کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4226531 1609818 2010 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Relative cerebral blood volume measurements of low-grade gliomas predict patient outcome in a multi-institution setting
موضوعات مرتبط
علوم پزشکی و سلامت پزشکی و دندانپزشکی رادیولوژی و تصویربرداری
پیش نمایش صفحه اول مقاله
Relative cerebral blood volume measurements of low-grade gliomas predict patient outcome in a multi-institution setting
چکیده انگلیسی

Background/purposeThe prognostic value of defining subcategories of gliomas is still controversial. This study aims to determine the utility of relative cerebral blood volume (rCBV) in predicting clinical response in patients with low-grade glioma at multiple institutions.Materials and methodsSixty-nine patients were studied with dynamic susceptibility contrast-enhanced perfusion MRI at two institutions. The pathologic diagnoses of the low-grade gliomas were 34 astrocytomas, 20 oligodendroglioma, 9 oligoastrocytomas, 1 ganglioglioma and 5 with indeterminate histology.Wilcoxon tests were used to compare patients in different response categories with respect to baseline rCBV. Kaplan–Meier curve and log-rank tests were used to predict the association of rCBV with time to progression.ResultsAt both institutions, patients with an adverse event (progressive disease or death) had a significantly higher baseline rCBV than those without (complete response or stable disease) (p value = 0.0138).The odds ratio for detecting an adverse event when using rCBV was 1.87 (95% confidence interval: 1.14–3.08). rCBV was significantly negatively associated with time to progression (p = 0.005). The median time to progression among subjects with rCBV > 1.75 was 365 days, while there was 95% confidence that the median time to progression was at least 889 days among subjects with rCBV < 1.75.ConclusionOur study suggests not only that rCBV measurements correlate well with time to progression or death, but also that the findings can be replicated across institutions, which supports the application of rCBV as an adjunct to pathology in predicting glioma biology.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: European Journal of Radiology - Volume 73, Issue 2, February 2010, Pages 215–220
نویسندگان
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