First experience in clinical application of hyperspectral endoscopy for evaluation of colonic polyps
Early detection and resection of adenomatous polyps prevents their progression to colorectal cancer (CRC), significantly improving patient outcomes. Polyps are typically identified and removed during white‐light colonoscopy. Unfortunately, the rate of interval cancers that arise between CRC screenin...
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Veröffentlicht in: | Journal of biophotonics 2021-09, Vol.14 (9), p.e202100078-n/a |
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description | Early detection and resection of adenomatous polyps prevents their progression to colorectal cancer (CRC), significantly improving patient outcomes. Polyps are typically identified and removed during white‐light colonoscopy. Unfortunately, the rate of interval cancers that arise between CRC screening events remains high, linked to poor visualization of polyps during screening and incomplete polyp removal. Here, we sought to evaluate the potential of a hyperspectral endoscope (HySE) to enhance polyp discrimination for detection and resection. We designed, built and tested a new compact HySE in a proof‐of‐concept clinical study. We successfully collected spectra from three tissue types in seven patients undergoing routine colonoscopy screening. The acquired spectral data from normal tissue and polyps, both pre‐ and post‐ resection, were subjected to quantitative analysis using spectral angle mapping and machine learning, which discriminated the data by tissue type, meriting further investigation of HySE as a clinical tool.
A new hyperspectral endoscope (HySE) was designed to enhance polyp discrimination for detection and resection. Spectra from three tissue types in seven patients undergoing routine colonoscopy screening were collected. The acquired spectral data from normal tissue and polyps, both pre and post resection, were subjected to quantitative analysis using spectral angle mapping and machine learning, which discriminated the data by tissue type, meriting further investigation of HySE as a clinical tool. |
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A new hyperspectral endoscope (HySE) was designed to enhance polyp discrimination for detection and resection. Spectra from three tissue types in seven patients undergoing routine colonoscopy screening were collected. The acquired spectral data from normal tissue and polyps, both pre and post resection, were subjected to quantitative analysis using spectral angle mapping and machine learning, which discriminated the data by tissue type, meriting further investigation of HySE as a clinical tool.</description><identifier>ISSN: 1864-063X</identifier><identifier>EISSN: 1864-0648</identifier><identifier>DOI: 10.1002/jbio.202100078</identifier><identifier>PMID: 34047490</identifier><language>eng</language><publisher>Weinheim: WILEY‐VCH Verlag GmbH & Co. KGaA</publisher><subject>Adenomatous Polyps - diagnostic imaging ; Adenomatous Polyps - surgery ; Cancer ; Colonic Polyps - diagnostic imaging ; Colonic Polyps - surgery ; Colonoscopy ; Colorectal cancer ; Colorectal carcinoma ; Colorectal Neoplasms - diagnostic imaging ; Data acquisition ; Early Detection of Cancer ; Endoscopes ; Endoscopy ; Humans ; hyperspectral endoscope ; hyperspectral imaging ; Learning algorithms ; Machine learning ; Patients ; Polyps ; Spectra</subject><ispartof>Journal of biophotonics, 2021-09, Vol.14 (9), p.e202100078-n/a</ispartof><rights>2021 The Authors. published by Wiley‐VCH GmbH.</rights><rights>2021 The Authors. Journal of Biophotonics published by Wiley-VCH GmbH.</rights><rights>2021. This article is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4138-9b37590d6f995a020a3b8a0b4ba73db10ae498802ecfb049fce14a97cd0798b43</citedby><cites>FETCH-LOGICAL-c4138-9b37590d6f995a020a3b8a0b4ba73db10ae498802ecfb049fce14a97cd0798b43</cites><orcidid>0000-0003-3886-2792 ; 0000-0003-0371-8635 ; 0000-0001-6270-2559</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fjbio.202100078$$EPDF$$P50$$Gwiley$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fjbio.202100078$$EHTML$$P50$$Gwiley$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,1411,27901,27902,45550,45551</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34047490$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Yoon, Jonghee</creatorcontrib><creatorcontrib>Joseph, James</creatorcontrib><creatorcontrib>Waterhouse, Dale J.</creatorcontrib><creatorcontrib>Borzy, Charlie</creatorcontrib><creatorcontrib>Siemens, Kyla</creatorcontrib><creatorcontrib>Diamond, Sarah</creatorcontrib><creatorcontrib>Tsikitis, Vassiliki Liana</creatorcontrib><creatorcontrib>Bohndiek, Sarah E.</creatorcontrib><title>First experience in clinical application of hyperspectral endoscopy for evaluation of colonic polyps</title><title>Journal of biophotonics</title><addtitle>J Biophotonics</addtitle><description>Early detection and resection of adenomatous polyps prevents their progression to colorectal cancer (CRC), significantly improving patient outcomes. Polyps are typically identified and removed during white‐light colonoscopy. Unfortunately, the rate of interval cancers that arise between CRC screening events remains high, linked to poor visualization of polyps during screening and incomplete polyp removal. Here, we sought to evaluate the potential of a hyperspectral endoscope (HySE) to enhance polyp discrimination for detection and resection. We designed, built and tested a new compact HySE in a proof‐of‐concept clinical study. We successfully collected spectra from three tissue types in seven patients undergoing routine colonoscopy screening. The acquired spectral data from normal tissue and polyps, both pre‐ and post‐ resection, were subjected to quantitative analysis using spectral angle mapping and machine learning, which discriminated the data by tissue type, meriting further investigation of HySE as a clinical tool.
