Near-Infrared Imaging with Indocyanine Green for Detection of Endometriosis Lesions (Gre-Endo Trial): A Pilot Study
To evaluate near-infrared radiation imaging with intravenous indocyanine green (NIR-ICG) during laparoscopic intervention to identify endometriosis lesions. A single-center, prospective, single-arm pilot study (Canadian Task Force classification II-2). An academic tertiary care and research center....
Gespeichert in:
Veröffentlicht in: | Journal of minimally invasive gynecology 2018-11, Vol.25 (7), p.1249-1254 |
---|---|
Hauptverfasser: | , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 1254 |
---|---|
container_issue | 7 |
container_start_page | 1249 |
container_title | Journal of minimally invasive gynecology |
container_volume | 25 |
creator | Cosentino, Francesco Vizzielli, Giuseppe Turco, Luigi Carlo Fagotti, Anna Cianci, Stefano Vargiu, Virginia Zannoni, Gian Franco Ferrandina, Gabriella Scambia, Giovanni |
description | To evaluate near-infrared radiation imaging with intravenous indocyanine green (NIR-ICG) during laparoscopic intervention to identify endometriosis lesions.
A single-center, prospective, single-arm pilot study (Canadian Task Force classification II-2).
An academic tertiary care and research center.
Twenty-seven patients with symptomatic endometriosis were enrolled.
Patients underwent laparoscopic surgery using a laparoscopic system prototype with NIR-ICG.
A total of 116 suspected endometriosis lesions were removed from 27 patients. One hundred lesions had already been visualized in white light imaging by an expert surgeon; the remaining 16 were detected and removed using NIR-ICG. A total of 111 specimens were positive for endometriosis pathology. Positive predictive value of 95% and 97.8% and negative predictive value of 86.2% and 82.3% were found by white light imaging and NIR-ICG, respectively, with sensitivity of 85.6% and 82% and specificity of 95.2% and 97.9%, respectively.
NIR-ICG may be a tool for intraoperative diagnosis, confirmation of visible endometriosis lesions, and a marker for identifying occult endometriosis. Further prospective studies with a larger population sample are warranted to validate these encouraging preliminary results. |
doi_str_mv | 10.1016/j.jmig.2018.02.023 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2015416082</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S1553465018301584</els_id><sourcerecordid>2015416082</sourcerecordid><originalsourceid>FETCH-LOGICAL-c271t-4a553c82dd38b92792fcdeeb04a93ae91f08897b96d8f35ae23aaf9dd61c778a3</originalsourceid><addsrcrecordid>eNp9kEtPYyEYhslEM17_wCwMS12cyuVcwLgx6jhNGjVR14TCR4fmHFA4HdN_L03V5SRfAoHnfQMPQr8omVBC2_PlZDn4xYQRKiaEleE_0D5tGl7VbSt3vvcN2UMHOS8J4R0h7U-0x2TT0Lrr9lG-B52qaXBJJ7B4OuiFDwv87se_eBpsNGsdfAB8lwACdjHhGxjBjD4GHB2-LcgAY_Ix-4xnkMt5xqeFrjZX-Dl53Z9d4Cv86Ps44qdxZddHaNfpPsPx53qIXn7fPl__qWYPd9Prq1llWEfHqtbl-UYwa7mYS9ZJ5owFmJNaS65BUkeEkN1ctlY43mhgXGsnrW2p6Tqh-SE63fa-pvi2gjyqwWcDfa8DxFVWRVxT05YIVlC2RU2KOSdw6jX5Qae1okRtZKul2sjeZIQirAwvoZPP_tV8APsd-bJbgMstAOWX_zwklY2HYMD6VBwqG_3_-j8A_L6Qow</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2015416082</pqid></control><display><type>article</type><title>Near-Infrared Imaging with Indocyanine Green for Detection of Endometriosis Lesions (Gre-Endo Trial): A Pilot Study</title><source>MEDLINE</source><source>ScienceDirect Journals (5 years ago - present)</source><creator>Cosentino, Francesco ; Vizzielli, Giuseppe ; Turco, Luigi Carlo ; Fagotti, Anna ; Cianci, Stefano ; Vargiu, Virginia ; Zannoni, Gian Franco ; Ferrandina, Gabriella ; Scambia, Giovanni</creator><creatorcontrib>Cosentino, Francesco ; Vizzielli, Giuseppe ; Turco, Luigi Carlo ; Fagotti, Anna ; Cianci, Stefano ; Vargiu, Virginia ; Zannoni, Gian Franco ; Ferrandina, Gabriella ; Scambia, Giovanni</creatorcontrib><description>To evaluate near-infrared radiation imaging with intravenous indocyanine green (NIR-ICG) during laparoscopic intervention to identify endometriosis lesions.
