Evidence map›Paper›PMID 28168682›Full record

ArticleInternational journal of computer assisted radiology and surgery2017

A magnetic resonance image-guided breast needle intervention robot system: overview and design considerations.

Samuel Byeongjun Park, Jung-Gun Kim, Ki-Woong Lim, Chae-Hyun Yoon, Dong-Jun Kim, Han-Sung Kang, Yung-Ho Jo

Abstract readEvaluation Study
PubMed Publisher
In one paragraph

Article in International journal of computer assisted radiology and surgery, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. An integrated navigation system based on a dedicated breast support device for MRI-guided breast biopsy.International journal of computer assisted radiology and surgery · 2022
    Article
  4. Review
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.

Samuel Byeongjun ParkDepartment of Biomedical Engineering, National Cancer Center, 323 Ilsanro, Ilsandong-gu, Goyang-si, 10408, Gyeonggi-do, Republic of Korea.
Jung-Gun KimDepartment of Biomedical Engineering, National Cancer Center, 323 Ilsanro, Ilsandong-gu, Goyang-si, 10408, Gyeonggi-do, Republic of Korea.
Ki-Woong LimDepartment of Biomedical Engineering, National Cancer Center, 323 Ilsanro, Ilsandong-gu, Goyang-si, 10408, Gyeonggi-do, Republic of Korea.
Chae-Hyun YoonDepartment of Biomedical Engineering, National Cancer Center, 323 Ilsanro, Ilsandong-gu, Goyang-si, 10408, Gyeonggi-do, Republic of Korea.
Dong-Jun KimDepartment of Biomedical Engineering, National Cancer Center, 323 Ilsanro, Ilsandong-gu, Goyang-si, 10408, Gyeonggi-do, Republic of Korea.
Han-Sung KangCenter for Breast Cancer, National Cancer Center, 323 Ilsanro, Ilsandong-gu, Goyang-si, 10408, Gyeonggi-do, Republic of Korea.
Yung-Ho JoDepartment of Biomedical Engineering, National Cancer Center, 323 Ilsanro, Ilsandong-gu, Goyang-si, 10408, Gyeonggi-do, Republic of Korea. joyh@ncc.re.kr.ORCID http://orcid.org/0000-0003-0265-4481

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWe developed an image-guided intervention robot system that can be operated in a magnetic resonance (MR) imaging gantry. The system incorporates a bendable needle intervention robot for breast cancer patients that overcomes the space limitations of the MR gantry.

methodsMost breast coil designs for breast MR imaging have side openings to allow manual localization. However, for many intervention procedures, the patient must be removed from the gantry. A robotic manipulation system with integrated image guidance software was developed. Our robotic manipulator was designed to be slim, so as to fit between the patient's side and the MR gantry wall. Only non-magnetic materials were used, and an electromagnetic shield was employed for cables and circuits. The image guidance software was built using open source libraries. In situ feasibility tests were performed in a 3-T MR system. One target point in the breast phantom was chosen by the clinician for each experiment, and our robot moved the needle close to the target point.

resultsWithout image-guided feedback control, the needle end could not hit the target point (distance = 5 mm) in the first experiment. Using our robotic system, the needle hits the target lesion of the breast phantom at a distance of 2.3 mm from the same target point using image-guided feedback. The second experiment was performed using other target points, and the distance between the final needle end point and the target point was 0.8 mm.

conclusionsWe successfully developed an MR-guided needle intervention robot for breast cancer patients. Further research will allow the expansion of these interventions.

Indexed as

RoboticsBiopsy, NeedleBreast NeoplasmsEquipment DesignFemaleHumansImage-Guided BiopsyMagnetic Resonance ImagingMinimally Invasive Surgical ProceduresPhantoms, ImagingBendable needleBreast cancerMagnetic resonance imagingMedical roboticsNeedle intervention

Identifiers

What Socratic 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 Socratic graph.