Evidence map›Paper›PMID 41756899›Full record

ArticlebioRxiv : the preprint server for biology2026

Finite Element Modeling of the Scaphoid Shift Maneuver: Implications for Scapholunate Ligament injuries.

Thor E Andreassen, Taylor P Trentadue, Andrew R Thoreson, Parunyu Vilai, Kai-Nan An, Sanjeev Kakar, Kristin D Zhao

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 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

7 authors.

Thor E AndreassenAssistive and Restorative Technology Laboratory, Mayo Clinic, Rochester, Minnesota, USA.ORCID 0000-0002-9787-7890
Taylor P TrentadueAssistive and Restorative Technology Laboratory, Mayo Clinic, Rochester, Minnesota, USA.ORCID 0000-0002-0390-3243
Andrew R ThoresonAssistive and Restorative Technology Laboratory, Mayo Clinic, Rochester, Minnesota, USA.ORCID 0000-0002-8449-855X
Parunyu VilaiDepartment of Orthopedic Surgery, Mayo Clinic, Rochester, Minnesota, USA.
Kai-Nan AnAssistive and Restorative Technology Laboratory, Mayo Clinic, Rochester, Minnesota, USA.ORCID 0000-0003-4105-9167
Sanjeev KakarDepartment of Orthopedic Surgery, Mayo Clinic, Rochester, Minnesota, USA.ORCID 0000-0002-2886-1510
Kristin D ZhaoAssistive and Restorative Technology Laboratory, Mayo Clinic, Rochester, Minnesota, USA.ORCID 0000-0001-7598-8197

Funding

Musculoskeletal Research Training ProgramT32AR056950 · NIAMS · MAYO CLINIC ROCHESTER · PI Jennifer J Westendorf · 2009 to 2026
$7.0M
Medical Scientist Traning Program at Mayo ClinicT32GM065841 · NIGMS · MAYO CLINIC ROCHESTER · PI KAUFMANN, SCOTT H, SCHIMMENTI, LISA A · 2003 to 2022
$5.8M
MSTP at Mayo Clinic RochesterT32GM145408 · NIGMS · MAYO CLINIC ROCHESTER · PI SCOTT H KAUFMANN, LISA A SCHIMMENTI · 2023 to 2026
$4.7M
4D CT Imaging for Improved Diagnosis and Treatment of Wrist Ligament InjuriesR01AR071338 · NIAMS · MAYO CLINIC ROCHESTER · PI ZHAO, KRISTIN DAIGLE · 2017 to 2021
$2.2M
Assessing scaphotrapeziotrapezoid arthrokinematics using 4DCTF31AR082227 · NIAMS · MAYO CLINIC ROCHESTER · PI TRENTADUE, TAYLOR PATRICIA · 2023 to 2025
$116k
NIAMS NIH HHS F31 AR082227NIAMS NIH HHS R01 AR071338NIAMS NIH HHS T32 AR056950NIGMS NIH HHS T32 GM065841NIGMS NIH HHS T32 GM145408
6 · The paper itself

Abstract

Background: Computational modeling is a tool being deployed for orthopaedic solutions but its use in the hand and wrist remains limited. This work used a model to simulate a clinically relevant provocative scaphoid shift maneuver (SSM) with different levels of scapholunate interosseous ligament (SLIL) injuries to observe the effect on different metrics. Methods: A personalized model simulated the full SSM motion cycle from ulnar deviation with extension to radial deviation with flexion informed by the participant's motion obtained from dynamic computed tomography. Models repeated the SSM under different levels of SLIL injury and reported changes in joint kinematics, contact mechanics, and ligament forces. Results: The fully injured model increased scaphoid dorsal translation, flexion, and radial deviation compared to the intact condition and caused a subluxation of the scaphoid. Radioscaphoid contact areas were approximately 200% greater in the fully injured model compared with all others and the fully injured model was the only condition where contact force decreased across the motion cycle. Ligament forces in the intact condition were on average 33.0 N and 54.2 N for the volar and dorsal SLIL, respectively. Lastly, the long radiolunate, an extrinsic stabilizer, had forces that increased following SLIL injury. Conclusions: Computational models can successfully recreate clinically observed behaviors of an SSM, including scaphoid subluxation, while providing new insights via quantification of contact mechanics and ligament forces. Contact mechanics metrics may be important for understanding the long-term progression of untreated SLIL injuries to osteoarthritis. Additionally, ligament force metrics may explain the progression of SLIL injuries from volar SLIL to dorsal SLIL and highlight the importance of repairing extrinsic stabilizers of the joint, due to increased force sharing following SLIL injury. This work provides a pathway to future studies investigating the effects of SLIL injury and repair, both acutely and chronically.

Indexed as

computational modelingfinite element modelinginjuryscaphoid shift maneuverScapholunate ligament

Identifiers

PMID41756899
PMCPMC12934663

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

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.