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Pitton Rissardo J, Fornari Caprara AL. Cardiac 123I-Metaiodobenzylguanidine (MIBG) Scintigraphy in Parkinson's Disease: A Comprehensive Review. Brain Sci 2023; 13:1471. [PMID: 37891838 PMCID: PMC10605004 DOI: 10.3390/brainsci13101471] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Revised: 09/23/2023] [Accepted: 10/13/2023] [Indexed: 10/29/2023] Open
Abstract
Cardiac sympathetic denervation, as documented on 123I-metaiodobenzylguanidine (MIBG) myocardial scintigraphy, is relatively sensitive and specific for distinguishing Parkinson's disease (PD) from other neurodegenerative causes of parkinsonism. The present study aims to comprehensively review the literature regarding the use of cardiac MIBG in PD. MIBG is an analog to norepinephrine. They share the same uptake, storage, and release mechanisms. An abnormal result in the cardiac MIBG uptake in individuals with parkinsonism can be an additional criterion for diagnosing PD. However, a normal result of cardiac MIBG in individuals with suspicious parkinsonian syndrome does not exclude the diagnosis of PD. The findings of cardiac MIBG studies contributed to elucidating the pathophysiology of PD. We investigated the sensitivity and specificity of cardiac MIBG scintigraphy in PD. A total of 54 studies with 3114 individuals diagnosed with PD were included. The data were described as means with a Hoehn and Yahr stage of 2.5 and early and delayed registration H/M ratios of 1.70 and 1.51, respectively. The mean cutoff for the early and delayed phases were 1.89 and 1.86. The sensitivity for the early and delayed phases was 0.81 and 0.83, respectively. The specificity for the early and delayed phases were 0.86 and 0.80, respectively.
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Grkovski M, Zanzonico PB, Modak S, Humm JL, Narula J, Pandit-Taskar N. F-18 meta-fluorobenzylguanidine PET imaging of myocardial sympathetic innervation. J Nucl Cardiol 2022; 29:3179-3188. [PMID: 34993893 PMCID: PMC10155237 DOI: 10.1007/s12350-021-02813-5] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Accepted: 09/07/2021] [Indexed: 01/18/2023]
Abstract
BACKGROUND I-123 meta-iodobenzylguanidine (MIBG) imaging has long been employed to noninvasively assess the integrity of human norepinephrine transporter-1 and, hence, myocardial sympathetic innervation. Positron-emitting F-18 meta-fluorobenzylguanidine (MFBG) has recently been developed for potentially superior quantitative characterization. We assessed the feasibility of MFBG imaging of myocardial sympathetic innervation. METHODS 16 patients were imaged with MFBG PET (30-minute dynamic imaging of chest, followed by 3 whole-body acquisitions between 30 minutes and 4-hour post-injection). Blood kinetics were assessed from multiple samples. Pharmacokinetic modeling with reversible 1- and 2-compartment models was performed. Kinetic rate constants were re-calculated from truncated datasets. All patients underwent concurrent MIBG SPECT. RESULTS MFBG myocardial uptake was rapid and sustained; the mean standardized uptake value (SUV (mean ± standard deviation)) was 5.1 ± 2.2 and 3.4 ± 1.9 at 1 hour and 3-4-hour post-injection, respectively. The mean K1 and distribution volume (VT) were 1.1 ± 0.6 mL/min/g and 34 ± 22 mL/cm3, respectively. Both were reproducible when re-calculated from truncated 1-hour datasets (Intraclass Correlation Coefficient of 0.99 and 0.91, respectively). Spearman's ϱ = 0.86 between MFBG SUV and VT and 0.80 between MFBG PET-derived VT and MIBG SPECT-derived heart-to-mediastinum activity concentration ratio. CONCLUSION MFBG is a promising PET radiotracer for the assessment of myocardial sympathetic innervation.
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Affiliation(s)
- Milan Grkovski
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Pat B Zanzonico
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Shakeel Modak
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - John L Humm
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Jagat Narula
- Mount Sinai Heart, The Mount Sinai Hospital, New York, NY, USA
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Neeta Pandit-Taskar
- Molecular Imaging and Therapy Service, Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, 10065, USA.
