Skip to main content

Advertisement

Log in

Multiparametric MRI in the assessment of response of rectal cancer to neoadjuvant chemoradiotherapy: A comparison of morphological, volumetric and functional MRI parameters

  • Gastrointestinal
  • Published:
European Radiology Aims and scope Submit manuscript

Abstract

Purpose

To compare morphological and functional MRI metrics and determine which ones perform best in assessing response to neoadjuvant chemoradiotherapy (CRT) in rectal cancer.

Materials and methods

This retrospective study included 24 uniformly-treated patients with biopsy-proven rectal adenocarcinoma who underwent MRI, including diffusion-weighted (DW) and dynamic contrast-enhanced (DCE) sequences, before and after completion of CRT. On all MRI exams, two experienced readers independently measured longest and perpendicular tumour diameters, tumour volume, tumour regression grade (TRG) and tumour signal intensity ratio on T2-weighted imaging, as well as tumour volume and apparent diffusion coefficient on DW-MRI and tumour volume and transfer constant Ktrans on DCE-MRI. These metrics were correlated with histopathological percent tumour regression in the resected specimen (%TR). Inter-reader agreement was assessed using the concordance correlation coefficient (CCC).

Results

For both readers, post-treatment DW-MRI and DCE-MRI volumetric tumour assessments were significantly associated with %TR; DCE-MRI volumetry showed better inter-reader agreement (CCC=0.700) than DW-MRI volumetry (CCC=0.292). For one reader, mrTRG, post-treatment T2 tumour volumetry and assessments of volume change made with T2, DW-MRI and DCE-MRI were also significantly associated with %TR.

Conclusion

Tumour volumetry on post-treatment DCE-MRI and DW-MRI correlated well with %TR, with DCE-MRI volumetry demonstrating better inter-reader agreement.

Key Points

Volumetry on post-treatment DCE-/DW-MRI sequences correlated well with histopathological tumour regression.

DCE-MRI volumetry demonstrated good inter-reader agreement.

Inter-reader agreement was higher for DCE-MRI volumetry than for DW-MRI volumetry.

DCE-MRI volumetry merits further investigation as a metric for evaluating treatment response.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  1. Habr-Gama A (2006) Assessment and management of the complete clinical response of rectal cancer to chemoradiotherapy. Colorectal Dis 8(Suppl 3):21–24

    Article  PubMed  Google Scholar 

  2. Beets-Tan RG, Beets GL (2011) Local staging of rectal cancer: a review of imaging. J Magn Reson Imaging 33(5):1012–1019

    Article  PubMed  Google Scholar 

  3. Barbaro B, Fiorucci C, Tebala C, Valentini V, Gambacorta MA, Vecchio FM et al (2009) Locally advanced rectal cancer: MR imaging in prediction of response after preoperative chemotherapy and radiation therapy. Radiology 250(3):730–739

    Article  PubMed  Google Scholar 

  4. Kuo LJ, Chern MC, Tsou MH, Liu MC, Jian JJ, Chen CM et al (2005) Interpretation of magnetic resonance imaging for locally advanced rectal carcinoma after preoperative chemoradiation therapy. Dis Colon Rectum 48(1):23–28

    Article  PubMed  Google Scholar 

  5. Patel UB, Taylor F, Blomqvist L, George C, Evans H, Tekkis P et al (2011) Magnetic resonance imaging-detected tumor response for locally advanced rectal cancer predicts survival outcomes: MERCURY experience. J Clin Oncol 29(28):3753–3760

    Article  PubMed  Google Scholar 

  6. Patel UB, Brown G, Rutten H, West N, Sebag-Montefiore D, Glynne-Jones R et al (2012) Comparison of magnetic resonance imaging and histopathological response to chemoradiotherapy in locally advanced rectal cancer. Ann Surg Oncol 19(9):2842–2852

    Article  PubMed  Google Scholar 

  7. Kluza E, Rozeboom ED, Maas M, Martens M, Lambregts DM, Slenter J et al (2013) T2 weighted signal intensity evolution may predict pathological complete response after treatment for rectal cancer. Eur Radiol 23(1):253–261

