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Dong L, Zhou R, Zhou J, Liu K, Jin C, Wang J, Xue C, Tian M, Zhang H, Zhong Y. Positron emission tomography molecular imaging for pathological visualization in multiple system atrophy. Neurobiol Dis 2025; 206:106828. [PMID: 39900304 DOI: 10.1016/j.nbd.2025.106828] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2024] [Revised: 01/22/2025] [Accepted: 01/31/2025] [Indexed: 02/05/2025] Open
Abstract
Multiple system atrophy (MSA) is a complex, heterogeneous neurodegenerative disorder characterized by a multifaceted pathogenesis. Its key pathological hallmark is the abnormal aggregation of α-synuclein, which triggers neuroinflammation, disrupts both dopaminergic and non-dopaminergic systems, and results in metabolic abnormalities in the brain. Positron emission tomography (PET) is a non-invasive technique that enables the visualization, characterization, and quantification of these pathological processes from diverse perspectives using radiolabeled agents. PET imaging of molecular events provides valuable insights into the underlying pathomechanisms of MSA and holds significant promise for the development of imaging biomarkers, which could greatly improve disease assessment and management. In this review, we focused on the pathological mechanisms of MSA, summarized relevant targets and radiopharmaceuticals, and discussed the clinical applications and future perspectives of PET molecular imaging in MSA.
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Affiliation(s)
- La Dong
- Department of Nuclear Medicine and PET Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang 31009, China; Institute of Nuclear Medicine and Molecular Imaging of Zhejiang University, Hangzhou, Zhejiang 31009, China; Key Laboratory of Medical Molecular Imaging of Zhejiang Province, Hangzhou, Zhejiang 31009, China
| | - Rui Zhou
- Department of Nuclear Medicine and PET Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang 31009, China; Institute of Nuclear Medicine and Molecular Imaging of Zhejiang University, Hangzhou, Zhejiang 31009, China; Key Laboratory of Medical Molecular Imaging of Zhejiang Province, Hangzhou, Zhejiang 31009, China
| | - Jinyun Zhou
- Department of Nuclear Medicine and PET Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang 31009, China; Institute of Nuclear Medicine and Molecular Imaging of Zhejiang University, Hangzhou, Zhejiang 31009, China; Key Laboratory of Medical Molecular Imaging of Zhejiang Province, Hangzhou, Zhejiang 31009, China
| | - Ke Liu
- Department of Nuclear Medicine and PET Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang 31009, China; Institute of Nuclear Medicine and Molecular Imaging of Zhejiang University, Hangzhou, Zhejiang 31009, China; Key Laboratory of Medical Molecular Imaging of Zhejiang Province, Hangzhou, Zhejiang 31009, China
| | - Chentao Jin
- Department of Nuclear Medicine and PET Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang 31009, China; Institute of Nuclear Medicine and Molecular Imaging of Zhejiang University, Hangzhou, Zhejiang 31009, China; Key Laboratory of Medical Molecular Imaging of Zhejiang Province, Hangzhou, Zhejiang 31009, China
| | - Jing Wang
- Department of Nuclear Medicine and PET Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang 31009, China; Institute of Nuclear Medicine and Molecular Imaging of Zhejiang University, Hangzhou, Zhejiang 31009, China; Key Laboratory of Medical Molecular Imaging of Zhejiang Province, Hangzhou, Zhejiang 31009, China
| | - Chenxi Xue
- Department of Nuclear Medicine and PET Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang 31009, China; Institute of Nuclear Medicine and Molecular Imaging of Zhejiang University, Hangzhou, Zhejiang 31009, China; Key Laboratory of Medical Molecular Imaging of Zhejiang Province, Hangzhou, Zhejiang 31009, China; Human Phenome Institute, Fudan University, Shanghai 200040, China
| | - Mei Tian
- Department of Nuclear Medicine and PET Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang 31009, China; Institute of Nuclear Medicine and Molecular Imaging of Zhejiang University, Hangzhou, Zhejiang 31009, China; Key Laboratory of Medical Molecular Imaging of Zhejiang Province, Hangzhou, Zhejiang 31009, China; Human Phenome Institute, Fudan University, Shanghai 200040, China.
