Evidence map›Paper›PMID 41698990›Full record

ArticleScientific reports2026

Development of an integrated computational-experimental framework for predicting grinding force and safety in ultrasonic bone scalpels operations.

Chengbei Li, Gang Chen, Yunfeng Xu, Juxiang Huang, Chao Feng, Dongjiao Wang

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.

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

6 authors.

Chengbei LiSchool of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, 100876, China.
Gang ChenSchool of Intelligent Engineering Automation, Beijing University of Posts and Telecommunications, Beijing, 100876, China.
Yunfeng XuPediatric Orthopaedics Department, Beijing Jishuitan Hospital, Capital Medical University, Beijing, 100035, China. bjjstspine@126.com.
Juxiang HuangSchool of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, 100876, China. juxianghuang@bupt.edu.cn.ORCID http://orcid.org/0000-0003-3662-4926
Chao FengPediatric Orthopaedics Department, Beijing Jishuitan Hospital, Capital Medical University, Beijing, 100035, China.
Dongjiao WangSchool of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, 100876, China.

Funding

Beijing Key Laboratory of Work Safety Intelligent Monitoring N/ABeijing Natural Science Foundation of China L242159Beijing Natural Science Foundation of China L252117BUPT innovation and entrepreneurship support program 2025-YC-A025Guizhou Provincial Health and Wellness High-Quality Development Medical Research Joint Fund 2024GZYXKYJJXM0037Guizhou Provincial Science and Technology Major Project QianKeHe major [2025] 007
6 · The paper itself

Abstract

This study aims to develop a high-precision predictive model for grinding forces generated by ultrasonic bone scalpels during spinal surgery, to enhance safety by establishing quantitative operational boundaries. Existing predictive models often rely on simplified 2D simulations or theoretical decompositions, which may limit accuracy in capturing the complex three-dimensional kinematics and tool-bone interactions. To address this, an integrated framework combining three-dimensional explicit dynamic finite element analysis (FEA) with a Box-Behnken experimental design and response surface methodology was developed. The FEA model realistically simulates tool-bone interaction, while the RSM systematically investigates the coupling effects of bone density (480-800-1640 kg/m

Indexed as

SpineUltrasonic Surgical ProceduresBiomechanical PhenomenaBone DensityComputer SimulationFinite Element AnalysisHumansExplicit finite element analysis (FEA)Grinding force predictionResponse surface methodology (RSM)Surgical safetyUltrasonic bone scalpel

Identifiers

PMID41698990
PMCPMC13003155

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Registered trials

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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.