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Optimization of Indocyanine Green for Intraoperative Fluorescent Image-Guided Localization of Lung Cancer; Analysis Based on Solid Component of Lung Nodule

SIMPLE SUMMARY: Multiple studies have performed intravenous injections of indocyanine green (ICG) for lung cancer detection, including primary and metastatic lung cancers. However, there is no consensus regarding the optimization of the ICG injection method. We optimized the ICG injection method (2...

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Autores principales: Jeon, Ok Hwa, Choi, Byeong Hyeon, Rho, Jiyun, Kim, Kyungsu, Lee, Jun Hee, Lee, Jinhwan, Kim, Beop-Min, Kim, Hyun Koo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10377801/
https://www.ncbi.nlm.nih.gov/pubmed/37509304
http://dx.doi.org/10.3390/cancers15143643
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author Jeon, Ok Hwa
Choi, Byeong Hyeon
Rho, Jiyun
Kim, Kyungsu
Lee, Jun Hee
Lee, Jinhwan
Kim, Beop-Min
Kim, Hyun Koo
author_facet Jeon, Ok Hwa
Choi, Byeong Hyeon
Rho, Jiyun
Kim, Kyungsu
Lee, Jun Hee
Lee, Jinhwan
Kim, Beop-Min
Kim, Hyun Koo
author_sort Jeon, Ok Hwa
collection PubMed
description SIMPLE SUMMARY: Multiple studies have performed intravenous injections of indocyanine green (ICG) for lung cancer detection, including primary and metastatic lung cancers. However, there is no consensus regarding the optimization of the ICG injection method. We optimized the ICG injection method (2 mg/kg at 12 h before surgery) using a rabbit model of lung cancer for the first time. Additionally, ICG-based cancer identifications are limited to solid tumors, and no study has examined lung ground-glass nodules (GGNs). We investigated the feasibility of ICG-based lung cancer imaging in adenocarcinoma presenting with GGNs and a consolidation-to-tumor (C/T) ratio ≤ 50% for the first time. Overall, 51 cases of lung cancer with a C/T ratio > 50% were successfully revealed with a 95% detection rate. Therefore, this study may provide guidance regarding ICG use for lung cancer detection, especially early-stage lung cancer. ABSTRACT: ICG fluorescence imaging has been used to detect lung cancer; however, there is no consensus regarding the optimization of the indocyanine green (ICG) injection method. The aim of this study was to determine the optimal dose and timing of ICG for lung cancer detection using animal models and to evaluate the feasibility of ICG fluorescence in lung cancer patients. In a preclinical study, twenty C57BL/6 mice with footpad cancer and thirty-three rabbits with VX2 lung cancer were used. These animals received an intravenous injection of ICG at 0.5, 1, 2, or 5 mg/kg, and the cancers were detected using a fluorescent imaging system after 3, 6, 12, and 24 h. In a clinical study, fifty-one patients diagnosed with lung cancer and scheduled to undergo surgery were included. Fluorescent images of lung cancer were obtained, and the fluorescent signal was quantified. Based on a preclinical study, the optimal injection method for lung cancer detection was 2 mg/kg ICG 12 h before surgery. Among the 51 patients, ICG successfully detected 37 of 39 cases with a consolidation-to-tumor (C/T) ratio of >50% (TNR: 3.3 ± 1.2), while it failed in 12 cases with a C/T ratio ≤ 50% and 2 cases with anthracosis. ICG injection at 2 mg/kg, 12 h before surgery was optimal for lung cancer detection. Lung cancers with the C/T ratio > 50% were successfully detected using ICG with a detection rate of 95%, but not with the C/T ratio ≤ 50%. Therefore, further research is needed to develop fluorescent agents targeting lung cancer.
