Evidence map›Paper›PMID 42832163›Full record

ArticleInternational journal of computer assisted radiology and surgery2026

Development of a support system for total hip arthroplasty: evaluation of lower limb loads using virtual and dummy human body models.

Risa Shoji, Motoki Takagi, Tomonori Baba, Akihiko Hanafusa

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Article in International journal of computer assisted radiology and surgery, 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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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Risa ShojiDepartment of Bio-Science and Engineering, Shibaura Institute of Technology, Saitama, Japan.
Motoki TakagiDepartment of Bio-Science and Engineering, Shibaura Institute of Technology, Saitama, Japan. takagim@shibaura-it.ac.jp.ORCID http://orcid.org/0009-0007-1114-2660
Tomonori BabaDepartment of Bio-Science and Engineering, Shibaura Institute of Technology, Saitama, Japan.
Akihiko HanafusaDepartment of Bio-Science and Engineering, Shibaura Institute of Technology, Saitama, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe direct anterior approach (DAA) is one of the procedures used for total hip arthroplasty (THA) and offers advantages such as faster postoperative recovery. A lower limb traction operating table has been developed to assist in intraoperative movement and retention of the lower limb. However, these movements depend on the experience of individual surgeons, and no quantitative safety index is currently available. The authors are developing a surgical support system for THA that evaluates lower limb loads to achieve safe and reliable surgery. This study aimed to establish a system using dummy and virtual human body models that can quantitatively evaluate lower limb loads during procedures.

methodsThe dummy human body model consisted of a skeletal specimen with six silicone tubes mimicking four types of muscles. Tension sensors were installed to measure tension forces. A virtual human body model with 40 muscles, along with the operating table model, was constructed using the musculoskeletal simulation software OpenSim. The movements of the operating table and the dummy human body model were measured using a 3D motion analysis system, and identical movements were applied for simulation.

resultsTraction and extension movements showed that the trend of reaction forces in the traction direction and the relative magnitudes of muscle tension forces in the dummy model were consistent with the simulation results. In addition, the simulation enabled evaluation of muscle forces not physically represented in the dummy model.

conclusionThe validity of the simulation was verified by comparing measured and simulated forces applied to both the virtual and dummy human body models. The combined use of these models enabled evaluation of loads on the sole and muscles surrounding the hip joint. This approach enables quantitative and comprehensive biomechanical evaluation of intraoperative procedures and contributes to the development of a safe surgical support system.

Indexed as

Direct anterior approach (DAA)Dummy human modelMuscle tension simulationTotal hip arthroplasty (THA)Virtual human model

Identifiers

PMID42832163

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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.