School of Mathematics and Statistics - Research Publications

Permanent URI for this collection

http://hdl.handle.net/11343/294

Filters

2021 1
1
Reset filters

Settings
Statistics
Citations
Start date: 2020 × End date: 2022 × Author: Hepworth, Graham × Author: McDonald, Christine × Author: Coles-Black, Jasamine ×

Search Results

Now showing 1 - 1 of 1
  • Item
    Thumbnail Image
    Teaching Radial Endobronchial Ultrasound with a Three-Dimensional-printed Radial Ultrasound Model
    Ridgers, A ; Li, J ; Coles-Black, J ; Jiang, M ; Chen, G ; Chuen, J ; McDonald, CF ; Hepworth, G ; Steinfort, DP ; Irving, LB ; Wallbridge, P ; Jennings, BR ; Phan, N ; Leong, TL (AMER THORACIC SOC, 2021-12)
    BACKGROUND: Peripheral pulmonary lesion (PPL) incidence is rising because of increased chest imaging sensitivity and frequency. For PPLs suspicious for lung cancer, current clinical guidelines recommend tissue diagnosis. Radial endobronchial ultrasound (R-EBUS) is a bronchoscopic technique used for this purpose. It has been observed that diagnostic yield is impacted by the ability to accurately manipulate the radial probe. However, such skills can be acquired, in part, from simulation training. Three-dimensional (3D) printing has been used to produce training simulators for standard bronchoscopy but has not been specifically used to develop similar tools for R-EBUS. OBJECTIVE: We report the development of a novel ultrasound-compatible, anatomically accurate 3D-printed R-EBUS simulator and evaluation of its utility as a training tool. METHODS: Computed tomography images were used to develop 3D-printed airway models with ultrasound-compatible PPLs of "low" and "high" technical difficulty. Twenty-one participants were allocated to two groups matched for prior R-EBUS experience. The intervention group received 15 minutes to pretrain R-EBUS using a 3D-printed model, whereas the nonintervention group did not. Both groups then performed R-EBUS on 3D-printed models and were evaluated using a specifically developed assessment tool. RESULTS: For the "low-difficulty" model, the intervention group achieved a higher score (21.5 ± 2.02) than the nonintervention group (17.1 ± 5.7), reflecting 26% improvement in performance (P = 0.03). For the "high-difficulty" model, the intervention group scored 20.2 ± 4.21 versus 13.3 ± 7.36, corresponding to 52% improvement in performance (P = 0.02). Participants derived benefit from pretraining with the 3D-printed model, regardless of prior experience level. CONCLUSION: 3D-printing can be used to develop simulators for R-EBUS education. Training using these models significantly improves procedural performance and is effective in both novice and experienced trainees.