A Novel Training Model to Improve Diagnostic Accuracy of Cervical Fine-Needle Aspiration.

ABSTRACT:

Introduction

This study aims to improve the diagnostic yield of cervical fine-needle aspiration (FNA) through training on a novel liver model. Ultrasonography-guided fine-needle aspiration (US-FNA) is crucial for diagnosing head and neck lumps but requires meticulous execution. Limited resources often hinder systematic teaching, making practical models essential for training.

Methods

Fifteen otorhinolaryngology residents trained using a liver model with inserted Sensorium spheres to simulate cervical masses. The training involved viewing an instructional video, performing US-FNA on the model, and completing pre- and posttraining self-assessments. Performance was evaluated using visual analog scales (VAS), an adapted version of objective structured assessment of ultrasound sk

SUBMITTER: Anschuetz L 

PROVIDER: S-EPMC11907678 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature