Evidence map›Paper›PMID 40218810›Full record

ArticleSensors (Basel, Switzerland)2025

Method of Forearm Muscles 3D Modeling Using Robotic Ultrasound Scanning.

Vladislava Kapravchuk, Albert Ishkildin, Andrey Briko, Anna Borde, Maria Kodenko, Anastasia Nasibullina, Sergey Shchukin

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
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

7 authors.

Vladislava KapravchukDepartment of Medical and Technical Information Technology, Bauman Moscow State Technical University, 105005 Moscow, Russia.ORCID 0000-0001-8585-4408
Albert IshkildinDepartment of Medical and Technical Information Technology, Bauman Moscow State Technical University, 105005 Moscow, Russia.
Andrey BrikoDepartment of Medical and Technical Information Technology, Bauman Moscow State Technical University, 105005 Moscow, Russia.
Anna BordeDepartment of Medical and Technical Information Technology, Bauman Moscow State Technical University, 105005 Moscow, Russia.ORCID 0000-0001-8359-1819
Maria KodenkoDepartment of Biomedical Technologies, Bauman Moscow State Technical University, 105005 Moscow, Russia.ORCID 0000-0002-0166-3768
Anastasia NasibullinaMoscow Center for Diagnostics and Telemedicine, 101990 Moscow, Russia.
Sergey ShchukinDepartment of Medical and Technical Information Technology, Bauman Moscow State Technical University, 105005 Moscow, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The accurate assessment of muscle morphology and function is crucial for medical diagnostics, rehabilitation, and biomechanical research. This study presents a novel methodology for constructing volumetric models of forearm muscles based on three-dimensional ultrasound imaging integrated with a robotic system to ensure precise probe positioning and controlled pressure application. The proposed ultrasound scanning approach combined with a collaborative six-degrees-of-freedom robotic manipulator enabled reproducible and high-resolution imaging of muscle structures in both relaxed and contracted states. A custom-built phantom, acoustically similar to biological tissues, was developed to validate the method. The cross-sectional area of the muscles and the coordinates of the center of mass of the sections, as well as the volume and center of gravity of each muscle, were calculated for each cross-section of the reconstructed forearm muscle models at contraction. The method's feasibility was confirmed by comparing the reconstructed volumes with anatomical data and phantom measurements. This study highlights the advantages of robotic-assisted ultrasound imaging for non-invasive muscle assessment and suggests its potential applications in neuromuscular diagnostics, prosthetics design, and rehabilitation monitoring.

Indexed as

ForearmImaging, Three-DimensionalMuscle, SkeletalRoboticsHumansPhantoms, ImagingUltrasonography3D modelsbiomechanicsforearm musclesneuromuscular interfacesthree-dimensional measurementsultrasound scanning

Identifiers

PMID40218810
PMCPMC11991125

What OpenQuestion holds

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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.