Navigator echo-based respiratory gating for three-dimensional MR coronary angiography: results from healthy volunteers and patients with proximal coronary artery stenoses.
OBJECTIVE
The purpose of our study was to investigate the value of respiratory-gated three-dimensional (3D) MR angiography in identifying coronary arteries in healthy volunteers and in patients with proximal coronary artery stenosis and to compare the results with those of conventional coronary angiography.


METHODS
Twenty healthy volunteers and 20 patients with coronary artery stenosis were examined on a 1.5-T scanner with a retrospectively respiratory-gated 3D gradient-echo sequence. Visualization of the main coronary arteries was analyzed after curved multiplanar reconstructions. A six-point grading system was used to evaluate 400 vessel segments. The assessment of stenosis was performed by two observers who were unaware of the results of conventional coronary angiography.


RESULTS
The proximal, middle, and distal segments of the coronary arteries were completely identified with or without luminal irregularities in 55%, 47%, and 20%, respectively, of the healthy volunteers. For the 20 patients, results were 69%, 44%, and 20%, respectively. For the assessment of coronary artery stenoses (n = 53), sensitivity was 73% and specificity was 50% after evaluation of the MR angiograms of all patients. A sensitivity of 79% and a specificity of 54% were found for evaluation of the MR coronary angiograms, with an image quality score of at least 3 (i.e., artery segments completely identified with major luminal irregularities).


CONCLUSIONS
With the navigator echo MR imaging technique, a complete 3D visualization of the main coronary arteries was possible in cases with high image quality. However, further experience with and improvement of the navigator echo technique we used is necessary for reliable assessment of coronary artery stenosis.
Huber
A
A
Department of Diagnostic Radiology, Klinikum Grosshadern, Institut für Radiologische Diagnostik, Ludwig-Maximilians-Universität-München, Munich, Germany.
Nikolaou
K
K
Gonschior
P
P
Knez
A
A
Stehling
M
M
Reiser
M
M
D000328:Adult; D000368:Aged; D017023:Coronary Angiography; D003327:Coronary Disease / Q000175:diagnosis* / Q000000981:diagnostic imaging; D003331:Coronary Vessels / Q000473:pathology*; D006801:Humans; D007091:Image Processing, Computer-Assisted; D018810:Magnetic Resonance Angiography / Q000379:methods*; D015588:Observer Variation; D012189:Retrospective Studies; D012680:Sensitivity and Specificity