Evidence map›Paper›PMID 42464872›Full record

ArticleJournal of orthopaedic research : official publication of the Orthopaedic Research Society2026

Bone Shape Feature Differences in Single and Recurrent Patellar Dislocations via Statistical Shape Modeling.

Mingrui Yang, John J Elias, Mei Li, Jin Ma, Ceylan Colak, Carl S Winalski, Lutul Farrow, Xiaojuan Li

Abstract read
In one paragraph

Article in Journal of orthopaedic research : official publication of the Orthopaedic Research Society, 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

8 authors.

Mingrui YangProgram of Advanced Musculoskeletal Imaging (PAMI), Cleveland Clinic, Cleveland, Ohio, USA.ORCID https://orcid.org/0000-0002-8902-6316
John J EliasDepartment of Health Sciences, Cleveland Clinic Akron General, Akron, Ohio, USA.
Mei LiProgram of Advanced Musculoskeletal Imaging (PAMI), Cleveland Clinic, Cleveland, Ohio, USA.
Jin MaProgram of Advanced Musculoskeletal Imaging (PAMI), Cleveland Clinic, Cleveland, Ohio, USA.
Ceylan ColakDepartment of Diagnostic Radiology, Mayo Clinic, Rochester, Minnesota, USA.
Carl S WinalskiProgram of Advanced Musculoskeletal Imaging (PAMI), Cleveland Clinic, Cleveland, Ohio, USA.
Lutul FarrowProgram of Advanced Musculoskeletal Imaging (PAMI), Cleveland Clinic, Cleveland, Ohio, USA.
Xiaojuan LiProgram of Advanced Musculoskeletal Imaging (PAMI), Cleveland Clinic, Cleveland, Ohio, USA.

Funding

Imaging post-traumatic osteoarthritis 10-years after ACL reconstruction: a multicenter cohort study with quantitative MRIR01AR075422 · NIAMS · CLEVELAND CLINIC LERNER COM-CWRU · PI LI, XIAOJUAN, SPINDLER, KURT PAUL · 2019 to 2023
$4.6M
Automated Arthroscopic Partial Meniscectomy Patient Outcome Prediction using Deep LearningK25AR078928 · NIAMS · CLEVELAND CLINIC LERNER COM-CWRU · PI Mingrui Yang · 2022 to 2026
$678k
Evaluating Over Constraint of the Patella following MPFL Reconstruction as a Contributing Factor to Progressive Cartilage DegradationR01AR084758 · NIAMS · CLEVELAND CLINIC LERNER COM-CWRU · PI JOHN J ELIAS, Xiaojuan Li · 2024 to 2026
$547k
Arthroscopy Association of North AmericaNIAMS NIH HHS K25 AR078928NIAMS NIH HHS K25AR078928NIAMS NIH HHS R01 AR075422NIAMS NIH HHS R01 AR084758NIAMS NIH HHS R01AR084758Office of the Assistant Secretary for Health W81XWH-20-1-0040Orthopaedic Research and Education Foundation
6 · The paper itself

Abstract

This study aims to develop MRI-based 3D statistical shape models for patellar dislocation patients and investigate bone shape features that distinguish between single and recurrent dislocation populations, as well as control and patellar dislocation populations. MRIs from 16 single dislocation patients, 17 recurrent dislocation patients, and 20 control subjects were used to build statistical shape models for femur and patella bones. Bone shape features were extracted and tested for statistical significance (p < 0.05) for distinguishing the single dislocation group from the recurrent dislocation groups, and the control group from the dislocation group. Statistically significant shape features distinguishing the three groups were identified for both bones. A shallower trochlear groove and smaller patellar ridge told the dislocation groups apart from the control group. A prolonged lateral condyle in femur and a laterally shifted ridge and hood shaped lateral facet in patella distinguished the recurrent dislocation group from the single dislocation group. The study's findings from 3D statistical shape modeling of the femur and patella reveal distinct anatomical differences across control, single dislocation, and recurrent patellar dislocation groups. This advanced understanding aids in identifying individuals at higher risk for initial or recurring patellar dislocations, enabling clinicians to tailor treatment and management strategies more effectively to prevent further dislocations and mitigate potential patellofemoral joint damage.

Indexed as

FemurPatellaPatellar DislocationAdolescentAdultFemaleHumansImaging, Three-DimensionalMagnetic Resonance ImagingMaleModels, StatisticalRecurrenceYoung Adultmagnetic resonance imagingosteoarthritispatellar dislocationpatellofemoralstatistical shape modeling

Identifiers

PMID42464872
PMCPMC13377545

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.