Evidence map›Paper›PMID 35699156›Full record

ArticleThe international journal of medical robotics + computer assisted surgery : MRCAS2022

Needle path planning in semiautonomous and teleoperated robot-assisted epidural anaesthesia procedure: A proof of concept.

Daniel Haro-Mendoza, Fernando Pérez-Escamirosa, Diego Pineda-Martínez, Victor J Gonzalez-Villela

Abstract read
In one paragraph

Article in The international journal of medical robotics + computer assisted surgery : MRCAS, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Needle path planning in semiautonomous and teleoperated robot-assisted epidural anaesthesia procedure: A proof of concept.The international journal of medical robotics + computer assisted surgery : MRCAS · 2022
    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

4 authors.

Daniel Haro-MendozaCentro de Ingeniería Avanzada, Departamento de Mecatrónica, Facultad de Ingeniería, Universidad Nacional Autónoma de México (UNAM), Circuito Interior, Universidad Nacional Autónoma de México, Coyoacán, Ciudad de México, México.
Fernando Pérez-EscamirosaInstituto de Ciencias Aplicadas y Tecnología (ICAT), Universidad Nacional Autónoma de México (UNAM), Universidad Nacional Autónoma de México, Coyoacán, Ciudad de México, México.
Diego Pineda-MartínezDepartamento de Innovación en Material Biológico Humano, Facultad de Medicina, Universidad Nacional Autónoma de México (UNAM), Circuito Interior, Universidad Nacional Autónoma de México, Coyoacán, Ciudad de México, México.
Victor J Gonzalez-VillelaCentro de Ingeniería Avanzada, Departamento de Mecatrónica, Facultad de Ingeniería, Universidad Nacional Autónoma de México (UNAM), Circuito Interior, Universidad Nacional Autónoma de México, Coyoacán, Ciudad de México, México.ORCID https://orcid.org/0000-0002-6627-1204

Funding

Consejo Nacional de Ciencia y Tecnología 857876Dirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de México UNAM-DGAPA-PAPIIT IT102321Dirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de México UNAM-DGAPA-PAPIME PE107220
6 · The paper itself

Abstract

backgroundEpidural anaesthesia is a Percutaneous Procedure (PP) which plays a crucial role in surgical procedures, where accurate needle insertion is still challenging. The objective of this work is to present a Tuohy needle path planning, which allows an anaesthesiologist to drive semiautonomously, with the assistance of a teleoperated robot, the tip of the needle during this PP.

methodsWe capture, analysed and modelled the anaesthetist hands' motion during the execution of this procedure, by synthetising, programing and simulating a parametrised and normalised kinematic constrains dependent on an insertion variable in a virtual robot.

resultsTwo preoperative path planning models were obtained, which provide a teleoperated robot with kinematic constraints to semiautonomously drive a Tuohy needle in the epidural anaesthesia procedure.

conclusionsA semiautonomous robot can assist in the execution of this PP using the kinematic constraints obtained from the study of the movement of a specialist's hands.

Indexed as

Anesthesia, EpiduralRoboticsHumansMotionNeedlesepidural anaesthesia procedureneedle path planningpercutaneous proceduresemiautonomous robot

Identifiers

PMID35699156
PMCPMC9787351

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.