Literature DB >> 23154619

Current and emerging quantitative magnetic resonance imaging methods for assessing and predicting the response of breast cancer to neoadjuvant therapy.

Richard G Abramson1, Lori R Arlinghaus, Jared A Weis, Xia Li, Adrienne N Dula, Eduard Y Chekmenev, Seth A Smith, Michael I Miga, Vandana G Abramson, Thomas E Yankeelov.   

Abstract

Reliable early assessment of breast cancer response to neoadjuvant therapy (NAT) would provide considerable benefit to patient care and ongoing research efforts, and demand for accurate and noninvasive early-response biomarkers is likely to increase. Response assessment techniques derived from quantitative magnetic resonance imaging (MRI) hold great potential for integration into treatment algorithms and clinical trials. Quantitative MRI techniques already available for assessing breast cancer response to neoadjuvant therapy include lesion size measurement, dynamic contrast-enhanced MRI, diffusion-weighted MRI, and proton magnetic resonance spectroscopy. Emerging yet promising techniques include magnetization transfer MRI, chemical exchange saturation transfer MRI, magnetic resonance elastography, and hyperpolarized MR. Translating and incorporating these techniques into the clinical setting will require close attention to statistical validation methods, standardization and reproducibility of technique, and scanning protocol design.

Entities:  

Year:  2012        PMID: 23154619      PMCID: PMC3496377          DOI: 10.2147/BCTT.S35882

Source DB:  PubMed          Journal:  Breast Cancer (Dove Med Press)        ISSN: 1179-1314


  135 in total

1.  An overlapping subzone technique for MR-based elastic property reconstruction.

Authors:  E E Van Houten; K D Paulsen; M I Miga; F E Kennedy; J B Weaver
Journal:  Magn Reson Med       Date:  1999-10       Impact factor: 4.668

2.  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

3.  Effect of preoperative breast magnetic resonance imaging on surgical decision making and cancer recurrence rates.

Authors:  Federica Pediconi; Elena Miglio; Marianna Telesca; Maria Laura Luciani; Miles A Kirchin; Roberto Passariello; Carlo Catalano
Journal:  Invest Radiol       Date:  2012-02       Impact factor: 6.016

Review 4.  Research issues affecting preoperative systemic therapy for operable breast cancer.

Authors:  Antonio C Wolff; Donald Berry; Lisa A Carey; Marco Colleoni; Mitchell Dowsett; Matthew Ellis; Judy E Garber; David Mankoff; Soonmyung Paik; Lajos Pusztai; Mary Lou Smith; JoAnne Zujewski
Journal:  J Clin Oncol       Date:  2008-02-10       Impact factor: 44.544

5.  Quantitative magnetization transfer imaging in human brain at 3 T via selective inversion recovery.

Authors:  Richard D Dortch; Ke Li; Daniel F Gochberg; E Brian Welch; Adrienne N Dula; Ashish A Tamhane; John C Gore; Seth A Smith
Journal:  Magn Reson Med       Date:  2011-05-23       Impact factor: 4.668

Review 6.  Diffusion-weighted magnetic resonance imaging and its application to cancer.

Authors:  Elizabeth M Charles-Edwards; Nandita M deSouza
Journal:  Cancer Imaging       Date:  2006-09-13       Impact factor: 3.909

7.  Predicting pathological response to neoadjuvant chemotherapy in breast cancer with quantitative 1H MR spectroscopy using the external standard method.

Authors:  Mitsuhiro Tozaki; Masaaki Sakamoto; Yu Oyama; Katsuya Maruyama; Eisuke Fukuma
Journal:  J Magn Reson Imaging       Date:  2010-04       Impact factor: 4.813

8.  MR elastography of liver tumors: preliminary results.

Authors:  Sudhakar K Venkatesh; Meng Yin; James F Glockner; Naoki Takahashi; Philip A Araoz; Jayant A Talwalkar; Richard L Ehman
Journal:  AJR Am J Roentgenol       Date:  2008-06       Impact factor: 3.959

9.  Induction of syndecan-1 expression in stromal fibroblasts promotes proliferation of human breast cancer cells.

Authors:  Takashi Maeda; Caroline M Alexander; Andreas Friedl
Journal:  Cancer Res       Date:  2004-01-15       Impact factor: 12.701

10.  Direct saturation MRI: theory and application to imaging brain iron.

Authors:  Seth A Smith; Jeff W M Bulte; Peter C M van Zijl
Journal:  Magn Reson Med       Date:  2009-08       Impact factor: 4.668

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  13 in total

1.  Sodium 3D COncentration MApping (COMA 3D) using (23)Na and proton MRI.

Authors:  Milton L Truong; Michael G Harrington; Victor D Schepkin; Eduard Y Chekmenev
Journal:  J Magn Reson       Date:  2014-09-09       Impact factor: 2.229

2.  Dynamic contrast-enhanced magnetic resonance imaging in prostate cancer clinical trials: potential roles and possible pitfalls.

