Real-world results
Dr. Dilling also highlighted a “real-world” study, published earlier in 2021, demonstrating that UIP pattern recognized by a genomic classifier had encouraging sensitivity and specificity when combined with high-resolution CT and clinical factors.
That study included 96 patients who had both diagnostic lung pathology and a transbronchial lung biopsy for molecular testing with the classifier.
The classifier had a sensitivity of 60.3% and a specificity of 92.1% for histology-proven UIP pattern, investigators said in their report, which appears in the American Journal of Respiratory and Critical Care Medicine.
Local radiologists identified UIP with a sensitivity of 34.0% and specificity of 96.9%. But adding genomic classifier testing to local radiology testing increased the diagnostic yield, investigators said, with a sensitivity of 79.2% and specificity of 90.6%.
“This might suggest that the implementation of this into a local [multidisciplinary discussion] with your local radiology expertise might really improve your recognition of UIP,” Dr. Dilling said.
Dr. Dilling reported disclosures related to Bellerophon, Boehringer Ingelheim, Genentech, Nitto Denko, and Lung Bioengineering.