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- Maier, O., et al.
(author)
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ISLES 2015-A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI
- 2017
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In: Medical Image Analysis. - : Elsevier BV. - 1361-8415 .- 1361-8423. ; 35, s. 250-269
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Journal article (peer-reviewed)abstract
- Ischemic stroke is the most common cerebrovascular disease, and its diagnosis, treatment, and study relies on non-invasive imaging. Algorithms for stroke lesion segmentation from magnetic resonance imaging (MRI) volumes are intensely researched, but the reported results are largely incomparable due to different datasets and evaluation schemes. We approached this urgent problem of comparability with the Ischemic Stroke Lesion Segmentation (ISLES) challenge organized in conjunction with the MICCAI 2015 conference. In this paper we propose a common evaluation framework, describe the publicly available datasets, and present the results of the two sub-challenges: Sub-Acute Stroke Lesion Segmentation (SISS) and Stroke Perfusion Estimation (SPES). A total of 16 research groups participated with a wide range of state-of-the-art automatic segmentation algorithms. A thorough analysis of the obtained data enables a critical evaluation of the current state-of-the-art, recommendations for further developments, and the identification of remaining challenges. The segmentation of acute perfusion lesions addressed in SPES was found to be feasible. However, algorithms applied to sub-acute lesion segmentation in SISS still lack accuracy. Overall, no algorithmic characteristic of any method was found to perform superior to the others. Instead, the characteristics of stroke lesion appearances, their evolution, and the observed challenges should be studied in detail. The annotated ISLES image datasets continue to be publicly available through an online evaluation system to serve as an ongoing benchmarking resource (www.isles-challenge.org).
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- Eggink, E, et al.
(author)
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Prevention of dementia using mobile phone applications (PRODEMOS): protocol for an international randomised controlled trial
- 2021
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In: BMJ open. - : BMJ. - 2044-6055. ; 11:6, s. e049762-
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Journal article (peer-reviewed)abstract
- Profiles of high risk for future dementia are well understood and are likely to concern mostly those in low-income and middle-income countries and people at greater disadvantage in high-income countries. Approximately 30%–40% of dementia cases have been estimated to be attributed to modifiable risk factors, including hypertension, smoking and sedentary lifestyle. Tailored interventions targeting these risk factors can potentially prevent or delay the onset of dementia. Mobile health (mHealth) improves accessibility of such prevention strategies in hard-to-reach populations while at the same time tailoring such approaches. In the current study, we will investigate the effectiveness and implementation of a coach-supported mHealth intervention, targeting dementia risk factors, to reduce dementia risk.Methods and analysisThe prevention of dementia using mobile phone applications (PRODEMOS) randomised controlled trial will follow an effectiveness–implementation hybrid design, taking place in the UK and China. People are eligible if they are 55–75 years old, of low socioeconomic status (UK) or from the general population (China); have ≥2 dementia risk factors; and own a smartphone. 2400 participants will be randomised to either a coach-supported, interactive mHealth platform, facilitating self-management of dementia risk factors, or a static control platform. The intervention and follow-up period will be 18 months. The primary effectiveness outcome is change in the previously validated Cardiovascular Risk Factors, Ageing and Incidence of Dementia dementia risk score. The main secondary outcomes include improvement of individual risk factors and cost-effectiveness. Implementation outcomes include acceptability, adoption, feasibility and sustainability of the intervention.Ethics and disseminationThe PRODEMOS trial is sponsored in the UK by the University of Cambridge and is granted ethical approval by the London—Brighton and Sussex Research Ethics Committee (reference: 20/LO/01440). In China, the trial is approved by the medical ethics committees of Capital Medical University, Beijing Tiantan Hospital, Beijing Geriatric Hospital, Chinese People’s Liberation Army General Hospital, Taishan Medical University and Xuanwu Hospital. Results will be published in a peer-reviewed journal.Trial registration numberISRCTN15986016.
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| 4. |
- Goncalves-Pereira, M, et al.
(author)
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[Needs for Care and Service Use in Dementia: Baseline Assessment of Portuguese Participants in the Actifcare Cohort Study]
- 2019
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In: Acta medica portuguesa. - : Ordem dos Medicos. - 1646-0758 .- 0870-399X. ; 32:5, s. 355-367
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Journal article (peer-reviewed)abstract
- Introdução: As pessoas com demência e os seus familiares deveriam ter acesso atempado a cuidados formais na comunidade (centros de dia, apoio domiciliário). O projecto EU-Actifcare investigou o acesso/utilização destes serviços em países europeus. Descrevemos a implementação do estudo de coorte e a avaliação inicial em Portugal, com foco nas necessidades de cuidados e recurso aos serviços.Material e Métodos: Selecionámos uma amostra de conveniência de 66 pessoas com diagnóstico de demência ligeira a moderada (residindo na comunidade sem cuidados formais relevantes) e respetivos familiares-cuidadores. A avaliação (clínico-funcional e social) incluiu os instrumentos Camberwell Assessment of Need for the Elderly e Resource Utilization in Dementia.Resultados: Identificámos necessidades não-cobertas dos doentes (média 1,1; DP = 1,7), principalmente de companhia (23% dos casos), sofrimento psicológico (20%) e atividades diárias (14%). Os familiares-cuidadores dedicavam 150 minutos/dia (mediana) à prestação de cuidados e 44% apresentavam necessidades não-cobertas de sofrimento psicológico. Quando havia problemas de acesso/utilização dos serviços de saúde e sociais na comunidade, estes estavam frequentemente relacionados com recusa ou desconhecimento de utentes/familiares.Discussão: A seleção dos participantes não foi fácil, pela especificidade dos critérios adotados. Não almejando representatividade nacional, recrutámos uma amostra típica de pessoas em estádios ligeiros a moderados de demência, em serviços e regiões diferentes. Nalguns casos, encontrámos necessidades não-cobertas e repercussões familiares que já justificariam respostas de serviços na comunidade, não fossem os problemas de acesso/utilização.Conclusão: Na área das demências, existem dificuldades no acesso atempado e utilização efectiva de cuidados formais, coexistindo com uma cobertura menor de necessidades específicas.
