Quantitation of brain tumour microstructure response to Temozolomide therapy using non-invasive VERDICT MRI
Tom A. Roberts, Harpreet Hyare, Giulia Agliardi, Ben Hipwell, Angela d’Esposito, Andrada Ianus, James O. Breen-Norris, Rajiv Ramasawmy, Valerie Taylor, David Atkinson, Shonit Punwani, Mark F. Lythgoe, Bernard Siow, Sebastian Brandner, Jeremy Rees, Eleftheria Panagiotaki, Daniel C. Alexander, Simon Walker-SamueliD
Abstract
There has been slow progress in the development of new therapeutic strategies for treating brain tumours, partly because assessment of treatment response is difficult and largely reliant on simple bi-dimensional measurements of MRI contrast-enhancing regions. Hence, there is a clinical need to develop improved imaging techniques for monitoring treatment response. In this study, we evaluate VERDICT (Vascular, Extracellular and Restricted Diffusion for Cytometry in Tumors) MRI in mouse glioblastomas for the quantification of tumour microstructure and assessment of response to Temozolomide (TMZ) chemotherapy, and, we investigate the feasibility of applying VERDICT MRI in a range of human gliomas. VERDICT MRI detected response to TMZ earlier than structural and apparent diffusion coefficient (ADC) measurements. A significant reduction in the cell radius parameter was detected three days earlier than ADC and six days earlier than structural MRI. Histological analysis showed the same trend as VERDICT of decreased intracellular volume fraction in the TMZ-treated mice. Vascular volume fraction was not altered by TMZ, which was consistent with optical projection tomography measurements. In patients, glioblastoma compartmental volume fractions showed good agreement with mouse glioblastoma parameters. The VERDICT parameters varied across the human gliomas, with raised intracellular volume fraction in the oligodendrogliomas and elevated cell radius in both low-grade tumours subtypes. In conclusion, our results suggest that VERDICT MRI is more sensitive at detecting TMZ response than structural or ADC measurements. In patients, VERDICT is feasible within clinical scan times, and performed best at characterising glioblastoma. Further optimisation should improve assessment of different glioma subtypes.
02 /Specification & Classification
Click any tag to browse matching papersReproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Image-based metric of invasiveness predicts response to adjuvant temozolomide for primary glioblastoma
S. C. Massey, H. White, … K. R. Swanson·bioRxiv·Jan 2, 2019
- Metabolic-imaging of human glioblastoma explants: a new precision-medicine model to predict tumor treatment response early
Mariangela Morelli, Francesca Lessi, … Chiara Maria Mazzanti·Frontiers in OncologyPeer-reviewed·Sep 5, 2022
- Magnetic Resonance Imaging for Improved Brain Tumor Detection
Blake Benyard, Narayan Datt Soni, … Ravinder D Reddy·bioRxiv·May 6, 2025
- Quantum Sensing Reveals Chemotherapy Induced Persistent Oxidative Footprints in Fixed Brain Cancer Cells
Jyotiprakash Parhi, Arpita Ghosh, … Kasturi Saha·bioRxiv·Jul 27, 2025
- Microphysiological system modeling pericyte-induced temozolomide resistance in glioblastoma
Surjendu Maity, Christopher Jewell, … Vadim Jucaud·Acta BiomaterialiaPeer-reviewed·May 16, 2025
- Expanding Microgel Parameters to Model the Tumor Microenvironment and Examine Temozolomide Resistance in Glioblastoma
Brittany A. Payan, Joel Kattoor, … Brendan A.C. Harley·bioRxiv·Jul 9, 2026