论文标题

机器人组织采样,以进行感染尸体的安全后活检

Robotic Tissue Sampling for Safe Post-mortem Biopsy in Infectious Corpses

论文作者

Neidhardt, Maximilian, Gerlach, Stefan, Mieling, Robin, Laves, Max-Heinrich, Weiß, Thorben, Gromniak, Martin, Fitzek, Antonia, Möbius, Dustin, Kniep, Inga, Ron, Alexandra, Schädler, Julia, Heinemann, Axel, Püschel, Klaus, Ondruschka, Benjamin, Schlaefer, Alexander

论文摘要

在病理学和法律医学中,对死者感染的组织样本的组织病理学和微生物学分析是在Covid-19等大流行期间制定治疗策略的宝贵信息。但是,常规尸检具有传播疾病的风险,可能被亲戚拒绝。我们提出在CT指导下使用机器人援助的最低侵入性活检,以最大程度地降低组织采样过程中疾病传播的风险并提高准确性。提出了一种用于活检采样的灵活机器人系统,该系统应用于放置在保护性人体袋中的人类尸体上。自动计划和决策系统估计最佳插入点。投影到分段的皮肤上的热图可视化插入的距离和角度,并估计穿刺的最低成本,同时避免骨骼碰撞。此外,我们测试了有关可行性和碰撞的多个插入路径。定制末端效应器设计用于在机器人指导下插入针和提取组织样品。我们的机器人验尸后活检(RPMB)系统在COVID-19大流行期间的一项研究中评估了20个尸体和10个组织靶标,其中5个被SARS-COV-2感染。包括机器人路径计划在内的平均计划时间为(5.72+-1.67)。平均针的精度为(7.19+-4.22)mm。

In pathology and legal medicine, the histopathological and microbiological analysis of tissue samples from infected deceased is a valuable information for developing treatment strategies during a pandemic such as COVID-19. However, a conventional autopsy carries the risk of disease transmission and may be rejected by relatives. We propose minimally invasive biopsy with robot assistance under CT guidance to minimize the risk of disease transmission during tissue sampling and to improve accuracy. A flexible robotic system for biopsy sampling is presented, which is applied to human corpses placed inside protective body bags. An automatic planning and decision system estimates optimal insertion point. Heat maps projected onto the segmented skin visualize the distance and angle of insertions and estimate the minimum cost of a puncture while avoiding bone collisions. Further, we test multiple insertion paths concerning feasibility and collisions. A custom end effector is designed for inserting needles and extracting tissue samples under robotic guidance. Our robotic post-mortem biopsy (RPMB) system is evaluated in a study during the COVID-19 pandemic on 20 corpses and 10 tissue targets, 5 of them being infected with SARS-CoV-2. The mean planning time including robot path planning is (5.72+-1.67) s. Mean needle placement accuracy is (7.19+-4.22) mm.

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