Evidence map›Paper›PMID 35489007›Full record

ArticleInternational journal of computer assisted radiology and surgery2022

An integrated navigation system based on a dedicated breast support device for MRI-guided breast biopsy.

Chengwang Song, Zhiyong Yang, Shan Jiang, Zeyang Zhou, Daguang Zhang

Abstract read
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In one paragraph

Article in International journal of computer assisted radiology and surgery, 2022. 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
1.2field-weighted citation impact, top 18% 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

2 citing papers in PubMed, 10 citations in OpenAlex.

  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 at 2 institutions in 1 country.

Chengwang SongCentre for Advanced Mechanisms and Robotics, School of Mechanical Engineering, Tianjin University, 135 Yaguan Road, Jinnan District, Tianjin, 300350, China.
Zhiyong YangCentre for Advanced Mechanisms and Robotics, School of Mechanical Engineering, Tianjin University, 135 Yaguan Road, Jinnan District, Tianjin, 300350, China.
Shan JiangCentre for Advanced Mechanisms and Robotics, School of Mechanical Engineering, Tianjin University, 135 Yaguan Road, Jinnan District, Tianjin, 300350, China. shanjmri@tju.edu.cn.ORCID http://orcid.org/0000-0002-5518-5335
Zeyang ZhouCentre for Advanced Mechanisms and Robotics, School of Mechanical Engineering, Tianjin University, 135 Yaguan Road, Jinnan District, Tianjin, 300350, China.
Daguang ZhangDepartment of Radiation Oncology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, 300060, China.
Tianjin University · CNTianjin Medical University Cancer Institute and Hospital · CN

Funding

National Natural Science Foundation of China 51775368National Natural Science Foundation of China 81871457
6 · The paper itself

Abstract

purposeBreast cancer is currently the cancer type with the highest incidence in the world, and it is extremely harmful to women's health. MRI-guided breast biopsy is a common method in clinical examination of breast cancer. However, traditional breast biopsy is less accurate and takes a long time. In this study, an integrated navigation system (INS) based on a dedicated breast support device (DBSD) was proposed to assist doctors in biopsy.

methodsThe grid-shaped DBSD can reduce the displacement and deformation of the breast during the biopsy operation and is convenient for puncture. The robot system based on the DBSD is designed to assist doctors in performing puncture action. The software system has functions such as registration, path planning, and real-time tracking of biopsy needles based on the DBSD, which can assist doctors in completing the entire biopsy procedure. A series of experiments are designed to verify the feasibility and accuracy of the system.

resultsExperiments prove that the robot system has reasonable structure and meets the requirements of MR compatibility. The latency of the INS during intraoperative navigation is 0.30 ± 0.03 s. In the phantom puncture experiment, the puncture error under the navigation of the INS is 1.04 ± 0.15 mm.

conclusionThe INS proposed in this paper can be applied to assist doctors in breast biopsy in MR environment, improve the accuracy of biopsy and shorten the time of biopsy. The experimental results show that the system is feasible and accurate.

Indexed as

Breast NeoplasmsPuncturesBiopsy, NeedleFemaleHumansImage-Guided BiopsyMagnetic Resonance ImagingNeedlesPhantoms, ImagingBreast biopsyImage-guided interventionMedical roboticsMR conditionalNeedle insertionSurgical navigation

Identifiers

PMID35489007
OpenAlexW4225160879

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.