- Department of Radiology, Weill Cornell Medical College, New York, NY, USA.
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Cui J, Gong K, Guo N, Kim K, Liu H, Li Q. Unsupervised PET logan parametric image estimation using conditional deep image prior. Med Image Anal 2022; 80:102519. [PMID: 35767910 DOI: 10.1016/j.media.2022.102519] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Revised: 06/14/2022] [Accepted: 06/15/2022] [Indexed: 11/18/2022]
Abstract
Recently, deep learning-based denoising methods have been gradually used for PET images denoising and have shown great achievements. Among these methods, one interesting framework is conditional deep image prior (CDIP) which is an unsupervised method that does not need prior training or a large number of training pairs. In this work, we combined CDIP with Logan parametric image estimation to generate high-quality parametric images. In our method, the kinetic model is the Logan reference tissue model that can avoid arterial sampling. The neural network was utilized to represent the images of Logan slope and intercept. The patient's computed tomography (CT) image or magnetic resonance (MR) image was used as the network input to provide anatomical information. The optimization function was constructed and solved by the alternating direction method of multipliers (ADMM) algorithm. Both simulation and clinical patient datasets demonstrated that the proposed method could generate parametric images with more detailed structures. Quantification results showed that the proposed method results had higher contrast-to-noise (CNR) improvement ratios (PET/CT datasets: 62.25%±29.93%; striatum of brain PET datasets : 129.51%±32.13%, thalamus of brain PET datasets: 128.24%±31.18%) than Gaussian filtered results (PET/CT datasets: 23.33%±18.63%; striatum of brain PET datasets: 74.71%±8.71%, thalamus of brain PET datasets: 73.02%±9.34%) and nonlocal mean (NLM) denoised results (PET/CT datasets: 37.55%±26.56%; striatum of brain PET datasets: 100.89%±16.13%, thalamus of brain PET datasets: 103.59%±16.37%).
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Affiliation(s)
- Jianan Cui
- The State Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou, Zhejiang 310027, China; The Center for Advanced Medical Computing and Analysis, Massachusetts General Hospital/Harvard Medical School, Boston MA 02114, USA
| | - Kuang Gong
- The Center for Advanced Medical Computing and Analysis, Massachusetts General Hospital/Harvard Medical School, Boston MA 02114, USA
| | - Ning Guo
- The Center for Advanced Medical Computing and Analysis, Massachusetts General Hospital/Harvard Medical School, Boston MA 02114, USA
| | - Kyungsang Kim
- The Center for Advanced Medical Computing and Analysis, Massachusetts General Hospital/Harvard Medical School, Boston MA 02114, USA
| | - Huafeng Liu
- The State Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou, Zhejiang 310027, China; Jiaxing Key Laboratory of Photonic Sensing and Intelligent Imaging, Jiaxing, Zhejiang 314000, China; Intelligent Optics and Photonics Research Center, Jiaxing Research Institute, Zhejiang University, Zhejiang 314000, China.
| | - Quanzheng Li
- The Center for Advanced Medical Computing and Analysis, Massachusetts General Hospital/Harvard Medical School, Boston MA 02114, USA.
