Detection of Myocardial Ischemia by Automated, Motion-Corrected, Color-Encoded Perfusion Maps Compared With Visual Analysis of Adenosine Stress Cardiovascular Magnetic Resonance Imaging at 3 T A Pilot Study
被引:3
作者:
Doesch, Christina
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Heidelberg Univ, Dept Med 1, Univ Med Ctr Mannheim, Med Fac Mannheim, D-68167 Mannheim, GermanyHeidelberg Univ, Dept Med 1, Univ Med Ctr Mannheim, Med Fac Mannheim, D-68167 Mannheim, Germany
Doesch, Christina
[1
]
Papavassiliu, Theano
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Heidelberg Univ, Dept Med 1, Univ Med Ctr Mannheim, Med Fac Mannheim, D-68167 Mannheim, GermanyHeidelberg Univ, Dept Med 1, Univ Med Ctr Mannheim, Med Fac Mannheim, D-68167 Mannheim, Germany
Papavassiliu, Theano
[1
]
Michaely, Henrik J.
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机构:
Heidelberg Univ, Dept Clin Radiol & Nucl Med, Univ Med Ctr Mannheim, Med Fac Mannheim, D-68167 Mannheim, GermanyHeidelberg Univ, Dept Med 1, Univ Med Ctr Mannheim, Med Fac Mannheim, D-68167 Mannheim, Germany
Michaely, Henrik J.
[2
]
Attenberger, Ulrike I.
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Heidelberg Univ, Dept Clin Radiol & Nucl Med, Univ Med Ctr Mannheim, Med Fac Mannheim, D-68167 Mannheim, GermanyHeidelberg Univ, Dept Med 1, Univ Med Ctr Mannheim, Med Fac Mannheim, D-68167 Mannheim, Germany
Attenberger, Ulrike I.
[2
]
Glielmi, Christopher
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机构:
Siemens Healthcare, Cardiovasc Magnet Resonance Res & Dev, Chicago, IL USAHeidelberg Univ, Dept Med 1, Univ Med Ctr Mannheim, Med Fac Mannheim, D-68167 Mannheim, Germany
Glielmi, Christopher
[3
]
Sueselbeck, Tim
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Heidelberg Univ, Dept Med 1, Univ Med Ctr Mannheim, Med Fac Mannheim, D-68167 Mannheim, GermanyHeidelberg Univ, Dept Med 1, Univ Med Ctr Mannheim, Med Fac Mannheim, D-68167 Mannheim, Germany
Sueselbeck, Tim
[1
]
Fink, Christian
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Heidelberg Univ, Dept Clin Radiol & Nucl Med, Univ Med Ctr Mannheim, Med Fac Mannheim, D-68167 Mannheim, GermanyHeidelberg Univ, Dept Med 1, Univ Med Ctr Mannheim, Med Fac Mannheim, D-68167 Mannheim, Germany
Fink, Christian
[2
]
Borggrefe, Martin
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Heidelberg Univ, Dept Med 1, Univ Med Ctr Mannheim, Med Fac Mannheim, D-68167 Mannheim, GermanyHeidelberg Univ, Dept Med 1, Univ Med Ctr Mannheim, Med Fac Mannheim, D-68167 Mannheim, Germany
Borggrefe, Martin
[1
]
Schoenberg, Stefan O.
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Heidelberg Univ, Dept Clin Radiol & Nucl Med, Univ Med Ctr Mannheim, Med Fac Mannheim, D-68167 Mannheim, GermanyHeidelberg Univ, Dept Med 1, Univ Med Ctr Mannheim, Med Fac Mannheim, D-68167 Mannheim, Germany
Schoenberg, Stefan O.
[2
]
机构:
[1] Heidelberg Univ, Dept Med 1, Univ Med Ctr Mannheim, Med Fac Mannheim, D-68167 Mannheim, Germany
[2] Heidelberg Univ, Dept Clin Radiol & Nucl Med, Univ Med Ctr Mannheim, Med Fac Mannheim, D-68167 Mannheim, Germany
[3] Siemens Healthcare, Cardiovasc Magnet Resonance Res & Dev, Chicago, IL USA
cardiovascular magnetic resonance imaging;
myocardial ischemia;
CA disease;
AMC color-encoded perfusion maps;
CORONARY-ARTERY-DISEASE;
MRI;
RESERVE;
ANGIOGRAPHY;
INFARCTION;
TESTS;
HEART;
TESLA;
D O I:
10.1097/RLI.0b013e31828c351a
中图分类号:
R8 [特种医学];
R445 [影像诊断学];
学科分类号:
1002 ;
100207 ;
1009 ;
摘要:
Purpose: The purpose of this study was to compare automated, motion-corrected, color-encoded (AMC) perfusion maps with qualitative visual analysis of adenosine stress cardiovascular magnetic resonance imaging for detection of flow-limiting stenoses. Materials and Methods: Myocardial perfusion measurements applying the standard adenosine stress imaging protocol and a saturation-recovery temporal generalized autocalibrating partially parallel acquisition (t-GRAPPA) turbo fast low angle shot (Turbo FLASH) magnetic resonance imaging sequence were performed in 25 patients using a 3.0-T MAGNETOM Skyra (Siemens Healthcare Sector, Erlangen, Germany). Perfusion studies were analyzed using AMC perfusion maps and qualitative visual analysis. Angiographically detected coronary artery (CA) stenoses greater than 75% or 50% or more with a myocardial perfusion reserve index less than 1.5 were considered as hemodynamically relevant. Diagnostic performance and time requirement for both methods were compared. Interobserver and intraobserver reliability were also assessed. Results: A total of 29 CA stenoses were included in the analysis. Sensitivity, specificity, positive predictive value, negative predictive value, and accuracy for detection of ischemia on a per-patient basis were comparable using the AMC perfusion maps compared to visual analysis. On a per-CA territory basis, the attribution of an ischemia to the respective vessel was facilitated using the AMC perfusion maps. Interobserver and intraobserver reliability were better for the AMC perfusion maps (concordance correlation coefficient, 0.94 and 0.93, respectively) compared to visual analysis (concordance correlation coefficient, 0.73 and 0.79, respectively). In addition, in comparison to visual analysis, the AMC perfusion maps were able to significantly reduce analysis time from 7.7 (3.1) to 3.2 (1.9) minutes (P < 0.0001). Conclusions: The AMC perfusion maps yielded a diagnostic performance on a per-patient and on a per-CA territory basis comparable with the visual analysis. Furthermore, this approach demonstrated higher interobserver and intraobserver reliability as well as a better time efficiency when compared to visual analysis.