Skip to main content

Advertisement

Log in

Assessment of angiogenesis in rabbit orthotropic liver tumors using three-dimensional dynamic contrast-enhanced ultrasound compared with two-dimensional DCE-US

  • Original Article
  • Published:
Japanese Journal of Radiology Aims and scope Submit manuscript

Abstract

Objectives

To evaluate quantitative three-dimensional (3D) dynamic contrast-enhanced ultrasound (DCE-US) in the assessment of tumor angiogenesis using an orthotropic liver tumor model.

Methods

Nine New Zealand white rabbits with liver orthotropic VX2 tumors were established and imaged by two-dimensional (2D) and 3D DCE-US after SonoVue® bolus injections. The intraclass correlation coefficients of perfusion parameters, including peak intensity (PI), mean transit time, time to peak, and area under the curve, were calculated based on time-intensity curve. The percentage area of microvascular (PAMV) and the expression of vascular endothelial growth factor (VEGF) were both evaluated by immunohistochemical analysis and weighted by the tumor activity area ratio. Correlations between quantitative and histologic parameters were analyzed.

Results

The reproducibility of 3D DCE-US quantitative parameters was excellent (ICC 0.91–0.99); but only PI showed high reproducibility (ICC 0.97) in 2D. None of the parameters of quantitative 2D DCE-US were significantly correlated with weighted PAMV or VEGF. For 3D DCE-US, there was a positive correlation between PI and weighted PAMV (r = 0.74, P = 0.04) as well as VEGF (r = 0.79, P = 0.02).

Conclusion

Quantitative parameters of 3D DCE-US show feasibility, higher reproducibility and accuracy for the assessment of tumor angiogenesis using an orthotropic liver tumor model compared with 2D DCE-US.

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

Similar content being viewed by others

Abbreviations

au:

Arbitrary units

AUC:

Area under the curve

DCE-US:

Dynamic contrast-enhanced ultrasound

ICC:

Intraclass correlation coefficient

MTT:

Mean transit time

PAMV:

Percentage area of microvascular

PI:

Peak intensity

ROI:

Region of interest

3D:

Three-dimensional

TIC:

Time-intensity curve

TTP:

Time to peak

2D:

Two-dimensional

VEGF:

Vascular endothelial growth factor

VOI:

Volume of interest

References

  1. Folkman J. What is the evidence that tumors are angiogenesis dependent? J Natl Cancer Inst. 1990;82(1):4–6.

    Article  CAS  Google Scholar 

  2. Duffaud F, Therasse P. New guidelines to evaluate the response to treatment in solid tumors. Bull Cancer. 2000;87(12):881–6.

    CAS  PubMed  Google Scholar 

  3. Marcus C, Ladam-Marcus V, Cucu C, Bouché O, Lucas L, Hoeffel C. Imaging techniques to evaluate the response to treatment in oncology: current standards and perspectives. Crit Rev Oncol Hematol. 2009;72(3):217–38.

    Article  CAS  Google Scholar 

  4. Greis C. Ultrasound contrast agents as markers of vascularity and microcirculation. Clin Hemorheol Microcirc. 2009;43(1–2):1–9.

    PubMed  Google Scholar 

  5. Greis C. Quantitative evaluation of microvascular blood flow by contrast-enhanced ultrasound (CEUS). Clin Hemorheol Microcirc. 2011;49(1–4):137–49.

    PubMed  Google Scholar 

  6. Bartolotta TV, Midiri M, Galia M, et al. Qualitative and quantitative evaluation of solitary thyroid nodules with contrast-enhanced ultrasound: initial results. Eur Radiol. 2006;16(10):2234–41.

    Article  Google Scholar 

  7. Ripolles T, Martinez MJ, Paredes JM, Blanc E, Flors L, Delgado F. Crohn disease: correlation of findings at contrast-enhanced US with severity at endoscopy. Radiology. 2009;253(1):241–8.

    Article  Google Scholar 

  8. Wang JW, Cao LH, Han F, et al. Contrast-enhanced US quantitatively detects changes of tumor perfusion in a murine breast cancer model during adriamycin chemotherapy. Acta Radiol. 2013;54(8):882–8.

