Robotic Tissue Sampling for Safe Post-Mortem Biopsy in Infectious Corpses.
COVID-19
Collaborative robot
forensic medicine
medical robotics
path planning
Journal
IEEE transactions on medical robotics and bionics
ISSN: 2576-3202
Titre abrégé: IEEE Trans Med Robot Bionics
Pays: United States
ID NLM: 101749706
Informations de publication
Date de publication:
Feb 2022
Feb 2022
Historique:
received:
31
08
2021
revised:
28
10
2021
revised:
07
12
2021
accepted:
18
01
2022
entrez:
18
5
2022
pubmed:
19
5
2022
medline:
19
5
2022
Statut:
epublish
Résumé
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±167s. Mean needle placement accuracy is 7.19± 422mm.
Identifiants
pubmed: 35582701
doi: 10.1109/TMRB.2022.3146440
pmc: PMC8956373
doi:
Types de publication
Journal Article
Langues
eng
Pagination
94-105Références
Cardiovasc Res. 2020 Aug 1;116(10):1661-1663
pubmed: 32562489
Int J Comput Assist Radiol Surg. 2018 Sep;13(9):1429-1438
pubmed: 29671199
Int J Med Robot. 2010 Mar;6(1):18-27
pubmed: 19806611
Elife. 2021 Mar 30;10:
pubmed: 33781385
Virchows Arch. 2022 Mar;480(3):519-528
pubmed: 34993593
Med Image Comput Comput Assist Interv. 2007;10(Pt 2):676-84
pubmed: 18044627
Radiology. 2019 Mar;290(3):826-832
pubmed: 30667337
Abdom Radiol (NY). 2021 Oct;46(10):5007-5016
pubmed: 34146132
Int J Med Robot. 2012 Dec;8(4):407-20
pubmed: 22508570
Int J Comput Assist Radiol Surg. 2017 Mar;12(3):399-411
pubmed: 27885540
J Forensic Sci. 2014 Mar;59(2):517-21
pubmed: 24313538
Forensic Sci Int. 2007 Mar 2;166(2-3):199-203
pubmed: 16814505
Magn Reson Imaging. 2012 Nov;30(9):1323-41
pubmed: 22770690
Eur Radiol. 2020 Feb;30(2):927-933
pubmed: 31444597
Minim Invasive Ther Allied Technol. 2014 Oct;23(5):271-8
pubmed: 24953817
Radiology. 2017 Nov;285(2):454-461
pubmed: 28604237
Med Image Comput Comput Assist Interv. 2011;14(Pt 1):259-66
pubmed: 22003625
Anal Bioanal Chem. 2016 Feb;408(4):1249-58
pubmed: 26677021
Sci Rep. 2021 Mar 4;11(1):5218
pubmed: 33664412
J Pathol. 2021 Jul;254(4):307-331
pubmed: 33586189
Int J Legal Med. 2022 Jan;136(1):193-202
pubmed: 34089348
Radiology. 2009 Mar;250(3):897-904
pubmed: 19244053
Med Image Comput Comput Assist Interv. 2005;8(Pt 2):49-56
pubmed: 16685942
J Vasc Interv Radiol. 2018 Oct;29(10):1440-1446
pubmed: 29628297
Forensic Sci Med Pathol. 2016 Sep;12(3):336-42
pubmed: 27421263