Early Detection of ccRCC

Future Directions for Imaging in Kidney Cancer

Main Discussion Topics:

• Potential for deep learning and artificial intelligence (AI) to extract additional information from imaging data sets
• Recognition that computational approaches have limitations
• The future likely requires molecular imaging that assesses tumor expression patterns.

Key Points for Physicians:

• AI and deep learning may identify imaging features not apparent to human readers.
• Computational approaches alone may have limitations.
• Molecular imaging represents the next frontier in renal mass characterization.

Notable Insights:

Although AI approaches show promise, the experts believe the most significant advances will come from molecular imaging techniques that directly assess tumor biology.

Clinical Significance:

Combination of computational approaches and molecular imaging will likely provide the next major advance in renal mass characterization.