Preoperative prediction of diffuse glioma type and grade in adults: a gadolinium-free MRI-based decision tree.

in European radiology by Aynur Azizova, Yeva Prysiazhniuk, Ivar J H G Wamelink, Marcus Cakmak, Elif Kaya, Pieter Wesseling, Philip C de Witt Hamer, Niels Verburg, Jan Petr, Frederik Barkhof, Vera C Keil

TLDR

  • A study developed a gadolinium-free MRI-based diagnosis prediction decision tree for adult-type diffuse gliomas, showing comparable diagnostic accuracy to gadolinium-enhanced scans.
  • The decision tree performed well, with grade and molecular status prediction accuracy ≥0.85 and ≥0.75, respectively.
  • The findings suggest that gadolinium-free imaging protocols can be used alongside standard practice, despite limited improvement in diagnostic accuracy.

Abstract

To develop a gadolinium-free MRI-based diagnosis prediction decision tree (DPDT) for adult-type diffuse gliomas and to assess the added value of gadolinium-based contrast agent (GBCA) enhanced images. This study included preoperative grade 2-4 adult-type diffuse gliomas (World Health Organization 2021) scanned between 2010 and 2021. The DPDT, incorporating eleven GBCA-free MRI features, was developed using 18% of the dataset based on consensus readings. Diagnosis predictions involved grade (grade 2 vs. grade 3/4) and molecular status (isocitrate dehydrogenase (IDH) and 1p/19q). GBCA-free diagnosis was predicted using DPDT, while GBCA-enhanced diagnosis included post-contrast images. The accuracy of these predictions was assessed by three raters with varying experience levels in neuroradiology using the test dataset. Agreement analyses were applied to evaluate the prediction performance/reproducibility. The test dataset included 303 patients (age (SD): 56.7 (14.2) years, female/male: 114/189, low-grade/high-grade: 54/249, IDH-mutant/wildtype: 82/221, 1p/19q-codeleted/intact: 34/269). Per-rater GBCA-free predictions achieved ≥ 0.85 (95%-CI: 0.80-0.88) accuracy for grade and ≥ 0.75 (95%-CI: 0.70-0.80) for molecular status, while GBCA-enhanced predictions reached ≥ 0.87 (95%-CI: 0.82-0.90) and ≥ 0.77 (95%-CI: 0.71-0.81), respectively. No accuracy difference was observed between GBCA-free and GBCA-enhanced predictions. Group inter-rater agreement was moderate for GBCA-free (0.56 (95%-CI: 0.46-0.66)) and substantial for GBCA-enhanced grade prediction (0.68 (95%-CI: 0.58-0.78), p = 0.008), while substantial for both GBCA-free (0.75 (95%-CI: 0.69-0.80) and GBCA-enhanced (0.77 (95%-CI: 0.71-0.82), p = 0.51) molecular status predictions. The proposed GBCA-free diagnosis prediction decision tree performed well, with GBCA-enhanced images adding little to the preoperative diagnostic accuracy of adult-type diffuse gliomas. Question Given health and environmental concerns, is there a gadolinium-free imaging protocol to preoperatively evaluate gliomas comparable to the gadolinium-enhanced standard practice? Findings The proposed gadolinium-free diagnosis prediction decision tree for adult-type diffuse gliomas performed well, and gadolinium-enhanced MRI demonstrated only limited improvement in diagnostic accuracy. Clinical relevance Even inexperienced raters effectively classified adult-type diffuse gliomas using the gadolinium-free diagnosis prediction decision tree, which, until further validation, can be used alongside gadolinium-enhanced images to respect standard practice, despite this study showing that gadolinium-enhanced images hardly improved diagnostic accuracy.

Overview

  • This study aimed to develop a gadolinium-free MRI-based diagnosis prediction decision tree (DPDT) for adult-type diffuse gliomas.
  • The DPDT incorporates eleven GBCA-free MRI features and was developed using a dataset comprising 18% of preoperative grade 2-4 adult-type diffuse gliomas.
  • The study aimed to assess the added value of gadolinium-based contrast agent (GBCA) enhanced images in predicting diagnosis and molecular status.

Comparative Analysis & Findings

  • Per-rater GBCA-free predictions achieved ≥0.85 accuracy for grade and ≥0.75 accuracy for molecular status.
  • GBCA-enhanced predictions reached ≥0.87 accuracy for grade and ≥0.77 accuracy for molecular status.
  • No accuracy difference was observed between GBCA-free and GBCA-enhanced predictions.

Implications and Future Directions

  • The proposed GBCA-free diagnosis prediction decision tree performed well, with GBCA-enhanced images adding little to the preoperative diagnostic accuracy of adult-type diffuse gliomas.
  • The study's findings suggest that gadolinium-free imaging protocols can be used alongside standard practice, despite limited improvement in diagnostic accuracy.
  • Further validation is necessary to support the use of gadolinium-free diagnosis prediction decision trees in clinical practice.