Endre Grøvik1,2, Kathrine Røe Redalen3, Sebastian Meltzer3,4, Anne Negård5, Stein Harald Holmedal5, Anne Hansen Ree3,4, Tryggve Holck Storås1, Atle Bjørnerud1,2, and Kjell-Inge Gjesdal6
1The Intervention Centre, Oslo University Hospital, Oslo, Norway, 2Department of Physics, University of Oslo, Oslo, Norway, 3Department of Oncology, Akershus University Hospital, Lørenskog, Norway, 4Faculty of Medicine, University of Oslo, Oslo, Norway, 5Department of Radiology, Akershus University Hospital, Lørenskog, Norway, 6Sunnmøre MR klinikk AS, Ålesund, Norway
Synopsis
The purpose was to evaluate the association between the dynamic change in
R2*, obtained from a multi-echo dynamic contrast-based acquisition, and
clinicopathologic data in patients with rectal cancer. Twenty patients were
examined using a high temporal resolution multi-echo EPI sequence. Dynamic R2* images were calculated by assuming a mono-exponential
dependence of signal change on echo-time, and parametric images representing
the maximum peak change in R2*, ΔR2*-peak, were
generated. Tumor ΔR2*-peak significantly differentiate
between rectal cancer patients with and without nodal metastases (P=0.01), with an area under the ROC
curve of 0.94.PURPOSE
To evaluate the association between the dynamic change in
R
2*, obtained from a multi-echo dynamic acquisition, and clinicopathologic data
in patients with rectal cancer.
INTRODUCTION
MRI is a central tool in rectal cancer management, and current
guidelines recommend MRI as part of primary staging
1. Designing the optimal treatment for each patient requires
identification of individual tumor aggressiveness prior to commencement of
therapy. However, routine clinical, radiological and pathological parameters
are currently unable to reliably predict individual tumor aggressiveness. To
address unknown causes and mechanisms of rectal cancer aggressiveness, there is
now considerable focus on the tumor-microenvironment. Dynamic contrast-based
MRI is an increasingly popular method for tumor characterization, enabling
quantitative assessment of phenotypic properties of the tumor-microenvironment
2,3. The purpose of this
study was to evaluate the association between the dynamic change in transverse
relaxation rate, R
2*, obtained from a multi-echo dynamic acquisition, and
clinicopathologic data in patients with rectal cancer. To our knowledge, similar data has never before been collected.
MATERIALS AND METHODS
The study was approved by the regional ethics committee. Preoperative MRI
was performed in 20 patients on a Philips Achieva (1,5T). Glucagon and buscopan were administered immediately before the
patient was centered in the scanner. The dose of buscopan was divided in two; giving
half the dose before the dynamic examination. High
spatial-resolution fast spin-echo T
2-weighted images of the pelvic cavity and rectum
were obtained in the sagittal- and transversal planes, and perpendicular
to the tumor axis. Dynamic imaging was performed using a 3D multi-shot EPI
sequence with three echoes using the following parameters: TR=39ms, TE1=4.6ms,
echo spacing=9.3ms, flip angle=28°, EPI-factor=9. The acquired matrix size was
92×90 over a 180×180mm field-of-view. 12 slices of 10mm were acquired. Temporal
resolution was approximately 1.9 s/imaging volume with a total of 60 dynamic
series acquired. ProSet fat suppression was applied along with a parallel
imaging (SENSE) factor of 1.7 in the RL-direction. A dose of 0.2mL/kg body
weight of gadolinium-based CA (Dotarem® 279.3mg/mL, Guerbet, Roissy, France) was
injected as a bolus (3mL/s). All slices were
acquired parallel to the T
2-weighted images. Dynamic R
2* image-series were
calculated on a voxel-by-voxel basis by assuming a mono-exponential dependence
of signal-change on echo-time and parametric images representing the maximum peak
change in R
2*, ΔR
2*-peak, were generated. Post-processing
was performed using nordicICE (NordicNeuroLab, Bergen, Norway). Tumor volume-of-interests
were manually delineated by an experienced radiologist. Staging was performed
using the 7th tumor-node-metastasis (TNM) system. T- and N-stages
were scored by histopathological evaluation of surgical specimens whereas M
staging were determined by CT and/or MRI. Mann-Whitney U tests and receiver
operator characteristic (ROC) curve statistics evaluated the associations
between ΔR
2*-peak and clinicopathologic data. Statistical analysis was
performed in R (R Foundation for Statistical Computing, Vienna, Austria).
RESULTS
Figure 1 shows a 73-year-old man histologically
diagnosed with rectal adenocarcinoma. The tumor demonstrated a strong increase
in R
2* during bolus first-pass (a). This is also illustrated in the parametric
map representing ΔR
2*-peak, overlaid a T
2-weighted image
(b). Tumor ΔR
2*-peak was significantly different
in rectal cancer patients with and without nodal metastases (P=0.01), showing a mean value of 24.6±6.4sec
-1 and 37.9±6.9sec
-1, respectively (Figure 2). Area
under the ROC-curve was estimated to 0.94, corresponding to a sensitivity and specificity
of 80% and 100%, respectively.
DISCUSSION
The study showed that ΔR
2*-peak estimates from
the primary tumor is a sensitive parameter for differentiating rectal cancer
patients with and without nodal metastases, representing a main prognostic
marker for development of distant metastasis, which is strongly associated with
survival. Today, evaluation of lymph nodes is challenging and associated with
considerable misinterpretations. Low tumor perfusion, as detected by the low
ΔR
2*-peak in patients with nodal metastasis, may be related to tumor hypoxia, a known adverse factor related to metastasis development
and poor survival. However, this needs to be further investigated. Actual perfusion parameters, as would be
obtained by deconvolution of an AIF with the tissue-response curve, were not
estimated in the current study. However, given the short
duration of the multi-echo AIF, ΔR
2*-peak was assumed
to give a reasonable estimate of the underlying perfusion because in the
limiting condition of the AIF being a delta function (zero duration), the ΔR
2*-peak would directly
reflect perfusion
4.
CONCLUSION
We identified low peak change in R
2* in the
primary tumor as a predictive marker of nodal metastasis. Recognizing the
strong association between nodal metastasis and disease survival, and
that reliable staging of lymph nodes is the most challenging issue in rectal
cancer staging, peak change in tumor R
2* may provide important information
about tumor aggressiveness and serve as a risk-marker for stratification
of patients to more individualized treatment.
Acknowledgements
No acknowledgement found.References
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