Near-Infrared Imaging With Indocyanine Green for the Treatment of Endometriosis: Results From the Gre-Endo Trial

IntroductionA current challenge for endometriosis surgery is to correctly identify the localizations of disease, especially when small or hidden (occult endometriosis), and to exactly define their real extension. The use of near-infrared radiation imaging (NIR) after injection of indocyanine green (...

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Autores principales: Luigi Carlo Turco, Giuseppe Vizzielli, Virginia Vargiu, Salvatore Gueli Alletti, Maria De Ninno, Gabriella Ferrandina, Luigi Pedone Anchora, Giovanni Scambia, Francesco Cosentino
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Publicado: Frontiers Media S.A. 2021
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spelling oai:doaj.org-article:62542793e94f4a70a72d7229fe7dd2152021-11-15T04:27:55ZNear-Infrared Imaging With Indocyanine Green for the Treatment of Endometriosis: Results From the Gre-Endo Trial2234-943X10.3389/fonc.2021.737938https://doaj.org/article/62542793e94f4a70a72d7229fe7dd2152021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fonc.2021.737938/fullhttps://doaj.org/toc/2234-943XIntroductionA current challenge for endometriosis surgery is to correctly identify the localizations of disease, especially when small or hidden (occult endometriosis), and to exactly define their real extension. The use of near-infrared radiation imaging (NIR) after injection of indocyanine green (ICG) represents one of the most encouraging method. The aim of this study is to assess the diagnostic value of NIR-ICG imaging in the surgical treatment of endometriosis compared with the standard of treatment.Material and MethodsThe Gre-Endo trial is a prospective, single-arm study (NCT03332004). After exploring the operatory field using the white light (WL) mode, patients were injected with ICG and then observed in NIR mode. All suspected areas were classified and chronicled according to lesions visualized only in WL, NIR-ICG, or in the combination of both. Lesion not visualized in WL was considered as suspect occult lesion (s-OcL). In addition, a random control biopsy from an apparent negative peritoneum visualized in WL and NIR-ICG imaging was taken for all patients (control cases). All lesions removed were considered “suspect endometriosis” until pathology.ResultsFifty-one patients were enrolled between January 2016 and October 2019. A total of 240 suspected lesions have been identified with both methods (WL + NIR-ICG). Two hundred and seven (86.2%) lesions out of the overall 240 were visualized with WL imaging, and 200 were confirmed to be pathologic (true positive for WL). The remaining 33/240 (13.75%) (false negative for WL) lesions were identified only with NIR-ICG imaging and collected as s-OcL. All 33 s-OcLs removed were confirmed to be pathologic (c-OcL = 100%). NIR-ICG vision showed PPV of 98.5%, NPV of 87.1%, Se of 87%, and Sp of 98.5%, confirming that this kind of imaging is an excellent diagnostic and screening test (p = 0.001 and p = 0.835, according to McNemar’s and Cohen’s kappa tests, respectively).ConclusionsThe use of NIR-ICG vision alone and combined with WL showed good results in intraoperative detection rate and fluorescence-guided surgery of endometriosis. Furthermore, NIR-ICG allowed surgeons to remove occult lesions that otherwise would remain, leading to possible greater postoperative pain and a higher risk of persistence and relapse.Luigi Carlo TurcoGiuseppe VizzielliVirginia VargiuSalvatore Gueli AllettiMaria De NinnoGabriella FerrandinaGabriella FerrandinaLuigi Pedone AnchoraGiovanni ScambiaGiovanni ScambiaFrancesco CosentinoFrancesco CosentinoFrontiers Media S.A.articlenear-infrared imagingindocyanine greendeep infiltrating endometriosispersonalized medicinegynecological surgeryNeoplasms. Tumors. Oncology. Including cancer and carcinogensRC254-282ENFrontiers in Oncology, Vol 11 (2021)
institution DOAJ
collection DOAJ
language EN
topic near-infrared imaging
indocyanine green
deep infiltrating endometriosis
personalized medicine
gynecological surgery
Neoplasms. Tumors. Oncology. Including cancer and carcinogens
RC254-282
spellingShingle near-infrared imaging
