Development and Validation of Collaborative Robot-assisted Cutting Method for Iliac Crest Flap Raising: Randomized Crossover Trial

The current gold standard of computer-assisted jaw reconstruction includes raising microvascular bone flaps with patient-specific 3D-printed cutting guides. The downsides of cutting guides are invasive fixation, periosteal denudation, preoperative lead time and missing intraoperative flexibility. This study aimed to investigate the feasibility and accuracy of a robot-assisted cutting method for raising iliac crest flaps compared to a conventional 3D-printed cutting guide.

In a randomized crossover design, 40 participants raised flaps on pelvic models using conventional cutting guides and a robot-assisted cutting method. The accuracy was measured and compared regarding osteotomy angle deviation, Hausdorff Distance (HD) and Average Hausdorff Distance (AVD). Duration, workload and usability were further evaluated.

The mean angular deviation for the robot-assisted cutting method was 1.9±1.1° (mean±sd) and for the 3D-printed cutting guide it was 4.7±2.9° (p<0.001). The HD resulted in a mean value of 1.5±0.6mm (robot) and 2.0±0.9mm (conventional) (p<0.001). For the AVD, this was 0.8±0.5mm (robot) and 0.8±0.4mm (conventional) (p=0.320). Collaborative robot-assisted cutting is an alternative to 3D-printed cutting guides in experimental static settings, achieving slot design benefits with less invasiveness and higher intraoperative flexibility. In the next step, the results should be tested in a dynamic environment with a moving phantom and on the cadaver.

Competing Interest Statement

The authors have declared no competing interest.

Clinical Trial

DRKS00031358

Clinical Protocols

https://drks.de/search/de/trial/DRKS00031358

Funding Statement

Behrus Puladi was funded by the Medical Faculty of RWTH Aachen University as part of the Clinician Scientist Program. We acknowledge FWF enFaced 2.0 [KLI 1044, https://enfaced2.ikim.nrw/] and KITE (Plattform für KI-Translation Essen) from the REACT-EU initiative [https://kite.ikim.nrw/, EFRE-0801977].

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Ethics Committee of RWTH Aachen University (approval number EK 23-149, date of approval 20.07.2023)

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