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Castle’s DecisionDx-SCC study shows  predictive accurracy with patients
The Fly

Castle’s DecisionDx-SCC study shows predictive accurracy with patients

Castle Biosciences announced the publication of a new multi-center performance study of its DecisionDx-SCC risk stratification test. The study, published in Dermatology and Therapy analyzed the independent performance of DecisionDx-SCC from risk factors and traditional staging systems staging, and demonstrated significantly improved predictive accuracy when the test’s results were integrated with the staging systems and National Comprehensive Cancer Network NCCN guidelines to guide risk-appropriate treatment pathway decisions that can improve patient outcomes. “Data-driven risk assessment is the foundation of sound clinical decision-making,” said Ashley Wysong, M.D., M.S., lead study author, professor, distinguished chair of dermatology and founding chair of the department of dermatology at the University of Nebraska Medical Center. “Incorporating DecisionDx-SCC test results into the management of high-risk SCC can help ensure patients receive the best care possible by incorporating their biological risk of metastasis into the treatment plan. Use of the test in clinical practice can help with optimization of healthcare resources by reducing both overtreatment of patients with a low biological risk of metastasis and undertreatment of patients with aggressive tumor biology.”…”Castle is committed to improving the care of patients with SCC through broader use of our DecisionDx-SCC test,” said Matthew Goldberg, M.D., board-certified dermatologist and dermatopathologist, and senior vice president, medical, at Castle Biosciences. “As such, we continue to develop evidence showing that our test adds independent prognostic value to the clinical and pathologic risk factors used for guiding risk-informed treatment plans within current guidelines. The DecisionDx-SCC test result is interpreted by the treating clinician in the context of what they already know about their patient’s tumor to improve their prognostic accuracy and inform more closely risk-aligned management decisions with the goal of improving clinical outcomes for their patients with high-risk skin cancer.”

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