Literature DB >> 12720260

Functional tumor imaging with dynamic contrast-enhanced magnetic resonance imaging.

Peter L Choyke1, Andrew J Dwyer, Michael V Knopp.   

Abstract

Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is the acquisition of serial MRI images before, during, and after the administration of an MR contrast agent. Unlike conventional enhanced MRI, which simply provides a snapshot of enhancement at one point in time, DCE-MRI permits a fuller depiction of the wash-in and wash-out contrast kinetics within tumors, and thus provides insight into the nature of the bulk tissue properties. Such data is readily amenable to two-compartment pharmacokinetic modeling from which parameters based on the rates of exchange between the compartments can be generated. These parameters can be used to generate color-encoded images that aid in the visual assessment of tumors. DCE-MRI is used currently to characterize masses, stage tumors, and noninvasively monitor therapy. While DCE-MRI is in clinical use, there are also a number of limitations, including overlap between malignant and benign inflammatory tissue, failure to resolve microscopic disease, and the inconsistent predictive value of enhancement pattern with regard to clinical outcome. Current research focuses on improving understanding of the meaning of DCE-MRI at a molecular level, evaluating macromolecular and targeted contrast agents, and combining DCE-MRI with other physiologic imaging techniques such as positron emission tomography. Efforts to standardize DCE-MRI acquisition, analysis, and reporting methods will allow wider dissemination of this useful functional imaging technique.

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Year:  2003        PMID: 12720260     DOI: 10.1002/jmri.10304

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  129 in total

1.  Quantitative, simultaneous PET/MRI for intratumoral imaging with an MRI-compatible PET scanner.

Authors:  Thomas S C Ng; James R Bading; Ryan Park; Hargun Sohi; Daniel Procissi; David Colcher; Peter S Conti; Simon R Cherry; Andrew A Raubitschek; Russell E Jacobs
Journal:  J Nucl Med       Date:  2012-06-01       Impact factor: 10.057

Review 2.  Evaluation of treatment response in patients with metastatic renal cell carcinoma: role of state-of-the-art cross-sectional imaging.

Authors:  Venkata S Katabathina; Nathalie Lassau; Ivan Pedrosa; Chaan S Ng; Srinivasa R Prasad
Journal:  Curr Urol Rep       Date:  2012-02       Impact factor: 3.092

Review 3.  Imaging of lung cancer in the era of molecular medicine.

Authors:  Mizuki Nishino; David M Jackman; Hiroto Hatabu; Pasi A Jänne; Bruce E Johnson; Annick D Van den Abbeele
Journal:  Acad Radiol       Date:  2011-01-28       Impact factor: 3.173

4.  Benign prostate hyperplasia: evaluation of treatment response with DCE MRI.

Authors:  J T Heverhagen; H von Tengg-Kobligk; K T Baudendistel; G Jia; H Polzer; H Henry; A L Levine; T J Rosol; M V Knopp
Journal:  MAGMA       Date:  2004-06-23       Impact factor: 2.310

5.  Monitoring neovascularization of intraportal islet grafts by dynamic contrast enhanced magnetic resonance imaging.

Authors:  Nathaniel K Chan; Andre Obenaus; Annie Tan; Naoaki Sakata; John Mace; Ricardo Peverini; Richard Chinnock; Lawrence C Sowers; Eba Hathout
Journal:  Islets       Date:  2009-11       Impact factor: 2.694

6.  An expectation-maximisation approach for simultaneous pixel classification and tracer kinetic modelling in dynamic contrast enhanced-magnetic resonance imaging.

Authors:  Mario Sansone; Roberta Fusco; Antonella Petrillo; Mario Petrillo; Marcello Bracale
Journal:  Med Biol Eng Comput       Date:  2010-11-03       Impact factor: 2.602

7.  Earlier detection of tumor treatment response using magnetic resonance diffusion imaging with oscillating gradients.

Authors:  Daniel C Colvin; Mary E Loveless; Mark D Does; Zou Yue; Thomas E Yankeelov; John C Gore
Journal:  Magn Reson Imaging       Date:  2010-12-28       Impact factor: 2.546

Review 8.  Imaging tumor hypoxia to advance radiation oncology.

Authors:  Chen-Ting Lee; Mary-Keara Boss; Mark W Dewhirst
Journal:  Antioxid Redox Signal       Date:  2014-03-24       Impact factor: 8.401

9.  Temporal analysis of tumor heterogeneity and volume for cervical cancer treatment outcome prediction: preliminary evaluation.

Authors:  Jeffrey W Prescott; Dongqing Zhang; Jian Z Wang; Nina A Mayr; William T C Yuh; Joel Saltz; Metin Gurcan
Journal:  J Digit Imaging       Date:  2009-01-27       Impact factor: 4.056

10.  Validation of dynamic contrast-enhanced magnetic resonance imaging-derived vascular permeability measurements using quantitative autoradiography in the RG2 rat brain tumor model.

Authors:  Moira C Ferrier; Hemant Sarin; Steve H Fung; Bawarjan Schatlo; Ryszard M Pluta; Sandeep N Gupta; Peter L Choyke; Edward H Oldfield; David Thomasson; John A Butman
Journal:  Neoplasia       Date:  2007-07       Impact factor: 5.715

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