Novel Diagnostic Technique for Clear Cell Renal Cell Carcinoma
A University of Texas Southwestern team has developed a “likelihood scale” that allows the use of a noninvasive technique to detect, with 80% confidence, the presence or absence of clear cell renal cell carcinoma (RCC) in small kidney tumors that might otherwise need diagnostic biopsies. Led by Ivan Pedrosa, MD, PhD, and Jeffrey Cadeddu, MD, the researchers performed a retrospective review study utilizing multiparametric magnetic resonance imaging (MRI) results to predict clear cell RCC in 121 cT1a masses (4 cm or smaller). The findings of the team, all from The University of Texas Southwestern’s Harold C. Simmons Comprehensive Cancer Center in Dallas, were published in The Journal of Urology.
“Using multiparametric MRI, multiple types of images can be obtained from the renal mass, and each one tells us something about the tissue,” explained Dr. Pedrosa in a UT Southwestern press release. Images indicating the presence of fat, for instance, and how the tumor looks immediately after dye reaches it are among those utilized in creating a score on the likelihood scale.
The clear cell likelihood score ranged from 1 (definitely not) to 5 (definitely). Scores of at least 4 yielded a sensitivity of 78% and a specificity of 80%, whereas scores of at least 3 showed a sensitivity of 95% and a specificity of 58%.
In fact, using multiparametric MRI to determine a tumor’s degree of aggressiveness, not just its type, is the researchers’ hope for the near future, according to the UT Southwestern press release.