Cognitive Load in Electromagnetic Navigational and Robotic Bronchoscopy for Pulmonary Nodules

Single Setting Robotic Lung Nodule Diagnosis and Resection

Lung cancer remains the leading cause of cancer-related deaths. Early tissue diagnosis followed by timely therapeutic procedures can have a significant impact on overall survival. While robotic-assisted lung resection is an established therapeutic procedure, robotic-assisted bronchoscopy is a more recent diagnostic procedure that improves reach, stability, and precision in the field of bronchoscopic lung nodule biopsy. The ability to combine lung cancer diagnostics with therapeutic surgical resection into a single-setting anesthesia procedure has the potential to decrease costs, improve patient experiences, and most importantly, reduce delays in cancer care.

Robotic Bronchoscopy: Review of Three Systems

Robotic bronchoscopy (RB) has been shown to improve access to smaller and more peripheral lung lesions, while simultaneously staging the mediastinum. Pre-clinical studies demonstrated extremely high diagnostic yields, but real-world RB yields have yet to fully matched up in prospective studies. Despite this, RB technology has rapidly evolved and has great potential for lung-cancer diagnosis and even treatment. In this article, we review the historical and present challenges with RB in order to compare three RB systems.

Enhancing Nodule Biopsy Through Technology Integration

Technology in navigating to peripheral pulmonary nodules has improved in recent years. The recent integration of a robotic platform using shape-sensing technology and mobile cone-beam computed tomography imaging technology has enhanced confidence in sampling lesions with intraprocedural imaging by complimenting the pre-planned navigation to peripheral pulmonary nodules. We present 2 cases using the software integration that improved the robotic catheter positioning to allow for diagnostic specimens to be obtained in the initial biopsies.

The Role of Augmented Reality in the Next Phase of Surgical Education

Concomitant with such a shift toward competency-based curricula, there has been increasing adoption of surgical simulation coupled with virtual, mixed, and augmented reality. These technologies have become more commonplace across multiple surgical disciplines, in domains such as preoperative planning, surgical education, and intraoperative navigation. However, there is a relative paucity of literature pertaining to the application of this technology to plastic surgery education. This review outlines the advantages of mixed and augmented reality in the pursuit of an ideal simulation environment, their benefits for the education of plastic surgery trainees, and their role in standardized assessments. In addition, we offer practical solutions to commonly encountered problems with this technology. Augmented reality has tremendous untapped potential in the next phase of plastic surgery education, and we outline steps toward broader implementation to enhance the learning environment for our trainees and to improve patient outcomes.

The Measurement of Cognitive Workload in Surgery Using Pupil Metrics: A Systematic Review and Narrative Analysis

INTRODUCTION

Increased cognitive workload (CWL) is a well-established entity that can impair surgical performance and increase the likelihood of surgical error. The use of pupil and gaze tracking data is increasingly being used to measure CWL objectively in surgery. The aim of this review is to summarize and synthesize the existing evidence that surrounds this.

METHODS

A systematic review was undertaken in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. A search of OVID MEDLINE, IEEE Xplore, Web of Science, Google Scholar, APA PsychINFO, and EMBASE was conducted for articles published in English between 1990 and January 2021. In total, 6791 articles were screened and 32 full-text articles were selected based on the inclusion criteria. A narrative analysis was undertaken in view of the heterogeneity of studies.

RESULTS

Seventy-eight percent of selected studies were deemed high quality. The most frequent surgical environment and task studied was surgical simulation (75%) and performance of laparoscopic skills (56%) respectively. The results demonstrated that the current literature can be broadly categorized into pupil, blink, and gaze metrics used in the assessment of CWL. These can be further categorized according to their use in the context of CWL: (1) direct measurement of CWL (n = 16), (2) determination of expertise level (n = 14), and (3) predictors of performance (n = 2).

