Revisiting anaplastic astrocytomas I: an expansive growth pattern is associated with a better prognosis.
Publication/Presentation Date
12-1-2008
Abstract
PURPOSE: To study whether anaplastic astrocytomas that are nonenhancing and/or well-circumscribed (expansive) are associated with a better prognosis.
MATERIALS AND METHODS: We retrospectively identified 59 patients with pathologically confirmed World Health Organizaiton (WHO) grade III anaplastic astrocytoma who underwent craniotomy at our institution from 1995 through 2006. We assessed prognostic variables including age, enhancement (EAA-34 patients) vs. nonenhancement (NEAA-25 patients), MR growth patterns (expansive [28 patients] vs. mixed/infiltrative [31 patients]), recursive partitioning analysis (RPA) class, resection extent, and addition of chemotherapy. Primary outcome measure was survival.
RESULTS: Kaplan-Meier curves showed improved survival in NEAA, expansive tumors, and RPA 1 class patients. Within RPA class I patients, expansive growth pattern remained a significant advantage in survival time. Examining extent of resection also showed that patients with gross total resections (GTR) had a better prognosis. A multivariate (Cox proportional hazards) analysis showed that patient age and expansive tumor phenotype affected outcome, whereas RPA class, enhancement, and GTR did not.
CONCLUSION: Circumscribed growth in histologically proven anaplastic astrocytoma, which has not been emphasized in past studies, has a considerable survival advantage.
Volume
28
Issue
6
First Page
1311
Last Page
1321
ISSN
1053-1807
Published In/Presented At
Moulding, H. D., Friedman, D. P., Curtis, M., Kenyon, L., Flanders, A. E., Paek, S. H., & Andrews, D. W. (2008). Revisiting anaplastic astrocytomas I: an expansive growth pattern is associated with a better prognosis. Journal of magnetic resonance imaging : JMRI, 28(6), 1311–1321. https://doi.org/10.1002/jmri.21593
Disciplines
Business Administration, Management, and Operations | Health and Medical Administration | Management Sciences and Quantitative Methods
PubMedID
19025897
Department(s)
Administration and Leadership
Document Type
Article