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

Download Mobile App




New Software Designed to Ensure Faster Care, Treatment for Stroke Patients

By MedImaging International staff writers
Posted on 29 Apr 2014
Print article
Image: Dr. Fuk-hay Tang believes that the CAD stroke system raises hope for patients with ischemic stroke by detecting signs of stroke from computed tomography (CT) scans (Photo courtesy of the Hong Kong Polytechnic University).
Image: Dr. Fuk-hay Tang believes that the CAD stroke system raises hope for patients with ischemic stroke by detecting signs of stroke from computed tomography (CT) scans (Photo courtesy of the Hong Kong Polytechnic University).
Image: Automatic detection of potential ischemic stroke areas (Photo courtesy of the Hong Kong Polytechnic University).
Image: Automatic detection of potential ischemic stroke areas (Photo courtesy of the Hong Kong Polytechnic University).
Image: CT scan without CAD (a) CT scan with CAD result (b) (Photo courtesy of the Hong Kong Polytechnic University).
Image: CT scan without CAD (a) CT scan with CAD result (b) (Photo courtesy of the Hong Kong Polytechnic University).
New computer technology has the potential to treat people affected by ischemic stroke. Developed by researchers in Hong Kong, this innovative application that proficiently analyses brain scans could save lives by helping clinicians determine if a patient has the life-threatening disorder.

The computer-aided design (CAD) stroke technology is capable of detecting signs of stroke from computed tomography (CT) scans. When blood flow to the brain is blocked, an area of the brain turns softer or decreases in density due to insufficient blood flow, pointing to an ischemic stroke, which is a very common kind of stroke that accounts for over 80% of overall stroke cases.

As demonstrated by Dr. Fuk-hay Tang from the department of health technology and informatics at Hong Kong Polytechnic University (PolyU), CT scans are fed into the CAD stroke computer, which will make calculations and comparisons to locate regions suspected of insufficient blood flow. In 10 minutes, scans with highlighted areas of abnormality will come out for a physician’s review. Early alteration including loss of insular ribbon, loss of sulcus and dense MCA signs can be identified, helping clinicians determine if blood clots are present.

A diagnostic tool that can accelerate the process will be greatly helpful in saving lives. Dr. Tang stated, “The clock is ticking for stroke patients. Medications taken in three hours from the onset of stroke are deemed most effective. Chances of recovery decrease with every minute passing by. It typically takes 30 minutes at best for the ambulance to arrive at the hospital. Then, another 45 minutes to one hour are then required for CT or magnetic resonance imaging [MRI] scans after the patient has been checked and dispatched for the test, which means some waiting, and time will slip by. Afterwards, the brain scan will take another 10 to 15 minutes. If our tool can help doctors arrive at a diagnosis in 10 minutes, the shorter response time will make meeting the target more achievable. It might come in handy for physicians with less experience in stroke, and patient care can be maintained in hospitals where human and other vital resources are already stretched to the limit.”

The life-saving tool can also identify slight and tiny changes in the brain that would escape the eye of even an experienced specialist, slashing the chances of missed diagnosis. False-positive and false-negative cases, and other less serious disorders that mimic a stroke can also be ruled out, allowing a fully-informed decision to be made.

Furthermore, equipped with the built-in artificial intelligence feature, the CAD stroke technology would learn by experience. With every scan passing through, along with feedback from stroke specialists, the application will improve on its accuracy over time. “It is important to identify stroke patients and help them get the urgent treatment they need,” said Dr .Tang. “Prompt and accurate diagnosis is in the forefront of our minds when designing the medical application. Healthcare professionals should focus on what they do best and let us take care of the rest.”

Related Links:

Hong Kong Polytechnic University


New
Gold Member
X-Ray QA Meter
T3 AD Pro
NMUS & MSK Ultrasound
InVisus Pro
New
Gold Member
X-Ray QA Meter
T3 RG Pro
New
40/80-Slice CT System
uCT 528

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
Copyright © 2000-2024 Globetech Media. All rights reserved.