Dopaminergic Radiopharmaceutical Imaging in Parkinsonian Syndromes: From Molecular Targets to Clinical Decision-Making
Abstract
1. Introduction
2. Literature Search Strategy
3. Neurobiology of the Dopaminergic System
4. Dopaminergic Radiopharmaceuticals and Molecular Imaging Targets
4.1. DAT-Targeted SPECT Radiopharmaceuticals
4.1.1. [123I]Ioflupane ([123I]FP-CIT)
4.1.2. Earlier and Alternative Radioiodinated DAT Ligands
4.1.3. [99mTc]TRODAT-1
4.2. DAT-Targeted PET Radiopharmaceuticals
4.2.1. [18F]FP-CIT
4.2.2. [18F]FE-PE2I
4.2.3. Other DAT-Targeted PET Radioligands
4.3. AADC-Targeted PET Radiopharmaceuticals
4.3.1. 6-[18F]Fluoro-L-DOPA
4.3.2. 6-[18F]Fluoro-L-m-Tyrosine
4.4. VMAT2-Targeted PET Radiopharmaceuticals
4.5. Postsynaptic Dopamine Receptor Imaging
5. Clinical Decision-Making in Parkinsonian Syndromes
5.1. From the Clinical Question to the Imaging Decision
5.2. Degenerative Versus Non-Degenerative Parkinsonism
5.3. Tremor, Drug-Induced, Functional, and Vascular Parkinsonism
5.4. Parkinson’s Disease Versus Atypical Degenerative Parkinsonism
5.5. Dementia with Lewy Bodies and Cognitive Presentations
5.6. Normal, Abnormal, Borderline, and Discordant Results
5.7. Impact on Diagnosis and Patient Management
6. Comparative and Multimodal Imaging Strategies
6.1. SPECT Versus PET Imaging of Presynaptic Dopaminergic Function
6.2. Presynaptic Versus Postsynaptic Dopaminergic Imaging
6.3. Cerebral [18F]FDG PET
6.4. Structural Magnetic Resonance Imaging
6.5. Cardiac [123I]MIBG Scintigraphy
6.6. Genetic Parkinsonism and Genotype-Associated Dopaminergic Imaging
6.7. Integrated Multimodal Diagnostic Strategies
7. Quantification, Artificial Intelligence, and Emerging Approaches
7.1. Semiquantitative Analysis of DAT SPECT
7.2. Quantitative PET and Kinetic Modelling
7.3. AI-Assisted Image Interpretation
7.4. Radiomics and Predictive Modelling
7.5. Emerging Acquisition and Multiparametric Approaches
7.6. Requirements for Clinical Translation
8. Future Perspectives
8.1. DAT Imaging in Prodromal Synucleinopathy
8.2. α-Synuclein PET: Towards Pathology-Specific Imaging
8.3. Pathology-Informed Multimodal Strategies
9. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Abbreviations
| αSyn-SAA | α-Synuclein seed amplification assay |
| Aβ | Amyloid-β |
| AADC | Aromatic L-amino acid decarboxylase |
| AI | Artificial intelligence |
| BBB | Blood–brain barrier |
| BPND | Binding potential relative to the non-displaceable compartment |
| CBS | Corticobasal syndrome |
| CNN | Convolutional neural network |
| COMT | Catechol-O-methyltransferase |
| CSF | Cerebrospinal fluid |
| CT | Computed tomography |
| D1/D5 | Dopamine D1/D5 receptor subtypes |
| D2/D3 | Dopamine D2/D3 receptor subtypes |
| DAT | Dopamine transporter |
| DLB | Dementia with Lewy bodies |
| DMFP | Desmethoxyfallypride |
| DTBZ | Dihydrotetrabenazine |
| EANM/SNMMI | European Association of Nuclear Medicine/Society of Nuclear Medicine and Molecular Imaging |
| FDG | Fluorodeoxyglucose |
| FDOPA | 6-Fluoro-L-DOPA |
| FMT | 6-Fluoro-L-m-tyrosine |
| GBA1 | Glucosylceramidase beta 1 |
| GPCR | G protein-coupled receptor |
| HC | Healthy control |
| IBZM | Iodobenzamide |
| iRBD | Isolated rapid eye movement sleep behaviour disorder |
| Ki | Influx constant |
| L-DOPA | L-3,4-Dihydroxyphenylalanine |
| LAT1 | Large neutral amino acid transporter type 1 |
| LRRK2 | Leucine-rich repeat kinase 2 |
| MAO | Monoamine oxidase |
| MIBG | Metaiodobenzylguanidine |
| ML | Machine learning |
| MRI | Magnetic resonance imaging |
| MSA | Multiple system atrophy |
| MSA-C | Multiple system atrophy with predominant cerebellar ataxia |
| MSA-P | Multiple system atrophy with predominant parkinsonism |
| NET | Noradrenaline transporter |
| NSD-ISS | Neuronal α-synuclein disease integrated staging system |
| PD | Parkinson’s disease |
| PET | Positron emission tomography |
| PINK1 | PTEN-induced kinase 1 |
| PRKN | Parkin RBR E3 ubiquitin protein ligase |
| PSP | Progressive supranuclear palsy |
| R1 | Relative tracer-delivery parameter |
| ROI | Region of interest |
| SBR | Specific binding ratio |
| SERT | Serotonin transporter |
| SNpc | Substantia nigra pars compacta |
| SPECT | Single-photon emission computed tomography |
| SUVR | Standardised uptake value ratio |
| SWEDD | Scans without evidence of dopaminergic deficit |
| SynNeurGe | α-Synuclein pathology, neurodegeneration, and genetics |
| TH | Tyrosine hydroxylase |
| TM | Transmembrane |
| VMAT2 | Vesicular monoamine transporter type 2 |
| VOI | Volume of interest |
References
- Postuma, R.B.; Berg, D.; Stern, M.; Poewe, W.; Olanow, C.W.; Oertel, W.; Obeso, J.; Marek, K.; Litvan, I.; Lang, A.E.; et al. MDS Clinical Diagnostic Criteria for Parkinson’s Disease. Mov. Disord. 2015, 30, 1591–1601. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Nicastro, N.; Nencha, U.; Burkhard, P.R.; Garibotto, V. Dopaminergic Imaging in Degenerative Parkinsonisms, an Established Clinical Diagnostic Tool. J. Neurochem. 2023, 164, 346–363. [Google Scholar] [CrossRef] [Scilit]
- Morbelli, S.; Esposito, G.; Arbizu, J.; Barthel, H.; Boellaard, R.; Bohnen, N.I.; Brooks, D.J.; Darcourt, J.; Dickson, J.C.; Douglas, D.; et al. EANM Practice Guideline/SNMMI Procedure Standard for Dopaminergic Imaging in Parkinsonian Syndromes 1.0. Eur. J. Nucl. Med. Mol. Imaging 2020, 47, 1885–1912. [Google Scholar] [CrossRef] [Scilit]
- Wallert, E.D.; van de Giessen, E.; Knol, R.J.J.; Beudel, M.; de Bie, R.M.A.; Booij, J. Imaging Dopaminergic Neurotransmission in Neurodegenerative Disorders. J. Nucl. Med. 2022, 63, 27S–32S. [Google Scholar] [CrossRef] [Scilit]
- Zhu, L.; Ploessl, K.; Kung, H.F. PET/SPECT Imaging Agents for Neurodegenerative Diseases. Chem. Soc. Rev. 2014, 43, 6683–6691. [Google Scholar] [CrossRef] [Scilit]
- Committee for Medicinal Products for Human Use (CHMP). Summary of Opinion (Initial Authorisation): Striascan; EMA/CHMP/225317/2019; European Medicines Agency: Amsterdam, The Netherlands, 2019; Available online: https://www.ema.europa.eu/en/documents/smop-initial/chmp-summary-positive-opinion-striascan_en.pdf (accessed on 23 August 2026).
