Diagnostic DKI Parameters for Neonatal Brain Injury in HIE, 66 Cases

66 term neonates with hypoxic–ischemic encephalopathy and 25 healthy controls underwent cranial MRI with diffusion kurtosis imaging. The dataset likely contains quantitative DKI parameters from region-of-interest analysis across white and deep gray matter, used to evaluate diagnostic utility and severity stratification. Author Xueyuan Wang published the data on figshare under a CC-BY-4.0 license, with a last update timestamp of 2026-05-26.

Use Cases

• Training classifiers to diagnose neonatal HIE based on DKI parameters from deep gray matter.
• Developing severity stratification models for HIE using kurtosis indices that achieved AUC > 0.90.
• Exploring correlations between imaging biomarkers and clinical Apgar scores for early risk assessment.
• Benchmarking advanced diffusion-weighted imaging techniques against conventional neuroimaging for neonatal care.

Strengths

• Includes data from 66 clinically confirmed HIE cases and 25 age-matched healthy controls, providing a case-control structure.
• Several kurtosis indices demonstrated high diagnostic performance with an area under the ROC curve greater than 0.90.
• Analysis explored correlations with 1-minute and 5-minute Apgar scores, linking imaging data to clinical assessments.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for machine learning tasks.
• The dataset is very small at 59.3 KB, indicating limited scope, likely containing summary statistics rather than raw image data.

Provenance

Source

figshare, author Xueyuan Wang.

Collection Method

Region-of-interest-based quantitative analysis of cranial MRI combined with diffusion kurtosis imaging.

Time Range

Imaging conducted within the first 28 days of life for the neonates.

Freshness

Last updated 2026-05-26 06:02:12; freshness should be verified.