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Wang JZ, Zelt JGE, Kaps N, Lavallee A, Renaud JM, Rotstein B, Beanlands RSB, Fallavollita JA, Canty JM, deKemp RA. Does quantification of [ 11C]meta-hydroxyephedrine and [ 13N]ammonia kinetics improve risk stratification in ischemic cardiomyopathy. J Nucl Cardiol 2022; 29:413-425. [PMID: 34341953 PMCID: PMC8807773 DOI: 10.1007/s12350-021-02732-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2021] [Accepted: 04/13/2021] [Indexed: 11/26/2022]
Abstract
BACKGROUND In ischemic cardiomyopathy patients, cardiac sympathetic nervous system dysfunction is a predictor of sudden cardiac arrest (SCA). This study compared abnormal innervation and perfusion measured by [11C]meta-hydroxyephedrine (HED) vs [13N]ammonia (NH3), conventional uptake vs parametric tracer analysis, and their SCA risk discrimination. METHODS This is a sub-study analysis of the prospective PAREPET trial, which followed ischemic cardiomyopathy patients with reduced left ventricular ejection fraction (LVEF ≤ 35%) for events of SCA. Using n = 174 paired dynamic HED and NH3 positron emission tomography (PET) scans, regional defect scores (%LV extent × severity) were calculated using HED and NH3 uptake, as well as HED distribution volume and NH3 myocardial blood flow by kinetic modeling. RESULTS During 4.1 years follow-up, there were 27 SCA events. HED defects were larger than NH3, especially in the lowest tertile of perfusion abnormality (P < .001). Parametric defects were larger than their respective tracer uptake defects (P < .001). SCA risk discrimination was not significantly improved with parametric or uptake mismatch (AUC = 0.73 or 0.70) compared to HED uptake defect scores (AUC = 0.67). CONCLUSION Quantification of HED distribution volume and NH3 myocardial blood flow produced larger defects than their respective measures of tracer uptake, but did not lead to improved SCA risk stratification vs HED uptake alone.
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Affiliation(s)
- Jean Z Wang
- Department of Medicine (Cardiology), University of Ottawa Heart Institute, 40 Ruskin Street, Ottawa, ON, K1Y 4W7, Canada
- Faculty of Medicine, University of Ottawa, 451 Smyth Rd, Ottawa, ON, K1H 8L1, Canada
| | - Jason G E Zelt
- Department of Medicine (Cardiology), University of Ottawa Heart Institute, 40 Ruskin Street, Ottawa, ON, K1Y 4W7, Canada
- Faculty of Medicine, University of Ottawa, 451 Smyth Rd, Ottawa, ON, K1H 8L1, Canada
| | - Nicole Kaps
- Department of Medicine (Cardiology), University of Ottawa Heart Institute, 40 Ruskin Street, Ottawa, ON, K1Y 4W7, Canada
| | - Aaryn Lavallee
- Department of Medicine (Cardiology), University of Ottawa Heart Institute, 40 Ruskin Street, Ottawa, ON, K1Y 4W7, Canada
| | - Jennifer M Renaud
- Department of Medicine (Cardiology), University of Ottawa Heart Institute, 40 Ruskin Street, Ottawa, ON, K1Y 4W7, Canada
- INVIA Medical Imaging Solutions, Ann Arbor, MI, USA
| | - Benjamin Rotstein
- Faculty of Medicine, University of Ottawa, 451 Smyth Rd, Ottawa, ON, K1H 8L1, Canada
- Department of Biochemistry, Microbiology and Immunology, University of Ottawa, 451 Smyth Rd, Ottawa, ON, K1H 8L1, Canada
| | - Rob S B Beanlands
- Department of Medicine (Cardiology), University of Ottawa Heart Institute, 40 Ruskin Street, Ottawa, ON, K1Y 4W7, Canada
- Faculty of Medicine, University of Ottawa, 451 Smyth Rd, Ottawa, ON, K1H 8L1, Canada
| | - James A Fallavollita
- VA Western New York Healthcare System, Buffalo, NY, USA
- Division of Cardiovascular Medicine, University at Buffalo, Buffalo, NY, USA
| | - John M Canty
- VA Western New York Healthcare System, Buffalo, NY, USA
- Division of Cardiovascular Medicine, University at Buffalo, Buffalo, NY, USA
| | - Robert A deKemp
- Department of Medicine (Cardiology), University of Ottawa Heart Institute, 40 Ruskin Street, Ottawa, ON, K1Y 4W7, Canada.
- Faculty of Medicine, University of Ottawa, 451 Smyth Rd, Ottawa, ON, K1H 8L1, Canada.