A single-center, prospective, single-arm pilot study (Canadian Task Force classification II-2).
An academic tertiary care and research center.
Twenty-seven patients with symptomatic endometriosis were enrolled.
Patients underwent laparoscopic surgery using a laparoscopic system prototype with NIR-ICG.
A total of 116 suspected endometriosis lesions were removed from 27 patients. One hundred lesions had already been visualized in white light imaging by an expert surgeon; the remaining 16 were detected and removed using NIR-ICG. A total of 111 specimens were positive for endometriosis pathology. Positive predictive value of 95% and 97.8% and negative predictive value of 86.2% and 82.3% were found by white light imaging and NIR-ICG, respectively, with sensitivity of 85.6% and 82% and specificity of 95.2% and 97.9%, respectively.
NIR-ICG may be a tool for intraoperative diagnosis, confirmation of visible endometriosis lesions, and a marker for identifying occult endometriosis. Further prospective studies with a larger population sample are warranted to validate these encouraging preliminary results.</description><identifier>ISSN: 1553-4650</identifier><identifier>EISSN: 1553-4669</identifier><identifier>DOI: 10.1016/j.jmig.2018.02.023</identifier><identifier>PMID: 29551477</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Adult ; Coloring Agents - administration & dosage ; Endometriosis - diagnostic imaging ; Endometriosis - pathology ; Endometriosis - surgery ; Female ; Humans ; Indocyanine Green - administration & dosage ; Laparoscopy - methods ; Microscopic endometriosis ; Middle Aged ; Occult endometriosis ; Pilot Projects ; Predictive Value of Tests ; Prospective Studies ; Sensitivity and Specificity ; Spectroscopy, Near-Infrared ; White light imaging ; Young Adult</subject><ispartof>Journal of minimally invasive gynecology, 2018-11, Vol.25 (7), p.1249-1254</ispartof><rights>2018 American Association of Gynecologic Laparoscopists</rights><rights>Copyright © 2018 American Association of Gynecologic Laparoscopists. Published by Elsevier Inc. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c271t-4a553c82dd38b92792fcdeeb04a93ae91f08897b96d8f35ae23aaf9dd61c778a3</citedby><cites>FETCH-LOGICAL-c271t-4a553c82dd38b92792fcdeeb04a93ae91f08897b96d8f35ae23aaf9dd61c778a3</cites><orcidid>0000-0002-2424-2691 ; 0000-0002-0548-9891</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.jmig.2018.02.023$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29551477$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Cosentino, Francesco</creatorcontrib><creatorcontrib>Vizzielli, Giuseppe</creatorcontrib><creatorcontrib>Turco, Luigi Carlo</creatorcontrib><creatorcontrib>Fagotti, Anna</creatorcontrib><creatorcontrib>Cianci, Stefano</creatorcontrib><creatorcontrib>Vargiu, Virginia</creatorcontrib><creatorcontrib>Zannoni, Gian Franco</creatorcontrib><creatorcontrib>Ferrandina, Gabriella</creatorcontrib><creatorcontrib>Scambia, Giovanni</creatorcontrib><title>Near-Infrared Imaging with Indocyanine Green for Detection of Endometriosis Lesions (Gre-Endo Trial): A Pilot Study</title><title>Journal of minimally invasive gynecology</title><addtitle>J Minim Invasive Gynecol</addtitle><description>To evaluate near-infrared radiation imaging with intravenous indocyanine green (NIR-ICG) during laparoscopic intervention to identify endometriosis lesions.
A single-center, prospective, single-arm pilot study (Canadian Task Force classification II-2).
An academic tertiary care and research center.
Twenty-seven patients with symptomatic endometriosis were enrolled.
Patients underwent laparoscopic surgery using a laparoscopic system prototype with NIR-ICG.
A total of 116 suspected endometriosis lesions were removed from 27 patients. One hundred lesions had already been visualized in white light imaging by an expert surgeon; the remaining 16 were detected and removed using NIR-ICG. A total of 111 specimens were positive for endometriosis pathology. Positive predictive value of 95% and 97.8% and negative predictive value of 86.2% and 82.3% were found by white light imaging and NIR-ICG, respectively, with sensitivity of 85.6% and 82% and specificity of 95.2% and 97.9%, respectively.
