Application of 3D-ASL in hemodynamic analysis and prognosis evaluation of vascular cognitive impairment.
Bibliographic record
Abstract
OBJECTIVE: To investigate the application of magnetic resonance 3D arterial spin labeling (3D-ASL) imaging in the hemodynamic analysis and prognostic assessment of vascular cognitive impairment (VCI). METHODS: Using a retrospective research method, 108 patients with ischemic cerebrovascular disease diagnosed in the Department of Neurology of Lianyungang Hospital of Traditional Chinese Medicine from January 2021 to April 2022 were chose as the research subjects. The Montreal cognitive assessment (MoCA) was used to evaluate cognitive function. The patients were divided into a VCI group (n=54, 28 males and 26 females) and a normal cognitive function group (NCF group, n=54, 30 males and 24 females). The 3D-ASL cerebral perfusion imaging was performed on the two groups of patients using different post label delay (PLD) (1525 ms, 2525 ms). The cerebral blood flow (CBF) values of bilateral frontal lobe, temporal lobe, temporal parietal junction, parietal lobe, and hippocampus were analyzed under different PLDs in the two groups. The two sets of MoCA scale scores were compared. The receiver operating characteristic curve (ROC) of CBF of VCI patients was drawn, and the area under curve (AUC), specificity and sensitivity under different PLDs was compared. RESULTS: There was no statistical significance between the two groups in terms of sex, average age, hypertension, diabetes, coronary heart disease, smoking history, and drinking history (P>0.05). CBF 1525 values and CBF 2525 values in the bilateral frontal lobes, temporal lobes, temporoparietal junction, parietal lobes, and hippocampus were significantly reduced in the VCI group under different PLD (all P<0.05). There was no significant difference in the CBF 1525 value and CBF 2525 value of the bilateral frontal lobe and temporal lobe in the VCI group (all P<0.05). The language, delayed memory, executive ability, attention and calculation ability, naming, abstract thinking, orientation, and total scores of the VCI group were significantly lower than those of the NCF group (all P<0.05). The ROC analysis revealed that the AUC, specificity, and sensitivity of CBF (bilateral frontal, temporal, temporoparietal junction, parietal, and hippocampus) at PLD 1525 ms were lower than those of CBF at PLD 2525 ms (P<0.05). CONCLUSION: Non-invasive 3D-ASL technology can be used to detect cerebral hemodynamics and predict prognosis in VCI patients. PLD 1525 ms was more sensitive to detect cerebral hypoperfusion. PLD 2525 ms showed a more accurate hypoperfusion range. This guides and adjusts treatment methods.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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 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".