The correlation of fractional anisotropy parameters with Ki-67 index, and the clinical implication in grading of non-enhancing gliomas and neuronal-glial tumors

Magn Reson Imaging. 2020 Jan:65:129-135. doi: 10.1016/j.mri.2019.10.009. Epub 2019 Oct 20.

Abstract

Purpose: To investigate the correlation between the FA parameters and Ki-67 labeling index, and their diagnostic performance in grading supratentorial non-enhancing gliomas and neuronal-glial tumors (GNGT).

Methods: This institutional review board-approved, Health Insurance Portability and Accountability (HIPAA) compliant retrospective study enrolled 35 patients, including 19 with low grade GNGT and 16 with high grade GNGT. The mean FA, maximal FA and mean maximal FA values derived from diffusion tensor imaging were measured. The correlation between the FA parameters and the Ki-67 labeling index was assessed by Spearman rank test. The receiver operating characteristic curve analysis and multivariate logistic regression analysis were performed to detect the optimal imaging parameters in grading GNGT.

Results: The three FA parameters of low grade GNGT were significantly lower than the high grade GNGT (p < 0.001). The mean FA, maximal FA and mean maximal FA had significant positive correlation with Ki-67 labeling index (p = 0.001, p < 0.001, p < 0.001 respectively). The maximal FA showed a higher sensitivity and specificity in grading of non-enhancing GNGT with specificity of 78.9%, sensitivity of 100.0%, respectively.

Conclusions: The FA parameters correlated with Ki-67 labeling index, and were useful surrogates in preoperative grading supratentorial non-enhancing GNGT.

Keywords: Brain; Diffusion tensor imaging; Neuronal-glial tumor; Non-enhancing glioma.

MeSH terms

  • Adult
  • Anisotropy*
  • Brain / diagnostic imaging
  • Brain Neoplasms / diagnostic imaging*
  • Brain Neoplasms / pathology
  • Diffusion Tensor Imaging*
  • Female
  • Glioma / diagnostic imaging*
  • Glioma / pathology
  • Humans
  • Ki-67 Antigen
  • Male
  • Middle Aged
  • Multivariate Analysis
  • Neoplasm Grading
  • Neurons / pathology
  • ROC Curve
  • Retrospective Studies
  • Sensitivity and Specificity

Substances

  • Ki-67 Antigen