Skip to main content
Log in

The value of diffusion kurtosis magnetic resonance imaging for assessing treatment response of neoadjuvant chemoradiotherapy in locally advanced rectal cancer

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

Abstract

Objectives

To evaluate the feasibility and value of diffusion kurtosis (DK) imaging in assessing treatment response to neoadjuvant chemoradiotherapy (CRT) in patients with locally advanced rectal cancer (LARC).

Methods

Forty-one patients were included. All patients underwent pre- and post-CRT DCE-MRI on a 3.0-Tesla MRI scanner. Imaging indices (D app , K app and ADC values) were measured. Change value (∆X) and change ratio (r∆X) were calculated. Pathological tumour regression grade scores (Mandard) were the standard reference (good responders: pTRG 1-2; poor responders: pTRG 3-5). Diagnostic performance was compared using ROC analysis.

Results

For the pre-CRT measurements, pre-D app-10th was significantly lower in the good responder group than that of the poor responder group (p = 0.036). For assessing treatment response to neoadjuvant CRT, pre-D app-10th resulted in AUCs of 0.753 (p = 0.036) with a sensitivity of 66.67 % and a specificity of 77.78 %. The rD app had a relatively high AUC (0.859) and high sensitivity (100 %) compared with other image indices.

Conclusions

DKI is feasible for selecting good responders for neoadjuvant CRT for LARC.

Key Points

LARC responded well after neoadjuvant chemoradiotherapy with lower pre-D app-10th .

LARC responded well with greater increases in mean ADC and D app .

The change ratio of D app (r∆D app ) had a relatively better diagnostic performance.

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
Fig. 4
Fig. 5

Similar content being viewed by others

Abbreviations

ADC:

Apparent diffusion coefficient

CRT:

Chemoradiotherapy

D app :

Apparent diffusion for Gaussian distribution

DKI:

Diffusion kurtosis imaging

K app :

Apparent kurtosis coefficient

LARC:

Locally advanced rectal cancer

mrTRG:

MRI tumour regression grade

pTRG:

Pathological tumour regression grade

ROC:

Receiver operating characteristic

References

  1. Sauer R, Liersch T, Merkel S, Fietkau R, Hohenberger W, Hess C, Becker H, Raab HR, Villanueva MT, Witzigmann H, Wittekind C, Beissbarth T, Rodel C (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 30:1926–1933

    Article  CAS  PubMed  Google Scholar 

  2. Kim DJ, Kim JH, Lim JS, Yu JS, Chung JJ, Kim MJ, Kim KW (2010) Restaging of rectal cancer with MR imaging after concurrent chemotherapy and radiation therapy. Radiographics 30:503–516

    Article  PubMed  Google Scholar 

  3. Barbaro B, Vitale R, Leccisotti L, Vecchio FM, Santoro L, Valentini V, Coco C, Pacelli F, Crucitti A, Persiani R, Bonomo L (2010) Restaging locally advanced rectal cancer with MR imaging after chemoradiation therapy. Radiographics 30:699–716

    Article  PubMed  Google Scholar 

  4. Rodel C, Liersch T, Becker H, Fietkau R, Hohenberger W, Hothorn T, Graeven U, Arnold D, Lang-Welzenbach M, Raab HR, Sulberg H, Wittekind C, Potapov S, Staib L, Hess C, Weigang-Kohler K, Grabenbauer GG, Hoffmanns H, Lindemann F, Schlenska-Lange A, Folprecht G, Sauer R (2012) Preoperative chemoradiotherapy and postoperative chemotherapy with fluorouracil and oxaliplatin versus fluorouracil alone in locally advanced rectal cancer: initial results of the German CAO/ARO/AIO-04 randomised phase 3 trial. Lancet Oncol 13:679–687

    Article  PubMed  Google Scholar 

  5. Sun YS, Zhang XP, Tang L, Ji JF, Gu J, Cai Y, Zhang XY (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 254:170–178

    Article  PubMed  Google Scholar 

  6. Allen SD, Padhani AR, Dzik-Jurasz AS, Glynne-Jones R (2007) Rectal carcinoma: MRI with histologic correlation before and after chemoradiation therapy. AJR Am J Roentgenol 188:442–451

    Article  PubMed  Google Scholar 

  7. Battersby NJ, Balyasnikova S, Brown G (2014) Guiding post-treatment decisions in rectal cancer: mrTRG is a practical place to start. Oncology (Williston Park) 28:677–680

    Google Scholar 

  8. Patel UB, Taylor F, Blomqvist L, George C, Evans H, Tekkis P, Quirke P, Sebag-Montefiore D, Moran B, Heald R, Guthrie A, Bees N, Swift I, Pennert K, Brown G (2011) Magnetic resonance imaging-detected tumor response for locally advanced rectal cancer predicts survival outcomes: MERCURY experience. J Clin Oncol 29:3753–3760

