Quantitative diagnostic algorithm using endocytoscopy for superficial nonampullary duodenal epithelial tumors
Optical biopsy using endocytoscopy for superficial nonampullary duodenal epithelial tumors (SNADETs) is practical; however, a diagnostic algorithm has not been established. The aim of this study was to determine correlations of endocytoscopic findings of SNADETs with histology using computer analysi...
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| Veröffentlicht in: | Journal of gastroenterology and hepatology 2023-09, Vol.38 (9), p.1496-1502 |
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| container_title | Journal of gastroenterology and hepatology |
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| creator | Kubo, Marina Ono, Shoko Yokota, Isao Matsumoto, Shogo Nishimura, Yusuke Ono, Masayoshi Yamamoto, Keiko Sakamoto, Naoya |
| description | Optical biopsy using endocytoscopy for superficial nonampullary duodenal epithelial tumors (SNADETs) is practical; however, a diagnostic algorithm has not been established. The aim of this study was to determine correlations of endocytoscopic findings of SNADETs with histology using computer analysis and to establish an algorithm.
Endocytoscopic images and histological images of duodenal lesions from 70 patients were retrospectively collected. The numbers of glands and densely stained areas with methylene blue (DSMs) per 1 mm
and the percentage of DSMs per screen in endocytoscopy were determined. Moreover, correlations in DSMs and glands between endocytoscopy and histological images were analyzed. Histopathological diagnoses were assessed according to the revised Vienna classification. The primary outcome was correlation between the number of glands in endocytoscopy and that in histology. Finally, a diagnostic algorithm for endoscopic intervention of SNADETs with a statistical program command was established.
The number of glands in endocytoscopic images was correlated with that in histopathological images (ρ 0.64, P |
| doi_str_mv | 10.1111/jgh.16207 |
| format | Article |
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Endocytoscopic images and histological images of duodenal lesions from 70 patients were retrospectively collected. The numbers of glands and densely stained areas with methylene blue (DSMs) per 1 mm
and the percentage of DSMs per screen in endocytoscopy were determined. Moreover, correlations in DSMs and glands between endocytoscopy and histological images were analyzed. Histopathological diagnoses were assessed according to the revised Vienna classification. The primary outcome was correlation between the number of glands in endocytoscopy and that in histology. Finally, a diagnostic algorithm for endoscopic intervention of SNADETs with a statistical program command was established.
The number of glands in endocytoscopic images was correlated with that in histopathological images (ρ 0.64, P < 0.001). There were significant differences in the mean number of glands between category 4/5 and category 3 (P = 0.03) and the mean percentage of DSMs between category 4/5 and category 1 (P < 0.001). When the cutoffs for the number of glands and percentage of DSMs were set at 47 per 1 mm
and 20.8% in one screen, respectively, the area under the ROC curve was 0.89.
Endocytoscopic images of SNADETs reflect histopathological atypia, and computer analysis provides a practical diagnostic algorithm for endoscopic intervention.</description><identifier>ISSN: 0815-9319</identifier><identifier>ISSN: 1440-1746</identifier><identifier>EISSN: 1440-1746</identifier><identifier>DOI: 10.1111/jgh.16207</identifier><identifier>PMID: 37129220</identifier><language>eng</language><publisher>Australia: Wiley Subscription Services, Inc</publisher><subject>Algorithms ; Biopsy ; Computer applications ; Endoscopy ; Glands ; Histology ; Methylene blue ; Statistical analysis ; Tumors</subject><ispartof>Journal of gastroenterology and hepatology, 2023-09, Vol.38 (9), p.1496-1502</ispartof><rights>2023 Journal of Gastroenterology and Hepatology Foundation and John Wiley & Sons Australia, Ltd.</rights><rights>2023 Journal of Gastroenterology and Hepatology Foundation and John Wiley & Sons Australia, Ltd</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c313t-f1223e1013d7602ab36d7473e2cd76613017e5f265a4abe2024a76cc2f1feda83</citedby><cites>FETCH-LOGICAL-c313t-f1223e1013d7602ab36d7473e2cd76613017e5f265a4abe2024a76cc2f1feda83</cites><orcidid>0000-0001-6254-2225 ; 0000-0003-0061-059X ; 0000-0001-9956-134X ; 0000-0002-4485-6367 ; 0000-0003-2343-2984 ; 0000-0002-3116-1638 ; 0000-0002-7471-0676</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37129220$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kubo, Marina</creatorcontrib><creatorcontrib>Ono, Shoko</creatorcontrib><creatorcontrib>Yokota, Isao</creatorcontrib><creatorcontrib>Matsumoto, Shogo</creatorcontrib><creatorcontrib>Nishimura, Yusuke</creatorcontrib><creatorcontrib>Ono, Masayoshi</creatorcontrib><creatorcontrib>Yamamoto, Keiko</creatorcontrib><creatorcontrib>Sakamoto, Naoya</creatorcontrib><title>Quantitative diagnostic algorithm using endocytoscopy for superficial nonampullary duodenal epithelial tumors</title><title>Journal of gastroenterology and hepatology</title><addtitle>J Gastroenterol Hepatol</addtitle><description>Optical biopsy using endocytoscopy for superficial nonampullary duodenal epithelial tumors (SNADETs) is practical; however, a diagnostic algorithm has not been established. The aim of this study was to determine correlations of endocytoscopic findings of SNADETs with histology using computer analysis and to establish an algorithm.
