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Title
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Thoracic radiology revisited : challenges and solutions in an evolving world
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Author
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Abstract
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| For decades, Computed Tomography imaging has had a key role in diagnosis and management of patients with lung cancer, unfortunately often presenting in advanced disease stages. Early detection is however crucial to improve outcome and survival. Where imaging of advanced disease is often straightforward, diagnosis of early lung cancers – often presenting as pulmonary nodules- as well as uncommon manifestations and mimickers, is far more challenging. Imaging technology has made radical changes over the past decades. The (r)evolution of multidetector CT and transition to PACS caused an increase in images to read. This triggered the idea of merging multiple conventional window settings into a single ‘All-In-One’ (AIO) window. Currently, AI is reshaping the imaging world with radiologists on the frontline of AI innovation in the medical sector. It will play a role in many aspects of lung cancer imaging and will force us to come out of the dark. |
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Language
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English
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Publication
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Antwerp
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University of Antwerp, Faculty of Medicine and Health Sciences, Department of Radiology
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2019
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Volume/pages
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263 p.
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Note
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:
Parizel, Paul M. [Supervisor]
:
van Meerbeeck, Jan P. [Supervisor]
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Full text (open access)
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