innovative Mri Markers For Sporadic Cerebral Amyloid Angiopathy At 7 Tesla Mri : Striped Occipital Cortex and intragyral Hemorrhage
Bibliographic record
Abstract
BackgroundRecently, a striped pattern of the occipital cortex and intragyral hemorrhages were observed in respectively 40% and 47% of patients with symptomatic Hereditary Cerebral Hemorrhage With Amyloidosis Dutch type (HCHWA-D) at7 Tesla MRI. We investigated the prevalence of these markers and clinical characteristics of participants with these markers in sporadic Cerebral Amyloid Angiopathy (sCAA).MethodsWe performed 7 Tesla MRI in patients with probable CAA according to the Boston criteria. Striped cortex (linear hypointense stripes perpendicular to the cortex) and intragyral hemorrhages (hemorrhage restricted to the subcortical white matter of one gyrus) were scored on T2*-weighted gradient echo scans by two independent observers.ResultsWe included 34 sCAA patients (38% women, mean age 70 years). Twenty hadsuffered from a symptomatic intracerebral hemorrhage (ICH). A striping of the occipital cortex was found in 4 (12%) of sCAA patients, although in only 1 (3%) the pattern was as distinct as previously found in HCHWA-D (figure A1/2). Seven intragyral hemorrhages were found in 6 (18%) sCAA patients, of which 4 (12%) were restricted to one gyrus conform the criteria and 2 (6%) extended into the white matter beyond one gyrus (figure B1/2). The intragyral hemorrhages were located in the temporal (29%) and/or occipital (71%) lobe. Age, sex and number of symptomatic intracerebral hemorrhages did not differ between patients with or without markers. Both markers were associated with lower Montreal Cognitive Assessment scores (median score: 16 (SD 3.8) for patients with versus 26 (SD 4.3) for patients without striped occipital cortex and 21 (SD 5.8) for patients with versus 26 (SD 4.8) for patients without intragyral hemorrhage).ConclusionsStriped occipital cortex and intragyral hemorrhages are present in sCAA,although less frequent than in HCHWA-D.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".