Table 3.
Receiver operating characteristic (ROC) curve analysis comparing the ability of the different diffusions models and quantitative T1map to differentiate between different regions of interest (ROI). The table displays a summary of the full performance (auc, accuracy, sensitivity, specificity) of each model for differentiating ROI between one another and their mean performance across all applications. Abbreviations: area under the curve (auc); periplaque of paramagnetic rim lesion (pPRL+); periplaque of non-paramagnetic rim lesion (pPRL-); periplaque of contrast enhancing lesion (pCEL); Diffusion Tensor Imaging (DTI); DIstribution of Anisotropic MicrOstructural eNvironments in DWI (DIAMOND); Neurite Orientation Dispersion and Density Imaging (NODDI); Microstructure Fingerprinting (MF); Quantitative longitudinal relaxation time (T1).
| PRL+∼PRL- | pPRL+∼pPRL- | PRL+∼CEL | pPRL+∼pCEL | CEL ∼ PRL- | pCEL ∼ pPRL- | mean | variance | ||
|---|---|---|---|---|---|---|---|---|---|
| DTI | auc | 0,6922 | 0,6152 | 0,735 | 0,7095 | 0,7785 | 0,6349 | 0,6942 | 0,003188 |
| accuracy | 0,6284 | 0,6029 | 0,6141 | 0,6275 | 0,7259 | 0,7168 | 0,6526 | – | |
| sensitivity | 0,5268 | 0,3576 | 0,6025 | 0,6203 | 0,7368 | 0,4878 | 0,5996 | – | |
| specificity | 0,7672 | 0,9286 | 0,7105 | 0,6829 | 0,7241 | 0,7563 | 0,7616 | – | |
| DIAMOND | auc | 0,7302 | 0,7265 | 0,7507 | 0,7329 | 0,7608 | 0,7661 | 0,7445 | 0,000239 |
| accuracy | 0,652 | 0,6352 | 0,6875 | 0,5892 | 0,7037 | 0,7986 | 0,6777 | – | |
| sensitivity | 0,5 | 0,4601 | 0,6879 | 0,5687 | 0,6316 | 0,575 | 0,5706 | – | |
| specificity | 0,8578 | 0,8655 | 0,6842 | 0,75 | 0,7155 | 0,8361 | 0,7849 | – | |
| NODDI | auc | 0,8167 | 0,765 | 0,8419 | 0,7369 | 0,8556 | 0,7852 | 0,8002 | 0,001764 |
| accuracy | 0,7468 | 0,6787 | 0,7859 | 0,6919 | 0,7963 | 0,681 | 0,7301 | – | |
| sensitivity | 0,7571 | 0,6139 | 0,795 | 0,6994 | 0,6842 | 0,8293 | 0,7298 | – | |
| specificity | 0,7328 | 0,7647 | 0,7105 | 0,6341 | 0,8147 | 0,6555 | 0,7187 | – | |
| MF | auc | 0,7786 | 0,7126 | 0,7199 | 0,7141 | 0,7955 | 0,7721 | 0,7488 | 0,00116 |
| accuracy | 0,6995 | 0,6047 | 0,6 | 0,6891 | 0,7778 | 0,7061 | 0,6795 | – | |
| sensitivity | 0,7161 | 0,4082 | 0,5868 | 0,6994 | 0,7368 | 0,5854 | 0,6221 | – | |
| specificity | 0,6767 | 0,8655 | 0,7105 | 0,6098 | 0,7845 | 0,7269 | 0,729 | – | |
| T1 | auc | 0,8422 | 0,7241 | 0,7018 | 0,694 | 0,7001 | 0,7403 | 0,73375 | 0,002605 |
| accuracy | 0,7596 | 0,6552 | 0,6535 | 0,7423 | 0,7259 | 0,6918 | 0,7047 | – | |
| sensitivity | 0,7161 | 0,6013 | 0,6562 | 0,7785 | 0,5789 | 0,6341 | 0,6609 | – | |
| specificity | 0,819 | 0,7269 | 0,6316 | 0,4634 | 0,75 | 0,7017 | 0,6821 | – |