Diagnostic Performance of MRI‐based Alzheimer’s Disease Resemblance Atrophy Index and Plasma‐Based Biomarkers on Alzheimer’s Disease
Bibliographic record
Abstract
Abstract Background Although positron emission tomography (PET) or cerebrospinal fluid measurements of amyloid and tau burden are available for the detection of Alzheimer’s disease pathology, such methods are invasive and not easily accessible. Recent studies show that Alzheimer’s Disease‐resemblance atrophy index (AD‐RAI), an MRI‐based machine learning‐derived biomarker, and plasma‐based biomarkers can be used as accurate biomarkers for Alzheimer’s disease pathology. We aim to evaluate the diagnostic metrics of AD‐RAI and plasma‐based biomarkers for detecting Alzheimer’s disease. Method We recruited 69 subjects from the CU‐SEEDS (The Chinese University of Hong Kong‐Screening for Early AlzhEimer’s DiseaSe) study who were stroke‐free and had different degrees of cognitive impairment: 8 cognitive unimpaired [CU], 26 with subjective cognitive decline [SCD], 21 with mild cognitive impairment [MCI] and 14 with dementia. All subjects underwent 11C‐ PIB and 18F‐T807 PET to measure pathological Aβ deposition (A+) and tau burden (T+). Subjects received structural MRI for deriving AD‐RAI. Plasma levels of Aβ40, Aβ42, total tau (t‐tau), phosphorylated tau at 181 (p‐tau181), and neurofilament light chain (NfL) were measured by Single Molecule Array (SiMoA) assays. Result Among 69 subjects (mean [SD] age, 67.7 [6.8] years; 28 men [40.6%]), 25 (36.23%) subjects were confirmed to be A+ and T+. AD‐RAI, plasma p‐tau 181, and plasma Aβ42 were associated with A+T+ after adjusting for age, gender, and education (p<0.01). AD‐RAI individually outperformed all plasma‐based biomarkers (AUC = 0.911; Sensitivity = 0.826; Specificity = 0.905). The combination of AD‐RAI, p‐tau181 and Aβ42 yielded the best diagnostic metrics for detecting A+T+ subjects (AUC = 0.957; Sensitivity = 0.870; Specificity = 0.929). Conclusion A panel of AD‐RAI, plasma p‐tau, and plasma Aβ42 might help with screening and diagnosis of Alzheimer’s disease.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".