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Record W1986491620 · doi:10.5489/cuaj.1672

Diagnosis of testicular torsion using near infrared spectroscopy: A novel diagnostic approach

2014· article· en· W1986491620 on OpenAlexaffvenue
Babak Shadgan, Mehdi Fareghi, Lynn Stothers, Andrew Macnab, Abdol‐Mohammad Kajbafzadeh

Bibliographic record

VenueCanadian Urological Association Journal · 2014
Typearticle
Languageen
FieldMedicine
TopicBody Composition Measurement Techniques
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsTesticular torsionSpermatic Cord TorsionScrotumMedicineTesticular painSpermatic cordTorsion (gastropod)ErythemaPhysical examinationRadiologySurgery

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.680

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.023
GPT teacher head0.243
Teacher spread0.221 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations13
Published2014
Admission routes2
Has abstractyes

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