HearCog Trial‐ Findings from FDG‐PET
Bibliographic record
Abstract
Abstract Background The HearCog trial was designed to evaluate the impact of hearing aid intervention on patients with age‐related hearing loss and cognitive impairment. An imaging substudy, utilising 18 F‐FDG PET/CT as a functional imaging modality, was embedded to evaluate patterns of metabolic activity following early hearing aid intervention (group A) or delayed hearing aid intervention (group B). Method 28 study participants (mean age=77.4 years) underwent brain 18 F‐FDG PET/CT imaging at baseline and 12 months, with n = 14 from each group. All imaging was undertaken using the same PET/CT camera (Biograph 64 mCT, Siemens Healthineers) accredited for quantitative assessment by the Australasian Radiopharmaceutical Trials Network. The 18 F‐FDG dose was 185 MBq with a 10‐minute acquisition starting after 45 minutes uptake. For analysis of regional variation of 18 F‐FDG brain metabolism, we employed the Molecular Imaging Neurology Database Comparison software application (Syngo.via MI Neurology DB Comparison, Siemens Healthineers) where 18 F‐FDG brain scans from age‐matched (range 49‐79 years, n = 33) healthy volunteers were available for comparison. The analyses included semi‐automated anatomical co‐registration of subject images to the reference database, followed by an automated anatomical labelling of brain regions using the integrated atlas from Montreal Neurological Institute (MNI, McGill University). We compared the differences between the groups and the normal database for both timepoints, and performed parametric and non‐parametric statistical testing on differences between the study groups. Result There were no significant differences between the groups in age, gender, injected 18 F‐FDG activity, uptake time or days between imaging timepoints ( p ≥0.06). Database analysis identified 5 regions associated with increased 18 F‐FDG uptake between baseline and 12 months in the early (group A) compared to late (group B) intervention cohort. These regions include the central region (left and right), left central region, right rolandic operculum, left paracentral lobule and the left precentral gyrus. Conclusion Analysis using standardised regions from Neurology Database comparison software demonstrates relative improvements in the motor/sensorimotor areas of the brain in the early compared to late intervention group. Further analysis will be undertaken integrating MRI and PET data for improved anatomical delineation in particular for evaluation of cognitive and auditory regions of the brain.
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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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".