Optical coherence tomography in autosomal recessive spastic ataxia of Charlevoix-Saguenay
Bibliographic record
Abstract
Autosomal recessive spastic ataxia of Charlevoix-Saguenay is a rare neurodegenerative disorder caused by mutations in the SACS gene. Thickened retinal nerve fibres visible on fundoscopy have previously been described in these patients; however, thickening of the retinal nerve fibre layer as demonstrated by optical coherence tomography appears to be a more sensitive and specific feature. To test this observation, we assessed 292 individuals (191 patients with ataxia and 101 control subjects) by peripapillary time-domain optical coherence tomography. The patients included 146 with a genetic diagnosis of ataxia (17 autosomal spastic ataxia of Charlevoix-Saguenay, 59 Friedreich's ataxia, 53 spinocerebellar ataxias, 17 other genetically confirmed ataxias) and 45 with cerebellar ataxia of unknown cause. The controls included 13 asymptomatic heterozygotes for SACS mutations and 88 unaffected controls. The cases with autosomal recessive spastic ataxia of Charlevoix-Saguenay included 11 previously unpublished SACS mutations, of which seven were nonsense and four missense mutations. Most patients were visually asymptomatic and had no previous history of ophthalmic complaints and normal or near normal visual test results. None had visual symptoms directly attributable to the retinal changes. Twelve of the 17 cases (70.6%) had thickened retinal nerve fibres visible on fundoscopy. All patients with autosomal recessive spastic ataxia of Charlevoix-Saguenay had thickening of the peripapillary retinal nerve fibre layer on optical coherence tomography, whereas all the remaining cases and controls except one showed normal or reduced average peripapillary retinal nerve fibre layer thickness on optical coherence tomography. We propose a cut-off value of 119 µm in average peripapillary retinal nerve fibre layer thickness, which provides a sensitivity of 100% and specificity of 99.4% amongst patients affected with ataxia. This is the largest cohort of patients with this condition to undergo systematic evaluation by optical coherence tomography. This is a useful tool in identifying cases of autosomal recessive spastic ataxia of Charlevoix-Saguenay from other causes of ataxia. Visualization of thickened retinal fibres by direct fundoscopy is less sensitive. We therefore advocate the use of this technique in the assessment of possible cases of this condition.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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".