Diagnostic accuracy of in-stent restenosis using model-based iterative reconstruction at coronary CT angiography: initial experience
Author:
Affiliation:
1. Department of Diagnostic Radiology, Hiroshima University, Hiroshima, Japan
2. Department of Radiology, Hiroshima University, Hiroshima, Japan
3. Department of Cardiovascular Medicine, Hiroshima University, Hiroshima, Japan
Publisher
British Institute of Radiology
Subject
Radiology, Nuclear Medicine and imaging,General Medicine
Link
http://www.birpublications.org/doi/pdf/10.1259/bjr.20170598
Reference15 articles.
1. ACCF/SCCT/ACR/AHA/ASE/ASNC/NASCI/SCAI/SCMR 2010 Appropriate Use Criteria for Cardiac Computed Tomography
2. Evaluation of Patients with Previous Coronary Stent Implantation with 64-Section CT
3. Usefulness of 64-Slice Multislice Computed Tomography Coronary Angiography to Assess In-Stent Restenosis
4. Usefulness of 64-Detector Row Computed Tomography for Evaluation of Intracoronary Stents in Symptomatic Patients With Suspected In-Stent Restenosis
5. New iterative reconstruction techniques for cardiovascular computed tomography: How do they work, and what are the advantages and disadvantages?
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1. Coronary CT Angiography-Based Assessment of Coronary in-Stent Restenosis: A Journey through Past and Present Trends;Journal of the Korean Society of Radiology;2024
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3. Coronary computed tomography angiographic detection of in-stent restenosis via deep learning reconstruction: a feasibility study;European Radiology;2023-09-06
4. Coronary Artery Stent Evaluation by CTA: Impact of Deep Learning Reconstruction and Subtraction Technique;American Journal of Roentgenology;2023-01
5. SCCT 2021 Expert Consensus Document on Coronary Computed Tomographic Angiography: A Report of the Society of Cardiovascular Computed Tomography;Journal of Cardiovascular Computed Tomography;2021-05
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