Literature DB >> 21362513

The role of magnetic resonance imaging biomarkers in clinical trials of treatment response in cancer.

Thomas E Yankeelov1, Lori R Arlinghaus, Xia Li, John C Gore.   

Abstract

Current standard-of-care radiological methods for assessing the response of solid tumors to treatment are based on measuring changes in lesion size in a single dimension using high-resolution x-ray computed tomography (CT) or magnetic resonance imaging (MRI). Even if size measurements are adapted to record true volume changes more accurately, the effects of therapeutic drugs on tumor size may not occur for several cycles of treatment. Furthermore, current and future generations of anticancer drugs will be designed to affect highly specific cancer characteristics, and their effects may not be immediately cytotoxic. More sensitive and specific measures are required that can report on tumor status and treatment response early in the course of therapy. Several MRI techniques have matured to the point where they can offer quantitative information on tissue status and greater insight into specific biophysical and physiological characteristics of tumors. Here we review and provide illustrative examples of two MRI methods that have already been incorporated into clinical trials of treatment response in solid tumors: diffusion imaging and dynamic contrast-enhanced MRI. We also discuss the limitations and future research directions required for these techniques to gain greater acceptance and to have their maximum impact.
Copyright © 2011 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21362513      PMCID: PMC3073543          DOI: 10.1053/j.seminoncol.2010.11.007

Source DB:  PubMed          Journal:  Semin Oncol        ISSN: 0093-7754            Impact factor:   4.929


  37 in total

1.  Effects of cell volume fraction changes on apparent diffusion in human cells.

Authors:  A W Anderson; J Xie; J Pizzonia; R A Bronen; D D Spencer; J C Gore
Journal:  Magn Reson Imaging       Date:  2000-07       Impact factor: 2.546

2.  New guidelines to evaluate the response to treatment in solid tumors. European Organization for Research and Treatment of Cancer, National Cancer Institute of the United States, National Cancer Institute of Canada.

Authors:  P Therasse; S G Arbuck; E A Eisenhauer; J Wanders; R S Kaplan; L Rubinstein; J Verweij; M Van Glabbeke; A T van Oosterom; M C Christian; S G Gwyther
Journal:  J Natl Cancer Inst       Date:  2000-02-02       Impact factor: 13.506

Review 3.  Understanding diffusion MR imaging techniques: from scalar diffusion-weighted imaging to diffusion tensor imaging and beyond.

Authors:  Patric Hagmann; Lisa Jonasson; Philippe Maeder; Jean-Philippe Thiran; Van J Wedeen; Reto Meuli
Journal:  Radiographics       Date:  2006-10       Impact factor: 5.333

4.  Recurrent glioblastoma multiforme: ADC histogram analysis predicts response to bevacizumab treatment.

Authors:  Whitney B Pope; Hyun J Kim; Jing Huo; Jeffry Alger; Matthew S Brown; David Gjertson; Victor Sai; Jonathan R Young; Leena Tekchandani; Timothy Cloughesy; Paul S Mischel; Albert Lai; Phioanh Nghiemphu; Syed Rahmanuddin; Jonathan Goldin
Journal:  Radiology       Date:  2009-07       Impact factor: 11.105

5.  Evaluation of the functional diffusion map as an early biomarker of time-to-progression and overall survival in high-grade glioma.

Authors:  Daniel A Hamstra; Thomas L Chenevert; Bradford A Moffat; Timothy D Johnson; Charles R Meyer; Suresh K Mukherji; Douglas J Quint; Stephen S Gebarski; Xiaoying Fan; Christina I Tsien; Theodore S Lawrence; Larry Junck; Alnawaz Rehemtulla; Brian D Ross
Journal:  Proc Natl Acad Sci U S A       Date:  2005-11-02       Impact factor: 11.205

6.  Reproducibility assessment of a multiple reference tissue method for quantitative dynamic contrast enhanced-MRI analysis.

Authors:  Cheng Yang; Gregory S Karczmar; Milica Medved; Aytekin Oto; Marta Zamora; Walter M Stadler
Journal:  Magn Reson Med       Date:  2009-04       Impact factor: 4.668

7.  Reproducibility of perfusion parameters in dynamic contrast-enhanced MRI of lung and liver tumors: effect on estimates of patient sample size in clinical trials and on individual patient responses.

Authors:  Chaan S Ng; David L Raunig; Edward F Jackson; Edward A Ashton; Frederick Kelcz; Kevin B Kim; Razelle Kurzrock; Teresa M McShane
Journal:  AJR Am J Roentgenol       Date:  2010-02       Impact factor: 3.959

8.  Functional diffusion map as an early imaging biomarker for high-grade glioma: correlation with conventional radiologic response and overall survival.

Authors:  Daniel A Hamstra; Craig J Galbán; Charles R Meyer; Timothy D Johnson; Pia C Sundgren; Christina Tsien; Theodore S Lawrence; Larry Junck; David J Ross; Alnawaz Rehemtulla; Brian D Ross; Thomas L Chenevert
Journal:  J Clin Oncol       Date:  2008-06-09       Impact factor: 44.544

9.  Reproducibility and changes in the apparent diffusion coefficients of solid tumours treated with combretastatin A4 phosphate and bevacizumab in a two-centre phase I clinical trial.

