Static CT myocardial perfusion imaging: image quality, artifacts including distribution and diagnostic performance compared to 82Rb PET

被引:4
作者
Inacio, Joao R. [1 ,2 ]
Srinivasan, Sriraag Balaji [3 ]
Ruddy, Terrence D. [4 ]
DeKemp, Robert A. [4 ]
Rybicki, Frank [5 ,6 ]
Beanlands, Rob S. [4 ]
Chow, Benjamin J. W. [1 ,4 ]
Dwivedi, Girish [3 ,4 ,7 ,8 ]
机构
[1] Univ Ottawa, Univ Ottawa Res Inst, Ottawa Hosp, Dept Radiol, Ottawa, ON, Canada
[2] Ctr Hosp Univ Lisboa Norte, Lisbon, Portugal
[3] Univ Western Australia, Med Sch, Harry Perkins Inst Med Res, Perth, WA, Australia
[4] Univ Ottawa Heart Inst, Dept Med, Div Cardiol, Ottawa, ON, Canada
[5] Univ Cincinnati, Dept Radiol, Cincinnati, OH USA
[6] Imagia, Montreal, PQ, Canada
[7] Harry Perkins Inst Med Res, Dept Adv Clin & Translat Cardiovasc Imaging, Murdoch, WA, Australia
[8] Fiona Stanley Hosp, Murdoch, WA, Australia
来源
EUROPEAN JOURNAL OF HYBRID IMAGING | 2022年 / 6卷 / 01期
关键词
Computed tomography; Ischemia; Myocardial perfusion imaging; Rubidium positron emission tomography; CORONARY-ARTERY-DISEASE; FRACTIONAL FLOW RESERVE; POSITRON-EMISSION-TOMOGRAPHY; MULTIDETECTOR COMPUTED-TOMOGRAPHY; CARDIAC MAGNETIC-RESONANCE; MEDICAL THERAPY; ANGIOGRAPHY; STRESS; SEVERITY; REST;
D O I
10.1186/s41824-021-00118-x
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
Background Rubidium-82 positron emission tomography (Rb-82 PET) MPI is considered a noninvasive reference standard for the assessment of myocardial perfusion in coronary artery disease (CAD) patients. Our main goal was to compare the diagnostic performance of static rest/ vasodilator stress CT myocardial perfusion imaging (CT-MPI) to stress/ rest Rb-82 PET-MPI for the identification of myocardial ischemia. Methods Forty-four patients with suspected or diagnosed CAD underwent both static CT-MPI and Rb-82 PET-MPI at rest and during pharmacological stress. The extent and severity of perfusion defects on PET-MPI were assessed to obtain summed stress score, summed rest score, and summed difference score. The extent and severity of perfusion defects on CT-MPI was visually assessed using the same grading scale. CT-MPI was compared with PET-MPI as the gold standard on a per-territory and a per-patient basis. Results On a per-patient basis, there was moderate agreement between CT-MPI and PET-MPI with a weighted 0.49 for detection of stress induced perfusion abnormalities. Using PET-MPI as a reference, static CT-MPI had 89% sensitivity (SS), 58% specificity (SP), 71% accuracy (AC), 88% negative predictive value (NPV), and 59% positive predictive value (PPV) to diagnose stress-rest perfusion deficits on a per-patient basis. On a per-territory analysis, CT-MPI had 73% SS, 65% SP, 67% AC, 90.8% NPV, and 34% PPV to diagnose perfusion deficits. Conclusions CT-MPI has high sensitivity and good overall accuracy for the diagnosis of functionally significant CAD using Rb-82 PET-MPI as the reference standard. CT-MPI may play an important role in assessing the functional significance of CAD especially in combination with CCTA.
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