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DOI 10.1016/j.tjpad.2025.100462

Медицинская библиотека · The journal of prevention of Alzheimer's disease · 2026

Individualized prediction of transition from subjective cognitive decline to mild cognitive impairment based on multimodal MRI: a 10-year follow-up study.

Le Xingyan, Feng Junbang, Yu Xiaoli, Wang Yuyin, Zhang Qingbiao, Xia Yuwei, Shi Feng, Li Chuanming

СтатьяПеревод пока не подготовлен

Аннотация

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.

Для цитирования: Le Xingyan, Feng Junbang, Yu Xiaoli, Wang Yuyin, Zhang Qingbiao, Xia Yuwei, Shi Feng, Li Chuanming. 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. 2026. DOI: 10.1016/j.tjpad.2025.100462.

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