Smartphone App Offers Alternative to CV Ultrasound Scan
By MedImaging International staff writers Posted on 13 Sep 2017 |

Image: A new study has shown that a new smartphone app, together with the phone’s camera, can be used to effectively measure blood-flow pressure waveforms in the CV system (Photo courtesy of RD Mag).
The results of a clinical trial have shown that a new smartphone application, together with the phone’s camera, can be used to effectively measure blood-flow pressure waveforms in the cardiovascular system.
The technique that provides detailed information about cardiac health, involves simply holding a smartphone over the neck of the patient for one or two minutes. This compares with a 45-minute echocardiography ultrasound scan, or a costly Magnetic Resonance Imaging (MRI) scan for measuring the Left Ventricular Ejection Fraction (LVEF).
The results of the proof-of-concept clinical trial were published by researchers from the California Institute of Technology (Caltech), Huntington Medical Research Institute (Pasadena, CA, USA) and the University of Southern California (USC; Los Angeles, CA, USA), in the July 2017 issue of the journal Critical Care Medicine.
The new technique measures how much the carotid artery displaces the skin on the neck during a heartbeat, and infers the cardiac LVEF. The study included 72 volunteer patients all of whom underwent the smartphone LVEF exam, followed by an MRI LVEF exam. The data from both exams were compared, and showed a margin of error for the smartphone exam that was less than that for LVEF using echocardiography. The technique could also be used in the future to diagnose aortic stenosis, coronary artery blockages, and other heart valve diseases.
Senior author of a paper on the study, Mory Gharib (PhD '83), Caltech, said, "In a surprisingly short period of time, we were able to move from invention to the collection of validating clinical data. What is exciting about this study is that it shows our technique is as accurate as echocardiography at estimating LVEF when both are compared to the gold standard of cardiac MRI. This has the potential to revolutionize how doctors and patients can screen for and monitor heart disease both in the U.S. and the developing world."
Related Links:
California Institute of Technology
Huntington Medical Research Institute
University of Southern California
The technique that provides detailed information about cardiac health, involves simply holding a smartphone over the neck of the patient for one or two minutes. This compares with a 45-minute echocardiography ultrasound scan, or a costly Magnetic Resonance Imaging (MRI) scan for measuring the Left Ventricular Ejection Fraction (LVEF).
The results of the proof-of-concept clinical trial were published by researchers from the California Institute of Technology (Caltech), Huntington Medical Research Institute (Pasadena, CA, USA) and the University of Southern California (USC; Los Angeles, CA, USA), in the July 2017 issue of the journal Critical Care Medicine.
The new technique measures how much the carotid artery displaces the skin on the neck during a heartbeat, and infers the cardiac LVEF. The study included 72 volunteer patients all of whom underwent the smartphone LVEF exam, followed by an MRI LVEF exam. The data from both exams were compared, and showed a margin of error for the smartphone exam that was less than that for LVEF using echocardiography. The technique could also be used in the future to diagnose aortic stenosis, coronary artery blockages, and other heart valve diseases.
Senior author of a paper on the study, Mory Gharib (PhD '83), Caltech, said, "In a surprisingly short period of time, we were able to move from invention to the collection of validating clinical data. What is exciting about this study is that it shows our technique is as accurate as echocardiography at estimating LVEF when both are compared to the gold standard of cardiac MRI. This has the potential to revolutionize how doctors and patients can screen for and monitor heart disease both in the U.S. and the developing world."
Related Links:
California Institute of Technology
Huntington Medical Research Institute
University of Southern California
Latest Ultrasound News
- 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
- High Resolution Ultrasound Speeds Up Prostate Cancer Diagnosis
- World's First Wireless, Handheld, Whole-Body Ultrasound with Single PZT Transducer Makes Imaging More Accessible
- Artificial Intelligence Detects Undiagnosed Liver Disease from Echocardiograms
- Ultrasound Imaging Non-Invasively Tracks Tumor Response to Radiation and Immunotherapy
- AI Improves Detection of Congenital Heart Defects on Routine Prenatal Ultrasounds
- AI Diagnoses Lung Diseases from Ultrasound Videos with 96.57% Accuracy
- New Contrast Agent for Ultrasound Imaging Ensures Affordable and Safer Medical Diagnostics
- Ultrasound-Directed Microbubbles Boost Immune Response Against Tumors
- POC Ultrasound Enhances Early Pregnancy Care and Cuts Emergency Visits
- AI-Based Models Outperform Human Experts at Identifying Ovarian Cancer in Ultrasound Images
- Automated Breast Ultrasound Provides Alternative to Mammography in Low-Resource Settings
Channels
Radiography
view channel
World's Largest Class Single Crystal Diamond Radiation Detector Opens New Possibilities for Diagnostic Imaging
Diamonds possess ideal physical properties for radiation detection, such as exceptional thermal and chemical stability along with a quick response time. Made of carbon with an atomic number of six, diamonds... Read more
AI-Powered Imaging Technique Shows Promise in Evaluating Patients for PCI
Percutaneous coronary intervention (PCI), also known as coronary angioplasty, is a minimally invasive procedure where small metal tubes called stents are inserted into partially blocked coronary arteries... Read moreUltrasound
view channel
AI Identifies Heart Valve Disease from Common Imaging Test
Tricuspid regurgitation is a condition where the heart's tricuspid valve does not close completely during contraction, leading to backward blood flow, which can result in heart failure. A new artificial... Read more
Novel Imaging Method Enables Early Diagnosis and Treatment Monitoring of Type 2 Diabetes
Type 2 diabetes is recognized as an autoimmune inflammatory disease, where chronic inflammation leads to alterations in pancreatic islet microvasculature, a key factor in β-cell dysfunction.... Read moreNuclear Medicine
view channel
Novel PET Imaging Approach Offers Never-Before-Seen View of Neuroinflammation
COX-2, an enzyme that plays a key role in brain inflammation, can be significantly upregulated by inflammatory stimuli and neuroexcitation. Researchers suggest that COX-2 density in the brain could serve... Read more
Novel Radiotracer Identifies Biomarker for Triple-Negative Breast Cancer
Triple-negative breast cancer (TNBC), which represents 15-20% of all breast cancer cases, is one of the most aggressive subtypes, with a five-year survival rate of about 40%. Due to its significant heterogeneity... Read moreGeneral/Advanced Imaging
view channel
AI-Powered Imaging System Improves Lung Cancer Diagnosis
Given the need to detect lung cancer at earlier stages, there is an increasing need for a definitive diagnostic pathway for patients with suspicious pulmonary nodules. However, obtaining tissue samples... Read more
AI Model Significantly Enhances Low-Dose CT Capabilities
Lung cancer remains one of the most challenging diseases, making early diagnosis vital for effective treatment. Fortunately, advancements in artificial intelligence (AI) are revolutionizing lung cancer... 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 more
Patient-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