Breast Tumor Diffusion Kurtosis Imaging Metrics for 124 Lesions

Encompassing magnetic resonance diffusion kurtosis imaging (DKI) parameters for 124 breast lesions from 103 patients. It includes measured values for mean diffusivity (MD) and mean kurtosis (MK) to characterize benign and malignant tumors. The data was used to assess the diagnostic sensitivity and specificity of these DKI parameters.

Use Cases

• Compare MD and MK values between benign and malignant lesions to validate diagnostic thresholds.
• Perform ROC analysis using the provided MD and MK cutoff values to evaluate classification performance.
• Analyze the correlation between lesion diameter and DKI parameters like MD and MK across tumor types.
• Investigate the relationship between patient age and DKI metrics such as mean kurtosis in breast tissue.

Strengths

• Includes data for 124 histologically characterized breast lesions from 103 patients.
• Provides specific mean and standard deviation values for key DKI parameters MD and MK.
• Reports diagnostic performance metrics including sensitivity, specificity, and AUC values for MD and MK.

Limitations

• The dataset size is limited to 124 lesions, which may constrain statistical power for subgroup analyses.
• Sample data and column structure are unavailable, limiting understanding of the raw data format.
• Geographic and demographic details of the patient cohort are not specified, which may affect generalizability.

Provenance

Source

Dryad

Collection Method

Data collected from MR DKI performed with 7 b-values and dynamic contrast-enhanced (DCE) MR imaging on patients, with lesions histologically characterized.

Freshness

2020-06-24