Evidence map›Paper›PMID 30456451›Full record

ArticleInternational journal of computer assisted radiology and surgery2019

Robotically assisted long bone biopsy under MRI: cadaver study results.

Sunghwan Lim, Karun Sharma, Pan Li, Doru Petrisor, Stanley Fricke, Dan Stoianovici, Kevin Cleary

Abstract read
PubMed Publisher
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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 31% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. A novel pneumatic drill for bone biopsy under MRI imaging.International journal of computer assisted radiology and surgery · 2024
    Article
  2. CRANE: A Redundant, Multi-Degree-of-Freedom Computed Tomography Robot for Heightened Needle Dexterity within a Medical Imaging Bore.IEEE transactions on robotics : a publication of the IEEE Robotics and Automation Society · 2024
    Article
  3. Article
  4. Review
  5. In situ guidance for MRI interventions using projected feedback.International journal of computer assisted radiology and surgery · 2023
    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

7 authors at 2 institutions in 1 country.

Sunghwan LimRobotics Laboratory, Brady Urological Institute, Johns Hopkins University, Baltimore, MD, USA.
Karun SharmaSheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Health System, 111 Michigan Avenue, Washington, DC, USA.
Pan LiRobotics Laboratory, Brady Urological Institute, Johns Hopkins University, Baltimore, MD, USA.
Doru PetrisorRobotics Laboratory, Brady Urological Institute, Johns Hopkins University, Baltimore, MD, USA.
Stanley FrickeSheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Health System, 111 Michigan Avenue, Washington, DC, USA.
Dan StoianoviciRobotics Laboratory, Brady Urological Institute, Johns Hopkins University, Baltimore, MD, USA.
Kevin ClearySheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Health System, 111 Michigan Avenue, Washington, DC, USA. kcleary@childrensnational.org.ORCID http://orcid.org/0000-0001-9809-4823
Johns Hopkins University · USChildren's National · US

Funding

Pneumatic Robot for MRI-Guided Pediatrics Long Bone BiopsyR01CA172244 · NCI · CHILDREN'S RESEARCH INSTITUTE · PI CLEARY, KEVIN R., SZE, RAYMOND · 2013 to 2015
$1.6M
NIH HHS R01CA172244
6 · The paper itself

Abstract

RATIONALE AND

objectivesWe have designed and constructed an MR-safe robot made entirely of nonmetallic components with pneumatic actuators and optical encoders. The robot was developed to enable bone biopsies to be performed under magnetic resonance imaging (MRI) guidance in pediatric patients. The purpose of this study was to show the feasibility of using the robot for biopsy of the femur and tibia in a cadaver leg. Our long-term goal is to eliminate radiation exposure during bone biopsy procedures and provide more timely and accurate diagnosis for children with bone cancers and bone infections.

methodsThe MR-safe robot was mounted on the MRI table. A cadaver leg was procured from an anatomy supply house and placed on the MRI table. All required hospital precautions for infection control were taken. A total of 10 biopsy targets were sampled using MRI guidance: five from the femur and five from the tibia. A handheld, commercially available battery-powered bone drill was used to facilitate drilling through the cortex. After the study, the leg was scanned with CT to better visualize and document the bone biopsy sites. Both the MRI and CT images were used to analyze the results.

resultsAll of the targets were successfully reached with an average targeting accuracy of 1.43 mm. A workflow analysis showed the average time for the first biopsy was 41 min including robot setup time and 22 min for each additional biopsy including the time for the repeat MRI scan used to confirm accurate targeting. The robot was shown to be MRI transparent, as no image quality degradation due to the use of the robot was detected.

conclusionThe results showed the feasibility of using an MR-safe robotic system to assist the interventional radiologist in performing precision bone biopsy under MRI guidance. Future work will include developing an MR-safe drill, improving the mounting of the robot and fixation of the leg, and moving toward first in child clinical trials.

Indexed as

RoboticsBiopsyBone and BonesCadaverFeasibility StudiesHumansMagnetic Resonance ImagingTomography, X-Ray ComputedCadaverLong bone biopsyMRIMR-safeRobot

Identifiers

PMID30456451
OpenAlexW2901523159

What OpenQuestion holds

Textmetadata
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.