Abstract
Background
To evaluate the cerebral metabolism in patients with heart failure (HF).
Methods
One hundred and two HF patients were prospectively enrolled, who underwent gated 99mTc-sestamibi single photon emission computed tomography (SPECT)/CT, cardiac and cerebral 18F-fluorodeoxyglucose (FDG) positron emission tomography (PET)/CT. Fifteen healthy volunteers served as controls. Patients were stratified by extent of hibernating myocardium (HM) and left ventricular ejection fraction (LVEF) into 4 groups where Group1: HM < 10% (n = 33); Group2: HM ≥ 10%, LVEF < 25% (n = 34); Group3: HM ≥ 10%, 25% ≤ LVEF ≤ 40% (n = 16) and Group 4: LVEF > 40% (n = 19). The standardized uptake value (SUV) in the whole brain (SUVwhole-brain) and the SUV ratios (SUVR) in 24 cognition-related brain regions were determined. SUVwhole-brain and SUVRs were compared between the 4 patient groups and the healthy controls.
Results
SUVwhole-brain (r = 0.245, P = 0.013) and SUVRs in frontal areas, hippocampus, and para-hippocampus (r: 0.213 to 0.308, all P < 0.05) were correlated with HM. SUVwhole-brain differed between four patient groups and the healthy volunteers (P = 0.016) and SUVwhole-brain in Group 1 was lower than that in healthy volunteers (P < 0.05). SUVRs of Group 3 in frontal areas were the highest among four patient subgroups (P < 0.05).
Conclusions
Cerebral metabolism in the whole brain was reduced but maintained in cognition-related frontal areas in HF patients with HM and moderately impaired global left ventricular function.
Similar content being viewed by others
Abbreviations
- HF:
-
Heart failure
- PET:
-
Positron emission tomography
- CT:
-
Computed tomography
- HM:
-
Hibernating myocardium (extent)
- SUV:
-
Standardized uptake value
- SUVR:
-
SUV normalized for SUV of cerebellum
- BMI:
-
Body mass index
- MNI:
-
Montreal Neurological Institute
- AAL:
-
Automated anatomical labeling
References
Cermakova P. Relationship between heart and brain: A new piece of the puzzle. Eur J Heart Fail 2018;20:998-9.
Doehner W, Ural D, Haeusler KG, Celutkiene J, Bestetti R, Cavusoglu Y, Pena-Duque MA, Glavas D, Iacoviello M, Laufs U, Alvear RM, Mbakwem A, Piepoli MF, Rosen SD, Tsivgoulis G, Vitale C, Yilmaz MB, Anker SD, Filippatos G, Seferovic P, Coats AJS, Ruschitzka F. Heart and brain interaction in patients with heart failure: Overview and proposal for a taxonomy. A position paper from the study group on heart and brain interaction of the heart failure association. Eur J Heart Fail 2018;20:199-215
Kim MS, Kim JJ. Heart and brain interconnection - clinical implications of changes in brain function during heart failure. Circ J 2015;79:942-7.
Pressler SJ, Jung M. Chronic heart failure with memory and attention dysfunction: Old problem, thinking anew. JACC Heart Fail 2018;6:593-5.
Cardiogenic dementia. Lancet 1977;1:27-28
Havakuk O, King KS, Grazette L, Yoon AJ, Fong M, Bregman N, Elkayam U, Kloner RA. Heart failure-induced brain injury. J Am Coll Cardiol 2017;69:1609-16.
Zuccala G, Pedone C, Cesari M, Onder G, Pahor M, Marzetti E, Lo Monaco MR, Cocchi A, Carbonin P, Bernabei R. The effects of cognitive impairment on mortality among hospitalized patients with heart failure. Am J Med 2003;115:97-103.
Lee CW, Lee JH, Lim TH, Yang HS, Hong MK, Song JK, Park SW, Park SJ, Kim JJ. Prognostic significance of cerebral metabolic abnormalities in patients with congestive heart failure. Circulation 2001;103:2784-7.
Tawakol A, Ishai A, Takx RA, Figueroa AL, Ali A, Kaiser Y, Truong QA, Solomon CJ, Calcagno C, Mani V, Tang CY, Mulder WJ, Murrough JW, Hoffmann U, Nahrendorf M, Shin LM, Fayad ZA, Pitman RK. Relation between resting amygdalar activity and cardiovascular events: a longitudinal and cohort study. Lancet 2017;389:834-45.
