Literature DB >> 29905019

I-123 DaTscan SPECT Brain Imaging in Parkinsonian Syndromes: Utility of the Putamen-to-Caudate Ratio.

Manuela Matesan1, Santhosh Gaddikeri2, Katelan Longfellow3, Robert Miyaoka1, Saeed Elojeimy1,4, Shana Elman1, Shu-Ching Hu5, Satoshi Minoshima6, David Lewis1.   

Abstract

BACKGROUND AND
PURPOSE: Computer-based analysis of Dopamine transporter imaging (DaTscan) can aid in image interpretation. In this study, we examined the distribution of putamen-to-caudate ratios (PCRs) obtained by using a clinically available semiquantification method.
METHODS: Medical records of 32 patients (M:16) with a diagnosis of Parkinson's disease (PD) (n = 22) or Parkinson's plus syndromes (PPS) (n = 10) based on clinical follow-up, were retrospectively reviewed. Single photon emission tomography (SPECT) imaging was performed 4 hours after intravenous injection of 3-5 mCi [I-123]-ioflupane. Semiquantitative evaluation using DaTQUANT software was performed. Utility of PCR with a cutoff of .7 and .8 in the diagnosis of nigrostriatal degeneration was assessed. PD and PPS groups based on clinical assessment and caudate-to-background ratio (CBR) were assessed separately.
RESULTS: Minimum PCR for both hemispheres was .74 ± .09 (Mean ± SD, range: .58-.89), with 65.63% patients (21/32) having PCR > .7. Mean PCR in mild nigrostriatal degeneration was .77 ± .08 (range: .62-.89) and in advanced nigrostriatal degeneration was .73 ± .09 (range: .58-.89). Mean PCR in PD group was .73 ± .09 (range: .58-.89) and in PPS group was .75 ± .10 (range: .61-.88).
CONCLUSIONS: Although PCR can intrinsically be a useful indication of disease, this ratio obtained in our analysis by using one of the clinically available automatic semiquantitative methods has large variability and might not be a reliable numeric marker in interpretation of [I-123]ioflupane studies. This may be due to difficulty in separating caudate from putamen on SPECT images, as well as the nonuniform decreased Ioflupane uptake in both putamen and caudate.
© 2018 by the American Society of Neuroimaging.

Entities:  

Keywords:  DaTscan; I-123-Ioflupane; quantification

Mesh:

Substances:

Year:  2018        PMID: 29905019     DOI: 10.1111/jon.12530

Source DB:  PubMed          Journal:  J Neuroimaging        ISSN: 1051-2284            Impact factor:   2.486


  9 in total

1.  The role of the deep convolutional neural network as an aid to interpreting brain [18F]DOPA PET/CT in the diagnosis of Parkinson's disease.

Authors:  Arnoldo Piccardo; Roberto Cappuccio; Gianluca Bottoni; Diego Cecchin; Luca Mazzella; Alessio Cirone; Sergio Righi; Martina Ugolini; Pietro Bianchi; Pietro Bertolaccini; Elena Lorenzini; Michela Massollo; Antonio Castaldi; Francesco Fiz; Laura Strada; Angelina Cistaro; Massimo Del Sette
Journal:  Eur Radiol       Date:  2021-03-08       Impact factor: 5.315

Review 2.  Challenges in the diagnosis of Parkinson's disease.

Authors:  Eduardo Tolosa; Alicia Garrido; Sonja W Scholz; Werner Poewe
Journal:  Lancet Neurol       Date:  2021-05       Impact factor: 44.182

3.  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

Review 4.  Dopamine transporter SPECT imaging in Parkinson’s disease and parkinsonian disorders

Authors:  Ümit Özgür Akdemir; Ayşe Bora Tokçaer; Lütfiye Özlem Atay
Journal:  Turk J Med Sci       Date:  2021-04-30       Impact factor: 0.973

5.  EANM practice guideline/SNMMI procedure standard for dopaminergic imaging in Parkinsonian syndromes 1.0.

Authors:  Silvia Morbelli; Giuseppe Esposito; Javier Arbizu; Henryk Barthel; Ronald Boellaard; Nico I Bohnen; David J Brooks; Jacques Darcourt; John C Dickson; David Douglas; Alexander Drzezga; Jacob Dubroff; Ozgul Ekmekcioglu; Valentina Garibotto; Peter Herscovitch; Phillip Kuo; Adriaan Lammertsma; Sabina Pappata; Iván Peñuelas; John Seibyl; Franck Semah; Livia Tossici-Bolt; Elsmarieke Van de Giessen; Koen Van Laere; Andrea Varrone; Michele Wanner; George Zubal; Ian Law
Journal:  Eur J Nucl Med Mol Imaging       Date:  2020-05-09       Impact factor: 9.236

Review 6.  Molecular Imaging of the Dopamine Transporter.

Authors:  Giovanni Palermo; Roberto Ceravolo
Journal:  Cells       Date:  2019-08-10       Impact factor: 6.600

Review 7.  Clinical Sphingolipids Pathway in Parkinson's Disease: From GCase to Integrated-Biomarker Discovery.

Authors:  Ali Esfandiary; David Isaac Finkelstein; Nicolas Hans Voelcker; David Rudd
Journal:  Cells       Date:  2022-04-15       Impact factor: 7.666

8.  Soft Attention Based DenseNet Model for Parkinson's Disease Classification Using SPECT Images.

Authors:  Mahima Thakur; Harisudha Kuresan; Samiappan Dhanalakshmi; Khin Wee Lai; Xiang Wu
Journal:  Front Aging Neurosci       Date:  2022-07-13       Impact factor: 5.702

9.  Diagnosis of Parkinson syndrome and Lewy-body disease using 123I-ioflupane images and a model with image features based on machine learning.

Authors:  Kenichi Nakajima; Shintaro Saito; Zhuoqing Chen; Junji Komatsu; Koji Maruyama; Naoki Shirasaki; Satoru Watanabe; Anri Inaki; Kenjiro Ono; Seigo Kinuya
Journal:  Ann Nucl Med       Date:  2022-07-07       Impact factor: 2.258

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.