Literature DB >> 21692116

MRI in breast cancer therapy monitoring.

Rebekah McLaughlin1, Nola Hylton.   

Abstract

Breast MRI has several roles in the clinical management of breast cancer, including as a screening method for high-risk women, as a diagnostic tool used as an adjunct to mammography and ultrasound, and for the staging of disease extent prior to treatment. In addition to these uses, MRI is also employed to track small changes in tumor size and microenvironment. MRI has produced several early indicators of treatment response in clinical trials over the last 10  years, including initial lesion pattern, changes in lesion size, kinetic parameters, apparent diffusion coefficient and T(2) value; the related technique of (1) H MRS has also shown that choline concentration, T(2) value and water-to-fat ratio are response indicators. In addition to measuring anatomical changes in the lesion size, as performed in traditional radiology, MRI has the ability to track vascular and cellular changes using dynamic contrast-enhanced MRI and diffusion-weighted MRI, respectively. By adding (1) H MRS to MRI examinations, metabolic changes can also be determined. These functional imaging techniques allow studies to focus on early time points relative to neoadjuvant treatment. Early treatment response predictors may allow therapy to be tailored to individual patients and thus aid in the realization of the goal of personalized medicine.
Copyright © 2011 John Wiley & Sons, Ltd.

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Year:  2011        PMID: 21692116      PMCID: PMC4509744          DOI: 10.1002/nbm.1739

Source DB:  PubMed          Journal:  NMR Biomed        ISSN: 0952-3480            Impact factor:   4.044


  75 in total

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2.  Neoadjuvant versus adjuvant systemic treatment in breast cancer: a meta-analysis.

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Journal:  J Natl Cancer Inst       Date:  2005-02-02       Impact factor: 13.506

3.  MRI measurements of breast tumor volume predict response to neoadjuvant chemotherapy and recurrence-free survival.

Authors:  Savannah C Partridge; Jessica E Gibbs; Ying Lu; Laura J Esserman; Debasish Tripathy; Dulcy S Wolverton; Hope S Rugo; E Shelley Hwang; Cheryl A Ewing; Nola M Hylton
Journal:  AJR Am J Roentgenol       Date:  2005-06       Impact factor: 3.959

4.  Lesion T(2) relaxation times and volumes predict the response of malignant breast lesions to neoadjuvant chemotherapy.

Authors:  P Clara Tan; Martin D Pickles; Martin Lowry; David J Manton; Lindsay W Turnbull
Journal:  Magn Reson Imaging       Date:  2007-06-15       Impact factor: 2.546

5.  Utility of magnetic resonance imaging in the management of breast cancer: evidence for improved preoperative staging.

Authors:  L Esserman; N Hylton; L Yassa; J Barclay; S Frankel; E Sickles
Journal:  J Clin Oncol       Date:  1999-01       Impact factor: 44.544

Review 6.  Modeling tracer kinetics in dynamic Gd-DTPA MR imaging.

Authors:  P S Tofts
Journal:  J Magn Reson Imaging       Date:  1997 Jan-Feb       Impact factor: 4.813

7.  Neoadjuvant chemotherapy of locally advanced breast cancer: predicting response with in vivo (1)H MR spectroscopy--a pilot study at 4 T.

Authors:  Sina Meisamy; Patrick J Bolan; Eva H Baker; Robin L Bliss; Evin Gulbahce; Lenore I Everson; Michael T Nelson; Tim H Emory; Todd M Tuttle; Douglas Yee; Michael Garwood
Journal:  Radiology       Date:  2004-11       Impact factor: 11.105

8.  Predicting pathologic response to neoadjuvant chemotherapy in breast cancer by using MR imaging and quantitative 1H MR spectroscopy.

Authors:  Hyeon-Man Baek; Jeon-Hor Chen; Ke Nie; Hon J Yu; Shadfar Bahri; Rita S Mehta; Orhan Nalcioglu; Min-Ying Su
Journal:  Radiology       Date:  2009-03-10       Impact factor: 11.105

9.  Accuracy of MRI for estimating residual tumor size after neoadjuvant chemotherapy in locally advanced breast cancer: relation to response patterns on MRI.