- U.S. Food and Drug Administration. ANDA Approval: Ioflupane I-123 Injection; ANDA 213792; U.S. Food and Drug Administration: Silver Spring, MD, USA, 2022. Available online: https://www.accessdata.fda.gov/drugsatfda_docs/appletter/2022/213792Orig1s000ltr.pdf (accessed on 23 August 2026).
- Mercer, M.K.; Revels, J.W.; Blacklock, L.C.; Banks, K.P.; Johnson, L.S.; Lewis, D.H.; Kuo, P.H.; Wilson, S.; Elojeimy, S. Practical Overview of 123I-Ioflupane Imaging in Parkinsonian Syndromes. Radiographics 2024, 44, e230133. [Google Scholar] [CrossRef] [Scilit]
- Cummings, J.L.; Henchcliffe, C.; Schaier, S.; Simuni, T.; Waxman, A.; Kemp, P. The Role of Dopaminergic Imaging in Patients with Symptoms of Dopaminergic System Neurodegeneration. Brain 2011, 134, 3146–3166. [Google Scholar] [CrossRef] [Scilit]
- Sung, C.; Oh, S.J.; Kim, J.S. Imaging Procedure and Clinical Studies of [18F]FP-CIT PET. Nucl. Med. Mol. Imaging 2024, 58, 185–202. [Google Scholar] [CrossRef] [Scilit]
- Gerfen, C.R.; Engber, T.M.; Mahan, L.C.; Susel, Z.; Chase, T.N.; Monsma, F.J.; Sibley, D.R. D1 and D2 Dopamine Receptor-Regulated Gene Expression of Striatonigral and Striatopallidal Neurons. Science 1990, 250, 1429–1432. [Google Scholar] [CrossRef] [Scilit]
- Nirenberg, M.J.; Vaughan, R.A.; Uhl, G.R.; Kuhar, M.J.; Pickel, V.M. The Dopamine Transporter Is Localized to Dendritic and Axonal Plasma Membranes of Nigrostriatal Dopaminergic Neurons. J. Neurosci. 1996, 16, 436–447. [Google Scholar] [CrossRef] [Scilit]
- Kish, S.J.; Shannak, K.; Hornykiewicz, O. Uneven Pattern of Dopamine Loss in the Striatum of Patients with Idiopathic Parkinson’s Disease. N. Engl. J. Med. 1988, 318, 876–880. [Google Scholar] [CrossRef] [Scilit]
- Lee, C.S.; Samii, A.; Sossi, V.; Ruth, T.J.; Schulzer, M.; Holden, J.E.; Wudel, J.; Pal, P.K.; de la Fuente-Fernandez, R.; Calne, D.B.; et al. In Vivo Positron Emission Tomographic Evidence for Compensatory Changes in Presynaptic Dopaminergic Nerve Terminals in Parkinson’s Disease. Ann. Neurol. 2000, 47, 493–503. [Google Scholar]
- Martini, A.L.; Sestini, S.; Guarino, D.S.; Feraco, P. Nuclear Medicine Imaging Biomarkers in Parkinson’s Disease: Past, Present, and Future Directions. Med. Sci. 2025, 13, 308. [Google Scholar] [CrossRef] [Scilit]
- Kilbourn, M.R. 11C- and 18F-Radiotracers for In Vivo Imaging of the Dopamine System: Past, Present and Future. Biomedicines 2021, 9, 108. [Google Scholar] [CrossRef] [Scilit]
- Palermo, G.; Giannoni, S.; Bellini, G.; Siciliano, G.; Ceravolo, R. Dopamine Transporter Imaging, Current Status of a Potential Biomarker: A Comprehensive Review. Int. J. Mol. Sci. 2021, 22, 11234. [Google Scholar] [CrossRef] [Scilit]
- Booij, J.; Tissingh, G.; Boer, G.J.; Speelman, J.D.; Stoof, J.C.; Janssen, A.G.; Wolters, E.C.; van Royen, E.A. [123I]FP-CIT SPECT Shows a Pronounced Decline of Striatal Dopamine Transporter Labelling in Early and Advanced Parkinson’s Disease. J. Neurol. Neurosurg. Psychiatry 1997, 62, 133–140. [Google Scholar] [CrossRef] [Scilit]
- Booij, J.; Tissingh, G.; Winogrodzka, A.; Boer, G.J.; Stoof, J.C.; Wolters, E.C.; van Royen, E.A. Practical Benefit of [123I]FP-CIT SPET in the Demonstration of the Dopaminergic Deficit in Parkinson’s Disease. Eur. J. Nucl. Med. 1997, 24, 68–71. [Google Scholar] [CrossRef] [Scilit]
- Kuikka, J.T.; Baulieu, J.L.; Hiltunen, J.; Halldin, C.; Bergström, K.A.; Farde, L.; Emond, P.; Chalon, S.; Yu, M.; Nikula, T.; et al. Pharmacokinetics and Dosimetry of Iodine-123 Labelled PE2I in Humans, a Radioligand for Dopamine Transporter Imaging. Eur. J. Nucl. Med. 1998, 25, 531–534. [Google Scholar] [CrossRef] [Scilit]
- Mozley, P.D.; Schneider, J.S.; Acton, P.D.; Plössl, K.; Stern, M.B.; Siderowf, A.; Leopold, N.A.; Li, P.Y.; Alavi, A.; Kung, H.F. Binding of [99mTc]TRODAT-1 to Dopamine Transporters in Patients with Parkinson’s Disease and in Healthy Volunteers. J. Nucl. Med. 2000, 41, 584–589. [Google Scholar]
- Prange, S.; Theis, H.; Banwinkler, M.; van Eimeren, T. Molecular Imaging in Parkinsonian Disorders—What’s New and Hot? Brain Sci. 2022, 12, 1146. [Google Scholar] [CrossRef] [Scilit]
- Lee, I.; Kim, J.S.; Park, J.Y.; Byun, B.H.; Park, S.Y.; Choi, J.H.; Moon, H.; Kim, J.Y.; Lee, K.C.; Chi, D.Y.; et al. Head-to-Head Comparison of 18F-FP-CIT and 123I-FP-CIT for Dopamine Transporter Imaging in Patients with Parkinson’s Disease: A Preliminary Study. Synapse 2018, 72, e22032. [Google Scholar] [CrossRef] [Scilit]
- Jakobson Mo, S.; Axelsson, J.; Jonasson, L.; Larsson, A.; Ögren, M.J.; Ögren, M.; Varrone, A.; Eriksson, L.; Bäckström, D.; Af Bjerkén, S.; et al. Dopamine Transporter Imaging with [18F]FE-PE2I PET and [123I]FP-CIT SPECT—A Clinical Comparison. EJNMMI Res. 2018, 8, 100. [Google Scholar] [CrossRef] [Scilit]
- Halldin, C.; Erixon-Lindroth, N.; Pauli, S.; Chou, Y.-H.; Okubo, Y.; Karlsson, P.; Lundkvist, C.; Olsson, H.; Guilloteau, D.; Emond, P.; et al. [11C]PE2I: A Highly Selective Radioligand for PET Examination of the Dopamine Transporter in Monkey and Human Brain. Eur. J. Nucl. Med. Mol. Imaging 2003, 30, 1220–1230. [Google Scholar] [CrossRef] [Scilit]
- Davis, M.R.; Votaw, J.R.; Bremner, J.D.; Byas-Smith, M.G.; Faber, T.L.; Voll, R.J.; Hoffman, J.M.; Grafton, S.T.; Kilts, C.D.; Goodman, M.M. Initial Human PET Imaging Studies with the Dopamine Transporter Ligand 18F-FECNT. J. Nucl. Med. 2003, 44, 855–861. [Google Scholar]
- Arlicot, N.; Vercouillie, J.; Malherbe, C.; Bidault, R.; Gissot, V.; Maia, S.; Barantin, L.; Cottier, J.-P.; Deloye, J.-B.; Guilloteau, D.; et al. Imaging of Dopamine Transporter with [18F]LBT-999: Initial Evaluation in Healthy Volunteers. Q. J. Nucl. Med. Mol. Imaging 2022, 66, 148–155. [Google Scholar] [CrossRef] [Scilit]
