Scientific Sessions

Cancer imaging techniques are vital tools in modern oncology, providing non-invasive methods to detect, diagnose, and monitor cancer. These advanced technologies enable clinicians to visualize tumor characteristics, assess their progression, and plan targeted treatment strategies. Imaging modalities such as Magnetic Resonance Imaging (MRI), Computed Tomography (CT), Positron Emission Tomography (PET), and Ultrasound have transformed the accuracy of cancer diagnostics. MRI offers high-resolution images of soft tissues, making it particularly useful for detecting brain, spine, and pelvic tumors. CT scans provide detailed cross-sectional images of the body, helping to identify the size and location of tumors. PET scans are widely used for metabolic and functional imaging, identifying cancerous cells based on their high glucose uptake.

In addition to these modalities, emerging techniques like molecular imaging and artificial intelligence (AI)-integrated systems are revolutionizing cancer imaging. Molecular imaging allows for precise visualization of biological processes at the cellular and molecular levels, aiding in early cancer detection. AI integration enhances imaging accuracy, automates tumor detection, and predicts treatment outcomes more effectively. Furthermore, hybrid technologies, such as PET/CT and PET/MRI, combine the strengths of different imaging modalities, providing comprehensive information about cancer morphology and metabolism in a single scan. These advancements not only improve diagnostic accuracy but also enable personalized treatment planning and monitoring, reducing the burden on patients while enhancing clinical outcomes. As research continues, cancer imaging is expected to further evolve, playing an indispensable role in the fight against cancer.