Medical Radiology and Radiation Safety. 2026. Vol. 71. № 3
DOI:10.33266/1024-6177-2026-71-3-98-105
S.G. Mirzoiants, A.N. Bashkov, N.A. Barkalaya
Radiological Diagnostic Methods for Parkinson’s Disease:
A Literature Review
A.I. Burnazyan Federal Medical Biophysical Center, Moscow, Russia
Contact person: S.G. Mirzoiants, e-mail: Этот адрес электронной почты защищен от спам-ботов. У вас должен быть включен JavaScript для просмотра.
ABSTRACT
Purpose: To systematize modern imaging approaches in PD, to evaluate the informativeness of key radiopharmaceuticals, their diagnostic capabilities, sensitivity and specificity, and the role of hybrid modalities in early and differential diagnosis as well as dynamic monitoring of PD.
Material and methods: Guidelines from EANM/SNMMI and studies from 2018–2025 on SPECT/CT, PET/CT, PET/MRI, and MRI (NM-MRI, QSM, DTI, 7T) were analyzed. DAT-SPECT with [¹²³I]FP-CIT remains the clinical standard for detecting presynaptic dysfunction; [⁹⁹ᵐTc]TRODAT-1 serves as an accessible alternative. PET with [¹⁸F]FE-PE2I provides higher spatial resolution and quantitative accuracy; [¹⁸F]FDOPA reflects dopamine synthesis, [¹⁸F]FDG – metabolic patterns; [¹⁸F]AV-133 (VMAT2) and [¹¹C]yohimbine expand assessment of non-dopaminergic systems. MRI complements molecular methods, enabling exclusion of organic causes of parkinsonism (secondary parkinsonism) and detecting subtle alterations of the substantia nigra; PET/MRI integrates molecular and morphological data within a single examination.
Results: Modern radiological diagnostic methods for PD demonstrate high informativeness in early detection of neurodegenerative changes. SPECT/CT with [¹²³I]FP-CIT provides sensitivity and specificity of 93–95% in differential diagnosis of PD versus essential tremor and atypical parkinsonian syndromes. [⁹⁹ᵐTc]TRODAT-1 is used as a cost-effective alternative in resource-limited countries. PET/CT with [¹⁸F]FE-PE2I and [¹⁸F]FDOPA enables quantitative assessment of presynaptic dysfunction and metabolic features; reduced [¹⁸F]FDOPA uptake correlates with disease stage, while [¹⁸F]FDG alterations are detectable at early stages. Implementation of multimodal protocols, including PET/MRI, allows comprehensive mapping of structural (neuromelanin, iron), biochemical, and metabolic markers. High-field MRI detects up to 98% of neuron loss in nigrosome-1, while modern NM-MRI protocols combined with machine learning and semi-automated segmentation methods provide diagnostic accuracy above 90%. Integration of molecular and structural imaging with artificial intelligence enhances the precision of early diagnosis and enables monitoring of PD progression and therapeutic efficacy. According to multicenter studies and meta-analyses, sensitivity and specificity of most radiopharmaceuticals exceed 90–95%, and the accuracy of NM-MRI in PD detection reaches 94%.
Keywords: Parkinson’s disease, radionuclide imaging, dopamine transporter (DAT), SPECT/CT, PET/CT, PET/MRI, [¹⁸F]FDOPA, [⁹⁹ᵐTc]TRODAT
For citation: Mirzoiants SG, Bashkov AN, Barkalaya NA. Radiological Diagnostic Methods for Parkinson’s Disease: A Literature Review. Medical Radiology and Radiation Safety. 2026;71(3):98–105. DOI:10.33266/1024-6177-2026-71-3-98-105
References
1.Su D., Cui Y., He C., Yin P., Bai R., Zhu J., Lam J.S.T., Zhang J., Yan R., Zheng X., Wu J., Zhao D., Wang A., Zhou M., Feng T. Projections for Prevalence of Parkinson’s Disease and its Driving Factors in 195 Countries and Territories to 2050: Modelling Study of Global Burden of Disease Study 2021. BMJ. 2025 Mar 5;388:e080952. Doi: 10.1136/bmj-2024-080952.PMID: 40044233; PMCID: PMC11881235/.
