Remote brain microhaemorrhages may predict haematoma in glioma patients treated with radiation therapy View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-04-12

AUTHORS

Augustin Lecler, Frédérique Charbonneau, Dimitri Psimaras, Marie-Astrid Metten, Antoine Gueguen, Khe Hoang Xuan, Loic Feuvret, Julien Savatovsky

ABSTRACT

ObjectivesTo evaluate the prevalence of cerebral remote microhaemorrhages (RMH) and remote haematomas (RH) using magnetic resonance susceptibility-weighted imaging (SWI) among patients treated for gliomas during follow-up.MethodsWe conducted a retrospective single centre longitudinal study on 58 consecutive patients treated for gliomas from January 2009 through December 2010. Our institutional review board approved this study. We evaluated the presence and number of RMH and RH found outside the brain tumour on follow-up MR imaging. We performed univariate and bivariate analyses to identify predictors for RMH and RH and Kaplan–Meier survival analysis techniques.ResultsTwenty-five (43%) and four patients (7%) developed at least one RMH or RH, respectively, during follow-up. The risk was significantly higher for patients who received radiation therapy (49% and 8% versus 0%) (p = 0.02). The risk of developing RH was significantly higher in patients with at least one RMH and a high burden of RMH. The mean age of those presenting with at least one RMH or RH was significantly lower.ConclusionsRMH were common in adult survivors of gliomas who received radiation therapy and may predict the onset of RH during follow-up, mainly in younger patients.Key Points• Brain RMH and RH are significantly more likely to occur after RT.• RMH occur in almost half of the patients treated with RT.• RMH and RH are significantly more frequent in younger patients.• RH occur only in patients with RMH. More... »

PAGES

4324-4333

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00330-018-5356-8

DOI

http://dx.doi.org/10.1007/s00330-018-5356-8

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1103239111

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/29651771


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