Literature DB >> 28063108

Validation of 18F-FDG-PET Single-Subject Optimized SPM Procedure with Different PET Scanners.

Luca Presotto1,2, Tommaso Ballarini1, Silvia Paola Caminiti1,2, Valentino Bettinardi3, Luigi Gianolli3, Daniela Perani4,5,6.   

Abstract

18F-fluoro-deoxy-glucose Positron Emission Tomography (FDG-PET) allows early identification of neurodegeneration in dementia. The use of an optimized method based on the SPM software package highly improves diagnostic accuracy. However, the impact of different scanners for data acquisition on the SPM results and the effects of different pools of healthy subjects on the statistical comparison have not been investigated yet. Images from 144 AD patients acquired using six different PET scanners were analysed with an optimized single-subject SPM procedure to identify the typical AD hypometabolism pattern at single subject level. We compared between-scanners differences on the SPM outcomes in a factorial design. Single-subject SPM comparison analyses were also performed against a different group of healthy controls from the ADNI initiative. The concordance between the two analyses (112 vs. 157 control subjects) was tested using Dice scores. In addition, we applied the optimized single-subject SPM procedure to the FDG-PET data acquired with 3 different scanners in 57 MCI subjects, in order to assess for tomograph influence in early disease phase. All the patients showed comparable AD-like hypometabolic patterns, also in the prodromal phase, in spite of being acquired with different PET scanners. SPM statistical comparisons performed with the two different healthy control databases showed a high degree of concordance (76% average pattern volume overlap and 90% voxel-wise agreement in AD-related brain structures). The validated optimized SPM-based single-subject procedure is influenced neither by the scanners used for image acquisition, nor by differences in healthy control groups, thus implying a great reliability of this method for longitudinal and multicentre studies.

Entities:  

Keywords:  18F–fluoro-deoxy-glucose-PET; Biomarker; Dementia; Early diagnosis; Semi-quantitative method; Single-subject; Statistical method

Mesh:

Substances:

Year:  2017        PMID: 28063108     DOI: 10.1007/s12021-016-9322-9

Source DB:  PubMed          Journal:  Neuroinformatics        ISSN: 1539-2791


  49 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  2001-08-28       Impact factor: 11.205

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Authors:  G Chételat; B Desgranges; V de la Sayette; F Viader; F Eustache; J-C Baron
Journal:  Neurology       Date:  2003-04-22       Impact factor: 9.910

3.  Visual versus semi-quantitative analysis of 18F-FDG-PET in amnestic MCI: an European Alzheimer's Disease Consortium (EADC) project.

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4.  Diagnosis and management of dementia with Lewy bodies: third report of the DLB Consortium.

Authors:  Laura Bonanni; Astrid Thomas; Marco Onofrj
Journal:  Neurology       Date:  2006-05-09       Impact factor: 9.910

5.  Adjusted scaling of FDG positron emission tomography images for statistical evaluation in patients with suspected Alzheimer's disease.

Authors:  Ralph Buchert; Florian Wilke; Bhismadev Chakrabarti; Brigitte Martin; Winfried Brenner; Janos Mester; Malte Clausen
Journal:  J Neuroimaging       Date:  2005-10       Impact factor: 2.486

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Authors:  Norman L Foster; Judith L Heidebrink; Christopher M Clark; William J Jagust; Steven E Arnold; Nancy R Barbas; Charles S DeCarli; R Scott Turner; Robert A Koeppe; Roger Higdon; Satoshi Minoshima
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Journal:  PLoS One       Date:  2015-03-10       Impact factor: 3.240

9.  Brain metabolic maps in Mild Cognitive Impairment predict heterogeneity of progression to dementia.

Authors:  Chiara Cerami; Pasquale Anthony Della Rosa; Giuseppe Magnani; Roberto Santangelo; Alessandra Marcone; Stefano F Cappa; Daniela Perani
Journal:  Neuroimage Clin       Date:  2014-12-05       Impact factor: 4.881

10.  Validation of an optimized SPM procedure for FDG-PET in dementia diagnosis in a clinical setting.

Authors:  Daniela Perani; Pasquale Anthony Della Rosa; Chiara Cerami; Francesca Gallivanone; Federico Fallanca; Emilia Giovanna Vanoli; Andrea Panzacchi; Flavio Nobili; Sabina Pappatà; Alessandra Marcone; Valentina Garibotto; Isabella Castiglioni; Giuseppe Magnani; Stefano F Cappa; Luigi Gianolli
Journal:  Neuroimage Clin       Date:  2014-10-24       Impact factor: 4.881

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Review 1.  Spatial normalization and quantification approaches of PET imaging for neurological disorders.

