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




Novel Method Uses Interstitial Fluid Flow to Predict Where Brain Tumor Can Grow Next

By MedImaging International staff writers
Posted on 16 Sep 2025
Image: The novel approach combining MRI, fluid dynamics, and custom algorithms predicts brain cancer recurrence sites (photo courtesy of AdobeStock)
Image: The novel approach combining MRI, fluid dynamics, and custom algorithms predicts brain cancer recurrence sites (photo courtesy of AdobeStock)

Glioblastoma is one of the most aggressive brain cancers, with patients surviving on average only 15 months after diagnosis. Surgery and radiation can temporarily control the tumor, but the disease almost always returns because hidden cancer cells remain in surrounding tissues. Current imaging and dye-based methods fail to detect cells that have migrated beyond the visible tumor margin. Now, a new method based on fluid moving through and near the tumor can better identify where these invasive cells are likely to reappear.

This novel approach, created by researchers at the Fralin Biomedical Research Institute at VTC, combines magnetic resonance imaging (MRI), fluid dynamics knowledge, and a custom algorithm. The method builds on the study of interstitial fluid flow, which describes how fluid moves between cells in tissues. By modeling these flows, the algorithm predicts pathways that tumor cells use to migrate, identifying high-risk areas for recurrence beyond what standard scans reveal.

According to the researchers, faster interstitial flows around a tumor correlated with higher rates of invasion, while more random fluid diffusion corresponded to less spread. The most powerful predictor was a new metric showing how flows converge into pathlines, like streams merging into rivers, which cancer cells follow. These insights, published in npj Biomedical Innovations, demonstrate that fluid flow patterns can highlight hotspots of hidden tumor cells that standard imaging cannot detect.

This predictive model could provide surgeons and oncologists with probability maps to guide more precise and aggressive interventions where tumor cells are most likely to be. It could also spare healthy brain regions from unnecessary treatment by identifying areas with lower invasion risk. These findings are being translated into clinical tools that support personalized surgical and radiation strategies for glioblastoma patients.

“If you can't find the tumor cells, you can't kill the tumor cells, whether that's by cutting them out, hitting them with radiation therapy, or getting drugs to them. This is a method that we now believe can allow us to find those tumor cells,” said Jennifer Munson, PhD, Professor and Director of the Cancer Research Center — Roanoke at the Fralin Biomedical Research Institute at VTC. “This could tell a surgeon where there's going to be a higher chance of there being more tumor cells, so they might be a little more aggressive, if it's safe to the patient to go after a more invasive region.”

High-Precision QA Tool
DEXA Phantom
Ultrasound Needle Guidance System
SonoSite L25
Breast Localization System
MAMMOREP LOOP
X-Ray Illuminator
X-Ray Viewbox Illuminators

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.