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机器人辅助羊膜腔镜下激光凝固术:导航、重新定位和凝固的改进。

Robot assisted Fetoscopic Laser Coagulation: Improvements in navigation, re-location and coagulation.

机构信息

Research Centre for Biomedical Engineering, Technical University of Catalonia, CREB-UPC, 08034 Barcelona, Spain; Simulation, Imaging and Modelling for Biomedical Systems (SIMBIOsys-UPF), Barcelona, Spain.

BCNatal Fetal Medicine Research Center (Hospital Clinic and Hospital Sant Joan de Deu), 08950 Esplugues de Llobregat, Spain.

出版信息

Artif Intell Med. 2024 Jan;147:102725. doi: 10.1016/j.artmed.2023.102725. Epub 2023 Nov 25.

Abstract

Fetoscopic Laser Coagulation (FLC) for Twin to Twin Transfusion Syndrome is a challenging intervention due to the working conditions: low quality images acquired from a 3 mm fetoscope inside a turbid liquid environment, local view of the placental surface, unstable surgical field and delicate tissue layers. FLC is based on locating, coagulating and reviewing anastomoses over the placenta's surface. The procedure demands the surgeons to generate a mental map of the placenta with the distribution of the anastomoses, maintaining, at the same time, precision in coagulation and protecting the placenta and amniotic sac from potential damages. This paper describes a teleoperated platform with a cognitive-based control that provides assistance to improve patient safety and surgery performance during fetoscope navigation, target re-location and coagulation processes. A comparative study between manual and teleoperated operation, executed in dry laboratory conditions, analyzes basic fetoscopic skills: fetoscope navigation and laser coagulation. Two exercises are proposed: first, fetoscope guidance and precise coagulation. Second, a resolved placenta (all anastomoses are indicated) to evaluate navigation, re-location and coagulation. The results are analyzed in terms of economy of movement, execution time, coagulation accuracy, amount of coagulated placental surface and risk of placenta puncture. In addition, new metrics, based on navigation and coagulation maps evaluate robotic performance. The results validate the developed platform, showing noticeable improvements in all the metrics.

摘要

胎儿镜激光凝固术(FLC)治疗双胎输血综合征是一项具有挑战性的干预措施,因为其工作条件较为复杂:在混浊的液体环境中,通过 3 毫米的胎儿镜获取低质量的图像,只能观察胎盘表面的局部情况,手术视野不稳定,组织层较脆弱。FLC 的操作基于在胎盘表面定位、凝固和检查吻合口。该过程要求外科医生在大脑中构建胎盘及其吻合口分布的图谱,同时保持凝固的精准度,并防止胎盘和羊膜囊受到潜在损伤。本文描述了一种具有认知控制的遥操作平台,可在胎儿镜导航、目标重新定位和凝固过程中提供辅助,以提高患者安全性和手术效果。在干燥实验室条件下进行的手动和遥操作操作的比较研究,分析了基本的胎儿镜技能:胎儿镜导航和激光凝固。提出了两个练习:首先是胎儿镜引导和精确凝固。其次是使用已解决的胎盘(所有吻合口都已标记)来评估导航、重新定位和凝固。根据运动经济性、执行时间、凝固精度、凝固胎盘表面的数量和胎盘穿刺的风险来分析结果。此外,基于导航和凝固图的新指标用于评估机器人的性能。结果验证了所开发的平台,在所有指标上都有显著的改进。

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