    Article  PubMed  Google Scholar 

  8. Barbaro B, Vitale R, Valentini V, Illuminati S, Vecchio FM, Rizzo G et al (2012) Diffusion-weighted magnetic resonance imaging in monitoring rectal cancer response to neoadjuvant chemoradiotherapy. Int J Radiat Oncol Biol Phys 83(2):594–599

    Article  PubMed  Google Scholar 

  9. Curvo-Semedo L, Lambregts DM, Maas M, Beets GL, Caseiro-Alves F, Beets-Tan RG (2012) Diffusion-weighted MRI in rectal cancer: apparent diffusion coefficient as a potential noninvasive marker of tumor aggressiveness. J Magn Reson Imaging 35(6):1365–1371

    Article  PubMed  Google Scholar 

  10. Elmi A, Hedgire SS, Covarrubias D, Abtahi SM, Hahn PF, Harisinghani M (2013) Apparent diffusion coefficient as a non-invasive predictor of treatment response and recurrence in locally advanced rectal cancer. Clin Radiol 68(10):e524–e531

    Article  CAS  PubMed  Google Scholar 

  11. Ha HI, Kim AY, Yu CS, Park SH, Ha HK (2013) Locally advanced rectal cancer: diffusion-weighted MR tumour volumetry and the apparent diffusion coefficient for evaluating complete remission after preoperative chemoradiation therapy. Eur Radiol 23(12):3345–3353

    Article  PubMed  Google Scholar 

  12. Jung SH, Heo SH, Kim JW, Jeong YY, Shin SS, Soung MG et al (2012) Predicting response to neoadjuvant chemoradiation therapy in locally advanced rectal cancer: diffusion-weighted 3 Tesla MR imaging. J Magn Reson Imaging 35(1):110–116

    Article  PubMed  Google Scholar 

  13. Kim SH, Lee JM, Hong SH, Kim GH, Lee JY, Han JK et al (2009) Locally advanced rectal cancer: added value of diffusion-weighted MR imaging in the evaluation of tumor response to neoadjuvant chemo- and radiation therapy. Radiology 253(1):116–125

    Article  PubMed  Google Scholar 

  14. Lambrecht M, Vandecaveye V, de Keyzer F, Roels S, Penninckx F, van Cutsem E et al (2012) Value of diffusion-weighted magnetic resonance imaging for prediction and early assessment of response to neoadjuvant radiochemotherapy in rectal cancer: preliminary results. Int J Radiat Oncol Biol Phys 82(2):863–870

    Article  PubMed  Google Scholar 

  15. Sun YS, Zhang XP, Tang L, Ji JF, Gu J, Cai Y et al (2010) Locally advanced rectal carcinoma treated with preoperative chemotherapy and radiation therapy: preliminary analysis of diffusion-weighted MR imaging for early detection of tumor histopathologic downstaging. Radiology 254(1):170–178

    Article  PubMed  Google Scholar 

  16. van der Paardt MP, Zagers MB, Beets-Tan RGH, Stoker J, Bipat S (2013) Patients Who Undergo Preoperative Chemoradiotherapy for Locally Advanced Rectal Cancer Restaged by Using Diagnostic MR Imaging: A Systematic Review and Meta-Analysis. Radiology 269(1):101–112

    Article  PubMed  Google Scholar 

  17. Cai P, Wu Y, An X, Qiu X, Kong L, Liu G et al (2014) Simple measurements on diffusion-weighted MR imaging for assessment of complete response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer. Eur Radiol 24(11):2962–2970

    Article  PubMed  Google Scholar 

  18. de Lussanet QG, Backes WH, Griffioen AW, Padhani AR, Baeten CI, van Baardwijk A et al (2005) Dynamic contrast-enhanced magnetic resonance imaging of radiation therapy-induced microcirculation changes in rectal cancer. Int J Radiat Oncol Biol Phys 63(5):1309–1315

