Literature DB >> 14691045

Detection of calcified and noncalcified coronary atherosclerotic plaque by contrast-enhanced, submillimeter multidetector spiral computed tomography: a segment-based comparison with intravascular ultrasound.

Stephan Achenbach1, Fabian Moselewski, Dieter Ropers, Maros Ferencik, Udo Hoffmann, Briain MacNeill, Karsten Pohle, Ulrich Baum, Katharina Anders, Ik-kyung Jang, Werner G Daniel, Thomas J Brady.   

Abstract

BACKGROUND: We investigated the ability of multidetector spiral computed tomography (MDCT) to detect atherosclerotic plaque in nonstenotic coronary arteries. METHODS AND
RESULTS: In 22 patients without significant coronary stenoses, contrast-enhanced MDCT (0.75-mm collimation, 420-ms rotation) and intravascular ultrasound (IVUS) of one coronary artery were performed. A total of 83 coronary segments were imaged by IVUS (left main, 19; left anterior descending, 51; left circumflex, 4; right coronary, 9). MDCT data sets were evaluated for the presence and volume of plaque in the coronary artery segments. Results were compared with IVUS in a blinded fashion. For the detection of segments with any plaque, MDCT had a sensitivity of 82% (41 of 50) and specificity of 88% (29 of 33). For calcified plaque, sensitivity was 94% (33 of 36) and specificity 94% (45 of 47). Coronary segments containing noncalcified plaque were detected with a sensitivity of 78% (35 of 45) and specificity of 87% (33 of 38), but presence of exclusively noncalcified plaque was detected with only 53% sensitivity (8 of 15). If analysis was limited to the 41 proximal segments (segments 1, 5, 6, and 11 according to American Heart Association classification), sensitivity and specificity were 92% and 88% for any plaque, 95% and 91% for calcified plaque, and 91% and 89% for noncalcified plaque. MDCT substantially underestimated plaque volume per segment as compared with IVUS (24+/-35 mm3 versus 43+/-60 mm3, P<0.001).
CONCLUSIONS: The results indicate the potential of MDCT to detect coronary atherosclerotic plaque in patients without significant coronary stenoses. However, further improvements in image quality will be necessary to achieve reliable assessment, especially of noncalcified plaque throughout the coronary tree.

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Year:  2003        PMID: 14691045     DOI: 10.1161/01.CIR.0000111517.69230.0F

Source DB:  PubMed          Journal:  Circulation        ISSN: 0009-7322            Impact factor:   29.690


  213 in total

1.  High-risk coronary plaque at coronary CT angiography is associated with nonalcoholic fatty liver disease, independent of coronary plaque and stenosis burden: results from the ROMICAT II trial.

Authors:  Stefan B Puchner; Michael T Lu; Thomas Mayrhofer; Ting Liu; Amit Pursnani; Brian B Ghoshhajra; Quynh A Truong; Stephen D Wiviott; Jerome L Fleg; Udo Hoffmann; Maros Ferencik
Journal:  Radiology       Date:  2014-11-04       Impact factor: 11.105

Review 2.  Understanding the genetics of coronary artery disease through the lens of noninvasive imaging.

Authors:  Eunice Yang; Jose D Vargas; David A Bluemke
Journal:  Expert Rev Cardiovasc Ther       Date:  2012-01

3.  Characterisation of non-calcified coronary plaque by 16-slice multidetector computed tomography: comparison with histopathological specimens obtained by directional coronary atherectomy.

Authors:  Shigeki Kimura; Taishi Yonetsu; Keiko Suzuki; Mitsuaki Isobe; Yoshito Iesaka; Tsunekazu Kakuta
Journal:  Int J Cardiovasc Imaging       Date:  2011-12-07       Impact factor: 2.357

4.  Interobserver agreement for the detection of atherosclerotic plaque in coronary CT angiography: comparison of two low-dose image acquisition protocols with standard retrospectively ECG-gated reconstruction.

Authors:  Annika Schuhbäck; Mohamed Marwan; Sören Gauss; Gerd Muschiol; Dieter Ropers; Christian Schneider; Michael Lell; Johannes Rixe; Christian Hamm; Werner G Daniel; Stephan Achenbach
Journal:  Eur Radiol       Date:  2012-03-27       Impact factor: 5.315

Review 5.  The role of non-invasive imaging in patients with suspected acute coronary syndrome.

Authors:  C Roobottom; G Mitchell; S Iyengar
Journal:  Br J Radiol       Date:  2011-12       Impact factor: 3.039

6.  Coronary plaque imaging with 256-slice multidetector computed tomography: interobserver variability of volumetric lesion parameters with semiautomatic plaque analysis software.

Authors:  Oliver Klass; Susanne Kleinhans; Matthew J Walker; Mark Olszewski; Sebastian Feuerlein; Markus Juchems; Martin H K Hoffmann
Journal:  Int J Cardiovasc Imaging       Date:  2010-03-26       Impact factor: 2.357

7.  Effect of reader experience on variability, evaluation time and accuracy of coronary plaque detection with computed tomography coronary angiography.

Authors:  Stefan C Saur; Hatem Alkadhi; Paul Stolzmann; Stephan Baumüller; Sebastian Leschka; Hans Scheffel; Lotus Desbiolles; Thomas J Fuchs; Gábor Székely; Philippe C Cattin
Journal:  Eur Radiol       Date:  2010-01-30       Impact factor: 5.315

8.  From stenosis imaging to functional imaging: a new horizon of coronary computed tomography.

Authors:  Jin-Ho Choi; Yeon Hyeon Choe; James K Min
Journal:  Int J Cardiovasc Imaging       Date:  2010-11-23       Impact factor: 2.357

9.  Presence and extent of coronary artery disease by cardiac computed tomography and risk for acute coronary syndrome in cocaine users among patients with chest pain.

Authors:  Fabian Bamberg; Christopher L Schlett; Quynh A Truong; Ian S Rogers; Wolfgang Koenig; John T Nagurney; Sujith Seneviratne; Sam J Lehman; Ricardo C Cury; Suhny Abbara; Javed Butler; Hang Lee; Thomas J Brady; Udo Hoffmann
Journal:  Am J Cardiol       Date:  2008-12-26       Impact factor: 2.778

10.  Coronary plaque quantification by voxel analysis: dual-source MDCT angiography versus intravascular sonography.

Authors:  Harald Brodoefel; Christof Burgstahler; Adeel Sabir; Chun-Shan Yam; Faisal Khosa; Claus D Claussen; Melvin E Clouse
Journal:  AJR Am J Roentgenol       Date:  2009-03       Impact factor: 3.959

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