Bilateral Simultaneous Caloric Test for Superior Semicircular Canal Evaluation
Bibliographic record
Abstract
OBJECTIVE: To verify if the superior semicircular canal (SCC) can be stimulated using the modified "bilateral simultaneous caloric test" (BSCT). STUDY DESIGN: Prospective study in a tertiary care center. METHODS: We performed a simultaneous irrigation of both ears with cold water at 24°C. Simultaneous irrigation of both ears inhibits the response of the horizontal SSC and avoids vegetative reaction. Modified BSCT was completed on 12 healthy individuals with no previous otologic history and on 12 patients with unilateral superior SCC obliteration for dehiscence syndrome using a middle fossa approach. Caloric response was recorded in 3 different positions (midline, head rotated to the right and then rotated to the left), and results were compared. RESULTS: Nystagmus was vertical and upbeating. In the healthy population, the median intensity of nystagmus was 14.42 ± 7.32, 11, and 10.5 degrees per second for the 3 head positions. In the population with one obliterated superior SCC, the median intensity of nystagmus was 7.58 ± 3.8 degrees per second when the head was in the midline position, 6.0 degrees per second when the healthy superior SCC was stimulated, and 1.5 degrees per second when the obliterated canal was stimulated. Using a nonparametric statistical test, the mean intensity difference was statistically significant between the 2 populations (p < 0.001) and statistically significant between the obliterated and nonobliterated canals (p = 0.003). CONCLUSION: This study shows that the superior SCC can be specifically stimulated in humans. Modified BSCT can stimulate the superior canal and can provide a good estimation of its stimulation intensity after the surgery.
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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 | 0.002 |
| 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) | 0.003 | 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 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".