1,560
Views
14
CrossRef citations to date
0
Altmetric
Original Articles

Voxelwise comparison of perfusion parameters estimated using dynamic contrast enhanced (DCE) computed tomography and DCE-magnetic resonance imaging in locally advanced cervical cancer

, , , , , , , , , & show all
Pages 1360-1368 | Received 03 May 2013, Accepted 06 Jun 2013, Published online: 05 Sep 2013

References

  • Yuh WTC, Mayr NA, Jarjoura D, Wu D, Grecula JC, Lo SS, et al. Predicting control of primary tumor and survival by DCE MRI during early therapy in cervical cancer. Invest Radiol 2009;44:343–50.
  • Halle C, Andersen E, Lando M, Aarnes EK, Hasvold G, Holden M, et al. Hypoxia-induced gene expression in chemoradioresistant cervical cancer revealed by dynamic contrast-enhanced MRI. Cancer Res 2012;72:5285–95.
  • Andersen EKF, Hole KH, Lund KV, Sundfør K, Kristensen GB, Lyng H, et al. Pharmacokinetic parameters derived from dynamic contrast enhanced MRI of cervical cancers predict chemoradiotherapy outcome. Radiother Oncol 2013;107: 117–22.
  • Andersen EKF, Kristensen GB, Lyng H, Malinen E. Pharmacokinetic analysis and k-means clustering of DCEMR images for radiotherapy outcome prediction of advanced cervical cancers. Acta Oncol 2011;50:859–65.
  • Ellingsen C, Hompland T, Mathiesen B, Rofstad EK. Microenvironment-associated lymph node metastasis of human cervical carcinoma xenografts. Acta Oncol 2012; 51:465–72.
  • Søvik A, Skogmo HK, Bruland OS, Olsen DR, Malinen E. DCEMRI monitoring of canine tumors during fractionated radiotherapy. Acta Oncol 2008;47:1249–56.
  • Øvrebø KM, Ellingsen C, Hompland T, Rofstad EK. Dynamic contrast-enhanced magnetic resonance imaging of the metastatic potential of tumors: A preclinical study of cervical carcinoma and melanoma xenografts. Acta Oncol 2013;52:604–11.
  • Øvrebø KM, Hompland T, Mathiesen B, Rofstad EK. Assessment of hypoxia and radiation response in intramuscular experimental tumors by dynamic contrast-enhanced magnetic resonance imaging. Radiother Oncol 2012;102: 429–35.
  • Gulliksrud K, Øvrebø KM, Mathiesen B, Rofstad EK. Differentiation between hypoxic and non-hypoxic experimental tumors by dynamic contrast-enhanced magnetic resonance imaging. Radiother Oncol 2011;98:360–4.
  • Cheng HLM, Wright GA. Rapid high-resolution T(1) mapping by variable flip angles: Accurate and precise measurements in the presence of radiofrequency field inhomogeneity. Magn Reson Med 2006;55:566–74.
  • Roberts C, Little R, Watson Y, Zhao S, Buckley DL, Parker GJM. The effect of blood inflow and B(1)-field inhomogeneity on measurement of the arterial input function in axial 3D spoiled gradient echo dynamic contrast-enhanced MRI. Magn Reson Med 2011;65:108–19.
  • Bazelaire C, Rofsky N, Duhamel G, Zhang J, Michaelson MD, George D, et al. Combined T2* and T1 measurements for improved perfusion and permeability studies in high field using dynamic contrast enhancement. Eur Radiol 2006;16:2083–91.
  • Nazarpoor M. Effect of concentration of contrast agent on the inflow effect for measuring absolute perfusion by use of inversion recovery T1-weighted TurboFLASH images. Radiol Phys Technol 2012;5:86–91.
  • Ivancevic MK, Zimine I, Montet X, Hyacinthe JN, Lazeyras F, Foxall D, et al. Inflow effect correction in fast gradient-echo perfusion imaging. Magn Reson Med 2003; 50:885–91.
  • Yang C, Stadler WM, Karczmar GS, Milosevic M, Yeung I, Haider MA. Comparison of quantitative parameters in cervix cancer measured by dynamic contrast-enhanced MRI and CT. Magn Reson Med 2010;63:1601–9.
  • Parker GJM, Roberts C, Macdonald A, Buonaccorsi GA, Cheung S, Buckley DL, et al. Experimentally-derived functional form for a population-averaged high-temporal-resolution arterial input function for dynamic contrast- enhanced MRI. Magn Reson Med 2006;56:993–1000.
  • Yang C, Karczmar GS, Medved M, Stadler WM. Multiple reference tissue method for contrast agent arterial input function estimation. Magn Reson Med 2007;58: 1266–75.
  • Korporaal JG, van den Berg CAT, van Osch MJP, Groenendaal G, van Vulpen M, van der Heide UA. Phase-based arterial input function measurements in the femoral arteries for quantification of dynamic contrast-enhanced (DCE) MRI and comparison with DCE-CT. Magn Reson Med 2011;66:1267–74.
  • Akbudak E, Conturo TE. Arterial input functions from MR phase imaging. Magn Reson Med 1996;36:809–15.
  • Akbudak E, Norberg RE, Conturo TE. Contrast-agent phase effects: An experimental system for analysis of susceptibility, concentration, and bolus input function kinetics. Magn Reson Med 1997;38:990–1002.
