Surgical Workflow and Skill Analysis based on Navigation System Information
Advanced and complicated surgical procedures impede normal surgical management and place a burden on surgeons and hospitals. Quantitative analysis and prediction of surgical workflow/progress contributes to an understanding and improvement of surgical procedures, environments, and effective scheduling.
For the optimal management of surgery, it is quite important to know the progress of the surgical procedure, whether the progress is satisfactory, and when the procedure will be finished during the surgery itself. We are developing a method for the process progress analysis of surgical procedures. We have developed the first prototype for the process progress analysis of glioma surgery, which can indicate the progress rate and the expected finish time of tumor removal. We applied this system for clinical cases in the iMRI OR at the Tokyo Women's Medical University (TWMU).
Fig. Process Progress Analysis System for Glioma Surgery
Furthermore, we now try to apply the system to endoscopic surgeries. An endoscopic surgery, which is performed through small incisions, requires high specialized skills. Optimizing surgical procedures and enhancing surgical skills are very important for the safety of endoscopic surgeries. Therefore, we have developed a surgical workflow analysis system for endoscopic surgeries, which allows surgeons to understand the process progress as well as whether the procedure is properly performed and what the surgeon should improve if points to be improved are found during the procedure. So far, we have created and validated an application to quantitatively evaluate and visualize surgeon's skill level and surgical process during laparoscopic cholecystectomy.
Fig. Surgical Workflow and Skill Assessment System for Navigation-guided Laparoscopicsurgery
Takaaki Sugino, Akihito Kuboki, Nobuyoshi Otori, Osamu Honda, Masashi Yamamoto, Ryoichi Nakamura, Quantitative analysis of a camera operation for endoscopic sinus surgery using a navigation information: clinical study, Journal of Japanese Society of Computer Aided Surgery, 19(1)17-25, 2017
Takaaki Sugino, Hiroshi Kawahira, Ryoichi Nakamura, Surgical task analysis of simulated laparoscopic cholecystectomy with a navigation system, International Journal of Computer Assisted Radiology and Surgery, 9(5):825-836, Sept 2014
T. Sugino, H. Kawahira, R. Nakamura, Approach for modelling surgical processes in laparoscopic surgery based on navigation information, 28th International Congress on Computer Assisted Radiology and Surgery (CARS2014), Fukuoka, Japan, June 25-28, 2014, International Journal of Computer Assisted Radiology and Surgery, 9(suppl):S117-118, June 2014
Ryoichi Nakamura, Tomoaki Aizawa, Yoshihiro Muragaki, Takashi Maruyama, Hiroshi Iseki, Automatic surgical workflow estimation method for brain tumor resection using surgical navigation information, Journal of Robotics and Mechatronics, 24(5):791-801, 2012
R. Nakamura, T. Aizawa, Y. Muragaki, T. Maruyama and H. Iseki, Method for End Time Prediction of Brain Tumor Resections Using Analysis of Surgical Navigation Information and Tumor Size Characteristics, 2012 the World Congress on Medical Physics and Biomedical Engineering (WC2012), Beijing, China, May26-31, 2012, IFMBE Proceedings 39, pp.1452-1455, 2012
Takaaki Sugino, Hiroshi Kawahira, Tomoaki Aizawa, Ryoichi Nakamura, Analysis of the Surgical Workflow during Laparoscopic Cholecystectomy using Surgical Navigation Information, The 8th Asian Conference on Computer Aided Surgery, Beijing, China, May27-28, 2012
Tomoaki Aizawa, Ryoichi Nakamura, Takashi Maruyama, Yoshihiro Muragaki, Hiroshi Iseki, Method to estimate the end time of brain tumor resection by using surgical navigation information, 25th International Congress on Computer Assisted Radiology and Surgery (CARS2011), Berlin, Germany, June 22-25, 2011, Int J of CARS, 6(suppl1):S141-2, 2011
Tomoaki Aizawa, Ryoichi Nakamura, Yoshihiro Muragaki, Takashi Maruyama, Masahiko Tanaka, Hiroshi Iseki, Process Progress Analysis Method Using Surgical Navigation Information in Glioma Surgery, Journal of Japanese Society of Computer Aided Surgery, 13(1):25-32, 2011 (Japanese)
Tomoaki Aizawa, Ryoichi Nakamura, Yoshihiro Muragaki, Takashi Maruyama, Masahiko Tanaka, Hiroshi Iseki, Process progress analysis method using surgical navigation information in glioma surgery, The 6th Asian Conference on Computer Aided Surgery, Busan, Korea, Nov. 26-27, 2010
Ryoichi Nakamura, Tomoaki Aizawa, Yoshihiro Muragaki, Takashi Maruyama, Masahiko Tanaka, Hiroshi Iseki, Intraoperative analysis of task progress and performance of glioma surgery using navigation information, 24th International Congress on Computer Assisted Radiology and Surgery (CARS2010), Geneva, Switzerland, June 23-26, 2010, Int J of CARS, 5(suppl1):S405-6, 2010