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Learning Curve of C-Arm Cone-beam Computed Tomography Virtual. Navigation-Guided Percutaneous Transthoracic Needle Biopsy

Cited 6 time in Web of Science Cited 7 time in Scopus
Authors

Ahn, Su Yeon; Park, Chang Min; Yoon, Soon Ho; Kim, Hyungjin; Goo, Jin Mo

Issue Date
2019-05
Publisher
대한영상의학회
Citation
Korean Journal of Radiology, Vol.20 No.5, pp.844-853
Abstract
Objective: To evaluate the learning curve for C-arm cone-beam computed tomography (CBCT) virtual navigation-guided percutaneous transthoracic needle biopsy (PTNB) and to determine the amount of experience needed to develop appropriate skills for this procedure using cumulative summation (CUSUM). Materials and Methods: We retrospectively reviewed 2042 CBCT virtual navigation-guided PTNBs performed by 7 novice operators between March 2011 and December 2014. Learning curves for CBCT virtual navigation-guided PTNB with respect to its diagnostic performance and the occurrence of biopsy-related pneumothorax were analyzed using standard and risk-adjusted CUSUM (RA-CUSUM). Acceptable failure rates were determined as 0.06 for diagnostic failure and 0.25 for PTNB-related pneumothorax. Results: Standard CUSUM indicated that 6 of the 7 operators achieved an acceptable diagnostic failure rate after a median of 105 PTNB procedures (95% confidence interval [CI], 14-240), and 6 of the operators achieved acceptable pneumothorax occurrence rate after a median of 79 PTNB procedures (95% CI, 27-155). RA-CUSUM showed that 93 (95% CI, 39-142) and 80 (95% CI, 38-127) PTNB procedures were required to achieve acceptable diagnostic performance and pneumothorax occurrence, respectively. Conclusion: The novice operators' skills in performing CBCT virtual navigation-guided PTNBs improved with increasing experience over a wide range of learning periods.
ISSN
1229-6929
URI
https://hdl.handle.net/10371/208917
DOI
https://doi.org/10.3348/kjr.2018.0555
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  • College of Medicine
  • Department of Medicine
Research Area Radiology

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