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. 2023 Jan 12;15(2):482. doi: 10.3390/cancers15020482

Table 6.

Subtype classification performances in adult-type gliomas (WHO CNS5).

Classification Metrics cMRI Multi-Shell dMRI cMRI and Multi-Shell dMRI
Overall performance
  Accuracy 57 ± 8% 56 ± 7% 60 ± 5%
  Precision 1 0.60 ± 0.14 0.59 ± 0.07 0.65 ± 0.05
  MCC 0.37 ± 0.14 0.35 ± 0.10 0.43 ± 0.06
Individual group sensitivity
  IDH-mutant 1p/19q-codeleted 60 ± 19% 53 ± 18% 63 ± 18%
  IDH-mutant 1p/19q-uncodeleted 37 ± 22% 43 ± 9% 43 ± 22%
  IDH wildtype 73 ± 19% 70 ± 7% 73 ± 15%

Classification performance of ResNet on the test sets with different MRI inputs to diagnose glioma molecular subtype according to WHO CNS5 on the whole cohort of 146 patients. Data are reported as average ± standard deviation over the five test sets in the outer loop. 1 Computed as the macro-average of the precisions for the three groups. WHO CNS5 = fifth edition of the WHO classification of the central nervous system tumours; IDH = isocitrate dehydrogenase; cMRI = conventional MRI; dMRI = diffusion MRI; MCC = Matthews correlation coefficient.