Hand-Held POCUS Lung Imaging Comparable to Full-Sized Systems
|
By MedImaging International staff writers Posted on 08 Oct 2020 |

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
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
Latest Ultrasound News
- Wearable Ultrasound Imaging System to Enable Real-Time Disease Monitoring
- Ultrasound Technique Visualizes Deep Blood Vessels in 3D Without Contrast Agents
- Ultrasound Probe Images Entire Organ in 4D

- Disposable Ultrasound Patch Performs Better Than Existing Devices
- Non-Invasive Ultrasound-Based Tool Accurately Detects Infant Meningitis
- Breakthrough Deep Learning Model Enhances Handheld 3D Medical Imaging
- Pain-Free Breast Imaging System Performs One Minute Cancer Scan
- Wireless Chronic Pain Management Device to Reduce Need for Painkillers and Surgery
- New Medical Ultrasound Imaging Technique Enables ICU Bedside Monitoring
- New Incision-Free Technique Halts Growth of Debilitating Brain Lesions
- AI-Powered Lung Ultrasound Outperforms Human Experts in Tuberculosis Diagnosis
- AI Identifies Heart Valve Disease from Common Imaging Test
- Novel Imaging Method Enables Early Diagnosis and Treatment Monitoring of Type 2 Diabetes
- Ultrasound-Based Microscopy Technique to Help Diagnose Small Vessel Diseases
- Smart Ultrasound-Activated Immune Cells Destroy Cancer Cells for Extended Periods
- Tiny Magnetic Robot Takes 3D Scans from Deep Within Body
Channels
Radiography
view channel
Routine Mammograms Could Predict Future Cardiovascular Disease in Women
Mammograms are widely used to screen for breast cancer, but they may also contain overlooked clues about cardiovascular health. Calcium deposits in the arteries of the breast signal stiffening blood vessels,... Read more
AI Detects Early Signs of Aging from Chest X-Rays
Chronological age does not always reflect how fast the body is truly aging, and current biological age tests often rely on DNA-based markers that may miss early organ-level decline. Detecting subtle, age-related... Read moreMRI
view channel
MRI Scans Reveal Signature Patterns of Brain Activity to Predict Recovery from TBI
Recovery after traumatic brain injury (TBI) varies widely, with some patients regaining full function while others are left with lasting disabilities. Prognosis is especially difficult to assess in patients... Read more
Novel Imaging Approach to Improve Treatment for Spinal Cord Injuries
Vascular dysfunction in the spinal cord contributes to multiple neurological conditions, including traumatic injuries and degenerative cervical myelopathy, where reduced blood flow can lead to progressive... Read more
AI-Assisted Model Enhances MRI Heart Scans
A cardiac MRI can reveal critical information about the heart’s function and any abnormalities, but traditional scans take 30 to 90 minutes and often suffer from poor image quality due to patient movement.... Read more
AI Model Outperforms Doctors at Identifying Patients Most At-Risk of Cardiac Arrest
Hypertrophic cardiomyopathy is one of the most common inherited heart conditions and a leading cause of sudden cardiac death in young individuals and athletes. While many patients live normal lives, some... Read moreNuclear Medicine
view channel
PET Imaging of Inflammation Predicts Recovery and Guides Therapy After Heart Attack
Acute myocardial infarction can trigger lasting heart damage, yet clinicians still lack reliable tools to identify which patients will regain function and which may develop heart failure.... Read more
Radiotheranostic Approach Detects, Kills and Reprograms Aggressive Cancers
Aggressive cancers such as osteosarcoma and glioblastoma often resist standard therapies, thrive in hostile tumor environments, and recur despite surgery, radiation, or chemotherapy. These tumors also... Read more
New Imaging Solution Improves Survival for Patients with Recurring Prostate Cancer
Detecting recurrent prostate cancer remains one of the most difficult challenges in oncology, as standard imaging methods such as bone scans and CT scans often fail to accurately locate small or early-stage tumors.... Read moreGeneral/Advanced Imaging
view channel
AI-Based Tool Predicts Future Cardiovascular Events in Angina Patients
Stable coronary artery disease is a common cause of chest pain, yet accurately identifying patients at the highest risk of future heart attacks or death remains difficult. Standard coronary CT scans show... Read more
AI-Based Tool Accelerates Detection of Kidney Cancer
Diagnosing kidney cancer depends on computed tomography scans, often using contrast agents to reveal abnormalities in kidney structure. Tumors are not always searched for deliberately, as many scans are... Read moreImaging IT
view channel
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
Global AI in Medical Diagnostics Market to Be Driven by Demand for Image Recognition in Radiology
The global artificial intelligence (AI) in medical diagnostics market is expanding with early disease detection being one of its key applications and image recognition becoming a compelling consumer proposition... Read moreIndustry News
view channel
GE HealthCare and NVIDIA Collaboration to Reimagine Diagnostic Imaging
GE HealthCare (Chicago, IL, USA) has entered into a collaboration with NVIDIA (Santa Clara, CA, USA), expanding the existing relationship between the two companies to focus on pioneering innovation in... Read morePatient-Specific 3D-Printed Phantoms Transform CT Imaging
New research has highlighted how anatomically precise, patient-specific 3D-printed phantoms are proving to be scalable, cost-effective, and efficient tools in the development of new CT scan algorithms... Read more
Siemens and Sectra Collaborate on Enhancing Radiology Workflows
Siemens Healthineers (Forchheim, Germany) and Sectra (Linköping, Sweden) have entered into a collaboration aimed at enhancing radiologists' diagnostic capabilities and, in turn, improving patient care... Read more