NIR-ICG may be a tool for intraoperative diagnosis, confirmation of visible endometriosis lesions, and a marker for identifying occult endometriosis. Further prospective studies with a larger population sample are warranted to validate these encouraging preliminary results.</description><subject>Adult</subject><subject>Coloring Agents - administration & dosage</subject><subject>Endometriosis - diagnostic imaging</subject><subject>Endometriosis - pathology</subject><subject>Endometriosis - surgery</subject><subject>Female</subject><subject>Humans</subject><subject>Indocyanine Green - administration & dosage</subject><subject>Laparoscopy - methods</subject><subject>Microscopic endometriosis</subject><subject>Middle Aged</subject><subject>Occult endometriosis</subject><subject>Pilot Projects</subject><subject>Predictive Value of Tests</subject><subject>Prospective Studies</subject><subject>Sensitivity and Specificity</subject><subject>Spectroscopy, Near-Infrared</subject><subject>White light imaging</subject><subject>Young Adult</subject><issn>1553-4650</issn><issn>1553-4669</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kEtPYyEYhslEM17_wCwMS12cyuVcwLgx6jhNGjVR14TCR4fmHFA4HdN_L03V5SRfAoHnfQMPQr8omVBC2_PlZDn4xYQRKiaEleE_0D5tGl7VbSt3vvcN2UMHOS8J4R0h7U-0x2TT0Lrr9lG-B52qaXBJJ7B4OuiFDwv87se_eBpsNGsdfAB8lwACdjHhGxjBjD4GHB2-LcgAY_Ix-4xnkMt5xqeFrjZX-Dl53Z9d4Cv86Ps44qdxZddHaNfpPsPx53qIXn7fPl__qWYPd9Prq1llWEfHqtbl-UYwa7mYS9ZJ5owFmJNaS65BUkeEkN1ctlY43mhgXGsnrW2p6Tqh-SE63fa-pvi2gjyqwWcDfa8DxFVWRVxT05YIVlC2RU2KOSdw6jX5Qae1okRtZKul2sjeZIQirAwvoZPP_tV8APsd-bJbgMstAOWX_zwklY2HYMD6VBwqG_3_-j8A_L6Qow</recordid><startdate>201811</startdate><enddate>201811</enddate><creator>Cosentino, Francesco</creator><creator>Vizzielli, Giuseppe</creator><creator>Turco, Luigi Carlo</creator><creator>Fagotti, Anna</creator><creator>Cianci, Stefano</creator><creator>Vargiu, Virginia</creator><creator>Zannoni, Gian Franco</creator><creator>Ferrandina, Gabriella</creator><creator>Scambia, Giovanni</creator><general>Elsevier Inc</general><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>7X8</scope><orcidid>https://orcid.org/0000-0002-2424-2691</orcidid><orcidid>https://orcid.org/0000-0002-0548-9891</orcidid></search><sort><creationdate>201811</creationdate><title>Near-Infrared Imaging with Indocyanine Green for Detection of Endometriosis Lesions (Gre-Endo Trial): A Pilot Study</title><author>Cosentino, Francesco ; Vizzielli, Giuseppe ; Turco, Luigi Carlo ; Fagotti, Anna ; Cianci, Stefano ; Vargiu, Virginia ; Zannoni, Gian Franco ; Ferrandina, Gabriella ; Scambia, Giovanni</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c271t-4a553c82dd38b92792fcdeeb04a93ae91f08897b96d8f35ae23aaf9dd61c778a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Adult</topic><topic>Coloring Agents - administration & dosage</topic><topic>Endometriosis - diagnostic imaging</topic><topic>Endometriosis - pathology</topic><topic>Endometriosis - surgery</topic><topic>Female</topic><topic>Humans</topic><topic>Indocyanine Green - administration & dosage</topic><topic>Laparoscopy - methods</topic><topic>Microscopic endometriosis</topic><topic>Middle Aged</topic><topic>Occult endometriosis</topic><topic>Pilot Projects</topic><topic>Predictive Value of Tests</topic><topic>Prospective Studies</topic><topic>Sensitivity and Specificity</topic><topic>Spectroscopy, Near-Infrared</topic><topic>White light imaging</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Cosentino, Francesco</creatorcontrib><creatorcontrib>Vizzielli, Giuseppe</creatorcontrib><creatorcontrib>Turco, Luigi Carlo</creatorcontrib><creatorcontrib>Fagotti, Anna</creatorcontrib><creatorcontrib>Cianci, Stefano</creatorcontrib><creatorcontrib>Vargiu, Virginia</creatorcontrib><creatorcontrib>Zannoni, Gian Franco</creatorcontrib><creatorcontrib>Ferrandina, Gabriella</creatorcontrib><creatorcontrib>Scambia, Giovanni</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of