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Wang JZ, Moody JB, Kaps N, Britt D, Lavallee A, Renaud JM, Zelt JGE, Wu KY, Beanlands RS, Fallavollita JA, Canty JM, deKemp RA. Reproducible Quantification of Regional Sympathetic Denervation with [ 11C]meta-Hydroxyephedrine PET Imaging. J Nucl Cardiol 2021; 28:2745-2757. [PMID: 32347526 PMCID: PMC7673573 DOI: 10.1007/s12350-020-02114-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2019] [Accepted: 03/13/2020] [Indexed: 01/08/2023]
Abstract
BACKGROUND Regional cardiac sympathetic denervation is predictive of sudden cardiac arrest in patients with ischemic cardiomyopathy. The reproducibility of denervation scores between automated software programs has not been evaluated. This study seeks to (1) compare the inter-rater reliability of regional denervation measurements using two analysis programs: FlowQuant® and Corridor4DM®; (2) evaluate test-retest repeatability of regional denervation scores. METHODS N = 190 dynamic [11C]meta-hydroxyephedrine (HED) PET scans were reviewed from the PAREPET trial in ischemic cardiomyopathy patients with reduced left ventricular ejection fraction(LVEF ≤ 35%). N = 12 scans were excluded due to non-diagnostic quality. N = 178 scans were analyzed using FlowQuant and Corridor4DM software, each by two observers. Test-retest scans from N = 20 patients with stable heart failure were utilized for test-retest analysis. Denervation scores were defined as extent × severity of relative uptake defects in LV regions with < 75% of maximal uptake. Results were evaluated using intraclass correlation coefficient (ICC) and Bland-Altman coefficient of repeatability (RPC). RESULTS Inter-observer, inter-software, and test-retest ICC values were excellent (ICC = 94% to 99%) and measurement variability was small (RPC < 11%). Mean differences between observers ranged .2% to 1.1% for Corridor4DM (P = .28), FlowQuant (P < .001), and between software programs (P < .001). Kaplan-Meier analysis demonstrated HED scores from both programs were predictive of SCA. CONCLUSION Inter-rater reliability for both analysis programs was excellent and test-retest repeatability was consistent. The minimal difference in scores between FlowQuant and Corridor4DM supports their use in future trials.
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Affiliation(s)
- Jean Z Wang
- Department of Medicine (Cardiology), University of Ottawa Heart Institute, 40 Ruskin Street, Ottawa, ON, K1Y 4W7, Canada
- Faculty of Medicine, University of Ottawa, Ottawa, Canada
| | | | - Nicole Kaps
- Department of Medicine (Cardiology), University of Ottawa Heart Institute, 40 Ruskin Street, Ottawa, ON, K1Y 4W7, Canada
| | - Deron Britt
- Department of Medicine (Cardiology), University of Ottawa Heart Institute, 40 Ruskin Street, Ottawa, ON, K1Y 4W7, Canada
- Faculty of Medicine, University of Ottawa, Ottawa, Canada
| | - Aaryn Lavallee
- Department of Medicine (Cardiology), University of Ottawa Heart Institute, 40 Ruskin Street, Ottawa, ON, K1Y 4W7, Canada
| | - Jennifer M Renaud
- Department of Medicine (Cardiology), University of Ottawa Heart Institute, 40 Ruskin Street, Ottawa, ON, K1Y 4W7, Canada
- INVIA Medical Imaging Solutions, Ann Arbor, Michigan, USA
| | - Jason G E Zelt
- Department of Medicine (Cardiology), University of Ottawa Heart Institute, 40 Ruskin Street, Ottawa, ON, K1Y 4W7, Canada
- Faculty of Medicine, University of Ottawa, Ottawa, Canada
- Department of Cellular and Molecular Medicine, Faculty of Medicine, University of Ottawa, Ottawa, Canada
| | - Kai Yi Wu
- Department of Medicine (Cardiology), University of Ottawa Heart Institute, 40 Ruskin Street, Ottawa, ON, K1Y 4W7, Canada
- Faculty of Medicine, University of Ottawa, Ottawa, Canada
| | - Rob S Beanlands
- Department of Medicine (Cardiology), University of Ottawa Heart Institute, 40 Ruskin Street, Ottawa, ON, K1Y 4W7, Canada
- Faculty of Medicine, University of Ottawa, Ottawa, Canada
- Department of Cellular and Molecular Medicine, Faculty of Medicine, University of Ottawa, Ottawa, Canada
| | - James A Fallavollita
- Division of Cardiovascular Medicine, University at Buffalo, Buffalo, NY, USA
- VA Western New York Healthcare System, Buffalo, NY, USA
| | - John M Canty
- Division of Cardiovascular Medicine, University at Buffalo, Buffalo, NY, USA
- VA Western New York Healthcare System, Buffalo, NY, USA
| | - Robert A deKemp
- Department of Medicine (Cardiology), University of Ottawa Heart Institute, 40 Ruskin Street, Ottawa, ON, K1Y 4W7, Canada.
