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Record W4250884159 · doi:10.1177/2325967117s00425

Acetabular Cartilage Delamination in Femoroacetabular Impingement: The Underdiagnosis on MRA, Risk Factors and Radiologic Factors

2017· article· en· W4250884159 on OpenAlexaff
Nicole Paquet, J.P. King, Michael Mitchell, Gordon Boyd, Mohamed Abdolell, Ivan Wong

Bibliographic record

VenueOrthopaedic Journal of Sports Medicine · 2017
Typearticle
Languageen
FieldMedicine
TopicHip disorders and treatments
Canadian institutionsDalhousie University
Fundersnot available
KeywordsMedicineFemoroacetabular impingementLogistic regressionMagnetic resonance imagingRadiologyRetrospective cohort studyPopulationFemoral headSurgeryInternal medicine

Abstract

fetched live from OpenAlex

Objectives: Cartilage delamination (CD) is reported to be a very common (31.5%-75%) pathology in patients undergoing surgery for femoroacetabular impingement (FAI). Treatment options vary depending on size and location of the CD and are very limited in patients with advanced CD. Therefore, it is necessary to diagnose CD pre-operatively to plan for surgical treatment. Magnetic resonance arthrography (MRA) is cited in the literature as the standard diagnostic tool of this pathology, but there are discrepancies in the literature as to the effectiveness of this diagnostic tool, with a variety of reported sensitivities and specificities. The objective of this study is to [1] to assess the frequency, size and location of acetabular CD in our FAI population, [2] to assess the sensitivity, specificity, negative prognostic value (NPV), and positive prognostic value (PPV) of the MRA, and [3] to determine risk factors and radiologic predictors for CD. Methods: This study is a single centre, retrospective review of 200 patients who previously underwent FAI surgery. Two trained assessors reviewed and reported on all surgical videos, clinical notes, x-rays and MRA images and reports. The presence of CD indicated on the MRA report was compared with the presence of CD reported intra-operatively. If CD was found during the operation, the size and location of the CD were measured. Multivariable logistic regression was used to check for correlations between CD and risk factors such as gender, side, age, BMI, length of symptoms before operation, as well as, radiologic factors, over-coverage of the femoral head, hip retroversion, acetabular and impingement cysts, presence and severity of osteoarthritis (OA), alpha angle, anatomy of the labrum and labral tear characteristics. Results: The patient population studied was 52.5% male and 47.5% female, with an overall mean age of 37.6 years. The average time period between the MRA and the surgical intervention was 0.88 years. 59% of men and 45.3% of women were reported to have CD at the time of surgery, for an overall 47.5% of the patient population. There was no significant difference between the mean age of patients with CD (36.8 years) and that of patients without CD (38.3 years). The mean size of the CD defects were 3.12 cm 2 with mean shape, measured from the acetabular rim x sagittal extent, 0.6cm x 4.36cm. Most of the cartilage damage was located in the antero-superior quadrant. The MRA had an extremely low sensitivity of 4.11%, with a high specificity 97.40%. The NPV and PPV were calculated to be 68.18% and 42.86%, respectively. Conclusion: CD in patients with FAI is severely under-diagnosed with MRA. There is need for better standard diagnostic criteria to detect CD on MRA. Reliable prognostic clinical and radiological factors could contribute to the improved diagnosis and surgical planning, organizing adequately the intraoperative treatment options and informing and consenting properly the patient in order the operation to meet his expectations.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.022
GPT teacher head0.282
Teacher spread0.259 · 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 source (direct Gemma or distilled Codex), 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".

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Citations0
Published2017
Admission routes1
Has abstractyes

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