Osteosarcoma CT Radiomics Dataset for Metastasis Prediction

Clinical and texture features derived from CT scans are included for predicting pulmonary metastasis in osteosarcoma patients. The dataset is hosted on Kaggle, but specific details about its size, origin, and creation date are not provided. Its primary purpose is to support the development of predictive models for cancer metastasis.

Use Cases

• Predicting pulmonary metastasis in osteosarcoma patients based on clinical features.
• Training machine learning models for cancer prognosis using texture features from CT scans.
• Analyzing the relationship between radiomic signatures and metastatic outcomes.

Strengths

• Focuses on a specific and high-impact medical application: osteosarcoma metastasis prediction.
• Includes both clinical and texture features, which suggests a multimodal approach to prediction.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

Kaggle