- Ishikawa, T.; Dhawan, V.; Chaly, T.; Robeson, W.; Belakhlef, A.; Mandel, F.; Dahl, R.; Margouleff, C.; Eidelberg, D. Fluorodopa Positron Emission Tomography with an Inhibitor of Catechol-O-Methyltransferase: Effect of the Plasma 3-O-Methyldopa Fraction on Data Analysis. J. Cereb. Blood Flow Metab. 1996, 16, 854–863. [Google Scholar] [CrossRef] [Scilit]
- Doudet, D.J.; Chan, G.L.; Jivan, S.; DeJesus, O.T.; McGeer, E.G.; English, C.; Ruth, T.J.; Holden, J.E. Evaluation of Dopaminergic Presynaptic Integrity: 6-[18F]Fluoro-L-Dopa versus 6-[18F]Fluoro-L-m-Tyrosine. J. Cereb. Blood Flow Metab. 1999, 19, 278–287. [Google Scholar] [CrossRef] [Scilit]
- Brown, W.D.; DeJesus, O.T.; Pyzalski, R.W.; Malischke, L.; Roberts, A.D.; Shelton, S.E.; Uno, H.; Houser, W.D.; Nickles, R.J.; Holden, J.E. Localization of Trapping of 6-[(18)F]Fluoro-L-m-Tyrosine, an Aromatic L-Amino Acid Decarboxylase Tracer for PET. Synapse 1999, 34, 111–123. [Google Scholar]
- Frey, K.A.; Koeppe, R.A.; Kilbourn, M.R.; Vander Borght, T.M.; Albin, R.L.; Gilman, S.; Kuhl, D.E. Presynaptic Monoaminergic Vesicles in Parkinson’s Disease and Normal Aging. Ann. Neurol. 1996, 40, 873–884. [Google Scholar] [CrossRef] [Scilit]
- Okamura, N.; Villemagne, V.L.; Drago, J.; Pejoska, S.; Dhamija, R.K.; Mulligan, R.S.; Ellis, J.R.; Ackermann, U.; O’Keefe, G.; Jones, G.; et al. In Vivo Measurement of Vesicular Monoamine Transporter Type 2 Density in Parkinson Disease with 18F-AV-133. J. Nucl. Med. 2010, 51, 223–228. [Google Scholar] [CrossRef] [Scilit]
- Innis, R.B.; Malison, R.T.; al-Tikriti, M.; Hoffer, P.B.; Sybirska, E.H.; Seibyl, J.P.; Zoghbi, S.S.; Baldwin, R.M.; Laruelle, M.; Smith, E.O.; et al. Amphetamine-Stimulated Dopamine Release Competes In Vivo for [123I]IBZM Binding to the D2 Receptor in Nonhuman Primates. Synapse 1992, 10, 177–184. [Google Scholar] [CrossRef] [Scilit]
- Antonini, A.; Schwarz, J.; Oertel, W.H.; Pogarell, O.; Leenders, K.L. Long-Term Changes of Striatal Dopamine D2 Receptors in Patients with Parkinson’s Disease: A Study with Positron Emission Tomography and [11C]Raclopride. Mov. Disord. 1997, 12, 33–38. [Google Scholar] [CrossRef] [Scilit]
- la Fougère, C.; Pöpperl, G.; Levin, J.; Wängler, B.; Böning, G.; Uebleis, C.; Cumming, P.; Bartenstein, P.; Bötzel, K.; Tatsch, K. The Value of the Dopamine D2/3 Receptor Ligand 18F-Desmethoxyfallypride for the Differentiation of Idiopathic and Nonidiopathic Parkinsonian Syndromes. J. Nucl. Med. 2010, 51, 581–587. [Google Scholar] [CrossRef] [Scilit]
- Leslie, W.D.; Abrams, D.N.; Greenberg, C.R.; Hobson, D. Comparison of Iodine-123-Epidepride and Iodine-123-IBZM for Dopamine D2 Receptor Imaging. J. Nucl. Med. 1996, 37, 1589–1591. [Google Scholar]
- Mattsson, S.; Johansson, L.; Leide Svegborn, S.; Liniecki, J.; Noßke, D.; Riklund, K.Å.; Stabin, M.; Taylor, D.; Bolch, W.; Carlsson, S.; et al. Radiation Dose to Patients from Radiopharmaceuticals: A Compendium of Current Information Related to Frequently Used Substances. Ann. ICRP 2015, 44, 7–321. [Google Scholar] [CrossRef] [Scilit]
- Lizana, H.; Johansson, L.; Axelsson, J.; Larsson, A.; Ögren, M.; Linder, J.; Halldin, C.; Varrone, A.; Mo, S.J. Whole-Body Biodistribution and Dosimetry of the Dopamine Transporter Radioligand 18F-FE-PE2I in Human Subjects. J. Nucl. Med. 2018, 59, 1275–1280. [Google Scholar] [CrossRef] [Scilit]
- Robeson, W.; Dhawan, V.; Belakhlef, A.; Ma, Y.; Pillai, V.; Chaly, T.; Margouleff, C.; Bjelke, D.; Eidelberg, D. Dosimetry of the Dopamine Transporter Radioligand 18F-FPCIT in Human Subjects. J. Nucl. Med. 2003, 44, 961–966. [Google Scholar]
- Booij, J.; Busemann Sokole, E.; Stabin, M.G.; Janssen, A.G.; de Bruin, K.; van Royen, E.A. Human Biodistribution and Dosimetry of [123I]FP-CIT: A Potent Radioligand for Imaging of Dopamine Transporters. Eur. J. Nucl. Med. 1998, 25, 24–30. [Google Scholar] [CrossRef] [Scilit]
- Catafau, A.M.; Tolosa, E. DaTSCAN Clinically Uncertain Parkinsonian Syndromes Study Group. Impact of Dopamine Transporter SPECT Using 123I-Ioflupane on Diagnosis and Management of Patients with Clinically Uncertain Parkinsonian Syndromes. Mov. Disord. 2004, 19, 1175–1182. [Google Scholar] [CrossRef] [Scilit]
- Bega, D.; Kuo, P.H.; Chalkidou, A.; Grzeda, M.T.; Macmillan, T.; Brand, C.; Sheikh, Z.H.; Antonini, A. Clinical Utility of DaTscan in Patients with Suspected Parkinsonian Syndrome: A Systematic Review and Meta-Analysis. npj Park. Dis. 2021, 7, 43. [Google Scholar] [CrossRef] [Scilit]
- Sterne, J.A.C.; Sutton, A.J.; Ioannidis, J.P.A.; Terrin, N.; Jones, D.R.; Lau, J.; Carpenter, J.; Rücker, G.; Harbord, R.M.; Schmid, C.H.; et al. Recommendations for Examining and Interpreting Funnel Plot Asymmetry in Meta-Analyses of Randomised Controlled Trials. BMJ 2011, 343, d4002. [Google Scholar] [CrossRef] [Scilit]
- Scherfler, C.; Schwarz, J.; Antonini, A.; Grosset, D.; Valldeoriola, F.; Marek, K.; Oertel, W.; Tolosa, E.; Lees, A.J.; Poewe, W. Role of DAT-SPECT in the Diagnostic Work up of Parkinsonism. Mov. Disord. 2007, 22, 1229–1238. [Google Scholar] [CrossRef] [Scilit]
- McKeith, I.G.; Boeve, B.F.; Dickson, D.W.; Halliday, G.; Taylor, J.-P.; Weintraub, D.; Aarsland, D.; Galvin, J.; Attems, J.; Ballard, C.G.; et al. Diagnosis and management of dementia with Lewy bodies: Fourth consensus report of the DLB Consortium. Neurology 2017, 89, 88–100. [Google Scholar] [CrossRef] [Scilit]
- Brigo, F.; Matinella, A.; Erro, R.; Tinazzi, M. [123I]FP-CIT SPECT (DaTSCAN) May Be a Useful Tool to Differentiate between Parkinson’s Disease and Vascular or Drug-Induced Parkinsonisms: A Meta-Analysis. Eur. J. Neurol. 2014, 21, 1369-e90. [Google Scholar] [CrossRef] [Scilit]
