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Development and Usability of ADappt: Web-Based Tool to Support Clinicians, Patients, and Caregivers in the Diagnosis of Mild Cognitive Impairment and Alzheimer Disease

Ingrid S van Maurik, Leonie NC Visser, Ruth E Pel-Littel, Marieke M van Buchem, Marissa D Zwan, Marleen Kunneman, Wiesje Pelkmans, Femke H Bouwman, Mirella Minkman, Niki Schoonenboom, Philip Scheltens, Ellen MA Smets, Wiesje M van der Flier

JMIR Form Res 2019;3(3):e13417

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Symptomatic Treatment of Vascular Cognitive Impairment (STREAM-VCI): Protocol for a Cross-Over Trial

Jolien Fleur Fleur Leijenaar, Geert Jan Groeneveld, Wiesje Maria van der Flier, Philip Scheltens, Erica Surya Klaassen, Henry Chanoch Weinstein, Geert Jan Biessels, Frederik Barkhof, Niels Daniël Prins

JMIR Res Protoc 2018;7(3):e80

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Vascular Cognitive Impairment in a Memory Clinic Population: Rationale and Design of the “Utrecht-Amsterdam Clinical Features and Prognosis in Vascular Cognitive Impairment” (TRACE-VCI) Study

Brain MRI acquisition in the study population (N=861). a1.5 Tesla GE Medical Systems Signa Excite, n=1 (0.1%); 1.5 Tesla Philips Medical Systems Achieva, n=2 (0.2%); 1.5 Tesla Philip Medical Systems Intera, n=1 (0.1%); 1.5 Tesla Sonata Siemens, n=2 (0.2%). Brain MRI scans were performed on a 3.0 Tesla (94.1%, 810/861) or 1.5 Tesla MRI scanner (5.9%, 51/861). Most scans were performed on a GE (72.0%, 620/861) or Philips (27.8%, 239/861) MRI scanner (Table 5).

Jooske Marije Funke Geertje Boomsma, Lieza Geertje Exalto, Frederik Barkhof, Esther van den Berg, Jeroen de Bresser, Rutger Heinen, Huiberdina Lena Koek, Niels Daniël Prins, Philip Scheltens, Henry Chanoch Weinstein, Wiesje Maria van der Flier, Geert Jan Biessels

JMIR Res Protoc 2017;6(4):e60

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