1472 Objectives: To find a model which could predict the progression of Mild cognitive
impairment (MCI) to Alzheimer's disease (AD). Subjects and Methods: We proposed a dual …

Predicting progression of mild cognitive impairment (MCI) to Alzheimer's disease (AD) is
clinically important. In this study, we propose a dual-model radiomic analysis with …

Background Predicting the risk of disease progression from mild cognitive impairment (MCI)
to Alzheimer's disease (AD) has important clinical significance. This study aimed to provide …

Background This study aimed to explore the potential of a combination of 18F-
fluorodeoxyglucose positron emission tomography (18 F-FDG PET) and magnetic …

Objective: This study aimed to build and validate a radiomics-integrated model with whole-
brain magnetic resonance imaging (MRI) to predict the progression of mild cognitive …

Rationale and Objectives To build a model using white-matter radiomics features on
positron-emission tomography (PET) and machine learning methods to predict progression …

The value of 18F-FDG PET for predicting conversion from mild cognitive impairment (MCI) to
Alzheimer dementia (AD) is currently under debate. We used a principal components …

413 Objectives: The value of FDG PET to predict the conversion from mild cognitive
impairment (MCI) to Alzheimer's dementia (AD) is currently under debate. Principal …

To explore the complementary relationship between MRI radiomic and plasma biomarkers
in the early diagnosis and conversion prediction of Alzheimer's disease (AD), our study aims …

Purpose To assess the extent to which multiple Alzheimer disease (AD) biomarkers improve
the ability to predict future decline in subjects with mild cognitive impairment (MCI) …