The diagnostic value of intravoxel incoherent motion imaging in differentiating high-grade from low-grade gliomas: a systematic review and meta-analysis

Br J Radiol. 2021 May 1;94(1121):20201321. doi: 10.1259/bjr.20201321.

Abstract

Objective: This meta-analysis was carried out for assessing the accuracy of intravoxel incoherent motion (IVIM) parameters true diffusion coefficient (D), pseudo-diffusion coefficient (D*), and perfusion fraction (f) in differentiating low-grade gliomas (LGGs) from high-grade gliomas (HGGs).

Methods: Literatures concerning IVIM in the grading of brain gliomas published prior to October 20, 2020, searched in the Embase, PubMed, and Cochrane library. Use the quality assessment of diagnostic accuracy studies 2 (QUADAS 2) to evaluate the quality of studies. We estimated the pooled sensitivity, specificity, and the area under the summary ROC (SROC) curve to identification the accuracy of IVIM parameters D, D*, and f evaluation in grading gliomas.

Results: Totally, 6 articles including 252 brain gliomas conform to the inclusion criteria. The pooled sensitivity of parameters D, D*, and f derived from IVIM were 0.85 (95%Cl, 0.76-0.91), 0.78 (95%Cl, 0.71-0.85), and 0.89 (95%Cl, 0.76-0.96), respectively. The pooled specificity were 0.78 (95%Cl, 0.60-0.90), 0.68 (95%Cl, 0.56-0.79), and 0.88 (95%Cl, 0.76-0.94), respectively. Meanwhile, the AUC of SROC curve were 0.89 (95%Cl, 0.86-0.92) , 0.81 (95%Cl, 0.77-0.84), and 0.94 (95%Cl, 0.92-0.96), respectively.

Conclusion: This meta-analysis suggested that IVIM parameters D, D*, and f have moderate or high diagnosis value accuracy in differentiating HGGs from LGGs, and the parameter f has greater sensitivity and specificity. Standardized methodology is warranted to guide the use of this method for clinical decision-making. However, more clinical studies are needed to prove our view.

Advances in knowledge: IVIM parameter f showed greater sensitivity and specificity, as well as excellent performance than parameter D* and D.

Publication types

  • Meta-Analysis
  • Systematic Review

MeSH terms

  • Area Under Curve
  • Brain Neoplasms / blood supply
  • Brain Neoplasms / diagnostic imaging*
  • Brain Neoplasms / pathology
  • Confidence Intervals
  • Diffusion Magnetic Resonance Imaging
  • Glioma / blood supply
  • Glioma / diagnostic imaging*
  • Glioma / pathology
  • Humans
  • Magnetic Resonance Imaging / methods*
  • Microcirculation*
  • Neoplasm Grading
  • Odds Ratio
  • Publication Bias
  • Sensitivity and Specificity