1
|
Bengel FM, Hermanns N, Thackeray JT. Radionuclide Imaging of the Molecular Mechanisms Linking Heart and Brain in Ischemic Syndromes. Circ Cardiovasc Imaging 2020; 13:e011303. [DOI: 10.1161/circimaging.120.011303] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
For the heart and the brain, clinical observations suggest that an acute ischemic event experienced by one organ is associated with an increased risk for future acute events and chronic dysfunction of the reciprocal organ. Beyond atherosclerosis as a common systemic disease, various molecular mechanisms are thought to be involved in this interaction. Molecular-targeted nuclear imaging may identify the contribution of factors, such as the neurohumoral, circulatory, or especially the immune system, by combining specific radiotracers with whole-body acquisition and global as well as regional multiorgan analysis. This may be integrated with complementary functional imaging markers and systemic biomarkers for comprehensive network interrogation. Such systems-based strategies go beyond the traditional organ-centered approach and provide novel mechanistic insights, information about temporal dynamics, and a foundation for future interventions aiming at optimal preservation of function of both organs.
Collapse
Affiliation(s)
- Frank M. Bengel
- Department of Nuclear Medicine, Hannover Medical School, Germany
| | - Nele Hermanns
- Department of Nuclear Medicine, Hannover Medical School, Germany
| | | |
Collapse
|
2
|
Cabello J, Lukas M, Förster S, Pyka T, Nekolla SG, Ziegler SI. MR-based attenuation correction using ultrashort-echo-time pulse sequences in dementia patients. J Nucl Med 2015; 56:423-9. [PMID: 25678486 DOI: 10.2967/jnumed.114.146308] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023] Open
Abstract
UNLABELLED Attenuation correction (AC) is a critical requirement for quantitative PET reconstruction. Accounting for bone information in the attenuation map (μ map) is of paramount importance for accurate brain PET quantification. However, to measure the signal from bone structures represents a challenging task in MR. Recent (18)F-FDG PET/MR studies showed quantitative bias for the assessment of radiotracer concentration when bone was ignored. This work is focused on (18)F-FDG PET/MR neurodegenerative dementing disorders. These are known to lead to specific patterns of (18)F-FDG hypometabolism, mainly in superficial brain structures, which might suffer from attenuation artifacts and thus have immediate diagnostic consequences. A fully automatic method to estimate the μ map, including bone tissue using only MR information, is presented. METHODS The algorithm was based on a dual-echo ultrashort-echo-time MR imaging sequence to calculate the R2 map, from which the μ map was derived. The R2-based μ map was postprocessed to calculate an estimated distribution of the bone tissue. μ maps calculated from datasets of 9 patients were compared with their CT-based μ maps (μ mapCT) by determining the confusion matrix. Additionally, a region-of-interest comparison between reconstructed PET data, corrected using different μ maps, was performed. PET data were reconstructed using a Dixon-based μ map (μ mapDX) and a dual-echo ultrashort-echo-time-based μ map (μ mapUTE), which are both calculated by the scanner, and the R2-based μ map presented in this work was compared with reconstructed PET data using the μ mapCT as a reference. RESULTS Errors were approximately 20% higher using the μ mapDX and μ mapUTE for AC, compared with reconstructed PET data using the reference μ mapCT. However, PET AC using the R2-based μ map resulted, for all the patients and all the analyzed regions of interest, in a significant improvement, reducing the error to -5.8% to 2.5%. CONCLUSION The proposed method successfully showed significantly reduced errors in quantification, compared with the μ mapDX and μ mapUTE, and therefore delivered more accurate PET image quantification for an improved diagnostic workup in dementia patients.
