There are many active research projects accessing and applying shared ADNI data. Use the search above to find specific research focuses on the active ADNI investigations. This information is requested annually as a requirement for data access.
| Principal Investigator | |
| Principal Investigator's Name: | Fangyuan Hu |
| Institution: | The Second Military Medical University |
| Department: | Department of Health Statistics |
| Country: | |
| Proposed Analysis: | Objective: This study aimed to build a radiomics-based model with whole-brain magnetic resonance imaging (MRI) to predict the progression of mild cognitive impairment to Alzheimer’s disease (AD) and find out AD- progression-associated image features and other proper neuropsychological factors. Methods: Patients with MCI will be selected from the ADNI database and be divided into training and test group. For each patient, radiomics features will be extracted from images. Based on the data from the training group, a radiomics signature will be built using logistic regression after dimensionality reduction. Selected radiomics signatures and baseline neuropsychological scales will be used to build an integrated model using machine learning methods like support vector machines (SVM). The receiver operating characteristics (ROC) curve and data from the test group will be used to evaluate the diagnostic accuracy and reliability of the model, respectively. |
| Additional Investigators |
