1. Preoperative Prognostic Value of Dynamic Contrast-Enhanced MRI–Derived Contrast Transfer Coefficient and Plasma Volume in Patients with Cerebral Gliomas
- Author
-
Rebecca E. Thornhill, C Foottit, Thanh B. Nguyen, Jean-Francois Mercier, Gerard H. Jansen, John Woulfe, M.J. Hogan, Ian Cameron, Greg O. Cron, Carlos Torres, Santanu Chakraborty, Jean-Michel Caudrelier, and John Sinclair
- Subjects
Adult ,Male ,Multivariate analysis ,media_common.quotation_subject ,Contrast Media ,Text mining ,Glioma ,Image Interpretation, Computer-Assisted ,medicine ,Contrast (vision) ,Humans ,Radiology, Nuclear Medicine and imaging ,Prospective Studies ,Prospective cohort study ,Survival analysis ,media_common ,Aged ,Univariate analysis ,business.industry ,Brain Neoplasms ,Brain ,Middle Aged ,medicine.disease ,Prognosis ,Magnetic Resonance Imaging ,Survival Analysis ,Survival Rate ,Dynamic contrast-enhanced MRI ,Female ,Neurology (clinical) ,Nuclear medicine ,business - Abstract
BACKGROUND AND PURPOSE: The prognostic value of dynamic contrast-enhanced MR imaging–derived plasma volume obtained in tumor and the contrast transfer coefficient has not been well-established in patients with gliomas. We determined whether plasma volume and contrast transfer coefficient in tumor correlated with survival in patients with gliomas in addition to other factors such as age, type of surgery, preoperative Karnofsky score, contrast enhancement, and histopathologic grade. MATERIALS AND METHODS: This prospective study included 46 patients with a new pathologically confirmed diagnosis of glioma. The contrast transfer coefficient and plasma volume obtained in tumor maps were calculated directly from the signal-intensity curve without T1 measurements, and values were obtained from multiple small ROIs placed within tumors. Survival curve analysis was performed by dichotomizing patients into groups of high and low contrast transfer coefficient and plasma volume. Univariate analysis was performed by using dynamic contrast-enhanced parameters and clinical factors. Factors that were significant on univariate analysis were entered into multivariate analysis. RESULTS: For all patients with gliomas, survival was worse for groups of patients with high contrast transfer coefficient and plasma volume obtained in tumor (P < .05). In subgroups of high- and low-grade gliomas, survival was worse for groups of patients with high contrast transfer coefficient and plasma volume obtained in tumor (P < .05). Univariate analysis showed that factors associated with lower survival were age older than 50 years, low Karnofsky score, biopsy-only versus resection, marked contrast enhancement versus no/mild enhancement, high contrast transfer coefficient, and high plasma volume obtained in tumor (P < .05). In multivariate analysis, a low Karnofsky score, biopsy versus resection in combination with marked contrast enhancement, and a high contrast transfer coefficient were associated with lower survival rates (P < .05). CONCLUSIONS: In patients with glioma, those with a high contrast transfer coefficient have lower survival than those with low parameters.
- Published
- 2015