Roy B, Woo MA, Wang DJJ, Fonarow GC, Harper RM, Kumar R. Reduced regional cerebral blood flow in patients with heart failure. Eur J Heart Failure 2017;19:1294-302.
Frey A, Sell R, Homola GA, Malsch C, Kraft P, Gunreben I, Morbach C, Alkonyi B, Schmid E, Colonna I, Hofer E, Mullges W, Ertl G, Heuschmann P, Solymosi L, Schmidt R, Stork S, Stoll G. Cognitive deficits and related brain lesions in patients with chronic heart failure. JACC Heart Fail 2018;6:583-92.
Varrone A, Asenbaum S, Vander Borght T, Booij J, Nobili F, Nagren K, Darcourt J, Kapucu OL, Tatsch K, Bartenstein P, Van Laere K, European Association of Nuclear Medicine Neuroimaging C. Eanm procedure guidelines for pet brain imaging using [18f]fdg, version 2. Eur J Nucl Med Mol Imaging 2009;36:2103-10
Zhang X, Schindler TH, Prior JO, Sayre J, Dahlbom M, Huang SC, Schelbert HR. Blood flow, flow reserve, and glucose utilization in viable and nonviable myocardium in patients with ischemic cardiomyopathy. Eur J Nucl Med Mol Imaging 2013;40:532-41.
Zhang X, Liu XJ, Hu S, Schindler TH, Tian Y, He ZX, Gao R, Wu Q, Wei H, Sayre JW, Schelbert HR. Long-term survival of patients with viable and nonviable aneurysms assessed by 99mtc-mibi spect and 18f-fdg pet: A comparative study of medical and surgical treatment. J Nucl Med 2008;49:1288-98.
Allman KC, Shaw LJ, Hachamovitch R, Udelson JE. Myocardial viability testing and impact of revascularization on prognosis in patients with coronary artery disease and left ventricular dysfunction: A meta-analysis. J Am Coll Cardiol 2002;39:1151-8.
Wang W, Li X, Tian C, Zhao S, Hacker M, Zhang X. Cardiac death in patients with left ventricular aneurysm, remodeling and myocardial viability by gated (99m)tc-mibi spect and gated (18)f-fdg pet. Int J Cardiovasc Imaging 2018;34:485-93.
Wei H, Tian C, Schindler TH, Qiu M, Lu M, Shen R, Tian Y, Zhao SH, Zhang X. The impacts of severe perfusion defects, akinetic/dyskinetic segments, and viable myocardium on the accuracy of volumes and lvef measured by gated (9)(9)mtc-mibi spect and gated (1)(8)f-fdg pet in patients with left ventricular aneurysm: Cardiac magnetic resonance imaging as the reference. J Nucl Cardiol 2014;21:1230-44.
Dilsizian V, Bacharach SL, Beanlands RS, Bergmann SR, Delbeke D, Dorbala S, Gropler RJ, Knuuti J, Schelbert HR, Travin MI. Asnc imaging guidelines/snmmi procedure standard for positron emission tomography (pet) nuclear cardiology procedures. J Nucl Cardiol 2016;23:1187-226.
Varrone A, Asenbaum S, Vander Borght T, Booij J, Nobili F, Nagren K, Darcourt J, Kapucu OL, Tatsch K, Bartenstein P, Van Laere K. Eanm procedure guidelines for pet brain imaging using [f-18]fdg, version 2. Eur J Nucl Med Mol I 2009;36:2103-10.
Tzourio-Mazoyer N, Landeau B, Papathanassiou D, Crivello F, Etard O, Delcroix N, Mazoyer B, Joliot M. Automated anatomical labeling of activations in spm using a macroscopic anatomical parcellation of the mni mri single-subject brain. Neuroimage 2002;15:273-89.
Leto L, Feola M. Cognitive impairment in heart failure patients. J Geriatr Cardiol 2014;11:316-28.
Brown RK, Bohnen NI, Wong KK, Minoshima S, Frey KA. Brain pet in suspected dementia: Patterns of altered fdg metabolism. Radiographics 2014;34:684-701.
