Utility of a Molecular Classifier as a Complement to High-Resolution Computed Tomography to Identify Usual...

Area of Science:

• Pulmonary Medicine
• Genomics
• Diagnostic Pathology

Background:

• Usual Interstitial Pneumonia (UIP) is the hallmark of Idiopathic Pulmonary Fibrosis (IPF).
• Surgical lung biopsy is conditionally recommended for UIP diagnosis when imaging and clinical data are inconclusive.
• The Envisia Genomic Classifier offers molecular diagnosis of UIP from transbronchial lung biopsies.

Purpose of the Study:

• To assess the combined diagnostic accuracy of the Envisia Genomic Classifier and local radiology for detecting the UIP pattern.
• To evaluate the utility of molecular testing in interstitial lung disease diagnosis.

Main Methods:

• Analysis of 96 patients with diagnostic lung pathology and transbronchial lung biopsy for Envisia testing.
• Comparison of Envisia Classifier results with histopathology-proven UIP.
• Correlation of high-resolution computed tomography (HRCT) findings with histopathology and molecular results.

Main Results:

• Envisia Classifier showed 92.1% specificity and 60.3% sensitivity for histology-proven UIP.
• Local radiologists identified UIP in 34.0% of cases with UIP histopathology.
• Combining Envisia Classifier with HRCT increased UIP detection sensitivity to 79.2%.

Conclusions:

• The Envisia Genomic Classifier can identify UIP irrespective of HRCT findings.
• Integrated multidisciplinary discussion involving Envisia results, HRCT, and clinical data may facilitate IPF diagnosis, potentially avoiding surgical lung biopsy.