NIH-funded research R01 grant

Quantitative imaging tool to tell tumor recurrence from radiation effects in glioblastoma

Official title: Quantitative imaging phenotypic classifier for distinguishing radiation effects from tumor recurrence in Glioblastoma

Funded at University of Wisconsin-Madison · NIH-11377043 · Data updated 2026-11-12

A non-invasive MRI-based classifier helps doctors distinguish recurrent glioblastoma from treatment-related changes to spare patients unnecessary biopsy.

More Glioblastoma research and trials

Quick facts

Grant typeR01 grant
Study typeNIH-funded research
Funding institutionUniversity of Wisconsin-Madison
NIH-funded
Lab location1 site (Madison, United States)
Project startJune 30, 2022
Project endMay 31, 2028
Funding year2026
Award (this year)$710,498
NIH project number5R01CA264017-05
Project IDNIH-11377043 on NIH RePORTER

Who could benefit from this research

Could help

Adults with glioblastoma who have new suspicious MRI lesions after standard treatment and are candidates for decision-making about biopsy or further treatment.

Less likely to help

Patients without post-treatment imaging changes or those not undergoing biopsy decisions may not benefit directly.

What this research studies

This project develops an image-based classifier using routine MRI scans to differentiate tumor recurrence from radiation-related changes in glioblastoma patients. It builds on a previously developed classifier and aims to achieve high diagnostic accuracy without invasive procedures. The work involves analyzing MRI features and validating the tool against biopsy results to support clinical decision-making after standard GBM treatment.

Why it matters

Potential benefit: If successful, the tool could reduce unnecessary brain biopsies and speed up correct treatment decisions for glioblastoma patients.

How similar studies have gone: Preliminary work has shown ~85% accuracy in distinguishing recurrence from radiation effects, with prior IRRisC features reported as promising but requiring broader validation.

Where this research is happening

  • University of Wisconsin-Madison
    Madison, United States
    Active

Researchers

  • Principal investigator: Tiwari, Pallavi — University of Wisconsin-Madison
  • Study coordinator: Tiwari, Pallavi

Related research

Other NIH-funded projects on the same topics.

  • Cell-level look at glioblastoma edges and tumors that come back

    This project uses fresh tumor slices and single-cell methods to find which cell types at the tumor core and edge respond to different drugs for people with glioblastoma.

    NIH research Columbia University Health Sciences · New York, United States · NIH-11370167

  • Personalized therapeutic cancer vaccine for glioblastoma to help survival

    A new, patient-focused vaccine approach uses a patient's own tumor cells to help the immune system recognize and fight glioblastoma, with the goal of longer survival and fewer recurrences.

    NIH research Ne1 INC. · New York, United States · NIH-11253187

  • How radiation affects brain cells and glioblastoma recurrence

    This study looks at how radiation therapy affects the brain and might help glioblastoma, a tough type of brain cancer, come back after treatment, with the hope that what we learn can lead to better ways to fight this disease.

    NIH research University of Texas Hlth Science Center · San Antonio, United States · NIH-11045693

  • Better telling apart tumor growth from treatment effects in Glioblastoma

    This project aims to create a new way to tell if changes on an MRI scan for Glioblastoma patients are new tumor growth or harmless side effects from radiation treatment.

    NIH research University of Wisconsin-Madison · Madison, United States · NIH-10925209

  • Keloid recurrence study using multi-omics in diverse patients

    A research effort will look at why keloids come back after surgery, especially in African American patients, using comprehensive molecular data from patient samples.

    NIH research Henry Ford Health + Michigan State University Health Sciences · East Lansing, United States · NIH-11641647

  • Small molecules to block Slit2/ROBO in glioblastoma

    A study to test small molecule drugs that block Slit2/ROBO signals to help treat glioblastoma in patients.

    NIH research Columbia University Health Sciences · New York, United States · NIH-11616958

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.