Journal Article DZNE-2023-00437

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Implications of quantitative susceptibility mapping at 7 Tesla MRI for microbleeds detection in cerebral small vessel disease.

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2023
Frontiers Research Foundation Lausanne

Frontiers in neurology 14, 1112312 () [10.3389/fneur.2023.1112312]

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Abstract: Cerebral microbleeds (MBs) are a hallmark of cerebral small vessel disease (CSVD) and can be found on T2*-weighted sequences on MRI. Quantitative susceptibility mapping (QSM) is a postprocessing method that also enables MBs identification and furthermore allows to differentiate them from calcifications.We explored the implications of using QSM at submillimeter resolution for MBs detection in CSVD.Both 3 and 7 Tesla (T) MRI were performed in elderly participants without MBs and patients with CSVD. MBs were quantified on T2*-weighted imaging and QSM. Differences in the number of MBs were assessed, and subjects were classified in CSVD subgroups or controls both on 3T T2*-weighted imaging and 7T QSM.48 participants [mean age (SD) 70.9 (8.8) years, 48% females] were included: 31 were healthy controls, 6 probable cerebral amyloid angiopathy (CAA), 9 mixed CSVD, and 2 were hypertensive arteriopathy [HA] patients. After accounting for the higher number of MBs detected at 7T QSM (Median = Mdn; Mdn7T-QSM = 2.5; Mdn3T-T2 = 0; z = 4.90; p < 0.001) and false positive MBs (6.1% calcifications), most healthy controls (80.6%) demonstrated at least one MB and more MBs were discovered in the CSVD group.Our observations suggest that QSM at submillimeter resolution improves the detection of MBs in the elderly human brain. A higher prevalence of MBs than so far known in healthy elderly was revealed.

Keyword(s): 7 Tesla MRI ; cerebral amyloid angiopathy (CAA) ; cerebral small vessel disease (CSVD) ; hypertensive arteriopathy (HA) ; microbleeds ; quantitative susceptibility mapping (QSM)

Classification:

Contributing Institute(s):
  1. Mixed Cerebral Pathologies and Cognitive Aging (AG Schreiber)
  2. Clinical Neurophysiology and Memory (AG Düzel 3 ; AG Düzel ; AG Düzel)
  3. Pathophysiology of Dementia (AG Reymann)
Research Program(s):
  1. 353 - Clinical and Health Care Research (POF4-353) (POF4-353)
  2. 352 - Disease Mechanisms (POF4-352) (POF4-352)

Appears in the scientific report 2023
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Medline ; Creative Commons Attribution CC BY 4.0 ; DOAJ ; OpenAccess ; Article Processing Charges ; Clarivate Analytics Master Journal List ; DOAJ Seal ; Essential Science Indicators ; Fees ; IF < 5 ; JCR ; PubMed Central ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection
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Document types > Articles > Journal Article
Institute Collections > MD DZNE > MD DZNE-AG Schreiber
Institute Collections > MD DZNE > MD DZNE-AG Reymann
Institute Collections > MD DZNE > MD DZNE-AG Düzel
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 Record created 2023-04-14, last modified 2024-03-09


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