Correlation between HRTC appearance and histopathological features in the diagnosis of interstitial lung diseases

Autor: Alberto Oliaro, Matteo Roffinella, Francesco Guerrera, Paolo Solidoro, Marco Bardessono, Giulia Verri, Paraskevas Lyberis, Lorena Mercante, Caterina Bucca, Pier Luigi Filosso, Enrico Ruffini
Rok vydání: 2018
Předmět:
Zdroj: Idiopathic interstitial pneumonias.
DOI: 10.1183/13993003.congress-2018.pa2935
Popis: Background: According to current guidelines, when a high-confidence radiologic diagnosis of usual interstitial pneumonia (UIP) is made on thin-section computed tomography (HRCT), surgical biopsy is rarely required. Nevertheless, the disowning of HRCT-scans diagnoses by biopsy is not a rare event as presumed. Aim of our study is to describe the rate of concordance between HRCT-scans and pathological diagnoses. Methods: Patients who underwent mini-invasive surgical biopsy for interstitial lung diseases, from 2013 to 2017 were analyzed. The HRCT-scans were reviewed by an observer blinded to clinical information of patients. The concordance between histological and HRCT-scan were assessed. Results: Data of 35 patients with uncertain HRCT diagnosis of interstitial lung diseases were analyzed. Most of the patients are male (21-60%). The more frequent HRCT pattern was the UIP inconsistent (17–49%), followed by the UIP possible (12–34%), the consolidation (3–9%), the ground glass opacity (1-3%), the non-specific interstitial pneumonia (NSIP) (1–3%) and others (1-3%). The more common histological diagnosis was the cronic hypersensivity pneumonitis (8–23%), followed by the UIP-like pattern (7–20%), the Sarcoidosis (5-14%), the others (7-20%). In 7 (20%) cases final pathological finding denies HRCT-scans diagnoses; indeed, a moderate agreement between HRCT-scan findings and the final histological diagnosis was observed (kappa index:0.42). Conclusions: HRCT-scan have limitations if the objective is to accurate define interstitial lung diseases. Consequently, pathological assessing should be taken into account, in order to provide more accurate tailored treatment strategies.
Databáze: OpenAIRE