Extra- and Intramuscular Fat Accumulation Early after Rabbit Supraspinatus Tendon Division: Depiction with CT
Bibliographic record
Abstract
PURPOSE: To quantify the accumulation, progression, and distribution of fat separately in and around the supraspinatus muscle from the onset of tendon detachment and to validate computed tomography (CT) for quantification of fat content by using volumetry and histomorphometry as reference standards. MATERIALS AND METHODS: Institutional animal care committee approval was obtained. The supraspinatus tendon of 30 adult female rabbits (3.0 kg) was detached. Rabbits were sacrificed in groups of 10 after 4, 8, and 12 weeks. Fifteen rabbits that did not undergo surgery served as control subjects. Fat accumulations in and around the proximal, middle, and distal supraspinatus muscle were quantified, volumetrically and histologically, and were compared with extramuscular presence and intramuscular attenuation at CT. Weight, volume, histologic findings, and CT determinations of fat were compared by using one-way analysis of variance. The Pearson test was used to correlate intramuscular fat accumulation with CT observations. RESULTS: Four weeks after tendon detachment significant extra- and intramuscular fat had accumulated (both P < .05) and progressed during 12 weeks, with accumulation of extramuscular fat being three times greater than that of intramuscular fat (both P < .05). An increasing proximal-to-distal gradient existed for both extra- and intramuscular accumulation (both P < .05). CT depicted the onset, progression, and gradient of extra- and intramuscular fat accumulation (all P < .05). CT attenuation correlated strongly with histologic findings (P < .05). CONCLUSION: Fat accumulated early, along an increasing proximal-to-distal gradient, and progressed with time after supraspinatus tendon detachment. CT proved to be a valid tool for monitoring the onset, progression, and gradient separately for extra- and intramuscular fat accumulation.
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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".