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European Radiology

, Volume 29, Issue 4, pp 1997–2008 | Cite as

Brain microstructural alterations in type 2 diabetes: diffusion kurtosis imaging provides added value to diffusion tensor imaging

  • Ying Xiong
  • Yi Sui
  • Shun Zhang
  • Xiaohong Joe Zhou
  • Shaolin Yang
  • Yang Fan
  • Qiang ZhangEmail author
  • Wenzhen ZhuEmail author
Neuro

Abstract

Objectives

To investigate brain microstructural changes in white matter and gray matter of type 2 diabetes mellitus (T2DM) patients using diffusion kurtosis imaging.

Methods

Diffusion kurtosis imaging (b values = 0, 1250, and 2500 s/mm2) was performed for 30 T2DM patients and 28 controls. FMRIB Software Library with tract-based spatial statistics was used to analyze intergroup differences in fractional anisotropy (FA), mean diffusivity (MD), mean kurtosis (MK), axial kurtosis (K), and radial kurtosis (K) of multiple white matter regions. Atlas-based ROI analysis was conducted in gray matter structures and some fiber tracts. Correlations between MK changes and clinical measurements were determined.

Results

In whole-brain tract-based spatial statistics analysis, T2DM patients exhibited abnormalities in 29.6%, 30.4%, 35.4%, 10.5%, and 26.0% of white matter regions as measured by FA, MD, MK, K, and K, respectively, when compared to the controls. MK reduction was contributed more by the decreased K. In atlas-based analysis, MK detected more ROIs (27/48) with white matter microstructural changes than FA (13/48) and MD (17/48). MK decreased in bilateral thalamus and caudate, while FA showed statistically significant difference only in the left caudate. MK values negatively correlated with disease duration in the genu of corpus callosum and anterior corona radiata (R = -0.512 and -0.459) and positively correlated with neuropsychological scores in the cingulum (hippocampus) (R = 0.466 and 0.440).

Conclusions

Diffusion kurtosis imaging detects more brain regions with white matter and gray matter microstructural alterations of T2DM patients than DTI metrics. It provides valuable information for studying the pathology of diabetic encephalopathy and may lead to better imaging biomarkers for monitoring disease progression.

Key Points

• Diffusion kurtosis imaging detects more brain regions with microstructural alterations in white matter and gray matter of T2DM patients than DTI.

• Mean kurtosis changes are associated with disease severity and impaired neuropsychological function in T2DM.

• Diffusion kurtosis imaging demonstrates potential to assess cognitive impairment in T2DM patients and predict disease progression.

Keywords

Type 2 diabetes mellitus Diffusion kurtosis imaging Diffusion tensor imaging White matter Gray matter 

Abbreviations

DKI

Diffusion kurtosis imaging

DTI

Diffusion tensor imaging

FA

Fractional anisotropy

FSL

Version 5.0 FMRIB Software Library

HbA1c

Glycosylated hemoglobin A1c

HC

Healthy control

MK

Mean kurtosis

MMSE

Mini-Mental State Examination

MoCA

Montreal Cognitive Assessment

ROI

Region of interest

T2DM

Type 2 diabetes mellitus

TBSS

Tract-based spatial statistics

Notes

Funding

This study has received funding by the National Natural Science Foundation of China (grant numbers 81601480, 81471230, and 81171308).

Compliance with ethical standards

Guarantor

The scientific guarantor of this publication is Wenzhen Zhu.

Conflict of interest

The authors declare that they have no conflict of interest.

Statistics and biometry

No complex statistical methods were necessary for this paper.

Informed consent

Written informed consent was obtained from all subjects in this study.

Ethical approval

Institutional Review Board approval was obtained.

Study subjects or cohorts overlap

Some study subjects or cohorts have been previously reported in part at the 101st Annual Meeting of the Radiological Society of North America, Chicago, USA, 25–30 November 2015.

Methodology

• prospective

• diagnostic or prognostic study

• performed at one institution

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Copyright information

© European Society of Radiology 2018

Authors and Affiliations

  1. 1.Department of Radiology, Tongji Hospital, Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanPeople’s Republic of China
  2. 2.Center for Magnetic Resonance ResearchUniversity of Illinois at ChicagoChicagoUSA
  3. 3.Department of BioengineeringUniversity of Illinois at ChicagoChicagoUSA
  4. 4.Department of PsychiatryUniversity of Illinois at ChicagoChicagoUSA
  5. 5.GE HealthcareBeijingPeople’s Republic of China
  6. 6.Department of Neurology, Tongji Hospital, Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanPeople’s Republic of China

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