Tumor metrics imaging core labs: primer for radiologists

Area of Science:

• Oncology
• Medical Imaging
• Clinical Trials

Background:

• Imaging biomarkers are crucial endpoints in cancer clinical trials.
• On-site radiologist reads present challenges for tumor metric analysis.
• Tumor metrics imaging core labs offer a solution to standardize reads.

Purpose of the Study:

• To review the role of tumor metrics imaging core labs in cancer clinical trials.
• To outline the components for establishing a core lab.
• To discuss operational challenges and solutions, including AI integration.

Main Methods:

• Comprehensive literature review on tumor metrics imaging core labs.
• Analysis of operational aspects, challenges, and advantages.
• Exploration of artificial intelligence integration in core lab workflows.

Main Results:

• Core labs accelerate trial timelines and improve regulatory compliance.
• Challenges include workflow, infrastructure, and data security.
• Artificial intelligence enhances image analysis, predictive modeling, and efficiency.

Conclusions:

• Tumor metrics imaging core labs are vital for efficient and compliant cancer clinical trials.
• Establishing and maintaining core labs requires addressing operational complexities.
• AI integration presents significant potential for advancing core lab capabilities and trial outcomes.