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DCE literature library

OSIPI papers

  • Dickie B.R, Ahmed Z, Arvidsson J, Bell L, Buckley DL, Debus C, Fedorov A, Floca R, Gutmann I, van der Heijden RA, van Houdt PJ, Sourbron S, Thrippleton MJ, Quarles C, Kompan I. A community-endorsed open-source lexicon for contrast-agent based perfusion MRI (CAPLEX): A consensus guidelines report from the ISMRM Open Science Initiative for Perfusion Imaging (OSIPI), Mag Resn Med, 2023

  • van Houdt PJ, Ragunathan S, Berks M, Ahmed Z, Kershaw L, Gurney-Champion O, Tadimalla S, Arvidsson J, Sun Y, Kallehauge J, Dickie BR, Lévy S, Bell L, Sourbron S, Thrippleton MJ, Contrast-agent-based perfusion MRI code repository and testing framework: ISMRM Open Science Initiative for Perfusion Imaging (OSIPI), Mag Resn Med, 2023.

Seminal papers

  • Tofts PS. Modeling tracer kinetics in dynamic Gd-DTPA MR imaging. J Magn Reson Imaging. 1997 Jan-Feb;7(1):91-101. doi: 10.1002/jmri.1880070113. PMID: 9039598.

  • Tofts PS, Brix G, Buckley DL, Evelhoch JL, Henderson E, Knopp MV, Larsson HB, Lee TY, Mayr NA, Parker GJ, Port RE, Taylor J, Weisskoff RM. Estimating kinetic parameters from dynamic contrast-enhanced T(1)-weighted MRI of a diffusable tracer: standardized quantities and symbols. J Magn Reson Imaging. 1999 Sep;10(3):223-32. Doi: 10.1002/(sici)1522-2586(199909)10:3<223::aid-jmri2>3.0.co;2-s. PMID: 10508281.

  • Brix G, Semmler W, Port R, Schad LR, Layer G, Lorenz WJ. Pharmacokinetic parameters in CNS Gd-DTPA enhanced MR imaging. J Comput Assist Tomogr. 1991 Jul-Aug;15(4):621-8. doi: 10.1097/00004728-199107000-00018. PMID: 2061479.

  • Parker GJ, Roberts C, Macdonald A, Buonaccorsi GA, Cheung S, Buckley DL, Jackson A, Watson Y, Davies K, Jayson GC. Experimentally-derived functional form for a population-averaged high-temporal-resolution arterial input function for dynamic contrast-enhanced MRI. Magn Reson Med. 2006 Nov;56(5):993-1000. doi: 10.1002/mrm.21066. PMID: 17036301.

  • 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 Nov;40(11):715-24. doi: 10.1097/01.rli.0000184756.66360.d3. PMID: 16230904. https://pubmed.ncbi.nlm.nih.gov/16230904/

General overview papers

  • Sourbron SP, Buckley DL. On the scope and interpretation of the Tofts models for DCE-MRI. Magn Reson Med. 2011 Sep;66(3):735-45. doi: 10.1002/mrm.22861. Epub 2011 Mar 7. PMID: 21384424.

  • Cuenod CA, Balvay D. Perfusion and vascular permeability: basic concepts and measurement in DCE-CT and DCE-MRI. Diagn Interv Imaging. 2013 Dec;94(12):1187-204. doi: 10.1016/j.diii.2013.10.010. Epub 2013 Nov 7. PMID: 24211260.

  • Khalifa F, Soliman A, El-Baz A, Abou El-Ghar M, El-Diasty T, Gimel'farb G, Ouseph R, Dwyer AC. Models and methods for analyzing DCE-MRI: a review. Med Phys. 2014 Dec;41(12):124301. doi: 10.1118/1.4898202. PMID: 25471985.

  • Quarles CC, Bell LC, Stokes AM. Imaging vascular and hemodynamic features of the brain using dynamic susceptibility contrast and dynamic contrast enhanced MRI. Neuroimage. 2019 Feb 15;187:32-55. doi: 10.1016/j.neuroimage.2018.04.069. Epub 2018 May 3. PMID: 29729392; PMCID: PMC6538021.

  • Dyke JP, Aaron RK. Noninvasive methods of measuring bone blood perfusion. Ann N Y Acad Sci. 2010 Mar;1192(1):95-102. doi: 10.1111/j.1749-6632.2009.05376.x. PMID: 20392223; PMCID: PMC2894463.

  • Lohrke, J., Frenzel, T., Endrikat, J., Alves, F. C., Grist, T. M., Law, M., Lee, J. M., Leiner, T., Li, K.-C., Nikolaou, K., Prince, M. R., Schild, H. H., Weinreb, J. C., Yoshikawa, K., & Pietsch, H. (2016). 25 Years of Contrast-Enhanced MRI: Developments, Current Challenges and Future Perspectives. Advances in Therapy, 33(1), 1–28. doi:10.1007/s12325-015-0275-4

  • Koh, T. S., Bisdas, S., Koh, D. M., & Thng, C. H. (2011). Fundamentals of tracer kinetics for dynamic contrast-enhanced MRI. Journal of Magnetic Resonance Imaging, 34(6), 1262–1276. https://doi.org/10.1002/jmri.22795

