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5-ALA-assistant automated detection of lymph node metastasis in gastric cancer patients
BACKGROUND: 5-aminolevulinic acid (5-ALA) has been utilized for cancer diagnosis as a fluorescence probe. We have reported the feasibility of 5-ALA-induced protoporphyrin IX (PpIX) fluorescence for detecting lymph node (LN) metastasis in gastrointestinal malignancies. However, a major barrier to the...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Singapore
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7305096/ https://www.ncbi.nlm.nih.gov/pubmed/32048096 http://dx.doi.org/10.1007/s10120-020-01044-w |
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author | Matsumoto, Tatsuya Murayama, Yasutoshi Matsuo, Hisataka Okochi, Kengo Koshiishi, Naotaka Harada, Yoshinori Tanaka, Hideo Takamatsu, Tetsuro Otsuji, Eigo |
author_facet | Matsumoto, Tatsuya Murayama, Yasutoshi Matsuo, Hisataka Okochi, Kengo Koshiishi, Naotaka Harada, Yoshinori Tanaka, Hideo Takamatsu, Tetsuro Otsuji, Eigo |
author_sort | Matsumoto, Tatsuya |
collection | PubMed |
description | BACKGROUND: 5-aminolevulinic acid (5-ALA) has been utilized for cancer diagnosis as a fluorescence probe. We have reported the feasibility of 5-ALA-induced protoporphyrin IX (PpIX) fluorescence for detecting lymph node (LN) metastasis in gastrointestinal malignancies. However, a major barrier to the fluorescence diagnosis has been that the evaluation has been highly dependent on the observers. In this study, we examined the validity of a developed device for automated detection without subjectivity. METHODS: Gastric cancer patients who received oral administration of 5-ALA (20 mg/kg) prior to surgery were enrolled. For a total of 323 LNs obtained from 64 patients, the diagnostic results of the device were compared to those of conventional histopathological examination based on hematoxylin-and-eosin-stained slides. The accuracy with the device was compared to that of stereoscopic detection with conventional fluorescence microscopy for 211 LNs from 42 patients. We used two types of image processing that we previously developed to eliminate autofluorescence of background tissues: differential and ratio methods. RESULTS: For detection of metastasis in 323 LNs, the areas under the receiver operating characteristic curves with the differential method and ratio method were 0.921 and 0.909, respectively. The sensitivity, specificity, and accuracy with the differential method were 78.0%, 96.8%, and 94.4%; while those with the ratio method were 78.0%, 96.1%, and 93.8%, respectively. In 211 LN analysis, the diagnostic accuracy with the device was comparable to that of stereoscopic examination. CONCLUSION: Our device for automated detection of LN metastasis using 5-ALA can be a useful tool for intraoperative diagnosis. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s10120-020-01044-w) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-7305096 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer Singapore |
record_format | MEDLINE/PubMed |
spelling | pubmed-73050962020-06-22 5-ALA-assistant automated detection of lymph node metastasis in gastric cancer patients Matsumoto, Tatsuya Murayama, Yasutoshi Matsuo, Hisataka Okochi, Kengo Koshiishi, Naotaka Harada, Yoshinori Tanaka, Hideo Takamatsu, Tetsuro Otsuji, Eigo Gastric Cancer Original Article BACKGROUND: 5-aminolevulinic acid (5-ALA) has been utilized for cancer diagnosis as a fluorescence probe. We have reported the feasibility of 5-ALA-induced protoporphyrin IX (PpIX) fluorescence for detecting lymph node (LN) metastasis in gastrointestinal malignancies. However, a major barrier to the fluorescence diagnosis has been that the evaluation has been highly dependent on the observers. In this study, we examined the validity of a developed device for automated detection without subjectivity. METHODS: Gastric cancer patients who received oral administration of 5-ALA (20 mg/kg) prior to surgery were enrolled. For a total of 323 LNs obtained from 64 patients, the diagnostic results of the device were compared to those of conventional histopathological examination based on hematoxylin-and-eosin-stained slides. The accuracy with the device was compared to that of stereoscopic detection with conventional fluorescence microscopy for 211 LNs from 42 patients. We used two types of image processing that we previously developed to eliminate autofluorescence of background tissues: differential and ratio methods. RESULTS: For detection of metastasis in 323 LNs, the areas under the receiver operating characteristic curves with the differential method and ratio method were 0.921 and 0.909, respectively. The sensitivity, specificity, and accuracy with the differential method were 78.0%, 96.8%, and 94.4%; while those with the ratio method were 78.0%, 96.1%, and 93.8%, respectively. In 211 LN analysis, the diagnostic accuracy with the device was comparable to that of stereoscopic examination. CONCLUSION: Our device for automated detection of LN metastasis using 5-ALA can be a useful tool for intraoperative diagnosis. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s10120-020-01044-w) contains supplementary material, which is available to authorized users. Springer Singapore 2020-02-11 2020 /pmc/articles/PMC7305096/ /pubmed/32048096 http://dx.doi.org/10.1007/s10120-020-01044-w Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Original Article Matsumoto, Tatsuya Murayama, Yasutoshi Matsuo, Hisataka Okochi, Kengo Koshiishi, Naotaka Harada, Yoshinori Tanaka, Hideo Takamatsu, Tetsuro Otsuji, Eigo 5-ALA-assistant automated detection of lymph node metastasis in gastric cancer patients |
title | 5-ALA-assistant automated detection of lymph node metastasis in gastric cancer patients |
title_full | 5-ALA-assistant automated detection of lymph node metastasis in gastric cancer patients |
title_fullStr | 5-ALA-assistant automated detection of lymph node metastasis in gastric cancer patients |
title_full_unstemmed | 5-ALA-assistant automated detection of lymph node metastasis in gastric cancer patients |
title_short | 5-ALA-assistant automated detection of lymph node metastasis in gastric cancer patients |
title_sort | 5-ala-assistant automated detection of lymph node metastasis in gastric cancer patients |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7305096/ https://www.ncbi.nlm.nih.gov/pubmed/32048096 http://dx.doi.org/10.1007/s10120-020-01044-w |
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