    Article  PubMed  Google Scholar 

  9. Mandard AM, Dalibard F, Mandard JC, Marnay J, Henry-Amar M, Petiot JF, Roussel A, Jacob JH, Segol P, Samama G, Et A (1994) Pathologic assessment of tumor regression after preoperative chemoradiotherapy of esophageal carcinoma. Clinicopathologic correlations. Cancer 73:2680–2686

    Article  CAS  PubMed  Google Scholar 

  10. Lambregts DM, Lahaye MJ, Heijnen LA, Martens MH, Maas M, Beets GL, Beets-Tan RG (2016) MRI and diffusion-weighted MRI to diagnose a local tumour regrowth during long-term follow-up of rectal cancer patients treated with organ preservation after chemoradiotherapy. Eur Radiol 26:2118–2125

    Article  PubMed  Google Scholar 

  11. Hötker AM, Tarlinton L, Mazaheri Y, Woo KM, Gönen M, Saltz LB, Goodman KA, Garcia-Aguilar J, Gollub MJ (2016) Multiparametric MRI in the assessment of response of rectal cancer to neoadjuvant chemoradiotherapy: a comparison of morphological, volumetric and functional MRI parameters. Eur Radiol

  12. 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 21:987–995

    Article  PubMed  Google Scholar 

  13. Kim SH, Lee JM, Hong SH, Kim GH, Lee JY, Han JK, Choi BI (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 253:116–125

    Article  PubMed  Google Scholar 

  14. Jacobs L, Intven M, van Lelyveld N, Philippens M, Burbach M, Seldenrijk K, Los M, Reerink O (2015) Diffusion-weighted MRI for early prediction of treatment response on preoperative chemoradiotherapy for patients with locally advanced rectal cancer: a feasibility study. Ann Surg 263:522–528

    Article  Google Scholar 

  15. Lambrecht M, Vandecaveye V, De Keyzer F, Roels S, Penninckx F, Van Cutsem E, Filip C, Haustermans K (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 82:863–870

    Article  PubMed  Google Scholar 

  16. Musio D, De Felice F, Magnante AL, Ciolina M, De Cecco CN, Rengo M, Redler A, Laghi A, Raffetto N, Tombolini V (2013) Diffusion-weighted magnetic resonance application in response prediction before, during, and after neoadjuvant radiochemotherapy in primary rectal cancer carcinoma. Biomed Res Int 2013:740195

    Article  PubMed  PubMed Central  Google Scholar 

  17. Monguzzi L, Ippolito D, Bernasconi DP, Trattenero C, Galimberti S, Sironi S (2013) Locally advanced rectal cancer: value of ADC mapping in prediction of tumor response to radiochemotherapy. Eur J Radiol 82:234–240

    Article  PubMed  Google Scholar 

  18. Beets-Tan RG, Lambregts DM, Maas M, Bipat S, Barbaro B, Caseiro-Alves F, Curvo-Semedo L, Fenlon HM, Gollub MJ, Gourtsoyianni S, Halligan S, Hoeffel C, Kim SH, Laghi A, Maier A, Rafaelsen SR, Stoker J, Taylor SA, Torkzad MR, Blomqvist L (2013) Magnetic resonance imaging for the clinical management of rectal cancer patients: recommendations from the 2012 European Society of Gastrointestinal and Abdominal Radiology (ESGAR) consensus meeting. Eur Radiol 23:2522–2531

    Article  PubMed  Google Scholar 

  19. Jensen JH, Helpern JA, Ramani A, Lu H, Kaczynski K (2005) Diffusional kurtosis imaging: the quantification of non-gaussian water diffusion by means of magnetic resonance imaging. Magn Reson Med 53:1432–1440

    Article  PubMed  Google Scholar 

  20. Lu H, Jensen JH, Ramani A, Helpern JA (2006) Three-dimensional characterization of non-gaussian water diffusion in humans using diffusion kurtosis imaging. NMR Biomed 19:236–247

    Article  PubMed  Google Scholar 

  21. Quentin M, Pentang G, Schimmoller L, Kott O, Muller-Lutz A, Blondin D, Arsov C, Hiester A, Rabenalt R, Wittsack HJ (2014) Feasibility of diffusional kurtosis tensor imaging in prostate MRI for the assessment of prostate cancer: preliminary results. Magn Reson Imaging 32:880–885

    Article  PubMed  Google Scholar 

  22. Rosenkrantz AB, Sigmund EE, Johnson G, Babb JS, Mussi TC, Melamed J, Taneja SS, Lee VS, Jensen JH (2012) Prostate cancer: feasibility and preliminary experience of a diffusional kurtosis model for detection and assessment of aggressiveness of peripheral zone cancer. Radiology 264:126–135

    Article  PubMed  Google Scholar 

  23. Sun K, Chen X, Chai W, Fei X, Fu C, Yan X, Zhan Y, Chen K, Shen K, Yan F (2015) Breast cancer: diffusion kurtosis MR imaging-diagnostic accuracy and correlation with clinical-pathologic factors. Radiology 277:46–55

