Evidence map›Paper›PMID 28487622›Full record

ArticleApplied bionics and biomechanics2017

An Ultrasound Imaging-Guided Robotic HIFU Ablation Experimental System and Accuracy Evaluations.

Chih Yu An, Jia Hao Syu, Ching Shiow Tseng, Chih-Ju Chang

Open access · goldAbstract read
In one paragraph

Article in Applied bionics and biomechanics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-weighted citation impact, top 33% 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

6 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Review of Robot-Assisted HIFU Therapy.Sensors (Basel, Switzerland) · 2023
    Review
  3. Article
  4. Simple methods to test the accuracy of MRgFUS robotic systems.The international journal of medical robotics + computer assisted surgery : MRCAS · 2021
    Article
  5. Article
  6. 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

4 authors at 2 institutions in 1 country.

Chih Yu AnDepartment of Mechanical Engineering, National Central University, Taoyuan County 32001, Taiwan.ORCID 0000-0002-5815-7073
Jia Hao SyuGraduate Institute of Biomedical Engineering, National Central University, Taoyuan County 32001, Taiwan.
Ching Shiow TsengDepartment of Mechanical Engineering, National Central University, Taoyuan County 32001, Taiwan.ORCID 0000-0003-4255-1743
Chih-Ju ChangDepartment of Mechanical Engineering, National Central University, Taoyuan County 32001, Taiwan.
National Central University · TWFu Jen Catholic University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, noninvasive thermal treatment by using high-intensity focused ultrasound (HIFU) has high potential in tumor treatment. The goal of this research is to develop an ultrasound imaging-guided robotic HIFU ablation system for tumor treatment. The system integrates the technologies of ultrasound image-assisted guidance, robotic positioning control, and HIFU treatment planning. With the assistance of ultrasound image guidance technology, the tumor size and location can be determined from ultrasound images as well as the robotic arm can be controlled to position the HIFU transducer to focus on the target tumor. After the development of the system, several experiments were conducted to measure the positioning accuracy of this system. The results show that the average positioning error is 1.01 mm with a standard deviation 0.34, and HIFU ablation accuracy is 1.32 mm with a standard deviation 0.58, which means this system is confirmed with its possibility and accuracy.

Identifiers

PMID28487622
PMCPMC5406740
OpenAlexW2606662462

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.