Quantitative susceptibility mapping in cerebral cavernous malformations: Clinical correlations
American Journal of Neuroradiology, ISSN: 1936-959X, Vol: 37, Issue: 7, Page: 1209-1215
2016
- 31Citations
- 38Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Metrics Details
- Citations31
- Citation Indexes31
- 31
- CrossRef6
- Captures38
- Readers38
- 38
Article Description
BACKGROUND AND PURPOSE: Quantitative susceptibility mapping has been shown to assess iron content in cerebral cavernous malformations. In this study, our aim was to correlate lesional iron deposition assessed by quantitative susceptibility mapping with clinical and disease features in patients with cerebral cavernous malformations. MATERIALS AND METHODS: Patients underwent routine clinical scans in addition to quantitative susceptibility mapping on 3T systems. Data from 105 patients met the inclusion criteria. Cerebral cavernous malformation lesions identified on susceptibility maps were crossverified by T2-weighted images and differentiated on the basis of prior overt hemorrhage. Mean susceptibility per cerebral cavernous malformation lesion (=lesion) was measured to correlate with lesion volume, age at scanning, and hemorrhagic history. Temporal rates of change in lesion were evaluated in 33 patients. RESULTS: Average lesion per patient was positively correlated with patient age at scanning (P<.05, 4.1% change with each decade of life). Cerebral cavernous malformation lesions with prior overt hemorrhages exhibited higher lesion than those without (P < .05). Changes in lesion during 3-to 15-month follow-up were small in patients without new hemorrhage between the 2 scans (bias 0.0003; 95% CI, 0.06-0.06). CONCLUSIONS: The study revealed a positive correlation between mean quantitative susceptibility mapping signal and patient age in cerebral cavernous malformation lesions, higher mean quantitative susceptibility mapping signal in hemorrhagic lesions, and minimum longitudinal quantitative susceptibility mapping signal change in clinically stable lesions. Quantitative susceptibility mapping has the potential to be a novel imaging biomarker supplementing conventional imaging in cerebral cavernous malformations. The clinical significance of such measures merits further study.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84978468848&origin=inward; http://dx.doi.org/10.3174/ajnr.a4724; http://www.ncbi.nlm.nih.gov/pubmed/26965464; http://www.ajnr.org/cgi/doi/10.3174/ajnr.A4724; https://syndication.highwire.org/content/doi/10.3174/ajnr.A4724; https://dx.doi.org/10.3174/ajnr.a4724; https://www.ajnr.org/content/37/7/1209
American Society of Neuroradiology (ASNR)
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