Skip to main content

Advertisement

Log in

Commercial software upgrades may significantly alter Perfusion CT parameter values in colorectal cancer

  • Computed Tomography
  • Published:
European Radiology Aims and scope Submit manuscript

Abstract

Objective

To determine how commercial software platform upgrades impact on derived parameters for colorectal cancer.

Materials and methods

Following ethical approval, 30 patients with suspected colorectal cancer underwent Perfusion CT using integrated 64 detector PET/CT before surgery. Analysis was performed using software based on modified distributed parameter analysis (Perfusion software version 4; Perfusion 4.0), then repeated using the previous version (Perfusion software version 3; Perfusion 3.0). Tumour blood flow (BF), blood volume (BV), mean transit time (MTT) and permeability surface area product (PS) were determined for identical regions-of-interest. Slice-by-slice and ‘whole tumour’ variance was assessed by Bland-Altman analysis.

Results

Mean BF, BV and PS was 20.4%, 59.5%, and 106% higher, and MTT 14.3% shorter for Perfusion 4.0 than Perfusion 3.0. The mean difference (95% limits of agreement) were +13.5 (−44.9 to 72.0), +2.61 (−0.06 to 5.28), −1.23 (−6.83 to 4.36), and +14.2 (−4.43 to 32.8) for BF, BV, MTT and PS respectively. Within subject coefficient of variation was 36.6%, 38.0%, 27.4% and 60.6% for BF, BV, MTT and PS respectively indicating moderate to poor agreement.

Conclusion

Software version upgrades of the same software platform may result in significantly different parameter values, requiring adjustments for cross-version comparison.

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.

Institutional subscriptions

Fig. 1
Fig. 2

Similar content being viewed by others

References

  1. Willett CG, Boucher Y, di Tomaso E et al (2004) Direct evidence that the VEGF-specific antibody bevacizumab has antivascular effects in human rectal cancer. Nat Med 10:145–147

    Article  PubMed  CAS  Google Scholar 

  2. Koukourakis MI, Mavanis I, Kouklakis G et al (2007) Early antivascular effects of bevacizumab anti-VEGF monoclonal antibody on colorectal carcinomas assessed with functional CT imaging. Am J Clin Oncol 30:315–318

    Article  PubMed  CAS  Google Scholar 

  3. Meijerink MR, Van Cruijsen H, Hoekman K et al (2007) The use of perfusion CT for the evaluation of therapy combining AZD2171 with gefitinib in cancer patients. Eur Radiol 17:1700–1713

    Article  PubMed  Google Scholar 

  4. McNeel DG, Eickhoff J, Lee FT et al (2005) Phase I trial of a monoclonal antibody specific for integrin (MEDI-522) in patients with advanced malignancies, including an assessment on tumour perfusion. Clin Cancer Res 11:7851–7860

    Article  PubMed  CAS  Google Scholar 

  5. Faria SC, Ng CS, Hess KR, Phongkitkarun S, Szejnfeld J, Daliani D, Charnsangavej C (2007) CT quantification of effects of thalidomide in patients with metastatic renal cell carcinoma. AJR Am J Roentgenol 189:378–385

    Article  PubMed  Google Scholar 

  6. Gandhi D, Chepeha DB, Miller T et al (2006) Correlation between initial and early follow-up CT perfusion parameters with endoscopic tumor response in patients with advanced squamous cell carcinomas of the oropharynx treated with organ-preservation therapy. Am J Neuroradiol 27:101–106

    PubMed  CAS  Google Scholar 

  7. Petralia G, Preda L, Giugliano G et al (2009) Perfusion computed tomography for monitoring induction chemotherapy in patients with squamous cell carcinoma of the upper aerodigestive tract: correlation between changes in tumor perfusion and tumor volume. J Comput Assist Tomogr 33:552–559

    Article  PubMed  Google Scholar 

  8. Ng CS, Wang X, Faria SC, Lin E, Charnsangavej C, Tannir NM (2010) Perfusion CT in patients with metastatic renal cell carcinoma treated with interferon. Am J Roentgenol 194:166–171

    Article  Google Scholar 

  9. Wang J, Wu N, Cham MD, Song Y (2009) Tumor response in patients with advanced non-small cell lung cancer: perfusion CT evaluation of chemotherapy and radiation therapy. AJR Am J Roentgenol 193:1090–1096

    Article  PubMed  Google Scholar 

  10. Goh V, Halligan S, Wellsted DM et al (2009) Can perfusion CT assessment of primary colorectal adenocarcinoma blood flow at staging predict for subsequent metastatic disease? A pilot study. Eur Radiol 19:79–89

    Article  PubMed  Google Scholar 

  11. 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

    PubMed  Google Scholar 

  12. Li ZP, Meng QF, Sun CH, Xu DS, Fan M, Yang XF, Chen DY (2005) Tumor angiogenesis and dynamic CT in colorectal carcinoma: radiologic–pathologic correlation. World J Gastroenterol 11:1287–1291

    PubMed  Google Scholar 

  13. Goh V, Halligan S, Daley F et al (2008) Quantitative assessment of colorectal tumor vascularity using MDCT: Do tumor perfusion measurements reflect angiogenesis? Radiology 249:510–517

    Article  PubMed  Google Scholar 

  14. Johnson JA, Wilson TA (1966) A model for capillary exchange. Am J Physiol 210:1299–1303

    PubMed  CAS  Google Scholar 

  15. St Lawrence KS, Lee TY (1998) An adiabatic approximation to the tissue homogeneity model for water exchange in the brain: I. Theoretical derivation. J Cereb Blood Flow Metab 18:1365–1377

    Article  PubMed  CAS  Google Scholar 

  16. Lee TY, Purdie TG, Stewart E (2003) CT imaging of angiogenesis. Q J Nucl Med 41:171–187

    CAS  Google Scholar 

  17. Kudo K, Sasaki M, Ogasawara K, Terae S, Ehara S, Shirato H (2009) Difference in tracer delay-induced effect among deconvolution algorithms in CT perfusion analysis: quantitative evaluation with digital phantoms. Radiology 251:241–249

    Article  PubMed  Google Scholar 

  18. Goh V, Halligan S, Bartram CI (2007) Quantitative tumor perfusion assessment with multidetector CT: are measurements from two commercial software packages interchangeable? Radiology 242:777–782

    Article  PubMed  Google Scholar 

  19. Kudo K, Sasaki M, Yamada K et al (2010) Differences in CT perfusion maps generated by different software: quantitative analysis by using identical source data in acute stroke patients. Radiology 254:200–220

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

Software has been provided by GE Healthcare.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Vicky Goh.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Goh, V., Shastry, M., Engledow, A. et al. Commercial software upgrades may significantly alter Perfusion CT parameter values in colorectal cancer. Eur Radiol 21, 744–749 (2011). https://doi.org/10.1007/s00330-010-1967-4

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00330-010-1967-4

Keywords

Navigation