Imaging in the diagnosis and management of fibrosing interstitial lung diseases.
Christoph LedererMonika StormanAdam Domonkos TarnokiDavid Laszlo TarnokiGeorge A MargaritopoulosHelmut ProschPublished in: Breathe (Sheffield, England) (2024)
High-resolution computed tomography (HRCT) plays a pivotal role in the diagnosis and management of interstitial lung diseases (ILDs), particularly given the approval of antifibrotic agents for conditions like idiopathic pulmonary fibrosis and progressive pulmonary fibrosis. Diagnosing fibrotic pulmonary disorders through HRCT involves a detailed and methodical examination. The identification of specific lung tissue changes, including ground-glass opacities and reticulation, along with signs of fibrosis like honeycombing, traction bronchiectasis and lung volume loss, establishes clear HRCT patterns indicative of various ILDs. The reliability of these patterns in predicting pathological conditions depends largely on the clinical context. For instance, when a usual interstitial pneumonia pattern is present, the predictive value of this diagnosis is so high that a lung biopsy is considered to be redundant. This review intends to delineate the HRCT signs of fibrosis, elucidate the specific radiological patterns of fibrotic lung diseases, and identify the clinical circumstances under which these patterns emerge. Additionally, we introduce and discuss novel imaging techniques that hold promise for the diagnosis, screening and early detection of ILDs.
Keyphrases
- idiopathic pulmonary fibrosis
- high resolution
- computed tomography
- pulmonary fibrosis
- interstitial lung disease
- systemic sclerosis
- multiple sclerosis
- pulmonary hypertension
- magnetic resonance
- machine learning
- intensive care unit
- deep learning
- acute respiratory distress syndrome
- image quality
- liquid chromatography
- dual energy