Detection of Cerebral Microbleeds with Quantitative Susceptibility Mapping in the Arcabeta Mouse Model of Cerebral Amyloidosis
Open accessAbstract
Cerebral microbleeds (CMBs) are findings in patients with neurological disorders such as cerebral amyloid angiopathy and Alzheimer's disease, and are indicative of an underlying vascular pathology. A diagnosis of CMBs requires an imaging method that is capable of detecting iron-containing lesions with high sensitivity and spatial accuracy in the presence of potentially confounding tissue abnormalities. In this study, we investigated the feasibility of quantitative magnetic susceptibility mapping (QSM), a novel technique based on gradient-recalled echo (GRE) phase data, for the detection of CMBs in the arcAβ mouse, a mouse model of cerebral amyloidosis. Quantitative susceptibility maps were generated from phase data acquired with a high-resolution T(2)(*)-weighted GRE sequence at 9.4 T. We examined the influence of different regularization parameters on susceptibility computation; a proper adjustment of the regularization parameter minimizes streaking artifacts and preserves fine structures. In the present study, it is shown that QSM provides increased detection sensitivity of CMBs and improved contrast when compared with GRE magnitude imaging. Furthermore, QSM corrects for the blooming effect observed in magnitude and phase images and depicts both the localization and spatial extent of CMBs with high accuracy. Therefore, QSM may become an important tool for diagnosing CMBs in neurological diseases.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The ArcAβ model displays vascular pathology at a young age, leading in old animals to cerebral microbleeds, impaired vascular reactivity, and vascular remodeling.
“The ArcA model displays vascular pathology at a young age (Merlini et al., 2011) leading in old animals to cerebral microbleeds (Klohs et al., 2011), impaired vascular reactivity (Princz-Kranz et al., 2010), and vascular remodeling (Klohs et al., 2012).”
From Early Alterations in Functional Connectivity and White Matter Structure in a Transgenic Mouse Model of Cerebral Amyloidosis (2014) · cites this paper as Klohs et al., 2011
Cites
Cerebral microbleeds: a guide to detection and interpretation
Greenberg, S. M., Vernooij, M. W., Cordonnier, C., Viswanathan, A., Al-Shahi Salman, R., Warach, S., Launer, L. J., Van Buchem, M. A., & Breteler, M. M. (2009) · The Lancet Neurology · doi:10.1016/s1474-4422(09)70013-4 · Cited by 1,798 · see citing works
Intracellular Aβ and cognitive deficits precede β-amyloid deposition in transgenic arcAβ mice
Knobloch, M., Konietzko, U., Krebs, D. C., & Nitsch, R. M. (2007) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2006.06.019 · Cited by 259 · see citing works
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
Blood-Brain Barrier: From Physiology to Disease and Back
Sweeney, M. D., Zhao, Z., Montagne, A., Nelson, A. R., & Zlokovic, B. V. (2019) · Physiological Reviews · doi:10.1152/physrev.00050.2017 · Cited by 2,294 · see citing works
Alzheimer’s disease: A matter of blood–brain barrier dysfunction?
Montagne, A., Zhao, Z., & Zlokovic, B. V. (2017) · Journal of Experimental Medicine · doi:10.1084/jem.20171406 · Cited by 672 · see citing works
Deistung, A., Schäfer, A., Schweser, F., Biedermann, U., Turner, R., & Reichenbach, J. R. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2012.09.055 · Cited by 442 · see citing works
Self-citationImaging of cerebrovascular pathology in animal models of Alzheimer's disease
Klohs, J., Rudin, M., Shimshek, D. R., & Beckmann, N. (2014) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2014.00032 · Cited by 82 · see citing works
Self-citationGrandjean, J., Schroeter, A., He, P., Tanadini, M., Keist, R., Krstic, D., Konietzko, U., Klohs, J., Nitsch, R. M., & Rudin, M. (2014) · The Journal of Neuroscience · doi:10.1523/jneurosci.4762-13.2014 · Cited by 70 · see citing works
“, 2011) leading in old animals to cerebral microbleeds (Klohs et al., 2011), impaired vascular reactivity (Princz-Kranz et al.”
BackgroundSelf-citationSWI and phase imaging reveal intracranial calcifications in the P301L mouse model of human tauopathy
Ni, R., Zarb, Y., Kuhn, G. A., Müller, R., Yundung, Y., Nitsch, R. M., Kulic, L., Keller, A., & Klohs, J. (2020) · Magnetic Resonance Materials in Physics, Biology and Medicine · doi:10.1007/s10334-020-00855-3 · Cited by 24 · see citing works
Self-citation
- Authors
- Klohs, J., Deistung, A., Schweser, F., Grandjean, J., Dominietto, M., Waschkies, C., Nitsch, R. M., Knuesel, I., Reichenbach, J. R., & Rudin, M.
- Affiliations
- University of Zurich (CH)
- Jena University Hospital (DE)
- Institute of Pharmacology and Toxicology, University of Zurich, Zurich, Switzerland
- Corresponding author
- Klohs, Jan
- Rudin, Markus
- ORCID
- Venue
- Journal of Cerebral Blood Flow & Metabolism
- Publisher
- SAGE Publications
- Published
- 2011-08-17
- Volume
- 31
- Issue
- 12
- Pages
- 2282-2292
- ISSN
- 0271-678X (ISSN-L)
- 1559-7016
- PMC
- PMC3323188
- OpenAlex
- W2055004096
- Cited by
- 83
- References
- 2
- Citations by year
- 2026: 3 · 2025: 1 · 2024: 3 · 2023: 4 · 2022: 12 · 2021: 4 · 2020: 8 · 2019: 6 · 2018: 6 · 2017: 7 · 2016: 6 · 2015: 6 · 2014: 6 · 2013: 6 · 2012: 5
- FWCI
- 4.16
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Cerebral Blood Flow & Metabolism (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Universitätsbibliographie, Universität Duisburg-Essen (submittedVersion)
- Zurich Open Repository and Archive (University of Zurich) (submittedVersion)
- Funders
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (112835, 310030)
- Chinese Academy of Agricultural Sciences
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Health Sciences › Medicine › Neurology › Intracerebral and Subarachnoid Hemorrhage Research
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Keywords
- cerebral microbleeds, quantitative susceptibility mapping, cerebral amyloidosis, cerebral amyloid angiopathy, regularization parameter, streak artifacts, blooming effect, T2-weighted imaging, Alzheimer's disease
- MeSH terms
- Algorithms, Amyloid, Animals, Brain Mapping, Cerebral Hemorrhage, Data Interpretation, Statistical, Humans, Image Processing, Computer-Assisted, Immunohistochemistry, Magnetic Resonance Imaging, Mice, Inbred C57BL, Mice, Transgenic, Cerebral Amyloid Angiopathy, Anatomy, Cross-Sectional, Mice
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
