Evidence map›Paper›PMID 35582701›Full record

ArticleIEEE transactions on medical robotics and bionics2022

Robotic Tissue Sampling for Safe Post-Mortem Biopsy in Infectious Corpses.

Maximilian Neidhardt, Stefan Gerlach, Robin Mieling, Max-Heinrich Laves, Thorben Weib, Martin Gromniak, Antonia Fitzek, Dustin Mobius, Inga Kniep, Alexandra Ron and 5 more

Open access · hybridAbstract read
In one paragraph

Article in IEEE transactions on medical robotics and bionics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.0field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. A mobile robotic approach to autonomous surface scanning in legal medicine.International journal of computer assisted radiology and surgery · 2026
    Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors at 1 institution in 1 country.

Maximilian NeidhardtInstitute of Medical Technology and Intelligent Systems, Hamburg University of Technology 21073 Hamburg Germany.ORCID https://orcid.org/0000-0002-5107-0864
Stefan GerlachInstitute of Medical Technology and Intelligent Systems, Hamburg University of Technology 21073 Hamburg Germany.ORCID https://orcid.org/0000-0002-8992-444X
Robin MielingInstitute of Medical Technology and Intelligent Systems, Hamburg University of Technology 21073 Hamburg Germany.ORCID https://orcid.org/0000-0003-0262-2519
Max-Heinrich LavesInstitute of Medical Technology and Intelligent Systems, Hamburg University of Technology 21073 Hamburg Germany.ORCID https://orcid.org/0000-0003-0156-7247
Thorben WeibInstitute of Legal Medicine, University Medical Center Hamburg-Eppendorf 20251 Hamburg Germany.
Martin GromniakInstitute of Medical Technology and Intelligent Systems, Hamburg University of Technology 21073 Hamburg Germany.
Antonia FitzekInstitute of Legal Medicine, University Medical Center Hamburg-Eppendorf 20251 Hamburg Germany.
Dustin MobiusInstitute of Legal Medicine, University Medical Center Hamburg-Eppendorf 20251 Hamburg Germany.
Inga KniepInstitute of Legal Medicine, University Medical Center Hamburg-Eppendorf 20251 Hamburg Germany.
Alexandra RonInstitute of Legal Medicine, University Medical Center Hamburg-Eppendorf 20251 Hamburg Germany.
Julia SchadlerInstitute of Legal Medicine, University Medical Center Hamburg-Eppendorf 20251 Hamburg Germany.
Axel HeinemannInstitute of Legal Medicine, University Medical Center Hamburg-Eppendorf 20251 Hamburg Germany.
Klaus PuschelInstitute of Legal Medicine, University Medical Center Hamburg-Eppendorf 20251 Hamburg Germany.
Benjamin OndruschkaInstitute of Legal Medicine, University Medical Center Hamburg-Eppendorf 20251 Hamburg Germany.
Alexander SchlaeferInstitute of Medical Technology and Intelligent Systems, Hamburg University of Technology 21073 Hamburg Germany.
Universität Hamburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Collaborative robotCOVID-19forensic medicinemedical roboticspath planning

Identifiers

PMID35582701
PMCPMC8956373
OpenAlexW4210440525

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.