| | - Hong Zhang
- Department of Nuclear Medicine and PET Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang 31009, China; Institute of Nuclear Medicine and Molecular Imaging of Zhejiang University, Hangzhou, Zhejiang 31009, China; Key Laboratory of Medical Molecular Imaging of Zhejiang Province, Hangzhou, Zhejiang 31009, China; College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, Zhejiang 310014, China; Key Laboratory for Biomedical Engineering of Ministry of Education, Zhejiang University, Hangzhou, Zhejiang 310014, China.
| | - Yan Zhong
- Department of Nuclear Medicine and PET Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang 31009, China; Institute of Nuclear Medicine and Molecular Imaging of Zhejiang University, Hangzhou, Zhejiang 31009, China; Key Laboratory of Medical Molecular Imaging of Zhejiang Province, Hangzhou, Zhejiang 31009, China; Key Laboratory for Biomedical Engineering of Ministry of Education, Zhejiang University, Hangzhou, Zhejiang 310014, China.
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Conti Mazza MM, Centner A, Werner DF, Bishop C. Striatal serotonin transporter gain-of-function in L-DOPA-treated, hemi-parkinsonian rats. Brain Res 2023; 1811:148381. [PMID: 37127174 PMCID: PMC10562932 DOI: 10.1016/j.brainres.2023.148381] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Revised: 04/24/2023] [Accepted: 04/26/2023] [Indexed: 05/03/2023]
Abstract
L-DOPA is the standard treatment for Parkinson's disease (PD), but chronic treatment typically leads to L-DOPA-induced dyskinesia (LID). LID involves a complex interaction between the remaining dopamine (DA) system and the semi-homologous serotonin (5-HT) system. Since serotonin transporters (SERT) have some affinity for DA uptake, they may serve as a functional compensatory mechanism when DA transporters (DAT) are scant. DAT and SERT's functional contributions in the dyskinetic brain have not been well delineated. The current investigation sought to determine how DA depletion and L-DOPA treatment affect DAT and SERT transcriptional processes, translational processes, and functional DA uptake in the 6-hydroxydopamine-lesioned hemi-parkinsonian rat. Rats were counterbalanced for motor impairment into equally lesioned treatment groups then given daily L-DOPA (0 or 6 mg/kg) for 2 weeks. At the end of treatment, the substantia nigra was processed for tyrosine hydroxylase (TH) and DAT gene expression and dorsal raphe was processed for SERT gene expression. The striatum was processed for synaptosomal DAT and SERT protein expression and ex vivo DA uptake. Nigrostriatal DA loss severely reduced DAT mRNA and protein expression in the striatum with minimal changes in SERT. L-DOPA treatment, while not significantly affecting DAT or SERT alone, did increase striatal SERT:DAT protein ratios. Using ex vivo microdialysis, L-DOPA treatment increased DA uptake via SERT when DAT was depleted. Overall, these results suggest that DA loss and L-DOPA treatment uniquely alter DAT and SERT, revealing implications for monoamine transporters as potential biomarkers and therapeutic targets in the hemi-parkinsonian model and dyskinetic PD patients.
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Affiliation(s)
- Melissa M Conti Mazza
- Behavioral Neuroscience Program, Department of Psychology, Binghamton University, 4400 Vestal Parkway East, Binghamton, NY 13902-6000, USA
| | - Ashley Centner
- Behavioral Neuroscience Program, Department of Psychology, Binghamton University, 4400 Vestal Parkway East, Binghamton, NY 13902-6000, USA
| | - David F Werner
- Behavioral Neuroscience Program, Department of Psychology, Binghamton University, 4400 Vestal Parkway East, Binghamton, NY 13902-6000, USA
| | - Christopher Bishop
- Behavioral Neuroscience Program, Department of Psychology, Binghamton University, 4400 Vestal Parkway East, Binghamton, NY 13902-6000, USA.
