MRI biomarkers and their correlation with the Oncotype DX test

Area of Science:

• Oncology
• Radiology
• Medical Imaging

Background:

• Breast cancer (BC) presents significant societal impact due to high incidence and prevalence.
• Magnetic resonance imaging (MRI) is vital for breast cancer detection and staging.
• The Oncotype DX Breast Recurrence Score (ODXRS) test aids in chemotherapy decisions for early-stage luminal BC.

Purpose of the Study:

• To review current knowledge on MRI biomarkers, utilizing BI-RADS® classification.
• To explore the application of artificial intelligence (AI) in MRI for breast cancer.
• To establish the correlation between AI-enhanced MRI and the ODXRS test.

Main Methods:

• Literature review of studies on MRI biomarkers and BI-RADS® classification.
• Review of recent research on AI applications in breast MRI.
• Analysis of studies correlating AI-MRI findings with ODXRS test results.

Main Results:

• Emerging studies demonstrate promising findings in AI and MRI for breast cancer assessment.
• AI-driven MRI analysis shows potential in refining diagnostic accuracy.
• Correlation between AI-MRI biomarkers and ODXRS is an active area of research.

Conclusions:

• AI integrated with MRI holds potential for personalized breast cancer treatment.
• Standardization of AI-MRI techniques could revolutionize breast radiology.
• Further research is needed to fully establish AI-MRI's role alongside ODXRS in clinical practice.