Literature DB >> 16353440

Sample size calculation for clinical trials using magnetic resonance imaging for the quantitative assessment of carotid atherosclerosis.

Tobias Saam1, William S Kerwin, Baocheng Chu, Jianming Cai, Annette Kampschulte, Thomas S Hatsukami, Xue-Qiao Zhao, Nayak L Polissar, Blazej Neradilek, Vasily L Yarnykh, Kelly Flemming, John Huston, William Insull, Joel D Morrisett, Scott D Rand, Kevin J DeMarco, Chun Yuan.   

Abstract

PURPOSE: To provide sample size calculation for the quantitative assessment of carotid atherosclerotic plaque using non-invasive magnetic resonance imaging in multi-center clinical trials. METHODS. As part of a broader double-blind randomized trial of an experimental pharmaceutical agent, 20 asymptomatic placebo-control subjects were recruited from 5 clinical sites for a multi-center study. Subjects had 4 scans in 13 weeks on GE 1.5 T scanners, using TOF, T1-/PD-/T2- and contrast-enhanced Tl-weighted images. Measurement variability was assessed by comparing quantitative data from the index carotid artery over the four time points. The wall/outer wall (W/OW) ratio was calculated as wall volume divided by outer wall volume. The percent lipid-rich/necrotic core (%LR/NC) and calcification (%Ca) were measured as a proportion of the vessel wall. For %LR/NC and %Ca, only those subjects that exhibited LR/NC or Ca components were used in the analysis.
RESULTS: Measurement error was 5.8% for wall volume, 3.2% for W/OW ratio, 11.1% for %LR/NC volume and 18.6% for %Ca volume. Power analysis based on these values shows that a study with 14 participants in each group could detect a 5% change in W/OW ratio, 10% change in wall volume, and 20% change in %LR/NC volume (power = 80%, p < .05). The calculated measurement errors presume any true biological changes were negligible over the 3 months that subjects received placebo.
CONCLUSION: In vivo MRI is capable of quantifying plaque volume and plaque composition, such as %lipid-rich/necrotic core and %calcification, in the clinical setting of a multi-center trial with low inter-scan variability. This study provides the basis for sample size calculation of future MRI trials.

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Year:  2005        PMID: 16353440     DOI: 10.1080/10976640500287703

Source DB:  PubMed          Journal:  J Cardiovasc Magn Reson        ISSN: 1097-6647            Impact factor:   5.364


  37 in total

1.  Discriminating carotid atherosclerotic lesion severity by luminal stenosis and plaque burden: a comparison utilizing high-resolution magnetic resonance imaging at 3.0 Tesla.

Authors:  Xihai Zhao; Hunter R Underhill; Qian Zhao; Jianming Cai; Feiyu Li; Minako Oikawa; Li Dong; Hideki Ota; Thomas S Hatsukami; Baocheng Chu; Chun Yuan
Journal:  Stroke       Date:  2010-12-23       Impact factor: 7.914

2.  Predictors of carotid atherosclerotic plaque progression as measured by noninvasive magnetic resonance imaging.

Authors:  Tobias Saam; Chun Yuan; Baocheng Chu; Norihide Takaya; Hunter Underhill; Jianming Cai; Nam Tran; Nayak L Polissar; Blazej Neradilek; Gail P Jarvik; Carol Isaac; Gwenn A Garden; Kenneth R Maravilla; Beverly Hashimoto; Thomas S Hatsukami
Journal:  Atherosclerosis       Date:  2006-09-15       Impact factor: 5.162

3.  Efficient flow suppressed MRI improves interscan reproducibility of carotid atherosclerosis plaque burden measurements.

Authors:  Li Dong; Jinnan Wang; Vasily L Yarnykh; Hunter R Underhill; Moni B Neradilek; Nayak Polissar; Thomas S Hatsukami; Chun Yuan
Journal:  J Magn Reson Imaging       Date:  2010-08       Impact factor: 4.813

4.  Carotid atherosclerotic plaque progression and change in plaque composition over time: a 5-year follow-up study using serial CT angiography.

Authors:  M J van Gils; D Vukadinovic; A C van Dijk; D W J Dippel; W J Niessen; A van der Lugt
Journal:  AJNR Am J Neuroradiol       Date:  2012-02-16       Impact factor: 3.825

5.  Increasing spatial resolution of 3T MRI scanning improves reproducibility of carotid arterial wall dimension measurements.

Authors:  Diederik F van Wijk; Aart C Strang; Raphael Duivenvoorden; Dirk-Jan F Enklaar; Rob J van der Geest; John J P Kastelein; Eric de Groot; Erik S G Stroes; Aart J Nederveen
Journal:  MAGMA       Date:  2013-09-18       Impact factor: 2.310

6.  Predictors of surface disruption with MR imaging in asymptomatic carotid artery stenosis.

Authors:  H R Underhill; C Yuan; V L Yarnykh; B Chu; M Oikawa; L Dong; N L Polissar; G A Garden; S C Cramer; T S Hatsukami
Journal:  AJNR Am J Neuroradiol       Date:  2009-10-15       Impact factor: 3.825

7.  Patterns and Implications of Intracranial Arterial Remodeling in Stroke Patients.

Authors:  Ye Qiao; Zeeshan Anwar; Jarunee Intrapiromkul; Li Liu; Steven R Zeiler; Richard Leigh; Yiyi Zhang; Eliseo Guallar; Bruce A Wasserman
Journal:  Stroke       Date:  2016-01-07       Impact factor: 7.914

Review 8.  Atherosclerotic plaque imaging by carotid MRI.

Authors:  Xihai Zhao; Zachary E Miller; Chun Yuan
Journal:  Curr Cardiol Rep       Date:  2009-01       Impact factor: 2.931

9.  Cardiovascular magnetic resonance parameters of atherosclerotic plaque burden improve discrimination of prior major adverse cardiovascular events.

Authors:  Venkatesh Mani; Paul Muntner; Samuel S Gidding; Silvia H Aguiar; Hamza El Aidi; Karen B Weinshelbaum; Hiroaki Taniguchi; Rob van der Geest; Johan H C Reiber; Sameer Bansilal; Michael Farkouh; Valentin Fuster; John E Postley; Mark Woodward; Zahi A Fayad
Journal:  J Cardiovasc Magn Reson       Date:  2009-04-24       Impact factor: 5.364

10.  High resolution carotid black-blood 3T MR with parallel imaging and dedicated 4-channel surface coils.

Authors:  Tobias Saam; Jose G Raya; Clemens C Cyran; Katja Bochmann; Georgios Meimarakis; Olaf Dietrich; Dirk A Clevert; Ute Frey; Chun Yuan; Thomas S Hatsukami; Abe Werf; Maximilian F Reiser; Konstantin Nikolaou
Journal:  J Cardiovasc Magn Reson       Date:  2009-10-27       Impact factor: 5.364

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