Sonographic Measures of the Gluteus Medius, Gluteus Minimus, and Vastus Medialis Muscles
Bibliographic record
Abstract
STUDY DESIGN: Intrarater, repeated-measures, within-session reliability study. OBJECTIVE: To describe a standardized method and preliminary reliability estimates for sonographic measures of resting and contracted gluteus medius (GMd), gluteus minimus (GMn), and resting vastus medialis (VM) muscles. BACKGROUND: Sonography has been used to assess the morphology of a diversity of muscles in relation to a variety of musculoskeletal dysfunctions. Although the GMd, GMn, and VM muscles are associated with dysfunctions such as patellofemoral pain and osteoarthritis, there is a paucity of information regarding protocols for sonographic measurements of these muscles. METHODS: A standardized method was developed and used to gather sonographic measures of resting and contracted (sidelying hip abduction task) GMd and GMn thickness and resting VM cross-sectional area during 1 measurement session in 29 female soccer players 14 to 17 years of age. RESULTS: Intrarater reliability values for ultrasound imaging measurements of resting, contracted, and change during contraction (intraclass correlation coefficient model 3,3 [ICC3,3]) of the GMd were 0.98 (95% confidence interval [CI]: 0.97, 0.99), 0.98 (95% CI: 0.96, 0.99), and 0.84 (95% CI: 0.71, 0.92), respectively, and of the GMn were 0.98 (95% CI: 0.97, 0.99), 0.94 (95% CI: 0.88, 0.97), and 0.53 (95% CI: 0.21, 0.76), respectively. Reliability (ICC3,3) for resting VM cross-sectional area was 0.99 (95% CI: 0.99, 0.99). Standard error of measurement for GMd, GMn, and VM varied between 0.5 and 1.6 mm, 0.3 and 1.4 mm, and 0.4 cm2, respectively, and 95% minimal detectable change ranged from 0.8 to 4.5 mm for the gluteals and 0.4 to 0.5 cm2 for the VM. CONCLUSION: Reliable sonographic measurements of the lateral hip and knee musculature at rest and during contraction are feasible. Further investigation is required to establish the generalizability and reproducibility of the protocols presented in this report.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".