Collapse
Affiliation(s)
- Jorge Cabello
- Nuklearmedizinische Klinik und Poliklinik, Klinikum Rechts der Isar, Technische Universität München, Munich, Germany; and
| | - Mathias Lukas
- Nuklearmedizinische Klinik und Poliklinik, Klinikum Rechts der Isar, Technische Universität München, Munich, Germany; and
| | - Stefan Förster
- Nuklearmedizinische Klinik und Poliklinik, Klinikum Rechts der Isar, Technische Universität München, Munich, Germany; and TUM Neuroimaging Center (TUM-NIC), Technische Universität München, Munich, Germany
| | - Thomas Pyka
- Nuklearmedizinische Klinik und Poliklinik, Klinikum Rechts der Isar, Technische Universität München, Munich, Germany; and
| | - Stephan G Nekolla
- Nuklearmedizinische Klinik und Poliklinik, Klinikum Rechts der Isar, Technische Universität München, Munich, Germany; and
| | - Sibylle I Ziegler
- Nuklearmedizinische Klinik und Poliklinik, Klinikum Rechts der Isar, Technische Universität München, Munich, Germany; and
| |
Collapse
|
3
|
Zhang S, Smailagic N, Hyde C, Noel‐Storr AH, Takwoingi Y, McShane R, Feng J. (11)C-PIB-PET for the early diagnosis of Alzheimer's disease dementia and other dementias in people with mild cognitive impairment (MCI). Cochrane Database Syst Rev 2014; 2014:CD010386. [PMID: 25052054 PMCID: PMC6464750 DOI: 10.1002/14651858.cd010386.pub2] [Citation(s) in RCA: 66] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
BACKGROUND According to the latest revised National Institute of Neurological and Communicative Disorders and Stroke and the Alzheimer's Disease and Related Disorders Association (now known as the Alzheimer's Association) (NINCDS-ADRDA) diagnostic criteria for Alzheimer's disease dementia, the confidence in diagnosing mild cognitive impairment (MCI) due to Alzheimer's disease dementia is raised with the application of imaging biomarkers. These tests, added to core clinical criteria, might increase the sensitivity or specificity of a testing strategy. However, the accuracy of biomarkers in the diagnosis of Alzheimer's disease dementia and other dementias has not yet been systematically evaluated. A formal systematic evaluation of the sensitivity, specificity, and other properties of positron emission tomography (PET) imaging with the (11)C-labelled Pittsburgh Compound-B ((11)C-PIB) ligand was performed. OBJECTIVES To determine the diagnostic accuracy of the (11)C- PIB-PET scan for detecting participants with MCI at baseline who will clinically convert to Alzheimer's disease dementia or other forms of dementia over a period of time. SEARCH METHODS The most recent search for this review was performed on 12 January 2013. We searched MEDLINE (OvidSP), EMBASE (OvidSP), BIOSIS Previews (ISI Web of Knowledge), Web of Science and Conference Proceedings (ISI Web of Knowledge), PsycINFO (OvidSP), and LILACS (BIREME). We also requested a search of the Cochrane Register of Diagnostic Test Accuracy Studies (managed by the Cochrane Renal Group).No language or date restrictions were applied to the electronic searches and methodological filters were not used so as to maximise sensitivity. SELECTION CRITERIA We selected studies that had prospectively defined cohorts with any accepted definition of MCI with baseline (11)C-PIB-PET scan. In addition, we only selected studies that applied a reference standard for Alzheimer's dementia diagnosis for example NINCDS-ADRDA or Diagnostic and Statistical Manual of Mental Disorders-IV (DSM-IV) criteria. DATA COLLECTION AND ANALYSIS We screened all titles generated by electronic database searches. Two review authors independently assessed the abstracts of all potentially relevant studies. The identified full papers were assessed for eligibility and data were extracted to create two by two tables. Two independent assessors performed quality assessment using the QUADAS 2 tool. We used the hierarchical summary receiver operating characteristic (ROC) model to produce a summary ROC curve. MAIN RESULTS Conversion from MCI to Alzheimer's disease dementia was evaluated in nine studies. The quality of the evidence was limited. Of the 274 participants included in the meta-analysis, 112 developed Alzheimer's dementia. Based on the nine included studies, the median proportion converting was 34%. The studies varied markedly in how the PIB scans were done and interpreted.The sensitivities were between 83% and 100% while the specificities were between 46% and 88%. Because of the variation in thresholds and measures of (11)C-PIB amyloid retention, we did not calculate summary sensitivity and specificity. Although subject to considerable uncertainty, to illustrate the potential strengths and weaknesses of (11)C-PIB-PET scans we estimated from the fitted summary ROC curve that the sensitivity was 96% (95% confidence interval (CI) 87 to 99) at the included study median specificity of 58%. This equated to a positive likelihood ratio of 2.3 and a negative likelihood ratio of 0.07. Assuming a typical conversion rate of MCI to Alzheimer's dementia of 34%, for every 100 PIB scans one person with a negative scan would progress and 28 with a positive scan would not actually progress to Alzheimer's dementia.There were limited data for formal investigation of heterogeneity. We performed two sensitivity analyses to assess the influence of type of reference standard and the use of a pre-specified threshold. There was no effect on our findings. AUTHORS' CONCLUSIONS Although the good sensitivity achieved in some included studies is promising for the value of (11)C-PIB-PET, given the heterogeneity in the conduct and interpretation of the test and the lack of defined thresholds for determination of test positivity, we cannot recommend its routine use in clinical practice.(11)C-PIB-PET biomarker is a high cost investigation, therefore it is important to clearly demonstrate its accuracy and standardise the process of the (11)C-PIB diagnostic modality prior to it being widely used.
