Transmission electron microscopy ultrastructural characteristics of the distal middle cerebral artery in moyamoya disease
Bibliographic record
Abstract
The etiology of moyamoya disease (MMD) remains unknown. The main pathological finding is fibrocellular thickening of the intima, irregular undulation of the internal elastic lamina affecting the distal portions of the internal carotid artery and A1 and M1 segments. Our aim is to describe the histological and electron microscope ultrastructural characteristics of cortical MMD vessels (middle cerebral artery) in hemorrhagic and ischemic presentation along different Suzuki stages. From January 2022 to December 2022, we collected clinical and radiological data of 310 patients with MMD, among them we identified 52 patients that underwent superficial temporal artery-middle cerebral artery (STA-MCA) bypass. We collected arterial walls (excisional arteriotomy) of the recipient arteries specifically, M3 or M4 segments of the MCA. Observations and micrographs were captured utilizing an HT7700 transmission electron microscope. MMD patients exhibit severe internal elastic lamina (IEL) changes as compared to patients with intracranial atherosclerosis. Hemorrhagic MMD presentation showed a higher score of IEL ruptured when comparing to ischemic presentation. Endothelial cells in hemorrhagic MMD showed more significant contraction compared to those in ischemic moyamoya disease. Hemorrhagic and ischemic MMD patients showed no statistically significant differences when correlated to Suzuki stages and cerebral perfusion. MMD patients exhibit IEL changes and endothelial cells contraction extending into the distal segments of the middle cerebral artery. Hemorrhagic MMD presentation has higher IEL rupture score making these patients probably more susceptible for hemorrhage. This study provides an inside of the extension of MMD into the brain surface.
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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 | 0.000 |
| 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".