- McKeith, I.; O’Brien, J.; Walker, Z.; Tatsch, K.; Booij, J.; Darcourt, J.; Padovani, A.; Giubbini, R.; Bonuccelli, U.; Volterrani, D.; et al. Sensitivity and Specificity of Dopamine Transporter Imaging with 123I-FP-CIT SPECT in Dementia with Lewy Bodies: A Phase III, Multicentre Study. Lancet Neurol. 2007, 6, 305–313. [Google Scholar] [CrossRef] [Scilit]
- Marek, K.; Seibyl, J.; Eberly, S.; Oakes, D.; Shoulson, I.; Lang, A.E.; Hyson, C.; Jennings, D.; Parkinson Study Group PRECEPT Investigators. Longitudinal Follow-up of SWEDD Subjects in the PRECEPT Study. Neurology 2014, 82, 1791–1797. [Google Scholar] [CrossRef] [Scilit]
- Chahid, Y.; Sheikh, Z.H.; Mitropoulos, M.; Booij, J. A Systematic Review of the Potential Effects of Medications and Drugs of Abuse on Dopamine Transporter Imaging Using [123I]I-FP-CIT SPECT in Routine Practice. Eur. J. Nucl. Med. Mol. Imaging 2023, 50, 1974–1987. [Google Scholar] [CrossRef] [Scilit]
- Antonini, A.; Berto, P.; Lopatriello, S.; Tamma, F.; Annemans, L.; Chambers, M. Cost-Effectiveness of 123I-FP-CIT SPECT in the Differential Diagnosis of Essential Tremor and Parkinson’s Disease in Italy. Mov. Disord. 2008, 23, 2202–2209. [Google Scholar] [CrossRef] [Scilit]
- Meyer, P.T.; Frings, L.; Rücker, G.; Hellwig, S. 18F-FDG PET in Parkinsonism: Differential Diagnosis and Evaluation of Cognitive Impairment. J. Nucl. Med. 2017, 58, 1888–1898. [Google Scholar] [CrossRef] [Scilit]
- Tang, C.C.; Poston, K.L.; Eckert, T.; Feigin, A.; Frucht, S.; Gudesblatt, M.; Dhawan, V.; Lesser, M.; Vonsattel, J.-P.; Fahn, S.; et al. Differential Diagnosis of Parkinsonism: A Metabolic Imaging Study Using Pattern Analysis. Lancet Neurol. 2010, 9, 149–158. [Google Scholar] [CrossRef] [Scilit]
- Garraux, G.; Phillips, C.; Schrouff, J.; Kreisler, A.; Lemaire, C.; Degueldre, C.; Delcour, C.; Hustinx, R.; Luxen, A.; Destée, A.; et al. Multiclass Classification of FDG PET Scans for the Distinction between Parkinson’s Disease and Atypical Parkinsonian Syndromes. Neuroimage Clin. 2013, 2, 883–893. [Google Scholar] [CrossRef] [Scilit]
- Wenning, G.K.; Stankovic, I.; Vignatelli, L.; Fanciulli, A.; Calandra-Buonaura, G.; Seppi, K.; Palma, J.-A.; Meissner, W.G.; Krismer, F.; Berg, D.; et al. The Movement Disorder Society Criteria for the Diagnosis of Multiple System Atrophy. Mov. Disord. 2022, 37, 1131–1148. [Google Scholar] [CrossRef] [Scilit]
- Brinia, M.-E.; Kapsali, I.; Giagkou, N.; Constantinides, V.C. Planimetric and Volumetric Brainstem MRI Markers in Progressive Supranuclear Palsy, Multiple System Atrophy, and Corticobasal Syndrome. A Systematic Review and Meta-Analysis. Neurol. Int. 2023, 16, 1–19. [Google Scholar] [CrossRef] [Scilit]
- Orimo, S.; Suzuki, M.; Inaba, A.; Mizusawa, H. 123I-MIBG Myocardial Scintigraphy for Differentiating Parkinson’s Disease from Other Neurodegenerative Parkinsonism: A Systematic Review and Meta-Analysis. Park. Relat. Disord. 2012, 18, 494–500. [Google Scholar] [CrossRef] [Scilit]
- Brumberg, J.; Schröter, N.; Blazhenets, G.; Frings, L.; Volkmann, J.; Lapa, C.; Jost, W.H.; Isaias, I.U.; Meyer, P.T. Differential Diagnosis of Parkinsonism: A Head-to-Head Comparison of FDG PET and MIBG Scintigraphy. npj Park. Dis. 2020, 6, 39. [Google Scholar] [CrossRef] [Scilit]
- Meneghini, C.; Gallo, L.; Sala, A.; Valente, E.M.; Avenali, M.; Caminiti, S.P. Tracking Genetic Parkinson’s Disease with Molecular Imaging: A Systematic Review. Mov. Disord. Clin. Pract. 2026. [Google Scholar] [CrossRef] [Scilit]
- Simuni, T.; Uribe, L.; Cho, H.R.; Caspell-Garcia, C.; Coffey, C.S.; Siderowf, A.; Trojanowski, J.Q.; Shaw, L.M.; Seibyl, J.; Singleton, A.; et al. Clinical and Dopamine Transporter Imaging Characteristics of Non-Manifest LRRK2 and GBA Mutation Carriers in the Parkinson’s Progression Markers Initiative (PPMI): A Cross-Sectional Study. Lancet Neurol. 2020, 19, 71–80. [Google Scholar] [CrossRef] [Scilit]
- Adams, J.R.; van Netten, H.; Schulzer, M.; Mak, E.; Mckenzie, J.; Strongosky, A.; Sossi, V.; Ruth, T.J.; Lee, C.S.; Farrer, M.; et al. PET in LRRK2 Mutations: Comparison to Sporadic Parkinson’s Disease and Evidence for Presymptomatic Compensation. Brain 2005, 128, 2777–2785. [Google Scholar] [CrossRef] [Scilit]
- Pavese, N.; Khan, N.L.; Scherfler, C.; Cohen, L.; Brooks, D.J.; Wood, N.W.; Bhatia, K.P.; Quinn, N.P.; Lees, A.J.; Piccini, P. Nigrostriatal Dysfunction in Homozygous and Heterozygous Parkin Gene Carriers: An 18F-Dopa PET Progression Study. Mov. Disord. 2009, 24, 2260–2266. [Google Scholar] [CrossRef] [Scilit]
- Weng, Y.-H.; Chou, Y.-H.W.; Wu, W.-S.; Lin, K.-J.; Chang, H.-C.; Yen, T.-C.; Chen, R.-S.; Wey, S.-P.; Lu, C.-S. PINK1 Mutation in Taiwanese Early-Onset Parkinsonism: Clinical, Genetic, and Dopamine Transporter Studies. J. Neurol. 2007, 254, 1347–1355. [Google Scholar] [CrossRef] [Scilit]
- Emsen, B.; Villafane, G.; David, J.-P.; Evangelista, E.; Chalaye, J.; Lerman, L.; Authier, F.-J.; Gracies, J.-M.; Itti, E. Clinical Impact of Dual-Tracer FDOPA and FDG PET/CT for the Evaluation of Patients with Parkinsonian Syndromes. Medicine 2020, 99, e23060. [Google Scholar] [CrossRef] [Scilit]
- Sinisterra Solís, F.A.; Romero Castellanos, F.R.; Cortés Mancera, E.A.; Calderón Ávila, A.L.; González Rueda, S.D.; Rosales García, J.S.; Kerik Rotenberg, N.E.; Tristán Samaniego, D.P.; Bonilla Navarrete, A.M. Brain Evaluation by Dual PET/CT with [18F] FDOPA and [18F] FDG in Differential Diagnosis of Parkinsonian Syndromes. Brain Sci. 2024, 14, 930. [Google Scholar] [CrossRef] [Scilit]
- Söderlund, T.A.; Dickson, J.C.; Prvulovich, E.; Ben-Haim, S.; Kemp, P.; Booij, J.; Nobili, F.; Thomsen, G.; Sabri, O.; Koulibaly, P.-M.; et al. Value of Semiquantitative Analysis for Clinical Reporting of 123I-2-β-Carbomethoxy-3β-(4-Iodophenyl)-N-(3-Fluoropropyl)Nortropane SPECT Studies. J. Nucl. Med. 2013, 54, 714–722. [Google Scholar] [CrossRef] [Scilit]
