MRI Delta-Radiomics for Tumor Response Prediction in Bladder Cancer

12.5 KB Excel file published on figshare by Benyamin Khajetash on 2026-05-15. It contains supplementary data for a study on muscle-invasive bladder cancer patients undergoing neoadjuvant chemotherapy. The columns suggest radiomic features extracted from MRI scans before and after treatment.

Use Cases

• Training a model to predict tumor response from MRI radiomic features (inferred from domain, verify after download)
• Analyzing the relationship between delta-radiomics and chemotherapy efficacy (inferred from domain, verify after download)
• Benchmarking radiomic feature extraction pipelines for bladder cancer (inferred from domain, verify after download)

Strengths

• Published under the permissive CC-BY-4.0 license
• File size is 12.5 KB, indicating a focused and likely manageable dataset

Limitations

• Metadata is minimal; actual content requires verification after download
• Row count is unknown, which may limit suitability assessment
• Column-level documentation is absent; field semantics must be inferred after download

Provenance

Source

figshare

Freshness

Last updated 2026-05-15 03:52:16