Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 7 de 7
Filter
1.
Phys Med ; 121: 103345, 2024 May.
Article in English | MEDLINE | ID: mdl-38581963

ABSTRACT

PURPOSE: To evaluate whether the Centiloid Scale may be used to diagnose Alzheimer's Disease (AD) pathology effectively with the only use of amyloid PET imaging modality from a brain-dedicated PET scanner. METHODS: This study included 26 patients with amyloid PET images with 3 different radiotracers. All patients were acquired both on a PET/CT and a brain-dedicated PET scanner (CareMiBrain, CMB), from which 4 different reconstructions were implemented. A new pipeline was proposed and used for the PET image analysis based on the original Centiloid Scale processing pipeline, but with only PET images. The Youden's Index was employed to calculate the optimal cutoffs for diagnosis and evaluated by the AUC, accuracy, precision, and recall metrics. RESULTS: The Centiloid Scale (CL) processing pipeline was validated with and without the use of MR images. The CL cutoffs for AD pathology diagnosis on the PET/CT and the 4 CMB reconstructions were 34.4 ±â€¯2.2, 43.5 ±â€¯3.5, 51.9 ±â€¯12.5, 57.5 ±â€¯6.8 and 41.8 ±â€¯1.2 respectively. Overall, for these cutoffs all metrics obtained the maximum score. CONCLUSION: The Centiloid scale applied to PET images allows for AD pathology diagnosis. The CMB scanner can be used with the Centiloid scale to automatically assist in the diagnosis of AD pathology, relieving the large burden of neurodegenerative diseases on a traditional PET/CT.


Subject(s)
Alzheimer Disease , Amyloid , Brain , Image Processing, Computer-Assisted , Positron-Emission Tomography , Alzheimer Disease/diagnostic imaging , Humans , Brain/diagnostic imaging , Amyloid/metabolism , Aged , Male , Positron-Emission Tomography/methods , Image Processing, Computer-Assisted/methods , Female , Positron Emission Tomography Computed Tomography/methods , Aged, 80 and over , Middle Aged
2.
Behav Brain Res ; 461: 114844, 2024 Mar 12.
Article in English | MEDLINE | ID: mdl-38176615

ABSTRACT

OBJECTIVE: Dementia is a major public health problem with high needs for early detection, efficient treatment, and prognosis evaluation. Social cognition impairment could be an early dementia indicator and can be assessed with emotion recognition evaluation tests. The purpose of this study is to investigate the link between different brain imaging modalities and cognitive status in Mild Cognitive Impairment (MCI) patients, with the goal of uncovering potential physiopathological mechanisms based on social cognition performance. METHODS: The relationship between the Reading the Mind in the Eyes Test (RMET) and some clinical and biochemical variables ([18 F]FDG PET-CT and anatomical MR parameters, neuropsychological evaluation, and CSF biomarkers) was studied in 166 patients with MCI by using a correlational approach. RESULTS: The RMET correlated with neuropsychological variables, as well as with structural and functional brain parameters obtained from the MR and FDG-PET imaging evaluation. However, significant correlations between the RMET and CSF biomarkers were not found. DISCUSSION: Different neuroimaging parameters were found to be related to an emotion recognition task in MCI. This analysis identified potential minimally-invasive biomarkers providing some knowledge about the physiopathological mechanisms in MCI.


Subject(s)
Alzheimer Disease , Cognitive Dysfunction , Humans , Fluorodeoxyglucose F18 , Positron Emission Tomography Computed Tomography , Alzheimer Disease/pathology , Neuroimaging , Emotions , Neuropsychological Tests , Biomarkers
3.
Front Psychiatry ; 14: 1290002, 2023.
Article in English | MEDLINE | ID: mdl-38173708

ABSTRACT

Background: Limited information is available on the active process of seeking medical help in patients with Alzheimer's disease (AD) at early stages. The aim of this study was to assess the phenomenon of medical help-seeking in early AD and to identify associated factors. Methods: A multicenter, non-interventional study was conducted including patients of 50-90 years of age with prodromal or mild AD (National Institute on Aging/Alzheimer's Association criteria), a Mini-Mental State Examination (MMSE) score ≥ 22, and a Clinical Dementia Rating-Global score (CDR-GS) of 0.5-1.0. A multivariate logistic regression analysis was conducted. Results: A total of 149 patients were included. Mean age (SD) was 72.3 (7.0) years, 50.3% were female, and 87.2% had a CDR-GS score of 0.5. Mean disease duration was 1.4 (1.8) years. Ninety-four (63.1%) patients sought medical help, mostly from neurologists. Patients with help-seeking intentions were mostly female (60.6%) with a CDR-GS score of 0.5 (91.5%) and had a greater awareness of diagnosis, poorer quality of life, more depressive symptoms, and a more severe perception of their condition than their counterparts. Lack of help-seeking intentions was associated with male sex (p = 0.003), fewer years of education (p = 0.005), a low awareness of diagnosis (p = 0.005), and a low emotional consequence of the condition (p = 0.016). Conclusion: Understanding the phenomenon of active medical help-seeking may facilitate the design of specific strategies to improve the detection of cognitive impairment, especially in patients with a lower level of educational attainment and poor awareness of their condition.

