Copenhagen, Denmark
Onsite/Online

ESTRO 2022

Session Item

Physical aspects of quantitative functional and biological imaging
Poster (digital)
Physics
Integration of R2* mapping in daily prostate MR-Linac workflow for hypoxia characterisation
Wajiha Bano, United Kingdom
PO-1751

Abstract

Integration of R2* mapping in daily prostate MR-Linac workflow for hypoxia characterisation
Authors:

Wajiha Bano1, Kobika Sritharan2, Joan Chick1, Gillian Smith3, Alison Tree2, Uwe Oelfke4, Andreas Wetscherek4

1The Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, Joint Department of Physics, London, United Kingdom; 2The Royal Marsden NHS Foundation Trust and The Institute of Cancer Research, Department of Radiotherapy, London, United Kingdom; 3The Royal Marsden NHS Foundation Trust, Radiotherapy, London, United Kingdom; 4The Institute of Cancer Research, and The Royal Marsden NHS Foundation Trust, Joint Department of Physics, London, United Kingdom

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Purpose or Objective

R2* mapping can be used to characterize tumour hypoxia, which is associated with therapy resistance. Acquiring R2* maps during MR-guided radiotherapy can potentially help in treatment adaptation by escalating the dose to resistant sub-volumes. This study aims to evaluate R2* changes in patients with prostate cancer undergoing radiotherapy on an MR-Linac. 

Material and Methods

Seven patients with prostate cancer received radiotherapy after androgen deprivation therapy with a dose of 60Gy/48.6Gy to prostate and seminal vesicles in 20 fractions. Patients were treated on a 1.5T MR-Linac (Elekta AB. Stockholm, Sweden) and R2* mapping was acquired twice per week before treatment delivery using a radial multi-echo gradient-echo sequence with the following parameters: TR = 48 ms, ΔTE=5ms, FOV = 400x400x180 mm, and 1.5x1.5x4 mm3 acquisition voxel size, TA= 7.56 minutes). R2* maps were calculated from the magnitude images in MATLAB (The Mathworks, Natick, MA, USA) using a linear operation on the R2* exponential decay curve. Prostate was delineated manually and mean R2* values within the whole prostate were compared across all fractions. The first day of treatment (fraction 0) was considered baseline and the last five fractions (15-20) were considered as an end of treatment.  Statistical analysis was performed using Graphpad Prism. 

Results

Figure 1a shows the mean R2* values during the course of radiotherapy.  Baseline mean R2* values varied across different patients, which could be attributed to the inter-patient variability. Repeated measure ANOVA showed no statistically significant difference in R2* values across different fractions (p=0.24). This variability can be seen visually in R2* maps of two patients across different fractions (Figure 1b). Figure 2 shows the comparison of R2* values during fraction 0 (before radiotherapy) and R2* of all the last five (15-20) fractions. There is a decrease in R2* values in five out of seven patients as compared to baseline. The difference between R2* values within the prostate of fraction 0 and fraction 15-20 was not statistically significant (paired t-test, p=0.2). There was a significant correlation between fraction 0 and fraction 15-20 R2* values (r=0.82, p=0.008).


 

Conclusion

This was an exploratory study to evaluate the weekly changes in R2* values for prostate cancer patients undergoing radiotherapy on an MR-Linac. There was no persistent change in R2* values in all patients with an overall decrease in R2* in five out of seven patients at the end of treatment. This decrease in R2* values could be indicative of the fibrosis or apoptotic changes in the prostate. This work focused only on the changes within the whole prostate in a limited number of patients and future work will evaluate the voxel-level changes in the tumour.  The correlation of R2* with clinical and quantitative parameters (e.g diffusion) may help characterise the nature of these changes and can be useful for adaptive radiotherapy.