Skip to main content
SpringerLink
Log in

A comparison of tumour perfusion assessed by deconvolution-based analysis of dynamic contrast-enhanced CT and MR imaging in patients with squamous cell carcinoma of the upper aerodigestive tract

  • Head and Neck
  • Published:
European Radiology Aims and scope Submit manuscript

Abstract

Our aim was to compare the perfusion [blood flow (BF)] values obtained by first-pass dynamic contrast-enhanced (DCE) T2-weighted magnetic resonance (MR) and computed tomography (CT) imaging of squamous cell carcinoma (SCC) in the upper aerodigestive tract in the same patient population. Seventeen patients with histologically proven primary SCC of the upper aerodigestive tract were prospectively evaluated. The perfusion CT studies were obtained using a 16-row multi-slice CT scanner running a commercial software package with a deconvolution-based technique; while the perfusion MR studies (1.5 T) were analysed with in-house-written MR perfusion software based also on a deconvolution technique. The mean perfusion values of SCC assessed by perfusion CT and MR imaging were 68.93 ± 31.61 and 81.56 ± 49.25 ml/min/100 g, respectively. The Bland-Altman graph showed a proportional error in the perfusion values measured by DCE-CT and -MR imaging; however, the degree of agreement was acceptable (95% limits of agreement: −66.1 to 40.8). Regression analysis of the perfusion values demonstrated significant correlation between the modalities: BFMR = 1.34 × BFCT – 10.93 (P < 0.0005, r 2 = 0.74). The parametric maps generated by both modalities provided insights into the tumour perfusion, while analysis of the obtained perfusion values demonstrated that both modalities may be used interchangeably in SCC in the upper aerodigestive tract.

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

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  1. Bisdas S, Baghi M, Smolarz A et al (2007) Quantitative measurements of perfusion and permeability of oropharyngeal and oral cavity cancer, recurrent disease, and associated lymph nodes using first-pass contrast-enhanced computed tomography studies. Invest Radiol 42:172–179

    Article  PubMed  Google Scholar 

  2. Lankester KJ, Taylor JN, Stirling JJ et al (2007) Dynamic MRI for imaging tumor microvasculature: comparison of susceptibility and relaxivity techniques in pelvic tumors. J Magn Reson Imaging 25:796–805

    Article  PubMed  Google Scholar 

  3. Rempp KA, Brix G, Wenz F, Becker CR, Guckel F, Lorenz WJ (1994) Quantification of regional cerebral blood flow and volume with dynamic susceptibility contrast-enhanced MR imaging. Radiology 193:637–641

    PubMed  CAS  Google Scholar 

  4. Bland JM, Altman DG (1995) Comparing methods of measurement: why plotting difference against standard method is misleading. Lancet 346:1085–1087

    Article  PubMed  CAS  Google Scholar 

  5. Bland JM, Altman DG (2003) Applying the right statistics: analyses of measurement studies. Ultrasound Obstet Gynecol 22:85–93

    Article  PubMed  CAS  Google Scholar 

  6. Gandhi D, Hoeffner EG, Carlos RC, Case I, Mukherji SK (2003) Computed tomography perfusion of squamous cell carcinoma of the upper aerodigestive tract. Initial results. J Comput Assist Tomogr 27:687–693

    Article  PubMed  Google Scholar 

  7. Rumboldt Z, Al-Okaili R, Deveikis JP (2005) Perfusion CT for head and neck tumors: pilot study. AJNR Am J Neuroradiol 26:1178–1185

    PubMed  Google Scholar 

  8. Hermans R, Lambin P, Van der Goten A et al (1999) Tumoural perfusion as measured by dynamic computed tomography in head and neck carcinoma. Radiother Oncol 53:105–111

    Article  PubMed  CAS  Google Scholar 

  9. 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. AJNR Am J Neuroradiol 27:101–106

    PubMed  CAS  Google Scholar 

  10. Zima A, Carlos R, Gandhi D, Case I, Teknos T, Mukherji SK (2007) Can pretreatment CT perfusion predict response of advanced squamous cell carcinoma of the upper aerodigestive tract treated with induction chemotherapy? AJNR Am J Neuroradiol 28:328–334

    PubMed  CAS  Google Scholar 

  11. Hermans R, Meijerink M, Van den Bogaert W, Rijnders A, Weltens C, Lambin P (2003) Tumor perfusion rate determined noninvasively by dynamic computed tomography predicts outcome in head-and-neck cancer after radiotherapy. Int J Radiat Oncol Biol Phys 57:1351–1356

    PubMed  Google Scholar 

  12. Wintermark M, Maeder P, Verdun FR et al (2000) Using 80 kVp versus 120 kVp in perfusion CT measurement of regional cerebral blood flow. AJNR Am J Neuroradiol 21:1881–1884

    PubMed  CAS  Google Scholar 

  13. Kuperman VY, Alley MT (1999) Differentiation between the effects of T1 and T2* shortening in contrast-enhanced MRI of the breast. J Magn Reson Imaging 9:172–176

