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
INTEGRA BIOSCIENCES AG

Download Mobile App




AI-Based Diagnostic Screening System Predicts Genetics of Cancerous Brain Tumors in 90 Seconds

By LabMedica International staff writers
Posted on 24 Mar 2023

The diagnosis and treatment of gliomas increasingly rely on molecular classification, as surgical benefits and risks vary depending on a patient's genetic makeup. More...

Complete removal of the tumor can extend the life of patients with astrocytomas, a specific type of diffuse glioma that is the most common and deadly primary brain tumor, by an average of five years compared to other subtypes. However, access to molecular testing for diffuse glioma is limited and not consistently available in all brain tumor treatment centers. Even when available, test results can take days or weeks. Researchers have now developed an artificial intelligence (AI) system that can screen for genetic mutations in cancerous brain tumors in less than 90 seconds, potentially streamlining the diagnosis and treatment of gliomas.

A team of neurosurgeons and engineers at Michigan Medicine (Ann Arbor, MI, USA), in collaboration with other investigators, has developed DeepGlioma, an AI-based diagnostic screening system that uses rapid imaging to analyze tumor specimens taken during an operation and rapidly identify genetic mutations. In a study involving more than 150 patients, the newly developed system demonstrated an average accuracy of over 90% in identifying the mutations used by the World Health Organization to define molecular subgroups of the condition. Prior to the development of DeepGlioma, surgeons did not have a method to differentiate diffuse gliomas during surgery.

“This AI-based tool has the potential to improve the access and speed of diagnosis and care of patients with deadly brain tumors,” said lead author and creator of DeepGlioma Todd Hollon, M.D., a neurosurgeon at University of Michigan Health and assistant professor of neurosurgery at U-M Medical School. “Barriers to molecular diagnosis can result in suboptimal care for patients with brain tumors, complicating surgical decision-making and selection of chemoradiation regimens. DeepGlioma creates an avenue for accurate and more timely identification that would give providers a better chance to define treatments and predict patient prognosis.”

Related Links:
Michigan Medicine 


Gold Member
Blood Gas Analyzer
Stat Profile pHOx
POC Helicobacter Pylori Test Kit
Hepy Urease Test
Capillary Blood Collection Tube
IMPROMINI M3
Autoimmune Liver Diseases Assay
Microblot-Array Liver Profile Kit
Read the full article by registering today, it's FREE! It's Free!
Register now for FREE to LabMedica.com and get access to news and events that shape the world of Clinical Laboratory Medicine.
  • Free digital version edition of LabMedica International sent by email on regular basis
  • Free print version of LabMedica International magazine (available only outside USA and Canada).
  • Free and unlimited access to back issues of LabMedica International in digital format
  • Free LabMedica 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

Hematology

view channel
Image: Residual leukemia cells may predict long-term survival in acute myeloid leukemia (Photo courtesy of Shutterstock)

MRD Tests Could Predict Survival in Leukemia Patients

Acute myeloid leukemia is an aggressive blood cancer that disrupts normal blood cell production and often relapses even after intensive treatment. Clinicians currently lack early, reliable markers to predict... Read more

Immunology

view channel
Image: The simple blood marker can predict which lymphoma patients will benefit most from CAR T-cell therapy (Photo courtesy of Shutterstock)

Routine Blood Test Can Predict Who Benefits Most from CAR T-Cell Therapy

CAR T-cell therapy has transformed treatment for patients with relapsed or treatment-resistant non-Hodgkin lymphoma, but many patients eventually relapse despite an initial response. Clinicians currently... Read more
Copyright © 2000-2025 Globetech Media. All rights reserved.