Laparoscopic Skill Classification Using the Two-Third Power Law and the Isogony Principle

2017 ◽  
Author(s):  
Anna French ◽  
Timothy M. Kowalewski
Keyword(s):  
Patient Outcomes ◽  
Training Session ◽  
Human Intervention ◽  
Training Module ◽  
Surgical Skill ◽  
Scoring Method ◽  
Skill Levels ◽  
Surgical Tool ◽  
Task Time ◽  
Skill Evaluation

Surgical skill evaluation is a field that attempts to improve patient outcomes by accurately assessing surgeon proficiency. An important application of the information gathered from skill evaluation is providing feedback to the surgeon on their performance. The most commonly utilized methods for judging skill all depend on some type of human intervention. Expert panels are considered the gold standard for skill evaluation, but are cost prohibitive and often take weeks or months to deliver scores. The Fundamentals of Laparoscopic Surgery (FLS) is a widely adopted surgical training regime. Its scoring method is based on task time and number of task-specific errors, which currently requires a human proctor to calculate. This scoring method requires prior information on the distribution of scores among skill levels, which creates a problem any time a new training module or technique is introduced. These scores are not normally provided while training for the FLS skills test, and [1] has shown that FLS scoring does not lend any additional information over sorting skill levels based on task time. Crowd sourced methods such as those in [2] have also been used to provide feedback and have shown concordance with patient outcomes, however it still takes a few hours to generate scores after a training session. It is desired to find an assessment method that can deliver a score immediately following a training module (or even in real time) and depends neither on human intervention nor on task-specific probability distributions. It is hypothesized that isogony-based surgical tool motion analysis discerns surgical skill level independent of task time.

Surgical Skill Evaluation From Robot-Assisted Surgery Recordings

2021 ◽  
Author(s):  
Abed Soleymani ◽  
Ali Akbar Sadat Asl ◽  
Mojtaba Yeganejou ◽  
Scott Dick ◽  
Mahdi Tavakoli ◽  
...  
Keyword(s):  
Surgical Skill ◽  
Robot Assisted ◽  
Surgical Skill Evaluation ◽  
Skill Evaluation ◽  
Robot Assisted Surgery

scholarly journals Surgical Skill Evaluation in Endoscopic Sinus Surgery Training System

2002 ◽  
Vol 4 (1) ◽  
pp. 13-19
Author(s):  
Yasushi Yamauchi ◽  
Juli Yamashita ◽  
Osamu Morikawa ◽  
Ryoichi Hashimoto ◽  
Masaaki Mochimaru ◽  
...  
Keyword(s):  
Endoscopic Sinus Surgery ◽  
Training System ◽  
Sinus Surgery ◽  
Surgical Skill ◽  
Surgery Training ◽  
Surgical Skill Evaluation ◽  
Skill Evaluation

Surgical skill levels: Classification and analysis using deep neural network model and motion signals

2019 ◽  
Vol 177 ◽  
pp. 1-8 ◽  
Author(s):  
Xuan Anh Nguyen ◽  
Damir Ljuhar ◽  
Maurizio Pacilli ◽  
Ramesh Mark Nataraja ◽  
Sunita Chauhan
Keyword(s):  
Neural Network ◽  
Network Model ◽  
Neural Network Model ◽  
Deep Neural Network ◽  
Surgical Skill ◽  
Skill Levels

scholarly journals Real-Time Surgical Problem Detection and Instrument Tracking in Cataract Surgery

2020 ◽  
Vol 9 (12) ◽  
pp. 3896
Author(s):  
Shoji Morita ◽  
Hitoshi Tabuchi ◽  
Hiroki Masumoto ◽  
Hirotaka Tanabe ◽  
Naotake Kamiura
Keyword(s):  
Cataract Surgery ◽  
Real Time ◽  
False Positive Rate ◽  
Surgical Techniques ◽  
Surgical Skill ◽  
Skill Levels ◽  
Detection Rates ◽  
Surgical Methods ◽  
Instrument Tracking ◽  
Positive Rate

Surgical skill levels of young ophthalmologists tend to be instinctively judged by ophthalmologists in practice, and hence a stable evaluation is not always made for a single ophthalmologist. Although it has been said that standardizing skill levels presents difficulty as surgical methods vary greatly, approaches based on machine learning seem to be promising for this objective. In this study, we propose a method for displaying the information necessary to quantify the surgical techniques of cataract surgery in real-time. The proposed method consists of two steps. First, we use InceptionV3, an image classification network, to extract important surgical phases and to detect surgical problems. Next, one of the segmentation networks, scSE-FC-DenseNet, is used to detect the cornea and the tip of the surgical instrument and the incisional site in the continuous curvilinear capsulorrhexis, a particularly important phase in cataract surgery. The first and second steps are evaluated in terms of the area under curve (i.e., AUC) of the figure of the true positive rate versus (1—false positive rate) and the intersection over union (i.e., IoU) obtained by the ground truth and prediction associated with the region of interest. As a result, in the first step, the network was able to detect surgical problems with an AUC of 0.97. In the second step, the detection rate of the cornea was 99.7% when the IoU was 0.8 or more, and the detection rates of the tips of the forceps and the incisional site were 86.9% and 94.9% when the IoU was 0.1 or more, respectively. It was thus expected that the proposed method is one of the basic techniques to achieve the standardization of surgical skill levels.