- Varrone, A.; Dickson, J.C.; Tossici-Bolt, L.; Sera, T.; Asenbaum, S.; Booij, J.; Kapucu, O.L.; Kluge, A.; Knudsen, G.M.; Koulibaly, P.M.; et al. European Multicentre Database of Healthy Controls for [123I]FP-CIT SPECT (ENC-DAT): Age-Related Effects, Gender Differences and Evaluation of Different Methods of Analysis. Eur. J. Nucl. Med. Mol. Imaging 2013, 40, 213–227. [Google Scholar] [CrossRef] [Scilit]
- Tossici-Bolt, L.; Dickson, J.C.; Sera, T.; Booij, J.; Asenbaun-Nan, S.; Bagnara, M.C.; Borght, T.V.; Jonsson, C.; de Nijs, R.; Hesse, S.; et al. [123I]FP-CIT ENC-DAT Normal Database: The Impact of the Reconstruction and Quantification Methods. EJNMMI Phys. 2017, 4, 8. [Google Scholar] [CrossRef] [Scilit]
- Delva, A.; Van Weehaeghe, D.; van Aalst, J.; Ceccarini, J.; Koole, M.; Baete, K.; Nuyts, J.; Vandenberghe, W.; Van Laere, K. Quantification and Discriminative Power of 18F-FE-PE2I PET in Patients with Parkinson’s Disease. Eur. J. Nucl. Med. Mol. Imaging 2020, 47, 1913–1926. [Google Scholar] [CrossRef] [Scilit]
- Brumberg, J.; Kerstens, V.; Cselényi, Z.; Svenningsson, P.; Sundgren, M.; Fazio, P.; Varrone, A. Simplified Quantification of [18F]FE-PE2I PET in Parkinson’s Disease: Discriminative Power, Test-Retest Reliability and Longitudinal Validity during Early Peak and Late Pseudo-Equilibrium. J. Cereb. Blood Flow Metab. 2021, 41, 1291–1300. [Google Scholar] [CrossRef] [Scilit]
- Kerstens, V.S.; Fazio, P.; Sundgren, M.; Matheson, G.J.; Franzén, E.; Halldin, C.; Cervenka, S.; Svenningsson, P.; Varrone, A. Reliability of Dopamine Transporter PET Measurements with [18F]FE-PE2I in Patients with Parkinson’s Disease. EJNMMI Res. 2020, 10, 95. [Google Scholar] [CrossRef] [Scilit]
- Kerstens, V.S.; Fazio, P.; Sundgren, M.; Brumberg, J.; Halldin, C.; Svenningsson, P.; Varrone, A. Longitudinal DAT Changes Measured with [18F]FE-PE2I PET in Patients with Parkinson’s Disease; a Validation Study. Neuroimage Clin. 2023, 37, 103347. [Google Scholar] [CrossRef] [Scilit]
- Dotinga, M.; van Dijk, J.D.; Vendel, B.N.; Slump, C.H.; Portman, A.T.; van Dalen, J.A. Clinical Value of Machine Learning-Based Interpretation of I-123 FP-CIT Scans to Detect Parkinson’s Disease: A Two-Center Study. Ann. Nucl. Med. 2021, 35, 378–385. [Google Scholar] [CrossRef] [Scilit]
- Budenkotte, T.; Apostolova, I.; Opfer, R.; Krüger, J.; Klutmann, S.; Buchert, R. Automated Identification of Uncertain Cases in Deep Learning-Based Classification of Dopamine Transporter SPECT to Improve Clinical Utility and Acceptance. Eur. J. Nucl. Med. Mol. Imaging 2024, 51, 1333–1344. [Google Scholar] [CrossRef] [Scilit]
- Buddenkotte, T.; Lange, C.; Klutmann, S.; Apostolova, I.; Buchert, R. Fully Automatic Categorical Analysis of Striatal Subregions in Dopamine Transporter SPECT Using a Convolutional Neural Network. Ann. Nucl. Med. 2025, 39, 618–630. [Google Scholar] [CrossRef] [Scilit]
- Tang, J.; Yang, B.; Adams, M.P.; Shenkov, N.N.; Klyuzhin, I.S.; Fotouhi, S.; Davoodi-Bojd, E.; Lu, L.; Soltanian-Zadeh, H.; Sossi, V.; et al. Artificial Neural Network-Based Prediction of Outcome in Parkinson’s Disease Patients Using DaTscan SPECT Imaging Features. Mol. Imaging Biol. 2019, 21, 1165–1173. [Google Scholar] [CrossRef] [Scilit]
- Tejani, A.S.; Klontzas, M.E.; Gatti, A.A.; Mongan, J.T.; Moy, L.; Park, S.H.; Kahn, C.E., Jr.; CLAIM 2024 Update Panel. Checklist for Artificial Intelligence in Medical Imaging (CLAIM): 2024 Update. Radiol. Artif. Intell. 2024, 6, e240300. [Google Scholar] [CrossRef] [Scilit]
- Collins, G.S.; Moons, K.G.M.; Dhiman, P.; Riley, R.D.; Beam, A.L.; Van Calster, B.; Ghassemi, M.; Liu, X.; Reitsma, J.B.; van Smeden, M.; et al. TRIPOD+AI Statement: Updated Guidance for Reporting Clinical Prediction Models That Use Regression or Machine Learning Methods. BMJ 2024, 385, e078378. [Google Scholar] [CrossRef] [Scilit]
- Buchert, R.; Szabo, B.; Kovacs, A.; Buddenkotte, T.; Mathies, F.; Karimzadeh, A.; Lehnert, W.; Klutmann, S.; Forgacs, A.; Apostolova, I. Dopamine Transporter SPECT with 12-Minute Scan Duration Using Multiple-Pinhole Collimators. J. Nucl. Med. 2024, 65, 446–452. [Google Scholar] [CrossRef] [Scilit]
- Jakobson Mo, S.; Axelsson, J.; Stiernman, L.; Riklund, K. Validation of Dynamic [18F]FE-PE2I PET for Estimation of Relative Regional Cerebral Blood Flow: A Comparison with [15O]H2O PET. EJNMMI Res. 2022, 12, 72. [Google Scholar] [CrossRef] [Scilit]
- Stephenson, D.; Hill, D.; Cedarbaum, J.M.; Tome, M.; Vamvakas, S.; Romero, K.; Conrado, D.J.; Dexter, D.T.; Seibyl, J.; Jennings, D.; et al. The Qualification of an Enrichment Biomarker for Clinical Trials Targeting Early Stages of Parkinson’s Disease. J. Park. Dis. 2019, 9, 553–563. [Google Scholar] [CrossRef] [Scilit]
- Iranzo, A.; Santamaría, J.; Valldeoriola, F.; Serradell, M.; Salamero, M.; Gaig, C.; Niñerola-Baizán, A.; Sánchez-Valle, R.; Lladó, A.; De Marzi, R.; et al. Dopamine Transporter Imaging Deficit Predicts Early Transition to Synucleinopathy in Idiopathic Rapid Eye Movement Sleep Behavior Disorder. Ann. Neurol. 2017, 82, 419–428. [Google Scholar] [CrossRef] [Scilit]
- Jennings, D.; Siderowf, A.; Stern, M.; Seibyl, J.; Eberly, S.; Oakes, D.; Marek, K.; PARS Investigators. Conversion to Parkinson Disease in the PARS Hyposmic and Dopamine Transporter-Deficit Prodromal Cohort. JAMA Neurol. 2017, 74, 933–940. [Google Scholar] [CrossRef] [Scilit]
- Arnaldi, D.; Chincarini, A.; Hu, M.T.; Sonka, K.; Boeve, B.; Miyamoto, T.; Puligheddu, M.; De Cock, V.C.; Terzaghi, M.; Plazzi, G.; et al. Dopaminergic Imaging and Clinical Predictors for Phenoconversion of REM Sleep Behaviour Disorder. Brain 2021, 144, 278–287. [Google Scholar] [CrossRef] [Scilit]