2.Dentamaro V., Impedovo D., Musti L., et al. Enhancing Early Parkinson’s Disease Detection through Multimodal Deep Learning and Explainable AI: Insights from the PPMI Database. Sci Rep. 2024;14:20941. Doi: 10.1038/s41598-024-70165-4.
3.Singhal T., Narayan M.L., Manchanda R., Singh P., Dhar M., Tiwari A., Kumar N. Reviewing the Diagnostic Performance of 99mTc-TRODAT-1 Imaging in Distinguishing Idiopathic Parkinson’s Disease from Parkinson-Plus Syndromes. World J Nucl Med. 2024 Jul 4;23;4:242-249. Doi: 10.1055/s-0044-1787995. PMID: 39677345; PMCID: PMC11637641.
4.Marner L., Korsholm K., Anderberg L., et al. [¹8F]FE-PE2I PET is a Feasible Alternative to [¹²³I]FP-CIT SPECT for Dopamine Transporter Imaging in Clinically Uncertain Parkinsonism. EJNMMI Res. 2022;12:56. Doi: 10.1186/s13550-022-00930-x.
5.Jakobson M.O., Axelsson S., Jonasson J., L. et al. (2018). Dopamine Transporter Imaging with [¹8F]FE-PE2I PET and [¹²³I]FP-CIT SPECT – a Clinical Comparison. EJNMMI Res. 2018;8:100. Doi: 10.1186/s13550-018-0450-0.
6.Fabiani G., Camargo C.H.F., Filho R.M., Froehner G.S., Teive H.A.G. Evaluation of Brain SPECT with 99mTc-TRODAT-1 in the Differential Diagnosis of Parkinsonism. Parkinsons Dis. 2022 Mar 8;2022:1746540. Doi: 10.1155/2022/1746540. PMID: 35300121; PMCID: PMC8923776.
7.Shang S., Li D., Tian Y., et al. Hybrid PET-MRI for Early Detection of Dopaminergic Dysfunction and Microstructural Degradation Involved in Parkinson’s Disease. Commun Biol. 2021;4:1162. Doi: 10.1038/s42003-021-02705-x.
8.Leung I.H.K., Strudwick M.W. A Systematic Review of the Challenges, Emerging Solutions and Applications, and Future Directions of PET/MRI in Parkinson’s Disease. EJNMMI Rep. 2024;8:3. Doi: 10.1186/s41824-024-00194-9.
9.Hartono S., Chen R.C., Welton T., Tan A.S., Lee W., Teh P.Y., Chen C., Hou W., Tham W.P., Lim E.W., Prakash K.M., Shih Y.C., Lee K.J., Tan L.C.S., Tan E.K., Chan L.L. Quantitative Iron-Neuromelanin MRI Associates with Motor Severity in Parkinson’s Disease and Matches Radiological Disease Classification. Front Aging Neurosci. 2023 Nov 27;15:1287917. Doi: 10.3389/fnagi.2023.1287917. PMID: 38090717; PMCID: PMC10711072/.
10.Wang J., Xue L., Jiang J., et al. Diagnostic Performance of Artificial Intelligence-Assisted PET Imaging for Parkinson’s Disease: a Systematic Review and Meta-Analysis. Npj Digit. Med. 2024;7:17. Doi: 10.1038/s41746-024-01012-z.
11.Leung K.H., Rowe S.P., Pomper M.G., et al. A Three-Stage, Deep Learning, Ensemble Approach for Prognosis in Patients with Parkinson’s Disease. EJNMMI Res. 2021;11:52. Doi: 10.1186/s13550-021-00795-6.
12.Albin R.L., Dauer W.T., Burke R.E., Parkinson Disease. Ed. Daroff R.B., Jankovic J., Mazziotta J.C., Pomeroy S.L. Bradley and Daroff’s Neurology in Clinical Practice. 8th Vol.2. Oxford, Oxford University Press, 2023. P. 2151-2179. Doi: 10.1093/med/9780190942872.001.0001.
13.Hustad E., Aasly J.O. Clinical and Imaging Markers of Prodromal Parkinson’s Disease. Front Neurol. 2020 May 8;11:395. Doi: 10.3389/fneur.2020.00395. PMID: pubmed.ncbi.nlm.nih.gov/32457695/; PMCID: PMC7225301.
