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Meeting ReportCardiovascular

Assessment of the metabolic heart-brain axis with cardiac and brain 18F-FDG PET/CT imaging in patients with heart failure

Mingkai Yun, Binbin Nie, Hua Liu, Xia Lu, Xiaofen Xie, Shaoping Nie, Yongxiang Wei, Marcus Hacker, Baoci Shan, Heinrich Schelbert, Xiaoli Zhang and Xiang Li
Journal of Nuclear Medicine May 2020, 61 (supplement 1) 91;
Mingkai Yun
1Department of Nuclear Medicine Beijing Anzhen Hospital Beijing China
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Binbin Nie
2Institute of High Energy Physics, Chinese Academy of Sciences Beijing China
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Hua Liu
2Institute of High Energy Physics, Chinese Academy of Sciences Beijing China
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Xia Lu
1Department of Nuclear Medicine Beijing Anzhen Hospital Beijing China
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Xiaofen Xie
1Department of Nuclear Medicine Beijing Anzhen Hospital Beijing China
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Shaoping Nie
3Department of Cardiology Beijing Anzhen Hospital Beijing China
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Yongxiang Wei
4Beijing Anzhen Hospital Beijing China
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Marcus Hacker
5Medical University of Vienna Vienna Austria
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Baoci Shan
2Institute of High Energy Physics, Chinese Academy of Sciences Beijing China
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Heinrich Schelbert
6Department of Molecular and Medical Pharmacology David Geffen School of Medicine at UCLA Los Angeles CA United States
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Xiaoli Zhang
1Department of Nuclear Medicine Beijing Anzhen Hospital Beijing China
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Xiang Li
5Medical University of Vienna Vienna Austria
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Abstract

91

Objectives: In this study, we aimed to evaluate the cerebral metabolism in patients with heart failure (HF) to determine the correlation between myocardial phenotypic characterization and cerebral metabolic activity.

Methods: Eighty-three HF patients were prospectively enrolled. All participants underwent gated 99mTc-sestamibi single photon emission computed tomography (SPECT)/CT myocardial perfusion imaging, also cardiac and cerebral 18F-fluorodeoxyglucose (FDG) positron emission tomography (PET)/CT. Fifteen healthy volunteers underwent cerebral FDG PET/CT imaging served as controls. Patients were stratified by extent of hibernating myocardium (HM) and left ventricular ejection fraction (LVEF) into 3 subgroups, group1: HM < 10% (n = 33); group2: HM ≥ 10%, LVEF < 25% (n = 34); group3: HM ≥ 10%, 25% ≤ LVEF ≤ 40% (n = 16). Cerebral metabolism expressed as the standardized uptake value (SUV) in the whole brain (SUVwhole-brain) and the SUV ratios (SUVR) corrected by cerebellar activity in 24 cognition related brain regions were determined. The relationship between cardiac imaging features and brain metabolism was assessed. Differences in brain metabolism between 3 subgroups of the patients and healthy volunteers were compared.

Results: The SUVwhole-brain (r = 0.28, P < 0.05) and SUVRs in frontal areas, hippocampus and para-hippocampus (range of r value: 0.23 to 0.40, all P < 0.05) was associated with the extent of HM. Whole brain metabolic uptake (SUVwhole-brain)in group 1 was significantly lower than that in healthy volunteers, whereas not differ among three patients-groups (P > 0.05). In comparison to volunteers, SUVRs (frontal areas) in group 3 were relatively elevated, whereas SUVRs (hippocampus and para-hippocampus) in group1 were significantly reduced (P < 0.05). SUVRs (frontal areas) in group 1 were significantly lower than group3 (P < 0.05).

Conclusions: The global and regional brain metabolic activity was significantly associated with the extent of HM and cardiac function in HF patients. The findings of this study might contribute to the physiopathological interpretation of cognitive impairment in patients with HF.

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Journal of Nuclear Medicine
Vol. 61, Issue supplement 1
May 1, 2020
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Assessment of the metabolic heart-brain axis with cardiac and brain 18F-FDG PET/CT imaging in patients with heart failure
Mingkai Yun, Binbin Nie, Hua Liu, Xia Lu, Xiaofen Xie, Shaoping Nie, Yongxiang Wei, Marcus Hacker, Baoci Shan, Heinrich Schelbert, Xiaoli Zhang, Xiang Li
Journal of Nuclear Medicine May 2020, 61 (supplement 1) 91;

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Assessment of the metabolic heart-brain axis with cardiac and brain 18F-FDG PET/CT imaging in patients with heart failure
Mingkai Yun, Binbin Nie, Hua Liu, Xia Lu, Xiaofen Xie, Shaoping Nie, Yongxiang Wei, Marcus Hacker, Baoci Shan, Heinrich Schelbert, Xiaoli Zhang, Xiang Li
Journal of Nuclear Medicine May 2020, 61 (supplement 1) 91;
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