Literature DB >> 9340677

[Methodological approaches to quantitative evaluation of microcirculation in tissues with dynamic magnetic resonance tomography].

G Brix1, W Schreiber, U Hoffmann, F Gückel, H Hawighorst, M V Knopp.   

Abstract

The development of rapid magnetic resonance imaging (MRI) sequences makes it possible to detect the fast kinetics of tissue response after intravenous administration of paramagnetic contrast media (CM), reflecting the status of tissue microcirculation. In this paper, the basic physical and tracer kinetic principles of dynamic relativity and susceptibility contrast MRI techniques are reviewed. The quantitative analysis of the acquired dynamic image data is broken up into an MR specific part, in which the observed signal variations are related to the CM concentration in the tissue, and an MR independent part, in which the computed concentration-time-courses are analyzed by tracer kinetic modeling. The purpose of the applied models is to describe the underlying physiological processes in mathematical terms and thus to enable the estimation of tissue specific parameters from measured dynamic image series. Whereas the capillary permeability can be estimated from dynamic relativity contrast enhanced MRI studies, the regional blood volume as well as the regional blood flow can be determined from dynamic susceptibility contrast enhanced image series. However, since there are no intravascular but only diffusible CM available at present, the application of the susceptibility technique is currently restricted to brain tissues with intact blood brain barrier. The practical realization of both dynamic MRI techniques is demonstrated by case studies.

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Year:  1997        PMID: 9340677     DOI: 10.1007/s001170050241

Source DB:  PubMed          Journal:  Radiologe        ISSN: 0033-832X            Impact factor:   0.635


  12 in total

1.  [Quantification of tissue perfusion with novel ultrasound methods].

Authors:  M Krix; H-U Kauczor; S Delorme
Journal:  Radiologe       Date:  2003-10       Impact factor: 0.635

2.  [Dynamic magnetic resonance tomography (dMRT). It's value in advanced head-neck tumors treated with radiochemotherapy].

Authors:  M Helbig; H-P Schlemmer; M Lumer; M V Knopp; A Dietz
Journal:  HNO       Date:  2003-04-09       Impact factor: 1.284

Review 3.  Dynamic contrast-enhanced magnetic resonance imaging and pharmacokinetic models in prostate cancer.

Authors:  Tobias Franiel; Bernd Hamm; Hedvig Hricak
Journal:  Eur Radiol       Date:  2010-12-24       Impact factor: 5.315

Review 4.  Dynamic contrast-enhanced magnetic resonance imaging: fundamentals and application to the evaluation of the peripheral perfusion.

Authors:  Yaron Gordon; Sasan Partovi; Matthias Müller-Eschner; Erick Amarteifio; Tobias Bäuerle; Marc-André Weber; Hans-Ulrich Kauczor; Fabian Rengier
Journal:  Cardiovasc Diagn Ther       Date:  2014-04

Review 5.  Whole-body MRI, dynamic contrast-enhanced MRI, and diffusion-weighted imaging for the staging of multiple myeloma.

Authors:  Julie C Dutoit; Koenraad L Verstraete
Journal:  Skeletal Radiol       Date:  2017-03-13       Impact factor: 2.199

6.  [Neoadjuvant chemotherapy of breast carcinomas: what post-therapeutic (preoperative) information is provided by quantitative dynamic MRI?].

Authors:  K Wasser; S K Klein; H Junkermann; H P Sinn; S Darai; W Neff; H U Kauczor; S Delorme
Journal:  Radiologe       Date:  2007-05       Impact factor: 0.635

7.  Predicting control of primary tumor and survival by DCE MRI during early therapy in cervical cancer.

Authors:  William T C Yuh; Nina A Mayr; David Jarjoura; Dee Wu; John C Grecula; Simon S Lo; Susan M Edwards; Vincent A Magnotta; Steffen Sammet; Hualin Zhang; Joseph F Montebello; Jeffrey Fowler; Michael V Knopp; Jian Z Wang
Journal:  Invest Radiol       Date:  2009-06       Impact factor: 6.016

8.  Validation of optimal DCE-MRI perfusion threshold to classify at-risk tumor imaging voxels in heterogeneous cervical cancer for outcome prediction.

Authors:  Zhibin Huang; Kevin A Yuh; Simon S Lo; John C Grecula; Steffen Sammet; Christina L Sammet; Guang Jia; Michael V Knopp; Qiang Wu; Norman J Beauchamp; William T C Yuh; Roy Wang; Nina A Mayr
Journal:  Magn Reson Imaging       Date:  2014-08-29       Impact factor: 2.546

9.  Dynamic contrast-enhanced MRI in Paget's disease of bone--correlation of regional microcirculation and bone turnover.

Authors:  M Libicher; C Kasperk; M Daniels; W Hosch; H-U Kauczor; S Delorme
Journal:  Eur Radiol       Date:  2008-01-04       Impact factor: 5.315

10.  Dynamic contrast-enhanced MRI for monitoring bisphosphonate therapy in Paget's disease of bone.

Authors:  Martin Libicher; C Kasperk; M Daniels-Wredenhagen; T Heye; H U Kauczor; P Nawroth; S Delorme; W Hosch
Journal:  Skeletal Radiol       Date:  2012-05-16       Impact factor: 2.199

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