Evidence map›Paper›PMID 29855755›Full record

ArticleAnnals of biomedical engineering2018

Toward the Design of Personalized Continuum Surgical Robots.

Tania K Morimoto, Joseph D Greer, Elliot W Hawkes, Michael H Hsieh, Allison M Okamura

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Annals of biomedical engineering, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Review
  3. On Surgical Planning of Percutaneous Nephrolithotomy with Patient-Specific CTRs.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2022
    Article
  4. Article
  5. Optic Nerve Sheath Fenestration With a Multi-Arm Continuum Robot.IEEE robotics and automation letters · 2020
    Article
  6. Article
  7. Review
  8. Towards Patient-Specific 3D-Printed Robotic Systems for Surgical Interventions.IEEE transactions on medical robotics and bionics · 2019
    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

5 authors.

Tania K MorimotoDepartment of Mechanical Engineering, Stanford University, Stanford, CA, 94035, USA. tania.morimoto@gmail.com.ORCID http://orcid.org/0000-0001-5319-8995
Joseph D GreerDepartment of Mechanical Engineering, Stanford University, Stanford, CA, 94035, USA.
Elliot W HawkesDepartment of Mechanical Engineering, Stanford University, Stanford, CA, 94035, USA.
Michael H HsiehDepartment of Urology, Children's National Health System, Washington, DC, 20010, USA.
Allison M OkamuraDepartment of Mechanical Engineering, Stanford University, Stanford, CA, 94035, USA.

Funding

Ultrasound-Guided Robotic Needle Steering for Ablation of Liver CancerR01EB018849 · NIBIB · STANFORD UNIVERSITY · PI OKAMURA, ALLISON MARIKO · 2014 to 2017
$1.4M
National Institutes of Health EB018849National Science Foundation NSFGRFPNIBIB NIH HHS R01 EB018849
6 · The paper itself

Abstract

Robot-assisted minimally invasive surgical systems enable procedures with reduced pain, recovery time, and scarring compared to traditional surgery. While these improvements benefit a large number of patients, safe access to diseased sites is not always possible for specialized patient groups, including pediatric patients, due to their anatomical differences. We propose a patient-specific design paradigm that leverages the surgeon's expertise to design and fabricate robots based on preoperative medical images. The components of the patient-specific robot design process are a virtual reality design interface enabling the surgeon to design patient-specific tools, 3-D printing of these tools with a biodegradable polyester, and an actuation and control system for deployment. The designed robot is a concentric tube robot, a type of continuum robot constructed from precurved, elastic, nesting tubes. We demonstrate the overall patient-specific design workflow, from preoperative images to physical implementation, for an example clinical scenario: nonlinear renal access to a pediatric kidney. We also measure the system's behavior as it is deployed through real and artificial tissue. System integration and successful benchtop experiments in ex vivo liver and in a phantom patient model demonstrate the feasibility of using a patient-specific design workflow to plan, fabricate, and deploy personalized, flexible continuum robots.

Indexed as

Printing, Three-DimensionalHumansPrecision MedicineRobotic Surgical Procedures3D printingContinuum robotsMinimally invasive proceduresPersonalized surgical robots

Identifiers

PMID29855755
PMCPMC6150790

What OpenQuestion holds

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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.