Developing competency in video-assisted thoracic surgery (VATS) lobectomy

What's new in minimally invasive thoracic surgery? Clinical application of augmented reality and learning opportunities in surgical simulation

Lung cancer represents the most lethal cancer worldwide. Surgery is the treatment of choice for early-stage non-small cell lung cancer, with an overall survival that can reach 90% at 5 years, but its detection is difficult to achieve due to the lack of symptoms. Screening programs are crucial to identify small cancer. Minimally invasive surgery has modified the therapeutical approach of these tumors, becoming the standard of care, with an important clinical yield in terms of reduction of postoperative pain and length of hospital stay. The aim of this mini-review is to explore and describe two important and innovative aspects in the context of "growing opportunities in minimally invasive thoracic surgery": the clinical application of augmented reality and its advantages for patient and surgeon, and the pedagogical issue through simulation-based training.

Assessing VATS competence based on simulated lobectomies of all five lung lobes

OBJECTIVES

To determine the number of procedures and expert raters necessary to provide a reliable assessment of competence in Video-Assisted Thoracoscopic Surgery (VATS) lobectomy.

METHODS

Three randomly selected VATS lobectomies were performed on a virtual reality simulator by participants with varying experience in VATS. Video recordings of the procedures were independently rated by three blinded VATS experts using a modified VATS lobectomy assessment tool (VATSAT). The unitary framework of validity was used to describe validity evidence, and generalizability theory was used to explore the reliability of different assessment options.

RESULTS

Forty-one participants (22 novices, 10 intermediates, and 9 experienced) performed a total of 123 lobectomies. Internal consistency reliability, inter-rater reliability, and test-retest reliability were 0.94, 0.85, and 0.90, respectively. Generalizability theory found that a minimum of two procedures and four raters or three procedures and three raters were needed to ensure the overall reliability of 0.8. ANOVA showed significant differences in test scores between the three groups (P < 0.001). A pass/fail level of 19 out of 25 points was established using the contrasting groups' standard setting method, leaving one false positive (one novice passed) and zero false negatives (all experienced passed).

CONCLUSION

We demonstrated validity evidence for a VR simulator test with different lung lobes, and a credible pass/fail level was identified. Our results can be used to implement a standardized mastery learning training program for trainees in VATS lobectomies that ensures that everyone reaches basic competency before performing supervised operations on patients.

Simulation-based VATS resection of the five lung lobes: a technical skills test

BACKGROUND

Video-Assisted Thoracoscopic Surgery (VATS) lobectomy is an advanced procedure and to maximize patient safety it is important to ensure the competency of thoracic surgeons before performing the procedure. The objective of this study was to investigate validity evidence for a virtual reality simulator-based test including multiple lobes of the lungs.

METHOD

VATS experts from the department of Cardiothoracic Surgery at Rigshospitalet, Copenhagen, Denmark, worked with Surgical Science (Gothenburg, Sweden) to develop VATS lobectomy modules for the LapSim^® virtual reality simulator covering all five lobes of the lungs. Participants with varying experience in VATS were recruited and classified as either novice, intermediate, or experienced surgeons. Each participant performed VATS lobectomy on the simulator for three different randomly chosen lobes. Nine predefined simulator metrics were automatically recorded on the simulator.

RESULTS

Twenty-two novice, ten intermediate, and nine experienced surgeons performed the test resulting in a total of 123 lobectomies. Analysis of Variances (ANOVA) found significant differences between the three groups for parameters: blood loss (p < 0.001), procedure time (p < 0.001), and total instrument path length (p = 0.03). These three metrics demonstrated high internal consistency and significant test-retest reliability was found between each of them. Relevant pass/fail levels were established for each of the three metrics, 541 ml, 30 min, and 71 m, respectively.

CONCLUSION

This study provides validity evidence for a simulator-based test of VATS lobectomy competence including multiple lobes of the lungs. The test can be used to ensure basic competence at the end of a simulation-based training program for thoracic surgery trainees.

Structured and evidence-based training of technical skills in respiratory medicine and thoracic surgery

Within the last decade, the number of technical procedures in respiratory medicine and thoracic surgery has grown and created a higher demand for effective and evidence-based education. Today, trainees are often allowed to perform procedures unsupervised on patients after obtaining a course certificate from a theoretic course and having performed a fixed number of supervised procedures. However, these methods do not ensure adequate competence. Well-structured and effective educational programmes including validated tests are needed to reduce economic expenses, optimize time spend, and ensure patient safety. The aim of this article is to summarize current state of educational strategies for technical procedures within respiratory medicine and thoracic surgery. Thus, to discuss future recommendations for curriculum development and assessment of competences based on Kern’s framework. The approach by Kern consists of six topics, which needs to be considered and evaluated and in order to educate physicians and surgeons most effective and evidence-based. We present a practical guide contributing to future educators’ considerations on (I) problem identification and general needs assessment, (II) targeted needs assessment, (III) goals and objectives, (IV) educational strategies, (V) implementation, and finally (VI) evaluation and feedback.

Proctor-guided virtual reality-enhanced three-dimensional video-assisted thoracic surgery: an excellent tutoring model for lung segmentectomy

OBJECTIVE

Lung segmentectomy using video-assisted thoracoscopic surgery (VATS) is an effective strategy to treat early-stage lung cancer. The objective of this case report is to show the efficacy of Hyper Accuracy 3D™ (HA3D) reconstruction as a tool for trainee surgeons and expert surgeons to perform complex procedures.

METHODS

An 84-year-old man was treated for colon-rectal cancer. During follow-up, a pulmonary nodule on the right anterior upper lobe suspected for intestinal metastasis was revealed by a computed tomography scan. According to functional tests and radiology, a right anterior upper lobe segmentectomy was planned. HA3D lung reconstruction was used during surgery.

RESULTS

Using the HA3D virtual model, the procedure was performed with healthy tissue sparing, ensuring safe resection margins. No postoperative morbidities were noted. The patient referred good pain control. The hospital stay was 6 days.

CONCLUSIONS

VATS segmentectomy is a technically demanding procedure. HA3D lung reconstruction can help surgeons effectively perform the resection, aiding at individuating intersegmental planes, bronchi, and vessels, guaranteeing oncologic radicality and safe surgical margins, and preserving respiratory function.