Dilated Juxtacortical Perivascular Spaces and Venous Cerebral Microbleeds in Cerebral Amyloid Angiopathy‐Related Inflammation
Bibliographic record
Abstract
C erebral amyloid angiopathy-related inflammation (CAA-ri) is a rare subtype of CAA.It is characterized by amyloid β (Aβ) depositions within walls of leptomeningeal and cortical vessels, combined with perivascular, transmural, or intramural inflammation.1 CAA-ri showed greater disease severity than noninflammatory CAA during acute and subacute phases. 2 Therefore, early recognition and initiation of immunosuppressive treatment could improve the disease prognosis.1 Herein, we report a patient diagnosed with probable CAA-ri, emphasizing the imaging features presented with 5T magnetic resonance imaging (MRI).A 64-year-old woman developed chronic cognitive decline and headache, with subacute headache aggravation for 1 month.In 2017, she started with memory impairment of recent events and reduced social activities, which slowly progressed.She presented with a moderate episodic headache in March 2021.In May 2022, the headache became more severe and frequent, and the patient needed to stay in bed.She was admitted to our hospital in June 2022.On cognitive evaluation, her Mini-Mental State Examination (MMSE) score was 21, and her Montreal Cognitive Assessment (MoCA) score was 11.Other neurological examinations did not show evident abnormities.The apolipoprotein E gene test revealed ε4/ε4 homozygosity.Cerebrospinal fluid examination displayed normal open pressure, cell count, protein level, and glucose level.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".