Ammad A Baig, Christopher Manion, Wasiq I Khawar, Brianna M Donnelly, Kunal Raygor, Ryan Turner, David R Holmes, Vijay S Iyer, L Nelson Hopkins, Jason M Davies, Elad I Levy, Adnan H Siddiqui
{"title":"使用机器人经颅多普勒和人工智能进行脑栓塞检测和自主神经监测,用于有或无栓塞保护装置的经导管主动脉瓣置换术:一项初步研究。","authors":"Ammad A Baig, Christopher Manion, Wasiq I Khawar, Brianna M Donnelly, Kunal Raygor, Ryan Turner, David R Holmes, Vijay S Iyer, L Nelson Hopkins, Jason M Davies, Elad I Levy, Adnan H Siddiqui","doi":"10.1136/jnis-2023-020812","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Periprocedural ischemic stroke remains a serious complication in patients undergoing transcatheter aortic valve replacement (TAVR). We used a novel robotic transcranial Doppler (TCD) system equipped with artificial intelligence (AI) for real-time continuous intraoperative neuromonitoring during TAVR to establish the safety and potential validity of this tool in detecting cerebral emboli, report the quantity and distribution of high intensity transient signals (HITS) with and without cerebral protection, and correlate HITS occurrence with various procedural steps.</p><p><strong>Methods: </strong>Consecutive patients undergoing TAVR procedures during which the robotic system was used between October 2021 and May 2022 were prospectively enrolled in this pilot study. The robotic TCD system included autonomous adjustment of the TCD probes and AI-assisted post-processing of HITS and other cerebral flow parameters. Basic demographics and procedural details were recorded. Continuous variables were analyzed by a two-sample Mann-Whitney t-test and categorical variables by a χ<sup>2</sup> or Fisher test.</p><p><strong>Results: </strong>Thirty-one patients were prospectively enrolled (mean age 79.9±7.6 years; 16 men (51.6%)). Mean aortic valve stenotic area was 0.7 cm<sup>2</sup> and mean aortic-ventricular gradient was 43 mmHg (IQR 31.5-50 mmHg). Cerebral protection was used in 16 cases (51.6%). Significantly fewer emboli were observed in the protection group than in the non-protection group (mean 470.38 vs 693.33; p=0.01). Emboli counts during valve positioning and implantation were significantly different in the protection and non-protection groups (mean 249.92 and 387.5, respectively; p=0.01). One (4%) transient ischemic attack occurred post-procedurally in the non-protection group.</p><p><strong>Conclusion: </strong>We describe a novel real-time intraoperative neuromonitoring tool used in patients undergoing TAVR. Significantly fewer HITS were detected with protection. Valve positioning-implantation was the most significant stage for intraprocedural HITS.</p>","PeriodicalId":16411,"journal":{"name":"Journal of NeuroInterventional Surgery","volume":" ","pages":"1167-1173"},"PeriodicalIF":4.5000,"publicationDate":"2024-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Cerebral emboli detection and autonomous neuromonitoring using robotic transcranial Doppler with artificial intelligence for transcatheter aortic valve replacement with and without embolic protection devices: a pilot study.\",\"authors\":\"Ammad A Baig, Christopher Manion, Wasiq I Khawar, Brianna M Donnelly, Kunal Raygor, Ryan Turner, David R Holmes, Vijay S Iyer, L Nelson Hopkins, Jason M Davies, Elad I Levy, Adnan H Siddiqui\",\"doi\":\"10.1136/jnis-2023-020812\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Periprocedural ischemic stroke remains a serious complication in patients undergoing transcatheter aortic valve replacement (TAVR). We used a novel robotic transcranial Doppler (TCD) system equipped with artificial intelligence (AI) for real-time continuous intraoperative neuromonitoring during TAVR to establish the safety and potential validity of this tool in detecting cerebral emboli, report the quantity and distribution of high intensity transient signals (HITS) with and without cerebral protection, and correlate HITS occurrence with various procedural steps.</p><p><strong>Methods: </strong>Consecutive patients undergoing TAVR procedures during which the robotic system was used between October 2021 and May 2022 were prospectively enrolled in this pilot study. The robotic TCD system included autonomous adjustment of the TCD probes and AI-assisted post-processing of HITS and other cerebral flow parameters. Basic demographics and procedural details were recorded. Continuous variables were analyzed by a two-sample Mann-Whitney t-test and categorical variables by a χ<sup>2</sup> or Fisher test.</p><p><strong>Results: </strong>Thirty-one patients were prospectively enrolled (mean age 79.9±7.6 years; 16 men (51.6%)). Mean aortic valve stenotic area was 0.7 cm<sup>2</sup> and mean aortic-ventricular gradient was 43 mmHg (IQR 31.5-50 mmHg). Cerebral protection was used in 16 cases (51.6%). Significantly fewer emboli were observed in the protection group than in the non-protection group (mean 470.38 vs 693.33; p=0.01). Emboli counts during valve positioning and implantation were significantly different in the protection and non-protection groups (mean 249.92 and 387.5, respectively; p=0.01). One (4%) transient ischemic attack occurred post-procedurally in the non-protection group.