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©2014 Baishideng Publishing Group Co.
World J Radiol. Apr 28, 2014; 6(4): 72-81
Published online Apr 28, 2014. doi: 10.4329/wjr.v6.i4.72
Published online Apr 28, 2014. doi: 10.4329/wjr.v6.i4.72
Table 1 Validation results of the clinical decision support systems based on chemical shift imaging data
| Ref. | Voxel assignment | Accuracy |
| De Edelenyi et al[27] | Low-grade gliomas | 92.9% |
| High-grade gliomas | 79.16% | |
| Metastasis | 60% | |
| Meningiomas | 100% | |
| Necrosis | 100% | |
| Healthy tissue | 100% | |
| Cerebrospinal fluid | 100% | |
| Simonetti et al[29] | Healthy tissue | 100% |
| Cerospinal fluid | 97% | |
| Glioma grade II | 83% | |
| Glioma grade III | 88% | |
| Glioma grade IV | 100% | |
| Luts et al[32] | Glioma II | 66.6% |
| Glioma II/III | 100% | |
| Glioma IV | 100% | |
| Meningioma | 100% | |
| McKnight et al[28] | Low grade gliomas vs grade III | 89% |
| Li et al[34] | Glioblastoma multiforme | 100% |
| Glioma II | 100% |
- Citation: Tsolaki E, Kousi E, Svolos P, Kapsalaki E, Theodorou K, Kappas C, Tsougos I. Clinical decision support systems for brain tumor characterization using advanced magnetic resonance imaging techniques. World J Radiol 2014; 6(4): 72-81
- URL: https://www.wjgnet.com/1949-8470/full/v6/i4/72.htm
- DOI: https://dx.doi.org/10.4329/wjr.v6.i4.72