Multiple myeloma poses a unique challenge for radiologists: the disease often affects the bone marrow unevenly, and conventional biopsies can only capture a small snapshot. Whole-body MRI has emerged as a highly sensitive imaging technique – and combined with AI-driven automation, it's opening up entirely new possibilities for diagnosis and treatment monitoring.
In this interview, Professor Christina Messiou (The Royal Marsden NHS Foundation Trust, Institute of Cancer Research London) explains how integrating an AI algorithm into mint Lesion is transforming image interpretation, why automated metrics like skeletal segmentation, fat fraction and longitudinal charting matter clinically, and where precision medicine for myeloma is headed next.
Read the full interview now: AI in Whole-Body MRI for Multiple Myeloma.
