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Improved visualization of virtual-assisted lung mapping by indocyanine green

OBJECTIVES: Virtual-assisted lung mapping (VAL-MAP) is a bronchoscopic marking method of dye application on the surface of the lungs before resecting nonpalpable nodules. However, in some cases, it can be difficult to identify the markings of VAL-MAP on computed tomography and intraoperative thoraco...

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Autores principales: Tokuno, Junko, Chen-Yoshikawa, Toyofumi F., Nakajima, Daisuke, Aoyama, Akihiro, Motoyama, Hideki, Sato, Masaaki, Date, Hiroshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8690872/
https://www.ncbi.nlm.nih.gov/pubmed/34977805
http://dx.doi.org/10.1016/j.xjtc.2021.07.019
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author Tokuno, Junko
Chen-Yoshikawa, Toyofumi F.
Nakajima, Daisuke
Aoyama, Akihiro
Motoyama, Hideki
Sato, Masaaki
Date, Hiroshi
author_facet Tokuno, Junko
Chen-Yoshikawa, Toyofumi F.
Nakajima, Daisuke
Aoyama, Akihiro
Motoyama, Hideki
Sato, Masaaki
Date, Hiroshi
author_sort Tokuno, Junko
collection PubMed
description OBJECTIVES: Virtual-assisted lung mapping (VAL-MAP) is a bronchoscopic marking method of dye application on the surface of the lungs before resecting nonpalpable nodules. However, in some cases, it can be difficult to identify the markings of VAL-MAP on computed tomography and intraoperative thoracoscopy. We developed and assessed the feasibility of indocyanine green VAL-MAP (ICG-VAL-MAP). METHODS: A historical control trial was conducted to investigate the effectiveness of ICG-VAL-MAP for marking visualization compared with that of VAL-MAP. In ICG-VAL-MAP, instead of indigo carmine, ICG and computed tomography contrast agents were used for dye marking, and near-infrared fluorescence endoscopy was employed to visualize the ICG markings. The other processes in VAL-MAP were carried out. The marking visibility was assessed in 3 grades of easy, faint, or not identifiable. We compared the visibility of the markings on computed tomography images and during thoracoscopic operations between VAL-MAP (567 markings in 147 cases) and ICG-VAL-MAP (142 markings in 63 cases). RESULTS: On the preoperative computed tomography images, ICG-VAL-MAP provided significantly better marking visualization than VAL-MAP (easy/faint/not identifiable = 142/0/0 vs 427/100/30; P < .0001). ICG-VAL-MAP provided significantly better intraoperative markings than VAL-MAP (easy/faint/not identifiable = 141/0/1, respectively, vs 475/50/42, respectively; P < .0001). Regarding complications, pneumothorax occurred in 8 (5.4%) cases of VAL-MAP and zero cases (0%) of ICG-VAL-MAP (P = .12); fever was observed in 7 (5.0%) cases of VAL-MAP and 2 (3.2%) cases of ICG-VAL-MAP (P = .72). CONCLUSIONS: ICG-VAL-MAP provided significantly better visibility of markings than VAL-MAP. It might be useful in the resection of nonpalpable small lung lesions.
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spelling pubmed-86908722021-12-30 Improved visualization of virtual-assisted lung mapping by indocyanine green Tokuno, Junko Chen-Yoshikawa, Toyofumi F. Nakajima, Daisuke Aoyama, Akihiro Motoyama, Hideki Sato, Masaaki Date, Hiroshi JTCVS Tech Thoracic: Lung: Evolving Technology OBJECTIVES: Virtual-assisted lung mapping (VAL-MAP) is a bronchoscopic marking method of dye application on the surface of the lungs before resecting nonpalpable nodules. However, in some cases, it can be difficult to identify the markings of VAL-MAP on computed tomography and intraoperative thoracoscopy. We developed and assessed the feasibility of indocyanine green VAL-MAP (ICG-VAL-MAP). METHODS: A historical control trial was conducted to investigate the effectiveness of ICG-VAL-MAP for marking visualization compared with that of VAL-MAP. In ICG-VAL-MAP, instead of indigo carmine, ICG and computed tomography contrast agents were used for dye marking, and near-infrared fluorescence endoscopy was employed to visualize the ICG markings. The other processes in VAL-MAP were carried out. The marking visibility was assessed in 3 grades of easy, faint, or not identifiable. We compared the visibility of the markings on computed tomography images and during thoracoscopic operations between VAL-MAP (567 markings in 147 cases) and ICG-VAL-MAP (142 markings in 63 cases). RESULTS: On the preoperative computed tomography images, ICG-VAL-MAP provided significantly better marking visualization than VAL-MAP (easy/faint/not identifiable = 142/0/0 vs 427/100/30; P < .0001). ICG-VAL-MAP provided significantly better intraoperative markings than VAL-MAP (easy/faint/not identifiable = 141/0/1, respectively, vs 475/50/42, respectively; P < .0001). Regarding complications, pneumothorax occurred in 8 (5.4%) cases of VAL-MAP and zero cases (0%) of ICG-VAL-MAP (P = .12); fever was observed in 7 (5.0%) cases of VAL-MAP and 2 (3.2%) cases of ICG-VAL-MAP (P = .72). CONCLUSIONS: ICG-VAL-MAP provided significantly better visibility of markings than VAL-MAP. It might be useful in the resection of nonpalpable small lung lesions. Elsevier 2021-08-08 /pmc/articles/PMC8690872/ /pubmed/34977805 http://dx.doi.org/10.1016/j.xjtc.2021.07.019 Text en © 2021 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Thoracic: Lung: Evolving Technology
Tokuno, Junko
Chen-Yoshikawa, Toyofumi F.
Nakajima, Daisuke
Aoyama, Akihiro
Motoyama, Hideki
Sato, Masaaki
Date, Hiroshi
Improved visualization of virtual-assisted lung mapping by indocyanine green
title Improved visualization of virtual-assisted lung mapping by indocyanine green
title_full Improved visualization of virtual-assisted lung mapping by indocyanine green
title_fullStr Improved visualization of virtual-assisted lung mapping by indocyanine green
title_full_unstemmed Improved visualization of virtual-assisted lung mapping by indocyanine green
title_short Improved visualization of virtual-assisted lung mapping by indocyanine green
title_sort improved visualization of virtual-assisted lung mapping by indocyanine green
topic Thoracic: Lung: Evolving Technology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8690872/
https://www.ncbi.nlm.nih.gov/pubmed/34977805
http://dx.doi.org/10.1016/j.xjtc.2021.07.019
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