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Zelt JGE, Schock S, deKemp RA, Stewart DJ, Staines WA, Ahmadi A, Beanlands R, Mielniczuk LM. [ 11C]meta-hydroxyephedrine PET evaluation in experimental pulmonary arterial hypertension: Effects of carvedilol of right ventricular sympathetic function. J Nucl Cardiol 2021; 28:407-422. [PMID: 33501547 DOI: 10.1007/s12350-020-02494-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2020] [Accepted: 04/28/2020] [Indexed: 10/22/2022]
Abstract
BACKGROUND Little is known about the sequelae of chronic sympathetic nervous system (SNS) activation in patients with pulmonary arterial hypertension (PAH) and right heart failure (RHF). We aimed to, (1) validate the use of [11C]-meta-hydroxyephedrine (HED) for assessing right ventricular (RV) SNS integrity, and (2) determine the effects of β-receptor blockade on ventricular function and myocardial SNS activity in a PAH rat model. METHODS PAH was induced in male Sprague-Dawley rats (N = 36) using the Sugen+chronic hypoxia model. At week 5 post-injection, PAH rats were randomized to carvedilol (15 mg·kg-1·day-1 oral; N = 16) or vehicle (N = 16) for 4 weeks. Myocardial SNS function was assessed with HED positron emission tomography(PET). RESULTS With increasing PAH disease severity, immunohistochemistry confirmed selective sympathetic denervation within the RV and sparing of parasympathetic nerves. These findings were confirmed on PET with a significant negative relationship between HED volume of distribution(DV) and right ventricular systolic pressure (RVSP) in the RV (r = -0.90, p = 0.0003). Carvedilol did not reduce hemodynamic severity compared to vehicle. RV ejection fraction (EF) was lower in both PAH groups compared to control (p < 0.05), and was not further reduced by carvedilol. Carvedilol improved SNS function in the LV with significant increases in the HED DV, and decreased tracer washout in the LV (p < 0.05) but not RV. CONCLUSIONS PAH disease severity correlated with a reduction in HED DV in the RV. This was associated with selective sympathetic denervation. Late carvedilol treatment did not lead to recovery of RV function. These results support the role of HED imaging in assessing SNS innervation in a failing right ventricle.
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Affiliation(s)
- Jason G E Zelt
- Molecular Function and Imaging Program, The National Cardiac PET Centre, Division of Cardiology, Department of Medicine and the Cardiac Research Methods Centre, University of Ottawa Heart Institute and University of Ottawa, 40 Ruskin Street, Ottawa, ON, K1Y 4W7, Canada.
- Department of Cellular and Molecular Medicine, Faculty of Medicine, University of Ottawa, Ottawa, Canada.
