Literature DB >> 21928696

Early prediction of response to neoadjuvant chemotherapy for locally advanced breast cancer using MRI.

Mariko Kawamura1, Hiroko Satake, Satoko Ishigaki, Akiko Nishio, Masataka Sawaki, Shinji Naganawa.   

Abstract

Neoadjuvant chemotherapy (NAC) is the favored treatment of choice among locally advanced breast cancer patients because it significantly increases the possibility of breast-conserving surgery. However, for non-responders, an early prediction of response to NAC is essential. The purpose of this study was to determine whether an early prediction of response to NAC is possible using MRI. Eleven breast cancer patients (12 lesions) scheduled to receive NAC were recruited for this study. The patients were examined by MRI prior to and after the first and fourth courses of anthracycline-containing chemotherapy and after subsequent taxane-containing chemotherapy. Lesions were divided into 2 types (mass type and non-mass type) based on contrast MRI prior to chemotherapy. Among 8 mass types, 6 were responders (R) and 2 were non-responders (NR). R cases showed either an increased apparent diffusion coefficient (ADC) or volume reduction after the first course of NAC, whereas NR cases showed neither (p < 0.005). Of the 4 non-mass types, 2 were R and 2 were NR. Changes in ADC or volume after the first course of NAC may indicate chemo-sensitivity for mass-type breast cancer. However, the same method cannot be used to predict the response to NAC for non-mass types.

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Year:  2011        PMID: 21928696      PMCID: PMC4831223     

Source DB:  PubMed          Journal:  Nagoya J Med Sci        ISSN: 0027-7622            Impact factor:   1.131


  21 in total

1.  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

2.  Dynamic contrast-enhanced MRI for prediction of breast cancer response to neoadjuvant chemotherapy: initial results.

Authors:  Claudette E Loo; H Jelle Teertstra; Sjoerd Rodenhuis; Marc J van de Vijver; Juliane Hannemann; Saar H Muller; Marie-Jeanne Vrancken Peeters; Kenneth G A Gilhuijs
Journal:  AJR Am J Roentgenol       Date:  2008-11       Impact factor: 3.959

3.  Preliminary study of early response to neoadjuvant chemotherapy after the first cycle in breast cancer: comparison of 1H magnetic resonance spectroscopy with diffusion magnetic resonance imaging.

Authors:  Mitsuhiro Tozaki; Yu Oyama; Eisuke Fukuma
Journal:  Jpn J Radiol       Date:  2010-02-26       Impact factor: 2.374

4.  Breast-conserving surgery after chemotherapy: value of MDCT for determining tumor distribution and shrinkage pattern.

Authors:  Mitsuhiro Tozaki; Tadashi Kobayashi; Shinji Uno; Keisuke Aiba; Hiroshi Takeyama; Hisashi Shioya; Isao Tabei; Yasuo Toriumi; Masafumi Suzuki; Kunihiko Fukuda
Journal:  AJR Am J Roentgenol       Date:  2006-02       Impact factor: 3.959

5.  Preoperative chemotherapy in patients with operable breast cancer: nine-year results from National Surgical Adjuvant Breast and Bowel Project B-18.

Authors:  N Wolmark; J Wang; E Mamounas; J Bryant; B Fisher
Journal:  J Natl Cancer Inst Monogr       Date:  2001

6.  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

7.  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

8.  Prediction of clinicopathologic response of breast cancer to primary chemotherapy at contrast-enhanced MR imaging: initial clinical results.

Authors:  Anwar R Padhani; Carmel Hayes; Laura Assersohn; Trevor Powles; Andreas Makris; John Suckling; Martin O Leach; Janet E Husband
Journal:  Radiology       Date:  2006-03-16       Impact factor: 11.105

9.  Accuracy of clinical evaluation of locally advanced breast cancer in patients receiving neoadjuvant chemotherapy.

Authors:  Raquel Prati; Christina A Minami; Jeff A Gornbein; Nanette Debruhl; Debbie Chung; Helena R Chang
Journal:  Cancer       Date:  2009-03-15       Impact factor: 6.860

10.  Utility of initial MRI for predicting extent of residual disease after neoadjuvant chemotherapy: analysis of 70 breast cancer patients.

Authors:  Yoriko Murata; Yasuhiro Ogawa; Shoji Yoshida; Kei Kubota; Satoshi Itoh; Mitsutaka Fukumoto; Akihito Nishioka; Toshiaki Moriki; Hironori Maeda; Yosuke Tanaka
Journal:  Oncol Rep       Date:  2004-12       Impact factor: 3.906

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  4 in total

1.  Multivariate machine learning models for prediction of pathologic response to neoadjuvant therapy in breast cancer using MRI features: a study using an independent validation set.

Authors:  Elizabeth Hope Cain; Ashirbani Saha; Michael R Harowicz; Jeffrey R Marks; P Kelly Marcom; Maciej A Mazurowski
Journal:  Breast Cancer Res Treat       Date:  2018-10-16       Impact factor: 4.872

Review 2.  Diffusion MRI in early cancer therapeutic response assessment.

Authors:  C J Galbán; B A Hoff; T L Chenevert; B D Ross
Journal:  NMR Biomed       Date:  2016-01-15       Impact factor: 4.044

3.  DCE-MRI and parametric imaging in monitoring response to neoadjuvant chemotherapy in breast carcinoma: a preliminary report.

Authors:  Anjna Sharma; Sanjiv Sharma; Shikha Sood; Rajeev K Seam; Mukesh Sharma; Vikas Fotedar
Journal:  Pol J Radiol       Date:  2018-05-18

Review 4.  Clinical application of magnetic resonance imaging in management of breast cancer patients receiving neoadjuvant chemotherapy.

Authors:  Jeon-Hor Chen; Min-Ying Su
Journal:  Biomed Res Int       Date:  2013-06-05       Impact factor: 3.411

  4 in total

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