Role of Functional Neuroimaging with 123I-MIBG and 123I-FP-CIT in De Novo Parkinson's Disease: A Multicenter Study.

123I-FP-CIT 123I-MIBG Parkinson’s disease

Journal

Life (Basel, Switzerland)
ISSN: 2075-1729
Titre abrégé: Life (Basel)
Pays: Switzerland
ID NLM: 101580444

Informations de publication

Date de publication:
21 Aug 2023
Historique:
received: 07 07 2023
revised: 10 08 2023
accepted: 19 08 2023
medline: 26 8 2023
pubmed: 26 8 2023
entrez: 26 8 2023
Statut: epublish

Résumé

Parkinson's disease is a progressive neurodegenerative disorder, with incidence and prevalence rates of 8-18 per 100,000 people per year and 0.3-1%, respectively. As parkinsonian symptoms do not appear until approximately 50-60% of the nigral DA-releasing neurons have been lost, the impact of routine structural imaging findings is minimal at early stages, making Parkinson's disease an ideal condition for the application of functional imaging techniques. The aim of this multicenter study is to assess whether 123I-FP-CIT (DAT-SPECT), 123I-MIBG (mIBG-scintigraphy) or an association of both exams presents the highest diagnostic accuracy in de novo PD patients. 288 consecutive patients with suspected diagnoses of Parkinson's disease or non- Parkinson's disease syndromes were analyzed in the present Italian multicenter retrospective study. All subjects were de novo, drug-naive patients and met the inclusion criteria of having undergone both DAT-SPECT and mIBG-scintigraphy within one month of each other. The univariate analysis including age and both mIBG-SPECT and DAT-SPECT parameters showed that the only significant values for predicting Parkinson's disease in our population were eH/M, lH/M, ESS and LSS obtained from mIBG-scintigraphy ( mIBG-scintigraphy shows higher diagnostic accuracy in de novo Parkinson's disease patients than DAT-SPECT, so given the superiority of the MIBG study, the combined use of both exams does not appear to be mandatory in the early phase of Parkinson's disease.

Sections du résumé

BACKGROUND BACKGROUND
Parkinson's disease is a progressive neurodegenerative disorder, with incidence and prevalence rates of 8-18 per 100,000 people per year and 0.3-1%, respectively. As parkinsonian symptoms do not appear until approximately 50-60% of the nigral DA-releasing neurons have been lost, the impact of routine structural imaging findings is minimal at early stages, making Parkinson's disease an ideal condition for the application of functional imaging techniques. The aim of this multicenter study is to assess whether 123I-FP-CIT (DAT-SPECT), 123I-MIBG (mIBG-scintigraphy) or an association of both exams presents the highest diagnostic accuracy in de novo PD patients.
METHODS METHODS
288 consecutive patients with suspected diagnoses of Parkinson's disease or non- Parkinson's disease syndromes were analyzed in the present Italian multicenter retrospective study. All subjects were de novo, drug-naive patients and met the inclusion criteria of having undergone both DAT-SPECT and mIBG-scintigraphy within one month of each other.
RESULTS RESULTS
The univariate analysis including age and both mIBG-SPECT and DAT-SPECT parameters showed that the only significant values for predicting Parkinson's disease in our population were eH/M, lH/M, ESS and LSS obtained from mIBG-scintigraphy (
CONCLUSIONS CONCLUSIONS
mIBG-scintigraphy shows higher diagnostic accuracy in de novo Parkinson's disease patients than DAT-SPECT, so given the superiority of the MIBG study, the combined use of both exams does not appear to be mandatory in the early phase of Parkinson's disease.

Identifiants

pubmed: 37629643
pii: life13081786
doi: 10.3390/life13081786
pmc: PMC10455638
pii:
doi:

Types de publication

Journal Article

Langues

eng

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Auteurs

Maria Silvia De Feo (MS)

Department of Radiological Sciences, Oncology and Anatomo-Pathology, Sapienza, University of Rome, 00161 Rome, Italy.

Viviana Frantellizzi (V)

Department of Radiological Sciences, Oncology and Anatomo-Pathology, Sapienza, University of Rome, 00161 Rome, Italy.

Nicoletta Locuratolo (N)

Department of Human Neurosciences, Sapienza, University of Rome, 00161 Rome, Italy.
National Centre for Disease Prevention and Health Promotion, National Institute of Health, 00161 Rome, Italy.

Arianna Di Rocco (A)

Department of Radiological Sciences, Oncology and Anatomo-Pathology, Sapienza, University of Rome, 00161 Rome, Italy.

Alessio Farcomeni (A)

Department of Economics & Finance, University of Rome "Tor Vergata", 00133 Rome, Italy.

Caterina Pauletti (C)

Department of Human Neurosciences, Sapienza, University of Rome, 00161 Rome, Italy.

Andrea Marongiu (A)

Department of Medical, Surgical and Experimental Sciences, University of Sassari, 07100 Sassari, Italy.

Julia Lazri (J)

Department of Radiological Sciences, Oncology and Anatomo-Pathology, Sapienza, University of Rome, 00161 Rome, Italy.

Susanna Nuvoli (S)

Department of Medical, Surgical and Experimental Sciences, University of Sassari, 07100 Sassari, Italy.

Francesco Fattapposta (F)

Department of Human Neurosciences, Sapienza, University of Rome, 00161 Rome, Italy.

Giuseppe De Vincentis (G)

Department of Radiological Sciences, Oncology and Anatomo-Pathology, Sapienza, University of Rome, 00161 Rome, Italy.

Angela Spanu (A)

Department of Medical, Surgical and Experimental Sciences, University of Sassari, 07100 Sassari, Italy.

Classifications MeSH