14.Du X., Zhao H., Li Y., et al. The Value of PET/CT in the Diagnosis and Differential Diagnosis of Parkinson’s Disease: a Dual-Tracer Study. Npj Parkinsons Dis. 2024;10:171. Doi: 10.1038/s41531-024-00786-z.
15.Morbelli S., Esposito G., Arbizu J., 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. Doi: 10.1007/s00259-020-04817-8.
16.Huang W., Jiang H., Du Y., et al. Transfer Learning-Based Attenuation Correction in 99mTc-TRODAT-1 SPECT for Parkinson’s Disease Using Realistic Simulation and Clinical Data. EJNMMI Phys. 2025;12:43. Doi: 10.1186/s40658-025-00756-1.
17.Houot M., Arnaud, Mongin S., et al. Relevance of 123I-FP-CIT SPECT Prescriptions for the Diagnosis of Parkinsonian Syndromes. Sci Rep. 2024;14:25088. doi.org/10.1038/s41598-024-73777-y.
18.Wallert E., Letort E., van der Zant F., et al. Comparison of [18F]-FDOPA PET and [123I]-FP-CIT SPECT Acquired in Clinical Practice for Assessing Nigrostriatal Degeneration in Patients with a Clinically Uncertain Parkinsonian Syndrome. EJNMMI Res. 2022;12:68. Doi: 10.1186/s13550-022-00943-6.
19.Beauchamp L.C., Dore V., Villemagne V.L., Xu S., Finkelstein D., Barnham K.J., Rowe C. Using 18F-AV-133 VMAT2 PET Imaging to Monitor Progressive Nigrostriatal Degeneration in Parkinson Disease. Neurology. 2023 Nov 27;101;22:e2314-e2324. Doi: 10.1212/WNL.0000000000207748. Erratum in: Neurology. 2024 Jul 9;103;1:e209596. Doi: 10.1212/wnl.0000000000207748. PMID:37816639; PMCID: PMC10727223/.
20.Xiang J., Zhang Z., Wu S., et al. Positron Emission Tomography Tracers for Synucleinopathies. Mol Neurodegeneration. 2025;20:1. Doi: 10.1186/s13024-024-00787-9.
21.Chougar L., Pyatigorskaya N., Degos B., Grabli D., Lehéricy S. The Role of Magnetic Resonance Imaging for the Diagnosis of Atypical Parkinsonism. Front Neurol. 2020 Jul 17;11:665. Doi: 10.3389/fneur.2020.00665. PMID:32765399; PMCID:PMC7380089/.
22.He N., Chen Y., LeWitt P.A., Yan F., Haacke E.M. Application of Neuromelanin MR Imaging in Parkinson Disease. J Magn Reson Imaging. 2023 Feb;57;2:337-352. Doi: 10.1002/jmri.28414. Epub 2022 Aug 26. PMID: 36017746; PMCID: PMC10086789.
23.Liu Q., Wang P., Liu C., Xue F., Wang Q., Chen Y., Hou R., Chen T. An Investigation of Neuromelanin Distribution in Substantia Nigra and Locus Coeruleus in Patients with Parkinson’s Disease Using Neuromelanin-Sensitive MRI. BMC Neurol. 2023 Aug 14;23;1:301. Doi: 10.1186/s12883-023-03350-z. PMID: 37580712; PMCID: PMC10424360.
24.Madelung C.F., Løkkegaard A., Fuglsang S.A., et al. High-Resolution Mapping of Substantia Nigra in Parkinson’s Disease Using 7 tesla MRI. NPJ Parkinsons Dis. 2025;11:113. Doi: 10.1038/s41531-025-00972-7.
25.Tseriotis V.S., Eleftheriadou K., Mavridis T., Konstantis G., Falkenburger B., Arnaoutoglou M. Is the Swallow Tail Sign a Useful Imaging Biomarker in Clinical Neurology? A Systematic Review. Mov Disord Clin Pract. 2025 Feb;12;2:134-147. Doi: 10.1002/mdc3.14304. Epub 2024, Dec 17. PMID: 39688317; PMCID: PMC11802665.
