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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Support vector machine-based classification of neuroimages in Alzheimer's disease: direct comparison of FDG-PET, rCBF-SPECT and MRI data acquired from the same individuals

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Author(s):
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Ferreira, Luiz K. [1, 2] ; Rondina, Jane M. [3, 2] ; Kubo, Rodrigo [4] ; Ono, Carla R. [4, 5] ; Leite, Claudia C. [6] ; Smid, Jerusa [7] ; Bottino, Cassio [8] ; Nitrini, Ricardo [7] ; Busatto, Geraldo F. [1, 2] ; Duran, Fabio L. [1, 2] ; Buchpiguel, Carlos A. [1, 4, 5]
Total Authors: 11
Affiliation:
[1] Univ Sao Paulo, NAPNA, Sao Paulo, SP - Brazil
[2] Univ Sao Paulo, Hosp Clin, Fac Med, Inst Psiquiatria, Lab Neuroimagem Psiquiatria LIM2, Sao Paulo, SP - Brazil
[3] UCL, Inst Neurol, Sobell Dept Motor Neurosci & Movement Disorders, London - England
[4] Univ Sao Paulo, Fac Med, Dept Radiol & Oncol, Lab Med Nucl LIM43, Sao Paulo, SP - Brazil
[5] Hosp Coracao Assoc Sanat Sirio, Serv Med Nucl, Sao Paulo, SP - Brazil
[6] Univ Sao Paulo, Fac Med, Dept Radiol & Oncol, Sao Paulo, SP - Brazil
[7] Univ Sao Paulo, Fac Med, Dept Neurol, Sao Paulo, SP - Brazil
[8] Univ Sao Paulo, Fac Med, Dept Psiquiatria, Sao Paulo, SP - Brazil
Total Affiliations: 8
Document type: Journal article
Source: Revista Brasileira de Psiquiatria; v. 40, n. 2, p. 181-191, APR-JUN 2018.
Web of Science Citations: 3
Abstract

Objective: To conduct the first support vector machine (SVM)-based study comparing the diagnostic accuracy of T1-weighted magnetic resonance imaging (T1-MRI), F-fluorodeoxyglucose-positron emission tomography (FDG-PET) and regional cerebral blood flow single-photon emission computed tomography (rCBF-SPECT) in Alzheimer's disease (AD). Method: Brain T1-MRI, FDG-PET and rCBF-SPECT scans were acquired from a sample of mild AD patients (n=20) and healthy elderly controls (n=18). SVM-based diagnostic accuracy indices were calculated using whole-brain information and leave-one-out cross-validation. Results: The accuracy obtained using PET and SPECT data were similar. PET accuracy was 68 similar to 71% and area under curve (AUC) 0.77 similar to 0.81; SPECT accuracy was 68 similar to 74% and AUC 0.75 similar to 0.79, and both had better performance than analysis with T1-MRI data (accuracy of 58%, AUC 0.67). The addition of PET or SPECT to MRI produced higher accuracy indices (68 similar to 74%; AUC: 0.74 similar to 0.82) than T1-MRI alone, but these were not clearly superior to the isolated neurofunctional modalities. Conclusion: In line with previous evidence, FDG-PET and rCBF-SPECT more accurately identified patients with AD than T1-MRI, and the addition of either PET or SPECT to T1-MRI data yielded increased accuracy. The comparable SPECT and PET performances, directly demonstrated for the first time in the present study, support the view that rCBF-SPECT still has a role to play in AD diagnosis. (AU)

FAPESP's process: 12/50329-6 - Translational neuroscience of Alzheimer's disease: preclinical and clinical studies of b-amyloid peptide and other biomarkers
Grantee:Geraldo Busatto Filho
Support type: Research Projects - Thematic Grants
FAPESP's process: 04/05551-6 - Scintigraphic correlation between SPECT and positron emission tomography (PET) in the differential diagnosis of dementia
Grantee:Carlos Alberto Buchpiguel
Support type: Regular Research Grants