Magnetic Resonance Imaging Findings in Sudden Sensorineural Hearing Loss
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Bibliographic record
Abstract
OBJECTIVE: To investigate the role of magnetic resonance imaging (MRI) in the diagnosis of sudden sensorineural hearing loss (SSNHL). METHODS: Fifty-four consecutive patients affected by SSNHL were investigated using brain MRI. MRI was performed with an eight-channel phased-array head coil to study the entire audiovestibular pathway and the whole brain. The protocol study consisted of a high-resolution study of the temporal bone, internal auditory canal (IAC), cerebellopontine angle (CPA), and brainstem combining 2 mm thin-slice axial T(2)-weighted two-dimensional fast spin echo (FSE) and fluid-attenuated inversion recovery (FLAIR) sequences, pre- and postcontrast (gadolinium-diethylenetriamine pentaacetic acid) administration fat-suppressed axial T(1)-weighted two-dimensional FSE sequences, and a T(2)*-weighted three-dimensional Fourier transformation-constructive interference in steady state sequence (FT-CISS) , with 0.4 mm ultrathin partitions. The rest of the brain was studied with a 4 mm axial T(2)-weighted FLAIR sequence. RESULTS: Thirty-one of 54 (57%) cases of SSNHL presented with MRI abnormalities. In 6 of 54 cases, the detected abnormality was directly correlated to the clinical picture (2 labyrinthine hemorrhage, 1 cochlear inflammation, 1 acoustic neuroma, 1 arachnoid cyst of the CPA, and 1 case of white matter lesions in the pons, compatible with demyelinating plaques along the central audiovestibular nervous pathway, as the first expression of multiple sclerosis). CONCLUSIONS: An extensive MRI study of the audiovestibular nervous pathway and of the whole brain, pre- and postparamagnetic contrast administration, is recommended to rule out the wide spectrum of abnormalities that can cause SSNHL.
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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 | 0.000 | 0.000 |
| 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 it