Keywords: Microstructure, biomarkers, cancer grading, cell size, cell density
Motivation: Renal cell carcinoma (RCC) grading is essential for prognosis and treatment planning but currently relies on invasive biopsies, which have limitations and risks.
Goal(s): Develop a non-invasive imaging technique to accurately assess RCC grade.
Approach: We used IMPULSED, a type of MRI cytometry imaging method to measure average cell sizes in human RCC samples, and correlated these with histological tumor grade. A feasibility study was conducted on a subject with kidney cancer using a clinical 3T scanner to validate clinical applicability.
Results: MRI-derived cell size estimates decreased with increasing RCC grade, aligning with histopathological features of tumor aggressiveness.
Impact: This technique could reduce biopsies and improve RCC diagnosis, grading, and treatment decisions.
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