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Tytuł:
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Coronary artery disease imaging reporting and data system (CAD-RADS): what radiologists need to know?
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Autorzy:
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Razek AAKA; Department of Diagnostic Radiology, Faculty of Medicine, Mansoura University, Elgomheryia street, Mansoura, 3512, Egypt.
Fahmy D; Department of Diagnostic Radiology, Faculty of Medicine, Mansoura University, Elgomheryia street, Mansoura, 3512, Egypt.
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Źródło:
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Emergency radiology [Emerg Radiol] 2021 Dec; Vol. 28 (6), pp. 1185-1203. Date of Electronic Publication: 2021 Aug 13.
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Typ publikacji:
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Journal Article; Review
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Język:
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English
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Imprint Name(s):
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Publication: New York, NY : Springer-Verlag New York Inc
Original Publication: Baltimore, MD. : Williams & Wilkins, c1994-
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MeSH Terms:
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Coronary Artery Disease*/diagnostic imaging
Computed Tomography Angiography ; Coronary Angiography ; Humans ; Predictive Value of Tests ; Radiologists
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References:
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Contributed Indexing:
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Keywords: Coronary arteries; Coronary artery computed tomography; Coronary artery disease; Coronary artery disease reporting and data system
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Entry Date(s):
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Date Created: 20210813 Date Completed: 20211125 Latest Revision: 20211125
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Update Code:
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20240105
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DOI:
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10.1007/s10140-021-01973-8
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PMID:
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34387783
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The aim of this work is to review Coronary Artery Disease Imaging Reporting and Data System (CAD-RADS) that was designed to standardize reporting language and improve the communication of data among radiologists and clinicians. Stenotic lesions are graded into 5 grades ranging from 0 (no stenosis) to 5 (total occlusion), where the highest grade represents the final score. The expert consensus platform has added 4 special modifiers (non-diagnostic, stent, graft, and vulnerability) to aid patient management through linking these scores with decision algorithm and treatment plan. Adherence to standard imaging protocol; knowledge of normal, variant, and anomalous anatomy; and skillful evaluation of stenosis are important for proper utilization of this reporting system. Lastly, radiologists should be aware of the inherited benefits, limitations, and common pitfalls of this classification system.
(© 2021. American Society of Emergency Radiology.)