18F-sodium fluoride positron emission tomography for molecular imaging of coronary atherosclerosis based on computed tomography analysis
18F-sodium fluoride positron emission tomography for molecular imaging of coronary atherosclerosis based on computed tomography analysis
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DOI:
10.1016/j.atherosclerosis.2017.04.024
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发表时间:
2017-08-01
期刊:
影响因子:
5.3
通讯作者:
Kihara, Yasuki
中科院分区:
文献类型:
--
作者:
Kitagawa, Toshiro;Yamamoto, Hideya;Kihara, Yasuki
Background and aims: We aimed at evaluating the relation of F-18-sodium fluoride (F-18-NaF) uptake on positron emission tomography (PET) to coronary atherosclerosis detected and assessed by computed tomography (CT).Methods: Thirty-two patients with one or more coronary atherosclerotic lesions detected on cardiac CT underwent F-18-NaF PET/CT. Each coronary atherosclerotic lesion was evaluated on CT angiography for plaque types (calcified plaque [CP], non-calcified plaque [NCP], partially calcified plaque [PCP]), and the presence of CT-based high-risk features (minimum CT density 1.1). Focal F-18-NaF uptake of each lesion was quantified using maximum tissue-to-background ratio (TBRmax).Results: A total of 111 lesions were studied. In a patient-based analysis, logarithmically transformed coronary calcium score correlated positively with maximum TBRmax per patient, and 15 patients with myocardial infarction or unstable angina history showed a higher maximum TBRmax per patient than those without (1.36 +/- 0.15 versus 1.15 +/- 0.15, p = 0.0006). In a lesion-based analysis, PCP showed a higher TBRmax than CP and NCP (1.17 +/- 0.19 versus 1.00 +/- 0.24 and 0.92 +/- 0.18, respectively, p < 0.0001), and the lesions with high-risk features had a higher TBRmax than those without (1.20 +/- 0.21 versus 1.02 +/- 0.20, p = 0.0011).Conclusions: Coronary arterial F-18-NaF uptake is related to total plaque burden, coronary event history, and specific features of coronary atherosclerosis based on CT analysis. F-18-NaF PET/CT, in combination with cardiac CT, may provide a new molecular imaging approach to identify high-risk patients and coronary atherosclerotic lesions. (C) 2017 Elsevier B.V. All rights reserved.