Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
560-05-008 ISMRM Abstract

Prediction of tumour hypoxia using machine learning applied to standard T1 and T2-weighted images

Accepted
Belvin Thomas1, Ross A Little2, John C Waterton 3,4, Gary Zhang5,6, Laura M Parkes7,8, James PB O’Connor1,2,9, Geoff J Parker3,6,10
1Division of Radiotherapy and Imaging, The Institute of Cancer Research, Sutton, United Kingdom
2Division of Cancer Sciences, University of Manchester, Manchester, United Kingdom
3Bioxydyn Limited, Manchester, United Kingdom
4Division of Informatics Imaging & Data Sciences, University of Manchester, Manchester, United Kingdom
5Department of Computer Science, University College London, London, United Kingdom
6UCL Hawkes Institute, University College London, London, United Kingdom
7Division of Psychology Communication and Human Neuroscience, University of Manchester, Manchester, United Kingdom
8Geoffrey Jefferson Brain Research Centre, University of Manchester, Manchester, United Kingdom
9Radiology Department, The Christie NHS Foundation Trust, Manchester, United Kingdom
10Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom
Presenting Author: John C Waterton

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References

1. O’Connor JPB, Boult JKR, Jamin Y, Babur M, Finegan KG, Williams KJ, et al. Oxygen-Enhanced MRI Accurately Identifies, Quantifies, and Maps Tumor Hypoxia in Preclinical Cancer Models. Cancer Res. 2016 Feb;76(4):787–95. PMID: 26659574. doi: 10.1158/0008-5472.CAN-15-2062 [doi] [pmid]
2. Salem A, Little RA, Latif A, Featherstone AK, Babur M, Peset I, et al. Oxygen-enhanced MRI Is Feasible, Repeatable, and Detects Radiotherapy-induced Change in Hypoxia in Xenograft Models and in Patients with Non-small Cell Lung Cancer. Clin cancer Res an Off J Am Assoc Cancer Res. 2019 Jul;25(13):3818–29. PMID: 31053599. doi: 10.1158/1078-0432.CCR-18-3932 [doi] [pmid]
3. Linnik I V, Scott MLJ, Holliday KF, Woodhouse N, Waterton JC, O’Connor JPB, et al. Noninvasive tumor hypoxia measurement using magnetic resonance imaging in murine U87 glioma xenografts and in patients with glioblastoma. Magn Reson Med. 2014 May;71(5):1854–62. PMID: 23798369. doi: 10.1002/mrm.24826 [doi] [pmid]
4. Featherstone AK, O’Connor JPB, Little RA, Watson Y, Cheung S, Babur M, et al. Data-driven mapping of hypoxia-related tumor heterogeneity using DCE-MRI and OE-MRI. Magn Reson Med. 2018 Apr;79(4):2236–45. PMID: 28856728. doi: 10.1002/mrm.26860 [doi] [pmid]
5. O’Connor JPB, Tessyman V, Little RA, Babur M, Forster D, Latif A, et al. Combined Oxygen-Enhanced MRI and Perfusion Imaging Detect Hypoxia Modification from Banoxantrone and Atovaquone and Track Their Differential Mechanisms of Action. Cancer Res Commun. 2024 Oct;4(10):2565–74. PMID: 39240065. DOI: 10.1158/2767-9764.CRC-24-0315 [doi] [pmid]

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