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Augmented reality-assisted systematic mapping of anterolateral thigh perforators

PURPOSE: In soft tissue reconstructive surgery, perforator localization and flap harvesting have always been critical challenges, but augmented reality (AR) has become a dominant technology to help map perforators. METHODS: The lateral circumflex femoral artery (LCFA) and its perforators were recons...

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Autores principales: Tang, Yifu, Guo, Qiang, Li, Xiaoning, Huang, Yuzhao, Kuang, Wei, Luo, Ling
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9716696/
https://www.ncbi.nlm.nih.gov/pubmed/36457082
http://dx.doi.org/10.1186/s12891-022-06013-1
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author Tang, Yifu
Guo, Qiang
Li, Xiaoning
Huang, Yuzhao
Kuang, Wei
Luo, Ling
author_facet Tang, Yifu
Guo, Qiang
Li, Xiaoning
Huang, Yuzhao
Kuang, Wei
Luo, Ling
author_sort Tang, Yifu
collection PubMed
description PURPOSE: In soft tissue reconstructive surgery, perforator localization and flap harvesting have always been critical challenges, but augmented reality (AR) has become a dominant technology to help map perforators. METHODS: The lateral circumflex femoral artery (LCFA) and its perforators were reconstructed by CTA in consecutive patients (N = 14). Then, the anterolateral thigh perforators and the points from which the perforators emerged from the deep fascia were marked and projected onto the skin surface. As the virtual images were projected onto patients according to bony markers, the courses of the LCFA and its perforators were depicted on the skin surface for intraoperative guidance. Finally, the locations of the emergence points were verified by intraoperative findings and compared to those determined by handheld Doppler ultrasound. RESULTS: The sources, locations, and numbers of perforators were determined by CTA. The perforators and their emergence points were accurately mapped on the skin surface by a portable projector to harvest the anterolateral thigh perforator flap. During the operation, the accuracy of the CTA & AR method was 90.2% (37/41), and the sensitivity reached 97.4% (37/38), which were much higher than the corresponding values of Doppler ultrasound. Additionally, the differences between the AR-marked points and the intraoperative findings were much smaller than those seen with Doppler ultrasound (P < 0.001). Consequently, all of the flaps were well designed and survived, and only one complication occurred. CONCLUSION: Augmented reality, namely, CTA combined with projection in this study, plays a vital and reliable role in locating the perforator emergence points and guiding the procedure to harvest flaps and has fewer potential risks.
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spelling pubmed-97166962022-12-03 Augmented reality-assisted systematic mapping of anterolateral thigh perforators Tang, Yifu Guo, Qiang Li, Xiaoning Huang, Yuzhao Kuang, Wei Luo, Ling BMC Musculoskelet Disord Research PURPOSE: In soft tissue reconstructive surgery, perforator localization and flap harvesting have always been critical challenges, but augmented reality (AR) has become a dominant technology to help map perforators. METHODS: The lateral circumflex femoral artery (LCFA) and its perforators were reconstructed by CTA in consecutive patients (N = 14). Then, the anterolateral thigh perforators and the points from which the perforators emerged from the deep fascia were marked and projected onto the skin surface. As the virtual images were projected onto patients according to bony markers, the courses of the LCFA and its perforators were depicted on the skin surface for intraoperative guidance. Finally, the locations of the emergence points were verified by intraoperative findings and compared to those determined by handheld Doppler ultrasound. RESULTS: The sources, locations, and numbers of perforators were determined by CTA. The perforators and their emergence points were accurately mapped on the skin surface by a portable projector to harvest the anterolateral thigh perforator flap. During the operation, the accuracy of the CTA & AR method was 90.2% (37/41), and the sensitivity reached 97.4% (37/38), which were much higher than the corresponding values of Doppler ultrasound. Additionally, the differences between the AR-marked points and the intraoperative findings were much smaller than those seen with Doppler ultrasound (P < 0.001). Consequently, all of the flaps were well designed and survived, and only one complication occurred. CONCLUSION: Augmented reality, namely, CTA combined with projection in this study, plays a vital and reliable role in locating the perforator emergence points and guiding the procedure to harvest flaps and has fewer potential risks. BioMed Central 2022-12-02 /pmc/articles/PMC9716696/ /pubmed/36457082 http://dx.doi.org/10.1186/s12891-022-06013-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Tang, Yifu
Guo, Qiang
Li, Xiaoning
Huang, Yuzhao
Kuang, Wei
Luo, Ling
Augmented reality-assisted systematic mapping of anterolateral thigh perforators
title Augmented reality-assisted systematic mapping of anterolateral thigh perforators
title_full Augmented reality-assisted systematic mapping of anterolateral thigh perforators
title_fullStr Augmented reality-assisted systematic mapping of anterolateral thigh perforators
title_full_unstemmed Augmented reality-assisted systematic mapping of anterolateral thigh perforators
title_short Augmented reality-assisted systematic mapping of anterolateral thigh perforators
title_sort augmented reality-assisted systematic mapping of anterolateral thigh perforators
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9716696/
https://www.ncbi.nlm.nih.gov/pubmed/36457082
http://dx.doi.org/10.1186/s12891-022-06013-1
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