A new hyperspectral endoscope (HySE) was designed to enhance polyp discrimination for detection and resection. Spectra from three tissue types in seven patients undergoing routine colonoscopy screening were collected. The acquired spectral data from normal tissue and polyps, both pre and post resection, were subjected to quantitative analysis using spectral angle mapping and machine learning, which discriminated the data by tissue type, meriting further investigation of HySE as a clinical tool.</description><subject>Adenomatous Polyps - diagnostic imaging</subject><subject>Adenomatous Polyps - surgery</subject><subject>Cancer</subject><subject>Colonic Polyps - diagnostic imaging</subject><subject>Colonic Polyps - surgery</subject><subject>Colonoscopy</subject><subject>Colorectal cancer</subject><subject>Colorectal carcinoma</subject><subject>Colorectal Neoplasms - diagnostic imaging</subject><subject>Data acquisition</subject><subject>Early Detection of Cancer</subject><subject>Endoscopes</subject><subject>Endoscopy</subject><subject>Humans</subject><subject>hyperspectral endoscope</subject><subject>hyperspectral imaging</subject><subject>Learning algorithms</subject><subject>Machine learning</subject><subject>Patients</subject><subject>Polyps</subject><subject>Spectra</subject><issn>1864-063X</issn><issn>1864-0648</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>EIF</sourceid><recordid>eNqFkEtrGzEURkVJaR7tNssgyCYbu1cjzUPLxDSJS8CbFrobJM0dKiOPFMmTZv59ZOy6kE1X97vo6Eh8hFwymDOA4utaWz8voMgL1M0HcsaaSsygEs3JMfNfp-Q8pTVABbzkn8gpFyBqIeGMdPc2pi3F14DR4mCQ2oEaZwdrlKMqBJfD1vqB-p7-njKVApptzIc4dD4ZHyba-0jxRbnxSBrvfFbQ4N0U0mfysVcu4ZfDvCA_77_9WDzOnlYPy8Xt08wIxpuZ1LwuJXRVL2WpoADFdaNAC61q3mkGCoVsGijQ9BqE7A0yoWRtOqhlowW_IDd7b4j-ecS0bTc2GXRODejH1BYlFxXLj_CMXr9D136MQ_5dpmpe8LpgO-F8T5noU4rYtyHajYpTy6Dd9d_u-m-P_ecLVwftqDfYHfG_hWdA7oE_1uH0H137_W65-id_A6wXkuI</recordid><startdate>202109</startdate><enddate>202109</enddate><creator>Yoon, Jonghee</creator><creator>Joseph, James</creator><creator>Waterhouse, Dale J.</creator><creator>Borzy, Charlie</creator><creator>Siemens, Kyla</creator><creator>Diamond, Sarah</creator><creator>Tsikitis, Vassiliki Liana</creator><creator>Bohndiek, Sarah E.</creator><general>WILEY‐VCH Verlag GmbH & Co. KGaA</general><general>Wiley Subscription Services, Inc</general><scope>24P</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QO</scope><scope>7SP</scope><scope>7SR</scope><scope>7U5</scope><scope>8FD</scope><scope>FR3</scope><scope>JG9</scope><scope>K9.</scope><scope>L7M</scope><scope>P64</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-3886-2792</orcidid><orcidid>https://orcid.org/0000-0003-0371-8635</orcidid><orcidid>https://orcid.org/0000-0001-6270-2559</orcidid></search><sort><creationdate>202109</creationdate><title>First experience in clinical application of hyperspectral endoscopy for evaluation of colonic polyps</title><author>Yoon, Jonghee ; Joseph, James ; Waterhouse, Dale J. ; Borzy, Charlie ; Siemens, Kyla ; Diamond, Sarah ; Tsikitis, Vassiliki Liana ; Bohndiek, Sarah E.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4138-9b37590d6f995a020a3b8a0b4ba73db10ae498802ecfb049fce14a97cd0798b43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Adenomatous Polyps - diagnostic imaging</topic><topic>Adenomatous Polyps - surgery</topic><topic>Cancer</topic><topic>Colonic Polyps - diagnostic imaging</topic><topic>Colonic Polyps - surgery</topic><topic>Colonoscopy</topic><topic>Colorectal cancer</topic><topic>Colorectal carcinoma</topic><topic>Colorectal Neoplasms - diagnostic imaging</topic><topic>Data acquisition</topic><topic>Early Detection of Cancer</topic><topic>Endoscopes</topic><topic>Endoscopy</topic><topic>Humans</topic><topic>hyperspectral endoscope</topic><topic>hyperspectral imaging</topic><topic>Learning algorithms</topic><topic>Machine learning</topic><topic>Patients</topic><topic>Polyps</topic><topic>Spectra</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yoon, Jonghee</creatorcontrib><creatorcontrib>Joseph, James</creatorcontrib><creatorcontrib>Waterhouse, Dale J.