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Boccalini C, Nicastro N, Peretti DE, Caminiti SP, Perani D, Garibotto V. Sex differences in dementia with Lewy bodies: an imaging study of neurotransmission pathways. Eur J Nucl Med Mol Imaging 2023; 50:2036-2046. [PMID: 36826477 PMCID: PMC10199852 DOI: 10.1007/s00259-023-06132-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Accepted: 01/29/2023] [Indexed: 02/25/2023]
Abstract
PURPOSE Dementia with Lewy bodies (DLB) is characterized by a wide clinical and biological heterogeneity, with sex differences reported in both clinical and pathologically confirmed DLB cohorts. No research evidence is available on sex differences regarding molecular neurotransmission. This study aimed to assess whether sex can influence neurotransmitter systems in patients with probable DLB (pDLB). METHODS We included 123 pDLB patients (male/female: 77/46) and 78 control subjects (male/female: 34/44) for comparison, who underwent 123I-FP-CIT SPECT imaging. We assessed sex differences in the dopaminergic activity of the nigrostriatal and mesolimbic systems using regional-based and voxel-wise analyses of 123I-FP-CIT binding. We tested whether sex-specific binding alterations would also pertain to the serotoninergic and noradrenergic systems by applying spatial correlation analyses. We applied molecular connectivity analyses to assess potential sex differences in the dopaminergic pathways. RESULTS We found comparable 123I-FP-CIT binding decreases in the striatum for pDLB males and females compared to controls. However, pDLB females showed lower binding in the extrastriatal projections of the nigrostriatal and mesolimbic dopaminergic systems compared to pDLB males. According to the spatial correlation analysis, sex-specific molecular alterations were also associated with serotonergic and noradrenergic systems. Nigrostriatal and mesolimbic systems' connectivity was impaired in both groups, with males showing local alterations and females presenting long-distance disconnections between subcortical and cortical regions. CONCLUSIONS Sex-specific differences in 123I-FP-CIT binding were found in our cohort, namely, a trend for lower 123I-FP-CIT binding in females, significant in the presence of a pDLB diagnosis. pDLB females showed also different patterns of connectivity compared to males, mostly involving extrastriatal regions. The results suggest the presence of a sex-related regional vulnerability to alpha-synuclein pathology, possibly complicated also by the higher prevalence of Alzheimer's disease co-pathology in females, as previously reported in pDLB populations.
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Affiliation(s)
- Cecilia Boccalini
- Vita-Salute San Raffaele University, Milan, Italy
- Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Laboratory of Neuroimaging and Innovative Molecular Tracers (NIMTlab), Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Nicolas Nicastro
- Division of Neurorehabilitation, Department of Clinical Neurosciences, Geneva University Hospitals, Geneva, Switzerland
| | - Debora Elisa Peretti
- Laboratory of Neuroimaging and Innovative Molecular Tracers (NIMTlab), Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Silvia Paola Caminiti
- Vita-Salute San Raffaele University, Milan, Italy
- Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Daniela Perani
- Vita-Salute San Raffaele University, Milan, Italy
- Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Valentina Garibotto
- Laboratory of Neuroimaging and Innovative Molecular Tracers (NIMTlab), Faculty of Medicine, University of Geneva, Geneva, Switzerland.
- Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospitals, Geneva, Switzerland.
- CIBM Center for Biomedical Imaging, Geneva, Switzerland.
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Nicastro N, Nencha U, Burkhard PR, Garibotto V. Dopaminergic imaging in degenerative parkinsonisms, an established clinical diagnostic tool. J Neurochem 2023; 164:346-363. [PMID: 34935143 DOI: 10.1111/jnc.15561] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Revised: 12/10/2021] [Accepted: 12/13/2021] [Indexed: 11/29/2022]
Abstract
Parkinson's disease (PD) and other neurodegenerative parkinsonisms are characterised by loss of striatal dopaminergic neurons. Dopamine functional deficits can be measured in vivo using positron emission tomography (PET) and single-photon emission computed tomography (SPECT) ligands assessing either presynaptic (e.g. dopamine synthesis and storage, transporter density) or postsynaptic terminals (i.e. D2 receptors availability). Nuclear medicine imaging thus helps the clinician to separate degenerative forms of parkinsonism with other neurological conditions, e.g. essential tremor or drug-induced parkinsonism. With the present study, we aimed at summarizing the current evidence about dopaminergic molecular imaging in the diagnostic evaluation of PD, atypical parkinsonian syndromes and dementia with Lewy bodies (DLB), as well as its potential to distinguish these conditions and to estimate disease progression. In fact, PET/SPECT methods are clinically validated and have been increasingly integrated into diagnostic guidelines (e.g. for PD and DLB). In addition, there is novel evidence on the classification properties of extrastriatal signal. Finally, dopamine imaging has an outstanding potential to detect neurodegeneration at the premotor stage, including REM-sleep behavior disorder and olfactory loss. Therefore, inclusion of subjects at an early stage for clinical trials can largely benefit from a validated in vivo biomarker such as presynaptic dopamine pathways PET/SPECT assessment.
