MRI manifestions correlate with survival of glioblastoma multiforme patients.
AuthorLi, W-B; Tang, K; Chen, Q; Li, S; Qiu, X-G; Li, S-W; Jiang, T
Source TitleCancer Biology & Medicine
University of Melbourne Author/sLi, Shuai
AffiliationMelbourne School of Population and Global Health
Document TypeJournal Article
CitationsLi, W. -B., Tang, K., Chen, Q., Li, S., Qiu, X. -G., Li, S. -W. & Jiang, T. (2012). MRI manifestions correlate with survival of glioblastoma multiforme patients.. Cancer Biol Med, 9 (2), pp.120-123. https://doi.org/10.3969/j.issn.2095-3941.2012.02.007.
Access StatusOpen Access
Open Access at PMChttp://www.ncbi.nlm.nih.gov/pmc/articles/PMC3643659
OBJECTIVE: To identify the correlation between magnetic resonance manifestation and survival of patients with glioblastoma multiforme (GBM). METHODS: The magnetic resonance imaging (MRI) images of 30 glioblastoma patients were collected. Imaging features including degrees of contrasted area, edema surrounding the tumor, and intensity in T2-weighted imaging were selected to determine their correlation with patient survival. The relationship between imaging and survival time was studied using SPSS 19.0 software. Kaplan-Meier survival analysis and log-rank test were used to compare the survival curves. RESULTS: Patients with ≤5% contrasted enhancement area of tumor had longer overall survival (OS) than those with >5% contrasted enhancement area of tumor. Patients without edema surrounding the tumor had longer OS than those with edema. Patients with tumor of hyperintensity and/or isointensity in T2-weighted imaging had longer OS than those with hyperintensity and/or isointensity and hypointensity. CONCLUSIONS: Some MR imaging features including degrees of contrasted area, edema surrounding the tumor, and intensity in T2-weighted imaging are correlated with the survival of patients with GBM. These features can serve as prognostic indicators for GBM patients.
- Click on "Export Reference in RIS Format" and choose "open with... Endnote".
- Click on "Export Reference in RIS Format". Login to Refworks, go to References => Import References