    Article  PubMed  Google Scholar 

  19. Devries AF, Griebel J, Kremser C, Judmaier W, Gneiting T, Kreczy A et al (2001) Tumor microcirculation evaluated by dynamic magnetic resonance imaging predicts therapy outcome for primary rectal carcinoma. Cancer Res 61(6):2513–2516

    CAS  PubMed  Google Scholar 

  20. Devries AF, Kremser C, Hein PA, Griebel J, Krezcy A, Ofner D et al (2003) Tumor microcirculation and diffusion predict therapy outcome for primary rectal carcinoma. Int J Radiat Oncol Biol Phys 56(4):958–965

    Article  PubMed  Google Scholar 

  21. Dinter DJ, Horisberger K, Zechmann C, Wenz F, Brade J, Willeke F et al (2009) Can dynamic MR imaging predict response in patients with rectal cancer undergoing cetuximab-based neoadjuvant chemoradiation? Onkologie 32(3):86–93

    PubMed  Google Scholar 

  22. Oberholzer K, Menig M, Pohlmann A, Junginger T, Heintz A, Kreft A et al (2012) Rectal cancer: Assessment of response to neoadjuvant chemoradiation by dynamic contrast-enhanced MRI. J Magnet Reson Imaging 38(1):119–126

    Article  Google Scholar 

  23. Gollub MJ, Gultekin DH, Akin O, Do RK, Fuqua JL, Gonen M et al (2012) Dynamic contrast enhanced-MRI for the detection of pathological complete response to neoadjuvant chemotherapy for locally advanced rectal cancer. Eur Radiol 22(4):821–831

    Article  CAS  PubMed  Google Scholar 

  24. Lim JS, Kim D, Baek SE, Myoung S, Choi J, Shin SJ et al (2012) Perfusion MRI for the prediction of treatment response after preoperative chemoradiotherapy in locally advanced rectal cancer. Eur Radiol 22(8):1693–1700

    Article  PubMed  Google Scholar 

  25. Curvo-Semedo L, Lambregts DM, Maas M, Thywissen T, Mehsen RT, Lammering G et al (2011) Rectal cancer: assessment of complete response to preoperative combined radiation therapy with chemotherapy--conventional MR volumetry versus diffusion-weighted MR imaging. Radiology 260(3):734–743

    Article  PubMed  Google Scholar 

  26. Nougaret S, Rouanet P, Molinari N, Pierredon MA, Bibeau F, Azria D et al (2012) MR volumetric measurement of low rectal cancer helps predict tumor response and outcome after combined chemotherapy and radiation therapy. Radiology 263(2):409–418

    Article  PubMed  Google Scholar 

  27. Nougaret S, Fujii S, Addley HC, Bibeau F, Pandey H, Mikhael H et al (2013) Neoadjuvant chemotherapy evaluation by MRI volumetry in rectal cancer followed by chemoradiation and total mesorectal excision: Initial experience. J Magn Reson Imaging 38(3):726–732

    Article  PubMed  Google Scholar 

  28. Benson AB, Bekaii-Saab T, Chan E, Chen Y, Choti MA, Cooper HS et al (2012) Rectal cancer. J Natl Compr Cancer Netw 10(12):1528–1564

    CAS  Google Scholar 

  29. Eisenhauer EA, Therasse P, Bogaerts J, Schwartz LH, Sargent D, Ford R et al (2009) New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1). Eur J Cancer 45(2):228–247

    Article  CAS  PubMed  Google Scholar 

  30. Miller AB, Hoogstraten B, Staquet M, Winkler A (1981) Reporting results of cancer treatment. Cancer 47(1):207–214

    Article  CAS  PubMed  Google Scholar 

  31. Kim SH, Lee JY, Lee JM, Han JK, Choi BI (2011) Apparent diffusion coefficient for evaluating tumour response to neoadjuvant chemoradiation therapy for locally advanced rectal cancer. Eur Radiol 21(5):987–995

    Article  PubMed  Google Scholar 

  32. Tofts PS, Brix G, Buckley DL, Evelhoch JL, Henderson E, Knopp MV et al (1999) Estimating kinetic parameters from dynamic contrast-enhanced T(1)-weighted MRI of a diffusable tracer: standardized quantities and symbols. J Magn Reson Imaging 10(3):223–232

