#AIRO CT SETUP FOR ANESTHESIA MANUAL#
#AIRO CT SETUP FOR ANESTHESIA SOFTWARE#

By selectively highlighting relevant structures, complex anatomical constellations could be displayed more clearly, which could facilitate learning and improve the performance of surgeons in training. Additionally, the increased ease of finding the anatomical landmarks could help in making the surgery less demanding and less fatiguing for the surgeon, thus increasing the comfort for the surgeon and at the same time helping to minimize fatigue-related errors.ĪR has other potential applications in areas including surgical education and training. AR could help to improve the workflow of the surgery by highlighting the anatomical structures displayed in the microscope during the procedure removing the need to interrupt the surgery to verify the actual anatomy using a navigated pointer and 3D navigation. Each time a surgical landmark is verified, the procedure must be paused, and the workflow interrupted. In a typical MIS-TLIF, a surgeon must verify the location of anatomical landmarks within the surgical field of view using a navigated pointer and 3D navigation. This could be particularly helpful in MIS techniques with a narrow field of view such as the MIS-TLIF or in patients with severe degenerative changes and difficult anatomical conditions.

Intraoperatively, this technique could help to identify the correct anatomical landmarks by highlighting them.

#AIRO CT SETUP FOR ANESTHESIA MANUAL#

However, advanced degenerative changes (osteophytes, facet arthropathy, severely collapsed disc space) caused inaccuracy of the automatized rendering function and needed manual correction of the outline.

#AIRO CT SETUP FOR ANESTHESIA SOFTWARE#

This function was in the available AR planning software already for different anatomical structures and the automatized rendering of the pedicle outlines worked reliably in our case series. In the future, the suggested landmarks may be identified automatically through digital rendering. The preoperative planning can be done when reviewing the images prior to the surgery and might take a user who is familiar with the workflow and the software less than 10 minutes. Since this limit, the comparability in our case series, we did not measure the preoperative planning time. Additionally, 4–5 cases were needed to get familiar with the functions of the AR software. In our experience, this required a learning curve to translate the position of the landmarks from 2D to the 3D view through the microscope in the OR. The evaluated version of the AR software allowed the preoperative planning only on the 2D CT scan slides and not on the 3D reconstructions.

Airo ct setup for anesthesia