Skip to main content

Advertisement

Log in

Prognostic aspects of dynamic contrast-enhanced magnetic resonance imaging in synchronous distant metastatic rectal cancer

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

Abstract

Objectives

To explore the correlations between DCE-MRI quantitative parameters and synchronous distant metastasis and the clinicopathological factors in rectal cancers.

Methods

Sixty-three patients with rectal cancer (synchronous distant metastasis, n = 31; non-metastasis, n = 32) were enrolled in this study. Student’s t test and ANOVA were used to compare DCE-MRI parameters (K trans, K ep and V e ). The receiver operating characteristic (ROC) analysis was used to find the reasonable threshold of DCE-MRI parameters to differentiate lesions with synchronous distant metastasis from those without metastasis.

Results

The K trans, K ep , and V e value were significantly higher in the lesions with distant metastasis than in the lesions without distant metastasis (0.536 ± 0.242 vs. 0.299 ± 0.118 min-1, p < 0.001; 1.598 ± 0.477 vs. 1.341 ± 0.390 min-1, p = 0.022; and 0.324 ± 0.173 vs. 0.249 ± 0.091, p = 0.034; respectively). The K trans showed the highest AUCs of 0.788 (p < 0.001), with sensitivity of 61.29 % and specificity of 87.5 %, respectively.

Conclusions

DCE-MRI parameters may represent a prognostic indicator for synchronous distant metastases in patients with rectal cancer.

Key Points

The K trans , K ep and V e values correlated with synchronous distant metastasis.

Higher K trans , K ep and V e values were noted among patients with metastasis.

DCE-MRI parameters might represent a prognostic indicator for synchronous distant metastases.

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

Abbreviations

AUC:

Area under the curve

CEA:

Carcinoembryonic antigen

DCE-MRI:

Dynamic contrast-enhanced magnetic resonance imaging

EES:

Extravascular-extracellular space

k ep :

Rate constant from EES to blood plasma (min-1)

K trans :

Volume transfer constant between EES and blood plasma (min-1)

LVI:

Lymphovascular invasion

ROC:

Receiver operating characteristic

V e :

EES volume per unit tissue volume

References

  1. Engelen SM, Maas M, Lahaye MJ, Leijtens JW, van Berlo CL, Jansen RL et al (2013) Modern multidisciplinary treatment of rectal cancer based on staging with magnetic resonance imaging leads to excellent local control, but distant control remains a challenge. Eur J Cancer 49:2311–2320

    Article  CAS  PubMed  Google Scholar 

  2. Meguerditchian AN, Bairati I, Lagace R, Harel F, Kibrite A (2005) Prognostic significance of lymphovascular invasion in surgically cured rectal carcinoma. Am J Surg 189:707–713

    Article  PubMed  Google Scholar 

  3. Hong HS, Kim SH, Park HJ, Park MS, Kim KW, Kim WH et al (2013) Correlations of dynamic contrast-enhanced magnetic resonance imaging with morphologic, angiogenic, and molecular prognostic factors in rectal cancer. Yonsei Med J 54:123–130

    Article  PubMed  Google Scholar 

  4. Shihab OC, Moran BJ, Heald RJ, Quirke P, Brown G (2009) MRI staging of low rectal cancer. Eur Radiol 19:643–650

    Article  PubMed  Google Scholar 

  5. Li L, Wang K, Sun X, Wang K, Sun Y, Zhang G et al (2015) Parameters of dynamic contrast-enhanced MRI as imaging markers for angiogenesis and proliferation in human breast cancer. Med Sci Monit 21:376–382

    Article  PubMed  PubMed Central  Google Scholar 

  6. Lollert A, Junginger T, Schimanski CC, Biesterfeld S, Gockel I, Duber C et al (2014) Rectal cancer: dynamic contrast-enhanced MRI correlates with lymph node status and epidermal growth factor receptor expression. J Magn Reson Imaging 39:1436–1442

