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Congress: ECR24
Poster Number: C-23143
Type: EPOS Radiologist (scientific)
DOI: 10.26044/ecr2024/C-23143
Authorblock: P. Ciolli, G. Tedeschi, V. Sosio, T. Falcone, P. Rondi, D. Farina, A. Borghesi; Brescia/IT
Disclosures:
Pietro Ciolli: Nothing to disclose
Giulia Tedeschi: Nothing to disclose
Valentina Sosio: Nothing to disclose
Teresa Falcone: Nothing to disclose
Paolo Rondi: Nothing to disclose
Davide Farina: Nothing to disclose
Andrea Borghesi: Nothing to disclose
Keywords: Computer applications, Thorax, CT, CT-High Resolution, CT-Quantitative, Computer Applications-General, Outcomes
Purpose

Fibrosing interstitial lung diseases represent a heterogeneous group of pathologies. The most well-known is idiopathic pulmonary fibrosis (IPF), which, by definition, has a progressive development leading inevitably to the decline of respiratory function, ultimately resulting in respiratory failure. Additionally, there is a broad group of idiopathic and secondary pulmonary fibrosis, among which some may develop a progressive phenotype.[1]

It has been demonstrated that antifibrotic drugs can slow down the decline not only in IPF but also in non-IPF cases. In two clinical trials [2,3], it was shown that Nintedanib, previously used only in treating IPF, was effective in slowing the progression of non-IPF fibrosis with a progressive phenotype. Therefore, Nintedanib has been approved by the European Medicines Agency (EMA) and the Italian Medicines Agency (AIFA) for treating non-IPF fibrosis in cases where a progressive phenotype is demonstrated. To define a progressive phenotype, one of the following conditions must be present within a maximum observation period of 24 months:

  • Decline in Forced Vital Capacity (FVC) > 10%
  • Decline in FVC 5-9% + progression of radiological findings on High-Resolution Computed Tomography (HRCT)
  • Progression of radiological findings on HRCT + worsening of symptoms

Therefore, considerable attention is given to the radiological aspect, and today, the progression of radiological findings is subjectively assessed.

Well-Aerated Lung (WAL) is a parameter already successfully used to predict outcomes in patients hospitalized for COVID-19-associated Acute Respiratory Distress Syndrome (ARDS) [4].

We aim to evaluate the feasibility and reproducibility of computer-assisted quantification of "Well Aerated Lung" (WAL) in assessing lung involvement in patients with non-IPF pulmonary fibrosis. This aims to make the evaluation of radiological progression more objective.

GALLERY