Authors:  Hyun Jung Kim; Young-Hyuck Im; Boo-Kyung Han; Nami Choi; Jeeyun Lee; Jung Han Kim; Yoon-La Choi; Jin-Seok Ahn; Seok-Jin Nam; Young Suk Park; Yeon Hyeon Choe; Young-Hyeh Ko; Jung-Hyun Yang
Journal:  Acta Oncol       Date:  2007       Impact factor: 4.089

10.  Breast tumors: comparative accuracy of MR imaging relative to mammography and US for demonstrating extent.

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Journal:  Radiology       Date:  1995-12       Impact factor: 11.105

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  17 in total

Review 1.  Pre-treatment differences and early response monitoring of neoadjuvant chemotherapy in breast cancer patients using magnetic resonance imaging: a systematic review.

Authors:  R Prevos; M L Smidt; V C G Tjan-Heijnen; M van Goethem; R G Beets-Tan; J E Wildberger; M B I Lobbes
Journal:  Eur Radiol       Date:  2012-09-16       Impact factor: 5.315

2.  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

Review 3.  Promise and pitfalls of quantitative imaging in oncology clinical trials.

Authors:  Brenda F Kurland; Elizabeth R Gerstner; James M Mountz; Lawrence H Schwartz; Christopher W Ryan; Michael M Graham; John M Buatti; Fiona M Fennessy; Edward A Eikman; Virendra Kumar; Kenneth M Forster; Richard L Wahl; Frank S Lieberman
Journal:  Magn Reson Imaging       Date:  2012-08-13       Impact factor: 2.546

4.  Flexible, 31-Channel breast coil for enhanced parallel imaging performance at 3T.

Authors:  Ileana Hancu; Eric Fiveland; Keith Park; Randy O Giaquinto; Kenneth Rohling; Florian Wiesinger
Journal:  Magn Reson Med       Date:  2015-03-13       Impact factor: 4.668

5.  Diffuse Optical Monitoring of the Neoadjuvant Breast Cancer Therapy.

Authors:  Regine Choe; Turgut Durduran
Journal:  IEEE J Sel Top Quantum Electron       Date:  2011-12-02       Impact factor: 4.544

6.  Identification of intrinsic imaging phenotypes for breast cancer tumors: preliminary associations with gene expression profiles.

Authors:  Ahmed Bilal Ashraf; Dania Daye; Sara Gavenonis; Carolyn Mies; Michael Feldman; Mark Rosen; Despina Kontos
Journal:  Radiology       Date:  2014-04-04       Impact factor: 11.105

7.  Noninvasive identification of viable cell populations in docetaxel-treated breast tumors using ferritin-based magnetic resonance imaging.

Authors:  YoonSeok Choi; Hoe Suk Kim; Kyoung-Won Cho; Kyung-Min Lee; Yoon Jung Yi; Sung-Jong Eun; Hyun Jin Kim; Jisu Woo; Seung Hong Choi; Taeg-Keun Whangbo; ChulSoo Choi; Dong-Young Noh; Woo Kyung Moon
Journal:  PLoS One       Date:  2013-01-02       Impact factor: 3.240

8.  Breast DCE-MRI Kinetic Heterogeneity Tumor Markers: Preliminary Associations With Neoadjuvant Chemotherapy Response.

Authors:  Ahmed Ashraf; Bilwaj Gaonkar; Carolyn Mies; Angela DeMichele; Mark Rosen; Christos Davatzikos; Despina Kontos
Journal:  Transl Oncol       Date:  2015-06       Impact factor: 4.243

Review 9.  Meta-analysis of agreement between MRI and pathologic breast tumour size after neoadjuvant chemotherapy.

Authors:  M L Marinovich; P Macaskill; L Irwig; F Sardanelli; G von Minckwitz; E Mamounas; M Brennan; S Ciatto; N Houssami
Journal:  Br J Cancer       Date:  2013-08-20       Impact factor: 7.640

10.  Clinically meaningful tumor reduction rates vary by prechemotherapy MRI phenotype and tumor subtype in the I-SPY 1 TRIAL (CALGB 150007/150012; ACRIN 6657).

Authors:  Rita A Mukhtar; Christina Yau; Mark Rosen; Vickram J Tandon; Nola Hylton; Laura J Esserman
Journal:  Ann Surg Oncol       Date:  2013-06-19       Impact factor: 5.344

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