Dynamic multi-echo MRI of rectal cancer: Quantitative tumor R2* analysis predicts lymph node status
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 R2*, 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 staging1. 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-microenvironment2,3. The purpose of this study was to evaluate the association between the dynamic change in transverse relaxation rate, R2*, 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 T2-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 T2-weighted images. Dynamic R2* 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 R2*, ΔR2*-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 ΔR2*-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 R2* during bolus first-pass (a). This is also illustrated in the parametric map representing ΔR2*-peak, overlaid a T2-weighted image (b). Tumor ΔR2*-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 ΔR2*-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 ΔR2*-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, ΔR2*-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 ΔR2*-peak would directly reflect perfusion4.

CONCLUSION

We identified low peak change in R2* 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 R2* 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

1. Glimelius, B., Tiret, E., Cervantes, A. & Arnold, D. Rectal cancer: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up. Ann. Oncol. 2013;24:vi81–vi88.

2. Alberda, W. J. et al. Prediction of tumor stage and lymph node involvement with dynamic contrast-enhanced MRI after chemoradiotherapy for locally advanced rectal cancer. Int. J. Colorectal Dis. 2013;28:573–580.

3. Tamakawa, M. et al. Gadolinium-enhanced dynamic magnetic resonance imaging with endorectal coil for local staging of rectal cancer. Jpn. J. Radiol. 2010;28:290–298.

4. Zierler, K. L. Equations for Measuring Blood Flow by External Monitoring of Radioisotopes. Circ. Res. 1965;16 309–321.

Figures

Figure 1: Parametric maps representing maximum peak change in R2* and overlaid T2-weighted images (b). The tumor appears highly heterogeneous with hot-spots demonstrating a strong increase in R2*. This can also be seen by extracting the ΔR2*-time curve from a central part of the tumor (a).

Figure 2: Boxplot showing the difference in mean tumor R2*-peak change in patients with pathologic N-stage 0 and 1.



Proc. Intl. Soc. Mag. Reson. Med. 24 (2016)
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