Zhu Ziwei, Chang Zhi, Shi Xiaopeng, Xie Xiaofen, Li Quan, Meng Jingjing, Pi Yingfei, Cao Xue, Jiao Jian, Lu Xia, Zhou Yingsheng, Zhang Xiaoli
Abstract
ObjectiveTo evaluate the image quality (IQ) of 18F-fluorodeoxyglucose (FDG) PET/CT imaging and identify its influenfial factors in diabetes mellitus (DM) and non-DM patients with coronary artery disease (CAD).
MethodsA total of 196 consecutive CAD patients (174 males, 22 females, 68 DM; age: (57±10) years) in Beijing Anzhen Hospital between June 2016 and February 2018 were retrospectively analyzed. All patients underwent 18F-FDG myocardial PET/CT imaging. The standardized fasting+ oral glucose loading (OGL) and intravenously injection of insulin protocol was performed. According to the FDG uptake by myocardium, background activity in blood and other visceral organ nearby the heart, the IQ was visually evaluated and scored by 0-4. Zero-two was considered as good IQ, 3-4 was regarded as poor IQ. Patients were divided into three groups: group 1 (non-DM+ good IQ), group 2 (DM+ good IQ), group 3 (DM+ poor IQ). Factors which may affect IQ were analyzed, which including OGL, the injection dose of insulin, fasting blood glucose (FBG), peak blood glucose (PBG), blood glucose (BG) level at 18F-FDG injection (BGinjnection), BG increasing rate ((PBG-FBG)/FBG, %), and BG decreasing rate ((PBG-BGinjection)/PBG, %). One-way analysis of variance, Spearman correlation analysis and logistic regression analysis were used for data analysis.
ResultsThere were significant differences (F values: 13.074-38.371, all P<0.05) of FBG, PBG, OGL, BG decreasing rate and the injection dose of insulin among group 1 (n=132, 67.3%), group 2 (n=53, 27.1%), group 3 (n=11, 5.6%). All those parameters, except for OGL, were positively correlated with FDG PET/CT IQ (rs values: 0.142-0.262, all P<0.05). OGL was negatively correlated with IQ (rs=-0.324, P<0.05). Logistic regression analysis showed that FBG (odds ratio (OR)=0.687, 95% CI: 0.633-0.746), PBG(OR=0.786, 95% CI: 0.746~0.829), BGinjection(OR=0.631, 95% CI: 0.595-0.716), OGL(OR=0.897, 95% CI: 0.873-0.922), the injection dose of insulin(OR=0.680, 95% CI: 0.618-0.748) were predictive factors (all P<0.01) for good IQ in all patients. For DM patients, OGL was the only predictive factor for good IQ(OR =0.940, 95% CI: 0.904-0.960; P<0.01).
ConclusionsFBG, PBG, BGinjection, OGL, the injection dose of insulin can predict IQ for all patients with CAD. For DM patients with CAD, OGL is the only predictive factor for good IQ. A good IQ of 18F-FDG PET/CT could be obtained in majority of CAD patients, with the standardized fasting + OGL and intravenously injection of insulin protocol and adjust according to the personal status, and prevent the hypoglycemia from happening.
Key words:
Coronary artery disease; Diabetes mellitus; Positron-emission tomography; Tomography, X-ray computed; Deoxyglucose
Contributor Information
Zhu Ziwei
Department of Nuclear Medicine, Laboratory for Molecular Imaging, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China
Chang Zhi
Department of Nuclear Medicine, Laboratory for Molecular Imaging, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China
Shi Xiaopeng
Department of Endocrinology, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China
Xie Xiaofen
Department of Nuclear Medicine, Laboratory for Molecular Imaging, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China
Li Quan
Department of Nuclear Medicine, Laboratory for Molecular Imaging, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China
Meng Jingjing
Department of Nuclear Medicine, Laboratory for Molecular Imaging, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China
Pi Yingfei
Department of Nuclear Medicine, Laboratory for Molecular Imaging, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China
Cao Xue
Department of Nuclear Medicine, Laboratory for Molecular Imaging, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China
Jiao Jian
Department of Nuclear Medicine, Laboratory for Molecular Imaging, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China
Lu Xia
Department of Nuclear Medicine, Laboratory for Molecular Imaging, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China
Zhou Yingsheng
Department of Endocrinology, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China
Zhang Xiaoli
Department of Nuclear Medicine, Laboratory for Molecular Imaging, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China