  • Petralia, G., Summers, P. E., Agostini, A., Ambrosini, R., Cianci, R., Cristel, G., Calistri, L., & Colagrande, S. (2020). Dynamic contrast-enhanced MRI in oncology: how we do it. La Radiologia Medica. https://doi.org/10.1007/s11547-020-01220-z

  • Hanson, L. G. (2009). Introduction to Magnetic Resonance Imaging Techniques. https://eprints.drcmr.dk/37/

  • Hanson, L. G. (2015). The Ups and Downs of Classical and Quantum Formulations of Magnetic Resonance. In Anthropic Awareness: The Human Aspects of Scientific Thinking in NMR Spectroscopy and Mass Spectrometry (pp. 141–171). Elsevier Inc. https://doi.org/10.1016/B978-0-12-419963-7.00003-1

Clinical application papers

  • Dijkhoff RAP, Beets-Tan RGH, Lambregts DMJ, Beets GL, Maas M. Value of DCE-MRI for staging and response evaluation in rectal cancer: A systematic review. Eur J Radiol. 2017 Oct;95:155-168. doi: 10.1016/j.ejrad.2017.08.009. Epub 2017 Aug 12. PMID: 28987662.

  • Thrippleton MJ, Backes WH, Sourbron S, Ingrisch M, van Osch MJP, Dichgans M, Fazekas F, Ropele S, Frayne R, van Oostenbrugge RJ, Smith EE, Wardlaw JM. Quantifying blood-brain barrier leakage in small vessel disease: Review and consensus recommendations. Alzheimers Dement. 2019 Jun;15(6):840-858. doi: 10.1016/j.jalz.2019.01.013. Epub 2019 Apr 25. PMID: 31031101; PMCID: PMC6565805. https://pubmed.ncbi.nlm.nih.gov/31031101/

  • Dickie BR, Parker GJM, Parkes LM. Measuring water exchange across the blood-brain barrier using MRI. Prog Nucl Magn Reson Spectrosc. 2020 Feb;116:19-39. doi: 10.1016/j.pnmrs.2019.09.002. Epub 2019 Sep 12. PMID: 32130957. https://pubmed.ncbi.nlm.nih.gov/32130957/

  • O’Connor, J. P. B., Aboagye, E. O., Adams, J. E., Aerts, H. J. W. L., Barrington, S. F., Beer, A. J., Boellaard, R., Bohndiek, S. E., Brady, M., Brown, G., Buckley, D. L., Chenevert, T. L., Clarke, L. P., Collette, S., Cook, G. J., deSouza, N. M., Dickson, J. C., Dive, C., Evelhoch, J. L., … Waterton, J. C. (2017). Imaging biomarker roadmap for cancer studies. Nat Rev Clin Oncol, 14(3), 169–186. https://doi.org/10.1038/nrclinonc.2016.162

  • Alonzi, R., Padhani, A.R. and Allen, C., 2007. Dynamic contrast enhanced MRI in prostate cancer. European journal of radiology, 63(3), pp.335-350.

  • Thng, C. H., Koh, T. S., Collins, D. J., & Koh, D. M. (2010). Perfusion magnetic resonance imaging of the liver. World Journal of Gastroenterology (Vol. 16, Issue 13, pp. 1598–1609). https://doi.org/10.3748/wjg.v16.i13.1598

  • Teo, Q. Q., Thng, C. H., Koh, T. S., & Ng, Q. S. (2014). Dynamic Contrast-enhanced Magnetic Resonance Imaging: Applications in Oncology. Clinical Oncology, 26(10), e9–e20. https://doi.org/10.1016/j.clon.2014.05.014

Acquisition papers

Analysis papers

  • Sourbron SP, Buckley DL. Classic models for dynamic contrast-enhanced MRI. NMR Biomed. 2013 Aug;26(8):1004-27. doi: 10.1002/nbm.2940. Epub 2013 May 15. PMID: 23674304.

  • Sourbron SP, Buckley DL. Tracer kinetic modelling in MRI: estimating perfusion and capillary permeability. Phys Med Biol. 2012 Jan 21;57(2):R1-33. doi: 10.1088/0031-9155/57/2/R1. Epub 2011 Dec 15. PMID: 22173205.

  • Ingrisch, M., Sourbron, S. Tracer-kinetic modeling of dynamic contrast-enhanced MRI and CT: a primer. J Pharmacokinet Pharmacodyn 40, 281–300 (2013). https://doi.org/10.1007/s10928-013-9315-3

  • https://pubmed.ncbi.nlm.nih.gov/22173205/

  • Kim H. Variability in Quantitative DCE-MRI: Sources and Solutions. J Nat Sci. 2018;4(1):e484. PMID: 29527572; PMCID: PMC5841165.

  • Calamente F, Arterial input function in perfusion MRI: a comprehensive review; https://pubmed.ncbi.nlm.nih.gov/24083460/

  • Hanson, E. A., Sandmann, C., Malyshev, A., Lundervold, A., Modersitzki, J., & Hodneland, E. (2018). Estimating the discretization dependent accuracy of perfusion in coupled capillary flow measurements. PLoS One, 13(7), e0200521. https://doi.org/10.1371/journal.pone.0200521