Near-infrared fluorescent imaging with indocyanine green in rabbit and patient specimens of esophageal cancer
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Rho, Jiyun | - |
dc.contributor.author | Quan, Yu Hua | - |
dc.contributor.author | Choi, Byeong Hyeon | - |
dc.contributor.author | Han, Kook Nam | - |
dc.contributor.author | Kim, Beop-Min | - |
dc.contributor.author | Choi, Young Ho | - |
dc.contributor.author | Kim, Hyun Koo | - |
dc.date.accessioned | 2024-07-02T06:30:48Z | - |
dc.date.available | 2024-07-02T06:30:48Z | - |
dc.date.issued | 2021-11 | - |
dc.identifier.issn | 2072-1439 | - |
dc.identifier.issn | 2077-6624 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/74529 | - |
dc.description.abstract | Background: We aimed to assess the possibility of detecting esophageal cancer after intravenous injection of indocyanine green (ICG) in preclinical and clinical models. Methods: Forty-five rabbits were surgically implanted with VX2 tumors into the esophageal muscular layer 2 weeks before esophagectomy. The rabbits received intravenous injection of ICG at doses of 1, 2, or 5 mg/kg at 3, 6, 12, 24, or 48 h before surgical removal of esophagus. Twelve patients scheduled to undergo esophagectomy were also enrolled, and all received 2 mg/kg of ICG intravenously at 3, 6, 12, or 24 h before surgical removal of esophagus. The fluorescence intensity was measured in all resected specimens from the rabbits and patients using a near-infrared (NIR) fluorescence imaging system after surgery. Results: Esophageal tumors were successfully established in all rabbits, and fluorescent signals were detected in all animal and patient specimens. Tumor-to-normal ratio (TNR) analysis showed that higher doses resulted in a greater TNR. Injection of at least 2 mg/kg of ICG was required for clear visualization of the tumor, and the TNR was highest at 12 h after injection. The TNR in patients was also highest at 12 h (P=0.0004), with 2 mg/kg of ICG. None of the patients had major complications following ICG injection. Conclusions: NIR fluorescence imaging can be used to visualize esophageal cancer after systemic injection of ICG. ICG at 2 mg/kg at 12 h is optimal for tumor detection. However, since the clinical trials were conducted in a small number of patients, further studies are needed in larger populations. | - |
dc.format.extent | 10 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | AME PUBL CO | - |
dc.title | Near-infrared fluorescent imaging with indocyanine green in rabbit and patient specimens of esophageal cancer | - |
dc.type | Article | - |
dc.identifier.doi | 10.21037/jtd-21-790 | - |
dc.identifier.bibliographicCitation | JOURNAL OF THORACIC DISEASE, v.13, no.11, pp 6314 - 6323 | - |
dc.description.isOpenAccess | Y | - |
dc.identifier.wosid | 000715070400001 | - |
dc.identifier.scopusid | 2-s2.0-85120414505 | - |
dc.citation.endPage | 6323 | - |
dc.citation.number | 11 | - |
dc.citation.startPage | 6314 | - |
dc.citation.title | JOURNAL OF THORACIC DISEASE | - |
dc.citation.volume | 13 | - |
dc.type.docType | Article | - |
dc.publisher.location | 중국 | - |
dc.subject.keywordAuthor | Esophageal cancer | - |
dc.subject.keywordAuthor | indocyanine green (ICG) | - |
dc.subject.keywordAuthor | translational research | - |
dc.subject.keywordPlus | SURGERY | - |
dc.subject.keywordPlus | IDENTIFICATION | - |
dc.relation.journalResearchArea | Respiratory System | - |
dc.relation.journalWebOfScienceCategory | Respiratory System | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
84, Heukseok-ro, Dongjak-gu, Seoul, Republic of Korea (06974)02-820-6194
COPYRIGHT 2019 Chung-Ang University All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.