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Machine Learning an...
Machine Learning and Multiparametric Brain MRI to Differentiate Hereditary Diffuse Leukodystrophy with Spheroids from Multiple Sclerosis
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- Mangeat, G. (författare)
- NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, Quebec, Canada
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- Ouellette, R. (författare)
- Karolinska Institutet
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- Wabartha, M. (författare)
- NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, Quebec, Canada
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- De Leener, B. (författare)
- Department of Computer Sciences and Software Engineering, Polytechnique Montreal, Montreal, Quebec, Canada
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- Plattén, Michael (författare)
- Karolinska Institutet,KTH,Skolan för kemi, bioteknologi och hälsa (CBH),Karolinska Inst, Dept Clin Neurosci; Karolinska Univ Hosp,Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden; Department of Neuroradiology, Karolinska University Hospital, Stockholm, Sweden; School of Engineering Sciences in Chemistry, Biochemistry and Health, Royal Institute of Technology, Stockholm, Sweden
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- Karrenbauer, V. (författare)
- Karolinska Institutet
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- Warntjes, Marcel, 1973- (författare)
- Linköpings universitet,Avdelningen för diagnostik och specialistmedicin,Medicinska fakulteten,Centrum för medicinsk bildvetenskap och visualisering, CMIV,SyntheticMR, Linköping, Sweden
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- Stikov, N. (författare)
- NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, Quebec, Canada; Montreal Heart Institute, Montreal, Quebec, Canada
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- Mainero, C. (författare)
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, MGH, Charlestown, MA; Harvard Medical School, Boston, MA
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- Cohen-Adad, J. (författare)
- NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, Quebec, Canada; and Functional Neuroimaging Unit, CRIUGM, Université de Montréal, Montreal, Quebec, Canada
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- Granberg, T. (författare)
- Karolinska Institutet
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(creator_code:org_t)
- 2020-05-26
- 2020
- Engelska.
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Ingår i: Journal of Neuroimaging. - : Blackwell Publishing Inc.. - 1051-2284 .- 1552-6569. ; 30:5, s. 674-682
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- BACKGROUND AND PURPOSE: Hereditary diffuse leukoencephalopathy with spheroids (HDLS) and multiple sclerosis (MS) are demyelinating and neurodegenerative disorders that can be hard to distinguish clinically and radiologically. HDLS is a rare disorder compared to MS, which has led to occurrent misdiagnosis of HDLS as MS. That is problematic since their prognosis and treatment differ. Both disorders are investigated by MRI, which could help to identify patients with high probability of having HDLS, which could guide targeted genetic testing to confirm the HDLS diagnosis. METHODS: Here, we present a machine learning method based on quantitative MRI that can achieve a robust classification of HDLS versus MS. Four HDLS and 14 age-matched MS patients underwent a quantitative brain MRI protocol (synthetic MRI) at 3 Tesla (T) (scan time '7 minutes). We also performed a repeatability analysis of the predicting features to assess their generalizability by scanning a healthy control with five scan-rescans at 3T and 1.5T. RESULTS: Our predicting features were measured with an average confidence interval of 1.7% (P =.01), at 3T and 2.3% (P =.01) at 1.5T. The model gave a 100% correct classification of the cross-validation data when using 5-11 predicting features. When the maximum measurement noise was inserted in the model, the true positive rate of HDLS was 97.2%, while the true positive rate of MS was 99.6%. CONCLUSIONS: This study suggests that computer-assistance in combination with quantitative MRI may be helpful in aiding the challenging differential diagnosis of HDLS versus MS.
Ämnesord
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Neurologi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Neurology (hsv//eng)
Nyckelord
- Differential diagnosis
- hereditary diffuse leukoencephalopathy with spheroids
- multiple sclerosis
- quantitative MRI
- adult
- Article
- clinical article
- controlled study
- cross validation
- feature selection
- female
- genetic screening
- hereditary diffuse leukodystrophy
- human
- leave one out cross validation
- leukodystrophy
- machine learning
- male
- middle aged
- noise
- nuclear magnetic resonance imaging
- prospective study
- quantitative analysis
- volumetry
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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Till lärosätets databas
- Av författaren/redakt...
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Mangeat, G.
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Ouellette, R.
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Wabartha, M.
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De Leener, B.
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Plattén, Michael
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Karrenbauer, V.
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Warntjes, Marcel ...
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Stikov, N.
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Mainero, C.
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Cohen-Adad, J.
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Granberg, T.
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- Om ämnet
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- MEDICIN OCH HÄLSOVETENSKAP
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MEDICIN OCH HÄLS ...
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och Klinisk medicin
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och Neurologi
- Artiklar i publikationen
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Journal of Neuro ...
- Av lärosätet
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Kungliga Tekniska Högskolan
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Linköpings universitet
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Karolinska Institutet