Original Research

Frequency of imaging phenotypes of pulmonary interstitial fibrosis

Wallace T. Miller Jr, Scott Simpson, Shweta Sood, Michelle Hershman, Cheilonda R. Johnson, James E. Schmitt, Karen C. Patterson
South African Journal of Radiology | Vol 29, No 1 | a3098 | DOI: https://doi.org/10.4102/sajr.v29i1.3098 | © 2025 Wallace T. Miller Jr, Scott Simpson, Shweta Sood, Michelle Hershman, Cheilonda R. Johnson, James E. Schmitt, Karen C. Patterson | This work is licensed under CC Attribution 4.0
Submitted: 19 December 2024 | Published: 09 May 2025

About the author(s)

Wallace T. Miller Jr, Department of Radiology, Faculty of Medicine, University of Botswana, Gaborone, Botswana; and Department of Radiology, Faculty of Medicine, University of Pennsylvania, Philadelphia, United States, United States
Scott Simpson, Department of Radiology, Faculty of Medicine, University of Pennsylvania, Philadelphia, United States
Shweta Sood, Department of Internal Medicine, Faculty of Medicine, University of Pennsylvania, Philadelphia, United States
Michelle Hershman, Department of Radiology, Faculty of Medicine, University of Pennsylvania, Philadelphia, United States
Cheilonda R. Johnson, Department of Internal Medicine, Faculty of Medicine, University of Pennsylvania, Philadelphia, United States
James E. Schmitt, Department of Radiology, Faculty of Medicine, University of Pennsylvania, Philadelphia, United States
Karen C. Patterson, Department of Internal Medicine, Faculty of Medicine, University of Pennsylvania, Philadelphia, United States; and Department of Internal Medicine, Faculty of Medicine, University of Sussex, Sussex, United Kingdom

Abstract

Background: Evaluation of diffuse interstitial lung disease (ILD) in thoracic imaging is complicated. Radiologists often use a pattern approach to interpretation; however, they are rarely aware of the statistical frequency of disease presentation.

Objectives: To evaluate the relative frequency of causes of fibrotic ILD as a function of imaging patterns.

Method: A CT database of 396 cases of fibrotic ILD was amassed from an institutional diffuse lung disease registry and retrospective search of medical records. Three radiologists and one pulmonologist independently and blindly reviewed the CT scans for the distribution of fibrosis, predominant feature and non-pulmonary findings.

Results: Peripheral fibrosis was most common (291/396, 73.5%), usually caused by idiopathic pulmonary fibrosis (IPF) and connective tissue diseases-related interstitial lung disease (CTD-ILD) but occasionally by hypersensitivity pneumonitis (HP), idiopathic nonspecific interstitial pneumonia (iNSIP) and asbestosis. Peripheral fibrosis with honeycombing was usually IPF and without honeycombing, was usually CTD-ILD. Peripheral fibrosis with pleural plaques was always asbestosis. Peripheral fibrosis with oesophageal dilatation was usually connective tissue diseases. Consolidative-like peripheral fibrosis was CTD-ILD. Axial fibrosis (61/396, 15.4%) was usually sarcoidosis, HP, CTD-ILD or silicosis. Axial fibrosis with predominantly consolidative-like fibrosis, honeycombing, or reticulation was usually sarcoidosis. Axial fibrosis predominated by ground glass opacity was usually HP or CTD-ILD. Lymph node calcification or short axis > 17 mm increased the probability that axial fibrosis was due to sarcoidosis. The non-specific fibrosis phenotype was uncommon (44/396, 11.1%), usually CTD-ILD (25/44, 57%) but also HP, IPF, iNSIP or asbestosis.

Conclusion: Patterns of lung fibrosis provide guidelines to identify the cause.

Contribution: A flow diagram that predicts the relative frequency of the causes of 10 patterns of ILD.


Keywords

lung diseases; interstitial; pulmonary fibrosis; idiopathic pulmonary fibrosis; connective tissue diseases; sarcoidosis; asbestosis; alveolitis; extrinsic allergic; silicosis

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