Preliminary Application Study of Spectral Computed Tomography Volume Shuttle Scanning Technique in Moyamoya Disease
Bibliographic record
Abstract
Objective To investigate the value of spectral computed tomography(CT) volume shuttle scanning technique in assessment of vascular status and perfusion in patients with moyamoya disease. Methods Spiral CT volume shuttle scanning was performed in 4 preoperative cases and 11 postoperative cases with moyamoya disease,to obtain four dimensional computed tomography angiography(CTA) and whole brain CT perfusion images.The evaluation standards of noncontrast CT classification,internal carotid artery stage,collateral circulation classification,rich puff-like network stage,abnormal CT perfusion stage and Alberta Stroke Program Early CT Score were applied to analyze cerebral parenchyma and vascular lesions of moyamoya disease in left and right cerebral hemispheres. Results In 4 preoperative patients(8 hemispheres) with moyamoya disease,5(62.5%) of 8 hemispheres were in stageⅢof internal carotid artery stage.In this group,the collateral circulation(46.1%) mainly originated from skull base vascular network.In addition,8 hemispheres(100%) appeared abnormal on computed tomography perfusion(CTP),7 of which(87.5%) were in pre-infarction stageⅡ,and had Alberta Stroke Program Early CT Score more than 10 points at the same time.In 11 cases(22 hemispheres) who underwent superficial temporal artery to middle cerebral artery bypass,6 were performed on the left,4 were completed on the right and 1 were double,whereas the bypass patency rate was 100%.Moreover,the infarction stage of 19 hemispheres(86.4%) were abnormal,in which 40.1%(9/22) wereⅡstage and 36.4%(8/22) wereⅢstage,respectively. Conclusion Four dimensional CT angiography and whole brain CT perfusion are obtained by spectral CT volume shuttle scanning technology.The images have great values for the assessment of internal carotid artery stage,collateral circulation,graft patency and cerebral hemodynamics changes postoperatively.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| 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".