Study | Digital tool evaluated | Area of application | Outcome | Limitations |
---|---|---|---|---|
Alaraj et al, 20155 | Simulation/digital models | Education and preoperative planning | 3D anatomical details closely resembled real operative anatomy and were useful in guiding surgical approaches | Few found the haptic feedback to closely resemble surgical procedures |
Alsofy et al, 20206 | Simulation/digital models | Pre-operative planning | Improved detection of aneurysm-related vascular structures and appropriate surgical approaches | May tempt surgeons to neglect a wider array of approaches |
Ashkenazi et al, 20157 | Telemedicine | Pre-operative planning | Reduced number of institutional transfers | None described |
Bairamian et al, 20198 | Simulation/digital models | Education | VR angiography improved resolution, ease of manipulation, model durability and educational potential | Poorer depth perception |
Breimer et al, 20179 | Simulation/digital models | Education | Relative VR benefits with respect to realistic representation of intraventricular anatomy | Reduced overall instrument handling and procedural content |
de Almeida et al, 202010 | Smartphone applications | Perioperative | High accuracy and reliability of stereotactic brain biopsy coordinates | Certain features of interest are not available |
de Notaris et al, 201111 | Simulation/digital models | Pre-operative planning | Improved quantification of intraoperative bone removal | Time consuming, not available intraoperatively, lack of depth perception |
de Notaris et al, 201012 | Simulation/digital models | Pre-operative planning | Improved quantification of intraoperative bone removal | Time consuming, not available intraoperatively, lack of depth perception |
Dong et al, 201813 | Simulation/digital models | Education | High reported fidelity, high user satisfaction and perceived usefulness | None described |
Fan et al, 202014 | Robotics | Perioperative | Significantly improved screw-placement accuracy, reduced operative blood loss and length of stay | Learning curve required, unclear infection control protocol |
Hou et al, 201615 | Smartphone applications and simulation/digital models | Pre-operative planning | High accuracy in predicting basal ganglia haematoma location | No error checking or location information during surgery |
Latifi et al, 201816 | Telemedicine | Pre-operative planning | Decreased need for institutional transfer | Challenges with initial cost, integration |
Li et al, 201717 | Remote programming | Postoperative care | Significant decreases seen in UPDRS scores | None described |
Ma et al, 202118 | Remote programming | Postoperative care | Rapid symptom relief, institutional cost savings | Lack of physical examination data |
Macyszyn et al, 201319 | Telemedicine | Electronic patient records and interdepartmental communication | Cost savings through elimination of repeat imaging requests | Increased operational complexity for departmental staff |
Mandel et al, 201820 | Smartphone applications | Perioperative | Enhanced surgical mobility | None described |
Mendez et al, 201321 | Remote programming | Postoperative care | High levels of patient and clinician satisfaction | No benefit in accuracy of programming or rate of adverse events |
Moya et al, 201022 | Telemedicine | Pre-operative planning | Decrease in patient transfer requests | None described |
Olldashi et al, 201923 | Telemedicine | Pre-operative planning | Improved access to care, decreased institutional transfer for low-risk patients | Initial set-up costs |
Shibata, 201124 | Telemedicine | Pre-operative diagnosis/planning | Earlier diagnosis of cerebral contusions, earlier escalation; improved planning time prior to emergency surgical intervention | Increased workload for consultant neurosurgeons |
Stepan et al, 201725 | Simulation/digital models | Education | Increased engagement, motivation and satisfaction compared with conventional teaching | No improvement in clinical knowledge scores |
Thapa et al, 201626 | Smartphone applications | Pre-/postoperative care, interdepartmental communication and education | Reduced time taken to interpret clinical images, improved intra-team and interdisciplinary communication | Significant discrepancies in image interpretation, greater risk of misuse of patient data |
Wong et al, 200727 | Simulation/digital models | Education/pre-operative planning | Users gained a better understanding of the best approach for microsurgical clipping for the patient | None described |
Xu et al, 202028 | Remote programming | Postoperative care | Significant improvement in UPDRS-III; 89.29% of patients were satisfied or very satisfied | Reduced opportunity for physician-led physical examination to assess changes in muscle tone |
Zappa et al, 201929 | Robotics | Perioperative | Improved completion times in bimanual tasks, decreased surgical fatigue | Results indicated more difficulty and higher fatigue in simple grasping tasks |
Zhang et al, 201930 | Robotics | Perioperative | Increased accuracy of screw placement, decreased radiation doses, reduced rate of screw revisions | Greater learning curve, not necessarily more effective in completion of simple tasks, variable mental fatigue scores |
UPDRS = Unified Parkinson's Disease Rating Scale; VR = virtual reality.