Evidence map›Paper›PMID 36246494›Full record

ArticleFrontiers in robotics and AI2022

Design and validation of a medical robotic device system to control two collaborative robots for ultrasound-guided needle insertions.

Johann Berger, Michael Unger, Johannes Keller, C Martin Reich, Thomas Neumuth, Andreas Melzer

Open access · goldAbstract read
In one paragraph

Article in Frontiers in robotics and AI, 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
0.7field-weighted citation impact, top 34% 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, 12 citations in OpenAlex.

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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

6 authors at 2 institutions in 2 countries.

Johann BergerInnovation Center Computer Assisted Surgery (ICCAS), University of Leipzig, Leipzig, Germany.
Michael UngerInnovation Center Computer Assisted Surgery (ICCAS), University of Leipzig, Leipzig, Germany.
Johannes KellerInnovation Center Computer Assisted Surgery (ICCAS), University of Leipzig, Leipzig, Germany.
C Martin ReichInnovation Center Computer Assisted Surgery (ICCAS), University of Leipzig, Leipzig, Germany.
Thomas NeumuthInnovation Center Computer Assisted Surgery (ICCAS), University of Leipzig, Leipzig, Germany.
Andreas MelzerInnovation Center Computer Assisted Surgery (ICCAS), University of Leipzig, Leipzig, Germany.
Leipzig University · DEUniversity of Dundee · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The percutaneous biopsy is a critical intervention for diagnosis and staging in cancer therapy. Robotic systems can improve the efficiency and outcome of such procedures while alleviating stress for physicians and patients. However, the high complexity of operation and the limited possibilities for robotic integration in the operating room (OR) decrease user acceptance and the number of deployed robots. Collaborative systems and standardized device communication may provide approaches to overcome named problems. Derived from the IEEE 11073 SDC standard terminology of medical device systems, we designed and validated a medical robotic device system (MERODES) to access and control a collaborative setup of two KUKA robots for ultrasound-guided needle insertions. The system is based on a novel standard for service-oriented device connectivity and utilizes collaborative principles to enhance user experience. Implementing separated workflow applications allows for a flexible system setup and configuration. The system was validated in three separate test scenarios to measure accuracies for 1) co-registration, 2) needle target planning in a water bath and 3) in an abdominal phantom. The co-registration accuracy averaged 0.94 ± 0.42 mm. The positioning errors ranged from 0.86 ± 0.42 to 1.19 ± 0.70 mm in the water bath setup and from 1.69 ± 0.92 to 1.96 ± 0.86 mm in the phantom. The presented results serve as a proof-of-concept and add to the current state of the art to alleviate system deployment and fast configuration for percutaneous robotic interventions.

Indexed as

collaborative roboticsIEEE 11073 SDCimage-guided robotrobotic biopsysurgical robotics

Identifiers

PMID36246494
PMCPMC9554707
OpenAlexW4297491425

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.