</p><p><strong>Conclusion: </strong>We describe a novel real-time intraoperative neuromonitoring tool used in patients undergoing TAVR. Significantly fewer HITS were detected with protection. Valve positioning-implantation was the most significant stage for intraprocedural HITS.</p>\",\"PeriodicalId\":16411,\"journal\":{\"name\":\"Journal of NeuroInterventional Surgery\",\"volume\":\" \",\"pages\":\"1167-1173\"},\"PeriodicalIF\":4.5000,\"publicationDate\":\"2024-10-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of NeuroInterventional Surgery\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1136/jnis-2023-020812\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"NEUROIMAGING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of NeuroInterventional Surgery","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1136/jnis-2023-020812","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"NEUROIMAGING","Score":null,"Total":0}
引用次数: 0
摘要
背景:在接受经导管主动脉瓣置换术(TAVR)的患者中,围术期缺血性卒中仍然是一种严重的并发症。我们使用一种配备人工智能(AI)的新型机器人经颅多普勒(TCD)系统在TAVR期间进行实时连续的术中神经监测,以确定该工具在检测脑栓塞方面的安全性和潜在有效性,报告有无脑保护的高强度瞬态信号(HITS)的数量和分布,并将HITS的发生与各种程序步骤相关联。方法:在2021年10月至2022年5月期间,连续接受TAVR手术并使用机器人系统的患者前瞻性地纳入这项试点研究。机器人TCD系统包括TCD探针的自主调节和HITS和其他脑血流参数的人工智能辅助后处理。记录了基本的人口统计和手术细节。连续变量采用两样本Mann-Whitney t检验进行分析,分类变量采用χ2或Fisher检验进行分析。结果:31名患者前瞻性入选(平均年龄79.9±7.6岁;16名男性(51.6%))。平均主动脉瓣狭窄面积为0.7 cm2,平均主动脉-心室梯度为43 mmHg(IQR 31.5-50 mmHg)。16例(51.6%)使用了脑保护。保护组观察到的栓塞明显少于非保护组(平均470.38 vs 693.33;p=0.01)。保护组和非保护组在瓣膜定位和植入过程中的栓塞计数显著不同(分别为平均249.92和387.5;p=0.01%)。一例(4%)短暂性脑缺血发作发生在非保护组的程序后。结论:我们描述了一种用于TAVR患者的新型术中实时神经监测工具。使用保护检测到的HITS显著减少。瓣膜定位植入术是术中HITS最重要的阶段。
Cerebral emboli detection and autonomous neuromonitoring using robotic transcranial Doppler with artificial intelligence for transcatheter aortic valve replacement with and without embolic protection devices: a pilot study.
Background: Periprocedural ischemic stroke remains a serious complication in patients undergoing transcatheter aortic valve replacement (TAVR). We used a novel robotic transcranial Doppler (TCD) system equipped with artificial intelligence (AI) for real-time continuous intraoperative neuromonitoring during TAVR to establish the safety and potential validity of this tool in detecting cerebral emboli, report the quantity and distribution of high intensity transient signals (HITS) with and without cerebral protection, and correlate HITS occurrence with various procedural steps.
Methods: Consecutive patients undergoing TAVR procedures during which the robotic system was used between October 2021 and May 2022 were prospectively enrolled in this pilot study. The robotic TCD system included autonomous adjustment of the TCD probes and AI-assisted post-processing of HITS and other cerebral flow parameters. Basic demographics and procedural details were recorded. Continuous variables were analyzed by a two-sample Mann-Whitney t-test and categorical variables by a χ2 or Fisher test.
Results: Thirty-one patients were prospectively enrolled (mean age 79.9±7.6 years; 16 men (51.6%)). Mean aortic valve stenotic area was 0.7 cm2 and mean aortic-ventricular gradient was 43 mmHg (IQR 31.5-50 mmHg). Cerebral protection was used in 16 cases (51.6%). Significantly fewer emboli were observed in the protection group than in the non-protection group (mean 470.38 vs 693.33; p=0.01). Emboli counts during valve positioning and implantation were significantly different in the protection and non-protection groups (mean 249.92 and 387.5, respectively; p=0.01). One (4%) transient ischemic attack occurred post-procedurally in the non-protection group.
Conclusion: We describe a novel real-time intraoperative neuromonitoring tool used in patients undergoing TAVR. Significantly fewer HITS were detected with protection. Valve positioning-implantation was the most significant stage for intraprocedural HITS.
期刊介绍:
The Journal of NeuroInterventional Surgery (JNIS) is a leading peer review journal for scientific research and literature pertaining to the field of neurointerventional surgery. The journal launch follows growing professional interest in neurointerventional techniques for the treatment of a range of neurological and vascular problems including stroke, aneurysms, brain tumors, and spinal compression.The journal is owned by SNIS and is also the official journal of the Interventional Chapter of the Australian and New Zealand Society of Neuroradiology (ANZSNR), the Canadian Interventional Neuro Group, the Hong Kong Neurological Society (HKNS) and the Neuroradiological Society of Taiwan.