Using Augmented Reality Technology to Optimize Transfacet Lumbar Interbody Fusion: A Case Report.
Anas BardeesiTroy Q TabarestaniStephen M BerginChuan-Ching HuangChristopher I ShaffreyWalter F WigginsMuhammad M Abd-El-BarrPublished in: Journal of clinical medicine (2024)
The transfacet minimally invasive transforaminal lumbar interbody fusion (MIS-TLIF) is a novel approach available for the management of lumbar spondylolisthesis. It avoids the need to manipulate either of the exiting or traversing nerve roots, both protected by the bony boundaries of the approach. With the advancement in operative technologies such as navigation, mapping, segmentation, and augmented reality (AR), surgeons are prompted to utilize these technologies to enhance their surgical outcomes. A 36-year-old male patient was complaining of chronic progressive lower back pain. He was found to have grade 2 L4/5 spondylolisthesis. We studied the feasibility of a trans-Kambin or a transfacet MIS-TLIF, and decided to proceed with the latter given the wider corridor it provides. Preoperative trajectory planning and level segmentation in addition to intraoperative navigation and image merging were all utilized to provide an AR model to guide us through the surgery. The use of AR can build on the safety and learning of novel surgical approaches to spine pathologies. However, larger high-quality studies are needed to further objectively analyze its impact on surgical outcomes and to expand on its application.
Keyphrases
- minimally invasive
- deep learning
- virtual reality
- convolutional neural network
- robot assisted
- patients undergoing
- multiple sclerosis
- physical activity
- case report
- high resolution
- quality improvement
- machine learning
- peripheral nerve
- high density
- atrial fibrillation
- mass spectrometry
- case control
- acute coronary syndrome
- thoracic surgery