- Division of Cardiology, University of Ottawa Heart Institute and University of Ottawa, Ottawa, Canada.
| | - Sarah Schock
- Department of Biochemistry Microbiology and Immunology, Faculty of Medicine, University of Ottawa, Ottawa, Canada
| | - Robert A deKemp
- Molecular Function and Imaging Program, The National Cardiac PET Centre, Division of Cardiology, Department of Medicine and the Cardiac Research Methods Centre, University of Ottawa Heart Institute and University of Ottawa, 40 Ruskin Street, Ottawa, ON, K1Y 4W7, Canada
| | - Duncan J Stewart
- Department of Cellular and Molecular Medicine, Faculty of Medicine, University of Ottawa, Ottawa, Canada
- Division of Cardiology, University of Ottawa Heart Institute and University of Ottawa, Ottawa, Canada
- Sinclair Centre for Regenerative Medicine, Ottawa Hospital Research Institute, Ottawa, Canada
| | - William A Staines
- Department of Biochemistry Microbiology and Immunology, Faculty of Medicine, University of Ottawa, Ottawa, Canada
| | - Ali Ahmadi
- Molecular Function and Imaging Program, The National Cardiac PET Centre, Division of Cardiology, Department of Medicine and the Cardiac Research Methods Centre, University of Ottawa Heart Institute and University of Ottawa, 40 Ruskin Street, Ottawa, ON, K1Y 4W7, Canada
| | - Rob Beanlands
- Molecular Function and Imaging Program, The National Cardiac PET Centre, Division of Cardiology, Department of Medicine and the Cardiac Research Methods Centre, University of Ottawa Heart Institute and University of Ottawa, 40 Ruskin Street, Ottawa, ON, K1Y 4W7, Canada
- Department of Cellular and Molecular Medicine, Faculty of Medicine, University of Ottawa, Ottawa, Canada
- Division of Cardiology, University of Ottawa Heart Institute and University of Ottawa, Ottawa, Canada
| | - Lisa M Mielniczuk
- Molecular Function and Imaging Program, The National Cardiac PET Centre, Division of Cardiology, Department of Medicine and the Cardiac Research Methods Centre, University of Ottawa Heart Institute and University of Ottawa, 40 Ruskin Street, Ottawa, ON, K1Y 4W7, Canada
- Department of Cellular and Molecular Medicine, Faculty of Medicine, University of Ottawa, Ottawa, Canada
- Division of Cardiology, University of Ottawa Heart Institute and University of Ottawa, Ottawa, Canada
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Recent advances in radiotracers targeting norepinephrine transporter: structural development and radiolabeling improvements. J Neural Transm (Vienna) 2020; 127:851-873. [PMID: 32274584 PMCID: PMC7223405 DOI: 10.1007/s00702-020-02180-4] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2020] [Accepted: 03/21/2020] [Indexed: 12/13/2022]
Abstract
The norepinephrine transporter (NET) is a major target for the evaluation of the cardiac sympathetic nerve system in patients with heart failure and Parkinson's disease. It is also used in the therapeutic applications against certain types of neuroendocrine tumors, as exemplified by the clinically used 123/131I-MIBG as theranostic single-photon emission computed tomography (SPECT) agent. With the development of more advanced positron emission tomography (PET) technology, more radiotracers targeting NET have been reported, with superior temporal and spatial resolutions, along with the possibility of functional and kinetic analysis. More recently, fluorine-18-labelled NET tracers have drawn increasing attentions from researchers, due to their longer radiological half-life relative to carbon-11 (110 min vs. 20 min), reduced dependence on on-site cyclotrons, and flexibility in the design of novel tracer structures. In the heart, certain NET tracers provide integral diagnostic information on sympathetic innervation and the nerve status. In the central nervous system, such radiotracers can reveal NET distribution and density in pathological conditions. Most radiotracers targeting cardiac NET-function for the cardiac application consistent of derivatives of either norepinephrine or MIBG with its benzylguanidine core structure, e.g. 11C-HED and 18F-LMI1195. In contrast, all NET tracers used in central nervous system applications are derived from clinically used antidepressants. Lastly, possible applications of NET as selective tracers over organic cation transporters (OCTs) in the kidneys and other organs controlled by sympathetic nervous system will also be discussed.
