Learning curve for endoscopic ultrasound-guided fine-needle aspiration ă (EUS-FNA) of pancreatic lesions in a novel ex-vivo simulation model
J. M. Gonzalez,
J. Cohen,
M. A. Gromski,
K. Saito,
A. Loundou and
K. Matthes
Additional contact information
J. Cohen: CHU Tenon [AP-HP] - AP-HP - Assistance publique - Hôpitaux de Paris (AP-HP) - SU - Sorbonne Université
K. Saito: Kao Group
A. Loundou: SPMC - Santé Publique et maladies Chroniques : Qualité de vie Concepts, Usages et Limites, Déterminants - AMU - Aix Marseille Université - APHM - Assistance Publique - Hôpitaux de Marseille
Post-Print from HAL
Abstract:
Background: Endoscopic ultrasound-guided fine-needle aspiration ă (EUS-FNA) is essential in the management of digestive cancers. However, ă teaching and learning this technique remain challenging due to the lack ă of cost-effective models. ă Material and methods: This was a prospective experimental study using a ă complete porcine upper gastrointestinal ex-vivo organ package, placed in ă an Erlangen Active Simulator for Interventional Endoscopy (EASIE-R), and ă prepared with one cyst and two solid masses (2cm). Five fellows ă inexperienced in EUS-FNA were enrolled, performing 10 procedures on each ă lesion, alternatively. The total time, number of attempts for success, ă of needle view losses, and of scope handling were recorded, associated ă with an independent skills rating by procedure. We compared the first 15 ă procedures with the last 15 for each fellow. ă Results: The fellows successfully performed all procedures in 2 to 40 ă minutes, requiring 1 to 6 attempts. All (5/5) improved their total time ă taken (P
Keywords: quality (search for similar items in EconPapers)
Date: 2016-12
References: Add references at CitEc
Citations:
Published in Endoscopy International Open, 2016, 4 (12), pp.E1286-E1291. ⟨10.1055/s-0042-118176⟩
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-01482377
DOI: 10.1055/s-0042-118176
Access Statistics for this paper
More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().