TABLE X.
Trajectory definition: details on the clinical aim, pathology/anatomical area, type of data, dataset, AI method, benchmark measure, and results.
| First author (year of publication) | Clinical aim | Pathology/anatomical area | Type of data | Dataset | AI method(s) | Benchmark measure | Results |
|---|---|---|---|---|---|---|---|
| Trajectory definition | |||||||
| Villanueva (2018)174 | Risk assessment for trajectory planning | Neurosurgery | CT MRI | 1 | GA | Risk Time | 2347 –98% |
| Liu (2017)175 | Planning stereotactic radiotherapy | Brain tumor | CT MRI | 46 | SVM | pFDR Time | <0.05% –98% |
| Valisky (2017)165 | Discrimination between the STN and SN | Parkinson's disease | CT MRI | 46 | SVM | pFDR Time | <0.05% –98% |
| Segato (2019)176 | Curvilinear DBS | Parkinson's disease | MRI-T1WI DTI CT | 10 | GA | MSD mSD | +145% +25% |
| Li (2019)177 | Computer-assisted planning | Epilepsy | MRI-T1WI CT | 10 | RF Linear regression | PCC | 70% |
| Vakharia (2019)178 | Trajectory planning for lasers | Epilepsy | MRI-T1WI | 95 | RF Linear regression | Risk Length Angle MSD | 1.1% 93.5 mm 28.8° 6.7 mm |