    Article  Google Scholar 

  9. Zhang HP, Shi QS, Li F, et al. Regions of interest and parameters for the quantitative analysis of contrast-enhanced ultrasound to evaluate the anti-angiogenic effects of bevacizumab. Mol Med Rep. 2013;8(1):154–60.

    Article  Google Scholar 

  10. Zhou JH, Cao LH, Zheng W, Liu M, Han F, Li AH. Contrast-enhanced gray-scale ultrasound for quantitative evaluation of tumor response to chemotherapy: preliminary results with a mouse hepatoma model. Am J Roentgenol. 2011;196(1):W13–W1717.

    Article  Google Scholar 

  11. Williams R, Hudson J, Lloyd B, et al. Dynamic microbubble contrast-enhanced US to measure tumor response to targeted therapy: a proposed clinical protocol with results from renal cell carcinoma patients receiving antiangiogenic therapy. Radiology. 2011;260(2):581–90.

    Article  Google Scholar 

  12. Lassau N, Bonastre J, Kind M, et al. Validation of dynamic contrast-enhanced ultrasound in predicting outcomes of antiangiogenic therapy for solid tumors the french multicenter support for innovative and expensive techniques study. Investig Radiol. 2014;49(12):794–800.

    Article  CAS  Google Scholar 

  13. Wang HJ, Lutz AM, Hristov D, Tian L, Willmann JK. Intra-animal comparison between three-dimensional molecularly targeted US and three-dimensional dynamic contrast-enhanced US for early antiangiogenic treatment assessment in colon cancer. Radiology. 2017;282(2):443–52.

    Article  Google Scholar 

  14. Zhou J, Zhang H, Wang H, et al. Early prediction of tumor response to bevacizumab treatment in murine colon cancer models using three-dimensional dynamic contrast-enhanced ultrasound imaging. Angiogenesis. 2017;20(4):547–55.

    Article  CAS  Google Scholar 

  15. El Kaffas A, Sigrist RMS, Fisher G, et al. Quantitative three-dimensional dynamic contrast-enhanced ultrasound imaging: first-in-human pilot study in patients with liver metastases. Theranostics. 2017;7(15):3745–58.

    Article  CAS  Google Scholar 

  16. Wang HJ, Hristov D, Qin JL, Tian L, Willmann JK. Three-dimensional dynamic contrast-enhanced US imaging for early antiangiogenic treatment assessment in a mouse colon cancer model. Radiology. 2015;277(2):424–34.

    Article  Google Scholar 

  17. Yi CA, Lee KS, Kim EA, et al. Solitary pulmonary nodules: dynamic enhanced multi-detector row CT study and comparison with vascular endothelial growth factor and microvessel density. Radiology. 2004;233(1):191–9.

    Article  Google Scholar 

  18. Lassau N, Koscielny S, Albiges L, et al. Metastatic renal cell carcinoma treated with sunitinib: early evaluation of treatment response using dynamic contrast-enhanced ultrasonography. Clin Cancer Res. 2010;16(4):1216–25.

    Article  CAS  Google Scholar 

  19. Lassau N, Koscielny S, Chami L, et al. Advanced hepatocellular carcinoma: early evaluation of response to bevacizumab therapy at dynamic contrast-enhanced US with quantification-preliminary results. Radiology. 2011;258(1):291–300.

    Article  Google Scholar 

  20. Feingold S, Gessner R, Guracar IM, Dayton PA. Quantitative volumetric perfusion mapping of the microvasculature using contrast ultrasound. Investig Radiol. 2010;45(10):669–74.

    Article  Google Scholar 

  21. Williams R, Hudson JM, Lloyd BA, et al. Dynamic microbubble contrast-enhanced us to measure tumor response to targeted therapy: a proposed clinical protocol with results from renal cell carcinoma patients receiving antiangiogenic therapy. Radiology. 2011;260(2):581–90.

    Article  Google Scholar 

  22. Wang Z, Wang W, Liu GJ, et al. The role of quantitation of real-time 3-dimensional contrast-enhanced ultrasound in detecting microvascular invasion: an in vivo study. Abdom Radiol (N Y). 2016;41(10):1973–9.