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Wu KY, Zelt JG, Wang T, Dinculescu V, Miner R, Lapierre C, Kaps N, Lavallee A, Renaud JM, Thackeray J, Mielniczuk LM, Chen SY, Burwash IG, DaSilva JN, Beanlands RS, deKemp RA. Reliable quantification of myocardial sympathetic innervation and regional denervation using [11C]meta-hydroxyephedrine PET. Eur J Nucl Med Mol Imaging 2019; 47:1722-1735. [DOI: 10.1007/s00259-019-04629-5] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2019] [Accepted: 11/18/2019] [Indexed: 12/14/2022]
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Cysouw MCF, Golla SVS, Frings V, Smit EF, Hoekstra OS, Kramer GM, Boellaard R. Partial-volume correction in dynamic PET-CT: effect on tumor kinetic parameter estimation and validation of simplified metrics. EJNMMI Res 2019; 9:12. [PMID: 30715647 PMCID: PMC6362178 DOI: 10.1186/s13550-019-0483-z] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2018] [Accepted: 01/25/2019] [Indexed: 12/27/2022] Open
Abstract
Background Partial-volume effects generally result in an underestimation of tumor tracer uptake on PET-CT for small lesions, necessitating partial-volume correction (PVC) for accurate quantification. However, investigation of PVC in dynamic oncological PET studies to date is scarce. The aim of this study was to investigate PVC’s impact on tumor kinetic parameter estimation from dynamic PET-CT acquisitions and subsequent validation of simplified semi-quantitative metrics. Ten patients with EGFR-mutated non-small cell lung cancer underwent dynamic 18F-fluorothymidine PET-CT before, 7 days after, and 28 days after commencing treatment with a tyrosine kinase inhibitor. Parametric PVC was applied using iterative deconvolution without and with highly constrained backprojection (HYPR) denoising, respectively. Using an image-derived input function with venous parent plasma calibration, we estimated full kinetic parameters VT, K1, and k3/k4 (BPND) using a reversible two-tissue compartment model, and simplified metrics (SUV and tumor-to-blood ratio) at 50–60 min post-injection. Results PVC had a non-linear effect on measured activity concentrations per timeframe. PVC significantly changed each kinetic parameter, with a median increase in VT of 11.8% (up to 25.1%) and 10.8% (up to 21.7%) without and with HYPR, respectively. Relative changes in kinetic parameter estimates vs. simplified metrics after applying PVC were poorly correlated (correlations 0.36–0.62; p < 0.01). PVC increased correlations between simplified metrics and VT from 0.82 and 0.81 (p < 0.01) to 0.90 and 0.88 (p < 0.01) for SUV and TBR, respectively, albeit non-significantly. PVC also increased correlations between treatment-induced changes in simplified metrics vs. VT at 7 (SUV) and 28 (SUV and TBR) days after treatment start non-significantly. Delineation on partial-volume corrected PET images resulted in a median decrease in metabolic tumor volume of 14.3% (IQR − 22.1 to − 7.5%), and increased the effect of PVC on kinetic parameter estimates. Conclusion PVC has a significant impact on tumor kinetic parameter estimation from dynamic PET-CT data, which differs from its effect on simplified metrics. However, it affected validation of these simplified metrics both as single measurements and as biomarkers of treatment response only to a small extent. Future dynamic PET studies should preferably incorporate PVC. Trial registration Dutch Trial Register, NTR3557. Electronic supplementary material The online version of this article (10.1186/s13550-019-0483-z) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- M C F Cysouw
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Cancer Center Amsterdam, De Boelelaan 1117, Amsterdam, the Netherlands.
| | - S V S Golla
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Cancer Center Amsterdam, De Boelelaan 1117, Amsterdam, the Netherlands
| | - V Frings
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Cancer Center Amsterdam, De Boelelaan 1117, Amsterdam, the Netherlands
| | - E F Smit
- Department of Thoracic Oncology, Netherlands Cancer Institute, Plesmanlaan 121, Amsterdam, the Netherlands
| | - O S Hoekstra
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Cancer Center Amsterdam, De Boelelaan 1117, Amsterdam, the Netherlands
| | - G M Kramer
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Cancer Center Amsterdam, De Boelelaan 1117, Amsterdam, the Netherlands
| | - R Boellaard
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Cancer Center Amsterdam, De Boelelaan 1117, Amsterdam, the Netherlands
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