Evidence map›Paper›PMID 37295340›Full record

ArticleClinical biomechanics (Bristol, Avon)2023

Assessing carpal kinematics following scapholunate interosseous ligament injury ex vivo using four-dimensional dynamic computed tomography.

Taylor P Trentadue, Cesar Lopez, Ryan E Breighner, Mohsen Akbari-Shandiz, Kai-Nan An, Shuai Leng, David R Holmes, Steven L Moran, Sanjeev Kakar, Jay Smith and 2 more

Abstract read
In one paragraph

Article in Clinical biomechanics (Bristol, Avon), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Trial
  2. Rapid personalized computational modeling of the wrist.Medical engineering & physics · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Morphology of the scaphotrapeziotrapezoid joint: A multi-domain statistical shape modeling approach.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2024
    Article
  10. Article
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

12 authors.

Taylor P TrentadueAssistive and Restorative Technology Laboratory, Rehabilitation Medicine Research Center, Department of Physical Medicine and Rehabilitation, Mayo Clinic, Rochester, MN, United States of America; Mayo Clinic Medical Scientist Training Program, Mayo Clinic, Rochester, MN, United States of America; Biomedical Engineering and Physiology Graduate Program, Mayo Clinic Graduate School of Biomedical Sciences, Mayo Clinic, Rochester, MN, United States of America. Electronic address: trentadue.taylor@mayo.edu.
Cesar LopezAssistive and Restorative Technology Laboratory, Rehabilitation Medicine Research Center, Department of Physical Medicine and Rehabilitation, Mayo Clinic, Rochester, MN, United States of America. Electronic address: lopez.cesar@mayo.edu.
Ryan E BreighnerDepartment of Radiology and Imaging, Hospital for Special Surgery, New York, NY, United States of America. Electronic address: breighnerr@hss.edu.
Mohsen Akbari-ShandizAssistive and Restorative Technology Laboratory, Rehabilitation Medicine Research Center, Department of Physical Medicine and Rehabilitation, Mayo Clinic, Rochester, MN, United States of America.
Kai-Nan AnAssistive and Restorative Technology Laboratory, Rehabilitation Medicine Research Center, Department of Physical Medicine and Rehabilitation, Mayo Clinic, Rochester, MN, United States of America. Electronic address: an.kainan@mayo.edu.
Shuai LengDepartment of Radiology, Mayo Clinic, Rochester, MN, United States of America; Department of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN, United States of America. Electronic address: leng.shuai@mayo.edu.
David R HolmesDepartment of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN, United States of America; Biomedical Imaging Resource, Mayo Clinic College of Medicine, Mayo Clinic, Rochester, MN, United States of America. Electronic address: holmes.david3@mayo.edu.
Steven L MoranDepartment of Orthopedic Surgery, Division of Hand Surgery, Mayo Clinic, Rochester, MN, United States of America. Electronic address: moran.steven@mayo.edu.
Sanjeev KakarDepartment of Orthopedic Surgery, Division of Hand Surgery, Mayo Clinic, Rochester, MN, United States of America; Department of Clinical Anatomy, Mayo Clinic, Rochester, MN, United States of America. Electronic address: kakar.sanjeev@mayo.edu.
Jay SmithDepartment of Radiology, Mayo Clinic, Rochester, MN, United States of America; Department of Physical Medicine and Rehabilitation, Mayo Clinic, Rochester, MN, United States of America. Electronic address: jsmith@sonexhealth.com.
Andrew ThoresonAssistive and Restorative Technology Laboratory, Rehabilitation Medicine Research Center, Department of Physical Medicine and Rehabilitation, Mayo Clinic, Rochester, MN, United States of America. Electronic address: thoreson.andrew@mayo.edu.
Kristin D ZhaoAssistive and Restorative Technology Laboratory, Rehabilitation Medicine Research Center, Department of Physical Medicine and Rehabilitation, Mayo Clinic, Rochester, MN, United States of America; Department of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN, United States of America; Department of Physical Medicine and Rehabilitation, Mayo Clinic, Rochester, MN, United States of America. Electronic address: zhao.kristin@mayo.edu.

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
NIAMS NIH HHS R01 AR071338NIAMS NIH HHS T32 AR056950NIGMS NIH HHS T32 GM065841NIGMS NIH HHS T32 GM145408
6 · The paper itself

Abstract

backgroundScapholunate interosseous ligament injuries are prevalent and often challenging to diagnose radiographically. Four-dimensional CT allows visualization of carpal bones during motion. We present a cadaveric model of sequential ligamentous sectionings ("injuries") to quantify their effects on interosseous proximities at the radioscaphoid joint and scapholunate interval. We hypothesized that injury, wrist position, and their interaction affect carpal arthrokinematics.

methodsEight cadaveric wrists were moved through flexion-extension and radioulnar deviation after injuries. Dynamic CT images of each motion were acquired in each injury condition using a second-generation dual-source CT scanner. Carpal osteokinematics were used to calculate arthrokinematic interosseous proximity distributions during motion. Median interosseous proximities were normalized and categorized by wrist position. Linear mixed-effects models and marginal means tests were used to compare distributions of median interosseous proximities.

findingsThe effect of wrist position was significant for both flexion-extension and radioulnar deviation at the radioscaphoid joint; the effect of injury was significant for flexion-extension at the scapholunate interval; and the effect of their interaction was significant for radioulnar deviation at the scapholunate interval. Across wrist positions, radioscaphoid median interosseous proximities were less able to distinguish injury conditions versus scapholunate proximities. Median interosseous proximities at the scapholunate interval are majoritively able to detect differences between less (Geissler I-III) versus more (Geissler IV) severe injuries when the wrist is flexed, extended, and ulnarly-deviated.

interpretationDynamic CT enhances our understanding of carpal arthrokinematics in a cadaveric model of SLIL injury. Scapholunate median interosseous proximities in flexion, extension, and ulnar deviation best demonstrate ligamentous integrity.

Indexed as

Carpal BonesScaphoid BoneBiomechanical PhenomenaCadaverFour-Dimensional Computed TomographyHumansLigaments, ArticularWrist JointArthrokinematicsFour-dimensional computed tomography (4DCT)RadioscaphoidScapholunateScapholunate interosseous ligament (SLIL) injuriesWrist biomechanics

Identifiers

PMID37295340
PMCPMC10619963

What OpenQuestion holds

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Registered trials

None linked

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.