The Relationship between the Cognitive Impairment of the Elderly Hypertensive with the ADC Values of the MR-DWI
Bibliographic record
Abstract
Aim: This study was designed to observe the relationship of the apparent diffusion coefficient (ADC) value in the old hypertensive with mild cognitive impairment (MCI). To investigate the reference index of the early diagnosis and assessment for MCI. Methods: A total of 40 patients were categorized in three groups:8 normal cognitive function group,22 MCI group and 10 vascular dementia group,through using Montreal Cognitive Assessment (MoCA) and Clinical Dementia Rating Assessment (CDR) to determine cognitive change. Then, the ADC values in the different brain anatomic sites of the selected patients were calculated. SPSS16.0 was used to perform the statistic analysis. Results: ① In the three groups, the MoCA scores and the CDR scores had observable difference(P0.01). ②Compared with the normal cognitive function group, the diastolic blood pressure increased significantly in the MCI group and the vascular dementia group (P0.01). But systolic blood pressure had no observable difference (P0.05). ③Compared with the normal cognitive function group and vascular dementia group, the ADC values of the left centrum ovale, the right hippocampus and the left endocorpus had significant differences in the MCI group (P0.05). ④Compared with the normal cognitive function group and the MCI group, the ADC values of the right hippocampus had significant differences (P0.016 7). Compared with the MCI group and the vascular dementia group, the left endocorpus had significant differences (P0.016 7). Conclusion: In elderly hypertensive patients, DBP was closely related to cognitive function, as well as the functional and structural changes in the left centrum ovale, the right hippocampus and the left endocorpus. And in the early time, the change in the right hippocampus was significant, but in the later time, the change in the left endocorpus was great.
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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 | 0.002 |
| 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".