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- Vos, S., et al.
(author)
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Test sequence of CSF and MRI biomarkers for prediction of AD in subjects with MCI
- 2012
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In: Neurobiology of Aging. - : Elsevier BV. - 0197-4580 .- 1558-1497. ; 33:10, s. 2272-2281
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Journal article (peer-reviewed)abstract
- Our aim was to identify the best diagnostic test sequence for predicting Alzheimer's disease (AD)-type dementia in subjects with mild cognitive impairment (MCI) using cerebrospinal fluid (CSF) and magnetic resonance imaging (MRI) biomarkers. We selected 153 subjects with mild cognitive impairment from a multicenter memory clinic-based cohort. We tested the CSF beta amyloid (A beta)1-42/tau ratio using enzyme-linked immunosorbent assay (ELISA) and hippocampal volumes (HCVs) using the atlas-based learning embeddings for atlas propagation (LEAP) method. Outcome measure was progression to AD-type dementia in 2 years. At follow-up, 48 (31%) subjects converted to AD-type dementia. In multivariable analyses, CSF A beta 1-42/tau and HCV predicted AD-type dementia regardless of apolipoprotein E (APOE) genotype and cognitive scores. Test sequence analyses showed that CSF A beta 1-42/tau increased predictive accuracy in subjects with normal HCV (p < 0.001) and abnormal HCV (p = 0.025). HCV increased predictive accuracy only in subjects with normal CSF A beta 1-42/tau (p = 0.014). Slope analyses for annual cognitive decline yielded similar results. For selection of subjects for a prodromal AD trial, the best balance between sample size and number of subjects needed to screen was obtained with CSF markers. These results provide further support for the use of CSF and magnetic resonance imaging biomarkers to identify prodromal AD. (c) 2012 Elsevier Inc. All rights reserved.
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| 9. |
- Handels, Ron L. H., et al.
(author)
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Natural Progression Model of Cognition and Physical Functioning among People with Mild Cognitive Impairment and Alzheimer's Disease
- 2013
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In: Journal of Alzheimer's Disease. - 1387-2877 .- 1875-8908. ; 37:2, s. 357-365
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Journal article (peer-reviewed)abstract
- Background: Empirical models of the natural history of Alzheimer's disease (AD) may help to evaluate new interventions for AD. Objective: We aimed to estimate AD-free survival time in people with mild cognitive impairment (MCI) and decline of cognitive and physical function in AD cases. Methods: Within the Kungsholmen project, 153 incident MCI and 323 incident AD cases (international criteria) were identified during 9 years of follow-up in a cognitively healthy cohort of elderly people aged >= 75 at baseline (n = 1,082). Global cognitive function was assessed with the Mini-Mental State Examination (MMSE), and daily life function was evaluated with the Katz index of activities of daily living (ADL) at each follow-up examination. Data were analyzed using parametric survival analysis and mixed effect models. Results: Median AD-free survival time of 153 participants with incident MCI was 3.5 years. Among 323 incident AD cases, the cognitive decline was 1.84 MMSE points per year, which was significantly associated with age. Physical functioning declined by 0.38 ADL points per year and was significantly associated with age, education, and MMSE, but not with gender. Conclusion: Elderly people with MCI may develop AD in approximately 3.5 years. Both cognitive and physical function may decline gradually after AD onset. The empirical models can be used to evaluate long-term disease progression of new interventions for AD.
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| 10. |
- Handels, Ron L. H., et al.
(author)
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Predicting progression to dementia in persons with mild cognitive impairment using cerebrospinal fluid markers
- 2017
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In: Alzheimer's & Dementia. - : Elsevier. - 1552-5260 .- 1552-5279. ; 13:8, s. 903-912
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Journal article (peer-reviewed)abstract
- INTRODUCTION: We aimed to determine the added value of cerebrospinal fluid (CSF) to clinical and imaging tests to predict progression from mild cognitive impairment (MCI) to any type of dementia.METHODS: The risk of progression to dementia was estimated using two logistic regression models based on 250 MCI participants: the first included standard clinical measures (demographic, clinical, and imaging test information) without CSF biomarkers, and the second included standard clinical measures with CSF biomarkers.RESULTS: Adding CSF improved predictive accuracy with 0.11 (scale from 0-1). Of all participants, 136 (54%) had a change in risk score of 0.10 or higher (which was considered clinically relevant), of whom in 101, it was in agreement with their dementia status at follow-up.DISCUSSION: An individual person's risk of progression from MCI to dementia can be improved by relying on CSF biomarkers in addition to recommended clinical and imaging tests for usual care.
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