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

Author(s):Show less -

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]}

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

• 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 Opportunities: 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 Opportunities: Regular Research Grants