Morphological characteristics of the thoracolumbar fascia: relationship to chronic low back pain and back extension strength
Bibliographic record
Abstract
The purpose of this study was to investigate the relationship between different characteristics of the Thoracolumbar Fascia (TLF) (e.g., length, epimuscular fat distribution) with pain status and lumbar extension strength in a sample of participants with and without chronic low back pain (CLBP). This cross-sectional study included 27 individuals with CLBP (10 males, 17 females; mean age 41.45 ± 11.21 year) and 25 healthy controls (12 males, 13 females; mean age 36.56 ± 11.43 year). The length of the posterior (pTLF), middle (mTLF), and anterior (aTLF) TLF layers, the TLF circumference, and the distribution of epimuscular fat around the paraspinal muscles were assessed at L4 and L5 using MRI. Pain severity was collected using a visual analogue scale (VAS), and lumbar extension strength was measured using the MedX lumbar extension machine. ANCOVA testing and multiple regression models were used to assess possible differences in TLF characteristics between participants with and without CLBP, and partial correlations were used to assess the relationship between TLF characteristics and extension strength. We found no significant differences in TLF morphological characteristics between participants with and without CLBP. None of the TLF characteristics or epimuscular fat characteristics investigated were correlated with pain severity. Participants with CLBP showed no correlation between pTLF length and strength (r avg = 0.276, r max = 0.421, p > 0.05) contrary to healthy controls (r avg = 0.527, r max = 0.554, p < 0.05). The TLF circumference (r maxL4 = 0.495 r maxL5 = 0.571, p < 0.05) and fat surface of contact (r avgL4 = 0.709, r maxL4 = 0.596, p < 0.05) in CLBP participants were significantly correlated with back extension strength, contrary to healthy controls. Future studies investigating TLF characteristics at multiple spinal levels while also considering the multidirectional and multilayered implications of the TLF are needed to better clarify the role of TLF morphology in spine biomechanics.
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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 | 0.001 | 0.001 |
| 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".