Copenhagen, Denmark
Onsite/Online

ESTRO 2022

Session Item

Sunday
May 08
16:55 - 17:55
Room D5
Application of functional & quantitative imaging
Adam Szmul, United Kingdom;
Faisal Mahmood, Denmark
Proffered Papers
Physics
16:55 - 17:05
First-in-human clinical translation of oxygen-enhanced MRI onto an MR Linac
Michael Dubec, United Kingdom
OC-0623

Abstract

First-in-human clinical translation of oxygen-enhanced MRI onto an MR Linac
Authors:

Michael Dubec1,2, Anubhav Datta1,3, Abigael Clough4, David L Buckley2,5, Ross A Little1, Mike Berks1, Susan Cheung1, Cynthia Eccles1,4, David Higgins6, Josephine H Naish7,8, Julian C Matthews9, Marcel van Herk1, Rob G Bristow1,10, Geoff JM Parker11,8, Peter Hoskin1,10,12, Andrew McPartlin10, Ananya Choudhury13,10, James PB O'Connor1,3,14

1University of Manchester, Division of Cancer Sciences, Manchester, United Kingdom; 2The Christie NHS Foundation Trust, Christie Medical Physics and Engineering, Manchester, United Kingdom; 3The Christie NHS Foundation Trust, Radiology, Manchester, United Kingdom; 4The Christie NHS Foundation Trust, Radiotherapy, Manchester, United Kingdom; 5Biomedical Imaging, University of Leeds, Leeds, United Kingdom; 6Philips UK&I, MR Clinical Science, Farnborough, United Kingdom; 7University of Manchester NHS Foundation Trust, MCMR, Manchester, United Kingdom; 8Bioxydyn Ltd, Bioxydyn, Manchester, United Kingdom; 9University of Manchester, Neuroscience and Experimental Psychology , Manchester, United Kingdom; 10The Christie NHS Foundation Trust, Clinical Oncology, Manchester, United Kingdom; 11University College London, Centre for Medical Image Computing, London, United Kingdom; 12Mount Vernon, Radiotherapy, London, United Kingdom; 13University of Manchester, Division of Cancer Sciences , Manchester, United Kingdom; 14Institute of Cancer Research, Radiotherapy and Imaging, London, United Kingdom

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Purpose or Objective

MR Linac (MRL) systems enable delivery of radiotherapy with on-line MRI.  Functional imaging on the MRL permits identification, mapping and tracking of tumour sub-regions, with the potential to introduce biologically adaptive radiotherapy (Datta 2018 ClinOnc). Here we report the first application of oxygen-enhanced MRI (OE-MRI) on an MRL to identify and map tumour hypoxia. 

Material and Methods

A dynamic 3D inversion recovery turbo field echo (IR-TFE) OE-MRI sequence was developed on a Philips Ingenia 1.5T MR system (MRSim) in 12 healthy volunteers and 4 patients with treatment naïve head and neck (H&N) carcinoma. This protocol was modified and implemented on an Elekta-Philips 1.5T MRL with different receive coils and required modification of repetition and echo times due to hardware differences. Other hardware fitting steps included retrofitting of gas delivery in the MRL bunker; installation of gas ports, delivery tubing and MR conditional blender providing 15 l/min; and installation of a contrast agent power injector for dynamic contrast-enhanced (DCE)-MRI. Participants were recruited after providing written informed consent on a local ethics approved protocol. 

 

MRL OE-MRI was acquired in 4 healthy volunteers and a patient with H&N carcinoma. T1 measurement was carried out using an IR-TFE sequence with multiple TIs and a dynamic IR-TFE series during delivery of medical air (volumes 1-25), followed by 100% oxygen (volumes 26-70) and back to medical air (volumes 71-91). Analysis was carried out in MATLAB (Mathworks).

 

Native T1 maps enabled conversion of signal change to ΔR1 (where ΔR= R1,O2  R1,air). In all volunteers, ΔRwas calculated in the nasal concha (NC)Patient tumour volumes were delineated on T1 post contrast images and ΔR1measurements obtained. Perfused tumour voxels (DCE signal increase p<0.05) were classified as oxygen enhancing (Oxy-E) (OE signal increase p<0.05; suggesting normoxia) or oxygen refractory (Oxy-R) (suggesting hypoxia). 

Results

Volunteer NC ΔRwas 0.059 ± 0.027 s-1 (p < 0.001, group ΔRchange) and 0.065 ± 0.030 (p < 0.001) on the MRSim and MRL respectively (Figure 1a-b). There was no significant difference in NC ΔRbetween the groups on the two systems (p=0.6, unpaired t-test). Patient tumour mean ΔR= 0.031 ± 0.035 (p < 0.001) (n=5 patients) on the MRSim and ΔR= 0.035 ± 0.011 (p < 0.001) (n = 1 patient) on the MRL (Figure 1c-d). Hypoxia maps showed distinct ‘hypoxic’ and ‘normoxic’ tumour sub-regions and are presented with the tumour ΔR1 map in figure 2.





Conclusion

We have successfully translated OE-MRI onto an MRL for the first time. OE-MRI measurements in normal tissue (NC) and tumour are consistent between the MRSim and the MRL at 1.5 T. This novel technique facilitates introduction of hypoxia adapted radiotherapy on the MRL.