylin-Eosin-Stained Images of Lung Specimens
title_full Comparison of Ultra-Magnifying Endocytoscopic and Hematoxylin-Eosin-Stained Images of Lung Specimens
title_fullStr Comparison of Ultra-Magnifying Endocytoscopic and Hematoxylin-Eosin-Stained Images of Lung Specimens
title_full_unstemmed Comparison of Ultra-Magnifying Endocytoscopic and Hematoxylin-Eosin-Stained Images of Lung Specimens
title_short Comparison of Ultra-Magnifying Endocytoscopic and Hematoxylin-Eosin-Stained Images of Lung Specimens
title_sort comparison of ultra-magnifying endocytoscopic and hematoxylin-eosin-stained images of lung specimens
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10000767/
https://www.ncbi.nlm.nih.gov/pubmed/36900147
http://dx.doi.org/10.3390/diagnostics13051003
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