Early Detection of Malignant Transformation in Resected WHO II Low-Grade Glioma Using Diffusion Tensor-Derived Quantitative Measures

PLoS One. 2016 Oct 14;11(10):e0164679. doi: 10.1371/journal.pone.0164679. eCollection 2016.

Abstract

Objective: Here, we retrospectively investigate the value of voxel-wisely plotted diffusion tensor-derived (DTI) axial, radial and mean diffusivity for the early detection of malignant transformation (MT) in WHO II glioma compared to contrast-enhanced images.

Materials and methods: Forty-seven patients underwent brain magnetic resonance imaging follow-up between 2006-2014 after gross-tumor resection of intra-axial WHO II glioma. Axial/Mean/Radial diffusivity maps (AD/MD/RD) were generated from DTI data. ADmin/MDmin/RDmin values were quantified within tumor regions-of-interest generated by two independent readers including tumor contrast-to-noise (CNR). Sensitivity/specificity and area-under-the-curve (AUC) were calculated using receiver-operating-characteristic analysis. Inter-reader agreement was assessed (Cohen's kappa).

Results: Eighteen patients demonstrated malignant transformation (MT) confirmed in 8/18 by histopathology and in 10/18 through imaging follow-up. Twelve of 18 patients (66.6%) with MT showed diffusion restriction timely coincidental with contrast-enhancement (CE). In the remaining six patients (33.3%), the diffusion restriction preceded the CE. The mean gain in detection time using DTI was (0.8±0.5 years, p = 0.028). Compared to MDmin and RDmin, ROC-analysis showed best diagnostic value for ADmin (sensitivity/specificity 94.94%/89.7%, AUC 0.96; p<0.0001) to detect MT. CNR was highest for AD (1.83±0.14), compared to MD (1.31±0.19; p<0.003) and RD (0.90±0.23; p<0.0001). Cohen's Kappa was 0.77 for ADmin, 0.71 for MDmin and 0.65 for RDmin (p<0.0001, respectively).

Conclusion: MT is detectable at the same time point or earlier compared to T1w-CE by diffusion restriction in diffusion-tensor-derived maps. AD demonstrated highest sensitivity/specificity/tumor-contrast compared to radial or mean diffusivity (= apparent diffusion coefficient) to detect MT.

MeSH terms

  • Adult
  • Area Under Curve
  • Brain Neoplasms / diagnosis
  • Brain Neoplasms / diagnostic imaging*
  • Brain Neoplasms / pathology
  • Early Diagnosis
  • Female
  • Glioma / diagnosis
  • Glioma / diagnostic imaging*
  • Glioma / pathology
  • Humans
  • Image Enhancement
  • Magnetic Resonance Imaging*
  • Male
  • Middle Aged
  • Neoplasm Grading
  • ROC Curve
  • Sensitivity and Specificity

Grants and funding

This work has been partially funded by the Deutsche Forschungsgemeinschaft (DFG) grant number LA 2804/1-3. Parts of this study were supported by the Ministry of Science and Higher Education grant number NN 403278933. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.