Authors:  Dow-Mu Koh; Matthew Blackledge; David J Collins; Anwar R Padhani; Toni Wallace; Benjamin Wilton; N Jane Taylor; J James Stirling; Rajesh Sinha; Pat Walicke; Martin O Leach; Ian Judson; Paul Nathan
Journal:  Eur Radiol       Date:  2009-06-23       Impact factor: 5.315

10.  Temporal sampling requirements for reference region modeling of DCE-MRI data in human breast cancer.

Authors:  Catherine R Planey; E Brian Welch; Lei Xu; A Bapsi Chakravarthy; J Christopher Gatenby; Darla Freehardt; Ingrid Mayer; Ingrid Meszeoly; Mark Kelley; Julie Means-Powell; John C Gore; Thomas E Yankeelov
Journal:  J Magn Reson Imaging       Date:  2009-07       Impact factor: 4.813

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  21 in total

1.  Multiparametric magnetic resonance imaging for predicting pathological response after the first cycle of neoadjuvant chemotherapy in breast cancer.

Authors:  Xia Li; Richard G Abramson; Lori R Arlinghaus; Hakmook Kang; Anuradha Bapsi Chakravarthy; Vandana G Abramson; Jaime Farley; Ingrid A Mayer; Mark C Kelley; Ingrid M Meszoely; Julie Means-Powell; Ana M Grau; Melinda Sanders; Thomas E Yankeelov
Journal:  Invest Radiol       Date:  2015-04       Impact factor: 6.016

Review 2.  The use of tumour volumetrics to assess response to therapy in anticancer clinical trials.

Authors:  Gregory V Goldmacher; James Conklin
Journal:  Br J Clin Pharmacol       Date:  2012-06       Impact factor: 4.335

3.  Combining multiparametric MRI with receptor information to optimize prediction of pathologic response to neoadjuvant therapy in breast cancer: preliminary results.

Authors:  Hakmook Kang; Allison Hainline; Lori R Arlinghaus; Stephanie Elderidge; Xia Li; Vandana G Abramson; Anuradha Bapsi Chakravarthy; Richard G Abramson; Brian Bingham; Kareem Fakhoury; Thomas E Yankeelov
Journal:  J Med Imaging (Bellingham)       Date:  2017-12-29

Review 4.  Quantitative multimodality imaging in cancer research and therapy.

Authors:  Thomas E Yankeelov; Richard G Abramson; C Chad Quarles
Journal:  Nat Rev Clin Oncol       Date:  2014-08-12       Impact factor: 66.675

5.  Use of non-invasive imaging to monitor response to aflibercept treatment in murine models of colorectal cancer liver metastases.

Authors:  Karianne G Fleten; Kine M Bakke; Gunhild M Mælandsmo; Andreas Abildgaard; Kathrine Røe Redalen; Kjersti Flatmark
Journal:  Clin Exp Metastasis       Date:  2016-11-03       Impact factor: 5.150

6.  Early prediction of the response of breast tumors to neoadjuvant chemotherapy using quantitative MRI and machine learning.

Authors:  Subramani Mani; Yukun Chen; Lori R Arlinghaus; Xia Li; A Bapsi Chakravarthy; Sandeep R Bhave; E Brian Welch; Mia A Levy; Thomas E Yankeelov
Journal:  AMIA Annu Symp Proc       Date:  2011-10-22

7.  Multi-parametric MRI characterization of inflammation in murine skeletal muscle.

Authors:  Nathan D Bryant; Ke Li; Mark D Does; Stephanie Barnes; Daniel F Gochberg; Thomas E Yankeelov; Jane H Park; Bruce M Damon
Journal:  NMR Biomed       Date:  2014-04-29       Impact factor: 4.044

8.  Analyzing Spatial Heterogeneity in DCE- and DW-MRI Parametric Maps to Optimize Prediction of Pathologic Response to Neoadjuvant Chemotherapy in Breast Cancer.

Authors:  Xia Li; Hakmook Kang; Lori R Arlinghaus; Richard G Abramson; A Bapsi Chakravarthy; Vandana G Abramson; Jaime Farley; Melinda Sanders; Thomas E Yankeelov
Journal:  Transl Oncol       Date:  2014-02-01       Impact factor: 4.243

9.  The effects of intravoxel contrast agent diffusion on the analysis of DCE-MRI data in realistic tissue domains.

Authors:  Ryan T Woodall; Stephanie L Barnes; David A Hormuth; Anna G Sorace; C Chad Quarles; Thomas E Yankeelov
Journal:  Magn Reson Med       Date:  2017-11-08       Impact factor: 4.668

10.  Development of a New Tool for 3D Modeling for Regenerative Medicine.

Authors:  Filippo Mattoli; Roberto Tiribuzi; Francesco D'Angelo; Ilaria di Girolamo; Mattia Quattrocelli; Simona Montesano; Lucia Crispoltoni; Vasileios Oikonomou; Maria Gabriella Cusella De Angelis; Peggy Marconi; Antonio Orlacchio; Maurilio Sampaolesi; Sabata Martino; Aldo Orlacchio
Journal:  Int J Biomed Imaging       Date:  2011-06-13
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