- Arnaldi, D.; Mattioli, P.; Raffa, S.; Pardini, M.; Massa, F.; Iranzo, A.; Perissinotti, A.; Niñerola-Baizán, A.; Gaig, C.; Serradell, M.; et al. Presynaptic Dopaminergic Imaging Characterizes Patients with REM Sleep Behavior Disorder Due to Synucleinopathy. Ann. Neurol. 2024, 95, 1178–1192. [Google Scholar] [CrossRef] [Scilit]
- Arnaldi, D.; Mattioli, P.; Orso, B.; Raffa, S.; Lanfranchi, F.; Massa, F.; Iranzo, A.; Perissinotti, A.; Niñerola-Baizán, A.; Gaig, C.; et al. Presynaptic Dopaminergic Imaging as a Neurodegeneration Staging Biomarker in the Alpha-Synucleinopathy Continuum. Eur. J. Nucl. Med. Mol. Imaging 2026, 53, 4677–4688. [Google Scholar] [CrossRef] [Scilit]
- Smith, R.; Capotosti, F.; Schain, M.; Ohlsson, T.; Vokali, E.; Molette, J.; Touilloux, T.; Hliva, V.; Dimitrakopoulos, I.K.; Puschmann, A.; et al. The α-Synuclein PET Tracer [18F] ACI-12589 Distinguishes Multiple System Atrophy from Other Neurodegenerative Diseases. Nat. Commun. 2023, 14, 6750. [Google Scholar] [CrossRef] [Scilit]
- Endo, H.; Ono, M.; Takado, Y.; Matsuoka, K.; Takahashi, M.; Tagai, K.; Kataoka, Y.; Hirata, K.; Takahata, K.; Seki, C.; et al. Imaging α-Synuclein Pathologies in Animal Models and Patients with Parkinson’s and Related Diseases. Neuron 2024, 112, 2540–2557.e8. [Google Scholar] [CrossRef] [Scilit]
- Pees, A.; Grotegerd, A.-K.; Bleher, D.; Herfert, K.; Vasdev, N. PET Imaging of Alpha-Synuclein: From Radiotracer Design through In Vitro and In Vivo Translation. Eur. J. Nucl. Med. Mol. Imaging 2026, 53, 4211–4239. [Google Scholar] [CrossRef] [Scilit]
- Varlow, C.; Pees, A.; Stehouwer, J.S.; Grotegerd, A.-K.; Bleher, D.; Guarino, D.S.; Lindberg, A.; Tong, J.; Lopresti, B.J.; Knight, A.C.; et al. Autoradiography and Preclinical PET Studies with Radiolabeled Asyn-44 and ACI-12589 for Imaging α-Synuclein. J. Park. Dis. 2026, 16, 683–698. [Google Scholar] [CrossRef] [Scilit]
- Matsuoka, K.; Ono, M.; Takado, Y.; Hirata, K.; Endo, H.; Ohfusa, T.; Kojima, T.; Yamamoto, T.; Onishi, T.; Orihara, A.; et al. High-Contrast Imaging of α-Synuclein Pathologies in Living Patients with Multiple System Atrophy. Mov. Disord. 2022, 37, 2159–2161. [Google Scholar] [CrossRef] [Scilit]
- Goto, R.; Matsuoka, K.; Kimura, Y.; Kataoka, Y.; Oya, M.; Hirata, K.; Tagai, K.; Takahata, K.; Seki, C.; Kawamura, K.; et al. Human Biodistribution and Radiation Dosimetry of Two Novel α-Synuclein PET Tracers, 18F-SPAL-T-06 and 18F-C05-05. Sci. Rep. 2025, 15, 8640. [Google Scholar] [CrossRef] [Scilit]
- Saw, R.S.; Haas, S.; Schmidt, F.; Ryazanov, S.; Leonov, A.; Bleher, D.; Grotegerd, A.-K.; Kuebler, L.; Roeben, B.; Schmidt, F.; et al. The PET Tracer [11C]MODAG-005 Targets Alpha-Synuclein Aggregates in the Brain. Sci. Transl. Med. 2026, 18, eaec0813. [Google Scholar] [CrossRef] [Scilit]
- Hsieh, C.-J.; Saturnino Guarino, D.; Young, A.J.; Siderowf, A.D.; Nasrallah, I.; Schmitz, A.; Garcia, C.; Kim, H.Y.; Schubert, E.K.; Lee, H.; et al. Pilot Study of [11C]HY-2-15: A Mixed Alpha-Synuclein and Tau PET Radiotracer. Cells 2025, 14, 1157. [Google Scholar] [CrossRef] [Scilit]
- Siderowf, A.; Concha-Marambio, L.; Lafontant, D.-E.; Farris, C.M.; Ma, Y.; Urenia, P.A.; Nguyen, H.; Alcalay, R.N.; Chahine, L.M.; Foroud, T.; et al. Assessment of Heterogeneity among Participants in the Parkinson’s Progression Markers Initiative Cohort Using α-Synuclein Seed Amplification: A Cross-Sectional Study. Lancet Neurol. 2023, 22, 407–417. [Google Scholar] [CrossRef] [Scilit]
- Wang, Z.; Becker, K.; Donadio, V.; Siedlak, S.; Yuan, J.; Rezaee, M.; Incensi, A.; Kuzkina, A.; Orrú, C.D.; Tatsuoka, C.; et al. Skin α-Synuclein Aggregation Seeding Activity as a Novel Biomarker for Parkinson Disease. JAMA Neurol. 2020, 78, 30–40. [Google Scholar] [CrossRef] [Scilit]
- Zheng, Y.; Li, S.; Yang, C.; Yu, Z.; Jiang, Y.; Feng, T. Comparison of Biospecimens for α-Synuclein Seed Amplification Assays in Parkinson’s Disease: A Systematic Review and Network Meta-Analysis. Eur. J. Neurol. 2023, 30, 3949–3967. [Google Scholar] [CrossRef] [Scilit]
- Höglinger, G.U.; Adler, C.H.; Berg, D.; Klein, C.; Outeiro, T.F.; Poewe, W.; Postuma, R.; Stoessl, A.J.; Lang, A.E. A Biological Classification of Parkinson’s Disease: The SynNeurGe Research Diagnostic Criteria. Lancet Neurol. 2024, 23, 191–204. [Google Scholar] [CrossRef] [Scilit]
- Simuni, T.; Chahine, L.M.; Poston, K.; Brumm, M.; Buracchio, T.; Campbell, M.; Chowdhury, S.; Coffey, C.; Concha-Marambio, L.; Dam, T.; et al. A Biological Definition of Neuronal α-Synuclein Disease: Towards an Integrated Staging System for Research. Lancet Neurol. 2024, 23, 178–190. [Google Scholar] [CrossRef] [Scilit] [PubMed]


| Molecular Target | Radiopharmaceuticals | Imaging Modality | Mechanism and Biological Information | References |
|---|---|---|---|---|
| DAT | [123I]FP-CIT | SPECT | Reversible binding to DAT on presynaptic dopaminergic terminals; striatal uptake reflects DAT availability and serves as a surrogate marker of presynaptic nigrostriatal terminal integrity. | [3,17,18,19] |
| DAT | [123I]β-CIT, [123I]IPT, [123I]altropane, [123I]PE2I, [99mTc]TRODAT-1 | SPECT | Tropane-derived radioligands that bind presynaptic DAT, with tracer-dependent differences in transporter selectivity, cerebral kinetics, and nonspecific binding. | [3,17,19,20,21] |
| DAT | [18F]FP-CIT, [18F]FE-PE2I | PET | Reversible binding to presynaptic DAT, enabling high-resolution assessment and quantification of striatal DAT availability. Under validated conditions, [18F]FE-PE2I may also assess DAT availability in selected midbrain regions. | [4,10,23,24] |
