Hypertrophy of the tensor fascia lata: A pseudotumor due to lumbar radiculopathy
Bibliographic record
Abstract
BACKGROUND: Pseudotumor of the tensor fascia lata (TFL) consists of a rare, benign soft tissue mass/hypertrophy of the TFL that appears on the anterolateral aspect of the proximal thigh. Notably, this condition often mimics a malignant tumor and may be misdiagnosed as a sarcoma. CASE DESCRIPTION: A 45-year-old male presented with left hip/groin pain, swelling, and a painful mass on the anterolateral aspect of the left hip/thigh. The symptoms had started 3 months ago following an L1-S1 lumbar laminectomy/fusion. The initial diagnosis was hip disease, and the patient underwent a left MR arthrogram. When this study demonstrated a tear of the left anterosuperior acetabular labrum plus an increased alpha angle causing femoroacetabular impingement, the patient then underwent a left hip arthroscopy. However, as he continued to complain of the hip mass, he was referred to an orthopedic oncologist whose presumptive diagnosis favored a sarcoma. Nevertheless, the pelvic MRI scan and ultrasound (US) confirmed the diagnosis of hypertrophy of the left TFL (US left 33.4 mm vs. right 14.4 mm). The patient was first treated with 50 units of locally injected botulinum. As there was no symptomatic relief, the plan was to repeat the injection within the next few months. CONCLUSION: Hypertrophy of TFL may mimic a neoplasm such as a sarcoma and contributes to what appears to be a lumbar radiculopathy. However, MR and US imaging should readily identify TFL and rule out malignant lesions such as sarcomas.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".