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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of biophotonics 2021-09, Vol.14 (9), p.e202100078-n/a
Hauptverfasser: Yoon, Jonghee, Joseph, James, Waterhouse, Dale J., Borzy, Charlie, Siemens, Kyla, Diamond, Sarah, Tsikitis, Vassiliki Liana, Bohndiek, Sarah E.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page n/a
container_issue 9
container_start_page e202100078
container_title Journal of biophotonics
container_volume 14
creator Yoon, Jonghee
Joseph, James
Waterhouse, Dale J.
Borzy, Charlie
Siemens, Kyla
Diamond, Sarah
Tsikitis, Vassiliki Liana
Bohndiek, Sarah E.
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.
doi_str_mv 10.1002/jbio.202100078
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2534613753</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2573237214</sourcerecordid><originalsourceid>FETCH-LOGICAL-c4138-9b37590d6f995a020a3b8a0b4ba73db10ae498802ecfb049fce14a97cd0798b43</originalsourceid><addsrcrecordid>eNqFkEtrGzEURkVJaR7tNssgyCYbu1cjzUPLxDSJS8CbFrobJM0dKiOPFMmTZv59ZOy6kE1X97vo6Eh8hFwymDOA4utaWz8voMgL1M0HcsaaSsygEs3JMfNfp-Q8pTVABbzkn8gpFyBqIeGMdPc2pi3F14DR4mCQ2oEaZwdrlKMqBJfD1vqB-p7-njKVApptzIc4dD4ZHyba-0jxRbnxSBrvfFbQ4N0U0mfysVcu4ZfDvCA_77_9WDzOnlYPy8Xt08wIxpuZ1LwuJXRVL2WpoADFdaNAC61q3mkGCoVsGijQ9BqE7A0yoWRtOqhlowW_IDd7b4j-ecS0bTc2GXRODejH1BYlFxXLj_CMXr9D136MQ_5dpmpe8LpgO-F8T5noU4rYtyHajYpTy6Dd9d_u-m-P_ecLVwftqDfYHfG_hWdA7oE_1uH0H137_W65-id_A6wXkuI</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2573237214</pqid></control><display><type>article</type><title>First experience in clinical application of hyperspectral endoscopy for evaluation of colonic polyps</title><source>MEDLINE</source><source>Wiley Online Library Journals Frontfile Complete</source><creator>Yoon, Jonghee ; Joseph, James ; Waterhouse, Dale J. ; Borzy, Charlie ; Siemens, Kyla ; Diamond, Sarah ; Tsikitis, Vassiliki Liana ; Bohndiek, Sarah E.</creator><creatorcontrib>Yoon, Jonghee ; Joseph, James ; Waterhouse, Dale J. ; Borzy, Charlie ; Siemens, Kyla ; Diamond, Sarah ; Tsikitis, Vassiliki Liana ; Bohndiek, Sarah E.</creatorcontrib><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><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 &amp; 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 &amp; 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 &amp; 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 &amp; 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 &amp; 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>
fulltext fulltext
identifier ISSN: 1864-063X
ispartof Journal of biophotonics, 2021-09, Vol.14 (9), p.e202100078-n/a
issn 1864-063X
1864-0648
language eng
recordid cdi_proquest_miscellaneous_2534613753
source MEDLINE; Wiley Online Library Journals Frontfile Complete
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
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-04T02%3A48%3A08IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=First%20experience%20in%20clinical%20application%20of%20hyperspectral%20endoscopy%20for%20evaluation%20of%20colonic%20polyps&rft.jtitle=Journal%20of%20biophotonics&rft.au=Yoon,%20Jonghee&rft.date=2021-09&rft.volume=14&rft.issue=9&rft.spage=e202100078&rft.epage=n/a&rft.pages=e202100078-n/a&rft.issn=1864-063X&rft.eissn=1864-0648&rft_id=info:doi/10.1002/jbio.202100078&rft_dat=%3Cproquest_cross%3E2573237214%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2573237214&rft_id=info:pmid/34047490&rfr_iscdi=true