Evidence map›Paper›PMID 37296352›Full record

ArticleInternational journal of computer assisted radiology and surgery2023

Automatic patient positioning based on robot rotational workspace for extended reality.

Marek Żelechowski, Balázs Faludi, Murali Karnam, Nicolas Gerig, Georg Rauter, Philippe C Cattin

Open access · hybridAbstract read
In one paragraph

Article in International journal of computer assisted radiology and surgery, 2023. 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
0.8field-weighted citation impact, top 25% 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, 7 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 1 institution in 1 country.

Marek ŻelechowskiCenter for medical Image Analysis & Navigation (CIAN), Department of Biomedical Engineering, University of Basel, Basel, Switzerland. marek.zelechowski@unibas.ch.ORCID http://orcid.org/0000-0003-3857-3173
Balázs FaludiCenter for medical Image Analysis & Navigation (CIAN), Department of Biomedical Engineering, University of Basel, Basel, Switzerland.ORCID http://orcid.org/0009-0006-3780-8355
Murali KarnamBio-Inspired RObots for MEDicine-Laboratory (BIROMED-lab), Department of Biomedical Engineering, University of Basel, Basel, Switzerland.ORCID http://orcid.org/0000-0001-7834-723X
Nicolas GerigBio-Inspired RObots for MEDicine-Laboratory (BIROMED-lab), Department of Biomedical Engineering, University of Basel, Basel, Switzerland.ORCID http://orcid.org/0000-0002-2119-4620
Georg RauterBio-Inspired RObots for MEDicine-Laboratory (BIROMED-lab), Department of Biomedical Engineering, University of Basel, Basel, Switzerland.ORCID http://orcid.org/0000-0001-9089-8181
Philippe C CattinCenter for medical Image Analysis & Navigation (CIAN), Department of Biomedical Engineering, University of Basel, Basel, Switzerland.ORCID http://orcid.org/0000-0001-8785-2713
University of Basel · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeUnderstanding the properties and aspects of the robotic system is essential to a successful medical intervention, as different capabilities and limits characterize each. Robot positioning is a crucial step in the surgical setup that ensures proper reachability to the desired port locations and facilitates docking procedures. This very demanding task requires much experience to master, especially with multiple trocars, increasing the barrier of entry for surgeons in training.

methodsPreviously, we demonstrated an Augmented Reality-based system to visualize the rotational workspace of the robotic system and proved it helps the surgical staff to optimize patient positioning for single-port interventions. In this work, we implemented a new algorithm to allow for an automatic, real-time robotic arm positioning for multiple ports.

resultsOur system, based on the rotational workspace data of the robotic arm and the set of trocar locations, can calculate the optimal position of the robotic arm in milliseconds for the positional and in seconds for the rotational workspace in virtual and augmented reality setups.

conclusionsFollowing the previous work, we extended our system to support multiple ports to cover a broader range of surgical procedures and introduced the automatic positioning component. Our solution can decrease the surgical setup time and eliminate the need to repositioning the robot mid-procedure and is suitable both for the preoperative planning step using VR and in the operating room-running on an AR headset.

Indexed as

Augmented RealityPatient PositioningRobotic Surgical ProceduresAlgorithmsHumansAugmented realityComputer-assisted surgeryPatient positioning

Identifiers

PMID37296352
PMCPMC10589133
OpenAlexW4379981007

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.