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Affiliation(s)
- Nicolas Nicastro
- Division of Neurorehabilitation, Department of Clinical Neurosciences, Geneva University Hospitals, Geneva, Switzerland.,Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Umberto Nencha
- Division of Neurology, Department of Clinical Neurosciences, Geneva University Hospitals, Geneva, Switzerland
| | - Pierre R Burkhard
- Faculty of Medicine, University of Geneva, Geneva, Switzerland.,Division of Neurology, Department of Clinical Neurosciences, Geneva University Hospitals, Geneva, Switzerland
| | - Valentina Garibotto
- Faculty of Medicine, University of Geneva, Geneva, Switzerland.,Division of Nuclear Medicine and Molecular Imaging, Diagnostic Department, Geneva University Hospitals, Geneva, Switzerland
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Wallert ED, van de Giessen E, Knol RJJ, Beudel M, de Bie RMA, Booij J. Imaging Dopaminergic Neurotransmission in Neurodegenerative Disorders. J Nucl Med 2022; 63:27S-32S. [PMID: 35649651 PMCID: PMC9165729 DOI: 10.2967/jnumed.121.263197] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Revised: 01/25/2022] [Indexed: 12/14/2022] Open
Abstract
Imaging of dopaminergic transmission in neurodegenerative disorders such as Parkinson disease (PD) or dementia with Lewy bodies plays a major role in clinical practice and in clinical research. We here review the role of imaging of the nigrostriatal pathway, as well as of striatal receptors and dopamine release, in common neurodegenerative disorders in clinical practice and research. Imaging of the nigrostriatal pathway has a high diagnostic accuracy to detect nigrostriatal degeneration in disorders characterized by nigrostriatal degeneration, such as PD and dementia with Lewy bodies, and disorders of more clinical importance, namely in patients with clinically uncertain parkinsonism. Imaging of striatal dopamine D2/3 receptors is not recommended for the differential diagnosis of parkinsonian disorders in clinical practice anymore. Regarding research, recently the European Medicines Agency has qualified dopamine transporter imaging as an enrichment biomarker for clinical trials in early PD, which underlines the high diagnostic accuracy of this imaging tool and will be implemented in future trials. Also, imaging of the presynaptic dopaminergic system plays a major role in, for example, examining the extent of nigrostriatal degeneration in preclinical and premotor phases of neurodegenerative disorders and to examine subtypes of PD. Also, imaging of postsynaptic dopamine D2/3 receptors plays a role in studying, for example, the neuronal substrate of impulse control disorders in PD, as well as in measuring endogenous dopamine release to examine, for example, motor complications in the treatment of PD. Finally, novel MRI sequences as neuromelanin-sensitive MRI are promising new tools to study nigrostriatal degeneration in vivo.
