MRI Delta-Radiomics for Tumor Response Prediction in Muscle-Invasive Bladder Cancer

A 17.2 KB supplementary file published on figshare by Benyamin Khajetash on May 15, 2026. The dataset likely contains delta-radiomic features extracted from MRI scans of bladder cancer patients undergoing neoadjuvant chemotherapy. Its columns may suggest quantitative imaging biomarkers intended for modeling treatment response.

Use Cases

• Training a classifier to predict tumor response to neoadjuvant chemotherapy from imaging features (inferred from domain, verify after download)
• Analyzing the correlation between delta-radiomic feature changes and clinical outcomes (inferred from domain, verify after download)
• Benchmarking radiomics-based predictive models for muscle-invasive bladder cancer (inferred from domain, verify after download)

Strengths

• Published under the CC-BY-4.0 license, permitting broad reuse.
• File format is XLSX, a widely accessible tabular format.
• Last updated on 2026-05-15 03:52:17.

Limitations

• Metadata is minimal; actual content requires verification after download.
• Row count and column definitions are unknown, limiting suitability assessment.
• The 17.2 KB size indicates a very limited scope of data.

Provenance

Source

figshare

Freshness

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