Kimberly Li1,2, Abdallah S.R. Mohamed3, Yao Ding4, Musaddiq J Awan5, Steven J Frank3, Jihong Wang6, John D Hazle4, Kate Hutcheson7, Stephan Y Lai7, Jayashree Kalpathy-Cramer8, Xin Li2, Clifton D Fuller3, and Wei Huang2
1International School of Beaverton, Beaverton, OR, United States, 2Advanced Imaging Research Center, Oregon Health & Science University, Portland, OR, United States, 3Department of Radiation Oncology, U.T. MD Anderson Cancer Center, Houston, TX, United States, 4Department of Imaging Physics, U.T. MD Anderson Cancer Center, Houston, TX, United States, 5Department of Radiation Oncology, Case Western Reserve University, Cleveland, OH, United States, 6Department of Radiation Physics, U.T. MD Anderson Cancer Center, Houston, TX, United States, 7Department of Head and Neck Surgery, U.T. MD Anderson Cancer Center, Houston, TX, United States, 8Harvard Medical School, Boston, MA, United States
Synopsis
Head and neck cancer patients are commonly
treated with chemoradiotherapy as standard of care. Although the conventional wisdom is that radiation does not cause
long-term adverse effects in healthy, well-perfused tissues such as muscle,
few studies have evaluated potential biological changes in irradiated muscle tissues
longitudinally during the course of treatment. Here, we report preliminary
findings of such changes as measured by Dynamic Contrast Enhanced Magnetic
Resonance Imaging (DCE-MRI) before, during, and after chemoradiotherapy
treatment of a subset of human papilloma positive (HPV+) oropharyngeal cancer
(OPC).Purpose
Head and neck cancer
patients are commonly treated with chemoradiotherapy as standard of care.
Although it is generally believed that clinically effective radiation doses do
not cause long term muscle tissue damage, few studies evaluated potential biological
changes in irradiated muscle tissues longitudinally during the course of
treatment. Here, we report preliminary findings of such changes as measured by Dynamic
Contrast Enhanced Magnetic Resonance Imaging (DCE-MRI) before, during, and
after chemoradiotherapy treatment of a subset of human papilloma positive
(HPV+) oropharyngeal cancer (OPC).
Methods
Data from nine HPV+OPC patients were
included in this study. Each subject
underwent three DCE-MRIs at the following time points: 1) within one week prior
to, 2) at the mid-point of (3-4 weeks after treatment start), and
3) 6-8 weeks after the chemoradiotherapy treatment. MRI was acquired on 3.0 T Discovery
750 MRI scanner (GE Healthcare, Waukesha, WI) using a custom immobilization
method 1 with the patient on a flat insert table (GE Healthcare) with laterally
placed 6-element flex coils centered on the base of the tongue. The DCE-MRI acquisition
consisted of a 3D SPGR sequence with the following parameters: FA = 15°, TR/TE
= 3.6/1 ms, spatial resolution 2 mm × 2 mm × 4 mm, temporal resolution = 5.5 s,
number of frames = 56, pixel bandwidth = 326 Hz, and parallel imaging (ASSET)
with an acceleration factor of 2. Prior
to the DCE-MRI, the same SPGR sequence was run six times, each with a different
flip angle: 2,5,10,15,20,25 ĚŠ. This variable flip angle approach was used for mapping
native tissue T1. A bolus injection of gadopentetate dimeglumine (Magnevist,
Bayer Healthcare Pharmaceuticals) was administered (dose 0.1 mmol/kg at a rate
of 3 mL/s) followed by a 20 ml saline flush, via a power injector (Spectris MR
Injector, MedRad, Pittsburgh Pa) at a rate of 3 mL/s. A Medrad Solaris
MR-compatible power injector was used for all contrast agent injections in
order to standardize the contrast agent administration. The total duration of
the DCE-MRI acquisition was ~8 min. The superior pharyngeal constrictor (SPC) and
mylohyoid muscles were identified and segmented by an expert radiation
oncologist on DCE-MRI images at all three time points using T2MRI images as reference.
Within these two muscle regions, pixel DCE-MRI
time-courses were modeled individually using the Tofts model 2 with Ktrans
(contrast agent transfer constant) and ve (extravascular
extracellular volume fraction) as the fitting parameters. A previously published 3 arterial
input function (AIF) was used for all pharmacokinetic modeling. Parameter mean
and standard deviation (SD) were calculated from the pixel parameter values.
Results
Figure 1a shows a post-contrast head and neck DCE-MRI image of one subject.
1b-1d are the SPC and mylohyoid muscle K
trans
maps pre-, mid- and post-treatment, respectively.
1e-1g show the corresponding v
e maps. The patterns of K
trans
and v
e elevations are clearly visible throughout the course of
treatment.
Figure 2 summarizes
the 9-subject averaged K
trans and v
e values for the
SPC muscle at three time points. Although the error bars appear to be large, increases in both K
trans
and v
e post-radiation
are observed. The difference in the mean SPC v
e value between pre-
and post-treatment is statistically significant (p=0.01; paired t-test).
Figure 3 shows the Fig. 2 equivalent
for mylohyoid muscle. In this muscle region the differences in mean K
trans
between pre- and mid-treatment (p=0.003), pre- and post-treatment (p=0.004), as
well as the difference in mean v
e between pre- and mid-treatment
(p=0.003), are all statistically
significant.
Discussion
Although the conventional wisdom is that radiation does not cause
long-term adverse effects in healthy, well-perfused tissues like the SPC muscle,
in this preliminary study we observed elevated muscle K
trans
and v
e values post-radiation.
K
trans elevation may indicate a more permeable microvasculature,
while increase in v
e points
to decreased cellularity. Both could be direct consequences of irradiation. All of the 9 HPV+OPC patients achieved
complete clinical responses following completion of the chemoradiotherapy
course. However, the long term radiation toxicity in healthy muscle tissue is
unknown. Post-treatment follow-up of head and neck cancer patients using
quantitative DCE-MRI may provide a useful noninvasive method to evaluate not
only cancer recurrence, but also recovery or deterioration of the irradiated
muscle tissue functionality. This may facilitate more individually tailored
clinical management plans that can help improve a patient’s quality of life.
Acknowledgements
Grant
Support: NIH:
UO1-CA154602. Dr. Fuller received/receives grant support from: the National
Science Foundation, Division of Mathematical Sciences Quantitative Approaches
to Biomedical Big Data initiative (NSF 1557559), the National Institutes of
Health Paul Calabresi Clinical Oncology Award Program (K12 CA088084) and
Clinician Scientist Loan Repayment Program (L30 CA136381-02); Elekta AB/MD
Anderson Consortium; GE Medical Systems/MD Anderson Center for Advanced
Biomedical Imaging In-Kind Award; the MD Anderson Center for Radiation Oncology
Research, and an MD Anderson Institutional Research Grant Program Award. Dr.
Lai receives grant support from Institutional Start-up Funds and the National
Cancer Institute (R21 CA178450).
Dr. Lai and Fuller
are both supported by the National Institute of Dental and Craniofacial
Research (R56 DE025248-01 ).References
1. Ding et al. Pract Radiat Oncol 5(4):e299-308, 2015. 2. Tofts et al. J Magn Reson Imaging
10:223-232, 1999. 3.
Yankeelov, et al. Magn
Reson Med ., 50:1151-1169, 2003.