Collapse
Affiliation(s)
- Shuo Zhang
- China Medical UniversityDepartment of Neurology, Shengjing Hospital36 Shanhao StreetShenyangLiaoningChina110004
| | - Nadja Smailagic
- University of CambridgeInstitute of Public HealthForvie SiteRobinson WayCambridgeUKCB2 0SR
| | - Chris Hyde
- University of Exeter Medical School, University of ExeterInstitute of Health ResearchVeysey BuildingSalmon Pool LaneExeterUKEX2 4SG
| | - Anna H Noel‐Storr
- University of OxfordRadcliffe Department of MedicineRoom 4401c (4th Floor)John Radcliffe Hospital, HeadingtonOxfordUKOX3 9DU
| | - Yemisi Takwoingi
- University of BirminghamPublic Health, Epidemiology and BiostatisticsEdgbastonBirminghamUKB15 2TT
| | - Rupert McShane
- University of OxfordRadcliffe Department of MedicineRoom 4401c (4th Floor)John Radcliffe Hospital, HeadingtonOxfordUKOX3 9DU
| | - Juan Feng
- Shengjing Hospital, China Medical UniversityDepartment of Neurology36 Shanhao StreetShenyangChina110004
| | | |
Collapse
|
4
|
Tanifum EA, Dasgupta I, Srivastava M, Bhavane RC, Sun L, Berridge J, Pourgarzham H, Kamath R, Espinosa G, Cook SC, Eriksen JL, Annapragada A. Intravenous delivery of targeted liposomes to amyloid-β pathology in APP/PSEN1 transgenic mice. PLoS One 2012; 7:e48515. [PMID: 23119043 PMCID: PMC3485335 DOI: 10.1371/journal.pone.0048515] [Citation(s) in RCA: 43] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2012] [Accepted: 09/26/2012] [Indexed: 11/19/2022] Open
Abstract
Extracellular amyloid-β (Aβ) plaques and intracellular neurofibrillary tangles constitute the major neuropathological hallmarks of Alzheimer's disease (AD). It is now apparent that parenchymal Aβ plaque deposition precedes behavioral signs of disease by several years. The development of agents that can target these plaques may be useful as diagnostic or therapeutic tools. In this study, we synthesized an Aβ-targeted lipid conjugate, incorporated it in stealth liposomal nanoparticles and tested their ability to bind amyloid plaque deposits in an AD mouse model. The results show that the particles maintain binding profiles to synthetic Aβ aggregates comparable to the free ligand, and selectively bind Aβ plaque deposits in brain tissue sections of an AD mouse model (APP/PSEN1 transgenic mice) with high efficiency. When administered intravenously, these long circulating nanoparticles appear to cross the blood-brain barrier and bind to Aβ plaque deposits, labeling parenchymal amyloid deposits and vascular amyloid characteristic of cerebral amyloid angiopathy.