Endocytoscopic images and histological images of duodenal lesions from 70 patients were retrospectively collected. The numbers of glands and densely stained areas with methylene blue (DSMs) per 1 mm
and the percentage of DSMs per screen in endocytoscopy were determined. Moreover, correlations in DSMs and glands between endocytoscopy and histological images were analyzed. Histopathological diagnoses were assessed according to the revised Vienna classification. The primary outcome was correlation between the number of glands in endocytoscopy and that in histology. Finally, a diagnostic algorithm for endoscopic intervention of SNADETs with a statistical program command was established.
The number of glands in endocytoscopic images was correlated with that in histopathological images (ρ 0.64, P < 0.001). There were significant differences in the mean number of glands between category 4/5 and category 3 (P = 0.03) and the mean percentage of DSMs between category 4/5 and category 1 (P < 0.001). When the cutoffs for the number of glands and percentage of DSMs were set at 47 per 1 mm
and 20.8% in one screen, respectively, the area under the ROC curve was 0.89.
Endocytoscopic images of SNADETs reflect histopathological atypia, and computer analysis provides a practical diagnostic algorithm for endoscopic intervention.</description><subject>Algorithms</subject><subject>Biopsy</subject><subject>Computer applications</subject><subject>Endoscopy</subject><subject>Glands</subject><subject>Histology</subject><subject>Methylene blue</subject><subject>Statistical analysis</subject><subject>Tumors</subject><issn>0815-9319</issn><issn>1440-1746</issn><issn>1440-1746</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNpdkUlLxEAQhRtRdFwO_gEJeNFDtHpJOjmKuIEggp5DT6cy00OSjr0I8-_tcdSDdSkoPh6v3iPklMIVTXO9WiyvaMlA7pAZFQJyKkW5S2ZQ0SKvOa0PyKH3KwAQIIt9csAlZTVjMCPDa1RjMEEF84lZa9RitD4Ynal-YZ0JyyGL3oyLDMfW6nWwXttpnXXWZT5O6Dqjjeqz0Y5qmGLfK7fO2mhbHNMVpySA_QYIcbDOH5O9TvUeT372EXm_v3u7fcyfXx6ebm-ec80pD3lHGeNIgfJWlsDUnJetFJIj0-lQUg5UYtGxslBCzZEBE0qWWrOOdtiqih-Ri63u5OxHRB-awXiNyd6INvqGVVAVNdRcJvT8H7qy0SX3G6oUVUpVQKIut5R21nuHXTM5M6RnGwrNpoMmddB8d5DYsx_FOB-w_SN_Q-df5b6DxQ</recordid><startdate>20230901</startdate><enddate>20230901</enddate><creator>Kubo, Marina</creator><creator>Ono, Shoko</creator><creator>Yokota, Isao</creator><creator>Matsumoto, Shogo</creator><creator>Nishimura, Yusuke</creator><creator>Ono, Masayoshi</creator><creator>Yamamoto, Keiko</creator><creator>Sakamoto, Naoya</creator><general>Wiley Subscription Services, Inc</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7T5</scope><scope>7U9</scope><scope>H94</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0001-6254-2225</orcidid><orcidid>https://orcid.org/0000-0003-0061-059X</orcidid><orcidid>https://orcid.org/0000-0001-9956-134X</orcidid><orcidid>https://orcid.org/0000-0002-4485-6367</orcidid><orcidid>https://orcid.org/0000-0003-2343-2984</orcidid><orcidid>https://orcid.org/0000-0002-3116-1638</orcidid><orcidid>https://orcid.org/0000-0002-7471-0676</orcidid></search><sort><creationdate>20230901</creationdate><title>Quantitative diagnostic algorithm using endocytoscopy for superficial nonampullary duodenal epithelial tumors</title><author>Kubo, Marina ; Ono, Shoko ; Yokota, Isao ; Matsumoto, Shogo ; Nishimura, Yusuke ; Ono, Masayoshi ; Yamamoto, Keiko ; Sakamoto, Naoya</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c313t-f1223e1013d7602ab36d7473e2cd76613017e5f265a4abe2024a76cc2f1feda83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Algorithms</topic><topic>Biopsy</topic><topic>Computer applications</topic><topic>Endoscopy</topic><topic>Glands</topic><topic>Histology</topic><topic>Methylene blue</topic><topic>Statistical