Contralateral Elbow Radiographs Can Reliably Diagnose Radial Head Implant Overlengthening
Bibliographic record
Abstract
BACKGROUND: Excessive lengthening of the radius with use of a radial head implant, a common cause of capitellar wear and clinical failure, is difficult to identify on radiographs of the injured elbow. The purpose of this study was to determine if a novel measurement technique based on radiographs of the contralateral elbow could be used to accurately estimate the magnitude of overlengthening due to the radial head implant. In part I of this study, we examined the side-to-side consistency of radiographic landmarks used in the measurement technique. In part II, the technique was validated in a cadaveric model with simulated radial head implant overlengthening. METHODS: In part I of the study, a side-to-side comparison of elbow joint dimensions was performed with use of 100 radiographs from fifty patients. In part II, radial head prostheses of varying lengths (leading to 0, 2, 4, 6, and 8 mm of overlengthening) were implanted in four pairs of cadaveric specimens (eight elbows). Radiographic measurements were performed by two examiners blinded to the implant size to determine if radiographs of the contralateral elbow could be used to diagnose, and provide a valid estimate of the magnitude of, implant overlengthening. Intrarater and interrater reliability ratios, absolute measurement errors, and diagnostic accuracy were determined. RESULTS: No significant side-to-side differences (p > 0.2) in radiographic measurements were identified between paired elbows. In the cadaveric model, the measurement technique involving use of radiographs of the contralateral elbow was successful in predicting the implant size (± 1 mm) in 104 (87%) of the 120 scenarios tested. The sensitivity of the technique--i.e., the ability of the test to correctly identify overlengthening (within ± 1 mm) when it was present--was 98%, with a positive likelihood ratio of 49 and a negative likelihood ratio of 0.02. The reliability of the radiographic measurements, based on repeated measurements performed by a single blinded orthopaedic surgeon on two separate occasions or based on separate measurements performed by two different orthopaedic surgeons, was excellent (intraclass correlation coefficient > 0.95). CONCLUSIONS: A measurement technique based on radiographs of the contralateral elbow can be used to diagnose and calculate the magnitude of radial overlengthening due to the use of an incorrectly sized radial head implant.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".