Person: Villarejo Galende, Alberto
Universidad Complutense de Madrid
Faculty / Institute
Now showing 1 - 2 of 2
- PublicationTexture-Based Analysis of 18F-Labeled Amyloid PET Brain Images(MPDI, 2021-02-24) Seiffert, Alexander P.; Gómez-Grande, Adolfo; Milara, Eva; Llamas Velasco, Sara; Villarejo Galende, Alberto; Gómez, Enrique J.; Sánchez-González, PatriciaAmyloid positron emission tomography (PET) brain imaging with radiotracers like [18F]florbetapir (FBP) or [18F]flutemetamol (FMM) is frequently used for the diagnosis of Alzheimer’s disease. Quantitative analysis is usually performed with standardized uptake value ratios (SUVR), which are calculated by normalizing to a reference region. However, the reference region could present high variability in longitudinal studies. Texture features based on the grey-level co-occurrence matrix, also called Haralick features (HF), are evaluated in this study to discriminate between amyloid-positive and negative cases. A retrospective study cohort of 66 patients with amyloid PET images (30 [18F]FBP and 36 [18F]FMM) was selected and SUVRs and 6 HFs were extracted from 13 cortical volumes of interest. Mann–Whitney U-tests were performed to analyze differences of the features between amyloid positive and negative cases. Receiver operating characteristic (ROC) curves were computed and their area under the curve (AUC) was calculated to study the discriminatory capability of the features. SUVR proved to be the most significant feature among all tests with AUCs between 0.692 and 0.989. All HFs except correlation also showed good performance. AUCs of up to 0.949 were obtained with the HFs. These results suggest the potential use of texture features for the classification of amyloid PET images
- PublicationMortalidad asociada a demencia en la cohorte NEDICES(Universidad Complutense de Madrid, Servicio de Publicaciones, 2012-01-23) Villarejo Galende, Alberto; Bermejo Pareja, Felix; Rodríguez Vallejo, AlfonsoEn el presente trabajo nos planteamos aclarar mediante un estudio poblacional las relaciones entre demencia y mortalidad, así como el posible papel de factores que pueden modificar esta relación, como la edad, el sexo, el nivel educativo, la comorbilidad, la gravedad o el tipo de demencia. Como complemento del estudio, también se analizan las causas de muerte de las personas con demencia.