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A study on diagnostic performance of 3.0 T non-contrast-enhanced Dixon water-fat separation compressed SENSE whole-heart coronary MR angiography / 中华放射学杂志
Chinese Journal of Radiology ; (12): 1051-1057, 2022.
Article in Chinese | WPRIM | ID: wpr-956757
ABSTRACT

Objective:

To evaluate the diagnostic performance of non-contrast-enhanced Dixon water-fat separation Compressed SENSE (CS-SENSE) whole-heart coronary magnetic resonance angiography (CMRA) at 3.0 T on patients with suspected coronary artery disease (CAD).

Method:

The study complied with the Declaration of Helsinki. Local ethics committee approved this study and written informed consent was obtained from each patient. In this prospective study, from March 2021 to September 2021, 53 consecutive participants with suspected CAD who were scheduled for X-ray coronary angiography (CAG) were prospectively recruited in Zhongshan Hospital. CMRA was performed with a 3.0 T scanner without contrast agent enhancement during free breathing with Dixon water-fat separation and CS-SENSE methods. The accuracy of CMRA for detecting a ≥ 50% reduction in diameter was determined using CAG as the reference method.

Results:

Acquisition of whole-heart CMRA images was successfully performed in 46 (86.8%) of 53 patients with an average imaging time of (7.8±1.8) min. The sensitivity, specificity, positive predictive values, negative predictive values, and accuracy of CMRA according to a patient-based analysis were 95.8%(95%CI 78.9%-99.9%), 81.8%(95%CI 59.7%-94.8%), 85.2%(95%CI 66.3%-95.8%), 94.7%(95%CI 74.0%-99.9%), 89.1%(95%CI 76.4%-96.4%), respectively. The areas under the receiver-operator characteristic curve (AUC) from CMRA images according to patient-, vessel-and segment-based analyses were 0.876(95%CI 0.745-0.955), 0.880(95%CI 0.814-0.929), 0.903(95%CI 0.877-0.926), respectively.

Conclusion:

3.0 T non-contrast-enhanced Dixon water-fat separation CS-SENSE whole-heart CMRA is a promising technique to detect clinically significant coronary stenosis on patients with suspected CAD.

Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Chinese Journal of Radiology Year: 2022 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Chinese Journal of Radiology Year: 2022 Type: Article