scholarly journals Development of Estimating Equation of Machine Operational Skill by Utilizing Eye Movement Measurement and Analysis of Stress and Fatigue

2013 ◽  
Vol 2013 ◽  
pp. 1-13
Author(s):  
Satoshi Suzuki ◽  
Asato Yoshinari ◽  
Kunihiko Kuronuma
Keyword(s):  
Eye Movement ◽  
Evaluation Method ◽  
Eye Gaze ◽  
Principal Component ◽  
Estimating Equation ◽  
Skill Levels ◽  
Outlier Test ◽  
Machine Operators ◽  
Skill Evaluation ◽  
Human Support

For an establishment of a skill evaluation method for human support systems, development of an estimating equation of the machine operational skill is presented. Factors of the eye movement such as frequency, velocity, and moving distance of saccade were computed using the developed eye gaze measurement system, and the eye movement features were determined from these factors. The estimating equation was derived through an outlier test (to eliminate nonstandard data) and a principal component analysis (to find dominant components). Using a cooperative carrying task (cc-task) simulator, the eye movement and operational data of the machine operators were recorded, and effectiveness of the derived estimating equation was investigated. As a result, it was confirmed that the estimating equation was effective strongly against actual simple skill levels (r=0.56–0.84). In addition, effects of internal condition such as fatigue and stress on the estimating equation were analyzed. Using heart rate (HR) and coefficient of variation of R-R interval (Cvrri). Correlation analysis between these biosignal indexes and the estimating equation of operational skill found that the equation reflected effects of stress and fatigue, although the equation could estimate the skill level adequately.

scholarly journals The Effectiveness of Bioskills Training for Simulated Open Lumbar Laminectomy

2017 ◽  
Vol 7 (8) ◽  
pp. 794-800 ◽  
Author(s):  
Barrett S. Boody ◽  
Brett D. Rosenthal ◽  
Tyler J. Jenkins ◽  
Alpesh A. Patel ◽  
Jason W. Savage ◽  
...  
Keyword(s):  
Medical Students ◽  
Clinical Education ◽  
Medical Center ◽  
Academic Medical Center ◽  
Intervention Group ◽  
Training Session ◽  
Senior Resident ◽  
Control Group ◽  
Junior Resident ◽  
Training Module

Study Design: Randomized, prospective study within an orthopedic surgery resident program at a large urban academic medical center. Objectives: To develop an inexpensive, user-friendly, and reproducible lumbar laminectomy bioskills training module and evaluation protocol that can be readily implemented into residency training programs to augment the clinical education of orthopedic and neurosurgical physicians-in-training. Methods: Twenty participants comprising senior medical students and orthopedic surgical residents. Participants were randomized to control (n = 9) or intervention (n = 11) groups controlling for level of experience (medical students, junior resident, or senior resident). The intervention group underwent a 40-minute bioskills training module, while the control group spent the same time with self-directed study. Pre- and posttest performance was self-reported by each participant (Physician Performance Diagnostic Inventory Scale [PPDIS]). Objective outcome scores were obtained from a blinded fellowship-trained attending orthopedic spine surgeon using Objective Structured Assessment of Technical Skills (OSATS) and Objective Decompression Score metrics. Results: When compared with the control group, the intervention group yielded a significant mean improvement in OSATS ( P = .022) and PPDIS ( P = .0001) scores. The Objective Decompression Scores improved in the intervention group with a trend toward significance ( P = .058). Conclusions: We conclude that a concise lumbar laminectomy bioskills training session can be a useful educational tool for to augment clinical education. Although no direct clinical correlation can be concluded from this study, the improvement in trainee’s technical and procedural skills suggests that Sawbones training modules can be an efficient and effective tool for teaching fundamental spine surgical skills outside of the operating room.

scholarly journals The Arthroscopic Surgical Skill Evaluation Tool (ASSET)

2013 ◽  
Vol 41 (6) ◽  
pp. 1229-1237 ◽  
Author(s):  
Ryan J. Koehler ◽  
Simon Amsdell ◽  
Elizabeth A. Arendt ◽  
Leslie J. Bisson ◽  
Jonathan P. Bramen ◽  
...  
Keyword(s):  
Evaluation Tool ◽  
Surgical Skill ◽  
Surgical Skill Evaluation ◽  
Skill Evaluation
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