Pretreatment intravoxel incoherent motion diffusion-weighted imaging for predicting the response of locally advanced rectal cancer to neoadjuvant chemoradiation therapy
Hongliang Sun1, Yanyan Xu1, Kaining Shi2, and Wu Wang1

1Radiology, China-Japan Friendship hospital, Beijing, China, People's Republic of, 2Philips Healthcare China, Beijing, China, People's Republic of

Synopsis

Neoadjuvant chemoradiation therapy (CRT) followed by surgery has been established as the standard for locally advanced rectal cancer[1]. The treatment response after CRT is normally evaluated by MRI. However, MRI morphology techniques suffer from limitations in the interpretation of fibrotic scar tissue and inflammation. Diffusion weighted MRI has shown its potentially beneficial role for response evaluation, but with conflicting results[2]. Intravoxel incoherent motion (IVIM) which enable quantitative parameters that separately reflect tissue diffusivity and tissue microcapillary perfusion[3-4]. However, the pretreatment tumor IVIM MRI parameters predicting treatment response were not clarified.

Purpose

To evaluate the role of pretreatment intravoxel incoherent motion (IVIM) parameters in predicting treatment response in patients with locally advanced rectal cancer who underwent chemoradiation therapy (CRT), with postoperative pathological results as the reference standard.

Methods

Forty-six patients (36 men, 10 women; mean age, 59.9 years; age range, 27-79 years) with rectal cancers underwent pelvis magnetic resonance imaging (MRI) examination before and after CRT. All pelvis MRI examinations were performed in 3.0T MR unit (Philips 3.0T Ingenia, Philips Medical System, The Netherlands) including high spatial resolution T2-weighted imaging (T2WI) and diffusion-weighted imaging (DWI) sequences. Totally, eight b values (0, 25, 50, 75, 150, 400, 800 and 1000s/mm2) were used in DWI sequence, and IVIM parameters (D, pure diffusion; f, perfusion fraction; D*, pseudo-diffusion coefficient) were measured independently by two radiologists using bi-exponential model analysis. Patients were categorized as responders to CRT (patients with cancers characterized as T3 or T4 by the first MR imaging converted to lower stage at the second MR imaging or at pathological examination, patients with tumor volume reduction) or non-responders (patients with stable or progressive trend)[5]. The IVIM parameters between CRT responders and non-responders were compared by using independent samples t test or Mann-Whitney U test. Receiver operating characteristic (ROC) analysis was used to evaluate the diagnostic performance of IVIM parameters in predicting the response to CRT. The area under the ROC curve (AUC) and the optimal cut-off values were calculated, meanwhile accuracy rate, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) was determined. Interobserver agreement of IVIM parameter values were evaluated using Kappa values. P<0.05 was considered to indicate a statistically significant difference.

Result

Interobserver agreement for IVIM parameters measurement was good with kappa values range from 0.683 to 0.856. There were 25 CRT responders and 21 non-responders. D values were significantly lower in CRT responders (D =[1.03±0.31]×10-3mm2/s) than in non-responders (D =[1.25±0.24]×10-3mm2/s), while D* and f values showed different trend (CRT responders: D*=[34.51±24.12]×10-3mm2/s, [18.34±6.90]%; non-responders: D*=[14.35±13.19]×10-3mm2/s, [16.81±11.33]%) ( Figure 1-2). According to ROC curve, D and D* values showed diagnostic significance with the AUC values of 0.773, 0.773, respectively. The cutoff values for D and D* were 1.052×10-3mm2/s ( D values of CRT non-responders was greater than this value; accuracy rate 73.91%, sensitivity 80.95%, specificity 68.00%, PPV 68.00%, NPV 80.95% ), 23.516×10-3mm2/s (D* values of CRT responders was greater than this value; accuracy rate 73.91%, sensitivity 68.00%, specificity 80.95%, PPV 80.95%, NPV 68.00% ), respectively.

Conclusion

Pretreatment IVIM parameters (D, D*) measurements were reproducible and may be used as a non-invasive index to evaluate response to CRT in locally advanced rectal cancer.

Acknowledgements

This work was supported by a grant from the National Natural Science Foundation of China (No. 81501469).

References

1. Sauer R, Becker H, Hohenberger W, et al. Preoperative versus postoperative chemoradiotherapy for rectal cancer. N Engl J Med 2004; 351: 1731e40. 2. Hötker AM, Garcia-Aguilar J, Gollub MJ. Multiparametric MRI of rectal cancer in the assessment of response to therapy: a systematic review. Dis Colon Rectum. 2014; 57(6): 790-9. 3. Le Bihan D, Breton E, Lallemand D, et al. Separation of diffusion and perfusion in intravoxel incoherent motion MR imaging. Radiology. 1988;168(2):497-505. 4. Koh DM, Collins DJ, Orton MR. Intravoxel incoherent motion in body diffusion-weighted MRI: reality and challenges. Am J Roentgenol. 2011 Jun;196(6):1351-61. 5. Birlik, B., et al., Diffusion-weighted MRI and MR- volumetry - in the evaluation of tumor response after preoperative chemoradiotherapy in patients with locally advanced rectal cancer. Magnetic Resonance Imaging. 2015. 33(2): 201-212.

Figures

Figure 1. Rectal cancer IVIM parameters (D, D*) in different CRT response groups. Left: D showed statistically difference between CRT non-responders and responders (p=0.012). Right: D* showed statistically difference between CRT non-responders and responders (p=0.001).

Figure 2. Images in 67-year-old man with locally advanced rectal cancer who responded to CRT treatment. First line: Pretreatment axial T2-Weighted MR image (left) and IVIM colour map (right) show large mid-lower rectal cancer, tumor extends over muscularis propria. Some isointense lymph nodes are in the mesorectum (solid black arrows). Second line: Images obtained after CRT show obviously tumor volume regression and a decrease in T2 signal intensity. The lymph nodes have disappeared.



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