We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
GLOBETECH PUBLISHING LLC

GE Healthcare

GE Healthcare provides medical imaging and information technologies, medical diagnostics, patient monitoring systems,... read more Featured Products: More products

Download Mobile App




Hand-Held POCUS Lung Imaging Comparable to Full-Sized Systems

By MedImaging International staff writers
Posted on 08 Oct 2020
Print article
Image: The Butterfly iQ point of care ultrasound scanner (Photo courtesy of Butterfly Network)
Image: The Butterfly iQ point of care ultrasound scanner (Photo courtesy of Butterfly Network)
A pocket-sized point-of-care ultrasound (POCUS) scanner powered by a smartphone works as well as a cart-based scanner for lung imaging of patients with COVID-19, according to a new study.

Researchers at Azienda Ospedaliera Universitaria Senese (AOUS, Siena, Italy) and the University of Siena (Italy) conducted a study to evaluate how the Butterfly iQ, a small POCUS scanner made by Butterfly Network (New York, NY, USA), compares to a standard high-end ultrasound scanner, the Venue GO, a cart-based scanner made by GE Healthcare (Chicago, IL, USA), in the evaluation of lung involvement in patients with COVID-19 pneumonia.

In all, 437 paired lung ultrasound readings were performed on 34 patients hospitalized with COVID-19. The lung ultrasound scans were conducted on the same day, with 14 scans performed on severe, 11 on moderate, and nine on mild COVID-19 patients. No significant differences were found between the high-end and the portable POCUS scanner, with lung ultrasound scores in the patients with mild respiratory impairment significantly lower than in the moderate and severe patients. The study was published on September 21, 2020, in Ultrasound in Medicine and Biology.

“The results of the portable scanner were practically identical to the high-end scanner in the assessment of lung interstitial syndrome,” concluded lead author David Bennett, MD, and colleagues. “In addition, the scores were comparable for most individual pulmonary regions, including the left and right side and vertical location. A small difference was found between the systems for horizontal position, and a practically negligible difference in the posterior side of the thorax.”

The Butterfly iQ is a multi-mode (M-mode, B-mode, and Color Doppler) ultrasound device less than 15 centimeters long and weighing just 313 grams. It is powered by capacitive micro-machined ultrasonic transducer (CMUT) technology, which replaces the traditional piezoelectric transducer with a single silicon chip that incorporates an array of 9,000 programmable microelectromechanical systems (MEMS) sensors. An integrated 400 mAh Lithium Ion Battery provides up to two hours of continuous use. The Butterfly iQ connects via a USB or lightening cable to a standard handheld Apple iPhone or iPad mobile device.

Related Links:
Azienda Ospedaliera Universitaria Senese
University of Siena
Butterfly Network
GE Healthcare


New
Gold Member
X-Ray QA Meter
T3 AD Pro
New
DRF DR & Remote Fluoroscopy Solution
CombiDiagnost R90
New
Ultrasound Scanner
TBP-5533
New
Digital X-Ray Detector Panel
Acuity G4

Print article
Radcal

Channels

Radiography

view channel
Image: The new X-ray detector produces a high-quality radiograph (Photo courtesy of ACS Central Science 2024, DOI: https://doi.org/10.1021/acscentsci.4c01296)

Highly Sensitive, Foldable Detector to Make X-Rays Safer

X-rays are widely used in diagnostic testing and industrial monitoring, from dental checkups to airport luggage scans. However, these high-energy rays emit ionizing radiation, which can pose risks after... Read more

MRI

view channel
Image: Artificial intelligence models can be trained to distinguish brain tumors from healthy tissue (Photo courtesy of 123RF)

AI Can Distinguish Brain Tumors from Healthy Tissue

Researchers have made significant advancements in artificial intelligence (AI) for medical applications. AI holds particular promise in radiology, where delays in processing medical images can often postpone... Read more

Nuclear Medicine

view channel
Image: Example of AI analysis of PET/CT images (Photo courtesy of Academic Radiology; DOI: 10.1016/j.acra.2024.08.043)

AI Analysis of PET/CT Images Predicts Side Effects of Immunotherapy in Lung Cancer

Immunotherapy has significantly advanced the treatment of primary lung cancer, but it can sometimes lead to a severe side effect known as interstitial lung disease. This condition is characterized by lung... Read more

General/Advanced Imaging

view channel
Image: Cleerly offers an AI-enabled CCTA solution for personalized, precise and measurable assessment of plaque, stenosis and ischemia (Photo courtesy of Cleerly)

AI-Enabled Plaque Assessments Help Cardiologists Identify High-Risk CAD Patients

Groundbreaking research has shown that a non-invasive, artificial intelligence (AI)-based analysis of cardiac computed tomography (CT) can predict severe heart-related events in patients exhibiting symptoms... Read more

Imaging IT

view channel
Image: The new Medical Imaging Suite makes healthcare imaging data more accessible, interoperable and useful (Photo courtesy of Google Cloud)

New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible

Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.