Table 5.
Showing the molecular classification (IDH mutant and IDH wild type) of grade-IV GBM modeled by using Support Vector Machine as the radiomics classifier on MRI-based sequences.
ImageSingle slice v/s Multi slice | MRI sequence | IDHClassification | Radiomics classifier | Diagnostic Metrics | Validation Process | ||
---|---|---|---|---|---|---|---|
AUC | Accuracy | 10-fold internal cross-validation | Hold Validation | ||||
Single slice analysis | T1C | IDH –VE (694) | Linear SVM | 0.91 | 89.8% | YES | NO |
IDH +VE (137) | 0.91 | ||||||
T2W | IDH –VE (689) | Cubic SVM | 0.84 | 86.9% | YES | NO | |
IDH +VE (149) | 0.84 | ||||||
Multi-slice analysis | T1C | IDH –VE (83) | Linear SVM |
0.87 | 87% | YES | NO |
IDH +VE (17) | 0.87 | ||||||
T2W | IDH –VE (83) | Quadratic SVM | 0.80 | 91% | YES | NO | |
IDH +VE (17) | 0.80 | ||||||
T1C + T2W | IDH –VE (83) | Quadratic SVM | 0.89 | 89% | YES | NO | |
IDH +VE (17) | 0.89 | ||||||
T1C + T2W | IDH –VE (83) | Cubic SVM | 0.81 | 90% | NO | YES (90:10) | |
IDH +VE (17) | 0.81 |
AUC, Area under the curve; SVM, Support Vector Machine.