Research progress in imaging detection of brain metastases

Area of Science:

• Oncology
• Radiology
• Medical Imaging

Background:

• Brain metastasis (BM) is a significant complication in advanced cancers, necessitating early and accurate detection for improved patient survival.
• Current diagnostic challenges include differentiating small lesions and assessing treatment response effectively.

Purpose of the Study:

• To comprehensively review and analyze the characteristics of various imaging techniques for detecting brain metastasis.
• To highlight the advancements and clinical applications of conventional and novel imaging modalities in BM diagnosis.

Main Methods:

• Review of conventional Magnetic Resonance Imaging (MRI), Computed Tomography (CT), and Positron Emission Tomography (PET) imaging.
• Analysis of advanced MRI techniques, multimodal fusion imaging (PET/CT, PET/MRI), radiomics, and Artificial Intelligence (AI).

Main Results:

• Conventional MRI is the primary tool, with advanced techniques enhancing small lesion detection.
• CT offers rapid assessment but has limitations in soft-tissue resolution and involves radiation.
• PET provides functional insights but faces signal-to-noise challenges; multimodal fusion improves sensitivity and specificity.
• Radiomics and AI show promise for precise identification and personalized treatment strategies.

Conclusions:

• A range of imaging techniques, from conventional to AI-driven approaches, are vital for diagnosing brain metastasis.
• Integrating multimodal imaging and leveraging AI can significantly enhance diagnostic accuracy and guide personalized cancer treatment.
• Continued research and clinical application of these technologies are essential for advancing brain metastasis management.