BACKGROUND: Although lung ultrasound (US) is accurate in diagnosing pneumothorax (PTX), the training requirements and methods necessary to perform US examinations must be defined. OBJECTIVE: Our aim was to test whether animal laboratory training (ALT) improves the diagnostic competency and speed of PTX detection with US. METHODS: Twenty medical students without lung US experience attended a 1-day course. Didactic, practical, and experimental lectures covered the basics of US physics, US machines, and lung US, followed by hands-on training to demonstrate the signs of normal lung sliding and PTX. Each student's diagnostic skill level was tested with three subsequent examinations (at day 1, day 2, and 6-month follow-up) using experimentally induced PTX in porcine models. The outcome measures were sensitivity and specificity for US detection of PTX, self-reported diagnostic confidence, and scan time. RESULTS: The students improved their skills between the initial two examinations: sensitivity increased from 81.7% (range 69.1%-90.1%) to 100.0% (range 94.3%-100.0%) and specificity increased from 90.0% (range 82.0%-94.8%) to 98.9% (range 92.3%-100.0%); with no deterioration 6 months later. There was a significant learning curve in choosing the correct answers (p = 0.018), a 1-point increase in the self-reported diagnostic confidence (7.8-8.8 on a 10-point scale; p < 0.05), and a 1-min reduction in the mean scan time per lung (p < 0.05). CONCLUSIONS: Without previous experience and after undergoing training in an animal laboratory, medical students improved their diagnostic proficiency and speed for PTX detection with US. Lung US is a basic technique that can be used by novices to accurately diagnose PTX.
BACKGROUND: Although lung ultrasound (US) is accurate in diagnosing pneumothorax (PTX), the training requirements and methods necessary to perform US examinations must be defined. OBJECTIVE: Our aim was to test whether animal laboratory training (ALT) improves the diagnostic competency and speed of PTX detection with US. METHODS: Twenty medical students without lung US experience attended a 1-day course. Didactic, practical, and experimental lectures covered the basics of US physics, US machines, and lung US, followed by hands-on training to demonstrate the signs of normal lung sliding and PTX. Each student's diagnostic skill level was tested with three subsequent examinations (at day 1, day 2, and 6-month follow-up) using experimentally induced PTX in porcine models. The outcome measures were sensitivity and specificity for US detection of PTX, self-reported diagnostic confidence, and scan time. RESULTS: The students improved their skills between the initial two examinations: sensitivity increased from 81.7% (range 69.1%-90.1%) to 100.0% (range 94.3%-100.0%) and specificity increased from 90.0% (range 82.0%-94.8%) to 98.9% (range 92.3%-100.0%); with no deterioration 6 months later. There was a significant learning curve in choosing the correct answers (p = 0.018), a 1-point increase in the self-reported diagnostic confidence (7.8-8.8 on a 10-point scale; p < 0.05), and a 1-min reduction in the mean scan time per lung (p < 0.05). CONCLUSIONS: Without previous experience and after undergoing training in an animal laboratory, medical students improved their diagnostic proficiency and speed for PTX detection with US. Lung US is a basic technique that can be used by novices to accurately diagnose PTX.
Authors: Richard A Hoppmann; Jeanette Mladenovic; Lawrence Melniker; Radu Badea; Michael Blaivas; Miguel Montorfano; Alfred Abuhamad; Vicki Noble; Arif Hussain; Gregor Prosen; Tomás Villen; Gabriele Via; Ramon Nogue; Craig Goodmurphy; Marcus Bastos; G Stephen Nace; Giovanni Volpicelli; Richard J Wakefield; Steve Wilson; Anjali Bhagra; Jongyeol Kim; David Bahner; Chris Fox; Ruth Riley; Peter Steinmetz; Bret P Nelson; John Pellerito; Levon N Nazarian; L Britt Wilson; Irene W Y Ma; David Amponsah; Keith R Barron; Renee K Dversdal; Mike Wagner; Anthony J Dean; David Tierney; James W Tsung; Paula Nocera; José Pazeli; Rachel Liu; Susanna Price; Luca Neri; Barbara Piccirillo; Adi Osman; Vaughan Lee; Nitha Naqvi; Tomislav Petrovic; Paul Bornemann; Maxime Valois; Jean-Francoise Lanctot; Robert Haddad; Deepak Govil; Laura A Hurtado; Vi Am Dinh; Robert M DePhilip; Beatrice Hoffmann; Resa E Lewiss; Nayana A Parange; Akira Nishisaki; Stephanie J Doniger; Paul Dallas; Kevin Bergman; J Oscar Barahona; Ximena Wortsman; R Stephen Smith; Craig A Sisson; James Palma; Mike Mallin; Liju Ahmed; Hassan Mustafa Journal: Ultrasound J Date: 2022-07-27