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Rigshospitalet - en del af Københavns Universitetshospital
Udgivet

Automatic MRI Quantifying Methods in Behavioral-Variant Frontotemporal Dementia Diagnosis

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

DOI

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  • Antti Cajanus
  • Anette Hall
  • Juha Koikkalainen
  • Eino Solje
  • Antti Tolonen
  • Timo Urhemaa
  • Yawu Liu
  • Ramona M Haanpää
  • Päivi Hartikainen
  • Seppo Helisalmi
  • Ville Korhonen
  • Daniel Rueckert
  • Steen Hasselbalch
  • Gunhild Waldemar
  • Patrizia Mecocci
  • Ritva Vanninen
  • Mark van Gils
  • Hilkka Soininen
  • Jyrki Lötjönen
  • Anne M Remes
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Aims: We assessed the value of automated MRI quantification methods in the differential diagnosis of behavioral-variant frontotemporal dementia (bvFTD) from Alzheimer disease (AD), Lewy body dementia (LBD), and subjective memory complaints (SMC). We also examined the role of the C9ORF72-related genetic status in the differentiation sensitivity.

Methods: The MRI scans of 50 patients with bvFTD (17 C9ORF72 expansion carriers) were analyzed using 6 quantification methods as follows: voxel-based morphometry (VBM), tensor-based morphometry, volumetry (VOL), manifold learning, grading, and white-matter hyperintensities. Each patient was then individually compared to an independent reference group in order to attain diagnostic suggestions.

Results: Only VBM and VOL showed utility in correctly identifying bvFTD from our set of data. The overall classification sensitivity of bvFTD with VOL + VBM achieved a total sensitivity of 60%. Using VOL + VBM, 32% were misclassified as having LBD. There was a trend of higher values for classification sensitivity of the C9ORF72 expansion carriers than noncarriers.

Conclusion: VOL, VBM, and their combination are effective in differential diagnostics between bvFTD and AD or SMC. However, MRI atrophy profiles for bvFTD and LBD are too similar for a reliable differentiation with the quantification methods tested in this study.

OriginalsprogEngelsk
TidsskriftDementia and Geriatric Cognitive Disorders Extra
Vol/bind8
Udgave nummer1
Sider (fra-til)51-59
Antal sider9
ISSN1664-5464
DOI
StatusUdgivet - 3 apr. 2018

ID: 53673582