Usual interstitial pneumonia and nonspecific interstitial pneumonia: correlation between CT findings at the site of biopsy with pathological diagnoses

Eur J Radiol. 2012 Oct;81(10):2919-24. doi: 10.1016/j.ejrad.2011.11.018. Epub 2011 Dec 12.

Abstract

Objectives: The aim of this study was to correlate high-resolution CT (HRCT) findings at the site of biopsy with the whole lung CT and pathologic diagnoses in usual interstitial pneumonia (UIP) and nonspecific interstitial pneumonia (NSIP).

Methods: The study included 35 patients (25 UIP and 10 NSIP) diagnosed both pathologically and clinically. 81 surgical biopsy specimens (54 UIP, and 27 NSIP) and extracted areas corresponding to biopsy sites on HRCT were analyzed. CT interpretations were compared with pathological diagnoses in both extracted images and the whole lung. Concordant and discordant cases in multiple extracted images were divided and analyzed. Then the whole cases were categorized by including or not at least one UIP diagnosis of extracted images and evaluated.

Results: The diagnoses in extracted sites significantly correlated with pathological diagnoses (p=0.047). There were significant differences in the concordances of extracted images compared with the diagnosis of whole lung and pathology (p=0.008, 0.003, respectively). All 7 cases that were not concordant were diagnosed as radiological UIP with whole lung CT. The cases with at least one UIP diagnosis of extracted CT images were diagnosed as UIP in pathology more frequently (18 in 25) (p=0.007).

Conclusions: Radiological UIP in whole CT had more frequently discordant diagnoses from multiple extracted images than NSIP. And there were more cases in pathological UIP that included at least one UIP diagnosis of extracted images compared with pathological NSIP.

MeSH terms

  • Adult
  • Aged
  • Biopsy, Needle
  • Female
  • Humans
  • Lung Diseases, Interstitial / diagnostic imaging*
  • Lung Diseases, Interstitial / pathology*
  • Male
  • Middle Aged
  • Reproducibility of Results
  • Sensitivity and Specificity
  • Statistics as Topic
  • Tomography, X-Ray Computed / methods*