Using a headset with a portable, laptop-size console, researchers say they can identify and monitor strokes, ranging from aneurysms to arteriovenous malformations, differentiating them from each other and from normal anatomy. The findings were introduced at last week’s Society of Interventional Radiology’s 36th annual scientific meeting in Chicago.
Sonar is used in the military to detect and communicate with other ships. Now, researchers claim, sonar can be used to detect something else: strokes.
Using a headset with a portable, laptop-size console, researchers say they can identify and monitor strokes, ranging from aneurysms to arteriovenous malformations, differentiating them from each other and from normal anatomy. The findings were introduced at last week’s Society of Interventional Radiology’s 36th annual scientific meeting in Chicago.
The device, developed by retired Navy sonar experts and Kieran J. Murphy, MD, FSIR, professor and vice chair, director of research and deputy chief of radiology at the University of Toronto and University Health Network in Canada, is based on submarine warfare technology, according to Murphy. Looking like the plastic adjustable lining inside a batting helmet, the headset contains six pressure wave-measuring accelerometers, takes only few minutes to capture the data and process it for an initial diagnosis.
To validate the device’s use, researchers from the University of Toronto ran a proof-of-concept trial with 37 patients, who had a variety of cerebrovascular conditions. These included intracerebral hemorrhage, subarachnoid hemorrhage, AVMs, ischemic stroke, transient ischemic attack, and intracranial aneurysms. The researchers confirmed the diagnoses with a CT scan, MRI, or catheter angiography. The analysis team was not told the patient’s clinical history. As a control, researchers used data from 30 normal subjects.
Using an algorithm, the analysts were able to separate the normal patients from those with cerebrovascular conditions, and further identified those conditions along with the abnormality’s location.
During his presentation at SIR, Murphy noted that of the 37 stroke patients tested, there was only one false positive and one false negative. He said the specificity was 98.8 percent and the sensitivity was 97.3 percent.
Murphy envisions the device being used for stroke detection and monitoring, with it being small enough for use in field emergency medicine, ambulances, and by the military. “When a physician suspects stroke, time is of the essence, doctors could use the system to determine treatment that needs to begin immediately," he said in a statement. The system can also monitor a patient continuously, which he said is unique for neurodiagnostics, and can immediately detect changes in a patient's condition. It could potentially be used for hydrocephalus and shunt failure as well.
Using transcranial ultrasound, strokes can be diagnosed with the probes positioned at the thinner areas of the skull. This device, though, doesn’t rely on the skull thickness. It allows physicians to measure the acceleration from the pressure waves created when blood flows into the brain.
New Study Examines Short-Term Consistency of Large Language Models in Radiology
November 22nd 2024While GPT-4 demonstrated higher overall accuracy than other large language models in answering ACR Diagnostic in Training Exam multiple-choice questions, researchers noted an eight percent decrease in GPT-4’s accuracy rate from the first month to the third month of the study.
FDA Grants Expanded 510(k) Clearance for Xenoview 3T MRI Chest Coil in GE HealthCare MRI Platforms
November 21st 2024Utilized in conjunction with hyperpolarized Xenon-129 for the assessment of lung ventilation, the chest coil can now be employed in the Signa Premier and Discovery MR750 3T MRI systems.
FDA Clears AI-Powered Ultrasound Software for Cardiac Amyloidosis Detection
November 20th 2024The AI-enabled EchoGo® Amyloidosis software for echocardiography has reportedly demonstrated an 84.5 percent sensitivity rate for diagnosing cardiac amyloidosis in heart failure patients 65 years of age and older.