analysis</topic><topic>Tumors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kubo, Marina</creatorcontrib><creatorcontrib>Ono, Shoko</creatorcontrib><creatorcontrib>Yokota, Isao</creatorcontrib><creatorcontrib>Matsumoto, Shogo</creatorcontrib><creatorcontrib>Nishimura, Yusuke</creatorcontrib><creatorcontrib>Ono, Masayoshi</creatorcontrib><creatorcontrib>Yamamoto, Keiko</creatorcontrib><creatorcontrib>Sakamoto, Naoya</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Immunology Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of gastroenterology and hepatology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kubo, Marina</au><au>Ono, Shoko</au><au>Yokota, Isao</au><au>Matsumoto, Shogo</au><au>Nishimura, Yusuke</au><au>Ono, Masayoshi</au><au>Yamamoto, Keiko</au><au>Sakamoto, Naoya</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Quantitative diagnostic algorithm using endocytoscopy for superficial nonampullary duodenal epithelial tumors</atitle><jtitle>Journal of gastroenterology and hepatology</jtitle><addtitle>J Gastroenterol Hepatol</addtitle><date>2023-09-01</date><risdate>2023</risdate><volume>38</volume><issue>9</issue><spage>1496</spage><epage>1502</epage><pages>1496-1502</pages><issn>0815-9319</issn><issn>1440-1746</issn><eissn>1440-1746</eissn><abstract>Optical biopsy using endocytoscopy for superficial nonampullary duodenal epithelial tumors (SNADETs) is practical; however, a diagnostic algorithm has not been established. The aim of this study was to determine correlations of endocytoscopic findings of SNADETs with histology using computer analysis and to establish an algorithm.
Endocytoscopic images and histological images of duodenal lesions from 70 patients were retrospectively collected. The numbers of glands and densely stained areas with methylene blue (DSMs) per 1 mm
and the percentage of DSMs per screen in endocytoscopy were determined. Moreover, correlations in DSMs and glands between endocytoscopy and histological images were analyzed. Histopathological diagnoses were assessed according to the revised Vienna classification. The primary outcome was correlation between the number of glands in endocytoscopy and that in histology. Finally, a diagnostic algorithm for endoscopic intervention of SNADETs with a statistical program command was established.
The number of glands in endocytoscopic images was correlated with that in histopathological images (ρ 0.64, P < 0.001). There were significant differences in the mean number of glands between category 4/5 and category 3 (P = 0.03) and the mean percentage of DSMs between category 4/5 and category 1 (P < 0.001). When the cutoffs for the number of glands and percentage of DSMs were set at 47 per 1 mm
and 20.8% in one screen, respectively, the area under the ROC curve was 0.89.
Endocytoscopic images of SNADETs reflect histopathological atypia, and computer analysis provides a practical diagnostic algorithm for endoscopic intervention.</abstract><cop>Australia</cop><pub>Wiley Subscription Services, Inc</pub><pmid>37129220</pmid><doi>10.1111/jgh.16207</doi><tpages>7</tpages><orcidid>https://orcid.org/0000-0001-6254-2225</orcidid><orcidid>https://orcid.org/0000-0003-0061-059X</orcidid><orcidid>https://orcid.org/0000-0001-9956-134X</orcidid><orcidid>https://orcid.org/0000-0002-4485-6367</orcidid><orcidid>https://orcid.org/0000-0003-2343-2984</orcidid><orcidid>https://orcid.org/0000-0002-3116-1638</orcidid><orcidid>https://orcid.org/0000-0002-7471-0676</orcidid></addata></record> |
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| subjects | Algorithms Biopsy Computer applications Endoscopy Glands Histology Methylene blue Statistical analysis Tumors |
| title | Quantitative diagnostic algorithm using endocytoscopy for superficial nonampullary duodenal epithelial tumors |
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