Collapse
Affiliation(s)
- Eric A. Tanifum
- Pediatric Radiology, Texas Children’s Hospital, Houston, Texas, United States of America
- School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, Texas, United States of America
| | - Indrani Dasgupta
- School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, Texas, United States of America
| | - Mayank Srivastava
- Pediatric Radiology, Texas Children’s Hospital, Houston, Texas, United States of America
- School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, Texas, United States of America
| | - Rohan C. Bhavane
- Pediatric Radiology, Texas Children’s Hospital, Houston, Texas, United States of America
- School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, Texas, United States of America
| | - Li Sun
- Department of Pharmacology and Pharmaceutical Sciences, University of Houston, Houston, Texas, United States of America
| | - John Berridge
- Department of Pharmacology and Pharmaceutical Sciences, University of Houston, Houston, Texas, United States of America
| | - Hoda Pourgarzham
- Department of Pharmacology and Pharmaceutical Sciences, University of Houston, Houston, Texas, United States of America
| | - Rashmi Kamath
- Pediatric Radiology, Texas Children’s Hospital, Houston, Texas, United States of America
| | - Gabriela Espinosa
- Pediatric Radiology, Texas Children’s Hospital, Houston, Texas, United States of America
| | - Stephen C. Cook
- Fieldstone Partners, Houston, Texas, United States of America
| | - Jason L. Eriksen
- School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, Texas, United States of America
| | - Ananth Annapragada
- Pediatric Radiology, Texas Children’s Hospital, Houston, Texas, United States of America
- School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, Texas, United States of America
- Department of Radiology, Baylor College of Medicine, Houston, Texas, United States of America
| |
Collapse
|
5
|
James ML, Gambhir SS. A molecular imaging primer: modalities, imaging agents, and applications. Physiol Rev 2012; 92:897-965. [PMID: 22535898 DOI: 10.1152/physrev.00049.2010] [Citation(s) in RCA: 702] [Impact Index Per Article: 58.5] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
Molecular imaging is revolutionizing the way we study the inner workings of the human body, diagnose diseases, approach drug design, and assess therapies. The field as a whole is making possible the visualization of complex biochemical processes involved in normal physiology and disease states, in real time, in living cells, tissues, and intact subjects. In this review, we focus specifically on molecular imaging of intact living subjects. We provide a basic primer for those who are new to molecular imaging, and a resource for those involved in the field. We begin by describing classical molecular imaging techniques together with their key strengths and limitations, after which we introduce some of the latest emerging imaging modalities. We provide an overview of the main classes of molecular imaging agents (i.e., small molecules, peptides, aptamers, engineered proteins, and nanoparticles) and cite examples of how molecular imaging is being applied in oncology, neuroscience, cardiology, gene therapy, cell tracking, and theranostics (therapy combined with diagnostics). A step-by-step guide to answering biological and/or clinical questions using the tools of molecular imaging is also provided. We conclude by discussing the grand challenges of the field, its future directions, and enormous potential for further impacting how we approach research and medicine.
Collapse
Affiliation(s)
- Michelle L James
- Molecular Imaging Program, Department of Radiology, Stanford University, Palo Alto, CA 94305, USA
| | | |
Collapse
|
6
|
Vallabhajosula S. Positron emission tomography radiopharmaceuticals for imaging brain Beta-amyloid. Semin Nucl Med 2011; 41:283-99. [PMID: 21624562 DOI: 10.1053/j.semnuclmed.2011.02.005] [Citation(s) in RCA: 65] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Alzheimer's disease (AD) is defined histologically by the presence of extracellular β-amyloid (Aβ) plaques and intraneuronal neurofibrillary tangles in the cerebral cortex. The diagnosis of dementia, along with the prediction of who will develop dementia, has been assisted by magnetic resonance imaging and positron emission tomography (PET) by using [(18)F]fluorodeoxyglucose (FDG). These techniques, however, are not specific for AD. Based on the chemistry of histologic staining dyes, several Aβ-specific positron-emitting radiotracers have been developed to image neuropathology of AD. Among these, [(11)C]PiB is the most studied Aβ-binding PET radiopharmaceutical in the world. The histologic and biochemical specificity of PiB binding across different regions of the AD brain was demonstrated by showing a direct correlation between Aβ-containing amyloid plaques and in vivo [(11)C]PiB retention measured by PET imaging. Because (11)C is not ideal for commercialization, several (18)F-labeled tracers have been developed. At this time, [(18)F]3'-F-PiB (Flutemetamol), (18)F-AV-45 (Florbetapir), and (18)F-AV-1 (Florbetaben) are undergoing extensive phase II and III clinical trials. This article provides a brief review of the amyloid biology and chemistry of Aβ-specific (11)C and (18)F-PET radiopharmaceuticals. Clinical trials have clearly documented that PET radiopharmaceuticals capable of assessing Aβ content in vivo in the brains of AD subjects and subjects with mild cognitive impairment will be important as diagnostic agents to detect in vivo amyloid brain pathology. In addition, PET amyloid imaging will also help test the amyloid cascade hypothesis of AD and as an aid to assess the efficacy of antiamyloid therapeutics currently under development in clinical trials.
