Leedan Murray1, Wendy Oakden1, Wilfred W. Lam1, and Greg J. Stanisz1
1Physical Sciences, Sunnybrook Research Institute, Toronto, ON, Canada
Synopsis
The response to radiation treatment of DU145 prostate tumour
xenografts was studied by comparing magnetization transfer-weighted Z-spectra
before and after treatment. ROIs were drawn in homogenous sections of the
tumour and analyzed based on corresponding TUNEL histology images. MTR
decreased more than 1 week post-treatment in tumours that responded to
treatment but was unchanged for non-responding tumours. The technique introduced in this
study could potentially introduce a non-invasive way of determining treatment
efficacy based on tumour necrosis/apoptosis.
Introduction
Prostate cancer is the second most prevalent cancer in men
with almost a third of high-risk prostate cancer patients developing recurrence
after radiation treatment1. It is known that insufficient apoptosis
occurs in malignant tumours and, thus, increasing apoptosis is one goal of
cancer treatment2. Non-invasive detection of apoptosis will provide
an early marker of treatment response.
Magnetization transfer (MT)-prepared pulse sequences are
sensitive to magnetization exchange between water and semisolid macromolecules,
such as lipid bilayers3. Therefore, the magnitude of the MT effect
seen in the active regions of a tumour is sensitive to cell membrane
permeability and changes in membrane structure and integrity. Apoptosis affects
cell membrane permeability and should therefore cause changes in MT.
The current study investigated the MT effect as a response
to radiation treatment. The goal of this work is to find a non-invasive method
to measure the response to radiation therapy based on the presence of
necrosis/apoptosis that can predict whether or not a given tumour is responding
to radiation treatment.Methods
Approximately 3 × 106 DU145 human prostate
adenocarcinoma cells4 were injected in the hind limbs of female athymic
nude mice (n = 6). After 4-6 weeks of growth, tumours were imaged at 7T
(BioSpec 70/30 USR). T2-weighted structural images were acquired
(RARE; TR = 2500 ms; TE = 9.2 ms;
FOV = 20 mm × 20 mm × 7.5 mm;
slice thickness = 0.5 mm; matrix = 128 × 128;
RARE factor = 12; bandwidth = 33 kHz;
averages = 4; 6 min, 40 s). Saturation transfer images,
with saturation B1s of 3 and 6 μT at 11 logarithmically spaced
offsets between 300 and 3 ppm, were processed to obtain Z-spectra sensitive to
the direct water saturation effect and MT from macromolecules.
Tumours were treated with a single dose of radiation at 6.3
Gy for 3.5 min to simulate a standard human dose. MRI was done 24-72 h before
treatment, 48-72 h after treatment, and again 8-20 days after treatment. Tumours
were excised and histologically stained for structure (H+E) and
necrosis/apoptosis (TUNEL).
Two distinct regions of interest (ROIs) were drawn on the T2-weighted
images in relatively homogenous sections of the tumour and were consistent
between time points. MT spectra in the ROI voxels were analyzed and fitted to a
two-pool quantitative MT model5. This model was fitted to the T1 map
and Z-spectra with B1 = 3 and 6 μT. The free parameters were: T2 of the
water pool (T2,L), exchange rate from the MT pool to the water pool (R),
initial magnetization of the MT pool relative to the water pool (M0,MT),
and T2 of the MT pool (T2,MT). Tumour volumes were calculated based on the
structural T2-weighted images.Results
Not all tumours responded to the radiation treatment. Figure
1 shows representative T2-weighted images for responders and
non-responders at all time points, along with corresponding H+E- and
TUNEL-stained histology sections. ROIs selected for quantitative analysis are
shown on the T2-weighted images. The total volume of each tumour
increased linearly over the course of the study (not shown).
Figure 2 shows MT spectra acquired pre- and post-treatment
at 3 and 6 μT
for both representative tumours.
Magnetization Transfer Ratio (MTR) decreased more than 1 week post-treatment in tumours
responding to treatment but was unchanged for non-responding tumours (Figure
3A). The qMT model parameter of (R1,LT2,L)-1
decreased >1 week post-treatment for responding tumours, but increased
for the same time period in non-responders (Figure 3B). RMTM0,MT/R1,L
slightly increased >1 week post-treatment in responders, but decreased in
non-responders (Figure 3C). Discussion
The presence of TUNEL staining corresponds to
necrosis/apoptosis, which indicates a positive response to radiation treatment.
The histology image of the responder showed a large amount of TUNEL staining,
signifying that this tumour responded to the radiation treatment.
Correspondingly, the MTR decreased over time (see Responder data in Figure 3A).
Those changes in MTR are mostly related to a decrease in the quantitative MT
parameter (R1,LT2,L)-1,
which is proportional to the full width at half maximum of the direct effect.
All of the remaining MT parameters did not change over treatment indicating
that the observed changes are due to changes in tumour T1 and T2 relaxation.
As expected, the effects of treatment were not reflected by
a decrease in overall tumour size within the time frame of this experiment. With
a single dose of radiation, it may be possible to see a reduction in tumour volume
over the course of a few months, but is unlikely to be seen within 3 weeks.
This type of experiment is difficult to conduct using
ROI-based analysis of single slice images. It is challenging to keep ROIs
consistent between images acquired at different time points and to ensure
proper image registration between MRI and histology.Conclusion
This experiment suggests that MTR and quantitative MT
fitting are a sensitive and specific marker of treatment response. The
technique presented in this study could potentially introduce a non-invasive
way of determining treatment efficacy based on tumour necrosis/apoptosis.Acknowledgements
The authors thank the Canadian Institutes of Health Research
(grant number PJT148660) and Terry Fox Research Institute (grant number 1083) for
funding.References
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