Evidence map›Paper›PMID 38789217›Full record

Trial reportMedical engineering & physics2024

Detection of scapholunate interosseous ligament injury using dynamic computed tomography-derived arthrokinematics: A prospective clinical trial.

Taylor P Trentadue, Andrew R Thoreson, Cesar Lopez, Ryan E Breighner, Kai-Nan An, David R Holmes, Steven L Moran, Sanjeev Kakar, Naveen S Murthy, Shuai Leng and 1 more

Abstract readClinical Trial
In one paragraph

Trial report in Medical engineering & physics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Rapid personalized computational modeling of the wrist.Medical engineering & physics · 2026
    Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. AI-assisted six-dimensional CT imaging for joint instability assessment.Proceedings of SPIE--the International Society for Optical Engineering · 2026
    Article
  9. Article
  10. Article
  11. 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
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

11 authors.

Taylor P TrentadueAssistive and Restorative Technology Laboratory, Mayo Clinic, Rochester, Minnesota, USA; Mayo Clinic Medical Scientist Training Program, Mayo Clinic, Rochester, Minnesota, USA; Mayo Clinic Graduate Program in Biomedical Engineering and Physiology, Mayo Clinic, Rochester, Minnesota, USA.
Andrew R ThoresonAssistive and Restorative Technology Laboratory, Mayo Clinic, Rochester, Minnesota, USA.
Cesar LopezAssistive and Restorative Technology Laboratory, Mayo Clinic, Rochester, Minnesota, USA.
Ryan E BreighnerDepartment of Radiology and Imaging, Hospital for Special Surgery, New York, New York, USA.
Kai-Nan AnAssistive and Restorative Technology Laboratory, Mayo Clinic, Rochester, Minnesota, USA.
David R HolmesBiomedical Imaging Resource Core Facility, Mayo Clinic, Rochester, Minnesota, USA.
Steven L MoranDepartment of Orthopedic Surgery, Mayo Clinic, Rochester, Minnesota, USA.
Sanjeev KakarDepartment of Orthopedic Surgery, Mayo Clinic, Rochester, Minnesota, USA.
Naveen S MurthyDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
Shuai LengDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, USA; Computed Tomography Clinical Innovation Center, Mayo Clinic, Rochester, Minnesota, USA.
Kristin D ZhaoAssistive and Restorative Technology Laboratory, Mayo Clinic, Rochester, Minnesota, USA; Department of Physical Medicine and Rehabilitation, Mayo Clinic, Rochester, Minnesota, USA. 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
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

Scapholunate interosseous ligament injuries are a major cause of wrist instability and can be difficult to diagnose radiographically. To improve early diagnosis of scapholunate ligament injuries, we compared injury detection between bilateral routine clinical radiographs, static CT, and dynamic four-dimensional CT (4DCT) during wrist flexion-extension and radioulnar deviation. Participants with unilateral scapholunate ligament injuries were recruited to a prospective clinical trial investigating the diagnostic utility of 4DCT imaging for ligamentous wrist injury. Twenty-one participants underwent arthroscopic surgery to confirm scapholunate ligament injury. Arthrokinematics, defined as distributions of interosseous proximities across radioscaphoid and scapholunate articular surfaces at different positions within the motion cycle, were used as CT-derived biomarkers. Preoperative radiographs, static CT, and extrema of 4DCT were compared between uninjured and injured wrists using Wilcoxon signed rank or Kolmogorov-Smirnov tests. Median interosseous proximities at the scapholunate interval were significantly greater in the injured versus the uninjured wrists at static-neutral and maximum flexion, extension, radial deviation, and ulnar deviation. Mean cumulative distribution functions at the radioscaphoid joint were not significantly different between wrists but were significantly shifted at the scapholunate interval towards increased interosseous proximities in injured versus uninjured wrists in all positions. Median and cumulative distribution scapholunate proximities from static-neutral and 4DCT-derived extrema reflect injury status.

Indexed as

Four-Dimensional Computed TomographyAdultBiomechanical PhenomenaFemaleHumansKineticsLigamentsLigaments, ArticularLunate BoneMaleMiddle AgedProspective StudiesScaphoid BoneTomography, X-Ray ComputedWrist InjuriesWrist JointArthrokinematicsDynamic computed tomographyFour-dimensional computed tomographyScapholunateWrist biomechanics

Identifiers

PMID38789217
PMCPMC11342909

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.