The Integration of Laboratory and Radiological Findings for Enhanced Multi-Cancer Early Detection: Implications for Improving Diagnostic Accuracy and Patient Outcomes

Abstract

Background: Early cancer detection is vital for improving survival rates, as it allows for timely interventions. Traditional screening methods have limitations, including a narrow focus on specific cancer types and low compliance rates. Integrating laboratory and radiology findings presents an opportunity to enhance early detection strategies.

Methods: This review examines the role of integrating laboratory results and radiological imaging in early multi-cancer detection (MCED). A systematic search of relevant literature was conducted across several databases, analyzing studies exploring the effectiveness of combined diagnostic approaches in identifying malignancies at earlier stages.

Results: The findings indicate that combining laboratory and imaging data significantly enhances diagnostic accuracy and the potential for early cancer detection. Multicancer early detection tests utilizing advanced biomarkers, including circulating tumor DNA (ctDNA) and protein markers, alongside radiological assessments, have shown promising results in identifying multiple cancer types. Moreover, artificial intelligence (AI) techniques have facilitated the analysis of complex datasets, further improving screening efficiency and accuracy.

Conclusion: The integration of laboratory and radiology findings in early cancer detection represents a transformative approach to oncology. By leveraging advanced diagnostic technologies and AI, healthcare systems can enhance screening protocols, ultimately leading to improved patient outcomes. Future research should focus on standardizing these integrated approaches and assessing their long-term impact on cancer mortality rates across diverse populations.