Literature DB >> 21916850

[(123) I]FP-CIT-SPECT asymmetry index to differentiate Parkinson's disease from vascular parkinsonism.

D Contrafatto1, G Mostile, A Nicoletti, V Dibilio, L Raciti, S Lanzafame, A Luca, A Distefano, M Zappia.   

Abstract

OBJECTIVES: Differential diagnosis between vascular parkinsonism (VP) and Parkinson's Disease (PD) is often difficult, due to the overlap in clinical presentation and the lack of specificity at neuroimaging. Aim of the study was to identify a possible reliable marker at SPECT imaging useful to distinguish the two conditions.
MATERIAL AND METHODS: We studied 20 PD, 20 VP and 20 essential tremor (ET) patients as control group, who had undergone a cerebral [(123) I] FP-CIT SPECT. A semiquantitative analysis was performed on DaTSCAN SPECT imaging and to establish the degree of asymmetry of the ligand uptake the Striatal Asymmetry Index (SAI) was used.
RESULTS: The binding of the ligand in the most affected side resulted significantly lower in VP than in ET patients but higher compared to PD patients. SAI was significantly higher in PD compared to VP (P < 0.001) and ET (P < 0.001) groups. We found that a cut-off of SAI greater than 14.08 could differentiate PD from VP with a 100% specificity and a 50% sensitivity.
CONCLUSIONS: SAI detected using [(123) I]FP-CIT SPECT can be used to differentiate VP and PD with a good degree of certainty.
© 2011 John Wiley & Sons A/S.

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Year:  2011        PMID: 21916850     DOI: 10.1111/j.1600-0404.2011.01583.x

Source DB:  PubMed          Journal:  Acta Neurol Scand        ISSN: 0001-6314            Impact factor:   3.209


  16 in total

1.  Correlation between neuromelanin-sensitive MR imaging and (123)I-FP-CIT SPECT in patients with parkinsonism.

Authors:  Keita Kuya; Yuki Shinohara; Fuminori Miyoshi; Shinya Fujii; Yoshio Tanabe; Toshihide Ogawa
Journal:  Neuroradiology       Date:  2016-01-16       Impact factor: 2.804

2.  Machine learning models for the differential diagnosis of vascular parkinsonism and Parkinson's disease using [(123)I]FP-CIT SPECT.

Authors:  I Huertas-Fernández; F J García-Gómez; D García-Solís; S Benítez-Rivero; V A Marín-Oyaga; S Jesús; M T Cáceres-Redondo; J A Lojo; J F Martín-Rodríguez; F Carrillo; P Mir
Journal:  Eur J Nucl Med Mol Imaging       Date:  2014-08-14       Impact factor: 9.236

3.  Specific Signatures of Serum miRNAs as Potential Biomarkers to Discriminate Clinically Similar Neurodegenerative and Vascular-Related Diseases.

Authors:  Cristina Barbagallo; Giovanni Mostile; Gloriangela Baglieri; Flavia Giunta; Antonina Luca; Loredana Raciti; Mario Zappia; Michele Purrello; Marco Ragusa; Alessandra Nicoletti
Journal:  Cell Mol Neurobiol       Date:  2019-11-06       Impact factor: 5.046

4.  Validation of Simple Quantification Methods for (18)F-FP-CIT PET Using Automatic Delineation of Volumes of Interest Based on Statistical Probabilistic Anatomical Mapping and Isocontour Margin Setting.

Authors:  Yong-Il Kim; Hyung-Jun Im; Jin Chul Paeng; Jae Sung Lee; Jae Seon Eo; Dong Hyun Kim; Euishin E Kim; Keon Wook Kang; June-Key Chung; Dong Soo Lee
Journal:  Nucl Med Mol Imaging       Date:  2012-08-02

5.  [123I]Metaiodobenzylguanidine (MIBG) Cardiac Scintigraphy and Automated Classification Techniques in Parkinsonian Disorders.

Authors:  Susanna Nuvoli; Angela Spanu; Mario Luca Fravolini; Francesco Bianconi; Silvia Cascianelli; Giuseppe Madeddu; Barbara Palumbo
Journal:  Mol Imaging Biol       Date:  2020-06       Impact factor: 3.488

6.  Establishing On-Site Reference Values for (123)I-FP-CIT SPECT (DaTSCAN®) Using a Cohort of Individuals with Non-Degenerative Conditions.

Authors:  Nicolas Nicastro; Valentina Garibotto; Antoine Poncet; Simon Badoud; Pierre R Burkhard
Journal:  Mol Imaging Biol       Date:  2016-04       Impact factor: 3.488

7.  The Utility of the Combined Use of 123I-FP-CIT and 123I-MIBG Myocardial Scintigraphy in Differentiating Parkinson's Disease from Other Parkinsonian Syndromes.

Authors:  Eiji Matsusue; Yoshio Fujihara; Kenichiro Tanaka; Yuki Aozasa; Manabu Shimoda; Hiroyuki Nakayasu; Kazuhiko Nakamura; Toshihide Ogawa
Journal:  Yonago Acta Med       Date:  2018-06-18       Impact factor: 1.641

8.  A diagnostic strategy for Parkinsonian syndromes using quantitative indices of DAT SPECT and MIBG scintigraphy: an investigation using the classification and regression tree analysis.

Authors:  Yu Iwabuchi; Masashi Kameyama; Yohji Matsusaka; Hidetoshi Narimatsu; Masahiro Hashimoto; Morinobu Seki; Daisuke Ito; Hajime Tabuchi; Yoshitake Yamada; Masahiro Jinzaki
Journal:  Eur J Nucl Med Mol Imaging       Date:  2021-01-03       Impact factor: 9.236

9.  Single-site 123I-FP-CIT reference values from individuals with non-degenerative parkinsonism-comparison with values from healthy volunteers.

Authors:  Rachid Fahmi; Günther Platsch; Alexandre Bani Sadr; Sylvain Gouttard; Stephane Thobois; Sven Zuehlsdorff; Christian Scheiber
Journal:  Eur J Hybrid Imaging       Date:  2020-03-13

Review 10.  SPECT molecular imaging in Parkinson's disease.

Authors:  Ling Wang; Qi Zhang; Huanbin Li; Hong Zhang
Journal:  J Biomed Biotechnol       Date:  2012-03-24
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