Literature DB >> 18007157

The influence of heart rate, slice thickness, and calcification density on calcium scores using 64-slice multidetector computed tomography: a systematic phantom study.

Jaap M Groen1, Marcel J Greuter, Bernhard Schmidt, Christoph Suess, Rozemarijn Vliegenthart, Matthijs Oudkerk.   

Abstract

OBJECTIVE: The purpose of this study was to investigate the influence of heart rate, slice thickness, and calcification density on absolute value and variability of calcium score using 64-slice multidetector computed tomography (MDCT). METHODS AND MATERIALS: Three artificial arteries containing each 3 lesions with varying density were scanned using a moving cardiac phantom at rest and at 50 to 110 beats per minute (bpm) at 10-bpm intervals on a 64-slice MDCT. Images were reconstructed at slice thicknesses (increment) of 0.6 (0.4), 0.75 (0.5), 1.5 (1.5), and 3.0 (3.0) mm. The amount of calcium was expressed as an Agatston score, volume score, and equivalent mass.
RESULTS: Absolute coronary artery calcium (CAC) scores decreased [average -37% for low density calcification (LDC)] or increased [average +32% for high density calcification (HDC)] at heart rates over 60 bpm depending on slice thickness and scoring method. Thinner slice thicknesses yielded higher CAC scores. Variability of the CAC scores increased with increasing heart rates especially for low density calcifications (8% at rest vs. 50% at 110 bpm). Variability also increased for thicker slices (average 6% for 0.6 mm vs. 18% for 3.0 mm). Variability was lower for HDC compared with LDC (approximately 5% for HDC vs. 27% for LDC at 70 bpm, averaged over all methods and slice thicknesses).
CONCLUSION: CAC-scoring is strongly influenced by cardiac motion, calcification density, and slice thickness. CAC scores increase for high density calcifications and decrease for low density calcifications at increasing heart rates. Heart rate should be reduced on 64-slice MDCT to obtain a lower degree of variability of CAC-scoring, preferably below 70 bpm. A thinner slice thickness further enhances the reproducibility.

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Year:  2007        PMID: 18007157     DOI: 10.1097/RLI.0b013e318154c549

Source DB:  PubMed          Journal:  Invest Radiol        ISSN: 0020-9996            Impact factor:   6.016


  19 in total

1.  A method for calcium quantification by means of CT coronary angiography using 64-multidetector CT: very high correlation with Agatston and volume scores.

Authors:  Bernhard Glodny; Bettina Helmel; Thomas Trieb; Claudia Schenk; Bernadette Taferner; Verena Unterholzner; Alexander Strasak; Johannes Petersen
Journal:  Eur Radiol       Date:  2009-02-24       Impact factor: 5.315

2.  Coronary artery calcium screening: current status and recommendations from the European Society of Cardiac Radiology and North American Society for Cardiovascular Imaging.

Authors:  Matthijs Oudkerk; Arthur E Stillman; Sandra S Halliburton; Willi A Kalender; Stefan Möhlenkamp; Cynthia H McCollough; Rozemarijn Vliegenthart; Leslee J Shaw; William Stanford; Allen J Taylor; Peter M A van Ooijen; Lewis Wexler; Paolo Raggi
Journal:  Eur Radiol       Date:  2008-07-24       Impact factor: 5.315

3.  Accuracy and variability of right ventricular volumes and mass assessed by dual-source computed tomography: influence of slice orientation in comparison to magnetic resonance imaging.

Authors:  Christoph J Jensen; Alexander Wolf; Holger C Eberle; Michael Forsting; Kai Nassenstein; Thomas C Lauenstein; Georg V Sabin; Oliver Bruder; Thomas Schlosser
Journal:  Eur Radiol       Date:  2011-07-27       Impact factor: 5.315

4.  Impact of a new ultrafast CZT SPECT camera for myocardial perfusion imaging: fewer equivocal results and lower radiation dose.

Authors:  Mohamed Mouden; Jorik R Timmer; Jan Paul Ottervanger; Stoffer Reiffers; Ad H J Oostdijk; Siert Knollema; Pieter L Jager
Journal:  Eur J Nucl Med Mol Imaging       Date:  2012-03-17       Impact factor: 9.236

5.  Influence of iterative reconstruction on coronary calcium scores at multiple heart rates: a multivendor phantom study on state-of-the-art CT systems.

Authors:  N R van der Werf; M J Willemink; T P Willems; M J W Greuter; T Leiner
Journal:  Int J Cardiovasc Imaging       Date:  2017-12-28       Impact factor: 2.357

6.  Influence of heart rate on coronary calcium scores: a multi-manufacturer phantom study.

Authors:  N R van der Werf; M J Willemink; T P Willems; R Vliegenthart; M J W Greuter; T Leiner
Journal:  Int J Cardiovasc Imaging       Date:  2017-12-28       Impact factor: 2.357

Review 7.  Calcification in atherosclerosis.

Authors:  Nikolaos Alexopoulos; Paolo Raggi
Journal:  Nat Rev Cardiol       Date:  2009-09-29       Impact factor: 32.419

8.  Radiation dose values for various coronary calcium scoring protocols in dual-source CT.

Authors:  Paul Stolzmann; Sebastian Leschka; Thomas Betschart; Lotus Desbiolles; Thomas G Flohr; Borut Marincek; Hatem Alkadhi
Journal:  Int J Cardiovasc Imaging       Date:  2008-12-12       Impact factor: 2.357

9.  Coronary calcium mass scores measured by identical 64-slice MDCT scanners are comparable: a cardiac phantom study.

Authors:  Hildebrand Dijkstra; Marcel J W Greuter; Jaap M Groen; Rozemarijn Vliegenthart-Proença; Klaasjan W K Renema; Frank de Lange; Matthijs Oudkerk
Journal:  Int J Cardiovasc Imaging       Date:  2009-09-19       Impact factor: 2.357

10.  Assessment of coronary artery calcium by using volumetric 320-row multi-detector computed tomography: comparison of 0.5 mm with 3.0 mm slice reconstructions.

Authors:  Noortje van der Bijl; Paul W de Bruin; Jacob Geleijns; Jeroen J Bax; Joanne D Schuijf; Albert de Roos; Lucia J M Kroft
Journal:  Int J Cardiovasc Imaging       Date:  2010-01-14       Impact factor: 2.357

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