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Record W4406586500 · doi:10.1016/j.ejrad.2025.111934

Development and evaluation of a new semi-quantitative and morphometric scoring system for magnetic resonance imaging in adolescents with Osgood Schlatter Disease (The OSIS Score)

2025· article· en· W4406586500 on OpenAlexfundno aff
Lilli Sørensen, Matthew Hever, P. Wielopolski, S. Peter Magnusson, Benjamin Dean, Sinéad Holden, Michael Skovdal Rathleff, Jes Olesen, Edwin H. G. Oei

Bibliographic record

VenueEuropean Journal of Radiology · 2025
Typearticle
Languageen
FieldEngineering
TopicLower Extremity Biomechanics and Pathologies
Canadian institutionsnot available
FundersDanmarks Frie ForskningsfondArthritis SocietyGigtforeningen
KeywordsMedicineMagnetic resonance imagingScoring systemDiseaseRadiologyPathologySurgery

Abstract

fetched live from OpenAlex

BACKGROUND: Osgood Schlatter Disease (OSD) is a common injury in adolescents. A recent systematic review identified multiple tissue characteristics evaluated in imaging studies, but the studies used different imaging modalities, used varying MRI protocols and were of poor study quality, which led to conflicting findings and hamper the clinical utility of MRI scans. This study aimed to develop and evaluate the reliability of a semi-quantitative MRI scoring system for use in adolescents with OSD. MATERIALS AND METHODS: Based on a systematic review, we used an expert-led process to develop a scoring list to describe soft tissues, cartilage, bone, and morphometric characteristics in adolescents with OSD. 1.5 T MRI was performed on the most symptomatic knee in adolescents with OSD. A trained radiologist and a research trainee each assessed 10 cases twice to assess the intra- and inter-rater reliability of the scoring list. RESULTS: The final 18 item scoring list included an assessment of the patellar tendon, infrapatellar bursa, cartilage, and the tibial epiphysis, metaphysis, and tibial tuberosity, which were scored by signal intensity, degree, and signal homogeneity. Patellar height, patella morphology, patellar tendon attachment, and tendon thickness and width were quantified. Ten adolescents with OSD (13.2 ± 1.1, 30 % female) were included for reliability. Most features showed good to very good (κ and ICC > 0.6) reliability. The exceptions were intra-rater reliability for superficial bursa homogeneity (κ = 0.51) and inter-rater reliability for signal degree in the patellar tendon (κ = 0.55), tibial epiphysis (κ = 0.53) and tibial tuberosity (κ = 0.52) and patella morphology ratio (ICC: -0.16, p = 0.67. Reliability for patella height and patellar tendon width had the highest reliability (intra-rater ICC (0.75-0.98); inter-rater ICC (0.48-0.93)). CONCLUSION: This semi-quantitative scoring system for MRI allows the comprehensive and reliable assessment of features relevant for evaluating affected tissues in adolescent patients with OSD.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.646
Threshold uncertainty score0.235

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.028
GPT teacher head0.242
Teacher spread0.214 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2025
Admission routes1
Has abstractyes

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