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Deep learning can differentiate idh-mutant from idh-wild gbm
- Source :
- Journal of Personalized Medicine, Volume 11, Issue 4, Journal of Personalized Medicine, Vol 11, Iss 290, p 290 (2021)
- Publication Year :
- 2021
- Publisher :
- MDPI AG, 2021.
-
Abstract
- Isocitrate dehydrogenase (IDH) mutant and wildtype glioblastoma multiforme (GBM) often show overlapping features on magnetic resonance imaging (MRI), representing a diagnostic challenge. Deep learning showed promising results for IDH identification in mixed low/high grade glioma populations<br />however, a GBM-specific model is still lacking in the literature. Our aim was to develop a GBM-tailored deep-learning model for IDH prediction by applying convoluted neural networks (CNN) on multiparametric MRI. We selected 100 adult patients with pathologically demonstrated WHO grade IV gliomas and IDH testing. MRI sequences included: MPRAGE, T1, T2, FLAIR, rCBV and ADC. The model consisted of a 4-block 2D CNN, applied to each MRI sequence. Probability of IDH mutation was obtained from the last dense layer of a softmax activation function. Model performance was evaluated in the test cohort considering categorical cross-entropy loss (CCEL) and accuracy. Calculated performance was: rCBV (accuracy 83%, CCEL 0.64), T1 (accuracy 77%, CCEL 1.4), FLAIR (accuracy 77%, CCEL 1.98), T2 (accuracy 67%, CCEL 2.41), MPRAGE (accuracy 66%, CCEL 2.55). Lower performance was achieved on ADC maps. We present a GBM-specific deep-learning model for IDH mutation prediction, with a maximal accuracy of 83% on rCBV maps. Highest predictivity achieved on perfusion images possibly reflects the known link between IDH and neoangiogenesis through the hypoxia inducible factor.
- Subjects :
- Oncology
medicine.medical_specialty
Mutant
Medicine (miscellaneous)
lcsh:Medicine
Biology
Fluid-attenuated inversion recovery
Article
030218 nuclear medicine & medical imaging
03 medical and health sciences
0302 clinical medicine
Internal medicine
medicine
mri
High-Grade Glioma
idh
medicine.diagnostic_test
Adult patients
lcsh:R
deep learning
Magnetic resonance imaging
cbv
medicine.disease
artificial intelligence
gbm
Idh mutation
nervous system diseases
high grade glioma
Isocitrate dehydrogenase
030220 oncology & carcinogenesis
Glioblastoma
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- Journal of Personalized Medicine, Volume 11, Issue 4, Journal of Personalized Medicine, Vol 11, Iss 290, p 290 (2021)
- Accession number :
- edsair.doi.dedup.....cb2213c1ad21f6d33c2b5577cff9eda5