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Affiliation(s)
- Elon D Wallert
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Elsmarieke van de Giessen
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands
| | - Remco J J Knol
- Department of Nuclear Medicine, Noordwest Ziekenhuisgroep, Alkmaar, The Netherlands; and
| | - Martijn Beudel
- Department of Neurology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Rob M A de Bie
- Department of Neurology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Jan Booij
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands;
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Data-driven identification of diagnostically useful extrastriatal signal in dopamine transporter SPECT using explainable AI. Sci Rep 2021; 11:22932. [PMID: 34824352 PMCID: PMC8617288 DOI: 10.1038/s41598-021-02385-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2021] [Accepted: 10/20/2021] [Indexed: 01/18/2023] Open
Abstract
This study used explainable artificial intelligence for data-driven identification of extrastriatal brain regions that can contribute to the interpretation of dopamine transporter SPECT with 123I-FP-CIT in parkinsonian syndromes. A total of 1306 123I-FP-CIT-SPECT were included retrospectively. Binary classification as ‘reduced’ or ‘normal’ striatal 123I-FP-CIT uptake by an experienced reader served as standard-of-truth. A custom-made 3-dimensional convolutional neural network (CNN) was trained for classification of the SPECT images with 1006 randomly selected images in three different settings: “full image”, “striatum only” (3-dimensional region covering the striata cropped from the full image), “without striatum” (full image with striatal region removed). The remaining 300 SPECT images were used to test the CNN classification performance. Layer-wise relevance propagation (LRP) was used for voxelwise quantification of the relevance for the CNN-based classification in this test set. Overall accuracy of CNN-based classification was 97.0%, 95.7%, and 69.3% in the “full image”, “striatum only”, and “without striatum” setting. Prominent contributions in the LRP-based relevance maps beyond the striatal signal were detected in insula, amygdala, ventromedial prefrontal cortex, thalamus, anterior temporal cortex, superior frontal lobe, and pons, suggesting that 123I-FP-CIT uptake in these brain regions provides clinically useful information for the differentiation of neurodegenerative and non-neurodegenerative parkinsonian syndromes.
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Takahashi R, Ishii K, Sousa K, Marumoto K, Kashibayashi T, Fujita J, Yokoyama K. Distinctive regional asymmetry in dopaminergic and serotoninergic dysfunction in degenerative Parkinsonisms. J Neurol Sci 2021; 423:117363. [PMID: 33640580 DOI: 10.1016/j.jns.2021.117363] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2020] [Revised: 02/05/2021] [Accepted: 02/18/2021] [Indexed: 11/16/2022]
Abstract
PURPOSE This study aimed to identify regional asymmetry in dopaminergic and serotoninergic dysfunction in degenerative parkinsonisms, using dopamine transporter single-photon emission computed tomography images. MATERIAL AND METHODS This study included 213 consecutive participants (Parkinson's disease [n = 111], dementia with Lewy bodies [n = 64], progressive supranuclear palsy with Richardson's syndrome [n = 18], and healthy participants [n = 20]) who underwent both magnetic resonance imaging and 123I-labelled 2β-carbomethoxy-3β-(4-iodophenyl)-N-(3-fluoropropyl) nortropane single-photon emission computed tomography/computed tomography. Using normalized specific binding ratio images, we created voxel-wise regional asymmetry index images to identify the regional specific pattern of regional asymmetries in degenerative parkinsonisms. RESULTS Compared with healthy controls, patients with Parkinson's disease showed a regional asymmetry index increase in the nigrostriatal dopaminergic pathway, and those with dementia with Lewy bodies showed a regional asymmetry index increase confined to the bilateral caudate. Individuals with progressive supranuclear palsy exhibited a distinct regional asymmetry index increase in the pallido-subthalamic pathway. Notably, the regional asymmetry index increase in the subthalamic nucleus was significantly greater in progressive supranuclear palsy than in Parkinson's disease. CONCLUSION The current study revealed distinctive regional asymmetry in dopaminergic and serotoninergic dysfunction in degenerative parkinsonisms. The present findings highlight the potential application of visual diagnosis in degenerative parkinsonisms.
