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1.
Ther Innov Regul Sci ; 52(1): 62-69, 2018 01.
Article in English | MEDLINE | ID: mdl-29714608

ABSTRACT

The medical device industry is an industry dealing with multiple types of products covering a wide range of applications. As the safety and effectiveness of medical devices are vital to human health, the products must be managed by strict regulations according to the different risk levels. A total product life cycle regulatory system including product design, manufacture, premarket gate keeping, and postmarket monitoring is a common framework for medical device regulations. However, the variety and innovativeness of medical devices are challenging the current regulatory frameworks. Hence, the competent authorities responsible for medical devices worldwide keep renewing their regulatory systems to ensure the safety and effectiveness of medical devices. This review aims to provide an informative review of the regulatory frameworks of medical devices in the United States, Europe, Canada, and Taiwan, with a particular focus on updated regulatory changes in these countries and the current status of global harmonization on medical devices.


Subject(s)
Medical Device Legislation , Canada , Device Approval , Europe , Product Surveillance, Postmarketing , Quality Control , Taiwan , United States
2.
PLoS One ; 12(4): e0175143, 2017.
Article in English | MEDLINE | ID: mdl-28388630

ABSTRACT

OBJECTIVE: To describe and compare diffusion tensor imaging (DTI) parameters between patients with subcortical ischemic vascular disease (SIVD) and Alzheimer's disease (AD) diagnosed using structuralized neuropsychiatric assessments, and investigate potential neuronal substrates related to cognitive performance. METHODS: Thirty-five patients with SIVD, 40 patients with AD, and 33 cognitively normal control (NC) subjects matched by age and education level were consecutively recruited and underwent cognitive function assessments and DTI examinations. Comparisons among these three subgroups with regards to cognitive performance and DTI parameters including fractional anisotropy (FA) and mean diffusivity (MD) values were performed. Partial correlation analysis after controlling for age and education was used to evaluate associations between cognitive performance and DTI parameters. RESULTS: With regards to cognitive performance, the patients with SIVD had lower total scores in frontal assessment battery (FAB) compared to those with AD (p < 0.05) in the context of comparable Mini-Mental Status Examination and Cognitive Abilities Screening Instrument scores. With regards to DTI parameters, there were more regions of significant differences in FA among these three subgroups compared with MD. Compared with NC group, the patients with SIVD had significant global reductions in FA (p < 0.001 ~ 0.05), while significant reductions in FA among the patients with AD were regionally confined within the left superior longitudinal fasciculus, genu and splenium of the corpus callosum, and bilateral forceps major, and the anterior thalamic radiation, uncinate fasciculus, and cingulum of the left side (p < 0.01 ~ 0.05). Analysis of FA values within the left forceps major, left anterior thalamic radiation, and genu of the corpus callosum revealed a 71.8% overall correct classification (p < 0.001) with sensitivity of 69.4%, specificity of 73.8%, positive predictive value of 69.4%, and negative predictive value of 73.8% in discriminating patients with SIVD from those with AD. In combined analysis of the patients with SIVD and AD (n = 75), the total FAB score was positively correlated with FA within the bilateral forceps minor, genu of the corpus callosum, left forceps major, left uncinate fasciculus, and right inferior longitudinal fasciculus (p = 0.001 ~ 0.038), and inversely correlated with MD within the right superior longitudinal fasciculus, genu and body of the corpus callosum, bilateral forceps minor, right uncinate fasciculus, and right inferior longitudinal fasciculus (p = 0.003 ~ 0.040). CONCLUSIONS: Our findings suggest the effectiveness of DTI measurements in distinguishing patients with early-stage AD from those with SIVD, with discernible changes in spatial distribution and magnitude of significance of the DTI parameters. Strategic FA assessments provided the most robust discriminative power to differentiate SIVD from AD, and FAB may serve as an additional cognitive marker. We also identified the neuronal substrates responsible for FAB performance.


Subject(s)
Aging/physiology , Alzheimer Disease/diagnostic imaging , Brain Ischemia/diagnostic imaging , Diffusion Tensor Imaging/methods , Aged , Aged, 80 and over , Alzheimer Disease/psychology , Brain/diagnostic imaging , Brain Ischemia/psychology , Case-Control Studies , Cognition , Diagnosis, Differential , Female , Humans , Male , Middle Aged , Neuropsychological Tests
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