Skip to main content

Are There Functional Imaging Markers to Consider for Treatment Decision Making?

  • Chapter
  • First Online:
Multidisciplinary Management of Rectal Cancer

Abstract

We have entered a new era where imaging not only provides information on tumour size and morphology, but also on functional characteristics of the tumour thereby offering valuable insights into tumour biology, e.g. cellularity, metabolism and vascularity. So far, the largest body of evidence exists for positron emission tomography (PET), diffusion-weighted imaging (DWI) and perfusion imaging. DWI has so far mainly proven valuable for response evaluation after CRT, while PET seems to be particularly promising for early evaluation of response. Perfusion CT seems to be of value for assessment of unfavourable tumour characteristics, while dynamic contrast-enhanced MRI may predict and identify responders. Future large and prospective validation will need to determine the definite clinical value of these techniques.

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

Access this chapter

Institutional subscriptions

Abbreviations

ADC:

Apparent diffusion coefficient

AUC:

Area under the curve

CEA:

Carcinoembryonic antigen

CRT:

Chemoradiotherapy

CT:

Computed tomography

DCE:

Dynamic contrast enhanced

DFS:

Disease free survival

DWI:

Diffusion-weighted (magnetic resonance) imaging

FMISO:

Fluoromisonidazole

MRI:

Magnetic resonance imaging

MVD:

Microvessel density

N-stage:

Nodal stage

OS:

Overall survival

PET/FDG-PET:

Positron emission tomography/18F-fluorodeoxygenase positron emission tomography

RI:

Response Index

SUV:

Standardized uptake value

TME:

Total mesorectal excision

TNM:

Tumour Node Metastasis

T-stage:

Tumour stage

TTP:

Time to peak

Ve:

Volume of extracellular space

VEGF:

Vascular endothelial growth factor

References

  1. 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 tumour aggressiveness. J Magn Reson Imaging 35:1365–1371

    Article  PubMed  Google Scholar 

  2. Atkin G, Taylor NJ, Daley FM, Stirling JJ, Richman P, Glynne-Jones R, d’Arcy JA, Collins DJ, Padhani AR (2006) Dynamic contrast-enhanced magnetic resonance imaging is a poor measure of rectal cancer angiogenesis. Br J Surg 93:992–1000

    Article  CAS  PubMed  Google Scholar 

  3. Kim YE, Lim JS, Choi J, Kim D, Myoung S, Kim MJ, Kim KW (2013) Perfusion parameters of dynamic contrast-enhanced magnetic resonance imaging in patients with rectal cancer: correlation with microvascular density and vascular endothelial growth factor expression. Korean J Radiol 14:878–885

    Article  PubMed  PubMed Central  Google Scholar 

  4. Yeo DM, Oh SN, Jung CK, Lee MA, Oh ST, Rha SE, Jung SE, Byun JY, Gall P, Son Y (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 

  5. Hayano K, Shuto K, Koda K, Yanagawa N, Okazumi S, Matsubara H (2009) Quantitative measurement of blood flow using perfusion CT for assessing clinicopathologic features and prognosis in patients with rectal cancer. Dis Colon Rectum 52:1624–1629

    Article  PubMed  Google Scholar 

  6. Lambregts DMJ, Vandecaveye V, Barbaro B, Bakers FC, Lambrecht M, Maas M, Haustermans K, Valentini V, Beets GL, Beets-Tan RG (2011) Diffusion-weighted MRI for selection of complete responders after chemoradiation for locally advanced rectal cancer: a multicenter study. Ann Surg Oncol 18:2224–2231

    Article  PubMed  PubMed Central  Google Scholar 

  7. Van der Paardt MP, Zagers MB, Beets-Tan RG, 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 269:101–112

    Article  PubMed  Google Scholar 

  8. Intven M, Monninkhof EM, Reerink O, Philippens ME (2015) Combined T2w volumetry, DW-MRI and DCE-MRI for response assessment after neo-adjuvant chemoradiation in locally advanced rectal cancer. Acta Oncol 54:1729–1736

    Google Scholar 

  9. Martens MH, Subhani S, Heijnen LA, Lambregts DM, Buijsen J, Maas M, Riedl RG, Jeukens CR, Beets GL, Kluza E, Beets-Tan RG (2015) Can perfusion MRI predict response to preoperative treatment in rectal cancer? Radiother Oncol 114:218–223

    Article  PubMed  Google Scholar 

  10. Petrillo A, Fusco R, Petrillo M, Granata V, Sansone M, Avallone A, Delrio P, Pecori B, Tatangelo F, Ciliberto G (2015) Standardized index of shape (SIS): a quantitative DCE-MRI parameter to discriminate responders by non-responders after neoadjuvant therapy in LARC. Eur Radiol 25:1935–1945

    Article  PubMed  Google Scholar 

  11. Li C, Lan X, Yuan H, Feng H, Xia X, Zhang Y (2014) 18F-FDG PET predicts pathological response to preoperative chemoradiotherapy in patients with primary rectal cancer: a meta-analysis. Ann Nucl Med 28:436–446

    Article  CAS  PubMed  Google Scholar 

  12. Zhang C, Tong J, Sun X, Liu J, Wang Y, Huang G (2012) 18F-FDG-PET evaluation of treatment response to neo-adjuvant therapy in patients with locally advanced rectal cancer: a meta-analysis. Int J Cancer 131:2604–2611

    Article  CAS  PubMed  Google Scholar 

  13. Intven M, Reerink O, Philippens ME (2013) Diffusion-weighted MRI in locally advanced rectal cancer : pathological response prediction after neo-adjuvant radiochemotherapy. Strahlenter Onkol 189:117–122

    Article  CAS  Google Scholar 

  14. 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 tumour histopathologic downstaging. Radiology 254:170–178

    Article  PubMed  Google Scholar 

  15. Tong T, Sun Y, Gollub MJ, Peng W, Cai S, Zhang Z, Gu Y (2015) Dynamic contrast-enhanced MRI: use in predicting pathological complete response to neoadjuvant chemoradiation in locally advanced rectal cancer. J Magn Reson Imaging 42:673–680

    Article  PubMed  Google Scholar 

  16. Krug B, Crott R, de Cannière L, D'Hondt L, Vander Borght T (2013) A systematic review of the predictive value of 18F-fluoro-2-deoxyglucose positron emission tomography on survival in locally advanced rectal cancer after neoadjuvant chemoradiation. Color Dis 15:e627–e633

    Article  CAS  Google Scholar 

  17. Lollert A, Junginger T, Schimanski CC, Biesterfeld S, Gockel I, Düber C, Oberholzer K (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 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Doenja M. J. Lambregts MD .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer-Verlag Berlin Heidelberg

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Lambregts, D.M.J., Maas, M., Beets-Tan, R.G.H. (2018). Are There Functional Imaging Markers to Consider for Treatment Decision Making?. In: Valentini, V., Schmoll, HJ., van de Velde, C. (eds) Multidisciplinary Management of Rectal Cancer. Springer, Cham. https://doi.org/10.1007/978-3-319-43217-5_17

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-43217-5_17

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-43215-1

  • Online ISBN: 978-3-319-43217-5

  • eBook Packages: MedicineMedicine (R0)

Publish with us

Policies and ethics