Kidney Transplant fMRI Data for Subclinical Rejection Assessment

46 patient cases from a kidney transplantation cohort underwent functional magnetic resonance imaging (fMRI) and protocol renal biopsy at 3 or 12 months post-transplantation. The dataset, published on figshare, compares imaging parameters between 17 subclinical rejection cases and 29 normal cases. It includes results from blood oxygenation level-dependent, intravoxel incoherent motion, and diffusion kurtosis imaging analyses.

Use Cases

• Identifying imaging biomarkers for subclinical rejection based on cortical axial kurtosis (Ka) and medullary axial diffusion (Da) parameters.
• Building a combined diagnostic model integrating fMRI parameters with clinical indicators to improve rejection screening.
• Comparing the diagnostic performance of different fMRI techniques (BOLD, IVIM, DKI) for assessing kidney graft injury.

Strengths

• Includes data from 46 patient cases with paired fMRI and biopsy results, providing a direct clinical correlation.
• Reports specific performance metrics for diagnostic models, including an AUC of 81.3% for the combined model.
• Analyzes multiple advanced fMRI parameters (R2*, Da, Ka, FA) across cortical and medullary regions.

Limitations

• Row count and column-level documentation are absent; field semantics must be inferred after download.
• The dataset is small (42.3 KB), indicating limited scope, which may constrain model generalizability.
• Data may reflect geographic and institutional bias inherent to the single-center cohort from Nanjing, China.

Provenance

Source

Kidney transplantation cohort of the Second Affiliated Hospital of Nanjing Medical University.

Collection Method

Clinical study where patients underwent protocol renal biopsy and fMRI at specified post-transplantation time points.

Time Range

Imaging and biopsies performed at 3 months or 12 months post-transplantation.

Freshness

Last updated 2026-05-19 07:55:21; freshness should be verified.

Geography

Likely Nanjing, China, based on the affiliated hospital.