Paulson OB, Strandgaard S, Edvinsson L. Cerebral autoregulation. Cerebrovasc Brain Metab Rev 1990;2:161-92.
Fiechter M, Roggo A, Burger IA, Bengs S, Treyer V, Becker A, Maredziak M, Haider A, Portmann A, Messerli M, Patriki D, Muhlematter UJ, von Felten E, Benz DC, Fuchs TA, Grani C, Pazhenkottil AP, Buechel RR, Kaufmann PA, Gebhard C. Association between resting amygdalar activity and abnormal cardiac function in women and men: A retrospective cohort study. Eur Heart J Cardiovasc Imaging 2019;20:625-32.
Fiechter M, Roggo A, Haider A, Bengs S, Burger IA, Maredziak M, Portmann A, Treyer V, Becker AS, Messerli M, Muhlematter UJ, Kudura K, von Felten E, Benz DC, Fuchs TA, Grani C, Pazhenkottil AP, Buechel RR, Kaufmann PA, Gebhard C. Metabolic activity in central neural structures of patients with myocardial injury. J Am Heart Assoc 2019;8:e013070.
Horsfield MA, Jara JL, Saeed NP, Panerai RB, Robinson TG. Regional differences in dynamic cerebral autoregulation in the healthy brain assessed by magnetic resonance imaging. PLoS ONE 2013;8:e62588.
Henriksen OM, Vestergaard MB, Lindberg U, Aachmann-Andersen NJ, Lisbjerg K, Christensen SJ, Rasmussen P, Olsen NV, Forman JL, Larsson HBW, Law I. Interindividual and regional relationship between cerebral blood flow and glucose metabolism in the resting brain. J Appl Physiol 1985;2018(125):1080-9.
Binks AP, Cunningham VJ, Adams L, Banzett RB. Gray matter blood flow change is unevenly distributed during moderate isocapnic hypoxia in humans. J Appl Physiol 1985;2008(104):212-7.
Thackeray JT. Imaging the molecular footprints of the heart-brain axis in cardiovascular disease. J Nucl Med 2019;60:728-9.
Bascunana P, Hess A, Borchert T, Wang Y, Wollert KC, Bengel FM, Thackeray JT. (11)c-methionine pet identifies astroglia involvement in heart-brain inflammation networking after acute myocardial infarction. J Nucl Med 2020;61(7):977-80.
Frangogiannis NG, Shimoni S, Chang SM, Ren G, Shan K, Aggeli C, Reardon MJ, Letsou GV, Espada R, Ramchandani M, Entman ML, Zoghbi WA. Evidence for an active inflammatory process in the hibernating human myocardium. Am J Pathol 2002;160:1425-33.
Frangogiannis NG. The pathological basis of myocardial hibernation. Histol Histopathol 2003;18:647-55.
Willis MW, Ketter TA, Kimbrell TA, George MS, Herscovitch P, Danielson AL, Benson BE, Post RM. Age, sex and laterality effects on cerebral glucose metabolism in healthy adults. Psychiatry Res 2002;114:23-37.
Acknowledgement
Michael C. Kreissl, Division of Nuclear Medicine, Department of Radiology and Nuclear Medicine, University Hospital Magdeburg, Magdeburg, Germany for the advice on the manuscript.
Disclosures
The authors declare they have no conflict of interest.
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
The authors of this article have provided a PowerPoint file, available for download at SpringerLink, which summarises the contents of the paper and is free for re-use at meetings and presentations. Search for the article DOI on SpringerLink.com.
The authors have also provided an audio summary of the article, which is available to download as ESM, or to listen to via the JNC/ASNC Podcast.
All editorial decisions for this article, including selection of reviewers and the final decision, were made by guest editor Nagara Tamaki, MD.
Funding
This work was supported by National Natural Science Foundation of China (81871377, 81571717) and Beijing Municipal Science & Technology Comission (Z1 81100001718071).
Electronic supplementary material
Below is the link to the electronic supplementary material.
Rights and permissions
About this article
Cite this article
Yun, M., Nie, B., Wen, W. et al. Assessment of cerebral glucose metabolism in patients with heart failure by 18F-FDG PET/CT imaging. J. Nucl. Cardiol. 29, 476–488 (2022). https://doi.org/10.1007/s12350-020-02258-2
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12350-020-02258-2