Evidence map›Paper›PMID 42259987›Full record

ArticleScientific reports2026

A shared-control ultrasound-guided robotic system for liver puncture under respiratory motion.

Wenlong Zhang, Weihao Lu, Qijie Lu, Wentuo Yang, Le Xie, Yuchen Yang

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Wenlong ZhangThe school of Materials Science and Engineering, Shanghai Jiao Tong University, Shanghai, 201100, China.
Weihao LuThe school of Materials Science and Engineering, Shanghai Jiao Tong University, Shanghai, 201100, China.
Qijie LuThe Department of Ultrasound in Medicine, Shanghai Sixth People's Hospital, Shanghai Jiao Tong University School of Medicine; Shanghai Institute of Ultrasound in Medicine, Shanghai, 200233, China.
Wentuo YangThe school of Materials Science and Engineering, Shanghai Jiao Tong University, Shanghai, 201100, China.
Le XieThe school of Materials Science and Engineering, Shanghai Jiao Tong University, Shanghai, 201100, China.
Yuchen YangThe Department of General Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China. yyc12004@rjh.com.cn.

Funding

the National Key R&D Program of China 2022YFC2405503 and 2022YFC2405500the National Natural Science Foundation of China W2521022 and 62473258
6 · The paper itself

Abstract

Ultrasound (US)-guided liver puncture is widely used in diagnosis and minimally invasive intervention. However, the procedure is highly dependent on the surgeon's experience and is substantially affected by respiratory motion (RM), which can reduce imaging stability and puncture accuracy. To address these challenges, this paper presents a shared-control robotic system for US-guided liver puncture under RM. The proposed system integrates a puncture execution mechanism (PEM) that enables coordinated US probe manipulation and needle operation while preserving the surgeon's control over needle orientation and insertion. To improve procedural stability, a dual-stage pose-force assistance strategy is developed. In the first stage, pose-guided assistance is used to position the US probe and obtain a suitable imaging view. In the second stage, force-regulated interaction control is applied to maintain stable probe-skin contact during RM, while the surgeon remains responsible for the puncture action. In addition, a bionic respiratory motion device (BRMD) was developed to simulate thoracoabdominal anatomy and RM using medical-imaging-compatible anthropomorphic phantoms. In phantom experiments, the proposed shared-control system reduced the average operation time, decreased the puncture RMS error, and increased the success rate compared with manual operation. An in vivo study in a Labrador dog was further conducted as a feasibility demonstration.

Indexed as

LiverPuncturesRespirationRobotic Surgical ProceduresUltrasonography, InterventionalAnimalsDogsHumansPhantoms, ImagingRoboticsUltrasonographyBionic RM deviceLiver punctureRespiratory motionShared controlSurgical robot

Identifiers

PMID42259987
PMCPMC13490398

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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.