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Synchrotron Radiation-Based Refraction-Contrast Tomographic Images Using X-ray Dark-Field Imaging Optics in Human Lung Adenocarcinoma and Histologic Correlations

The aim of this study was to evaluate the clinical implication of synchrotron radiation imaging techniques for human lung adenocarcinoma in comparison with pathologic examination. A refraction-based tomographic imaging technique called the X-ray dark-field imaging (XDFI) method was used to obtain co...

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Autores principales: Yi, Eunjue, Sunaguchi, Naoki, Lee, Jeong Hyeon, Kim, Chul-Yong, Lee, Sungho, Jheon, Sanghoon, Ando, Masami, Seok, Yangki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7999731/
https://www.ncbi.nlm.nih.gov/pubmed/33801895
http://dx.doi.org/10.3390/diagnostics11030487
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author Yi, Eunjue
Sunaguchi, Naoki
Lee, Jeong Hyeon
Kim, Chul-Yong
Lee, Sungho
Jheon, Sanghoon
Ando, Masami
Seok, Yangki
author_facet Yi, Eunjue
Sunaguchi, Naoki
Lee, Jeong Hyeon
Kim, Chul-Yong
Lee, Sungho
Jheon, Sanghoon
Ando, Masami
Seok, Yangki
author_sort Yi, Eunjue
collection PubMed
description The aim of this study was to evaluate the clinical implication of synchrotron radiation imaging techniques for human lung adenocarcinoma in comparison with pathologic examination. A refraction-based tomographic imaging technique called the X-ray dark-field imaging (XDFI) method was used to obtain computed tomographic images of human lung adenocarcinoma at the beam line at Photon Factory BL 14B at the High Energy Accelerator Research Organization (KEK) in Tsukuba, Japan. Images of normal lung tissue were also obtained using the same methods and reconstructed as 3D images. Both reconstructed images were compared with pathologic examinations from histologic slides which were made with identical samples. Pulmonary alveolar structure including terminal bronchioles, alveolar sacs, and vasculatures could be identified in synchrotron radiation images of normal lung. Hyperplasia of interstitial tissue and dysplasia of alveolar structures were noticed in images of lung adenocarcinoma. Both synchrotron radiation images were considerably correlated with images from histologic slides. Lepidic patterns of cancer tissue were distinguished from the invasive area in synchrotron radiation images of lung adenocarcinoma. Refraction-contrast tomographic techniques using synchrotron radiation could provide high-resolution images of lung adenocarcinoma which are compatible with those from pathologic examinations.
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spelling pubmed-79997312021-03-28 Synchrotron Radiation-Based Refraction-Contrast Tomographic Images Using X-ray Dark-Field Imaging Optics in Human Lung Adenocarcinoma and Histologic Correlations Yi, Eunjue Sunaguchi, Naoki Lee, Jeong Hyeon Kim, Chul-Yong Lee, Sungho Jheon, Sanghoon Ando, Masami Seok, Yangki Diagnostics (Basel) Article The aim of this study was to evaluate the clinical implication of synchrotron radiation imaging techniques for human lung adenocarcinoma in comparison with pathologic examination. A refraction-based tomographic imaging technique called the X-ray dark-field imaging (XDFI) method was used to obtain computed tomographic images of human lung adenocarcinoma at the beam line at Photon Factory BL 14B at the High Energy Accelerator Research Organization (KEK) in Tsukuba, Japan. Images of normal lung tissue were also obtained using the same methods and reconstructed as 3D images. Both reconstructed images were compared with pathologic examinations from histologic slides which were made with identical samples. Pulmonary alveolar structure including terminal bronchioles, alveolar sacs, and vasculatures could be identified in synchrotron radiation images of normal lung. Hyperplasia of interstitial tissue and dysplasia of alveolar structures were noticed in images of lung adenocarcinoma. Both synchrotron radiation images were considerably correlated with images from histologic slides. Lepidic patterns of cancer tissue were distinguished from the invasive area in synchrotron radiation images of lung adenocarcinoma. Refraction-contrast tomographic techniques using synchrotron radiation could provide high-resolution images of lung adenocarcinoma which are compatible with those from pathologic examinations. MDPI 2021-03-10 /pmc/articles/PMC7999731/ /pubmed/33801895 http://dx.doi.org/10.3390/diagnostics11030487 Text en © 2021 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 (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ).
spellingShingle Article
Yi, Eunjue
Sunaguchi, Naoki
Lee, Jeong Hyeon
Kim, Chul-Yong
Lee, Sungho
Jheon, Sanghoon
Ando, Masami
Seok, Yangki
Synchrotron Radiation-Based Refraction-Contrast Tomographic Images Using X-ray Dark-Field Imaging Optics in Human Lung Adenocarcinoma and Histologic Correlations
title Synchrotron Radiation-Based Refraction-Contrast Tomographic Images Using X-ray Dark-Field Imaging Optics in Human Lung Adenocarcinoma and Histologic Correlations
title_full Synchrotron Radiation-Based Refraction-Contrast Tomographic Images Using X-ray Dark-Field Imaging Optics in Human Lung Adenocarcinoma and Histologic Correlations
title_fullStr Synchrotron Radiation-Based Refraction-Contrast Tomographic Images Using X-ray Dark-Field Imaging Optics in Human Lung Adenocarcinoma and Histologic Correlations
title_full_unstemmed Synchrotron Radiation-Based Refraction-Contrast Tomographic Images Using X-ray Dark-Field Imaging Optics in Human Lung Adenocarcinoma and Histologic Correlations
title_short Synchrotron Radiation-Based Refraction-Contrast Tomographic Images Using X-ray Dark-Field Imaging Optics in Human Lung Adenocarcinoma and Histologic Correlations
title_sort synchrotron radiation-based refraction-contrast tomographic images using x-ray dark-field imaging optics in human lung adenocarcinoma and histologic correlations
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7999731/
https://www.ncbi.nlm.nih.gov/pubmed/33801895
http://dx.doi.org/10.3390/diagnostics11030487
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