ArticleScientific reports2020
Noninvasive diffusion magnetic resonance imaging of brain tumour cell size for the early detection of therapeutic response.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed, 57 citations in OpenAlex.
- Engineering clinical translation of OGSE diffusion MRI.Magnetic resonance in medicine · 2025Review
- Cluster Analysis of VERDICT MRI for Cancer Tissue Characterization in Neuroendocrine Tumors.NMR in biomedicine · 2025Article
- Deuterium metabolic imaging phenotypes mouse glioblastoma heterogeneity through glucose turnover kinetics.eLife · 2025Article
- A Multimodal Adaptive Inter-Region Attention-Guided Network for Brain Tumor Classification.IEEE access : practical innovations, open solutions · 2025Article
- Challenges and Advances in Classifying Brain Tumors: An Overview of Machine, Deep Learning, and Hybrid Approaches with Future Perspectives in Medical Imaging.Current medical imaging · 2025Review
- Assessing tumor microstructure with time-dependent diffusion imaging: Considerations and feasibility on clinical MRI and MRI-Linac.Medical physics · 2025Article
- A deep learning model for the localization and extraction of brain tumors from MR images using YOLOv7 and grab cut algorithm.Frontiers in oncology · 2024Article
- Meningioma brain tumor detection and classification using hybrid CNN method and RIDGELET transform.Scientific reports · 2023Article
- Article
- Magnetic resonance imaging to assess the brain response to fasting in glioblastoma-bearing rats as a model of cancer anorexia.Cancer imaging : the official publication of the International Cancer Imaging Society · 2023Article
- Temporal Diffusion Ratio (TDR) for imaging restricted diffusion: Optimisation and pre-clinical demonstration.NeuroImage · 2023Article
- Measurement of extracellular volume fraction using magnetic resonance-based conductivity tensor imaging.Frontiers in physiology · 2023Article
- A computer-aided diagnosis system for brain tumors based on artificial intelligence algorithms.Frontiers in neuroscience · 2023Article
- Evaluating drug distribution in children and young adults with diffuse midline glioma of the pons (DIPG) treated with convection-enhanced drug delivery.Frontiers in neuroimaging · 2023Article
- Selective Cell Size MRI Differentiates Brain Tumors from Radiation Necrosis.Cancer research · 2022Article
- The Extension of the LeiCNS-PK3.0 Model in Combination with the "Handshake" Approach to Understand Brain Tumor Pathophysiology.Pharmaceutical research · 2022Article
- Ellipsoid calculations versus manual tumor delineations for glioblastoma tumor volume evaluation.Scientific reports · 2022Article
- High-Grade Glioma Treatment Response Monitoring Biomarkers: A Position Statement on the Evidence Supporting the Use of Advanced MRI Techniques in the Clinic, and the Latest Bench-to-Bedside Developments. Part 1: Perfusion and Diffusion Techniques.Frontiers in oncology · 2022Review
- Initial Condition Assessment for Reaction-Diffusion Glioma Growth Models: A Translational MRI-Histology (In)Validation Study.Tomography (Ann Arbor, Mich.) · 2021Article
- A Survey of Brain Tumor Segmentation and Classification Algorithms.Journal of imaging · 2021Article
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Authors and funding
18 authors at 2 institutions in 1 country.
Funding
Abstract
Cancer cells differ in size from those of their host tissue and are known to change in size during the processes of cell death. A noninvasive method for monitoring cell size would be highly advantageous as a potential biomarker of malignancy and early therapeutic response. This need is particularly acute in brain tumours where biopsy is a highly invasive procedure. Here, diffusion MRI data were acquired in a GL261 glioma mouse model before and during treatment with Temozolomide. The biophysical model VERDICT (Vascular Extracellular and Restricted Diffusion for Cytometry in Tumours) was applied to the MRI data to quantify multi-compartmental parameters connected to the underlying tissue microstructure, which could potentially be useful clinical biomarkers. These parameters were compared to ADC and kurtosis diffusion models, and, measures from histology and optical projection tomography. MRI data was also acquired in patients to assess the feasibility of applying VERDICT in a range of different glioma subtypes. In the GL261 gliomas, cellular changes were detected according to the VERDICT model in advance of gross tumour volume changes as well as ADC and kurtosis models. VERDICT parameters in glioblastoma patients were most consistent with the GL261 mouse model, whilst displaying additional regions of localised tissue heterogeneity. The present VERDICT model was less appropriate for modelling more diffuse astrocytomas and oligodendrogliomas, but could be tuned to improve the representation of these tumour types. Biophysical modelling of the diffusion MRI signal permits monitoring of brain tumours without invasive intervention. VERDICT responds to microstructural changes induced by chemotherapy, is feasible within clinical scan times and could provide useful biomarkers of treatment response.
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