Diagnostic Approaches to Adult-Type Diffuse Glial Tumors: Comparative Literature and Clinical Practice Study

Vincentas Veikutis1, Mindaugas Brazdziunas1,2, Evaldas Keleras1

  • 1Medical Academy, Lithuanian University of Health Sciences, LT50161 Kaunas, Lithuania.

PubMed

Insights

The 2021 WHO classification emphasizes molecular diagnostics for adult-type diffuse gliomas, using isocitrate dehydrogenase (IDH) status and 1p/19q codeletion. Advanced MR imaging aids diagnosis, treatment monitoring, and differentiating treatment effects.

Area of Science:

  • Neuro-oncology
  • Molecular Diagnostics
  • Radiology

Background:

  • Gliomas are primary central nervous system tumors.
  • The 2021 WHO CNS tumor classification prioritizes molecular biomarkers over histology for adult-type diffuse gliomas.
  • Key biomarkers include isocitrate dehydrogenase (IDH) 1 or 2 status and 1p/19q codeletion.

Purpose of the Study:

  • To review current diagnostic approaches for gliomas.
  • To highlight the role of molecular diagnostics in glioma classification.
  • To discuss the application and advancements of various MR imaging techniques in glioma management.

Main Methods:

  • Literature review of glioma diagnostics and imaging.
  • Analysis of the impact of the 2021 WHO classification on glioma diagnosis.
  • Review of advanced MR imaging techniques including fMRI, DTI, perfusion, spectroscopy, and nuclear medicine imaging.

Main Results:

  • Molecular markers like IDH status and 1p/19q codeletion are now primary for classifying adult-type diffuse gliomas.
  • Advanced MR imaging techniques provide crucial insights into tumor characteristics, vascularity, metabolism, and cellularity.
  • Accurate differentiation of treatment-related changes (pseudoprogression, pseudoresponse, radiation necrosis) is essential for effective patient management.

Conclusions:

  • The integration of molecular diagnostics and advanced imaging has transformed glioma classification and management.
  • Multimodal imaging is indispensable for surgical planning, treatment response assessment, and prognosis.
  • A comprehensive understanding of these evolving diagnostic paradigms improves patient outcomes and guides future research.