Virtual reality and artificial intelligence for 3-dimensional planning of lung segmentectomiesCentral MessagePerspective
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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Elsevier
2021-06-01
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| Series: | JTCVS Techniques |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666250721002534 |
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| author | Amir H. Sadeghi, MD, MSc Alexander P.W. M. Maat, MD Yannick J.H. J. Taverne, MD, PhD Robin Cornelissen, MD, PhD Anne-Marie C. Dingemans, MD, PhD Ad J.J. C. Bogers, MD, PhD Edris A.F. Mahtab, MD, PhD |
| author_facet | Amir H. Sadeghi, MD, MSc Alexander P.W. M. Maat, MD Yannick J.H. J. Taverne, MD, PhD Robin Cornelissen, MD, PhD Anne-Marie C. Dingemans, MD, PhD Ad J.J. C. Bogers, MD, PhD Edris A.F. Mahtab, MD, PhD |
| author_sort | Amir H. Sadeghi, MD, MSc |
| collection | DOAJ |
| 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. |
| format | Article |
| id | doaj-art-89b065ed44b644fca9e6f5c2a15e4590 |
| institution | Kabale University |
| issn | 2666-2507 |
| language | English |
| publishDate | 2021-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | JTCVS Techniques |
| spelling | doaj-art-89b065ed44b644fca9e6f5c2a15e45902025-08-20T03:36:41ZengElsevierJTCVS Techniques2666-25072021-06-01730932110.1016/j.xjtc.2021.03.016Virtual reality and artificial intelligence for 3-dimensional planning of lung segmentectomiesCentral MessagePerspectiveAmir H. Sadeghi, MD, MSc0Alexander P.W. M. Maat, MD1Yannick J.H. J. Taverne, MD, PhD2Robin Cornelissen, MD, PhD3Anne-Marie C. Dingemans, MD, PhD4Ad J.J. C. Bogers, MD, PhD5Edris A.F. Mahtab, MD, PhD6Department of Cardiothoracic Surgery, Thoraxcenter, Erasmus Medical Center Rotterdam, Rotterdam, The Netherlands; Address for reprints: Amir H. Sadeghi, MD, MSc, Department of Cardiothoracic Surgery, Erasmus University Medical Center, Room Rg-635, PO Box 2040, 3015 GD Rotterdam, The Netherlands.Department of Cardiothoracic Surgery, Thoraxcenter, Erasmus Medical Center Rotterdam, Rotterdam, The NetherlandsDepartment of Cardiothoracic Surgery, Thoraxcenter, Erasmus Medical Center Rotterdam, Rotterdam, The NetherlandsDepartment of Pulmonary Medicine, Erasmus Medical Center Cancer Institute, Rotterdam, The NetherlandsDepartment of Pulmonary Medicine, Erasmus Medical Center Cancer Institute, Rotterdam, The NetherlandsDepartment of Cardiothoracic Surgery, Thoraxcenter, Erasmus Medical Center Rotterdam, Rotterdam, The NetherlandsDepartment of Cardiothoracic Surgery, Thoraxcenter, Erasmus Medical Center Rotterdam, Rotterdam, The NetherlandsBackground: 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.http://www.sciencedirect.com/science/article/pii/S2666250721002534virtual realitypreoperative planningsegmentectomyvideo-assisted thoracoscopic surgerylung cancer |
| spellingShingle | Amir H. Sadeghi, MD, MSc Alexander P.W. M. Maat, MD Yannick J.H. J. Taverne, MD, PhD Robin Cornelissen, MD, PhD Anne-Marie C. Dingemans, MD, PhD Ad J.J. C. Bogers, MD, PhD Edris A.F. Mahtab, MD, PhD Virtual reality and artificial intelligence for 3-dimensional planning of lung segmentectomiesCentral MessagePerspective JTCVS Techniques virtual reality preoperative planning segmentectomy video-assisted thoracoscopic surgery lung cancer |
| title | Virtual reality and artificial intelligence for 3-dimensional planning of lung segmentectomiesCentral MessagePerspective |
| title_full | Virtual reality and artificial intelligence for 3-dimensional planning of lung segmentectomiesCentral MessagePerspective |
| title_fullStr | Virtual reality and artificial intelligence for 3-dimensional planning of lung segmentectomiesCentral MessagePerspective |
| title_full_unstemmed | Virtual reality and artificial intelligence for 3-dimensional planning of lung segmentectomiesCentral MessagePerspective |
| title_short | Virtual reality and artificial intelligence for 3-dimensional planning of lung segmentectomiesCentral MessagePerspective |
| title_sort | virtual reality and artificial intelligence for 3 dimensional planning of lung segmentectomiescentral messageperspective |
| topic | virtual reality preoperative planning segmentectomy video-assisted thoracoscopic surgery lung cancer |
| url | http://www.sciencedirect.com/science/article/pii/S2666250721002534 |
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