ArticleMagnetic resonance in medicine2018
Data-driven mapping of hypoxia-related tumor heterogeneity using DCE-MRI and OE-MRI.
Article in Magnetic resonance in medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Whole-Body Oxygen-Enhanced MRI of Tumor-Bearing Mice Under Hyperbaric Oxygenation.Magnetic resonance in medicine · 2026Article
- Imaging hypoxia for head and neck cancer: current status, challenges, and prospects.Theranostics · 2025Review
- Validation of single reference variable flip angle (SR-VFA) dynamic TMagnetic resonance in medicine · 2024Article
- Correlation of MRI quantitative perfusion parameters with EGFR, VEGF and EGFR gene mutations in non-small cell cancer.Scientific reports · 2024Article
- Machine learning identifies multi-parametric functional PET/MR imaging cluster to predict radiation resistance in preclinical head and neck cancer models.European journal of nuclear medicine and molecular imaging · 2023Article
- TThe British journal of radiology · 2023Article
- Oxygen-enhanced MRI and radiotherapy in patients with oropharyngeal squamous cell carcinoma.Clinical and translational radiation oncology · 2023Article
- Advances in PET and MRI imaging of tumor hypoxia.Frontiers in medicine · 2023Review
- Article
- An Automated Segmentation Pipeline for Intratumoural Regions in Animal Xenografts Using Machine Learning and Saturation Transfer MRI.Scientific reports · 2020Article
- Article
- Data-driven identification of tumor subregions based on intravoxel incoherent motion reveals association with proliferative activity.Magnetic resonance in medicine · 2019Article
- Multiparametric MRI and Coregistered Histology Identify Tumor Habitats in Breast Cancer Mouse Models.Cancer research · 2019Article
- Oxygen-sensitive MRI assessment of tumor response to hypoxic gas breathing challenge.NMR in biomedicine · 2019Article
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9 authors.
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Abstract
purposePrevious work has shown that combining dynamic contrast-enhanced (DCE)-MRI and oxygen-enhanced (OE)-MRI binary enhancement maps can identify tumor hypoxia. The current work proposes a novel, data-driven method for mapping tissue oxygenation and perfusion heterogeneity, based on clustering DCE/OE-MRI data.
methodsDCE-MRI and OE-MRI were performed on nine U87 (glioblastoma) and seven Calu6 (non-small cell lung cancer) murine xenograft tumors. Area under the curve and principal component analysis features were calculated and clustered separately using Gaussian mixture modelling. Evaluation metrics were calculated to determine the optimum feature set and cluster number. Outputs were quantitatively compared with a previous non data-driven approach.
resultsThe optimum method located six robustly identifiable clusters in the data, yielding tumor region maps with spatially contiguous regions in a rim-core structure, suggesting a biological basis. Mean within-cluster enhancement curves showed physiologically distinct, intuitive kinetics of enhancement. Regions of DCE/OE-MRI enhancement mismatch were located, and voxel categorization agreed well with the previous non data-driven approach (Cohen's kappa = 0.61, proportional agreement = 0.75).
conclusionThe proposed method locates similar regions to the previous published method of binarization of DCE/OE-MRI enhancement, but renders a finer segmentation of intra-tumoral oxygenation and perfusion. This could aid in understanding the tumor microenvironment and its heterogeneity. Magn Reson Med 79:2236-2245, 2018. © 2017 The Authors Magnetic Resonance in Medicine published by Wiley Periodicals, Inc. on behalf of International Society for Magnetic Resonance in Medicine. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
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