MRI Delta-Radiomics for Bladder Cancer Treatment Response Prediction

Additional file 5 from a study on muscle-invasive bladder cancer. The dataset, published on figshare by Benyamin Khajetash, contains delta-radiomics features extracted from MRI scans of patients undergoing neoadjuvant chemotherapy. The file is 29.6 KB in size and was last updated in May 2026.

Use Cases

• Train a model to predict tumor response from MRI-derived radiomic features (inferred from domain, verify after download)
• Analyze the correlation between delta-radiomics changes and chemotherapy efficacy (inferred from domain, verify after download)
• Benchmark feature selection methods for high-dimensional clinical data (inferred from domain, verify after download)

Strengths

• Published under the open CC-BY-4.0 license.
• File size is 29.6 KB, indicating a focused and likely manageable feature set.
• Last update timestamp is 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 dataset's small size (29.6 KB) suggests a limited scope, potentially containing only summary features or a small cohort.

Provenance

Source

figshare

Freshness

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