    Article  PubMed  Google Scholar 

  24. Raab P, Hattingen E, Franz K, Zanella FE, Lanfermann H (2010) Cerebral gliomas: diffusional kurtosis imaging analysis of microstructural differences. Radiology 254:876–881

    Article  PubMed  Google Scholar 

  25. Van Cauter S, Veraart J, Sijbers J, Peeters RR, Himmelreich U, De Keyzer F, Van Gool SW, Van Calenbergh F, De Vleeschouwer S, Van Hecke W, Sunaert S (2012) Gliomas: diffusion kurtosis MR imaging in grading. Radiology 263:492–501

    Article  PubMed  Google Scholar 

  26. Vecchio FM, Valentini V, Minsky BD, Padula GD, Venkatraman ES, Balducci M, Micciche F, Ricci R, Morganti AG, Gambacorta MA, Maurizi F, Coco C (2005) The relationship of pathologic tumor regression grade (TRG) and outcomes after preoperative therapy in rectal cancer. Int J Radiat Oncol Biol Phys 62:752–760

    Article  PubMed  Google Scholar 

  27. 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 

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

    Article  PubMed  Google Scholar 

  29. Barbaro B, Fiorucci C, Tebala C, Valentini V, Gambacorta MA, Vecchio FM, Rizzo G, Coco C, Crucitti A, Ratto C, Bonomo L (2009) Locally advanced rectal cancer: MR imaging in prediction of response after preoperative chemotherapy and radiation therapy. Radiology 250:730–739

    Article  PubMed  Google Scholar 

  30. Curvo-Semedo L, Lambregts DM, Maas M, Thywissen T, Mehsen RT, Lammering G, Beets GL, Caseiro-Alves F, Beets-Tan RG (2011) Rectal cancer: assessment of complete response to preoperative combined radiation therapy with chemotherapy--conventional MR volumetry versus diffusion-weighted MR imaging. Radiology 260:734–743

    Article  PubMed  Google Scholar 

  31. Nougaret S, Rouanet P, Molinari N, Pierredon MA, Bibeau F, Azria D, Lemanski C, Assenat E, Duffour J, Ychou M, Reinhold C, Gallix B (2012) MR volumetric measurement of low rectal cancer helps predict tumor response and outcome after combined chemotherapy and radiation therapy. Radiology 263:409–418

    Article  PubMed  Google Scholar 

  32. Chen CC, Lee RC, Lin JK, Wang LW, Yang SH (2005) How accurate is magnetic resonance imaging in restaging rectal cancer in patients receiving preoperative combined chemoradiotherapy? Dis Colon Rectum 48:722–728

    Article  PubMed  Google Scholar 

  33. Harrison L, Blackwell K (2004) Hypoxia and anemia: factors in decreased sensitivity to radiation therapy and chemotherapy? Oncologist 9:31–40

    Article  PubMed  Google Scholar 

  34. Lambrecht M, Deroose C, Roels S, Vandecaveye V, Penninckx F, Sagaert X, van Cutsem E, de Keyzer F, Haustermans K (2010) The use of FDG-PET/CT and diffusion-weighted magnetic resonance imaging for response prediction before, during and after preoperative chemoradiotherapy for rectal cancer. Acta Oncol 49:956–963

    Article  PubMed  Google Scholar 

  35. Lambregts DM, Beets GL, Maas M, Curvo-Semedo L, Kessels AG, Thywissen T, Beets-Tan RG (2011) Tumour ADC measurements in rectal cancer: effect of ROI methods on ADC values and interobserver variability. Eur Radiol 21:2567–2574

    Article  PubMed  PubMed Central  Google Scholar 

  36. Woodhams R, Kakita S, Hata H, Iwabuchi K, Umeoka S, Mountford CE, Hatabu H (2009) Diffusion-weighted imaging of mucinous carcinoma of the breast: evaluation of apparent diffusion coefficient and signal intensity in correlation with histologic findings. AJR Am J Roentgenol 193:260–266

    Article  PubMed  Google Scholar 

  37. Cho SH, Kim GC, Jang YJ, Ryeom H, Kim HJ, Shin KM, Park JS, Choi GS, Kim SH (2015) Locally advanced rectal cancer: post-chemoradiotherapy ADC histogram analysis for predicting a complete response. Acta Radiol 56:1042–1050

    Article  PubMed  Google Scholar 

Download references

Acknowledgments

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.

Electronic supplementary material

Below is the link to the electronic supplementary material.

ESM 1

(DOCX 14 kb)

ESM 2

(DOCX 16 kb)

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., Song, JC. et al. The value of diffusion kurtosis magnetic resonance imaging for assessing treatment response of neoadjuvant chemoradiotherapy in locally advanced rectal cancer. Eur Radiol 27, 1848–1857 (2017). https://doi.org/10.1007/s00330-016-4529-6

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00330-016-4529-6

Keywords

Navigation