Pathologic Staging of White Matter Lesions in Adult-Onset Leukoencephalopathy/Leukodystrophy With Axonal Spheroids
Bibliographic record
Abstract
The pathologic features of adult-onset leukoencephalopathy/leukodystrophy with axonal spheroids (ALAS) are variable, and this has led to different hypotheses as to whether primarily demyelination or axonopathy may underlie this disorder. Typical ALAS pathology is rarely accompanied by focal multiple sclerosis (MS)-like plaques. In ALAS pathology accompanied by focal multiple sclerosis (MS)-like plaques cases, the pathologic features cannot be distinguished from those of progressive MS with diffusely abnormal white matter. To clarify these issues, we examined neuropathologic features in 159 representative samples from 5 ALAS cases (3 men and 2 women aged 39-61 years) and in 95 representative samples from 3 chronic MS cases (1 man and 2 women aged 50-73 years). The white matter abnormalities in ALAS cases were characterized by 3 evolving stages: 1) white matter with numerous spheroids in a background of well-myelinated fibers; 2) moderate loss of myelinated fibers with sparse to moderate number of spheroids; and 3) leukodystrophy-like pattern of confluent axonal and myelin loss. The application of this staging system suggests that myelin loss in ALAS is preceded by axonopathy. In progressive MS cases, the diffusely abnormal white matter pathology could be attributed to both primary demyelination and axonopathy. Some cases with predominant axonopathy are difficult to distinguish from cases with ALAS.
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 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 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".