Collapse
Affiliation(s)
- Shankar Vallabhajosula
- Division of Nuclear Medicine and Molecular Imaging, Department of Radiology, Weill Cornell Medical College of Cornell University and New York Presbyterian Hospital, NY, USA.
| |
Collapse
|
7
|
Vallabhajosula S, Solnes L, Vallabhajosula B. A Broad Overview of Positron Emission Tomography Radiopharmaceuticals and Clinical Applications: What Is New? Semin Nucl Med 2011; 41:246-64. [PMID: 21624560 DOI: 10.1053/j.semnuclmed.2011.02.003] [Citation(s) in RCA: 68] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
|
8
|
Drzezga A. Amyloid-plaque imaging in early and differential diagnosis of dementia. Ann Nucl Med 2010; 24:55-66. [DOI: 10.1007/s12149-009-0330-9] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2009] [Accepted: 11/20/2009] [Indexed: 12/12/2022]
|
9
|
Molecular Imaging in Neurology and Psychiatry. Mol Imaging 2009. [DOI: 10.1007/978-3-540-76735-0_16] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
|
10
|
Wester HJ, Schoultz BW, Hultsch C, Henriksen G. Fast and repetitive in-capillary production of [18F]FDG. Eur J Nucl Med Mol Imaging 2008; 36:653-8. [PMID: 19037638 DOI: 10.1007/s00259-008-0985-9] [Citation(s) in RCA: 31] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2008] [Accepted: 10/03/2008] [Indexed: 10/21/2022]
Abstract
PURPOSE The increasing demand for radiopharmaceuticals to be provided reproducibly and flexibly with high frequency for clinical application and animal imaging would be better met by improved or even new strategies for automated tracer production. Radiosynthesis in microfluidic systems, i.e. narrow tubing with a diameter of approximately 50-500 microm, holds promise for providing the means for repetitive multidose and multitracer production. In this study, the performance of a conceptually simple microfluidic device integrated into a fully automated synthesis procedure for in-capillary radiosynthesis (ICR) of clinical grade [(18)F]FDG was evaluated. MATERIALS AND METHODS The instrumental set-up consisted of pumps for reagent and solvent delivery into small mixing chambers, micro-fluidic capillaries, in-process radioactivity monitoring, solid-phase extraction and on-column deprotection of the (18)F-labelled intermediate followed by on-line formulation of [(18)F]FDG. RESULTS In-capillary(18)F-fluorination of 2.1 micromol 1,3,4,6-tetra-O-acetyl-2-O-trifluoromethanesulphonyl-beta-D-mannopyranose (TATM; precursor for [(18)F]FDG) in acetonitrile (MeCN) at a flow rate of 0.3 ml/min within 40 s and subsequent on-line hydrolysis of the intermediate by treatment with 0.3 M NaOH for 1 min at 40 degrees C resulted in a radiochemical yield of 88 +/- 4% within <7 min. Reproducibility, robustness and suitability as a fast and efficient radiopharmaceutical research tool for (18)F-fluorination was demonstrated by eight independent, sequentially performed ICRs which provided identical tracer quality (radiochemical purity >97%, MeCN <5 microg/ml) and similar absolute yields (approximately 1.4 GBq). CONCLUSION The described ICR process is a simple and efficient alternative to classic radiotracer production systems and provides a comparatively cheap instrumental methodology for the repetitive production of [(18)F]FDG with remarkably high efficiency and high yield under fully automated conditions. Although the results concerning the levels of activity need to be confirmed after installation of the equipment in a suitable GMP hot-cell environment, we expect the instrumental design to allow up-scaling without major difficulties or fundamental restrictions. Furthermore, we are convinced that similar or nearly identical procedures, and thus instrumentation, will allow ICR of other (18)F-labelled radiopharmaceuticals.
Collapse
Affiliation(s)
- Hans-Jürgen Wester
- Department of Nuclear Medicine, Klinikum rechts der Isar, Technische Universität München, Munich, Germany.
| | | | | | | |
Collapse
|