Imaging-based Machine-learning Models to Predict Clinical Outcomes and Identify Biomarkers in Osteosarcoma: A Scoping Review Protocol

Key Points

• The review aims to explore the literature on imaging-based machine learning models for osteosarcoma outcomes and biomarkers.
• Conduct a scoping review of existing studies on machine learning models in osteosarcoma.
• Utilize the Radiomics Quality Score 2.0 framework to assess study quality.
• Evaluate clinical readiness using Radiomics Readiness Levels.
• Identify various machine learning models developed for predicting survival and metastasis.
• Highlight biomarkers associated with clinical outcomes in osteosarcoma.
• Assess the overall quality of the studies reviewed based on RQS 2.0.