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Comparative analysis of surgical processes for image-guided endoscopic sinus surgery
Takaaki Sugino1, Ryoichi Nakamura2,3,4,5, Akihito Kuboki6
1Graduate School of Engineering, Chiba University, Chiba, Japan.
International Journal of Computer Assisted Radiology and Surgery
|September 10, 2018
Summary
This study introduces a novel method for analyzing surgical performance in image-guided endoscopic sinus surgeries (ESSs). The technique models, aligns, and compares surgical processes to enhance surgeon skills.
Area of Science:
- Medical Engineering
- Surgical Robotics
- Data Science in Medicine
Background:
- Surgical skill enhancement is crucial for patient outcomes.
- Image-guided navigation systems provide valuable data for surgical analysis.
- Objective assessment of surgical processes is needed to identify areas for improvement.
Purpose of the Study:
- To propose a method for analyzing surgical performance in endoscopic sinus surgeries (ESSs).
- To develop a comparative analysis framework for surgical processes using navigation system data.
- To support the enhancement of surgical skills through objective performance evaluation.
Main Methods:
- Quantification of surgical features from time-series navigation data.
- Creation of surgical process models (SPMs) incorporating instrument motion and patient anatomy.
- Alignment and comparison of SPMs using dynamic time warping with barycenter averaging.
Main Results:
- Validation on 14 clinical endoscopic sinus surgery cases using optical tracking data.
- Successful alignment and comparison of surgical process models between experts and residents.
- Demonstrated ability to clarify differences in surgical processes between skill levels.
Conclusions:
- A novel method for time-series comparative analysis of surgical processes was developed.
- The method utilizes surgical data from navigation systems for performance evaluation.
- Surgeons can identify procedural differences compared to expert benchmarks, facilitating skill improvement.
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