Video
Abbreviation: EPOK, Educational Program of Kindai system
EUS is currently regarded as a tool that enables not only observation but also diagnosis and treatment. The basis of all EUS-related procedures is the EUS screening technique. However, it can be challenging for trainees to master the technique. Several studies have investigated training methods for EUS screening that are based on memorization of typical EUS images.1 Hands-on training also is considered useful.2, 3, 4, 5 The American Society for Gastrointestinal Endoscopy guidelines suggest that at least 225 hands-on EUS procedures are required to achieve competency in biliopancreatic EUS.6, 7, 8, 9 However, the experience of numerous practical sessions does not guarantee the acquisition of techniques, owing to individual differences in learning.
Herein, we demonstrate a novel and effective EUS training program that enables visualization of the learning curve of a trainee in every training session through evaluation of whether a typical EUS image could be identified and how it was identified (Video 1, available online at www.giejournal.org). This program was designed to screen for biliopancreatic organs and does not include measures for mediastinal screening.
The Educational Program of Kindai (EPOK) is a unique systematic screening protocol with a scoring system. The EPOK uses 20 typical EUS images (KINDAI 20) that represent anatomical landmarks: 11 from the stomach, 7 from the duodenum bulb (D1), and 2 from the duodenum second portion (D2) (Figs. 1 and 2). These 20 stations were selected based on the assumption that the 20 EUS images cover the entire pancreatic gland and extrahepatic biliary tree. Before starting EUS training, trainees were instructed to study the EUS stations for 1 to 2 months, with reference to an atlas and EUS recordings. After commencing EUS training, the trainer provided only verbal instructions to the trainees and scored them according to the score sheet during each EUS examination (Fig. 3).
The left section of the score sheet shows the protocol number and the observation site (eg, No. 1–11 are for stomach observation), and the right section of the sheet shows the trainee’s score for each part. If the trainee could detect the image without instruction, the score was 2; if the trainee could detect the image after receiving instruction, the score was 1. If the trainee could not detect the image even with instruction, the score was 0 (Fig. 4). If the trainee detected all 20 images without instructions, 40 points were awarded. In EPOK, proficiency in EUS screening was defined as achieving a perfect score (40 points) in 3 separate examinations.
Score sheets were used to calculate the total score for each examination a trainee performed. By regularly plotting a graph of the individual’s total scores, the learning curve of the trainee can be visualized, and motivation to aim for a perfect score can be generated (Fig. 5).
The trainer provides feedback after each test, recording it in the notes section of the score sheet. The feedback indicates to the trainee “what to watch out for” and “what to fix” in the next examination. The trainee is required to review the reasons for low scores (0/1) and prepare for the next examination.
In summary, although multicenter prospective studies are required to confirm the reliability and reproducibility of the scoring system, it seems notable that the EPOK enables the visualization of a trainee’s learning curve, pointing out difficult areas. This visualization helps both the trainer and trainee to structure learning and teaching methods in real time.
Disclosure
All authors disclosed no financial relationships.
Footnotes
If you would like to chat with an author of this article, you may contact Dr Takenaka at mamoxyo45@gmail.com.
Supplementary data
References
- 1.Irisawa A., Yamao K. Curved linear array EUS technique in the pancreas and biliary tree: focusing on the stations. Gastrointest Endosc. 2009;69:S84–S89. doi: 10.1016/j.gie.2008.12.006. [DOI] [PubMed] [Google Scholar]
- 2.Bar-Meir S. A new endoscopic simulator. Endoscopy. 2000;32:898–900. doi: 10.1055/s-2000-8088. [DOI] [PubMed] [Google Scholar]
- 3.Barthet M., Gasmi M., Boustiere C., et al. EUS training in a live pig model: does it improve echo endoscope hands-on and trainee competence? Endoscopy. 2007;39:535–539. doi: 10.1055/s-2007-966336. [DOI] [PubMed] [Google Scholar]
- 4.Burmester E., Leineweber T., Hacker S., et al. EUS meets Voxel-Man: three-dimensional anatomic animation of linear-array endoscopic ultrasound images. Endoscopy. 2004;36:726–730. doi: 10.1055/s-2004-825669. [DOI] [PubMed] [Google Scholar]
- 5.Jenssen C., Annema J.T., Clementsen P., et al. Ultrasound techniques in the evaluation of the mediastinum, part 2: mediastinal lymph node anatomy and diagnostic reach of ultrasound techniques, clinical work up of neoplastic and inflammatory mediastinal lymphadenopathy using ultrasound techniques and how to learn mediastinal endosonography. J Thorac Dis. 2015;7:E439–E458. doi: 10.3978/j.issn.2072-1439.2015.10.08. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Faulx A.L., Lightdale J.R., Acosta R.D., et al. Guidelines for privileging, credentialing, and proctoring to perform GI endoscopy. Gastrointest Endosc. 2017;85:273–281. doi: 10.1016/j.gie.2016.10.036. [DOI] [PubMed] [Google Scholar]
- 7.Wani S., Coté G.A., Keswani R., et al. Learning curves for EUS by using cumulative sum analysis: implications for American Society for Gastrointestinal Endoscopy recommendations for training. Gastrointest Endosc. 2013;77:558–565. doi: 10.1016/j.gie.2012.10.012. [DOI] [PubMed] [Google Scholar]
- 8.Wani S., Han S., Simon V., et al. Setting minimum standards for training in EUS and ERCP: results from a prospective multicenter study evaluating learning curves and competence among advanced endoscopy trainees. Gastrointest Endosc. 2019;89:1160–1168.e9. doi: 10.1016/j.gie.2019.01.030. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Wani S., Wallace M.B., Cohen J., et al. Quality indicators for EUS. Gastrointest Endosc. 2015;81:67–80. doi: 10.1016/j.gie.2014.07.054. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.