HRCT Patterns of Drug-Induced Interstitial Lung Diseases: A Review.
Giulio DistefanoLuigi FanzoneMonica PalermoFrancesco TiralongoSalvatore CosentinoCorrado InìFederica GaliotoAda VancheriSebastiano E TorrisiLetizia A MauroPietro V FotiCarlo VancheriStefano PalmucciAntonio BasilePublished in: Diagnostics (Basel, Switzerland) (2020)
Interstitial Lung Diseases (ILDs) represent a heterogeneous group of pathologies, which may be related to different causes. A low percentage of these lung diseases may be secondary to the administration of drugs or substances. Through the PubMed database, an extensive search was performed in the fields of drug toxicity and interstitial lung disease. We have evaluated the different classes of drugs associated with pulmonary toxicity. Several different high resolution computed tomography (HRCT) patterns related to pulmonary drug toxicity have been reported in literature, and the most frequent ILDs patterns reported include Nonspecific Interstitial Pneumonia (NSIP), Usual Interstitial Pneumonia (UIP), Hypersensitivity Pneumonitis (HP), Organizing Pneumonia (OP), Acute Respiratory Distress Syndrome (ARDS), and Diffuse Alveolar Damage (DAD). Finally, from the electronic database of our Institute we have selected and commented on some cases of drug-induced lung diseases related to the administration of common drugs. As the imaging patterns are rarely specific, an accurate evaluation of the clinical history is required and a multidisciplinary approach-involving pneumologists, cardiologists, radiologists, pathologists, and rheumatologists-is recommended.
Keyphrases
- drug induced
- liver injury
- acute respiratory distress syndrome
- high resolution
- adverse drug
- interstitial lung disease
- computed tomography
- extracorporeal membrane oxygenation
- oxidative stress
- systemic sclerosis
- mechanical ventilation
- pulmonary hypertension
- systematic review
- magnetic resonance imaging
- rheumatoid arthritis
- positron emission tomography
- intensive care unit
- ms ms
- artificial intelligence
- machine learning
- drinking water
- photodynamic therapy
- simultaneous determination
- quality improvement
- electronic health record
- pet ct