Published December 2016 | Version v1
Journal article

Prognostic value of preoperative dynamic contrast-enhanced MRI perfusion parameters for high-grade glioma patients

  • 1. Vilnius University, Faculty of Medicine, Vilnius (Lithuania)
  • 2. University of Athens, Department of Neurosurgery, Evangelismos Hospital, Athens (Greece)
  • 3. General Anticancer and Oncological Hospital ''St. Savvas'', Department of Advanced Imaging Modalities - CT and MRI, Athens (Greece)
  • 4. General Anticancer and Oncological Hospital ''St. Savvas'', Department of Radiation Oncology, Athens (Greece)
  • 5. Champalimaud Foundation, Department of Radiology, Centre for the Unknown, Lisbon (Portugal)
  • 6. Affidea Lietuva, Vilnius (Lithuania)
  • 7. National Cancer Institute, Vilnius (Lithuania)
  • 8. University College London Hospitals, Department of Neuroradiology, The National Hospital for Neurology and Neurosurgery, London (United Kingdom)

Description

The prognostic value of the dynamic contrast-enhanced (DCE) MRI perfusion and its histogram analysis-derived metrics is not well established for high-grade glioma (HGG) patients. The aim of this prospective study was to investigate DCE perfusion transfer coefficient (Ktrans), vascular plasma volume fraction (vp), extracellular volume fraction (ve), reverse transfer constant (kep), and initial area under gadolinium concentration time curve (IAUGC) as predictors of progression-free (PFS) and overall survival (OS) in HGG patients. Sixty-nine patients with suspected anaplastic astrocytoma or glioblastoma underwent preoperative DCE-MRI scans. DCE perfusion whole tumor region histogram parameters, clinical details, and PFS and OS data were obtained. Univariate, multivariate, and Kaplan-Meier survival analyses were conducted. Receiver operating characteristic (ROC) curve analysis was employed to identify perfusion parameters with the best differentiation performance. On univariate analysis, ve and skewness of vp had significant negative impacts, while kep had significant positive impact on OS (P < 0.05). ve was also a negative predictor of PFS (P < 0.05). Patients with lower ve and IAUGC had longer median PFS and OS on Kaplan-Meier analysis (P < 0.05). Ktrans and ve could also differentiate grade III from IV gliomas (area under the curve 0.819 and 0.791, respectively). High ve is a consistent predictor of worse PFS and OS in HGG glioma patients. vp skewness and kep are also predictive for OS. Ktrans and ve demonstrated the best diagnostic performance for differentiating grade III from IV gliomas. (orig.)

Availability note (English)

Available from: http://dx.doi.org/10.1007/s00234-016-1741-7

Additional details

Identifiers

Publishing Information

Journal Title
Neuroradiology
Journal Volume
58
Journal Issue
12
Journal Page Range
p. 1197-1208
ISSN
0028-3940
CODEN
NRDYAB