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




Ultrasound-Aided Blood Testing Detects Cancer Biomarkers from Cells

By MedImaging International staff writers
Posted on 15 May 2024
Print article
Image: Ultrasound image of micro-histotripsy liberation of biomarkers in a tumor (Photo courtesy of Joy Wang and Pradyumna Kedarisetti)
Image: Ultrasound image of micro-histotripsy liberation of biomarkers in a tumor (Photo courtesy of Joy Wang and Pradyumna Kedarisetti)

Ultrasound imaging serves as a noninvasive method to locate and monitor cancerous tumors effectively. However, crucial details about the cancer, such as the specific types of cells and genetic mutations involved, typically require invasive biopsies, which can cause harm. Now, a research team has developed a new method to utilize ultrasound for gently extracting this genetic information.

Researchers at the University of Alberta (Edmonton, AB, Canada) have been investigating the use of intense ultrasound in releasing biological indicators of disease, or biomarkers, from cells. These biomarkers include elements like miRNA, mRNA, DNA, and various genetic mutations, all of which are critical for identifying the cancer type and guiding treatment decisions. The ultrasound technique releases these biomarkers from the cells into the bloodstream, where they reach concentrations high enough to be detected. This enables oncologists to identify and track the cancer's status or response to treatment through blood samples instead of invasive biopsies, making the process less painful and more cost-effective.

The application of ultrasound has proven to enhance the presence of genetic and vesicle biomarkers in blood samples by more than 100 times. The researchers successfully identified panels of tumor-specific and now epigenetic mutations that previously could not be detected in blood samples. This method is not only effective but also more affordable than traditional tests. They noted that ultrasound-enhanced blood tests could be performed at a cost similar to that of a COVID test, a significant reduction from the usual USD 10,000 per test.

Furthermore, the research team explored using intense ultrasound to liquefy small tissue samples for easier biomarker detection. This liquefied tissue can be collected from blood samples or via fine-needle syringes, which are considerably less invasive than traditional core-needle biopsies. These advancements in cancer detection technology could lead to earlier diagnosis and treatment, offering healthcare providers flexibility in managing treatment efficacy without the high costs and risks typically associated with frequent biopsies.

“We hope that our ultrasound technologies will benefit patients by providing clinicians a new kind of molecular readout of cells and tissues with minimal discomfort,” said Roger Zemp from the University of Alberta who led the team.

Related Links:
University of Alberta

New
Gold Member
X-Ray QA Meter
T3 AD Pro
New
40/80-Slice CT System
uCT 528
New
Portable Color Doppler Ultrasound System
S5000
New
3T MRI Scanner
MAGNETOM Cima.X

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.