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

Download Mobile App




Machine Learning Analyzes MRI Data to Predict Brain Tumor Progression

By MedImaging International staff writers
Posted on 17 Jan 2023

Glioblastoma multiforme (GBM), a brain cancer that has an average survival rate of just one year, can be difficult to treat because of its highly dense core, rapid growth, and location. More...

Clinicians find it difficult to quickly and accurately estimate the diffusivity and proliferation rate for these tumors in an individual patient. Now, researchers have created a computational model that uses MRI data to predict the growth of these deadly brain tumors more accurately.

Researchers at the University of Waterloo (Waterloo, ON, Canada) analyzed MRI data from several sufferers of GBM using machine learning in order to better predict the progression of cancer. The team analyzed two sets of MRIs from each of five GBM patients who underwent extensive MRIs, waited for months, and then received another set of MRIs. Since these patients opted not to receive any treatment or intervention during this time, the researchers were provided a unique opportunity to examine how GBM grows when left unchecked by analyzing their MRIs.

Using a deep learning model, the researchers turned the MRI data into patient-specific parameter estimates that inform a predictive model for GBM growth. They applied this technique to the patients’ and synthetic tumors, for which the true characteristics were known, allowing them to validate the model. The scientists now have a good model of how GBM grows untreated and will now expand the model to include the impact of treatment on the tumors. The data set would then grow from a handful of MRIs to thousands. According to the researchers, access to MRI data – and partnership between mathematicians and clinicians – can significantly impact patients in the future.

“The integration of quantitative analysis into healthcare is the future,” said Cameron Meaney, a PhD candidate in Applied Mathematics and the study’s lead researcher.


X-Ray Illuminator
X-Ray Viewbox Illuminators
New
Digital Color Doppler Ultrasound System
MS22Plus
Digital Radiographic System
OMNERA 300M
High-Precision QA Tool
DEXA Phantom
Read the full article by registering today, it's FREE! It's Free!
Register now for FREE to MedImaging.net and get 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

Nuclear Medicine

view channel
Image: Perovskite crystal boules are grown in carefully controlled conditions from the melt (Photo courtesy of Mercouri Kanatzidis/Northwestern University)

New Camera Sees Inside Human Body for Enhanced Scanning and Diagnosis

Nuclear medicine scans like single-photon emission computed tomography (SPECT) allow doctors to observe heart function, track blood flow, and detect hidden diseases. However, current detectors are either... Read more

General/Advanced Imaging

view channel
Image: The Angio-CT solution integrates the latest advances in interventional imaging (Photo courtesy of Canon Medical)

Cutting-Edge Angio-CT Solution Offers New Therapeutic Possibilities

Maintaining accuracy and safety in interventional radiology is a constant challenge, especially as complex procedures require both high precision and efficiency. Traditional setups often involve multiple... 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 © 2000-2025 Globetech Media. All rights reserved.