TY - JOUR
T1 - Quantitative analysis of 1.5-T whole-heart coronary MR angiograms obtained with 32-Channel cardiac coils
T2 - A comparison with conventional quantitative coronary angiography
AU - Yonezawa, Masato
AU - Nagata, Motonori
AU - Kitagawa, Kakuya
AU - Kato, Shingo
AU - Yoon, Yeonyee
AU - Nakajima, Hiroshi
AU - Nakamori, Shiro
AU - Sakuma, Hajime
AU - Hatakenaka, Masamitsu
AU - Honda, Hiroshi
PY - 2014/5
Y1 - 2014/5
N2 - Purpose: To develop a method to determine significant stenosis at wholeheart coronary magnetic resonance (MR) angiography and to evaluate the accuracy and reproducibility of this approach. Materials and Methods: The institutional review board approved the study, and all participants provided written informed consent. Sixty-two patients who were suspected of having coronary artery disease (CAD) and were scheduled for conventional coronary angiography were included. Coronary MR angiography was performed by using a 1.5-T imager with 32-channel coils. Luminal narrowing was evaluated with quantitative analysis (QA) of coronary MR angiograms on the basis of the signal intensity profile along the vessel. Percentage stenosis with QA of coronary MR angiograms was calculated as [1 - (SImin/SIref)] × 100, where SImin is minimal signal intensity and SIref is corresponding reference signal intensity. Diagnostic performance of QA of coronary MR angiograms for predicting at least a 50% reduction in diameter was evaluated by using quantitative coronary angiography (QCA), with conventional angiography findings serving as the reference standard. Receiver operating characteristic (ROC) analysis, Spearman rank correlation, Bland-Altman analysis, and Cohen κ analysis were used. Results: The areas under the ROC curve in a segment-based analysis for detecting significant CAD were 0.96 (95% confidence interval [CI]: 0.94, 0.98) with QA of coronary MR angiograms and 0.93 (95% CI: 0.88, 0.98) with visual assessment. The correlation coefficients between percentage stenosis with QA of coronary MR angiograms and percentage stenosis with QCA were 0.84 (P < .001), 0.80 (P < .001), and 0.66 (P < .001) in the patient-, vessel-, and segment-based analyses, respectively. Conclusion: QA of coronary MR angiograms with use of a signal intensity profile along the vessel permits detection of CAD. This method had a diagnostic performance approximately equal to that of visual analysis of coronary MR angiograms with high inter- and intraobserver reliability, allowing for more objective interpretation of coronary MR angiography findings.
AB - Purpose: To develop a method to determine significant stenosis at wholeheart coronary magnetic resonance (MR) angiography and to evaluate the accuracy and reproducibility of this approach. Materials and Methods: The institutional review board approved the study, and all participants provided written informed consent. Sixty-two patients who were suspected of having coronary artery disease (CAD) and were scheduled for conventional coronary angiography were included. Coronary MR angiography was performed by using a 1.5-T imager with 32-channel coils. Luminal narrowing was evaluated with quantitative analysis (QA) of coronary MR angiograms on the basis of the signal intensity profile along the vessel. Percentage stenosis with QA of coronary MR angiograms was calculated as [1 - (SImin/SIref)] × 100, where SImin is minimal signal intensity and SIref is corresponding reference signal intensity. Diagnostic performance of QA of coronary MR angiograms for predicting at least a 50% reduction in diameter was evaluated by using quantitative coronary angiography (QCA), with conventional angiography findings serving as the reference standard. Receiver operating characteristic (ROC) analysis, Spearman rank correlation, Bland-Altman analysis, and Cohen κ analysis were used. Results: The areas under the ROC curve in a segment-based analysis for detecting significant CAD were 0.96 (95% confidence interval [CI]: 0.94, 0.98) with QA of coronary MR angiograms and 0.93 (95% CI: 0.88, 0.98) with visual assessment. The correlation coefficients between percentage stenosis with QA of coronary MR angiograms and percentage stenosis with QCA were 0.84 (P < .001), 0.80 (P < .001), and 0.66 (P < .001) in the patient-, vessel-, and segment-based analyses, respectively. Conclusion: QA of coronary MR angiograms with use of a signal intensity profile along the vessel permits detection of CAD. This method had a diagnostic performance approximately equal to that of visual analysis of coronary MR angiograms with high inter- and intraobserver reliability, allowing for more objective interpretation of coronary MR angiography findings.
UR - http://www.scopus.com/inward/record.url?scp=84899515696&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84899515696&partnerID=8YFLogxK
U2 - 10.1148/radiol.13122491
DO - 10.1148/radiol.13122491
M3 - Article
C2 - 24475794
AN - SCOPUS:84899515696
SN - 0033-8419
VL - 271
SP - 356
EP - 364
JO - Radiology
JF - Radiology
IS - 2
ER -