| DAT | [11C]PE2I, [18F]FECNT, [18F]LBT-999 | PET | Selective or relatively selective reversible binding to DAT, with tracer-dependent differences in affinity, kinetics, metabolism, and regional distribution. | [5,14,16,22,25,26,27] |
| AADC | [18F]FDOPA | PET | Transported across the BBB through LAT1, decarboxylated by AADC to [18F]fluorodopamine, and subsequently sequestered into synaptic vesicles by VMAT2. The signal reflects AADC-dependent dopamine synthesis capacity and subsequent vesicular trapping. | [3,4,5,14,15,16,28] |
| AADC | [18F]FMT | PET | Decarboxylated by AADC to [18F]fluorometatyramine, followed predominantly by MAO-dependent metabolic trapping rather than substantial VMAT2-mediated vesicular storage. | [16,29,30] |
| VMAT2 | (+)-[11C]DTBZ, [18F]AV-133 | PET | Reversible binding to VMAT2 on monoaminergic synaptic vesicles; striatal binding reflects vesicular storage capacity and serves as a surrogate marker of predominantly nigrostriatal monoaminergic terminal integrity. | [4,14,15,16,31,32] |
| D2/D3 receptors | [11C]raclopride, [18F]fallypride, [18F]DMFP, [123I]IBZM, [123I]epidepride | PET/ SPECT | Reversible binding to D2/D3 receptors. Lower-affinity ligands predominantly assess striatal receptor availability, whereas higher-affinity ligands also permit evaluation of lower-density extrastriatal receptor populations. Binding is influenced by endogenous dopamine, receptor regulation, disease stage, and medication exposure. | [3,4,33,34,35,36] |
| Unresolved Clinical Questions | Major Imaging Strategies | Main Contributions | Principal Limitations | References |
|---|---|---|---|---|
| Is clinically significant presynaptic nigrostriatal dysfunction present? | [123I]FP-CIT SPECT; DAT PET with [18F]FP-CIT or [18F]FE-PE2I, where available | Demonstrates or argues against a presynaptic DAT deficit. DAT PET may provide higher-resolution regional assessment and more flexible kinetic quantification. | An abnormal result does not establish aetiology or reliably distinguish PD from MSA, PSP, CBS, or DLB. PET availability and standardisation remain limited. | [2,3,4,8,10,23,24] |
| Is there a structural cause or an imaging pattern supporting an atypical degenerative syndrome? | Structural MRI and/or cerebral [18F]FDG PET | MRI identifies structural mimics and may demonstrate supportive anatomical markers; [18F]FDG PET characterises disease-associated metabolic patterns involving cortical, subcortical, brainstem, and cerebellar networks. | Findings are supportive rather than pathognomonic and may overlap across disorders, particularly during early disease. Performance depends on phenotype, disease stage, acquisition, and analytical method. | [2,8,51,52,53,54,55] |
| Does the phenotype raise a specific question of Lewy body disease versus MSA or another non-Lewy body disorder? | Cardiac [123I]MIBG scintigraphy, interpreted with clinical findings and cerebral imaging | Evaluates postganglionic cardiac sympathetic innervation and provides information complementary to striatal DAT availability. | Cardiac disease, diabetes, autonomic neuropathy, medication exposure, and protocol variability may affect uptake. Preserved uptake may occur in early PD, whereas reduced uptake is not entirely specific to Lewy body disease. | [45,56,57] |
| Is tracer-specific characterisation of another presynaptic process required? | [18F]FDOPA PET or VMAT2 PET | Evaluates AADC-dependent dopamine synthesis and trapping or vesicular monoamine storage, respectively, providing biological information complementary to DAT imaging. | These targets are differently regulated and do not provide interchangeable estimates of neuronal survival. Availability is limited, and their use remains predominantly research-oriented or restricted to specialised centres. | [4,14,16,31,32] |
| Is postsynaptic receptor status itself the specialised or research question? | D2/D3 receptor PET or SPECT | Assesses postsynaptic receptor availability and may contribute to the investigation of dopaminergic receptor regulation. | Considerable overlap among parkinsonian disorders, together with the effects of endogenous dopamine, medication, and disease stage, limits incremental value for routine individual diagnosis. | [3,4,33,34,35] |
| Would combined presynaptic and metabolic information help resolve a selected complex presentation? | Sequential [18F]FDOPA and [18F]FDG PET | Combines evidence of presynaptic dopaminergic dysfunction with cerebral metabolic patterns that may support aetiological classification. | Evidence is based predominantly on observational cohorts with heterogeneous populations and clinical reference diagnoses. The incremental benefit of routine dual-tracer imaging over selective, sequential imaging remains uncertain, while dual-tracer protocols increase radiation exposure, cost, and logistical complexity. | [51,63,64] |
| Approach | Principal Outputs | Main Potential Advantages | Principal Limitations | Current Evidence and Implementation Status | References |
|---|---|---|---|---|---|
| Semiquantitative DAT SPECT | SBR, asymmetry indices, regional z-scores | Improves reproducibility and supports interpretation of borderline examinations | Dependence on acquisition, reconstruction, software, and normative database | Established clinical adjunct to visual interpretation | [3,65,66,67] |
| Dynamic DAT PET kinetic modelling | BPND and other model-derived parameters | Target-specific quantification and assessment of longitudinal change | Longer acquisition, motion sensitivity, and modelling requirements | Predominantly research and specialised-centre use | [3,68,70,71] |
