Utility of Oblique Coronal Images in Elderly and Cognitively Impaired Patients
Bibliographic record
Abstract
Dear Editor, The ongoing and rapid increase in the number of elderly people in Korea has led to an increasing number of cognitive problems among this population. 1 A nationwide survey has estimated the prevalence rates of mild cognitive impairment (MCI) and dementia among Koreans aged at least 65 years to be 24.1% and 8.1%, respectively. 2 The number of dementia patients is expected to double every 20 years until 2050. 2 Alzheimer's disease (AD) is the most common cause of MCI and dementia. 1,2 Since medial temporal atrophy (MTA) occurs early and prominently in patients with AD, 3 a 5-point scoring system has been developed to rate the severity of the condition, from grade 0 (no MTA) to grade 4 (severe MTA). 4 This scoring system is applied to oblique coronal T1weighted images that are obtained parallel to the brainstem axis (Fig. Visual rating of MTA based on coronal images has been used as a reliable marker for AD since its introduction more than 20 years ago. 6 Although a visual rating system for MTA using T1-weighted axial images was developed recently, 7 it has not been used in other studies.
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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 | 0.002 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".