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Dataset Information

Computed tomography patterns predict clinical course of idiopathic pulmonary fibrosis.


ABSTRACT:

Background

A new clinical guideline for idiopathic pulmonary fibrosis (IPF) uses high-resolution computed tomography (HRCT) patterns for diagnostic purposes. However, it is unknown how they relate to the IPF clinical course. We aimed to investigate whether HRCT patterns could be used to predict lung function changes and survival in patients with IPF.

Methods

Clinical data were retrospectively reviewed in 337 patients with IPF (all biopsy-proven cases). HRCT patterns were classified according to the 2018 IPF diagnostic criteria.

Results

The median follow-up was 46.9 months. The mean age was 62.5 years, and 74.2% were men. Among the HRCT patterns, usual interstitial pneumonia (UIP), probable UIP, indeterminate for UIP, and an alternative diagnosis were identified in 163

SUBMITTER: Kwon BS 

PROVIDER: S-EPMC7653759 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature