Quantitative evaluation and comparison of coronary artery characteristics by 3D coronary volume reconstruction.
Adult
Cardiac Surgical Procedures
/ methods
Cohort Studies
Coronary Angiography
/ methods
Coronary Artery Disease
/ diagnostic imaging
Coronary Vessels
/ diagnostic imaging
Dilatation, Pathologic
/ diagnostic imaging
Evaluation Studies as Topic
Female
Humans
Image Processing, Computer-Assisted
/ methods
Imaging, Three-Dimensional
/ methods
Male
Netherlands
Observer Variation
Radiographic Image Interpretation, Computer-Assisted
/ methods
Ultrasonography, Interventional
/ methods
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
13 01 2021
13 01 2021
Historique:
received:
06
07
2020
accepted:
17
12
2020
entrez:
14
1
2021
pubmed:
15
1
2021
medline:
14
8
2021
Statut:
epublish
Résumé
Non-atherosclerotic abnormalities of vessel calibre, aneurysm and ectasia, are challenging to quantify and are often overlooked in qualitative reporting. Utilising a novel 3-dimensional (3D) quantitative coronary angiography (QCA) application, we have evaluated the characteristics of normal, diabetic and aneurysmal or ectatic coronary arteries. We selected 131 individuals under 50 years-of-age, who had undergone coronary angiography for suspected myocardial ischaemia between 1st January 2011 and 31st December 2015, at the Bristol Heart Institute, Bristol, UK. This included 42 patients with angiographically normal coronary arteries, 36 diabetic patients with unobstructed coronaries, and 53 patients with abnormal coronary dilatation (aneurysm and ectasia). A total of 1105 coronary segments were analysed using QAngio XA 3D (Research Edition, Medis medical imaging systems, Leiden, The Netherlands). The combined volume of the major coronary arteries was significantly different between each group (1240 ± 476 mm
Identifiants
pubmed: 33441962
doi: 10.1038/s41598-020-80928-4
pii: 10.1038/s41598-020-80928-4
pmc: PMC7806746
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
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