    Article  Google Scholar 

  23. Ferraioli G, Meloni MF. Contrast-enhanced ultrasonography of the liver using SonoVue. Ultrasonography. 2018;37(1):25–35.

    Article  Google Scholar 

  24. Weidner N, Semple JP, Welch WR, Folkman J. Tumor angiogenesis and metastasis-correlation in invasive breast carcinoma. N Engl J Med. 1991;324(1):1–8.

    Article  CAS  Google Scholar 

  25. Uzzan B, Nicolas P, Cucherat M, Perret GY. Microvessel density as a prognostic factor in women with breast cancer: a systematic review of the literature and meta-analysis. Cancer Res. 2004;64(9):2941–55.

    Article  CAS  Google Scholar 

  26. Weidner N. Tumor angiogenesis: review of current applications in tumor prognostication. Semin Diagn Pathol. 1993;10(4):302–13.

    CAS  PubMed  Google Scholar 

  27. Macchiarini P, Fontanini G, Hardin MJ, Squartini F, Angeletti CA. Relation of neovascularisation to metastasis of non-small-cell lung cancer. Lancet (Lond Engl). 1992;340(8812):145–6.

    Article  CAS  Google Scholar 

  28. Sharma S, Aggarwal N, Gupta S, Singh M, Gupta R, Dinda A. Angiogenesis in renal cell carcinoma: correlation of microvessel density and microvessel area with other prognostic factors. Int Urol Nephrol. 2011;43(1):125–9.

    Article  CAS  Google Scholar 

  29. Shiyan L, Pintong H, Zongmin W, et al. The relationship between enhanced intensity and microvessel density of gastric carcinoma using double contrast-enhanced ultrasonography. Ultrasound Med Biol. 2009;35(7):1086–91.

    Article  Google Scholar 

  30. Mori N, Mugikura S, Takahashi S, et al. Quantitative analysis of contrast-enhanced ultrasound imaging in invasive breast cancer: a novel technique to obtain histopathologic information of microvessel density. Ultrasound Med Biol. 2017;43(3):607–14.

    Article  Google Scholar 

  31. Dvorak HF. Vascular permeability factor/vascular endothelial growth factor: a critical cytokine in tumor angiogenesis and a potential target for diagnosis and therapy. J Clin Oncol. 2002;20(21):4368–80.

    Article  CAS  Google Scholar 

  32. Jayson GC, Kerbel R, Ellis LM, Harris AL. Antiangiogenic therapy in oncology: current status and future directions. Lancet. 2016;388(10043):518–29.

    Article  CAS  Google Scholar 

  33. Wei X, Li Y, Zhang S, Ming G. Evaluation of thyroid cancer in Chinese females with breast cancer by vascular endothelial growth factor (VEGF), microvessel density, and contrast-enhanced ultrasound (CEUS). Tumour Biol. 2014;35(7):6521–9.

    Article  CAS  Google Scholar 

  34. Lucidarme O, Kono Y, Corbeil J, et al. Angiogenesis: noninvasive quantitative assessment with contrast-enhanced functional US in murine model. Radiology. 2006;239(3):730–9.

    Article  Google Scholar 

Download references

Funding

Funding was provided by Natural Science Foundation of China (Grant no. 81601500), Natural Science Foundation of Guangdong Province (Grant nos. 2017A030313661, 2016A030310143), Medical Science and Technology Foundation of Guangdong Province (Grant no. 2017A020215195)

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Quan-Yuan Shan or Wei Wang.

Ethics declarations

Ethical approval

All animal experiments were complied with the ARRIVE guidelines and carried out in accordance with the National Institutes of Health guide for the care and use of Laboratory animals. All applicable institutional and national guidelines for the care and use of animals were followed.

Conflict of interest

The authors declare that they have no conflict of interest.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary material (doc 82kb)

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zheng, Q., Zhang, Jc., Wang, Z. et al. Assessment of angiogenesis in rabbit orthotropic liver tumors using three-dimensional dynamic contrast-enhanced ultrasound compared with two-dimensional DCE-US. Jpn J Radiol 37, 701–709 (2019). https://doi.org/10.1007/s11604-019-00861-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11604-019-00861-z

Keywords

Navigation