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Published on: April 7, 2015
The Value of Diffusion Kurtosis Imaging in Detecting Delayed Brain Development of Premature Infants
Xin Zhao1, Chunxiang Zhang1, Bohao Zhang1
1Department of Imaging, Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Insights
Diffusion kurtosis imaging (DKI) effectively detects brain developmental disorders in premature infants by identifying lower mean kurtosis (MK) and radial kurtosis (RK) values. This advanced MRI technique aids in early diagnosis and assessment of neurodevelopmental outcomes.
Area of Science:
- Neuroimaging
- Pediatric Radiology
- Developmental Neuroscience
Background:
- Premature infants face significant risks for adverse neurodevelopmental outcomes.
- Early and accurate diagnosis of brain developmental disorders is crucial for timely intervention.
Purpose of the Study:
- To evaluate the diagnostic value of diffusion kurtosis imaging (DKI) for brain developmental disorders in premature infants.
- To compare DKI metrics with conventional diffusion tensor imaging (DTI) parameters.
Main Methods:
- A study involving 52 infants (26 preterm, 26 full-term controls) underwent routine MRI and DKI.
- Key metrics including mean kurtosis (MK), radial kurtosis (RK), fractional anisotropy (FA), and mean diffusivity (MD) were analyzed in specific brain regions.
- Statistical analyses included t-tests, chi-squared tests, Spearman's correlation, and ROC curve analysis.
Main Results:
- Premature infants showed significantly lower MK and RK values in the posterior and anterior limbs of the internal capsule (PLIC, ALIC) and parietal white matter (PWM) compared to controls.
- Lower FA values were observed in the PWM, frontal white matter (FWM), and thalamus (TH) of preterm infants.
- Receiver operating characteristic (ROC) curve analysis indicated good diagnostic performance for MK, MD, and FA in differentiating preterm infants.
Conclusions:
- Diffusion kurtosis imaging (DKI) demonstrates significant potential as an effective tool for diagnosing brain developmental disorders in premature infants.
- DKI metrics, particularly MK and RK, provide valuable insights into white matter microstructural development in preterm neonates.
- Further research can explore the integration of DKI into routine neonatal neuroimaging protocols for improved neurodevelopmental assessment.
Abstract:
Objective: Preterm infants are at high risk of the adverse neurodevelopmental outcomes. Our aim is to explore the value of diffusion kurtosis imaging (DKI) in diagnosing brain developmental disorders in premature infants. Materials and Methods: A total of 52 subjects were included in this study, including 26 premature infants as the preterm group, and 26 full-term infants as the control group. Routine MRI and DKI examinations were performed. Mean kurtosis (MK), radial kurtosis (RK), fractional anisotropy (FA), and mean diffusivity (MD) values were measured in the brain regions including posterior limbs of the internal capsule (PLIC), anterior limb of internal capsule (ALIC), parietal white matter (PWM), frontal white matter (FWM), thalamus (TH), caudate nucleus (CN), and genu of the corpus callosum (GCC). The chi-squared test, t-test, Spearman's correlation analysis, and receiver operating characteristic curve were used for data analyses. Results: In the premature infant group, the MK and RK values of PLIA, ALIC, and PWM were lower than those in the control group (p < 0.05). The FA values of PWM, FWM, and TH were also lower than those of the control group (p < 0.05). The area under curves of MK in PLIC and ALIC, MD in PWM, and FA in FWM were 0.813, 0.802, 0.842, and 0.867 (p < 0.05). In the thalamus and CN, the correlations between MK, RK values, and postmenstrual age (PMA) were higher than those between FA, MD values, and PMA. Conclusion: Diffusion kurtosis imaging can be used as an effective tool in detecting brain developmental disorders in premature infants.
