Literature DB >> 19716249

In vitro measurement of CT density and estimation of stenosis related to coronary soft plaque at 100 kV and 120 kV on ECG-triggered scan.

Jun Horiguchi1, Chikako Fujioka, Masao Kiguchi, Hideya Yamamoto, Yun Shen, Yasuki Kihara.   

Abstract

PURPOSE: The purpose of the study was to compare 100 kV and 120 kV prospective electrocardiograph (ECG)-triggered axial coronary 64-detector CT angiography (64-MDCTA) in soft plaque diagnosis.
MATERIALS AND METHODS: Coronary artery models (n = 5) with artificial soft plaques (-32 HU to 53 HU at 120 kV) with three stenosis levels (25%, 50% and 75%) on a cardiac phantom (mimicking slim patient's environment) were scanned in heart rates of 55, 60 and 65 beats per minute (bpm). Four kinds of intracoronary enhancement (205 HU, 241 HU, 280 HU and 314 HU) were simulated. The soft plaque density and the measurement error of stenosis (in percentage), evaluated by two independent observers, were compared between 100 kV and 120 kV. The radiation dose was estimated.
RESULTS: Interobserver correlation of the measurement was excellent (density; r = 0.95 and stenosis measure; r = 0.97). Neither the density of soft plaque nor the measurement error of stenosis was different between 100 kV and 120 kV (p = 0.22 and 0.08). The estimated radiation doses were 2.0 mSv and 3.3 mSv (in 14 cm coverage) on 100 kV and 120 kV prospective ECG-triggered axial scans, respectively.
CONCLUSION: The 100 kV prospective ECG-triggered coronary MDCTA has comparable performance to 120 kV coronary CTA in terms of soft plaque densitometry and measurement of stenosis, with a reduced effective dose of 2 mSv.
Copyright © 2009 Elsevier Ireland Ltd. All rights reserved.

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Year:  2009        PMID: 19716249     DOI: 10.1016/j.ejrad.2009.08.002

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  5 in total

1.  Automatic quantification and characterization of coronary atherosclerosis with computed tomography coronary angiography: cross-correlation with intravascular ultrasound virtual histology.

Authors:  Michiel A de Graaf; Alexander Broersen; Pieter H Kitslaar; Cornelis J Roos; Jouke Dijkstra; Boudewijn P F Lelieveldt; J Wouter Jukema; Martin J Schalij; Victoria Delgado; Jeroen J Bax; Johan H C Reiber; Arthur J Scholte
Journal:  Int J Cardiovasc Imaging       Date:  2013-02-16       Impact factor: 2.357

2.  Impact of luminal density on plaque classification by CT coronary angiography.

Authors:  Maiken Glud Dalager; Morten Bøttcher; Gratien Andersen; Jesper Thygesen; Erik Morre Pedersen; Lone Dejbjerg; Ole Gøtzsche; Hans Erik Bøtker
Journal:  Int J Cardiovasc Imaging       Date:  2010-09-05       Impact factor: 2.357

3.  Fabrication and control of CT number through polymeric composites based on coronary plaque CT phantom applications.

Authors:  Carlton F O Hoy; Hani E Naguib; Narinder Paul
Journal:  J Med Imaging (Bellingham)       Date:  2016-02-18

Review 4.  Plaque assessment by coronary CT.

Authors:  Bálint Szilveszter; Csilla Celeng; Pál Maurovich-Horvat
Journal:  Int J Cardiovasc Imaging       Date:  2015-08-18       Impact factor: 2.357

5.  A meta analysis and hierarchical classification of HU-based atherosclerotic plaque characterization criteria.

Authors:  Wisnumurti Kristanto; Peter M A van Ooijen; Marijke C Jansen-van der Weide; Rozemarijn Vliegenthart; Matthijs Oudkerk
Journal:  PLoS One       Date:  2013-09-03       Impact factor: 3.240

  5 in total

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