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Virtual reality and artificial intelligence for 3-dimensional planning of lung segmentectomies

BACKGROUND: There has been an increasing trend toward pulmonary segmentectomies to treat early-stage lung cancer, small intrapulmonary metastases, and localized benign pathology. A complete preoperative understanding of pulmonary anatomy is essential for accurate surgical planning and case selection...

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Autores principales: Sadeghi, Amir H., Maat, Alexander P.W. M., Taverne, Yannick J.H. J., Cornelissen, Robin, Dingemans, Anne-Marie C., Bogers, Ad J.J. C., Mahtab, Edris A.F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8312141/
https://www.ncbi.nlm.nih.gov/pubmed/34318279
http://dx.doi.org/10.1016/j.xjtc.2021.03.016
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author Sadeghi, Amir H.
Maat, Alexander P.W. M.
Taverne, Yannick J.H. J.
Cornelissen, Robin
Dingemans, Anne-Marie C.
Bogers, Ad J.J. C.
Mahtab, Edris A.F.
author_facet Sadeghi, Amir H.
Maat, Alexander P.W. M.
Taverne, Yannick J.H. J.
Cornelissen, Robin
Dingemans, Anne-Marie C.
Bogers, Ad J.J. C.
Mahtab, Edris A.F.
author_sort Sadeghi, Amir H.
collection PubMed
description BACKGROUND: There has been an increasing trend toward pulmonary segmentectomies to treat early-stage lung cancer, small intrapulmonary metastases, and localized benign pathology. A complete preoperative understanding of pulmonary anatomy is essential for accurate surgical planning and case selection. Identifying intersegmental divisions is extremely difficult when performed on computed tomography. For the preoperative planning of segmentectomies, virtual reality (VR) and artificial intelligence could allow 3-dimensional visualization of the complex anatomy of pulmonary segmental divisions, vascular arborization, and bronchial anatomy. This technology can be applied by surgeons preoperatively to gain better insight into a patient's anatomy for planning segmentectomy. METHODS: In this prospective observational pilot study, we aim to assess and demonstrate the technical feasibility and clinical applicability of the first dedicated artificial intelligence-based and immersive 3-dimensional-VR platform (PulmoVR; jointly developed and manufactured by Department of Cardiothoracic Surgery [Erasmus Medical Center, Rotterdam, The Netherlands], MedicalVR [Amsterdam, The Netherlands], EVOCS Medical Image Communication [Fysicon BV, Oss, The Netherlands], and Thirona [Nijmegen, The Netherlands]) for preoperative planning of video-assisted thoracoscopic segmentectomies. RESULTS: A total of 10 eligible patients for segmentectomy were included in this study after referral through the institutional thoracic oncology multidisciplinary team. PulmoVR was successfully applied as a supplementary imaging tool to perform video-assisted thoracoscopic segmentectomies. In 40% of the cases, the surgical strategy was adjusted due to the 3-dimensional-VR–based evaluation of anatomy. This underlines the potential benefit of additional VR-guided planning of segmentectomy for both surgeon and patient. CONCLUSIONS: Our study demonstrates the successful development and clinical application of the first dedicated artificial intelligence and VR platform for the planning of pulmonary segmentectomy. This is the first study that shows an immersive virtual reality-based application for preoperative planning of segmentectomy to the best of our knowledge.
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spelling pubmed-83121412021-07-26 Virtual reality and artificial intelligence for 3-dimensional planning of lung segmentectomies Sadeghi, Amir H. Maat, Alexander P.W. M. Taverne, Yannick J.H. J. Cornelissen, Robin Dingemans, Anne-Marie C. Bogers, Ad J.J. C. Mahtab, Edris A.F. JTCVS Tech Thoracic: Lung Cancer: Evolving Technology BACKGROUND: There has been an increasing trend toward pulmonary segmentectomies to treat early-stage lung cancer, small intrapulmonary metastases, and localized benign pathology. A complete preoperative understanding of pulmonary anatomy is essential for accurate surgical planning and case selection. Identifying intersegmental divisions is extremely difficult when performed on computed tomography. For the preoperative planning of segmentectomies, virtual reality (VR) and artificial intelligence could allow 3-dimensional visualization of the complex anatomy of pulmonary segmental divisions, vascular arborization, and bronchial anatomy. This technology can be applied by surgeons preoperatively to gain better insight into a patient's anatomy for planning segmentectomy. METHODS: In this prospective observational pilot study, we aim to assess and demonstrate the technical feasibility and clinical applicability of the first dedicated artificial intelligence-based and immersive 3-dimensional-VR platform (PulmoVR; jointly developed and manufactured by Department of Cardiothoracic Surgery [Erasmus Medical Center, Rotterdam, The Netherlands], MedicalVR [Amsterdam, The Netherlands], EVOCS Medical Image Communication [Fysicon BV, Oss, The Netherlands], and Thirona [Nijmegen, The Netherlands]) for preoperative planning of video-assisted thoracoscopic segmentectomies. RESULTS: A total of 10 eligible patients for segmentectomy were included in this study after referral through the institutional thoracic oncology multidisciplinary team. PulmoVR was successfully applied as a supplementary imaging tool to perform video-assisted thoracoscopic segmentectomies. In 40% of the cases, the surgical strategy was adjusted due to the 3-dimensional-VR–based evaluation of anatomy. This underlines the potential benefit of additional VR-guided planning of segmentectomy for both surgeon and patient. CONCLUSIONS: Our study demonstrates the successful development and clinical application of the first dedicated artificial intelligence and VR platform for the planning of pulmonary segmentectomy. This is the first study that shows an immersive virtual reality-based application for preoperative planning of segmentectomy to the best of our knowledge. Elsevier 2021-03-16 /pmc/articles/PMC8312141/ /pubmed/34318279 http://dx.doi.org/10.1016/j.xjtc.2021.03.016 Text en © 2021 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Thoracic: Lung Cancer: Evolving Technology
Sadeghi, Amir H.
Maat, Alexander P.W. M.
Taverne, Yannick J.H. J.
Cornelissen, Robin
Dingemans, Anne-Marie C.
Bogers, Ad J.J. C.
Mahtab, Edris A.F.
Virtual reality and artificial intelligence for 3-dimensional planning of lung segmentectomies
title Virtual reality and artificial intelligence for 3-dimensional planning of lung segmentectomies
title_full Virtual reality and artificial intelligence for 3-dimensional planning of lung segmentectomies
title_fullStr Virtual reality and artificial intelligence for 3-dimensional planning of lung segmentectomies
title_full_unstemmed Virtual reality and artificial intelligence for 3-dimensional planning of lung segmentectomies
title_short Virtual reality and artificial intelligence for 3-dimensional planning of lung segmentectomies
title_sort virtual reality and artificial intelligence for 3-dimensional planning of lung segmentectomies
topic Thoracic: Lung Cancer: Evolving Technology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8312141/
https://www.ncbi.nlm.nih.gov/pubmed/34318279
http://dx.doi.org/10.1016/j.xjtc.2021.03.016
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