Repeatability of a quantitative multiparametric MRI protocol for imaging hypoxia, cellularity, and perfusion in a murine model of glioblastoma

Motivation: Heterogeneous distributions of hypoxic tissues lead to divergent radiotherapy response. Thus, developing a practical, accurate, and reproducible method of quantifying hypoxia is of great interest. Goal(s): Establish a repeatable, multiparametric MRI protocol for quantifying hypoxia. Approach: We induced C6 brain tumors in rats and conducted test-retest TOLD-MRI, DCE-MRI, and DW-MRI exams on each rat. We then analyzed the MRI data to identify spatially distinct physiological clusters within the tumor. Results: An initial assessment of repeatability of hypoxia, normoxia, and necrotic tissue localization within a tumor. Impact: Developing a quantitative and repeatable protocol for quantifying tumor hypoxia will have immediate applications in studies seeking to design, assess, and optimize radiotherapy regimens.

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Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2024-11-26
DOI
https://doi.org/10.58530/2024/4533
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
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article

Repeatability of a quantitative multiparametric MRI protocol for imaging hypoxia, cellularity, and perfusion in a murine model of glioblastoma

Thomas E. Yankeelov, Ayesha Das, David A. Hormuth, Jack Virostko
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Radiomics and Machine Learning in Medical Imaging
article

Repeatability of a quantitative multiparametric MRI protocol for imaging hypoxia, cellularity, and perfusion in a murine model of glioblastoma

Thomas E. Yankeelov, Ayesha Das, David A. Hormuth, Jack Virostko
article en

Abstract

Motivation: Heterogeneous distributions of hypoxic tissues lead to divergent radiotherapy response. Thus, developing a practical, accurate, and reproducible method of quantifying hypoxia is of great interest. Goal(s): Establish a repeatable, multiparametric MRI protocol for quantifying hypoxia. Approach: We induced C6 brain tumors in rats and conducted test-retest TOLD-MRI, DCE-MRI, and DW-MRI exams on each rat. We then analyzed the MRI data to identify spatially distinct physiological clusters within the tumor. Results: An initial assessment of repeatability of hypoxia, normoxia, and necrotic tissue localization within a tumor. Impact: Developing a quantitative and repeatable protocol for quantifying tumor hypoxia will have immediate applications in studies seeking to design, assess, and optimize radiotherapy regimens.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
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Openalex Percentile: Top 64%
Radiomics and Machine Learning in Medical Imaging
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