26.Shirbandi K., Jafari M., Mazaheri F., Tahmasbi M. Diffusion Tensor Imaging Along the Perivascular Space Is a Promising Imaging Method in Parkinson’s Disease: a Systematic Review and Meta-Analysis Study. CNS Neurosci Ther. 2025 May;31;5:e70434. Doi: 10.1111/cns.70434.PMID: 40376934; PMCID: PMC12082281.
27.Bergamino M., Keeling E.G., Mishra V.R., Stokes A.M., Walsh R.R. Assessing White Matter Pathology in Early-Stage Parkinson Disease Using Diffusion MRI: A Systematic Review. Front Neurol. 2020 May 14;11:314. Doi: 10.3389/fneur.2020.00314. PMID: 32477235; PMCID: PMC7240075.
28.Depierreux F., Parmentier E., Mackels L., et al. Parkinson’s Disease Multimodal Imaging: F-DOPA PET, Neuromelanin-Sensitive and Quantitative Iron-Sensitive MRI. NPJ Parkinsons Dis. 2021;7:57. Doi: 10.1038/s41531-021-00199-2.
29.Laurencin Ch., Lancelot S., Brosse S., Mérida I., Redouté J., Greusard E., Lamberet L., Liotier V., Le Bars D., Costes N., Thobois S., Boulinguez P., Ballanger B. Noradrenergic Alterations in Parkinson’s Disease: a Combined 11C-Yohimbine PET/Neuromelanin MRI study. Brain. 2024;147;4:1377–1388. Doi: 10.1093/brain/awad338.
30.Schröter N., Groppa S., Rijntjes M., et al. Neuroimaging in Advanced Parkinson’s Disease: Insights into Pathophysiology, Biomarkers, and Personalized therapies. J Neural Transm. 2025 Nov;132;11:1655-1664. Doi: 10.1007/s00702-025-02942-y.
31.Stormezand G.N., de Meyer E., Koopmans K.P., Brouwers A.H., Luurtsema G., Dierckx RAJO. Update on the Role of [18F]FDOPA PET/CT. Semin Nucl Med. 2024 Nov;54;6:845-855. Doi: 10.1053/j.semnuclmed.2024.09.004. Epub 2024, Oct 9. PMID: 39384519.
32.Houssein N.J., Henriksen A.C., Hejl A.M., et al. Diagnostic Accuracy of Cerebral [18F]FDG PET in Atypical Parkinsonism. EJNMMI Res. 2023;13:74. Doi: 10.1186/s13550-023-01025-x.
33.Iwabuchi Y., Nakahara T., Kameyama M., et al. Impact of the Cerebrospinal Fluid-Mask Algorithm on the Diagnostic Performance of 123I-Ioflupane SPECT: an Investigation of Parkinsonian Syndromes. EJNMMI Res. 2019;9:85. Doi: 10.1186/s13550-019-0558-x.
34.Cheng Z., He N., Huang P., Li Y., Tang R., Sethi S.K., Ghassaban K., Yerramsetty K.K., Palutla V.K., Chen S., Yan F., Haacke E.M. Imaging the Nigrosome 1 in the Substantia Nigra Using Susceptibility Weighted Imaging and Quantitative Susceptibility Mapping: an Application to Parkinson’s Disease. Neuroimage Clin. 2020;25:102103. Doi: 10.1016/j.nicl.2019.102103. Epub 2019, Nov 20. PMID: 31869769; PMCID: PMC6933220.
35.Таппахов А.А., Попова Т.Е. Роль магнитно-резонансной томографии в дифференциальной диагностике болезни Паркинсона // Российский неврологический журнал. 2023. Т.28. №1. С. 5-12 [Tappakhov A.A., Popova T.E. The Role of Magnetic Resonance Imaging in the Diff Erential Diagnosis of Parkinson’s Disease. Rossiyskiy Nevrologicheskiy Zhurnal = Russian Neurological Journal. 2023;28;1:5-12. (In Russ.)]. Doi: 10.30629/26587947-2023-28-1-5-12.
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Conflict of interest. The authors declare no conflict of interest.
Financing. The study had no sponsorship.
Contribution. The article was prepared by one author.
Article received: 20.02.2026. Accepted for publication: 25.03.2026.




