Abstract #0236

A repository-integrated framework for rapid clinical analysis of MR-derived hypoxia maps.

Penny L Hubbard Cristinacce¹, Andrew B Gill², Jonathan R Birchall², Sam Keaveney^3,4, Michael Berks¹, Mina Kim⁵, Edith Gallagher⁶, James T Grist^7,8, Julia Markus⁹, Simon J Doran⁴, Ross A Little¹, Daniel R McGowan^6,10, Geoff S Higgins^6,11, James PB O'Connor^1,4, Geoff JM Parker^5,12, and Joy R Roach^6,13

¹Division of Cancer Sciences, The University of Manchester, Manchester, United Kingdom, ²Department of Radiology, University of Cambridge, Cambridge, United Kingdom, ³MRI Unit, The Royal Marsden NHS Foundation Trust, London, United Kingdom, ⁴Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, United Kingdom, ⁵Centre for Medical Image Computing, Dept of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom, ⁶Department of Oncology, University of Oxford, Oxford, United Kingdom, ⁷Oxford Centre for Clinical Magnetic Resonance Research, University of Oxford, Oxford, United Kingdom, ⁸Department of Radiology, Oxford University Hospital NHS Foundation Trust, Oxford, United Kingdom, ⁹Centre for Medical Imaging, Division of Medicine, University College London, London, United Kingdom, ¹⁰Department of Medical Physics and Clinical Engineering, Oxford University Hospital NHS Foundation Trust, Oxford, United Kingdom, ¹¹Department of Oncology, Oxford University Hospital NHS Foundation Trust, Oxford, United Kingdom, ¹²Bioxydyn Ltd, Manchester, United Kingdom, ¹³Division of Neurosurgery, Oxford University Hospital NHS Foundation Trust, Oxford, United Kingdom

Synopsis

Keywords: Data Processing, Cancer, Clinical Translation

Motivation: Translation of quantitative biomarkers requires a reproducible and efficient analysis environment to underpin assessments of clinical utility.

Goal(s): This study aimed to provide a 24-hour turnaround of clinically relevant MR-derived hypoxia maps for use in biopsy planning.

Approach: The analysis framework was integrated into an XNAT imaging repository and applied to oxygen-enhanced and dynamic-contrast-enhanced images to quantify and map the extent of hypoxia within low-grade glioma.

Results: A group of geo-dispersed researchers consistently delivered MR-derived hypoxia maps to the clinical study team for use alongside ¹⁸F-FDOPA PET in biopsy site definition prior to surgery.

Impact: A framework of repository-integrated analysis enabled rapid turnaround of quantitative MR imaging biomarkers for clinical decision-making. Specifically, biopsy-planning using MR-derived hypoxia mapping of low-grade glioma was delivered with standardised, reproducible, auditable results in under 24 hours.

How to access this content:

For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.

After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.

After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.

Click here for more information on becoming a member.