4.
J Alzheimers Dis ; 90(2): 719-726, 2022.
Article in English | MEDLINE | ID: mdl-36155523

ABSTRACT

BACKGROUND: There is a need to better understand the experience of patients living with Alzheimer's disease (AD) in the early stages. OBJECTIVE: The aim of the study was to evaluate the perception of quality of life in patients with early-stage AD. METHODS: A multicenter, non-interventional study was conducted including patients of 50-90 years of age with prodromal or mild AD, a Mini-Mental State Examination (MMSE) score ≥22, and a Clinical Dementia Rating-Global score (CDR-GS) of 0.5.-1.0. The Quality of Life in Alzheimer 's Disease (QoL-AD) questionnaire was used to assess health-related quality of life. A battery of self-report instruments was used to evaluate different psychological and behavioral domains. Associations between the QoL-AD and other outcome measures were analyzed using Spearman's rank correlations. RESULTS: A total of 149 patients were included. Mean age (SD) was 72.3 (7.0) years and mean disease duration was 1.4 (1.8) years. Mean MMSE score was 24.6 (2.1). The mean QoL-AD score was 37.9 (4.5). Eighty-three percent (n = 124) of patients had moderate-to-severe hopelessness, 22.1% (n = 33) had depressive symptoms, and 36.9% (n = 55) felt stigmatized. The quality of life showed a significant positive correlation with self-efficacy and negative correlations with depression, emotional and practical consequences, stigma, and hopelessness. CONCLUSION: Stigma, depressive symptoms, and hopelessness are frequent scenarios in AD negatively impacting quality of life, even in a population with short disease duration and minimal cognitive impairment.


Subject(s)
Alzheimer Disease , Cognitive Dysfunction , Humans , Aged , Alzheimer Disease/psychology , Quality of Life/psychology , Surveys and Questionnaires , Self Report
5.
Neurol Ther ; 11(3): 1183-1192, 2022 Sep.
Article in English | MEDLINE | ID: mdl-35648383

ABSTRACT

INTRODUCTION: Limited information is available on people's experiences of living with Alzheimer's disease (AD) at earlier stages. This study assessed awareness of diagnosis among people with early-stage AD and its impact on different person-centered outcome measures. METHODS: We conducted an observational, cross-sectional study in 21 memory clinics in Spain. Persons aged 50-90 years, diagnosed with prodromal or mild AD (NIA/AA criteria), a Mini Mental State Examination (MMSE) score ≥ 22, and a Clinical Dementia Rating-Global score (CDR-GS) of 0.5 or 1.0 were recruited. The Representations and Adjustment to Dementia Index (RADIX) was used to assess participants' beliefs about their condition and its consequences. RESULTS: A total of 149 persons with early-stage AD were studied. Mean (SD) age was 72.3 (7.0) years and 50.3% were female. Mean duration of AD was 1.4 (1.8) years. Mean MMSE score was 24.6 (2.1) and 87.2% had a CDR-GS score of 0.5. Most participants (n = 84, 57.5%) used a descriptive term related to specific AD symptoms (e.g., memory difficulties) when asked what they called their condition. Participants aware of their diagnosis using the term AD (n = 66, 45.2%) were younger, had more depressive symptoms, and poorer life satisfaction and quality of life compared to those without awareness of their specific diagnosis. Practical and emotional consequences RADIX scores showed a significant negative correlation with Quality of Life in Alzheimer's Disease score (rho = - 0.389 and - 0.413, respectively; p < 0.0001). Years of education was the only predictor of awareness of AD diagnosis [OR = 1.04 (95% CI 1.00-1.08); p = 0.029]. CONCLUSIONS: Awareness of diagnosis was a common phenomenon in persons with early-stage AD negatively impacting their quality of life. Understanding illness representations in earlier stages may facilitate implementing optimized care that supports improved quality of life and well-being.

