The Percepta classifier is used to resolve inconclusive bronchoscopy results in patients undergoing evaluation for potentially cancerous lung nodules or lesions. Among the estimated 350,000 patients who undergo such a bronchoscopy each year, up to 70 percent receive results that are inconclusive. This frequently leads to patients undergoing potentially risky, expensive and unnecessary invasive procedures, including transthoracic needle biopsy (TTNB) and surgical lung biopsy (SLB), to obtain a more definitive diagnosis.
"Unnecessary invasive procedures in lung cancer diagnosis can expose patients to procedural risks and discomfort, and create an additional cost burden to the healthcare system," said
To conduct their analysis, Dr. Feller-Kopman and colleagues evaluated data for 101 lung-nodule patients from the multicenter, prospective AEGIS-1 and -2 studies, which investigated the clinical performance of the Percepta classifier. All patients had a pre-test intermediate risk of lung cancer based on clinical factors. Using a commonly accepted health economics framework (a Markov model), they found that use of the Percepta classifier following an inconclusive bronchoscopy reduced invasive procedure rates by 28 percent at one month and 18.3 percent at two years, compared to use of bronchoscopy alone. They also found that the incremental cost-effectiveness ratio (ICER) - the primary metric used in health economics to assess the value of an intervention - was
"These new data underscore the tremendous value that the Percepta classifier brings to patients and the healthcare system by reducing unnecessary invasive procedures in lung cancer screening and diagnosis," said
The Percepta Bronchial Genomic Classifier is the first genomic test to receive
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