Correlation of the degree of carotid stenosis and area of cerebral infarct in ischaemic stroke patients
Bibliographic record
Abstract
Context: To evaluate the degree of internal carotid artery stenosis in acute cerebral infarcts and to correlate it with the area of infarct. Aims: A) To calculate the area of acute cerebral infarct by manual tracing and the degree of internal carotid artery stenosis using NASCET score. B) To calculate the ASPECT score of the cerebral infarct. C) To correlate degree of internal carotid artery stenosis, the area of infarct and ASPECT score. Settings and Design: Hospital based retrospective study. Methods and Material: A retrospective study from January 2018 to January 2020 was conducted on 51 patients with acute ischemic infarct involving the internal carotid artery territory (ICA) due to stenosis of the intra or extracranial ICA. In this study we correlated the infarct area as measured by diffusion weighted magnetic resonance (DWI MRI), Alberta Stroke Program Early CT Score (ASPECTS) and degree of carotid stenosis on MR angiography and carotid doppler using North American Symptomatic Carotid Endarterectomy Trial (NASCET) score. Statistical analysis used: Mc Nemar test was used to correlate ICA stenosis by NASCET score with the area of infarct. Pearson’s correlation was used to correlate ASPECT score and infarct volume.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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 teacher head, 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".