6.
J Med Syst ; 46(8): 52, 2022 Jun 17.
Article in English | MEDLINE | ID: mdl-35713815

ABSTRACT

The purpose of this project is to develop and validate a Deep Learning (DL) FDG PET imaging algorithm able to identify patients with any neurodegenerative diseases (Alzheimer's Disease (AD), Frontotemporal Degeneration (FTD) or Dementia with Lewy Bodies (DLB)) among patients with Mild Cognitive Impairment (MCI). A 3D Convolutional neural network was trained using images from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database. The ADNI dataset used for the model training and testing consisted of 822 subjects (472 AD and 350 MCI). The validation was performed on an independent dataset from La Fe University and Polytechnic Hospital. This dataset contained 90 subjects with MCI, 71 of them developed a neurodegenerative disease (64 AD, 4 FTD and 3 DLB) while 19 did not associate any neurodegenerative disease. The model had 79% accuracy, 88% sensitivity and 71% specificity in the identification of patients with neurodegenerative diseases tested on the 10% ADNI dataset, achieving an area under the receiver operating characteristic curve (AUC) of 0.90. On the external validation, the model preserved 80% balanced accuracy, 75% sensitivity, 84% specificity and 0.86 AUC. This binary classifier model based on FDG PET images allows the early prediction of neurodegenerative diseases in MCI patients in standard clinical settings with an overall 80% classification balanced accuracy.


Subject(s)
Alzheimer Disease , Cognitive Dysfunction , Frontotemporal Dementia , Neurodegenerative Diseases , Alzheimer Disease/diagnostic imaging , Artificial Intelligence , Cognitive Dysfunction/diagnostic imaging , Fluorodeoxyglucose F18 , Humans , Neurodegenerative Diseases/diagnostic imaging , Positron-Emission Tomography/methods
7.
Alzheimer (Barc., Internet) ; (55): 5-11, sept.-dic. 2013. tab
Article in Spanish | IBECS | ID: ibc-118535

ABSTRACT

Objetivo. Evaluar la calidad de vida de pacientes con enfermedad de Alzheimer y relacionarla con el estado cognitivo y funcional. Método y pacientes. Se realizó la encuesta de calidad de vida SF-36, Versión Española 1.4, calculando la suma cruda de los resultados transformados en una escala 0-100 en las ocho dimensiones del test. Los pacientes fueron remitidos por neurólogos que trabajan de forma preferente en demencias en el área metropolitana de Valencia y poblaciones adyacentes, con diagnóstico de enfermedad de Alzheimer probable según los criterios del NINCDSADRDA. Se recogieron datos desde el punto de vista demográfico y social. Se realizó la escala de deterioro global, el Mini Mental State Examination (MMSE) y la fluencia verbal (FV). El estudio estadístico se realizó mediante la regresión lineal simple. Resultados. Se entrevistó a 111 pacientes, 35 hombres y 76 mujeres; la media de edad fue de 76 años. La media del MMSE fue de 12 puntos, y se relacionó con las dimensiones de función física, rol físico y el sumatorio de la salud física. La media de la FV fue de 5,1 animales, y se relacionó de forma significativa con las mismas dimensiones, la función social, el sumatorio de salud física y el sumatorio de salud mental. La media de la escala de deterioro global fue de 5 puntos y se relacionó con las mismas dimensiones que en la FV. Conclusiones. El deterioro cognitivo y la función en los pacientes con enfermedad de Alzheimer se relacionan con la mayoría de los aspectos de su calidad de vida (AU)


Objective. To evaluate quality of life in Alzheimer disease patients and its relationship with cognitive and functional status. Patients and methods. SF-36 health survey was perform to evaluate the quality of life in a sample of Alzheimer’s disease diagnosed cases, according to criteria established by the National Institute of Neurologic, Communicative Disorders and Stroke-Alzheimer’s Disease and Related Disorders Association. Crude items summation were calculated from 0 to 100 in 8 tests dimensions. Demographic and social aspects were collect. The status of the global deterioration scale, a verbal fluency test and the Folstein Minimental test were determinated. Statistical analysis were conducted by means of simple lineal regression study. Results. 111 cases were analysed, 35 man and 76 women, the mean age was 76 years. The MMSE scale mean were 12 points, correlated with physic function, physic roll and physic health summary. Verbal fluency test mean was 5.1 animals, correlated with the same dimensions general health and mental health summary. And the general deterioration scale mean was 5, correlated with the same dimensions than Verbal Fluency test. Conclusions. Cognitive impairment and global deterioration function are correlated with some aspects of quality of life scales (AU)


Subject(s)
Humans , Male , Female , Middle Aged , Alzheimer Disease/epidemiology , Alzheimer Disease/prevention & control , Quality of Life/psychology , Caregivers/organization & administration , Caregivers/psychology , Alzheimer Disease/psychology , Sickness Impact Profile , Cognitive Dissonance , Cognitive Behavioral Therapy/trends , Cognitive Science/methods , Regression Analysis
SELECTION OF CITATIONS
SEARCH DETAIL
...