  • Tanderup K, Nielsen SK, Nyvang GB, Pedersen EM, Røhl L, Aagaard T, et al. From point A to the sculpted pear: MR image guidance significantly improves tumour dose and sparing of organs at risk in brachytherapy of cervical cancer. Radiother Oncol 2010;94:173–80.
  • Pötter R, Georg P, Dimopoulos JCA, Grimm M, Berger D, Nesvacil N, et al. Clinical outcome of protocol based image (MRI) guided adaptive brachytherapy combined with 3D conformal radiotherapy with or without chemotherapy in patients with locally advanced cervical cancer. Radiother Oncol 2011;100:116–23.
  • Dimopoulos JCA, Petrow P, Tanderup K, Petric P, Berger D, Kirisits C, et al. Recommendations from Gynaecological (GYN) GEC-ESTRO Working Group (IV): Basic principles and parameters for MR imaging within the frame of image based adaptive cervix cancer brachytherapy. Radiother Oncol 2012;103:113–22.
  • Brookes JA, Redpath TW, Gilbert FJ, Murray AD, Staff RT. Accuracy of T1 measurement in dynamic contrast-enhanced breast MRI using two- and three-dimensional variable flip angle fast low-angle shot. J Magn Reson Imaging 1999;9:163–71.
  • Gowland P, Mansfield P, Bullock P, Stehling M, Worthington B, Firth J. Dynamic studies of gadolinium uptake in brain tumors using inversion-recovery echo-planar imaging. Magn Reson Med 1992;26:241–58.
  • Rohrer M, Bauer H, Mintorovitch J, Requardt M, Weinmann HJ. Comparison of magnetic properties of MRI contrast media solutions at different magnetic field strengths. Invest Radiol 2005;40:715–24.
  • Sharma P, Socolow J, Patel S, Pettigrew RI, Oshinski JN. Effect of Gd-DTPA-BMA on blood and myocardial T1 at 1.5T and 3T in humans. J Magn Reson Imaging 2006;23: 323–30.
  • Korporaal JG, van den Berg CAT, Jeukens CRLPN, Groenendaal G, Moman MR, Luijten P, et al. Dynamic contrast-enhanced CT for prostate cancer: Relationship between image noise, voxel size, and repeatability. Radiology 2010;256:976–84.
  • Tofts PS. Modeling tracer kinetics in dynamic Gd-DTPA MR imaging. J Magn Reson Imaging 1997;7:91–101.
  • Murase K. Efficient method for calculating kinetic parameters using T1-weighted dynamic contrast-enhanced magnetic resonance imaging. Magn Reson Med 2004;51: 858–62.
  • Henderson E, Milosevic MF, Haider MA, Yeung IWT. Functional CT imaging of prostate cancer. Phys Med Biol 2003;48:3085–100.
  • Kim SM, Haider MA, Milosevic M, Yeung IWT. A comparison of dynamic contrast-enhanced CT and MR imaging-derived measurements in patients with cervical cancer. Clin Physiol Funct Imaging 2013;33:150–61.
  • Murase K, Kikuchi K, Miki H, Shimizu T, Ikezoe J. Determination of arterial input function using fuzzy clustering for quantification of cerebral blood flow with dynamic susceptibility contrast-enhanced MR imaging. J Magn Reson Imaging 2001;13:797–806.
  • Kjølby BF, Mikkelsen IK, Pedersen M, Østergaard L, Kiselev VG. Analysis of partial volume effects on arterial input functions using gradient echo: A simulation study. Magn Reson Med 2009;61:1300–9.
  • Korporaal JG. Ph.D. Dissertation: Dynamic contrast- enhanced (DCE) imaging for tumor delineation in prostate cancer. Department of Radiotherapy, University Medical Center Utrecht, Utrecht, the Netherlands; 2011.
  • Miles KA, Young H, Chica SL, Esser PD. Quantitative contrast-enhanced computed tomography: Is there a need for system calibration?. Eur Radiol 2007;17:919–26.
  • Takanami K, Higano S, Takase K, Kaneta T, Yamada T, Ishiya H, et al. Validation of the use of calibration factors between the iodine concentration and the computed tomography number measured outside the objects for estimation of iodine concentration inside the objects: Phantom experiment. Radiat Med 2008;26:237–43.
  • Persoon LCGG, Podesta M, van Elmpt WJC, Nijsten SMJJG, Verhaegen F. A fast three-dimensional gamma evaluation using a GPU utilizing texture memory for on-the-fly interpolations. Med Phys 2011;38:4032–5.
  • Donaldson SB, West CML, Davidson SE, Carrington BM, Hutchison G, Jones AP, et al. A comparison of tracer kinetic models for T1-weighted dynamic contrast-enhanced MRI: Application in carcinoma of the cervix. Magn Reson Med 2010;63:691–700.
  • Turetschek K, Preda A, Novikov V, Brasch RC, Weinmann HJ, Wunderbaldinger P, et al. Tumor microvascular changes in antiangiogenic treatment: Assessment by magnetic resonance contrast media of different molecular weights. J Magn Reson Imaging 2004;20:138–44.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.