indocyanine green
deep infiltrating endometriosis
personalized medicine
gynecological surgery
Neoplasms. Tumors. Oncology. Including cancer and carcinogens
RC254-282
Luigi Carlo Turco
Giuseppe Vizzielli
Virginia Vargiu
Salvatore Gueli Alletti
Maria De Ninno
Gabriella Ferrandina
Gabriella Ferrandina
Luigi Pedone Anchora
Giovanni Scambia
Giovanni Scambia
Francesco Cosentino
Francesco Cosentino
Near-Infrared Imaging With Indocyanine Green for the Treatment of Endometriosis: Results From the Gre-Endo Trial
description IntroductionA current challenge for endometriosis surgery is to correctly identify the localizations of disease, especially when small or hidden (occult endometriosis), and to exactly define their real extension. The use of near-infrared radiation imaging (NIR) after injection of indocyanine green (ICG) represents one of the most encouraging method. The aim of this study is to assess the diagnostic value of NIR-ICG imaging in the surgical treatment of endometriosis compared with the standard of treatment.Material and MethodsThe Gre-Endo trial is a prospective, single-arm study (NCT03332004). After exploring the operatory field using the white light (WL) mode, patients were injected with ICG and then observed in NIR mode. All suspected areas were classified and chronicled according to lesions visualized only in WL, NIR-ICG, or in the combination of both. Lesion not visualized in WL was considered as suspect occult lesion (s-OcL). In addition, a random control biopsy from an apparent negative peritoneum visualized in WL and NIR-ICG imaging was taken for all patients (control cases). All lesions removed were considered “suspect endometriosis” until pathology.ResultsFifty-one patients were enrolled between January 2016 and October 2019. A total of 240 suspected lesions have been identified with both methods (WL + NIR-ICG). Two hundred and seven (86.2%) lesions out of the overall 240 were visualized with WL imaging, and 200 were confirmed to be pathologic (true positive for WL). The remaining 33/240 (13.75%) (false negative for WL) lesions were identified only with NIR-ICG imaging and collected as s-OcL. All 33 s-OcLs removed were confirmed to be pathologic (c-OcL = 100%). NIR-ICG vision showed PPV of 98.5%, NPV of 87.1%, Se of 87%, and Sp of 98.5%, confirming that this kind of imaging is an excellent diagnostic and screening test (p = 0.001 and p = 0.835, according to McNemar’s and Cohen’s kappa tests, respectively).ConclusionsThe use of NIR-ICG vision alone and combined with WL showed good results in intraoperative detection rate and fluorescence-guided surgery of endometriosis. Furthermore, NIR-ICG allowed surgeons to remove occult lesions that otherwise would remain, leading to possible greater postoperative pain and a higher risk of persistence and relapse.
format article
author Luigi Carlo Turco
Giuseppe Vizzielli
Virginia Vargiu
Salvatore Gueli Alletti
Maria De Ninno
Gabriella Ferrandina
Gabriella Ferrandina
Luigi Pedone Anchora
Giovanni Scambia
Giovanni Scambia
Francesco Cosentino
Francesco Cosentino
author_facet Luigi Carlo Turco
Giuseppe Vizzielli
Virginia Vargiu
Salvatore Gueli Alletti
Maria De Ninno
Gabriella Ferrandina
Gabriella Ferrandina
Luigi Pedone Anchora
Giovanni Scambia
Giovanni Scambia
Francesco Cosentino
Francesco Cosentino
author_sort Luigi Carlo Turco
title Near-Infrared Imaging With Indocyanine Green for the Treatment of Endometriosis: Results From the Gre-Endo Trial
title_short Near-Infrared Imaging With Indocyanine Green for the Treatment of Endometriosis: Results From the Gre-Endo Trial
title_full Near-Infrared Imaging With Indocyanine Green for the Treatment of Endometriosis: Results From the Gre-Endo Trial
title_fullStr Near-Infrared Imaging With Indocyanine Green for the Treatment of Endometriosis: Results From the Gre-Endo Trial
title_full_unstemmed Near-Infrared Imaging With Indocyanine Green for the Treatment of Endometriosis: Results From the Gre-Endo Trial
title_sort near-infrared imaging with indocyanine green for the treatment of endometriosis: results from the gre-endo trial
publisher Frontiers Media S.A.
publishDate 2021
url https://doaj.org/article/62542793e94f4a70a72d7229fe7dd215
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