Optimizing early response assessment in glioblastoma using diffusion imaging on a 1.5T MR-Linac

Motivation: Early response assessment for glioblastoma may be possible using regions of low apparent diffusion coefficient (low-ADC) during MRI-linear accelerator (MR-Linac) treatment, but low-ADC definition has not been optimized. Goal(s): Optimize definition of low-ADC for correlation with progression-free survival. Approach: We defined low-ADC regions from near-daily diffusion-weighted imaging and weekly contrast-enhanced T1-weighted imaging for 41 glioblastoma patients during MR-Linac treatment (3-6 weeks). We compared correlation strength across b-values (800 versus 2000s/mm2) and ADC thresholds (0.7 to 2.0μm2/ms). Results: The optimal b-value/threshold combination was b=800s/mm2 and 1.2μm2/ms (correlation for weeks 2-6). Impact: We showed that early response assessment in glioblastoma during radiotherapy is possible with weekly acquisition of ADC maps and contrast-enhanced T1-weighted imaging on MR-Linacs. Low-ADC regions could serve as targets for radiotherapy dose escalation to potentially extend patient survival.

Authors

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/10.58530/2024/0366
Primary Topic
Advanced Neuroimaging Techniques and Applications
Type
article
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article

Optimizing early response assessment in glioblastoma using diffusion imaging on a 1.5T MR-Linac

Angus Lau, Arjun Sahgal, Liam Lawrence, Greg J. Stanisz et al.
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
Advanced Neuroimaging Techniques and Applications
article

Optimizing early response assessment in glioblastoma using diffusion imaging on a 1.5T MR-Linac

Angus Lau, Arjun Sahgal, Liam Lawrence, Greg J. Stanisz, Pejman Maralani, Brige Chugh, Sunit Das, Hany Soliman, Sten Myrehaug, Mark Ruschin, Aimee Theriault, Chia‐Lin Tseng, Mary Jane Lim-Fat, J. M. Stewart, Jay Detksy
article en

Abstract

Motivation: Early response assessment for glioblastoma may be possible using regions of low apparent diffusion coefficient (low-ADC) during MRI-linear accelerator (MR-Linac) treatment, but low-ADC definition has not been optimized. Goal(s): Optimize definition of low-ADC for correlation with progression-free survival. Approach: We defined low-ADC regions from near-daily diffusion-weighted imaging and weekly contrast-enhanced T1-weighted imaging for 41 glioblastoma patients during MR-Linac treatment (3-6 weeks). We compared correlation strength across b-values (800 versus 2000s/mm2) and ADC thresholds (0.7 to 2.0μm2/ms). Results: The optimal b-value/threshold combination was b=800s/mm2 and 1.2μm2/ms (correlation for weeks 2-6). Impact: We showed that early response assessment in glioblastoma during radiotherapy is possible with weekly acquisition of ADC maps and contrast-enhanced T1-weighted imaging on MR-Linacs. Low-ADC regions could serve as targets for radiotherapy dose escalation to potentially extend patient survival.

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 63%
Advanced Neuroimaging Techniques and Applications
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