MRI Delta-Radiomics for Predicting Tumor Response in Bladder Cancer Patients

A dataset published on figshare by Benyamin Khajetash on May 15, 2026. It is an additional file supporting research on muscle-invasive bladder cancer. The data likely contains delta-radiomics features extracted from MRI scans to predict patient response to neoadjuvant chemotherapy.

Use Cases

• Training a classifier to predict tumor response to neoadjuvant chemotherapy from MRI features (inferred from domain, verify after download)
• Developing radiomic signatures for bladder cancer prognosis (inferred from domain, verify after download)
• Validating delta-radiomics as a biomarker for treatment monitoring (inferred from domain, verify after download)

Strengths

• Published under the CC-BY-4.0 license, allowing for open reuse and sharing.
• File size is 17.1 KB, indicating a focused, manageable dataset.

Limitations

• Metadata is minimal; actual content requires verification after download.
• Row count and column definitions are unknown, which limits suitability assessment.
• Data may reflect the specific patient cohort and imaging protocols of the original study.

Provenance

Source

figshare

Freshness

Last updated 2026-05-15 03:52:17.