Features Partner Sites Information LinkXpress
Sign In
Advertise with Us
GLOBETECH PUBLISHING LLC

Download Mobile App




New MRI Technique Could Be Used to Detect Breast and Prostate Cancers

By MedImaging International staff writers
Posted on 19 Jun 2023

Correlated diffusion imaging (CDI) is an innovative MRI technique that offers enhanced visualization of the movement of water molecules in tissue by combining and analyzing MRI signals obtained at different gradient pulse strengths and timings. Initially developed as a promising imaging tool for cancer detection, new research has now uncovered its potential for assessing various conditions, including COVID-19's impact on the brain as well as detecting breast and prostate cancers.

Engineers at the University of Waterloo (Waterloo, ON, Canada) had previously devised CDI as a means to enhance imaging measurements for cancer detection. Recognizing its capabilities, scientists at Baycrest’s Rotman Research Institute (Toronto, Canada) embarked on a groundbreaking study to explore CDI's potential in identifying brain changes associated with COVID-19. The subsequent tests confirmed the hypothesis. CDI revealed altered diffusion patterns in the frontal-lobe white matter, showing less restricted water molecule diffusion in COVID-19 patients. Simultaneously, it exhibited more restricted diffusion in the cerebellum of individuals affected by COVID-19.

The Rotman study is one of the few to shed light on the effects of COVID-19 on the brain. Significantly, it is the first to report diffusion abnormalities in the white matter of the cerebellum. While the study aimed to demonstrate changes rather than specific brain damage resulting from COVID-19, its final report does discuss potential sources of such alterations and their potential connections to diseases and damage. Future investigations could delve into whether COVID-19 leads to actual brain tissue damage and explore any potential changes in the brain's grey matter.

“Hopefully, this research can lead to better diagnoses and treatments for COVID-19 patients,” said Alexander Wong, a systems design engineering professor at University of Waterloo who developed CDI. “And that could just be the beginning for CDI as it might be used to understand degenerative processes in other diseases such as Alzheimer’s or to detect breast or prostate cancers.”

Related Links:
University of Waterloo
Rotman Research Institute 

Gold Member
Solid State Kv/Dose Multi-Sensor
AGMS-DM+
New
Ultrasound Table
Powered Ultrasound Table-Flat Top
New
CT Phantom
CIRS Model 610 AAPM CT Performance Phantom
New
Color Doppler Ultrasound System
KC20
Read the full article by registering today, it's FREE! It's Free!
Register now for FREE to MedImaging.net and get complete access to news and events that shape the world of Radiology.
  • Free digital version edition of Medical Imaging International sent by email on regular basis
  • Free print version of Medical Imaging International magazine (available only outside USA and Canada).
  • Free and unlimited access to back issues of Medical Imaging International in digital format
  • Free Medical Imaging International Newsletter sent every week containing the latest news
  • Free breaking news sent via email
  • Free access to Events Calendar
  • Free access to LinkXpress new product services
  • REGISTRATION IS FREE AND EASY!
Click here to Register








Channels

Ultrasound

view channel
Image: CAM figures of testing images (Photo courtesy of SPJ; DOI:10.34133/research.0319)

Diagnostic System Automatically Analyzes TTE Images to Identify Congenital Heart Disease

Congenital heart disease (CHD) is one of the most prevalent congenital anomalies worldwide, presenting substantial health and financial challenges for affected patients. Early detection and treatment of... Read more

Nuclear Medicine

view channel
Image: Whole-body maximum-intensity projections over time after [68Ga]Ga-DPI-4452 administration (Photo courtesy of SNMMI)

New PET Agent Rapidly and Accurately Visualizes Lesions in Clear Cell Renal Cell Carcinoma Patients

Clear cell renal cell cancer (ccRCC) represents 70-80% of renal cell carcinoma cases. While localized disease can be effectively treated with surgery and ablative therapies, one-third of patients either... 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.