Challenges of imaging interpretation to predict oligodendroglioma grade: a report from the Neuro-Oncology Branch

Orwa Aboud, Ritu Shah, Elizabeth Vera, Eric Burton, Brett Theeler, Jing Wu, Lisa Boris, Martha Quezado, Jennifer Reyes, Kathleen Wall, Mark R Gilbert, Terri S Armstrong, Marta Penas-Prado

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

Background: To illustrate challenges of imaging interpretation in patients with oligodendroglioma seen at a referral center and evaluate interrater reliability. Methods: Two neuro-oncologists reviewed diagnostic preradiation MRIs of oligodendroglioma patients; interrater reliability was calculated with the kappa coefficient (k). A neuroradiologist measured presurgical apparent diffusion coefficient (ADC), if available. Results: Extensive enhancement was noted in four of 58 patients, k = 0.7; necrosis in seven of 58, k = 0.61; calcification in seven of 17, k = 1.0; diffusion restriction in two of 39 patients, k = 1.0 (all only in grade 3). ADC values with receiver operator characteristic analysis for area under the curve were 0.473, not significantly different from the null hypothesis (p = 0.14). Conclusions: Extensive enhancement, necrosis and calcification correlated with grade 3 oligodendroglioma in our sample. However, interrater variability is an important limitation when assessing radiographic features, supporting the need for standardization of imaging protocols and their interpretation.

Original languageEnglish
Pages (from-to)CNS83
JournalCNS oncology
Volume11
Issue number1
DOIs
StatePublished - 1 Mar 2022
Externally publishedYes

Keywords

  • Brain Neoplasms/diagnostic imaging
  • Diffusion Magnetic Resonance Imaging/methods
  • Humans
  • Neoplasm Grading
  • Oligodendroglioma/diagnostic imaging
  • Reproducibility of Results
  • Retrospective Studies

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