journal articles
INDIVIDUALIZED PREDICTION OF TRANSITION FROM SUBJECTIVE COGNITIVE DECLINE TO MILD COGNITIVE IMPAIRMENT BASED ON MULTIMODAL MRI: A 10-YEAR FOLLOW-UP STUDY
Xingyan Le, Junbang Feng, Xiaoli Yu, Yuyin Wang, Qingbiao Zhang, Yuwei Xia, Feng Shi, Chuanming Li
J Prev Alz Dis 2026;2(13)
BACKGROUND: Predicting the transition from subjective cognitive decline (SCD) to mild cognitive impairment (MCI) is critical for dementia prevention.
OBJECTIVE: Comprehensive assessment of MRI-based macro-/micro-structural and functional brain changes in SCD to develop an individualized model predicting transition to MCI.
DESIGN, SETTING, AND PARTICIPANTS: Patients with SCD were screened from the ADNI, NACC, and OASIS-3 databases. 89 patients met the inclusion criteria and underwent structural magnetic resonance imaging (sMRI) and resting-state functional MRI (rs-fMRI). Over a 10-year follow-up, 49 patients progressed to MCI, while 40 remained stable.
MEASUREMENTS: The VB-net automated brain segmentation, extracting hippocampal radiomics and whole brain subregion volume features. Brain functional features were extracted based on rs-fMRI. Cox regression was used to develop predictive models, which were independently validated with the testing set. The nomogram was constructed to estimate the probability of transition to MCI at 5-/7-/10-year. The nomogram’s accuracy was assessed using calibration curves and concordance index (C-index), and clinical utility was evaluated through decision curve analysis.
RESULTS: The model incorporating age, brain volume, functional, and radiomics features demonstrated the highest predictive performance for SCD progression in training (C-index: 0.962; 95 % CI: 0.95–0.98) and testing (C-index: 0.911; 95 % CI: 0.861–0.968) sets. A nomogram comprising 10 predictors was constructed to estimate individualized risk of progression to MCI at 5-/7-/10-year. The calibration curve showed good agreement between predicted and observed values. Decision curve analysis demonstrated the nomogram had substantial clinical value.
CONCLUSIONS: This multivariate model and nomogram could accurately predict the individual progression from SCD to MCI.
CITATION:
Xingyan Le ; Junbang Feng ; Xiaoli Yu ; Yuyin Wang ; Qingbiao Zhang ; Yuwei Xia ; Feng Shi ; Chuanming Li (2025): Individualized prediction of transition from subjective cognitive decline to mild cognitive impairment based on multimodal MRI: a 10-year follow-up study. The Journal of Prevention of Alzheimer’s Disease (JPAD). https://doi.org/10.1016/j.tjpad.2025.100462