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Yu Y, Sun Q, Yan LF, Hu YC, Nan HY, Yang Y, Liu ZC, Wang W, Cui GB. Multimodal MRI for early diabetic mild cognitive impairment: study protocol of a prospective diagnostic trial. BMC Med Imaging 2016; 16:50. [PMID: 27552827 PMCID: PMC4995633 DOI: 10.1186/s12880-016-0152-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2015] [Accepted: 08/07/2016] [Indexed: 11/17/2022] Open
Abstract
Background Type 2 diabetes mellitus (T2DM) is a risk factor for dementia. Mild cognitive impairment (MCI), an intermediary state between normal cognition and dementia, often occurs during the prodromal diabetic stage, making early diagnosis and intervention of MCI very important. Latest neuroimaging techniques revealed some underlying microstructure alterations for diabetic MCI, from certain aspects. But there still lacks an integrated multimodal MRI system to detect early neuroimaging changes in diabetic MCI patients. Thus, we intended to conduct a diagnostic trial using multimodal MRI techniques to detect early diabetic MCI that is determined by the Montreal Cognitive Assessment (MoCA). Methods In this study, healthy controls, prodromal diabetes and diabetes subjects (53 subjects/group) aged 40-60 years will be recruited from the physical examination center of Tangdu Hospital. The neuroimaging and psychometric measurements will be repeated at a 0.5 year-interval for 2.5 years’ follow-up. The primary outcome measures are 1) Microstructural and functional alterations revealed with multimodal MRI scans including structure magnetic resonance imaging (sMRI), resting state functional magnetic resonance imaging (rs-fMRI), diffusion kurtosis imaging (DKI), and three-dimensional pseudo-continuous arterial spin labeling (3D-pCASL); 2) Cognition evaluation with MoCA. The second outcome measures are obesity, metabolic characteristics, lifestyle and quality of life. Discussion The study will provide evidence for the potential use of multimodal MRI techniques with psychometric evaluation in diagnosing MCI at prodromal diabetic stage so as to help decision making in early intervention and improve the prognosis of T2DM. Trial registration This study has been registered to ClinicalTrials.gov (NCT02420470) on April 2, 2015 and published on July 29, 2015.
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Affiliation(s)
- Ying Yu
- Department of Radiology, Tangdu Hospital, Fourth Military Medical University, 569 Xinsi Road, Xi'an, 710038, China
| | - Qian Sun
- Department of Radiology, Tangdu Hospital, Fourth Military Medical University, 569 Xinsi Road, Xi'an, 710038, China
| | - Lin-Feng Yan
- Department of Radiology, Tangdu Hospital, Fourth Military Medical University, 569 Xinsi Road, Xi'an, 710038, China
| | - Yu-Chuan Hu
- Department of Radiology, Tangdu Hospital, Fourth Military Medical University, 569 Xinsi Road, Xi'an, 710038, China
| | - Hai-Yan Nan
- Department of Radiology, Tangdu Hospital, Fourth Military Medical University, 569 Xinsi Road, Xi'an, 710038, China
| | - Yang Yang
- Department of Radiology, Tangdu Hospital, Fourth Military Medical University, 569 Xinsi Road, Xi'an, 710038, China
| | - Zhi-Cheng Liu
- Department of Radiology, Tangdu Hospital, Fourth Military Medical University, 569 Xinsi Road, Xi'an, 710038, China
| | - Wen Wang
- Department of Radiology, Tangdu Hospital, Fourth Military Medical University, 569 Xinsi Road, Xi'an, 710038, China.
| | - Guang-Bin Cui
- Department of Radiology, Tangdu Hospital, Fourth Military Medical University, 569 Xinsi Road, Xi'an, 710038, China.
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