Table 2.
Summary of performance data of the radiomics models.
Author, Journal, Year | SEN | SPE | ACC | PPV | NPV |
---|---|---|---|---|---|
Bathla, European Radiology, 2021 (12) | 0,97 | 0,85 | 0,93 | 0,93 | 0,94 |
Chen, The International Journal of Neuroscience, 2018 (13) | 0,77 | 0,90 | 0,91 | 0,98 | 0,68 |
Kang, Neuro-Oncology 2018 (14) | 0,85 | 0,79 | 0,83 | 0,91 | 0,74 |
Kim, Neuroradiology, 2018 (15) | 0,98 | 0,80 | 0,91 | 0,85 | 1,00 |
Kong, Neuroimage Clinical, 2019 (16) | 0,95 | 0,98 | 0,97 | 1,00 | 0,92 |
Lu, Frontiers in neurology, 2022 (17) | 0,87 | 0,93 | 0,90 | 0,94 | 0,87 |
Lv, Journal of Neurosurgery, 2022 (18) | 0,85 | 0,90 | 0,90 | 0,95 | 0,79 |
Priya, Neuroradiol J., 2021 (19) | 0,80 | 0,91 | 0,88 | 0,96 | 0,69 |
Wu, IEE Transanctions On Medical Imaging, 2018 (20) | 0,88 | 0,90 | 0,95 | 0,98 | 0,79 |
Xia, Journal of Magnetic Resonance Imaging, 2020 (21) | 0,91 | 0,88 | 0,92 | 0,90 | 0,93 |
Xia, Journal of Magnetic Resonance Imaging, 2021 (22) | 0,84 | 0,89 | 0,87 | 0,90 | 0,83 |
SEN, sensitivity; SPE, specificity; ACC, accuracy; PPV, positive predictive value; NPV, negative predictive value.