CONCLUSIONS

Eye-tracking data provide a wealth of information; however, there is marked study heterogeneity. Pupil diameter and gaze entropy demonstrate promise in CWL assessment. Future work will entail the use of artificial intelligence in the form of deep learning and the use of a multisensor platform to accurately measure CWL.

A Multicenter Study Assessing Interventional Pulmonary Fellow Competency in Electromagnetic Navigation Bronchoscopy

Background

Current medical society guidelines recommend a procedural number for obtaining electromagnetic navigational bronchoscopy (ENB) competency and for institutional volume for training.

Objective

To assess learning curves and estimate the number of ENB procedures for interventional pulmonology (IP) fellows to reach competency.

Methods

We conducted a prospective multicenter study of IP fellows in the United States learning ENB. A tool previously validated in a similar population was used to assess IP fellows by their local faculty and two blinded independent reviewers using virtual recording of the procedure. Competency was determined by performing three consecutive procedures with a competency score on the assessment tool. Procedural time, faculty global rating scale, and periprocedural complications were also recorded.

Results

A total of 184 ENB procedures were available for review with assessment of 26 IP fellows at 16 medical centers. There was a high correlation between the two blinded independent observers (rho = 0.8776). There was substantial agreement for determination of procedural competency between the faculty assessment and blinded reviewers (kappa = 0.7074; confidence interval, 0.5667–0.8482). The number of procedures for reaching competency for ENB bronchoscopy was determined (median, 4; mean, 5; standard deviation, 3.83). There was a wide variation in the number of procedures to reach competency, ranging from 2 to 15 procedures. There were six periprocedural complications reported, four (one pneumomediastinum, three pneumothorax) of which occurred before reaching competence and two pneumothoraces after achieving competence.

Conclusion

There is a wide variation in acquiring competency for ENB among IP fellows. Virtual competency assessment has a potential role but needs further studies.

Shape-Sensing Robotic-Assisted Bronchoscopy in the Diagnosis of Pulmonary Parenchymal Lesions

BACKGROUND

The landscape of guided bronchoscopy for the sampling of pulmonary parenchymal lesions is evolving rapidly. Shape-sensing robotic-assisted bronchoscopy (ssRAB) recently was introduced as means to allow successful sampling of traditionally challenging lesions.

RESEARCH QUESTION

What are the feasibility, diagnostic yield, determinants of diagnostic sampling, and safety of ssRAB in patients with pulmonary lesions?

STUDY DESIGN AND METHODS

Data from 131 consecutive ssRAB procedures performed at a US-based cancer center between October 2019 and July 2020 were captured prospectively and analyzed retrospectively. Definitions of diagnostic procedures were based on prior standards. Associations of procedure- and lesion-related factors with diagnostic yield were examined by univariate and multivariate generalized linear mixed models.

RESULTS

A total of 159 pulmonary lesions were targeted during 131 ssRAB procedures. The median lesion size was 1.8 cm, 59.1% of lesions were in the upper lobe, and 66.7% of lesions were beyond a sixth-generation airway. The navigational success rate was 98.7%. The overall diagnostic yield was 81.7%. Lesion size of ≥ 1.8 cm and central location were associated significantly with a diagnostic procedure in the univariate analysis. In the multivariate model, lesions of ≥ 1.8 cm were more likely to be diagnostic compared with lesions < 1.8 cm, after adjusting for lung centrality (OR, 12.22; 95% CI, 1.66-90.10). The sensitivity and negative predictive value of ssRAB for primary thoracic malignancies were 79.8% and 72.4%, respectively. The overall complication rate was 3.0%, and the pneumothorax rate was 1.5%.

INTERPRETATION

This study was the first to provide comprehensive evidence regarding the usefulness and diagnostic yield of ssRAB in the sampling of pulmonary parenchymal lesions. ssRAB may represent a significant advancement in the ability to access and sample successfully traditionally challenging pulmonary lesions via the bronchoscopic approach, while maintaining a superb safety profile. Lesion size seems to remain the major predictor of a diagnostic procedure.