Adult-Onset Leukodystrophy: Review of 3 Clinicopathologic Phenotypes and a Proposed Classification
Bibliographic record
Abstract
Adult-onset leukodystrophies are clinically and pathologically heterogeneous diseases, and the overlapping morphologic features among these disorders can lead to confusion in pathologic classification. We report 3 recent autopsy cases that illustrate the clinicopathologic distinction between the 3 entities. The first, autosomal dominant leukodystrophy, is characterized clinically by early autonomic dysfunction and genetically by LMNB1 (lamin B1 gene) duplication. Recently, another clinical subtype emerged without the early autonomic dysfunction but with a similar genetic abnormality documented in 1 family. We reviewed the reported autopsy cases and show that both clinical subtypes share distinctive pathologic features. Other forms of adult-onset leukodystrophy can be classified based on the histologic evidence of the primary pathologic processes. A case of axonopathy with secondary demyelination serves as a prototype for adult-onset leukoencephalopathy/leukodystrophy with axonal spheroids; the genetic mutation of CSF1R (colony stimulating factor 1R) was recently discovered in patients with this disorder. A case of a primary demyelinating disease with no other distinctive pathologic features is designated as orthochromatic leukodystrophy. Pigmented glia can be present in both of the latter two categories and should not be used as a differentiating diagnostic feature. Based on the observations of our cases and literature review, we propose an algorithm for a practical diagnostic approach to adult-onset leukodystrophies.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.011 | 0.007 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".