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Differential diagnoses of fibrosing lung diseases
Author(s) -
Carolyn Horst,
Bahareh Gholipour,
Arjun Nair,
Joseph Jacob
Publication year - 2019
Publication title -
bjr|open
Language(s) - English
Resource type - Journals
ISSN - 2513-9878
DOI - 10.1259/bjro.20190009
Subject(s) - medical diagnosis , medicine , guideline , hypersensitivity pneumonitis , medical physics , multidisciplinary approach , multidisciplinary team , differential diagnosis , intensive care medicine , radiology , lung , pathology , nursing , sociology , social science
Objectives: To describe the challenges inherent in diagnosing fibrosing lung diseases (FLD) on CT imaging and methodologies by which the diagnostic process may be simplified. Methods: Extensive searches in online scientific databases were performed to provide relevant and contemporary evidence that describe the current state of knowledge related to FLD diagnosis. This includes descriptions of the utility of a working diagnosis for an individual case discussed in a multidisciplinary team (MDT) setting and challenges associated with the lack of consensus guidelines for diagnosing chronic hypersensitivity pneumonitis. Results: As well as describing imaging features that indicate the presence of a fibrosing lung disease, those CT characteristics that nuance a diagnosis of the various FLDs are considered. The review also explains the essential information that a radiologist needs to convey to an MDT when reading a CT scan. Lastly, we provide some insights as to the future directions the field make take in the upcoming years. Conclusions: This review outlines the current state of FLD diagnosis and emphasizes areas where knowledge is limited, and more evidence is required. Fundamentally, however, it provides a guide for radiologists when tackling CT imaging in a patient with FLD. Advances in knowledge: This review encompasses advice from recent guideline statements and evidence from the latest studies in FLD to provide an up-to-date manual for radiologists to aid the diagnosis of FLD on CT imaging in an MDT setting.

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