Automated 3D Computed Tomography Bronchography and Angiography as a Useful Tool for the Clinical Medicine Education of Lung Segmentectomy

Abstract

Objective

As pulmonary segmentectomy becomes increasingly common in the treatment of early-stage lung cancer, providing relevant clinical training for residents is essential. However, understanding pulmonary segment anatomy can be challenging due to its complex and variable structures. This study aimed to evaluate the value of automated three-dimensional CT bronchography and angiography (3D-CTBA) technology in training surgical residents for segmentectomy.

Methods

Fifty-two surgical residents were randomized into 2 groups: the 3D-CTBA group and the control group. The 3D-CTBA group utilized automated 3D-CTBA technology alongside specific case for segmentectomy training, while the control group relied on traditional teaching methods. After the training sessions, all participants completed a post-training assessment and questionnaires. Additionally, we collected feedback from instructors regarding the residents’ performance through a separate questionnaire.

Results

Residents in the 3D-CTBA group achieved significantly higher scores on the post-training assessments than those in the control group (83.46 ± 6.75 vs 68.27 ± 8.12, P < 0.001). Subjective survey results indicated that automated 3D-CTBA technology greatly benefited residents in preoperatively identifying tumor locations, recognizing anatomical variations during surgery, and mastering relevant surgical techniques. Feedback from instructors indicated that residents in the 3D-CTBA group performed better intraoperatively than those in the control group. Furthermore, residents in the 3D-CTBA group expressed greater interest in learning and higher satisfaction with the course.

Conclusions

Automated 3D-CTBA technology significantly improved residents’ comprehension of the complex and variable anatomy of pulmonary segments, thereby enhancing their related surgical skills.