Literature DB >> 22173205

Tracer kinetic modelling in MRI: estimating perfusion and capillary permeability.

S P Sourbron1, D L Buckley.   

Abstract

The tracer-kinetic models developed in the early 1990s for dynamic contrast-enhanced MRI (DCE-MRI) have since become a standard in numerous applications. At the same time, the development of MRI hardware has led to increases in image quality and temporal resolution that reveal the limitations of the early models. This in turn has stimulated an interest in the development and application of a second generation of modelling approaches. They are designed to overcome these limitations and produce additional and more accurate information on tissue status. In particular, models of the second generation enable separate estimates of perfusion and capillary permeability rather than a single parameter K(trans) that represents a combination of the two. A variety of such models has been proposed in the literature, and development in the field has been constrained by a lack of transparency regarding terminology, notations and physiological assumptions. In this review, we provide an overview of these models in a manner that is both physically intuitive and mathematically rigourous. All are derived from common first principles, using concepts and notations from general tracer-kinetic theory. Explicit links to their historical origins are included to allow for a transfer of experience obtained in other fields (PET, SPECT, CT). A classification is presented that reveals the links between all models, and with the models of the first generation. Detailed formulae for all solutions are provided to facilitate implementation. Our aim is to encourage the application of these tools to DCE-MRI by offering researchers a clearer understanding of their assumptions and requirements.

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Year:  2011        PMID: 22173205     DOI: 10.1088/0031-9155/57/2/R1

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  105 in total

Review 1.  [Multiparametric imaging with simultaneous MRI/PET: Methodological aspects and possible clinical applications].

Authors:  S Gatidis; H Schmidt; C D Claussen; N F Schwenzer
Journal:  Z Rheumatol       Date:  2015-12       Impact factor: 1.372

2.  Dynamic contrast-enhanced MR: importance of reaching the washout phase. Author reply.

Authors:  R K S Rathore; R K Gupta
Journal:  AJNR Am J Neuroradiol       Date:  2013-05       Impact factor: 3.825

3.  Determination of vascular permeability coefficients under slow luminal filling.

Authors:  James G Truslow; Joe Tien
Journal:  Microvasc Res       Date:  2013-07-23       Impact factor: 3.514

4.  A fast nonlinear regression method for estimating permeability in CT perfusion imaging.

Authors:  Edwin Bennink; Alan J Riordan; Alexander D Horsch; Jan Willem Dankbaar; Birgitta K Velthuis; Hugo W de Jong
Journal:  J Cereb Blood Flow Metab       Date:  2013-07-24       Impact factor: 6.200

Review 5.  [Multiparametric imaging with simultaneous MR/PET. Methodological aspects and possible clinical applications].

Authors:  S Gatidis; H Schmidt; C D Claussen; N F Schwenzer
Journal:  Radiologe       Date:  2013-08       Impact factor: 0.635

6.  Dual-input two-compartment pharmacokinetic model of dynamic contrast-enhanced magnetic resonance imaging in hepatocellular carcinoma.

Authors:  Jian-Feng Yang; Zhen-Hua Zhao; Yu Zhang; Li Zhao; Li-Ming Yang; Min-Ming Zhang; Bo-Yin Wang; Ting Wang; Bao-Chun Lu
Journal:  World J Gastroenterol       Date:  2016-04-07       Impact factor: 5.742

7.  Mapping Tumor Hypoxia In Vivo Using Pattern Recognition of Dynamic Contrast-enhanced MRI Data.

Authors:  Radka Stoyanova; Kris Huang; Kiri Sandler; Hyungjoon Cho; Sean Carlin; Pat B Zanzonico; Jason A Koutcher; Ellen Ackerstaff
Journal:  Transl Oncol       Date:  2012-12-01       Impact factor: 4.243

8.  A novel anthropomorphic flow phantom for the quantitative evaluation of prostate DCE-MRI acquisition techniques.

Authors:  Silvin P Knight; Jacinta E Browne; James F Meaney; David S Smith; Andrew J Fagan
Journal:  Phys Med Biol       Date:  2016-10-03       Impact factor: 3.609

9.  Quinacrine synergistically enhances the antivascular and antitumor efficacy of cediranib in intracranial mouse glioma.

Authors:  Merryl R Lobo; Sarah C Green; Matthias C Schabel; G Yancey Gillespie; Randall L Woltjer; Martin M Pike
Journal:  Neuro Oncol       Date:  2013-10-03       Impact factor: 12.300

Review 10.  Multiparametric MR Imaging in Abdominal Malignancies.

Authors:  Antonio Luna; Shivani Pahwa; Claudio Bonini; Lidia Alcalá-Mata; Katherine L Wright; Vikas Gulani
Journal:  Magn Reson Imaging Clin N Am       Date:  2016-02       Impact factor: 2.266

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