Volume 30, Issue 4 e14539
ORIGINAL ARTICLE
Open Access

Multiparametric hippocampal signatures for early diagnosis of Alzheimer's disease using 18F-FDG PET/MRI Radiomics

Zhigeng Chen

Zhigeng Chen

Department of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China

Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing, China

Key Laboratory of Neurodegenerative Diseases, Ministry of Education, Beijing, China

Search for more papers by this author
Sheng Bi

Sheng Bi

Department of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China

Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing, China

Key Laboratory of Neurodegenerative Diseases, Ministry of Education, Beijing, China

Search for more papers by this author
Yi Shan

Yi Shan

Department of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China

Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing, China

Key Laboratory of Neurodegenerative Diseases, Ministry of Education, Beijing, China

Search for more papers by this author
Bixiao Cui

Bixiao Cui

Department of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China

Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing, China

Key Laboratory of Neurodegenerative Diseases, Ministry of Education, Beijing, China

Search for more papers by this author
Hongwei Yang

Hongwei Yang

Department of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China

Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing, China

Key Laboratory of Neurodegenerative Diseases, Ministry of Education, Beijing, China

Search for more papers by this author
Zhigang Qi

Zhigang Qi

Department of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China

Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing, China

Key Laboratory of Neurodegenerative Diseases, Ministry of Education, Beijing, China

Search for more papers by this author
Zhilian Zhao

Zhilian Zhao

Department of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China

Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing, China

Key Laboratory of Neurodegenerative Diseases, Ministry of Education, Beijing, China

Search for more papers by this author
Ying Han

Ying Han

Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China

Search for more papers by this author
Shaozhen Yan

Corresponding Author

Shaozhen Yan

Department of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China

Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing, China

Key Laboratory of Neurodegenerative Diseases, Ministry of Education, Beijing, China

Correspondence

Shaozhen Yan, Department of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, 45 Changchun Street, Xicheng District, Beijing 100053, China.

Email: [email protected]

Search for more papers by this author
Jie Lu

Jie Lu

Department of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China

Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing, China

Key Laboratory of Neurodegenerative Diseases, Ministry of Education, Beijing, China

Search for more papers by this author
First published: 30 November 2023
Citations: 2

The first two authors contributed equally to the work.

Abstract

Purpose

This study aimed to explore the utility of hippocampal radiomics using multiparametric simultaneous positron emission tomography (PET)/magnetic resonance imaging (MRI) for early diagnosis of Alzheimer's disease (AD).

Methods

A total of 53 healthy control (HC) participants, 55 patients with amnestic mild cognitive impairment (aMCI), and 51 patients with AD were included in this study. All participants accepted simultaneous PET/MRI scans, including 18F-fluorodeoxyglucose (18F-FDG) PET, 3D arterial spin labeling (ASL), and high-resolution T1-weighted imaging (3D T1WI). Radiomics features were extracted from the hippocampus region on those three modal images. Logistic regression models were trained to classify AD and HC, AD and aMCI, aMCI and HC respectively. The diagnostic performance and radiomics score (Rad-Score) of logistic regression models were evaluated from 5-fold cross-validation.

Results

The hippocampal radiomics features demonstrated favorable diagnostic performance, with the multimodal classifier outperforming the single-modal classifier in the binary classification of HC, aMCI, and AD. Using the multimodal classifier, we achieved an area under the receiver operating characteristic curve (AUC) of 0.98 and accuracy of 96.7% for classifying AD from HC, and an AUC of 0.86 and accuracy of 80.6% for classifying aMCI from HC. The value of Rad-Score differed significantly between the AD and HC (p < 0.001), aMCI and HC (p < 0.001) groups. Decision curve analysis showed superior clinical benefits of multimodal classifiers compared to neuropsychological tests.

Conclusion

Multiparametric hippocampal radiomics using PET/MRI aids in the identification of early AD, and may provide a potential biomarker for clinical applications.

CONFLICT OF INTEREST STATEMENT

The authors declare no conflicts of interest.

DATA AVAILABILITY STATEMENT

The data that support the findings of this study are available from the corresponding author upon reasonable request.

The full text of this article hosted at iucr.org is unavailable due to technical difficulties.