Evidence map›Paper›PMID 30989504›Full record

ArticleInternational journal of computer assisted radiology and surgery2019

Design optimization of a contact-aided continuum robot for endobronchial interventions based on anatomical constraints.

Laura Ros-Freixedes, Anzhu Gao, Ning Liu, Mali Shen, Guang-Zhong Yang

Abstract read
In one paragraph

Article in International journal of computer assisted radiology and surgery, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

5 authors.

Laura Ros-FreixedesThe Hamlyn Centre for Robotic Surgery, Imperial College London, London, SW7 2AZ, UK.
Anzhu GaoThe Hamlyn Centre for Robotic Surgery, Imperial College London, London, SW7 2AZ, UK. a.gao@imperial.ac.uk.
Ning LiuThe Hamlyn Centre for Robotic Surgery, Imperial College London, London, SW7 2AZ, UK.
Mali ShenThe Hamlyn Centre for Robotic Surgery, Imperial College London, London, SW7 2AZ, UK.
Guang-Zhong YangThe Hamlyn Centre for Robotic Surgery, Imperial College London, London, SW7 2AZ, UK.

Funding

Engineering and Physical Sciences Research Council EP/N019318/1
6 · The paper itself

Abstract

purposeA laser-profiled continuum robot (CR) with a series of interlocking joints has been developed in our center to reach deeper areas of the airways. However, it deflects with constant curvature, which thus increases the difficulty of entering specific bronchi without relying on the tissue reaction forces. This paper aims to propose an optimization framework to find the best design parameters for nonconstant curvature CRs to reach distal targets while attempting to avoid the collision with the surrounding tissue.

methodsFirst, the contact-aided compliant mechanisms (CCMs) are integrated with the continuum robot to achieve the nonconstant curvature. Second, forward kinematics considering CCMs is built. Third, inverse kinematics is implemented to steer the robot tip toward the desired targets within the confined anatomy. Finally, an optimization framework is proposed to find the best robot design to reach the target with the least collision to the bronchi walls.

resultsExperiments are carried out to verify the feasibility of CCMs to enable the nonconstant curvature deflection, and simulations demonstrate a lower cost function value to reach a target for the nonconstant curvature optimized design with respect to the standard constant curvature robot (0.11 vs. 2.66). In addition, the higher capacity of the optimized design to complete the task is validated by interventional experiments using fluoroscopy.

conclusionResults demonstrate the effectiveness of the proposed framework to find an optimized CR with nonconstant curvature to perform safer interventions to reach distal targets.

Indexed as

Equipment DesignBiomechanical PhenomenaBronchoscopyHumansRobotic Surgical ProceduresCCMsConfined anatomyContinuum robotsDesign optimization

Identifiers

PMID30989504
PMCPMC6570708

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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.