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T2 Star Magnetic Resonance Imaging and Biomarker Blood Testing to Predict the Change and Progress of Malignant Gliomas

Evaluating Iron-Dependent Biomarkers of Malignant Glioma (WHO Grade IV) Progression

Status
Recruiting
Phases
Unknown
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT07447531
Enrollment
15
Registered
2026-03-03
Start date
2025-10-03
Completion date
2028-10-06
Last updated
2026-03-03

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Malignant Glioma

Brief summary

This clinical trial studies whether T2 star (T2\*) magnetic resonance imaging (MRI) and biomarker blood testing can help predict how World Health Organization (WHO) grade IV gliomas (malignant gliomas) might change or progress over time.

Detailed description

This clinical trial studies whether T2 star (T2\*) magnetic resonance imaging (MRI) and biomarker blood testing can help predict how World Health Organization (WHO) grade IV gliomas (malignant gliomas) might change or progress over time. WHO grade IV gliomas are the most common primary brain tumors. Despite aggressive standard of care treatment, overall survival remains low. Early identification of whether the glioma comes back after a period of improvement (recurrence) remains an important part of treatment management. Early identification of recurrence can be complicated as treatment effects can cause inflammation, making it difficult to identify recurrence on standard MRI. It has been shown that WHO grade IV gliomas have increased iron content and that as the glioma is treated, markers in the blood that represent iron related cell death (biomarkers) increase. T2\* mapping is an MRI technique routinely used to assess iron content within tissues and may help identify recurrence of the glioma on the MRI. The biomarker blood test in this study checks the levels of iron-related cell death biomarkers in the blood, which may help predict how well patients are responding to treatment. T2\* MRI and biomarker blood testing may be an effective way to predict how malignant gliomas might change or progress over time.

Interventions

PROCEDURET2 (Observed)-Weighted Imaging

Undergo T2\* MRI

PROCEDUREBiospecimen Collection

Undergo blood sample collection

PROCEDUREMagnetic Resonance Imaging

Undergo standard MRI

Sponsors

John M. Buatti
Lead SponsorOTHER

Study design

Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
DIAGNOSTIC
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
21 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Age \> 21 years * New pathologically confirmed diagnosis of WHO grade IV malignant glioma * KPS \> 60 * Ability to give informed consent for standard of care chemotherapy and radiation therapy on the MR Linac and to study procedures for the protocol

Exclusion criteria

* History of previous malignancy other than non-melanoma skin cancer in the previous 5 years * History of iron metabolic disorder such as hemochromatosis * Inability to undergo MR studies due to size, claustrophobia, or metal implants or devices

Design outcomes

Primary

MeasureTime frameDescription
Relationship between T2 (observed)-weighted imaging (T2*) magnetic resonance imaging relation time and dimeric transferrin receptor expressionUp to 3 months post-radiation therapyWill be characterized with mixed effects regression modeling. Correlation between the two biomarkers will be estimated with the multivariate linear mixed effects regression approach of Hamlett, Ryan, and Wolfinger. Cluster bootstrapping will be employed to calculate a 95% confidence interval for their correlation and a p-value for testing its significance at the 5% level.

Secondary

MeasureTime frameDescription
Effects of T2* relaxation and/or circulating dimeric transferrin receptor on progression-free survival (PFS)Up to 3 months post-radiation therapyCox regression will be used to model the univariable and multivariable effects of T2\* relaxation time and dimeric transferrin receptor on PFS. Time-dependent receiver operating characteristic (ROC) analysis will be performed to estimate ROC curves at 6-months and areas under the curves (AUCs) as measures of prognostic performances. AUCs will be compared to help determine whether the combination of biomarkers is more prognostic than either biomarker alone. Sensitivities and specificities from the ROC curves will also be reported across the observed range of biomarkers (cutoff) values to further characterize their performance in predicting PFS.
PFSFrom treatment initiation to the date of first documentation of disease progression or death due to any cause in the absence of documented progression, assessed up to 3 months post-radiation therapyCumulative PFS will be descriptively summarized over time with the method of Kaplan-Meier.

Countries

United States

Contacts

CONTACTJohn Buatti, MD
john-buatti@uiowa.edu(319) 356-7590
PRINCIPAL_INVESTIGATORJohn Buatti, MD

University of Iowa

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Mar 4, 2026