Literature DB >> 23849493

Rationale and design of the ViCTORY (Validation of an Intracycle CT Motion CORrection Algorithm for Diagnostic AccuracY) trial.

James K Min1, Reza Arsanjani, Sachio Kurabayashi, Daniele Andreini, Gianluca Pontone, Byung-Wook Choi, Hyuk-Jae Chang, Bin Lu, Jagat Narula, Afshin Karimi, Carl Roobottom, Millie Gomez, Daniel S Berman, Ricardo C Cury, Todd Villines, Joon Kang, Jonathon Leipsic.   

Abstract

BACKGROUND: Coronary CT angiography (CTA) has emerged as an effective noninvasive method for direct visualization of the coronary arteries, with high diagnostic performance compared with invasive coronary angiography (ICA). However, coronary CTA is prone to artifacts, including coronary motion, which may reduce its diagnostic performance. Intracycle motion compensation algorithms (MCAs) from a combination of software and hardware techniques now allow for correction of coronary motion, but the diagnostic performance of MCAs compared with traditional coronary CTA reconstruction methods remains unexplored.
METHODS: ViCTORY (Validation of an Intracycle CT Motion CORrection Algorithm for Diagnostic AccuracY) is a prospective international multicenter trial of 218 patients which is designed to evaluate the performance of MCAs for the diagnosis of anatomically obstructive coronary artery disease (CAD) compared with an ICA reference standard, on a per-patient, per-vessel, and per-segment basis. Patients enrolled into ViCTORY will undergo investigational coronary CTA and clinically indicated ICA and will not receive heart rate-lowering medications before coronary CTA. Coronary CTA images will be reconstructed by conventional standard methods as well as by MCAs. Blinded core laboratory interpretation will be performed for coronary CTA and ICA in an intent-to-diagnose fashion.
RESULTS: The primary end point of ViCTORY is the per-patient diagnostic accuracy of MCAs for the diagnosis of anatomically obstructive CAD compared with ICA. Secondary end points will include other per-patient, per-vessel, and per-segment diagnostic performance characteristics, including accuracy, sensitivity, specificity, positive predictive value, and negative predictive value. Other key secondary end points will include diagnostic interpretability, image quality, the upper heart rate threshold of utility of MCAs, and the additive value of MCAs to traditionally reconstructed coronary CTA.
CONCLUSION: ViCTORY will determine whether MCAs improve the diagnosis of obstructive CAD in patients undergoing coronary CTA who are not receiving heart rate-lowering medications.
Copyright © 2013. Published by Elsevier Inc.

Entities:  

Keywords:  Computed tomography; Coronary artery disease; Intracycle motion correction

Mesh:

Year:  2013        PMID: 23849493     DOI: 10.1016/j.jcct.2013.05.005

Source DB:  PubMed          Journal:  J Cardiovasc Comput Tomogr        ISSN: 1876-861X


  8 in total

1.  Heart-rate dependent improvement in image quality and diagnostic accuracy of coronary computed tomographic angiography by novel intracycle motion correction algorithm.

Authors:  Iksung Cho; Kimberly Elmore; Bríain Ó Hartaigh; Josh Schulman-Marcus; Heidi Granser; Valentina Valenti; Guanglei Xiong; Patricia M Carrascosa; James K Min
Journal:  Clin Imaging       Date:  2014-12-09       Impact factor: 1.605

2.  Clinical Feasibility of 3D Automated Coronary Atherosclerotic Plaque Quantification Algorithm on Coronary Computed Tomography Angiography: Comparison with Intravascular Ultrasound.

Authors:  Hyung-Bok Park; Byoung Kwon Lee; Sanghoon Shin; Ran Heo; Reza Arsanjani; Pieter H Kitslaar; Alexander Broersen; Jouke Dijkstra; Sung Gyun Ahn; James K Min; Hyuk-Jae Chang; Myeong-Ki Hong; Yangsoo Jang; Namsik Chung
Journal:  Eur Radiol       Date:  2015-05-21       Impact factor: 5.315

3.  Impact of a vendor-specific motion-correction algorithm on image quality, interpretability, and diagnostic performance of daily routine coronary CT angiography: influence of heart rate on the effect of motion-correction.

Authors:  Heon Lee; Jeong A Kim; Ji Sung Lee; Jon Suh; Sang Hyun Paik; Jai Soung Park
Journal:  Int J Cardiovasc Imaging       Date:  2014-07-20       Impact factor: 2.357

Review 4.  Selecting a CT scanner for cardiac imaging: the heart of the matter.

Authors:  Maria A Lewis; Ana Pascoal; Stephen F Keevil; Cornelius A Lewis
Journal:  Br J Radiol       Date:  2016-07-07       Impact factor: 3.039

Review 5.  Multimodality Imaging in Coronary Artery Disease: Focus on Computed Tomography.

Authors:  Ji Hyun Lee; Donghee Han; Ibrahim Danad; Bríain Ó Hartaigh; Fay Y Lin; James K Min
Journal:  J Cardiovasc Ultrasound       Date:  2016-03-24

6.  Effect of a Novel Intracycle Motion Correction Algorithm on Dual-Energy Spectral Coronary CT Angiography: A Study with Pulsating Coronary Artery Phantom at High Heart Rates.

Authors:  Yan Xing; Yuan Zhao; Ning Guo; Cun-Xue Pan; Gulina Azati; Yan-Wei Wang; Wen-Ya Liu
Journal:  Korean J Radiol       Date:  2017-09-21       Impact factor: 3.500

7.  Influence of Heart Rate and Innovative Motion-Correction Algorithm on Coronary Artery Image Quality and Measurement Accuracy Using 256-Detector Row Computed Tomography Scanner: Phantom Study.

Authors:  Jeong Bin Park; Yeon Joo Jeong; Geewon Lee; Nam Kyung Lee; Jin You Kim; Ji Won Lee
Journal:  Korean J Radiol       Date:  2018-12-27       Impact factor: 3.500

8.  Improvement of Image Quality and Diagnostic Performance by an Innovative Motion-Correction Algorithm for Prospectively ECG Triggered Coronary CT Angiography.

Authors:  Zhen-Nan Li; Wei-Hua Yin; Bin Lu; Hong-Bing Yan; Chao-Wei Mu; Yang Gao; Zhi-Hui Hou; Zhi-Qiang Wang; Kun Liu; Ashley H Parinella; Jonathon A Leipsic
Journal:  PLoS One       Date:  2015-11-16       Impact factor: 3.240

  8 in total

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