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Quantification of progressive pulmonary fibrosis by visual scoring of HRCT images: recommendations from Italian chest radiology experts

  • E Baratella*
  • , A Borghesi
  • , Lucio Calandriello
  • , G Cortese
  • , Casa G Della
  • , C Giraudo
  • , E Grassedonio
  • , Anna Rita Larici
  • , S Palmucci
  • , C Romei
  • , Plastina UR
  • , N Sverzellati
  • *Autore corrispondente per questo lavoro

Risultato della ricerca: Contributo in rivista › Articolo

Abstract

Interstitial lung diseases (ILD) constitute a large and heterogeneous group of disorders affecting the lung parenchyma. While idiopathic pulmonary fibrosis (IPF), the most common type of ILD, is the prototype of progressive fibrosis, other forms, collectively termed “progressive pulmonary fibrosis” (PPF), can show a similar clinical course. Detecting chronic fibrosing ILD progression necessitates radiological evidence using high-resolution computed tomography (HRCT), which determines eligibility for treatment. However, assessing the extent of fibrosis and progression on HRCT images is difficult and lacks specific guidelines. Therefore, expert oversight and high-quality visual assessment/scoring of complex disease patterns is essential to monitor disease changes. Twelve Italian chest radiologists deliberated on the current state of quantifying lung fibrosis using existing literature to develop practice-oriented consensus statements to assist radiologists in visually assessing/scoring lung fibrosis on HRCT images in patients with PPF. The resulting statements cover three key areas: (1) technical requirements necessary for accurate HRCT image assessment; (2) an easy-to-use quantification protocol for routine clinical practice; and (3) a multiple specialist approach by combining radiological, clinical, and histopathological findings for the correct diagnosis, prompt detection of PPF, and timely start of antifibrotic treatment. In future, automated quantitative HRCT evaluation will lead to new clinical assessment tools.
Lingua originaleInglese
pagine (da-a)965-977
Numero di pagine13
RivistaRadiologia Medica
Volume130
Numero di pubblicazione6
DOI
Stato di pubblicazionePubblicato - 2025

OSS delle Nazioni Unite

Questo processo contribuisce al raggiungimento dei seguenti obiettivi di sviluppo sostenibile

  1. SDG 3 - Salute e benessere
    SDG 3 Salute e benessere

All Science Journal Classification (ASJC) codes

  • Radiologia, Medicina Nucleare e Diagnostica per Immagini

Keywords

  • Consensus statements
  • Fibrosis extent
  • Fibrosis progression
  • High-resolution computerized tomography
  • Progressive pulmonary fibrosis

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