</creatorcontrib><creatorcontrib>Borzy, Charlie</creatorcontrib><creatorcontrib>Siemens, Kyla</creatorcontrib><creatorcontrib>Diamond, Sarah</creatorcontrib><creatorcontrib>Tsikitis, Vassiliki Liana</creatorcontrib><creatorcontrib>Bohndiek, Sarah E.</creatorcontrib><collection>Wiley Online Library Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Materials Research Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of biophotonics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yoon, Jonghee</au><au>Joseph, James</au><au>Waterhouse, Dale J.</au><au>Borzy, Charlie</au><au>Siemens, Kyla</au><au>Diamond, Sarah</au><au>Tsikitis, Vassiliki Liana</au><au>Bohndiek, Sarah E.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>First experience in clinical application of hyperspectral endoscopy for evaluation of colonic polyps</atitle><jtitle>Journal of biophotonics</jtitle><addtitle>J Biophotonics</addtitle><date>2021-09</date><risdate>2021</risdate><volume>14</volume><issue>9</issue><spage>e202100078</spage><epage>n/a</epage><pages>e202100078-n/a</pages><issn>1864-063X</issn><eissn>1864-0648</eissn><abstract>Early detection and resection of adenomatous polyps prevents their progression to colorectal cancer (CRC), significantly improving patient outcomes. Polyps are typically identified and removed during white‐light colonoscopy. Unfortunately, the rate of interval cancers that arise between CRC screening events remains high, linked to poor visualization of polyps during screening and incomplete polyp removal. Here, we sought to evaluate the potential of a hyperspectral endoscope (HySE) to enhance polyp discrimination for detection and resection. We designed, built and tested a new compact HySE in a proof‐of‐concept clinical study. We successfully collected spectra from three tissue types in seven patients undergoing routine colonoscopy screening. The acquired spectral data from normal tissue and polyps, both pre‐ and post‐ resection, were subjected to quantitative analysis using spectral angle mapping and machine learning, which discriminated the data by tissue type, meriting further investigation of HySE as a clinical tool.
A new hyperspectral endoscope (HySE) was designed to enhance polyp discrimination for detection and resection. Spectra from three tissue types in seven patients undergoing routine colonoscopy screening were collected. The acquired spectral data from normal tissue and polyps, both pre and post resection, were subjected to quantitative analysis using spectral angle mapping and machine learning, which discriminated the data by tissue type, meriting further investigation of HySE as a clinical tool.</abstract><cop>Weinheim</cop><pub>WILEY‐VCH Verlag GmbH & Co. KGaA</pub><pmid>34047490</pmid><doi>10.1002/jbio.202100078</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0003-3886-2792</orcidid><orcidid>https://orcid.org/0000-0003-0371-8635</orcidid><orcidid>https://orcid.org/0000-0001-6270-2559</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Adenomatous Polyps - diagnostic imaging Adenomatous Polyps - surgery Cancer Colonic Polyps - diagnostic imaging Colonic Polyps - surgery Colonoscopy Colorectal cancer Colorectal carcinoma Colorectal Neoplasms - diagnostic imaging Data acquisition Early Detection of Cancer Endoscopes Endoscopy Humans hyperspectral endoscope hyperspectral imaging Learning algorithms Machine learning Patients Polyps Spectra |
title | First experience in clinical application of hyperspectral endoscopy for evaluation of colonic polyps |
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