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spelling pubmed-103778012023-07-29 Optimization of Indocyanine Green for Intraoperative Fluorescent Image-Guided Localization of Lung Cancer; Analysis Based on Solid Component of Lung Nodule Jeon, Ok Hwa Choi, Byeong Hyeon Rho, Jiyun Kim, Kyungsu Lee, Jun Hee Lee, Jinhwan Kim, Beop-Min Kim, Hyun Koo Cancers (Basel) Article SIMPLE SUMMARY: Multiple studies have performed intravenous injections of indocyanine green (ICG) for lung cancer detection, including primary and metastatic lung cancers. However, there is no consensus regarding the optimization of the ICG injection method. We optimized the ICG injection method (2 mg/kg at 12 h before surgery) using a rabbit model of lung cancer for the first time. Additionally, ICG-based cancer identifications are limited to solid tumors, and no study has examined lung ground-glass nodules (GGNs). We investigated the feasibility of ICG-based lung cancer imaging in adenocarcinoma presenting with GGNs and a consolidation-to-tumor (C/T) ratio ≤ 50% for the first time. Overall, 51 cases of lung cancer with a C/T ratio > 50% were successfully revealed with a 95% detection rate. Therefore, this study may provide guidance regarding ICG use for lung cancer detection, especially early-stage lung cancer. ABSTRACT: ICG fluorescence imaging has been used to detect lung cancer; however, there is no consensus regarding the optimization of the indocyanine green (ICG) injection method. The aim of this study was to determine the optimal dose and timing of ICG for lung cancer detection using animal models and to evaluate the feasibility of ICG fluorescence in lung cancer patients. In a preclinical study, twenty C57BL/6 mice with footpad cancer and thirty-three rabbits with VX2 lung cancer were used. These animals received an intravenous injection of ICG at 0.5, 1, 2, or 5 mg/kg, and the cancers were detected using a fluorescent imaging system after 3, 6, 12, and 24 h. In a clinical study, fifty-one patients diagnosed with lung cancer and scheduled to undergo surgery were included. Fluorescent images of lung cancer were obtained, and the fluorescent signal was quantified. Based on a preclinical study, the optimal injection method for lung cancer detection was 2 mg/kg ICG 12 h before surgery. Among the 51 patients, ICG successfully detected 37 of 39 cases with a consolidation-to-tumor (C/T) ratio of >50% (TNR: 3.3 ± 1.2), while it failed in 12 cases with a C/T ratio ≤ 50% and 2 cases with anthracosis. ICG injection at 2 mg/kg, 12 h before surgery was optimal for lung cancer detection. Lung cancers with the C/T ratio > 50% were successfully detected using ICG with a detection rate of 95%, but not with the C/T ratio ≤ 50%. Therefore, further research is needed to develop fluorescent agents targeting lung cancer. MDPI 2023-07-16 /pmc/articles/PMC10377801/ /pubmed/37509304 http://dx.doi.org/10.3390/cancers15143643 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Jeon, Ok Hwa
Choi, Byeong Hyeon
Rho, Jiyun
Kim, Kyungsu
Lee, Jun Hee
Lee, Jinhwan
Kim, Beop-Min
Kim, Hyun Koo
Optimization of Indocyanine Green for Intraoperative Fluorescent Image-Guided Localization of Lung Cancer; Analysis Based on Solid Component of Lung Nodule
title Optimization of Indocyanine Green for Intraoperative Fluorescent Image-Guided Localization of Lung Cancer; Analysis Based on Solid Component of Lung Nodule
title_full Optimization of Indocyanine Green for Intraoperative Fluorescent Image-Guided Localization of Lung Cancer; Analysis Based on Solid Component of Lung Nodule
title_fullStr Optimization of Indocyanine Green for Intraoperative Fluorescent Image-Guided Localization of Lung Cancer; Analysis Based on Solid Component of Lung Nodule
title_full_unstemmed Optimization of Indocyanine Green for Intraoperative Fluorescent Image-Guided Localization of Lung Cancer; Analysis Based on Solid Component of Lung Nodule
title_short Optimization of Indocyanine Green for Intraoperative Fluorescent Image-Guided Localization of Lung Cancer; Analysis Based on Solid Component of Lung Nodule
title_sort optimization of indocyanine green for intraoperative fluorescent image-guided localization of lung cancer; analysis based on solid component of lung nodule
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10377801/
https://www.ncbi.nlm.nih.gov/pubmed/37509304
http://dx.doi.org/10.3390/cancers15143643
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