| Full text | |
| 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]
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 - Neurociencia translacional da doenca de alzheimer:estudos pre-clinicos e clinicos do peptideo b-amiloide e outros biomarcadores. |
| Grantee: | Geraldo Busatto Filho |
| Support Opportunities: | Research Projects - Thematic Grants |
| FAPESP's process: | 04/05551-6 - Correlacao cintilografica entre spect cerebral e tomografia por emissao de positrons (pet) no diagnostico diferencial das demencias. |
| Grantee: | Carlos Alberto Buchpiguel |
| Support Opportunities: | Regular Research Grants |