M P Laakso1, N M Jukarainen2, J Vepsäläinen2. 1. Department of Neurology, Kuopio University Hospital, Kuopio, Finland The Vanha Vaasa Hospital, Vaasa, Finland The Niuvanniemi Hospital, Kuopio, Finland. 2. The School of Pharmacy, Biocenter Kuopio, University of Eastern Finland, Kuopio, Finland.
Abstract
OBJECTIVE: To test whether the information obtained from cerebrospinal fluid (CSF) and analysed with high-field proton ((1)H) MR spectroscopy (MRS) would help the diagnosis of most common forms of dementia. SETTING: A total of 31 metabolites from CSF from 222 controls and patients suffering from various dementias (Alzheimer's disease (AD), vascular dementia, Lewy body disease (LBD) and frontotemporal dementia (FTD)) were quantified using (1)H MRS. MAIN OUTCOME MEASURE: Clinical diagnosis. RESULTS: AD was classified with an accuracy of 85.5%. For a group of very early stage patients with AD, the result was significantly higher, 92.3%. Vascular dementia, LBD and FTD were all diagnosed with 100% accuracy in controls and from AD with an accuracy ranging between 85.5% and 93.4%. CONCLUSIONS: The results indicate that the composition of CSF contains enough information of the neurological state of a given patient with a given dementia to be diagnosed with extremely high accuracy. This approach might provide potentially a very powerful diagnostic tool to help the diagnostic process of dementias. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/
OBJECTIVE: To test whether the information obtained from cerebrospinal fluid (CSF) and analysed with high-field proton ((1)H) MR spectroscopy (MRS) would help the diagnosis of most common forms of dementia. SETTING: A total of 31 metabolites from CSF from 222 controls and patients suffering from various dementias (Alzheimer's disease (AD), vascular dementia, Lewy body disease (LBD) and frontotemporal dementia (FTD)) were quantified using (1)H MRS. MAIN OUTCOME MEASURE: Clinical diagnosis. RESULTS:AD was classified with an accuracy of 85.5%. For a group of very early stage patients with AD, the result was significantly higher, 92.3%. Vascular dementia, LBD and FTD were all diagnosed with 100% accuracy in controls and from AD with an accuracy ranging between 85.5% and 93.4%. CONCLUSIONS: The results indicate that the composition of CSF contains enough information of the neurological state of a given patient with a given dementia to be diagnosed with extremely high accuracy. This approach might provide potentially a very powerful diagnostic tool to help the diagnostic process of dementias. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/
Authors: Alexander G Murley; P Simon Jones; Ian Coyle Gilchrist; Lucy Bowns; Julie Wiggins; Kamen A Tsvetanov; James B Rowe Journal: J Neurol Date: 2020-04-10 Impact factor: 4.849