Evidence map›Paper›PMID 41899798›Full record

ArticleBioengineering (Basel, Switzerland)2026

Dynamic Force Modeling and Lateral Perturbation Analysis of Needle Insertion into Soft Tissues.

Yao Wang, Xin Xie, Yingcai Wan, Enguang Guan

Abstract read
In one paragraph

Article in Bioengineering (Basel, Switzerland), 2026. 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.

Yao WangLogistics Engineering College, Shanghai Maritime University, Shanghai 201306, China.ORCID 0000-0001-6672-9601
Xin XieLogistics Engineering College, Shanghai Maritime University, Shanghai 201306, China.
Yingcai WanSchool of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.
Enguang GuanLogistics Engineering College, Shanghai Maritime University, Shanghai 201306, China.ORCID 0000-0002-9135-5661

Funding

National Key Research and Development Program of China 2023YFB4705803National Natural Science Foundation of China 52105267National Natural Science Foundation of China 61806124
6 · The paper itself

Abstract

Interface interaction mechanics analysis is of great significance for robot-assisted insertion surgery in minimally invasive surgery and therapy. Previous work indicates that the accurate modeling of soft tissue puncture forces plays a crucial role in surgical planning, robotic needle insertion, and biomechanical simulation, which can give insights useful for physicians to guide and operate assisted robots. The objective of this study is to develop a dynamic multi-component force model that integrates cutting force, stiffness resistance, and frictional interaction to characterize needle-soft tissue interaction during puncture. A dynamic force model is proposed, and a lateral periodic disturbance mechanism is introduced into the simulation framework in order to enhance the robustness and realism of the model under micro-manipulation scenarios. The model has been validated using a series of controlled puncture experiments on porcine liver and renal tissues under varying insertion angles (15°, 30°, 45°) and speeds (0.5 mm/s, 1.5 mm/s, 2.5 mm/s). Corresponding finite element simulations were also conducted using ANSYS software. The agreement between simulation and experiment has been quantitatively evaluated by comparing force-depth and force-time curves, and the statistical significance of the impact of angle and speed on puncture forces has been assessed using ANOVA and Tukey's HSD tests. Quantitative comparison demonstrated strong consistency, with the optimal case reaching a coefficient of determination (R

Indexed as

biomechanical simulationforce modelinglateral perturbationsoft tissue puncturestatistical analysis

Identifiers

PMID41899798
PMCPMC13024575

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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.