Diagnosis of testicular torsion using near infrared spectroscopy: A novel diagnostic approach
Bibliographic record
Abstract
We report a case of testicular torsion in a 14-month old boy. Testicular ischemia was suspected based on history and clinical presentations. The patient was referred following 24 hours of left acute scrotum. Erythema, swelling and tenderness associated with nausea and emesis were present, but the patient was not febrile. We used a spatially resolved near-infrared spectroscopy (SR-NIRS) device to study and compare the tissue saturation index (TSI) on both right and left spermatic cords. The TSI was significantly reduced in the left side. Both testicles were surgically explored and the left testis was found non-viable with a 1080-degree intra-vaginal torsion. NIRS monitoring of spermatic cord oxygen saturation appears feasible as a non-invasive bedside optical method to identify testicular torsion.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".