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Affiliation(s)
- Ryuichi Takahashi
- Department of Neurology, Hyogo Prefectural Rehabilitation Hospital at Nishi-Harima, Tatsuno, Hyogo, Japan; Dementia-Related Disease Medical Center, Hyogo Prefectural Rehabilitation Hospital at Nishi-Harima, Tatsuno, Hyogo, Japan.
| | - Kazunari Ishii
- Department of Radiology, Kindai University Faculty of Medicine, Osakasayama, Osaka, Japan
| | - Kaoru Sousa
- Department of Radiology, Hyogo Prefectural Rehabilitation Hospital at Nishi-Harima, Tatsuno, Hyogo, Japan
| | - Kohei Marumoto
- Department of Neurology, Hyogo Prefectural Rehabilitation Hospital at Nishi-Harima, Tatsuno, Hyogo, Japan
| | - Tetsuo Kashibayashi
- Department of Radiology, Kindai University Faculty of Medicine, Osakasayama, Osaka, Japan
| | - Jun Fujita
- Dementia-Related Disease Medical Center, Hyogo Prefectural Rehabilitation Hospital at Nishi-Harima, Tatsuno, Hyogo, Japan
| | - Kazumasa Yokoyama
- Department of Neurology, Hyogo Prefectural Rehabilitation Hospital at Nishi-Harima, Tatsuno, Hyogo, Japan
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Oliveira FPM, Walker Z, Walker RWH, Attems J, Castanheira JC, Silva Â, Oliveira C, Vaz S, Silva M, Costa DC. 123I-FP-CIT SPECT in dementia with Lewy bodies, Parkinson's disease and Alzheimer's disease: a new quantitative analysis of autopsy confirmed cases. J Neurol Neurosurg Psychiatry 2021; 92:jnnp-2020-324606. [PMID: 33542085 DOI: 10.1136/jnnp-2020-324606] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/16/2020] [Revised: 11/27/2020] [Accepted: 01/19/2021] [Indexed: 12/22/2022]
Abstract
PURPOSE The aim of this study was to re-evaluate the differentiation of patients with dementia with Lewy bodies (DLB) from Alzheimer's disease (AD) and Parkinson's disease (PD) using a quantitative analysis of 123I-FP-CIT SPECT scans. METHODS Thirty-six patients with in vivo 123I-FP-CIT SPECT and neuropathological diagnoses were included. Based on neuropathological criteria, patients were further subclassified into nine AD, eight DLB, ten PD and nine with other diagnoses. An additional 16 healthy controls (HC) scanned with 123I-FP-CIT SPECT were also included. All images were visually assessed as normal versus abnormal uptake by consensus of five nuclear medicine physicians. Bihemispheric mean was calculated for caudate binding potential (CBP), putamen binding potential (PBP) and putamen-to-caudate ratio (PCR). RESULTS Patients with DLB had significantly lower CBP and PBP than patients with AD and significantly higher PCR than patients with PD. Qualitative visual analysis of the images gave an accuracy of 88% in the evaluation of the status of the nigrostriatal pathway considering all individuals, and 96% considering only the patients with PD, AD and DLB. Quantitative analyses provided a balanced accuracy of 94%, 94% and 100% in binary classifications DLB versus AD, DLB versus PD and PD versus AD, respectively, and an accuracy of 93% in the differentiation among patients with DLB, AD and PD simultaneously. No statistically significant differences were observed between the AD and HC. CONCLUSIONS This study demonstrates a very high diagnostic accuracy of the quantitative analysis of(123I-FP-CIT SPECT data to differentiate among patients with DLB, PD and AD.
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Affiliation(s)
| | - Zuzana Walker
- Division of Psychiatry, University College London, London, UK
- Essex Partnership University NHS Foundation Trust, Wickford, Essex, UK
| | - Rodney W H Walker
- Department of Neurology, The Royal London Hospital, Barts Health NHS Trust, London, UK
| | - Johannes Attems
- Clinical and Translational Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Joana C Castanheira
- Champalimaud Centre for the Unknown, Champalimaud Foundation, Lisboa, Portugal
| | - Ângelo Silva
- Champalimaud Centre for the Unknown, Champalimaud Foundation, Lisboa, Portugal
| | - Carla Oliveira
- Champalimaud Centre for the Unknown, Champalimaud Foundation, Lisboa, Portugal
| | - Sofia Vaz
- Champalimaud Centre for the Unknown, Champalimaud Foundation, Lisboa, Portugal
| | - Mariana Silva
- Champalimaud Centre for the Unknown, Champalimaud Foundation, Lisboa, Portugal
| | - Durval C Costa
- Champalimaud Centre for the Unknown, Champalimaud Foundation, Lisboa, Portugal
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