Authors:  Fiona M Fennessy; Rana R McKay; Clair J Beard; Mary-Ellen Taplin; Clare M Tempany
Journal:  Transl Oncol       Date:  2014-02-01       Impact factor: 4.243

3.  Quantitative magnetization transfer imaging of rodent glioma using selective inversion recovery.

Authors:  Junzhong Xu; Ke Li; Zhongliang Zu; Xia Li; Daniel F Gochberg; John C Gore
Journal:  NMR Biomed       Date:  2013-12-13       Impact factor: 4.044

4.  Influence of water compartmentation and heterogeneous relaxation on quantitative magnetization transfer imaging in rodent brain tumors.

Authors:  Ke Li; Hua Li; Xiao-Yong Zhang; Ashley M Stokes; Xiaoyu Jiang; Hakmook Kang; C Chad Quarles; Zhongliang Zu; Daniel F Gochberg; John C Gore; Junzhong Xu
Journal:  Magn Reson Med       Date:  2015-09-16       Impact factor: 4.668

5.  Deformable registration for quantifying longitudinal tumor changes during neoadjuvant chemotherapy.

Authors:  Yangming Ou; Susan P Weinstein; Emily F Conant; Sarah Englander; Xiao Da; Bilwaj Gaonkar; Meng-Kang Hsieh; Mark Rosen; Angela DeMichele; Christos Davatzikos; Despina Kontos
Journal:  Magn Reson Med       Date:  2014-07-15       Impact factor: 4.668

6.  Early assessment of breast cancer response to neoadjuvant chemotherapy by semi-quantitative analysis of high-temporal resolution DCE-MRI: preliminary results.

Authors:  Richard G Abramson; Xia Li; Tamarya Lea Hoyt; Pei-Fang Su; Lori R Arlinghaus; Kevin J Wilson; Vandana G Abramson; A Bapsi Chakravarthy; Thomas E Yankeelov
Journal:  Magn Reson Imaging       Date:  2013-08-15       Impact factor: 2.546

Review 7.  Imaging Considerations and Interprofessional Opportunities in the Care of Breast Cancer Patients in the Neoadjuvant Setting.

Authors:  Anna G Sorace; Sara Harvey; Anum Syed; Thomas E Yankeelov
Journal:  Semin Oncol Nurs       Date:  2017-09-15       Impact factor: 2.315

8.  Correlation of tumor characteristics derived from DCE-MRI and DW-MRI with histology in murine models of breast cancer.

Authors:  Stephanie L Barnes; Anna G Sorace; Mary E Loveless; Jennifer G Whisenant; Thomas E Yankeelov
Journal:  NMR Biomed       Date:  2015-08-30       Impact factor: 4.044

9.  Repeatability, reproducibility, and accuracy of quantitative mri of the breast in the community radiology setting.

Authors:  Anna G Sorace; Chengyue Wu; Stephanie L Barnes; Angela M Jarrett; Sarah Avery; Debra Patt; Boone Goodgame; Jeffery J Luci; Hakmook Kang; Richard G Abramson; Thomas E Yankeelov; John Virostko
Journal:  J Magn Reson Imaging       Date:  2018-03-23       Impact factor: 4.813

10.  Dynamic contrast-enhanced magnetic resonance imaging and diffusion-weighted magnetic resonance imaging for predicting the response of locally advanced breast cancer to neoadjuvant therapy: a meta-analysis.

Authors:  John Virostko; Allison Hainline; Hakmook Kang; Lori R Arlinghaus; Richard G Abramson; Stephanie L Barnes; Jeffrey D Blume; Sarah Avery; Debra Patt; Boone Goodgame; Thomas E Yankeelov; Anna G Sorace
Journal:  J Med Imaging (Bellingham)       Date:  2017-11-24
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