    Article  PubMed  CAS  Google Scholar 

  14. Uematsu H, Maeda M (2006) Double-echo perfusion-weighted MR imaging: basic concepts and application in brain tumors for the assessment of tumor blood volume and vascular permeability. Eur Radiol 16:180–186

    Article  PubMed  Google Scholar 

  15. de Bazelaire C, Rofsky NM, Duhamel G et al (2006) Combined T2* and T1 measurements for improved perfusion and permeability studies in high field using dynamic contrast enhancement. Eur Radiol 16:2083–2091

    Article  PubMed  Google Scholar 

  16. Ellinger R, Kremser C, Schocke MF et al (2000) The impact of peak saturation of the arterial input function on quantitative evaluation of dynamic susceptibility contrast-enhanced MR studies. J Comput Assist Tomogr 24:942–948

    Article  PubMed  CAS  Google Scholar 

  17. Asaumi J, Yanagi Y, Hisatomi M, Matsuzaki H, Konouchi H, Kishi K (2003) The value of dynamic contrast-enhanced MRI in diagnosis of malignant lymphoma of the head and neck. Eur J Radiol 48:183–187

    Article  PubMed  Google Scholar 

  18. Baba Y, Furusawa M, Murakami R et al (1997) Role of dynamic MRI in the evaluation of head and neck cancers treated with radiation therapy. Int J Radiat Oncol Biol Phys 37:783–787

    PubMed  CAS  Google Scholar 

  19. Baba Y, Yamashita Y, Onomichi M, Murakami R, Takahashi M (1999) Dynamic magnetic resonance imaging of head and neck lesions. Top Magn Reson Imaging 10:125–129

    Article  PubMed  CAS  Google Scholar 

  20. Guckel C, Schnabel K, Deimling M, Steinbrich W (1996) Dynamic snapshot gradient-echo imaging of head and neck malignancies: time dependency and quality of contrast-to-noise ratio. Magma 4:61–69

    Article  PubMed  CAS  Google Scholar 

  21. Hoskin PJ, Saunders MI, Goodchild K, Powell ME, Taylor NJ, Baddeley H (1999) Dynamic contrast enhanced magnetic resonance scanning as a predictor of response to accelerated radiotherapy for advanced head and neck cancer. Br J Radiol 72:1093–1098

    PubMed  CAS  Google Scholar 

  22. Escott EJ, Rao VM, Ko WD, Guitierrez JE (1997) Comparison of dynamic contrast-enhanced gradient-echo and spin-echo sequences in MR of head and neck neoplasms. AJNR Am J Neuroradiol 18:1411–1419

    PubMed  CAS  Google Scholar 

  23. Galbraith SM, Lodge MA, Taylor NJ et al (2002) Reproducibility of dynamic contrast-enhanced MRI in human muscle and tumours: comparison of quantitative and semi-quantitative analysis. NMR Biomed 15:132–142

    Article  PubMed  Google Scholar 

  24. Jackson A, Kassner A, Annesley-Williams D, Reid H, Zhu XP, Li KL (2002) Abnormalities in the recirculation phase of contrast agent bolus passage in cerebral gliomas: comparison with relative blood volume and tumor grade. AJNR Am J Neuroradiol 23:7–14

    PubMed  Google Scholar 

  25. Essig M, Wenz F, Scholdei R et al (2002) Dynamic susceptibility contrast-enhanced echo-planar imaging of cerebral gliomas. Effect of contrast medium extravasation. Acta Radiol 43:354–359

    Article  PubMed  CAS  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Diagnostic and Interventional Radiology, Johann Wolfgang University Hospital, Theodor Stern Kai 7, 60590, Frankfurt, Germany

    Sotirios Bisdas, Leon Medov & Thomas J. Vogl

  2. Department of Otorhinolaryngology, Head and Neck Surgery, Johann Wolfgang University Hospital, Frankfurt, Germany

    Mehran Baghi & Jens Wagenblast

  3. 401 Military Hospital, Athens, Greece

    George N. Konstantinou

  4. Department of Oncologic Imaging, National Cancer Center, Singapore, Singapore

    Choon Hua Thng

  5. School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore

    Tong San Koh

Authors
  1. Sotirios Bisdas
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Leon Medov
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Mehran Baghi
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. George N. Konstantinou
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Jens Wagenblast
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Choon Hua Thng
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Thomas J. Vogl
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Tong San Koh
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Sotirios Bisdas.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Bisdas, S., Medov, L., Baghi, M. et al. A comparison of tumour perfusion assessed by deconvolution-based analysis of dynamic contrast-enhanced CT and MR imaging in patients with squamous cell carcinoma of the upper aerodigestive tract. Eur Radiol 18, 843–850 (2008). https://doi.org/10.1007/s00330-007-0827-3

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00330-007-0827-3

Keywords

Search

Navigation