    Article  PubMed  Google Scholar 

  7. Padhani AR (2002) Dynamic contrast-enhanced MRI in clinical oncology: current status and future directions. J Magn Reson Imaging 16:407–422

    Article  PubMed  Google Scholar 

  8. 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 10:223–232

    Article  CAS  PubMed  Google Scholar 

  9. DeLong ER, DeLong DM, Clarke-Pearson DL (1988) Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics 44:837–845

    Article  CAS  PubMed  Google Scholar 

  10. Schisterman EF, Perkins NJ, Liu A, Bondell H (2005) Optimal cut-point and its corresponding Youden Index to discriminate individual using pooled blood samples. Epidemiology 16:73–81

    Article  PubMed  Google Scholar 

  11. Fidler IJ, Ellis LM (1994) The implications of angiogenesis for the biology and therapy of cancer metastasis. Cell 79:185–188

    Article  CAS  PubMed  Google Scholar 

  12. Koo HR, Cho N, Song IC, Kim H, Chang JM, Yi A et al (2012) Correlation of perfusion parameters on dynamic contrast-enhanced MRI with prognostic factors and subtypes of breast cancers. J Magn Reson Imaging 36:145–151

    Article  PubMed  Google Scholar 

  13. Chen J, Qian T, Zhang H, Wei C, Meng F, Yin H (2016) Combining dynamic contrast enhanced magnetic resonance imaging and microvessel density to assess the angiogenesis after PEI in a rabbit VX2 liver tumor model. Magn Reson Imaging 34:177–182

    Article  CAS  PubMed  Google Scholar 

  14. Yeo DM, Oh SN, Jung CK, Lee MA, Oh ST, Rha SE et al (2015) Correlation of dynamic contrast-enhanced MRI perfusion parameters with angiogenesis and biologic aggressiveness of rectal cancer: preliminary results. J Magn Reson Imaging 41:474–480

    Article  PubMed  Google Scholar 

  15. Gollub MJ, Cao K, Gultekin DH, Kuk D, Gonen M, Sohn M et al (2013) Prognostic aspects of DCE-MRI in recurrent rectal cancer. Eur Radiol 23:3336–3344

    Article  CAS  PubMed  Google Scholar 

  16. Hanahan D, Weinberg RA (2000) The hallmarks of cancer. Cell 100:57–70

    Article  CAS  PubMed  Google Scholar 

  17. Christofori G, Semb H (1999) The role of the cell-adhesion molecule E-cadherin as a tumour-suppressor gene. Trends Biochem Sci 24:73–76

    Article  CAS  PubMed  Google Scholar 

  18. Herzig M, Savarese F, Novatchkova M, Semb H, Christofori G (2007) Tumor progression induced by the loss of E-cadherin independent of beta-catenin/Tcf-mediated Wnt signaling. Oncogene 26:2290–2298

    Article  CAS  PubMed  Google Scholar 

  19. Awasthi R, Rathore RK, Soni P, Sahoo P, Awasthi A, Husain N et al (2012) Discriminant analysis to classify glioma grading using dynamic contrast-enhanced MRI and immunohistochemical markers. Neuroradiology 54:205–213

    Article  PubMed  Google Scholar 

  20. Jia Z, Geng D, Xie T, Zhang J, Liu Y (2012) Quantitative analysis of neovascular permeability in glioma by dynamic contrast-enhanced MR imaging. J Clin Neurosci 19:820–823

    Article  PubMed  Google Scholar 

  21. Huh JW, Kim CH, Lim SW, Kim HR, Kim YJ (2013) Early recurrence in patients undergoing curative surgery for colorectal cancer: is it a predictor for poor overall survival? Int J Colorectal Dis 28:1143–1149

    Article  PubMed  Google Scholar 

  22. Wang L, Zhong XG, Peng YF, Li ZW, Gu J (2014) Prognostic value of pretreatment level of carcinoembryonic antigen on tumour downstaging and early occurring metastasis in locally advanced rectal cancer following neoadjuvant radiotherapy (30 Gy in 10 fractions). Colorectal Dis 16:33–39

