Oncology Imaging

Overview

Oncology imaging uses CT MRI PET and ultrasound for staging and surveillance. It assesses tumor extent nodal involvement and metastases. Imaging guides biopsy radiation and surgical planning.

Staging and Response

Imaging determines stage and evaluates treatment response over time. Serial imaging helps assess tumor shrinkage progression or recurrence. Standardized criteria improve consistency in reporting.

Therapy Planning

Imaging supports radiation planning surgical resection and interventional therapies. Functional imaging can identify viable tumor and treatment targets. Multidisciplinary review integrates imaging into care decisions.

Surveillance

Post treatment surveillance uses modality specific protocols to detect recurrence early. Imaging intervals depend on tumor type stage and risk factors. Coordination with oncology ensures appropriate follow up.

AI for Treatment Response Assessment

Overview

AI quantifies changes in tumor burden and functional metrics to assess treatment response. Automated assessment enables earlier detection of response or progression. Standardized metrics support clinical trials and practice.

Imaging Biomarkers

Functional imaging and radiomic changes serve as biomarkers of response. AI extracts and integrates these signals for robust assessment. Validation links imaging biomarkers to clinical outcomes.

Workflow

Automated pipelines process serial studies and generate response reports for clinicians. Alerts notify teams of significant changes requiring action. Integration with oncology systems streamlines care coordination.

Regulatory Pathways

Demonstrating clinical benefit and reproducibility is required for regulatory approval. Prospective trials validate AI driven response assessment. Post market monitoring tracks real world performance.