https://observatorio.fm.usp.br/handle/OPI/26922
Title: | 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 |
Authors: | FERREIRA, Luiz K.; RONDINA, Jane M.; KUBO, Rodrigo; ONO, Carla R.; LEITE, Claudia C.; SMID, Jerusa; BOTTINO, Cassio; NITRINI, Ricardo; BUSATTO, Geraldo F.; DURAN, Fabio L.; BUCHPIGUEL, Carlos A. |
Citation: | REVISTA BRASILEIRA DE PSIQUIATRIA, v.40, n.2, p.181-191, 2018 |
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. |
Appears in Collections: | Artigos e Materiais de Revistas Científicas - FM/MDR Artigos e Materiais de Revistas Científicas - FM/MNE Artigos e Materiais de Revistas Científicas - FM/MPS Artigos e Materiais de Revistas Científicas - HC/ICESP Artigos e Materiais de Revistas Científicas - HC/ICHC Artigos e Materiais de Revistas Científicas - HC/InRad Artigos e Materiais de Revistas Científicas - LIM/15 Artigos e Materiais de Revistas Científicas - LIM/21 Artigos e Materiais de Revistas Científicas - LIM/43 Artigos e Materiais de Revistas Científicas - LIM/44 |
File | Description | Size | Format | |
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art_FERREIRA_Support_vector_machinebased_classification_of_neuroimages_in_Alzheimers_2018.PDF | publishedVersion (English) | 1.97 MB | Adobe PDF | View/Open |
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