Vascular distribution of glioblastoma multiforme at diagnosis.
Publication/Presentation Date
3-1-2013
Abstract
Treatment of high-grade gliomas with selective intra-arterial (IA) administration of chemotherapies has been proposed, and utilized as a therapeutic modality. This approach offers the conceptual benefit of providing maximal delivery of the agent to the tumor bed, while potentially reducing systemic exposure to the agent. This retrospective study was designed to determine the vascular distribution of glioblastoma multiforme (GBM) at the time of diagnosis in an effort to determine what proportion of patients would likely be candidates for this approach. The preoperative MRI scans of 50 patients with GBM were analyzed and compared to published normative data of intracranial vascular distribution. Vascular distribution was determined by analyzing post-gadolinium axial and coronal T1 images, axial T2 images, and axial T2 images with an additional 1 cm margin (T2 + 1 cm) added in all dimensions. T1 analysis demonstrated 60% of tumors in a single vascular distribution. T2 analysis of these tumors reduced that number to 34%. When the T2 + 1 cm margin was utilized, only 6% of tumors were in a single vascular distribution. 66% of tumors were limited to the anterior circulation on T1 imaging but only 34% on T2 + 1 cm imaging. 30% of tumors were also within the distribution of the anterior choroidal artery. These findings suggest that the use of selective IA administration of agents is necessarily limited to a fraction of presenting patients or will require administration via multiple cerebral arteries.
Volume
19
Issue
1
First Page
127
Last Page
131
ISSN
1591-0199
Published In/Presented At
Yohay, K., Wolf, D. S., Aronson, L. J., Duus, M., Melhem, E. R., & Cohen, K. J. (2013). Vascular distribution of glioblastoma multiforme at diagnosis. Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences, 19(1), 127–131. https://doi.org/10.1177/159101991301900119
Disciplines
Business Administration, Management, and Operations | Health and Medical Administration | Management Sciences and Quantitative Methods
PubMedID
23472735
Department(s)
Administration and Leadership
Document Type
Article