Literature DB >> 15688112

Antivascular cancer treatments: functional assessments by dynamic contrast-enhanced magnetic resonance imaging.

A R Padhani1, M O Leach.   

Abstract

New anticancer therapeutics that target tumor blood vessels promise improved efficacy and tolerability in humans. Early phase 1 drug trials have shown that the maximum tolerated dose may be inappropriate for more advanced clinical studies with efficacy endpoints. More advanced clinical trials have demonstrated that morphologic assessments of tumor response are of limited value for gauging the efficacy of treatment. Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) can serve as pharmacodynamic indicator of biological activity for antivascular cancer drugs by helping to define the biologically active dose. DCE-MRI studies may also predict the efficacy of treatment on the basis of changes observed. If DCE-MRI is to be used for the selection of antivascular drugs that advance into efficacy trials, then it will be necessary to develop standardized approaches to measurement and robust analytic approaches with clear accepted endpoints specified prospectively that have biological validity. Such developments will be essential for multicenter trials in which it will be necessary to establish effective cross-site standardization of measurements and evaluation.

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Year:  2005        PMID: 15688112     DOI: 10.1007/s00261-004-0265-5

Source DB:  PubMed          Journal:  Abdom Imaging        ISSN: 0942-8925


  47 in total

Review 1.  Molecular imaging for personalized cancer care.

Authors:  Moritz F Kircher; Hedvig Hricak; Steven M Larson
Journal:  Mol Oncol       Date:  2012-03-10       Impact factor: 6.603

2.  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 3.  Imaging-based tumor treatment response evaluation: review of conventional, new, and emerging concepts.

Authors:  Hee Kang; Ho Yun Lee; Kyung Soo Lee; Jae-Hun Kim
Journal:  Korean J Radiol       Date:  2012-06-18       Impact factor: 3.500

4.  The clinical value of dynamic contrast-enhanced MRI in differential diagnosis of malignant and benign ovarian lesions.

Authors:  Xian Li; Jun-Li Hu; Lai-Min Zhu; Xin-Hai Sun; Hua-Qiang Sheng; Ning Zhai; Xi-Bin Hu; Chu-Ran Sun; Bin Zhao
Journal:  Tumour Biol       Date:  2015-02-28

5.  Integration of quantitative DCE-MRI and ADC mapping to monitor treatment response in human breast cancer: initial results.

Authors:  Thomas E Yankeelov; Martin Lepage; Anuradha Chakravarthy; Elizabeth E Broome; Kenneth J Niermann; Mark C Kelley; Ingrid Meszoely; Ingrid A Mayer; Cheryl R Herman; Kevin McManus; Ronald R Price; John C Gore
Journal:  Magn Reson Imaging       Date:  2006-11-21       Impact factor: 2.546

6.  Evaluation of the effect of transcytolemmal water exchange analysis for therapeutic response assessment using DCE-MRI: a comparison study.

Authors:  Chunhao Wang; Ergys Subashi; Xiao Liang; Fang-Fang Yin; Zheng Chang
Journal:  Phys Med Biol       Date:  2016-06-08       Impact factor: 3.609

Review 7.  Review of treatment assessment using DCE-MRI in breast cancer radiation therapy.

Authors:  Chun-Hao Wang; Fang-Fang Yin; Janet Horton; Zheng Chang
Journal:  World J Methodol       Date:  2014-06-26

Review 8.  Functional MR Imaging Techniques in Oncology in the Era of Personalized Medicine.

Authors:  Matthias R Benz; Hebert Alberto Vargas; Evis Sala
Journal:  Magn Reson Imaging Clin N Am       Date:  2015-09-26       Impact factor: 2.266

9.  Molecular and clinical aspects of targeting the VEGF pathway in tumors.

Authors:  Grzegorz Korpanty; Laura A Sullivan; Elizabeth Smyth; Desmond N Carney; Rolf A Brekken
Journal:  J Oncol       Date:  2010-06-10       Impact factor: 4.375

Review 10.  Diffusion-weighted magnetic resonance imaging for tumour response assessment: why, when and how?

Authors:  A Afaq; A Andreou; D M Koh
Journal:  Cancer Imaging       Date:  2010-10-04       Impact factor: 3.909

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