Authors:  Teng Zhang; Shuang Wu; Xiaohui Zhang; Yiwu Dai; Anxin Wang; Hong Zhang; Mei Tian
Journal:  Eur J Nucl Med Mol Imaging       Date:  2022-05-28       Impact factor: 10.057

2.  Brain Metabolism and Amyloid Load in Individuals With Subjective Cognitive Decline or Pre-Mild Cognitive Impairment.

Authors:  Giacomo Tondo; Cecilia Boccalini; Emilia Giovanna Vanoli; Luca Presotto; Cristina Muscio; Valentina Ciullo; Nerisa Banaj; Federica Piras; Graziella Filippini; Pietro Tiraboschi; Fabrizio Tagliavini; Giovanni Battista Frisoni; Stefano F Cappa; Gianfranco Spalletta; Daniela Perani
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3.  Factors affecting the harmonization of disease-related metabolic brain pattern expression quantification in [18F]FDG-PET (PETMETPAT).

Authors:  Rosalie V Kogan; Bas A de Jong; Remco J Renken; Sanne K Meles; Paul J H van Snick; Sandeep Golla; Sjoerd Rijnsdorp; Daniela Perani; Klaus L Leenders; Ronald Boellaard
Journal:  Alzheimers Dement (Amst)       Date:  2019-06-22

4.  High-resolution pediatric age-specific 18F-FDG PET template: a pilot study in epileptogenic focus localization.

Authors:  Teng Zhang; Yuting Li; Shuilin Zhao; Yuanfan Xu; Xiaohui Zhang; Shuang Wu; Xiaofeng Dou; Congcong Yu; Jianhua Feng; Yao Ding; Junming Zhu; Zexin Chen; Hong Zhang; Mei Tian
Journal:  Eur J Nucl Med Mol Imaging       Date:  2021-11-08       Impact factor: 10.057

5.  Quantitative analysis of regional distribution of tau pathology with 11C-PBB3-PET in a clinical setting.

Authors:  Elham Yousefzadeh-Nowshahr; Gordon Winter; Peter Bohn; Katharina Kneer; Christine A F von Arnim; Markus Otto; Christoph Solbach; Sarah Anderl-Straub; Dörte Polivka; Patrick Fissler; Joachim Strobel; Peter Kletting; Matthias W Riepe; Makoto Higuchi; Gerhard Glatting; Albert Ludolph; Ambros J Beer
Journal:  PLoS One       Date:  2022-04-11       Impact factor: 3.752

6.  Combined quantitative T2 mapping and [18F]FDG PET could improve lateralization of mesial temporal lobe epilepsy.

Authors:  Miao Zhang; Hui Huang; Wei Liu; Lihong Tang; Qikang Li; Jia Wang; Xinyun Huang; Xiaozhu Lin; Hongping Meng; Jin Wang; Shikun Zhan; Biao Li; Jie Luo
Journal:  Eur Radiol       Date:  2022-03-28       Impact factor: 7.034

7.  Time-dependent recovery of brain hypometabolism in neuro-COVID-19 patients.

Authors:  Anna Lisa Martini; Giulia Carli; Lorenzo Kiferle; Patrizia Piersanti; Pasquale Palumbo; Silvia Morbelli; Maria Lucia Calcagni; Daniela Perani; Stelvio Sestini
Journal:  Eur J Nucl Med Mol Imaging       Date:  2022-08-19       Impact factor: 10.057

8.  18F-FDG PET, cognitive functioning, and CSF biomarkers in patients with obstructive sleep apnoea before and after continuous positive airway pressure treatment.

Authors:  Mariana Fernandes; Luisa Mari; Agostino Chiaravalloti; Barbara Paoli; Marzia Nuccetelli; Francesca Izzi; Maria Pia Giambrone; Riccardo Camedda; Sergio Bernardini; Orazio Schillaci; Nicola Biagio Mercuri; Fabio Placidi; Claudio Liguori
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9.  A biomarker study in long-lasting amnestic mild cognitive impairment.

Authors:  Chiara Cerami; Alessandra Dodich; Sandro Iannaccone; Giuseppe Magnani; Roberto Santangelo; Luca Presotto; Alessandra Marcone; Luigi Gianolli; Stefano F Cappa; Daniela Perani
Journal:  Alzheimers Res Ther       Date:  2018-04-25       Impact factor: 6.982

10.  Machine learning identified an Alzheimer's disease-related FDG-PET pattern which is also expressed in Lewy body dementia and Parkinson's disease dementia.

Authors:  Audrey Katako; Paul Shelton; Andrew L Goertzen; Daniel Levin; Bohdan Bybel; Maram Aljuaid; Hyun Jin Yoon; Do Young Kang; Seok Min Kim; Chong Sik Lee; Ji Hyun Ko
Journal:  Sci Rep       Date:  2018-09-05       Impact factor: 4.379

  10 in total

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