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Strukturell hjärnavbildning kan förbättra diagnostiken vid demens
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2013 (Swedish)In: Läkartidningen, ISSN 0023-7205, E-ISSN 1652-7518, Vol. 110, no CEY4Article in journal (Refereed) Published
Abstract [sv]

Ökad kunskap om demenssjukdomar leder till att de diagnostiska kriterierna förändras. Diagnostiken kan förbättras med hjälp av hjärnavbildningsfynd.

Med datortomografi (DT) och magnetisk resonanstomografi (MRT) kan medial temporallobsatrofi, global cerebral atrofi och förändringar i vit substans visualiseras och kvantifieras.

För att ge optimal information om dessa förändringar krävs ett strukturerat radiologiskt DT-/MR-utlåtande. 

Imaging Cognitive Impairment Network (ICINET) har som huvudmål att föreslå ett standardiserat MRT-protokoll och kliniska utvärderingsverktyg (visuella skattningsskalor för MRT och DT).

Abstract [en]

New guidelines on care in dementia from the Swedish National Board of Health and Welfare emphasize that brain imaging should be included in the standard diagnostic evaluation. Evidence supports the importance of regional/global atrophy and white matter changes in dementia. However, the use of imaging in dementia evaluation is often sub-optimal, urging optimization of clinical imaging practice. Imaging Cognitive Impairment Network (ICINET) is a network between some of the largest Swedish and Norwegian university hospitals. The network’s aims are to standardize the radiological evaluation and reporting of structural MRI/CT and to propose a suitable MRI protocol, which has the potential to be harmonized across sites. The importance of efficient clinical imaging practice in dementia will continue to increase with increasing numbers of dementia investigations. To maximize the gain from clinical imaging assessments, an optimized MRI/CT protocol and a structured radiological assessment and report are required.

Place, publisher, year, edition, pages
2013. Vol. 110, no CEY4
National Category
Medical and Health Sciences
Identifiers
URN: urn:nbn:se:uu:diva-214199OAI: oai:DiVA.org:uu-214199DiVA: diva2:684517
Available from: 2014-01-08 Created: 2014-01-08 Last updated: 2017-12-06

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Larsson, Elna-Marie

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