Literature DB >> 10508284

Key factors in the acquisition of contrast kinetic data for oncology.

J L Evelhoch1.   

Abstract

Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) has recently emerged as a promising method for both diagnosis and prognosis of cancer despite considerable variation in both the methods of data acquisition and analysis. Both to facilitate integration of results from multiple institutions and to ensure that the data reflect the underlying physiology as accurately as possible, several aspects of data acquisition should be taken into account when developing protocols for DCE-MRI regardless of how the data are analyzed. Among the relevant issues are the relationship between signal enhancement and contrast agent concentration, intra- or inter-patient variation in the blood contrast agent concentration as a function of time, requirements for spatial and temporal resolution, the impact of tumor heterogeneity, and the impact of patient motion during the study. This review considers these factors and, when possible, makes specific recommendations for addressing them experimentally.

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Year:  1999        PMID: 10508284     DOI: 10.1002/(sici)1522-2586(199909)10:3<254::aid-jmri5>3.0.co;2-9

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


  93 in total

Review 1.  Dynamic contrast-enhanced imaging techniques: CT and MRI.

Authors:  J P B O'Connor; P S Tofts; K A Miles; L M Parkes; G Thompson; A Jackson
Journal:  Br J Radiol       Date:  2011-12       Impact factor: 3.039

2.  Response of HT29 colorectal xenograft model to cediranib assessed with 18 F-fluoromisonidazole positron emission tomography, dynamic contrast-enhanced and diffusion-weighted MRI.

Authors:  Louisa Bokacheva; Khushali Kotedia; Megan Reese; Sally-Ann Ricketts; Jane Halliday; Carl H Le; Jason A Koutcher; Sean Carlin
Journal:  NMR Biomed       Date:  2012-07-08       Impact factor: 4.044

3.  Creation of DICOM--aware applications using ImageJ.

Authors:  Daniel P Barboriak; Anthony O Padua; Gerald E York; James R Macfall
Journal:  J Digit Imaging       Date:  2005-06       Impact factor: 4.056

4.  Response-Derived Input Function Estimation for Dynamic Contrast-Enhanced MRI Demonstrated by Anti-DLL4 Treatment in a Murine U87 Xenograft Model.

Authors:  Matthew D Silva; Brittany Yerby; Jodi Moriguchi; Albert Gomez; H Toni Jun; Angela Coxon; Sharon E Ungersma
Journal:  Mol Imaging Biol       Date:  2017-10       Impact factor: 3.488

5.  Diagnosis of suspicious breast lesions using an empirical mathematical model for dynamic contrast-enhanced MRI.

Authors:  Xiaobing Fan; Milica Medved; Gregory S Karczmar; Cheng Yang; Sean Foxley; Sanaz Arkani; Wendy Recant; Marta A Zamora; Hiroyuki Abe; Gillian M Newstead
Journal:  Magn Reson Imaging       Date:  2006-11-30       Impact factor: 2.546

6.  Dynamic MRI and fine needle aspiration cytology in the evaluation of soft tissue lesions.

Authors:  Hildur Einarsdóttir; Veli Söderlund; Lambert Skoog; Henrik C F Bauer
Journal:  Skeletal Radiol       Date:  2003-06-26       Impact factor: 2.199

7.  Enhancing fraction in glioma and its relationship to the tumoral vascular microenvironment: A dynamic contrast-enhanced MR imaging study.

Authors:  S J Mills; C Soh; J P B O'Connor; C J Rose; G Buonaccorsi; S Cheung; S Zhao; G J M Parker; A Jackson
Journal:  AJNR Am J Neuroradiol       Date:  2009-12-17       Impact factor: 3.825

8.  A reference agent model for DCE MRI can be used to quantify the relative vascular permeability of two MRI contrast agents.

Authors:  Julio Cárdenas-Rodríguez; Christine M Howison; Terry O Matsunaga; Mark D Pagel
Journal:  Magn Reson Imaging       Date:  2013-04-11       Impact factor: 2.546

9.  RGS4 controls renal blood flow and inhibits cyclosporine-mediated nephrotoxicity.

Authors:  A Siedlecki; J R Anderson; X Jin; J R Garbow; T S Lupu; A J Muslin
Journal:  Am J Transplant       Date:  2009-12-02       Impact factor: 8.086

10.  Nox2 and Cyclosporine-Induced Renal Hypoxia.

Authors:  Arjang Djamali; Nancy A Wilson; Elizabeth A Sadowski; Wei Zha; David Niles; Omeed Hafez; Justin R Dorn; Thomas R Mehner; Paul C Grimm; F Michael Hoffmann; Weixiong Zhong; Sean B Fain; Shannon R Reese
Journal:  Transplantation       Date:  2016-06       Impact factor: 4.939

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