    Article  CAS  PubMed  Google Scholar 

  23. Villeneuve PJ, Sundaresan RS (2009) Surgical management of colorectal lung metastasis. Clin Colon Rectal Surg 22:233–241

    Article  PubMed  PubMed Central  Google Scholar 

  24. Davenport MS, Heye T, Dale BM, Horvath JJ, Breault SR, Feuerlein S et al (2013) Inter- and intra-rater reproducibility of quantitative dynamic contrast enhanced MRI using TWIST perfusion data in a uterine fibroid model. J Magn Reson Imaging 38:329–335

    Article  PubMed  Google Scholar 

  25. Sohn B, Lim JS, Kim H, Myoung S, Choi J, Kim NK et al (2015) MRI-detected extramural vascular invasion is an independent prognostic factor for synchronous metastasis in patients with rectal cancer. Eur Radiol 25:1347–1355

    Article  PubMed  Google Scholar 

  26. Kim YC, Kim JK, Kim MJ, Lee JH, Kim YB, Shin SJ (2016) Feasibility of mesorectal vascular invasion in predicting early distant metastasis in patients with stage T3 rectal cancer based on rectal MRI. Eur Radiol 26:297–305

    Article  PubMed  Google Scholar 

  27. Betge J, Pollheimer MJ, Lindtner RA, Kornprat P, Schlemmer A, Rehak P et al (2012) Intramural and extramural vascular invasion in colorectal cancer: prognostic significance and quality of pathology reporting. Cancer 118:628–638

    Article  PubMed  Google Scholar 

  28. Gunther K, Dworak O, Remke S, Pfluger R, Merkel S, Hohenberger W et al (2002) Prediction of distant metastases after curative surgery for rectal cancer. J Surg Res 103:68–78

    Article  PubMed  Google Scholar 

  29. Lim SB, Yu CS, Jang SJ, Kim TW, Kim JH, Kim JC (2010) Prognostic significance of lymphovascular invasion in sporadic colorectal cancer. Dis Colon Rectum 53:377–384

    Article  PubMed  Google Scholar 

  30. Glynne-Jones R, Anyamene N, Moran B, Harrison M (2012) Neoadjuvant chemotherapy in MRI-staged high-risk rectal cancer in addition to or as an alternative to preoperative chemoradiation? Ann Oncol 23:2517–2526

    Article  CAS  PubMed  Google Scholar 

  31. Chua YJ, Barbachano Y, Cunningham D, Oates JR, Brown G, Wotherspoon A et al (2010) Neoadjuvant capecitabine and oxaliplatin before chemoradiotherapy and total mesorectal excision in MRI-defined poor-risk rectal cancer: a phase 2 trial. Lancet Oncol 11:241–248

    Article  CAS  PubMed  Google Scholar 

  32. Scharitzer M, Ba-Ssalamah A, Ringl H, Kolblinger C, Grunberger T, Weber M et al (2013) Preoperative evaluation of colorectal liver metastases: comparison between gadoxetic acid-enhanced 3.0-T MRI and contrast-enhanced MDCT with histopathological correlation. Eur Radiol 23:2187–2196

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgements

The scientific guarantor of this publication is Hai-Bin Shi. 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. The authors state that this work has not received any funding. No complex statistical methods were necessary for this paper. Institutional Review Board approval was obtained. Written informed consent was waived by the Institutional Review Board. Methodology: retrospective, observational, performed at one institution.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Hai-Bin Shi.

Additional information

Jing Yu and Qing Xu contributed equally to this work.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Yu, J., Xu, Q., Huang, DY. et al. Prognostic aspects of dynamic contrast-enhanced magnetic resonance imaging in synchronous distant metastatic rectal cancer. Eur Radiol 27, 1840–1847 (2017). https://doi.org/10.1007/s00330-016-4532-y

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00330-016-4532-y

Keywords

Navigation