A novel CT-based automated analysis method provides comparable results with MRI in measuring brain atrophy and white matter lesions
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Published:2021-08-14
Issue:12
Volume:63
Page:2035-2046
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ISSN:0028-3940
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Container-title:Neuroradiology
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language:en
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Short-container-title:Neuroradiology
Author:
Kaipainen Aku LORCID, Pitkänen Johanna, Haapalinna Fanni, Jääskeläinen Olli, Jokinen Hanna, Melkas Susanna, Erkinjuntti Timo, Vanninen Ritva, Koivisto Anne M, Lötjönen Jyrki, Koikkalainen Juha, Herukka Sanna-Kaisa, Julkunen Valtteri
Abstract
Abstract
Purpose
Automated analysis of neuroimaging data is commonly based on magnetic resonance imaging (MRI), but sometimes the availability is limited or a patient might have contradictions to MRI. Therefore, automated analyses of computed tomography (CT) images would be beneficial.
Methods
We developed an automated method to evaluate medial temporal lobe atrophy (MTA), global cortical atrophy (GCA), and the severity of white matter lesions (WMLs) from a CT scan and compared the results to those obtained from MRI in a cohort of 214 subjects gathered from Kuopio and Helsinki University Hospital registers from 2005 - 2016.
Results
The correlation coefficients of computational measures between CT and MRI were 0.9 (MTA), 0.82 (GCA), and 0.86 (Fazekas). CT-based measures were identical to MRI-based measures in 60% (MTA), 62% (GCA) and 60% (Fazekas) of cases when the measures were rounded to the nearest full grade variable. However, the difference in measures was 1 or less in 97–98% of cases. Similar results were obtained for cortical atrophy ratings, especially in the frontal and temporal lobes, when assessing the brain lobes separately. Bland–Altman plots and weighted kappa values demonstrated high agreement regarding measures based on CT and MRI.
Conclusions
MTA, GCA, and Fazekas grades can also be assessed reliably from a CT scan with our method. Even though the measures obtained with the different imaging modalities were not identical in a relatively extensive cohort, the differences were minor. This expands the possibility of using this automated analysis method when MRI is inaccessible or contraindicated.
Funder
Kuopion Yliopistollinen Sairaala Suomen Lääketieteen Säätiö Pohjois-Savon Rahasto Orionin Tutkimussäätiö Maire Taposen Säätiö Suomen Aivosäätiö Paulon Säätiö Helsingin ja Uudenmaan Sairaanhoitopiiri University of Eastern Finland (UEF) including Kuopio University Hospital
Publisher
Springer Science and Business Media LLC
Subject
Cardiology and Cardiovascular Medicine,Clinical Neurology,Radiology Nuclear Medicine and imaging
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