Senior physician, PhD, clinical lecturer, chairman
Stefan Posth
Emergency Medicine
| Projekt styring | ||
| Projekt status | Open | |
| Data indsamlingsdatoer | ||
| Start | 16.03.2023 | |
| Slut | 16.06.2023 | |
Comparison of automatic ejection fraction assessment between handheld and mid-range ultrasound devices.
Short summary
The purpose of this study was to assess GE venue R2, a midrange ultrasound device and Butterfly IQ, a handheld one, and their automated measurement of LVEF by two observers: a novice operator (operator 1) and an ultrasound specialist (operator 2). The assessment was done regarding general clinical usability therewithin time consumption, image quality and correlation in ejection fraction (EF) measurements both between the machines and the observers, in an emergency room setting. A hundred fifty p
Rationale
The left ventricle ejection fraction (LVEF) is one of the most important indices when assessing cardiac function. Echocardiography is the main imaging modality for the ejection fraction (EF) measurement. Due to its low cost, non-invasivity, and ease of access, it is an essential diagnostic component in different clinical settings. However, the manual assessment of the EF is both time-consuming and known to be an operator-variable. AI-enabled automated algorithms are emerging and seen as a promising solution for these obstacles, gaining a larger audience of medical professionals seeking to exploit their usability and accuracy. In today's market, there are many types of ultrasound machines using AI algorithms, such devices are available from various manufacturers and are now in reduced size thanks to the advancement of technology. The smaller portable machines are rising to the horizon and competing with the conventional cart-based ones since they are more convenient size- and price-wise, but this is not without its limitations. This study aims to assess two apparatuses: a smaller, handheld ultrasound device, "the butterfly" and a bigger, mid-range one" the GE venue R2". This was done using their auto-EF algorithms in an emergency room setting, done by a single operator that is naïve to the modality and comparing the two devices regarding clinical usability; correlation in results, image quality, time per scan in both machines as well as interobserver variability correlation.
Description of the cohort
Participants included in the study are patients over the age of 18 that are admitted to the emergency room at OUH for any medical reason.
Data and biological material
No biological material has been or will be collected. The data that is being collected are sex, age, weight, height, cardiac pumping function (ejection fraction) and personal number (CPR number) . As well as the reason for admission, acquired from the patient's journal.