Division of Vascular and Endovascular Surgery, Department of Surgery, University of California San Diego, San Diego, CA.
Division of Vascular and Endovascular Surgery, Department of Surgery, University of California San Diego, San Diego, CA.
J Vasc Surg. 2023 Apr;77(4):982-990.e2. doi: 10.1016/j.jvs.2022.12.033. Epub 2022 Dec 26.
The introduction of endovascular procedures has revolutionized the management of complex aortic aneurysms. Although repair has traditionally required longer operative times and increased radiation exposure compared with simple endovascular aneurysm repair, the recent introduction of three-dimensional technology has become an invaluable operative adjunct. Surgical augmented intelligence (AI) is a rapidly evolving tool initiated at our institution in June 2019. In our study, we sought to determine whether this technology improved patient and operator safety.
A retrospective review of patients who had undergone endovascular repair of complex aortic aneurysms (pararenal, juxtarenal, or thoracoabdominal), type B dissection, or infrarenal (endoleak, coil placement, or renal angiography with or without intervention) at a tertiary care center from August 2015 to November 2021 was performed. Patients were stratified according to the findings from intelligent maps, which are patient-specific AI tools used in the operating room in conjunction with real-time fluoroscopic images. The primary outcomes included operative time, radiation exposure, fluoroscopy time, and contrast use. The secondary outcomes included 30-day postoperative complications and long-term follow-up. Linear regression models were used to evaluate the association between AI use and the main outcomes.
During the 6-year period, 116 patients were included in the present study, with no significant differences in the baseline characteristics. Of the 116 patients, 76 (65.5%) had undergone procedures using AI and 40 (34.5%) had undergone procedures without AI software. The intraoperative outcomes revealed a significant decrease in radiation exposure (AI group, 1955 mGy; vs non-AI group, 3755 mGy; P = .004), a significant decrease in the fluoroscopy time (AI group, 55.6 minutes; vs non-AI group, 86.9 minutes; P = .007), a decrease in the operative time (AI group, 255 minutes; vs non-AI group, 284 minutes; P = .294), and a significant decrease in contrast use (AI group, 123 mL; vs non-AI group, 199 mL; P < .0001). No differences were found in the 30-day and long-term outcomes.
The results from the present study have demonstrated that the use of AI technology combined with intraoperative imaging can significantly facilitate complex endovascular aneurysm repair by decreasing the operative time, radiation exposure, fluoroscopy time, and contrast use. Overall, evolving technology such as AI has improved radiation safety for both the patient and the entire operating room team.
血管内治疗的引入彻底改变了复杂主动脉瘤的治疗方式。尽管与简单的血管内动脉瘤修复相比,修复传统上需要更长的手术时间和更高的辐射暴露,但最近引入的三维技术已成为一种非常宝贵的手术辅助手段。手术增强型人工智能(AI)是我们医院于 2019 年 6 月启动的一项快速发展的工具。在我们的研究中,我们旨在确定该技术是否提高了患者和操作人员的安全性。
对 2015 年 8 月至 2021 年 11 月在一家三级护理中心接受复杂主动脉瘤(肾周、肾旁或胸腹主动脉)、B 型夹层或肾下(内漏、线圈放置或肾血管造影术伴或不伴介入)血管内修复的患者进行回顾性研究。根据智能图谱的结果对患者进行分层,智能图谱是一种患者特异性的人工智能工具,在手术室中与实时荧光透视图像一起使用。主要结果包括手术时间、辐射暴露、透视时间和对比剂使用。次要结果包括 30 天术后并发症和长期随访。线性回归模型用于评估 AI 使用与主要结果之间的关系。
在 6 年期间,本研究纳入了 116 名患者,两组患者的基线特征无显著差异。在 116 名患者中,76 名(65.5%)接受了使用 AI 的手术,40 名(34.5%)接受了没有 AI 软件的手术。术中结果显示,辐射暴露显著降低(AI 组 1955mGy;非 AI 组 3755mGy;P=0.004),透视时间显著缩短(AI 组 55.6 分钟;非 AI 组 86.9 分钟;P=0.007),手术时间缩短(AI 组 255 分钟;非 AI 组 284 分钟;P=0.294),对比剂用量减少(AI 组 123mL;非 AI 组 199mL;P<0.0001)。两组患者 30 天和长期结局无差异。
本研究结果表明,将 AI 技术与术中成像相结合可显著缩短手术时间、降低辐射暴露、透视时间和对比剂用量,从而有助于复杂的血管内动脉瘤修复。总的来说,像 AI 这样的先进技术提高了患者和整个手术室团队的辐射安全性。