    Article  CAS  PubMed  Google Scholar 

  33. Schneider CA, Rasband WS, Eliceiri KW (2012) NIH Image to ImageJ: 25 years of image analysis. Nat Methods 9(7):671–675

    Article  CAS  PubMed  Google Scholar 

  34. Shia J, Guillem JG, Moore HG, Tickoo SK, Qin J, Ruo L et al (2004) Patterns of morphologic alteration in residual rectal carcinoma following preoperative chemoradiation and their association with long-term outcome. Am J Surg Pathol 28(2):215–223

    Article  PubMed  Google Scholar 

  35. Trakarnsanga A, Gönen M, Shia J, Nash GM, Temple LK, Guillem JG et al (2014) Comparison of tumor regression grade systems for locally advanced rectal cancer after multimodality treatment. J Natl Cancer Inst 106(10)

  36. Lin LI (1989) A concordance correlation coefficient to evaluate reproducibility. Biometrics 45(1):255–268

    Article  CAS  PubMed  Google Scholar 

  37. Sauer R, Liersch T, Merkel S, Fietkau R, Hohenberger W, Hess C et al (2012) Preoperative versus postoperative chemoradiotherapy for locally advanced rectal cancer: results of the German CAO/ARO/AIO-94 randomized phase III trial after a median follow-up of 11 years. J Clin Oncol Off J Am Soc Clin Oncol 30(16):1926–1933

    Article  CAS  Google Scholar 

  38. Lambregts, Doenja MJ, Rao S, Sassen S, Martens MH, Heijnen LA, Buijsen J et al (2014) MRI and Diffusion-Weighted MRI Volumetry for Identification of Complete Tumor Responders After Preoperative Chemoradiotherapy in Patients With Rectal Cancer: A Bi-institutional Validation Study. Ann Surg. doi:10.1097/SLA.0000000000000909

    Google Scholar 

  39. Hötker AM, Garcia-Aguilar J, Gollub MJ (2014) Multiparametric MRI of rectal cancer in the assessment of response to therapy: a systematic review. Dis Colon Rectum 57(6):790–799

    Article  PubMed  Google Scholar 

  40. Chetty R, Gill P, Govender D, Bateman A, Chang HJ, Deshpande V et al (2012) International study group on rectal cancer regression grading: interobserver variability with commonly used regression grading systems. Hum Pathol 43(11):1917–1923

    Article  PubMed  Google Scholar 

  41. Vallbohmer D, Bollschweiler E, Brabender J, Wedemeyer I, Grimminger PP, Metzger R et al (2012) Evaluation of histological regression grading systems in the neoadjuvant therapy of rectal cancer: do they have prognostic impact? Int J Color Dis 27(10):1295–1301

    Article  CAS  Google Scholar 

Download references

Acknowledgments

The authors thank Ada Muellner, MS for editing the manuscript. The research of Kaitlin M. Woo and Mithat Gönen was partly supported by NIH/NCI Cancer Center Support Grant P30 CA008748. The scientific guarantor of this publication is Dr. Marc J. Gollub. The authors of this manuscript declare no relationships with any companies whose products or services may be related to the subject matter of the article. Mithat Gönen PhD and Kaitlin M. Woo MS kindly provided statistical advice for this manuscript. Institutional Review Board approval was obtained. Written informed consent was waived by the Institutional Review Board. No study subjects or cohorts have been previously reported. Methodology: retrospective, experimental, performed at one institution.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Andreas M. Hötker.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Hötker, A.M., Tarlinton, L., Mazaheri, Y. et al. Multiparametric MRI in the assessment of response of rectal cancer to neoadjuvant chemoradiotherapy: A comparison of morphological, volumetric and functional MRI parameters. Eur Radiol 26, 4303–4312 (2016). https://doi.org/10.1007/s00330-016-4283-9

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00330-016-4283-9

Keywords

Navigation