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The impact of slice-reduced computed tomography on histogram-based densitometry assessment of lung fibrosis in patients with systemic sclerosis
Author(s) -
Thi Dan Linh Nguyen-Kim,
Britta Maurer,
Yossra A. Suliman,
Fabian Morsbach,
Oliver Distler,
Thomas Frauenfelder
Publication year - 2018
Publication title -
journal of thoracic disease
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.682
H-Index - 60
eISSN - 2077-6624
pISSN - 2072-1439
DOI - 10.21037/jtd.2018.04.39
Subject(s) - medicine , densitometry , histogram , computed tomography , lung fibrosis , lung , radiology , pulmonary fibrosis , pathology , artificial intelligence , computer science , image (mathematics)
To evaluate usability of slice-reduced sequential computed tomography (CT) compared to standard high-resolution CT (HRCT) in patients with systemic sclerosis (SSc) for qualitative and quantitative assessment of interstitial lung disease (ILD) with respect to (I) detection of lung parenchymal abnormalities, (II) qualitative and semiquantitative visual assessment, (III) quantification of ILD by histograms and (IV) accuracy for the 20%-cut off discrimination.

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