This novel tip-tracked EMN system incorporating both ENB and EMTTNA can guide biopsy and FM placement with a high degree of success and with a low complication rate. Multicentered prospective trials are required to develop algorithmic approaches to combine ENB and EMTTNA into a single procedure.
Background: Screen detected and incidental pulmonary nodules are increasingly common. Current guidelines recommend tissue sampling of solid nodules >8 mm. Bronchoscopic biopsy poses the lowest risk but is paired with the lowest diagnostic yield when compared to CT-guided biopsy or surgery. A need exists for a safe, mobile, low radiation dose, intra-procedural method to localize biopsy instruments within target nodules. This retrospective cross sectional reader feasibility study evaluates the ability of clinicians to identify pulmonary nodules using a prototype carbon nanotube radiation enabled stationary digital chest tomosynthesis system.Methods: Patients with pulmonary nodules on prior CT imaging were recruited and consented for imaging with stationary digital chest tomosynthesis. Five pulmonologists of varying training levels participated as readers. Following review of patient CT and a thoracic radiologist's interpretation of nodule size and location the readers were tasked with interpreting the corresponding tomosynthesis scan to identify the same nodule found on CT.Results: Fifty-five patients were scanned with stationary digital chest tomosynthesis. The median nodule size was 6 mm (IQR =4-13 mm). Twenty nodules (37%) were greater than 8 mm. The radiation entrance dose for s-DCT was 0.6 mGy. A significant difference in identification of nodules using s-DCT was seen for nodules <8 vs. ≥8 mm in size (57.7% vs. 90.9%, CI: −0.375, −0.024; P<0.001). Inter-reader agreement was fair, and better for nodules ≥8 mm [0.278 (SE =0.043)].
Conclusions:With system and carbon nanotube array optimization, we hypothesize the detection rate for nodules will improve. Additional study is needed to evaluate its use in target and tool co-localization and target biopsy.
Background
Flexible bronchoscopy is an essential tool in diagnosing and managing pulmonary diseases. However, there is limited capacity for bronchoscopy in low and middle income countries (LMICs). In 2019, a pilot program for flexible bronchoscopy training was launched for local physicians in Kampala, Uganda. We then conducted a follow up multimodal bronchoscopy course after 2 years.
Objective
The aim of this study is to assess a longitudinal multimodal bronchoscopy training in an LMIC setting.
Methods
A multimodal follow up curriculum was developed with pulmonologists from Uganda and the United States. The training was delivered to Ugandan providers who attended previous bronchoscopy training and new participants. The training included a prepared curriculum consisting of lectures, simulations, and deliberate practice-based proctoring. A 12-question multiple-choice exam was administered at the beginning and end of the course, assessing knowledge. Procedural competency was measured using a validated assessment tool called the BSTAT (Bronchoscopic Skills and Tasks Assessment Tool). Results were analyzed to evaluate the retention of knowledge among those who took part in previous training and the efficacy of the follow-up curriculum for participants without previous training.
Results
Among the participants who attended didactic training in 2022 (11), mean exam scores were improved after training, from 43.9 (standard deviation [SD], 11.3) to 59.8 (SD, 16.1) (mean difference [MD], +15.9; SD, 13.9;
P
= 0.008), but were lower compared with post didactic scores in 2019: 90.8 (SD, 6.1; MD, −31;
P
< 0.0001). Participants who completed BSTAT assessments (8) had mean scores similar in 2019 and 2022, at 72.1 and 75.2, respectively (MD, 3.1;
P
= 0.38).
Conclusion
This study provides an example of how a longitudinal multimodal bronchoscopy curriculum can improve competency and proficiency for local physicians in an LMIC.
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