Evidence map›Paper›PMID 40244465›Full record

ReviewJournal of robotic surgery2025

A review of image guidance and localization methods for liver puncture robots.

Yongde Zhang, Jiabin Yang, Xuequan Huang, Chuang He

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of robotic surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Yongde ZhangKey Laboratory of Advanced Manufacturing and Intelligent Technology, Harbin University of Science and Technology, Harbin, 150080, China. zhangyd@hrbust.edu.cn.ORCID http://orcid.org/0000-0003-4602-1563
Jiabin YangKey Laboratory of Advanced Manufacturing and Intelligent Technology, Harbin University of Science and Technology, Harbin, 150080, China.
Xuequan HuangDepartment of Nuclear Medicine (Treatment Center of Minimally Invasive Intervention and Radioactive Particles), First Affiliated Hospital of the Army Medical University, Chongqing, China.
Chuang HeDepartment of Nuclear Medicine (Treatment Center of Minimally Invasive Intervention and Radioactive Particles), First Affiliated Hospital of the Army Medical University, Chongqing, China.

Funding

National Natural Science Foundation of China 52275015the Regional Joint Fund of the National Natural Science Foundation of China U23A20391the Science and Technology Innovation Team Project of Foshan City of China 2018IT100302
6 · The paper itself

Abstract

Liver puncture is an indispensable procedure in the diagnosis and treatment of liver diseases. However, traditional manual puncture typically relies on the extensive experience and judgment of physicians. Liver puncture robots, with their advantages of high stability, precision, and safety, can to some extent compensate for the shortcomings of traditional manual puncture. Based on the different imaging modalities, liver puncture robots are categorized into those guided by ultrasound, CT, and MRI, and the advantages and disadvantages of these three imaging guidance methods are analyzed. Spatial positioning methods play a crucial role in improving the accuracy of puncture during surgery. Therefore, the spatial positioning methods under image guidance are introduced. Finally, the current research status of image-guided liver puncture robots and positioning methods is summarized, and future research directions are discussed.

Indexed as

LiverPuncturesRobotic Surgical ProceduresSurgery, Computer-AssistedHumansLiver DiseasesMagnetic Resonance ImagingTomography, X-Ray ComputedUltrasonographyImage guidanceLiver puncture robotSpatial positioning

Identifiers

PMID40244465

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.