| Simplified static DAT PET | SUVR or SBR, depending on the analytical convention | Shorter and more practical acquisition than full kinetic modelling | Dependence on acquisition window, reference region, and tracer kinetics | Clinical feasibility demonstrated; routine implementation remains limited | [68,69] |
| AI-assisted DAT SPECT classification | Binary or regional uptake category and uncertainty estimate | Automated categorisation, improved consistency, and prioritisation of uncertain examinations | Dataset shift, label dependence, limited explainability, and uncertain prospective clinical benefit | Investigational decision support; predominantly retrospective evidence | [72,73,74,76] |
| Radiomics and predictive modelling | Multivariate imaging signature or predicted clinical outcome | May extract prognostic information beyond mean regional uptake | High risk of overfitting and limited independent external testing | Exploratory research | [75,76] |
| Accelerated multiple-pinhole DAT SPECT | Short-duration reconstructed images and regional uptake measures | Shorter examination, improved patient tolerance, and potentially reduced motion | System-, collimator-, reconstruction-, and protocol-specific performance | Clinical feasibility demonstrated for selected dedicated systems | [78] |
| Multiparametric dynamic [18F]FE-PE2I PET | DAT BPND and relative tracer-delivery parameter R1 | Combines presynaptic dopaminergic and perfusion-related information in one examination | Limited validation of regional reliability and incremental diagnostic value | Research application | [79] |
| Radiotracer | Predominant Human Imaging Findings | Principal Potential Advantage | Main Limitations and Current Status | References |
|---|---|---|---|---|
| [18F]ACI-12589 | Increased retention in the cerebellar white matter and middle cerebellar peduncles in MSA, particularly in MSA-C, with limited retention in PD and DLB. | Disease-associated regional contrast demonstrated in MSA, particularly MSA-C. | Limited and variable retention in Lewy body-predominant disorders; small clinical cohorts; phenotype-specific diagnostic performance remains unestablished. Independent post-mortem autoradiography using tritiated ACI-12589 provided evidence of off-target binding to Aβ plaques, warranting further selectivity validation. | [86,88,89] |
| [18F]C05-05 | Increased midbrain retention in PD and DLB and involvement of the putamen and middle cerebellar peduncles in MSA. | Potential visualisation of disease-associated regional binding patterns across different synucleinopathies. | Relatively high background activity, overlap between groups, and small clinical cohorts. Potential in vitro cross-reactivity with Aβ and tau may further limit specificity, although its clinical relevance remains uncertain. | [87,88] |
| [18F]SPAL-T-06 | High-contrast retention in the putamen, pons, cerebellar white matter, and cerebellar peduncles was reported in patients with MSA. | Promising disease-associated contrast in MSA combined with the practical distribution advantages of fluorine-18 labelling. | Evaluated in only three patients with MSA and one HC, without formal group-level quantitative comparison; independent validation and more extensive selectivity data are required. | [88,90] |
| [11C]MODAG-005 | Brain penetration and pharmacokinetic feasibility were demonstrated in the first human evaluation, but disease-specific binding has not yet been established. | Subnanomolar in vitro affinity and favourable preclinical brain kinetics support further clinical development. | Evaluated in only four participants (two with MSA, one with GBA1-associated PD, and one asymptomatic participant considered an HC) without formal group-level evaluation; disease-discriminating performance remains unknown, while carbon-11 labelling limits widespread clinical implementation. | [92] |
| [11C]HY-2-15 | Human PET imaging was feasible, but no statistically significant discrimination between PD or MSA and HCs was demonstrated in the initial pilot study. | Human imaging feasibility was demonstrated, and the study provided initial kinetic and whole-body biodistribution data that may guide further ligand optimisation. | Low brain uptake, rapid metabolism, affinity for tau, and absence of significant group discrimination currently limit its potential as an α-synuclein-specific radiotracer. | [93] |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2026 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.
Share and Cite
Jalloul, W.; Uritu, C.M.; Jalloul, D.; Ghizdovat, V.; Vranceanu Ciobanu, A.; Tamba, B.I.; Stefanescu, C.; Grierosu, I.C. Dopaminergic Radiopharmaceutical Imaging in Parkinsonian Syndromes: From Molecular Targets to Clinical Decision-Making. Pharmaceuticals 2026, 19, 1369. https://doi.org/10.3390/ph19091369
Jalloul W, Uritu CM, Jalloul D, Ghizdovat V, Vranceanu Ciobanu A, Tamba BI, Stefanescu C, Grierosu IC. Dopaminergic Radiopharmaceutical Imaging in Parkinsonian Syndromes: From Molecular Targets to Clinical Decision-Making. Pharmaceuticals. 2026; 19(9):1369. https://doi.org/10.3390/ph19091369
Chicago/Turabian StyleJalloul, Wael, Cristina Mariana Uritu, Despina Jalloul, Vlad Ghizdovat, Andreia Vranceanu Ciobanu, Bogdan Ionel Tamba, Cipriana Stefanescu, and Irena Cristina Grierosu. 2026. "Dopaminergic Radiopharmaceutical Imaging in Parkinsonian Syndromes: From Molecular Targets to Clinical Decision-Making" Pharmaceuticals 19, no. 9: 1369. https://doi.org/10.3390/ph19091369
APA StyleJalloul, W., Uritu, C. M., Jalloul, D., Ghizdovat, V., Vranceanu Ciobanu, A., Tamba, B. I., Stefanescu, C., & Grierosu, I. C. (2026). Dopaminergic Radiopharmaceutical Imaging in Parkinsonian Syndromes: From Molecular Targets to Clinical Decision-Making. Pharmaceuticals, 19(9), 1369. https://doi.org/10.3390/ph19091369

