{"title":"三维全息引导机器人肺段切除术治疗深部肺结节:技术和初步结果。","authors":"Patrick Bagan, Kaouther Aissa, Rime Essid, Wissam Azbabay, Rym Zaimi, Bassel Dakhil","doi":"10.1177/15533506241290069","DOIUrl":null,"url":null,"abstract":"<p><p><b>Background:</b> Diagnosis and treatment of <i>small and isolated lung</i> nodules remain challenging issues. <b>Purpose:</b> The aim of this article is to report the technique of real-time navigation using holographic reconstruction technology combined with a robot assisted thoracic surgery (RATS) platform for lung resection in patients with <i>small deep nodules</i>.<b>Research Design:</b> The pre-surgery 3D planning was based on the chest CT scan. The reconstruction was uploaded to a head-mounted display for real-time navigation during mini invasive robot assisted surgery performed with an open console platform. We evaluated this technique with the success rate of diagnosis, the operative time and the post-operative course.<b>Study Sample:</b> This technique was performed in 6 patients (4 female, mean age 65 years) to date.<b>Results:</b> The precision of the head-mounted display based localization system was effective in all cases without the need of open conversion. The mean diameter of the nodules was 8 mm (6-9). The diagnosis was a lung cancer (n = 5) and tuberculoma (n = 1). The mean operative time was 125 min (100-145). The mean hospital stay was 2.5 days (1-3).<b>Conclusions:</b> In conclusion, the intraoperative navigation using the 3D holographic assistance was an helpful tool for mini invasive RATS lung segmentectomy without the need of preoperative localization.</p>","PeriodicalId":22095,"journal":{"name":"Surgical Innovation","volume":null,"pages":null},"PeriodicalIF":1.2000,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Three-Dimensional Holographic-Guided Robotic Lung Segmentectomy for Deep Pulmonary Nodules: Technique and Initial Results.\",\"authors\":\"Patrick Bagan, Kaouther Aissa, Rime Essid, Wissam Azbabay, Rym Zaimi, Bassel Dakhil\",\"doi\":\"10.1177/15533506241290069\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p><b>Background:</b> Diagnosis and treatment of <i>small and isolated lung</i> nodules remain challenging issues. <b>Purpose:</b> The aim of this article is to report the technique of real-time navigation using holographic reconstruction technology combined with a robot assisted thoracic surgery (RATS) platform for lung resection in patients with <i>small deep nodules</i>.<b>Research Design:</b> The pre-surgery 3D planning was based on the chest CT scan. The reconstruction was uploaded to a head-mounted display for real-time navigation during mini invasive robot assisted surgery performed with an open console platform. We evaluated this technique with the success rate of diagnosis, the operative time and the post-operative course.<b>Study Sample:</b> This technique was performed in 6 patients (4 female, mean age 65 years) to date.<b>Results:</b> The precision of the head-mounted display based localization system was effective in all cases without the need of open conversion. The mean diameter of the nodules was 8 mm (6-9). The diagnosis was a lung cancer (n = 5) and tuberculoma (n = 1). The mean operative time was 125 min (100-145). The mean hospital stay was 2.5 days (1-3).<b>Conclusions:</b> In conclusion, the intraoperative navigation using the 3D holographic assistance was an helpful tool for mini invasive RATS lung segmentectomy without the need of preoperative localization.</p>\",\"PeriodicalId\":22095,\"journal\":{\"name\":\"Surgical Innovation\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.2000,\"publicationDate\":\"2024-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Surgical Innovation\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1177/15533506241290069\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/10/3 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q3\",\"JCRName\":\"SURGERY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Surgical Innovation","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1177/15533506241290069","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/10/3 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"SURGERY","Score":null,"Total":0}
Three-Dimensional Holographic-Guided Robotic Lung Segmentectomy for Deep Pulmonary Nodules: Technique and Initial Results.
Background: Diagnosis and treatment of small and isolated lung nodules remain challenging issues. Purpose: The aim of this article is to report the technique of real-time navigation using holographic reconstruction technology combined with a robot assisted thoracic surgery (RATS) platform for lung resection in patients with small deep nodules.Research Design: The pre-surgery 3D planning was based on the chest CT scan. The reconstruction was uploaded to a head-mounted display for real-time navigation during mini invasive robot assisted surgery performed with an open console platform. We evaluated this technique with the success rate of diagnosis, the operative time and the post-operative course.Study Sample: This technique was performed in 6 patients (4 female, mean age 65 years) to date.Results: The precision of the head-mounted display based localization system was effective in all cases without the need of open conversion. The mean diameter of the nodules was 8 mm (6-9). The diagnosis was a lung cancer (n = 5) and tuberculoma (n = 1). The mean operative time was 125 min (100-145). The mean hospital stay was 2.5 days (1-3).Conclusions: In conclusion, the intraoperative navigation using the 3D holographic assistance was an helpful tool for mini invasive RATS lung segmentectomy without the need of preoperative localization.
期刊介绍:
Surgical Innovation (SRI) is a peer-reviewed bi-monthly journal focusing on minimally invasive surgical techniques, new instruments such as laparoscopes and endoscopes, and new technologies. SRI prepares surgeons to think and work in "the operating room of the future" through learning new techniques, understanding and adapting to new technologies, maintaining surgical competencies, and applying surgical outcomes data to their practices. This journal is a member of the Committee on Publication Ethics (COPE).