Characterizing a learning curve for robotic-assisted bronchoscopy: Analysis of skills acquisition in a high-volume academic center

Shape-sensing robotic-assisted bronchoscopy is an emerging technology for the sampling of pulmonary lesions. We seek to characterize the shape-sensing robotic-assisted bronchoscopy learning curve at an academic center. Shape-sensing robotic-assisted bronchoscopy procedures performed by 9 procedurali...

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Veröffentlicht in:The Journal of thoracic and cardiovascular surgery 2025-01, Vol.169 (1), p.269-278.e6
Hauptverfasser: Bott, Matthew J., Toumbacaris, Nicolas, Tan, Kay See, Husta, Bryan C., Medina, Benjamin D., Adusumilli, Prasad S., Beattie, Jason A., Lee, Robert P., Park, Bernard J., Dycoco, Joseph, Jones, David R., Chawla, Mohit, Rocco, Gaetano, Kalchiem-Dekel, Or
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Sprache:eng
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Zusammenfassung:Shape-sensing robotic-assisted bronchoscopy is an emerging technology for the sampling of pulmonary lesions. We seek to characterize the shape-sensing robotic-assisted bronchoscopy learning curve at an academic center. Shape-sensing robotic-assisted bronchoscopy procedures performed by 9 proceduralists at a single institution were analyzed. Cumulative sum analyses were performed to examine diagnostic sampling and procedure time over each operator’s first 50 cases, with the acceptable yield threshold set to 73%. During the study period, 442 patients underwent sampling of 551 lesions. Each operator sampled 61 lesions (interquartile range, 60-63 lesions). Lesion size was 1.90 cm (interquartile range, 1.33-2.80 cm). The median procedure time for single-target cases decreased from 62 minutes during the first 10 cases to 39 minutes after case 40 (P 
ISSN:0022-5223
1097-685X
1097-685X
DOI:10.1016/j.jtcvs.2024.06.018