minimally invasive gynecology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Cosentino, Francesco</au><au>Vizzielli, Giuseppe</au><au>Turco, Luigi Carlo</au><au>Fagotti, Anna</au><au>Cianci, Stefano</au><au>Vargiu, Virginia</au><au>Zannoni, Gian Franco</au><au>Ferrandina, Gabriella</au><au>Scambia, Giovanni</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Near-Infrared Imaging with Indocyanine Green for Detection of Endometriosis Lesions (Gre-Endo Trial): A Pilot Study</atitle><jtitle>Journal of minimally invasive gynecology</jtitle><addtitle>J Minim Invasive Gynecol</addtitle><date>2018-11</date><risdate>2018</risdate><volume>25</volume><issue>7</issue><spage>1249</spage><epage>1254</epage><pages>1249-1254</pages><issn>1553-4650</issn><eissn>1553-4669</eissn><abstract>To evaluate near-infrared radiation imaging with intravenous indocyanine green (NIR-ICG) during laparoscopic intervention to identify endometriosis lesions.
A single-center, prospective, single-arm pilot study (Canadian Task Force classification II-2).
An academic tertiary care and research center.
Twenty-seven patients with symptomatic endometriosis were enrolled.
Patients underwent laparoscopic surgery using a laparoscopic system prototype with NIR-ICG.
A total of 116 suspected endometriosis lesions were removed from 27 patients. One hundred lesions had already been visualized in white light imaging by an expert surgeon; the remaining 16 were detected and removed using NIR-ICG. A total of 111 specimens were positive for endometriosis pathology. Positive predictive value of 95% and 97.8% and negative predictive value of 86.2% and 82.3% were found by white light imaging and NIR-ICG, respectively, with sensitivity of 85.6% and 82% and specificity of 95.2% and 97.9%, respectively.
NIR-ICG may be a tool for intraoperative diagnosis, confirmation of visible endometriosis lesions, and a marker for identifying occult endometriosis. Further prospective studies with a larger population sample are warranted to validate these encouraging preliminary results.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>29551477</pmid><doi>10.1016/j.jmig.2018.02.023</doi><tpages>6</tpages><orcidid>https://orcid.org/0000-0002-2424-2691</orcidid><orcidid>https://orcid.org/0000-0002-0548-9891</orcidid></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1553-4650 |
ispartof | Journal of minimally invasive gynecology, 2018-11, Vol.25 (7), p.1249-1254 |
issn | 1553-4650 1553-4669 |
language | eng |
recordid | cdi_proquest_miscellaneous_2015416082 |
source | MEDLINE; ScienceDirect Journals (5 years ago - present) |
subjects | Adult Coloring Agents - administration & dosage Endometriosis - diagnostic imaging Endometriosis - pathology Endometriosis - surgery Female Humans Indocyanine Green - administration & dosage Laparoscopy - methods Microscopic endometriosis Middle Aged Occult endometriosis Pilot Projects Predictive Value of Tests Prospective Studies Sensitivity and Specificity Spectroscopy, Near-Infrared White light imaging Young Adult |
title | Near-Infrared Imaging with Indocyanine Green for Detection of Endometriosis Lesions (Gre-Endo Trial): A Pilot Study |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-05T17%3A03%3A32IST&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=Near-Infrared%20Imaging%20with%20Indocyanine%20Green%20for%20Detection%20of%20Endometriosis%20Lesions%20(Gre-Endo%20Trial):%20A%20Pilot%20Study&rft.jtitle=Journal%20of%20minimally%20invasive%20gynecology&rft.au=Cosentino,%20Francesco&rft.date=2018-11&rft.volume=25&rft.issue=7&rft.spage=1249&rft.epage=1254&rft.pages=1249-1254&rft.issn=1553-4650&rft.eissn=1553-4669&rft_id=info:doi/10.1016/j.jmig.2018.02.023&rft_dat=%3Cproquest_cross%3E2015416082%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=2015416082&rft_id=info:pmid/29551477&rft_els_id=S1553465018301584&rfr_iscdi=true |