Literature DB >> 16498089

Improving diagnostic accuracy of MDCT coronary angiography in patients with mild heart rhythm irregularities using ECG editing.

Filippo Cademartiri1, Nico R Mollet, Giuseppe Runza, Timo Baks, Massimo Midiri, Eugene P McFadden, Thomas G Flohr, Bernd Ohnesorge, Pim J de Feyter, Gabriel P Krestin.   

Abstract

OBJECTIVE: The objective of our study was to compare diagnostic accuracy of MDCT coronary angiography in a population of patients with mild heart rhythm irregularities before and after editing the ECG. SUBJECTS AND METHODS: Thirty-eight patients who underwent MDCT coronary angiography and conventional coronary angiography were enrolled in the study. The inclusion criterion was the presence of mild heart rhythm irregularities (i.e., premature beats; atrial fibrillation; mistriggering; or low heart rate, defined as 40 beats per minute or less) during the scan. All patients underwent MDCT with the following parameters: 16 detectors; collimation, 0.75 mm; gantry rotation time, 375 msec; 120 kV; and effective milliampere-second setting, 500-600. Images were reconstructed in two settings: before ECG editing and after ECG editing (i.e., arbitrary modification of temporal windows within the cardiac cycle at the site of mild heart rhythm irregularities). Data sets were scored for the presence of significant stenoses (> or = 50% lumen reduction) in coronary segments > or = 2 mm diameter. The results of the two groups were compared with a McNemar test, and a p value of less than 0.05 was considered significant.
RESULTS: The sensitivity, specificity, and negative and positive predictive values of MDCT coronary angiography for the detection of significant stenoses before and after ECG editing were 63% (41/65) and 92% (78/85); 97% (251/260) and 96% (305/317); 87% (62/71) and 87% (81/93); 91% (251/275) and 97% (305/313), respectively (p < 0.05). The proportion of nonassessable segments was reduced from 17% (70/416) before ECG editing to 2% (10/416) after.
CONCLUSION: ECG editing significantly improves diagnostic accuracy in a selected population of patients with mild heart rate irregularities.

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Year:  2006        PMID: 16498089     DOI: 10.2214/AJR.04.1797

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  15 in total

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Review 2.  Multislice CT coronary angiography: how to do it and what is the current clinical performance?

Authors:  Filippo Cademartiri; Joanne D Schuijf; Nico R Mollet; Patrizia Malagutti; Giuseppe Runza; Jeroen J Bax; Pim J de Feyter
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6.  320-detector row CT coronary angiography: effects of heart rate and heart rate variability on image quality, diagnostic accuracy and radiation exposure.

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7.  Patient characteristics as predictors of image quality and diagnostic accuracy of MDCT compared with conventional coronary angiography for detecting coronary artery stenoses: CORE-64 Multicenter International Trial.

Authors:  Marc Dewey; Andrea L Vavere; Armin Arbab-Zadeh; Julie M Miller; Leonardo Sara; Christopher Cox; Ilan Gottlieb; Kunihiro Yoshioka; Narinder Paul; John Hoe; Albert de Roos; Albert C Lardo; Joao A Lima; Melvin E Clouse
Journal:  AJR Am J Roentgenol       Date:  2010-01       Impact factor: 3.959

8.  Impact of PVCs noted during coronary calcium scan on image quality and accuracy in subsequent coronary dual-source CT angiography.

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Journal:  Int J Cardiovasc Imaging       Date:  2010-09-11       Impact factor: 2.357

9.  Feasibility of contrast material volume reduction in coronary artery imaging using 320-slice volume CT.

Authors:  Patrick A Hein; Juliane May; Patrik Rogalla; Craig Butler; Bernd Hamm; Alexander Lembcke
Journal:  Eur Radiol       Date:  2009-12-17       Impact factor: 5.315

10.  Computed tomography coronary angiography with a consistent dose below 2 mSv using double prospectively ECG-triggered high-pitch spiral acquisition in patients with atrial fibrillation: initial experience.

Authors:  Qi Wang; Jing Qin; Bai He; Yin Zhou; Jun-jie Yang; Xiao-ling Hou; Xiao-bo Yang; Jiu-hong Chen; Yun-dai Chen
Journal:  Int J Cardiovasc Imaging       Date:  2013-03-08       Impact factor: 2.357

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