ArticleJournal of anatomy2018
The digital human forearm and hand.
Article in Journal of anatomy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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.
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.
Who cites it
9 citing papers in PubMed, 15 citations in OpenAlex.
- Development and Surface Indentation Assessment of an MRI-Based Subject-Specific Hand-Forearm Finite Element Model: A Preliminary Study.Bioengineering (Basel, Switzerland) · 2026Article
- Human-AI Cooperation in Healthcare and Rehabilitation.Delaware journal of public health · 2026Article
- Development, validation, and biomechanical evaluation of a high-fidelity finite element model of the forearm musculoskeletal system.BMC musculoskeletal disorders · 2026Article
- [Emergency reconstruction of traumatic dynamic muscle defects using functional superficial vastus lateralis chimeric perforator flap based on descending branch of lateral femoral circumflex artery].Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery · 2025Article
- Anthropomorphic tissue-mimicking phantoms for oximetry validation in multispectral optical imaging.Journal of biomedical optics · 2025Article
- A Musculoskeletal Model of the Hand and Wrist Capable of Simulating Functional Tasks.IEEE transactions on bio-medical engineering · 2023Article
- A Biorealistic Computational Model Unfolds Human-Like Compliant Properties for Control of Hand Prosthesis.IEEE open journal of engineering in medicine and biology · 2022Article
- Modelling force-length-activation relationships of wrist and finger extensor muscles.Medical & biological engineering & computing · 2020Article
- Musculoskeletal MRI at 7 T: do we need more or is it more than enough?European radiology experimental · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
How changes in anatomy affect joint biomechanics can be studied using musculoskeletal modelling, making it a valuable tool to explore joint function in healthy and pathological joints. However, gathering the anatomical, geometrical and physiological data necessary to create a model can be challenging. Very few integrated datasets exist and even less raw data is openly available to create new models. Therefore, the goal of the present study is to create an integrated digital forearm and make the raw data available via an open-access database. An un-embalmed cadaveric arm was digitized using 7T MRI and CT scans. 3D geometrical models of bones, cartilage, muscle and muscle pathways were created. After MRI and CT scanning, physiological muscle parameters (e.g. muscle volume, mass, length, pennation angle, physiological cross-sectional area, tendon length) were obtained via detailed dissection. After dissection, muscle biopsies were fixated and confocal microscopy was used to visualize and measure sarcomere lengths. This study provides an integrated anatomical dataset on which complete and accurate musculoskeletal models of the hand can be based. By creating a 3D digital human forearm, including all relevant anatomical parameters, a more realistic musculoskeletal model can be created. Furthermore, open access to the anatomical dataset makes it possible for other researchers to use these data in the development of a musculoskeletal model of the hand.
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Registered trials
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.