Literature DB >> 20373434

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

Mitsuhiro Tozaki1, Masaaki Sakamoto, Yu Oyama, Katsuya Maruyama, Eisuke Fukuma.   

Abstract

PURPOSE: To assess the efficacy of quantitative (1)H MR spectroscopy (MRS) using the external standard method to predict the pathological response to neoadjuvant chemotherapy with an anthracycline-based regimen in breast cancer patients.
MATERIALS AND METHODS: Sixteen patients with breast cancer were included. Tumor response to chemotherapy was evaluated after the second cycle using MRI and MRS. Final histopathology following surgery after four cycles of chemotherapy served as reference.
RESULTS: The average normalized choline (Cho) signal was 1.2 (range, 0.40 to 2.8). There were no significant differences in the baseline tumor size and normalized Cho signals between the pathological responders (n = 8) and nonresponders (n = 8). The reduction rates of the normalized Cho signal were statistically significantly different between the pathological responders and nonresponders (P = 0.004), whereas the reduction rates of the lesion size were not significantly different between the two groups. When 40-50% of the reduction rates of the normalized Cho was chosen as the cutoff value, the positive and negative predictive values of MRS were 89% (8/9) and 100% (7/7), respectively.
CONCLUSION: The changes in Cho after the second cycle of chemotherapy as determined by quantitative MRS may be more sensitive than changes in the tumor size to predict the pathological response. (c) 2010 Wiley-Liss, Inc.

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Year:  2010        PMID: 20373434     DOI: 10.1002/jmri.22118

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  23 in total

1.  (1)H MR spectroscopy with external reference solution at 1.5 T for differentiating malignant and benign breast lesions: comparison using qualitative and quantitative approaches.

Authors:  Waka Mizukoshi; Eito Kozawa; Kaiji Inoue; Naoko Saito; Naoko Nishi; Toshiaki Saeki; Fumiko Kimura
Journal:  Eur Radiol       Date:  2012-07-10       Impact factor: 5.315

2.  MR spectroscopy of breast cancer for assessing early treatment response: Results from the ACRIN 6657 MRS trial.

Authors:  Patrick J Bolan; Eunhee Kim; Benjamin A Herman; Gillian M Newstead; Mark A Rosen; Mitchell D Schnall; Etta D Pisano; Paul T Weatherall; Elizabeth A Morris; Constance D Lehman; Michael Garwood; Michael T Nelson; Douglas Yee; Sandra M Polin; Laura J Esserman; Constantine A Gatsonis; Gregory J Metzger; David C Newitt; Savannah C Partridge; Nola M Hylton
Journal:  J Magn Reson Imaging       Date:  2016-12-16       Impact factor: 4.813

Review 3.  Proton MR spectroscopy in the breast: Technical innovations and clinical applications.

Authors:  Reza Fardanesh; Maria Adele Marino; Daly Avendano; Doris Leithner; Katja Pinker; Sunitha B Thakur
Journal:  J Magn Reson Imaging       Date:  2019-03-07       Impact factor: 4.813

4.  Early prediction of response to neoadjuvant chemotherapy in breast cancer patients: comparison of single-voxel (1)H-magnetic resonance spectroscopy and (18)F-fluorodeoxyglucose positron emission tomography.

Authors:  Nariya Cho; Seock-Ah Im; Keon Wook Kang; In-Ae Park; In Chan Song; Kyung-Hun Lee; Tae-Yong Kim; Hyunjong Lee; In Kook Chun; Hai-Jeon Yoon; Woo Kyung Moon
Journal:  Eur Radiol       Date:  2015-09-17       Impact factor: 5.315

5.  Early therapy assessment of combined anti-DR5 antibody and carboplatin in triple-negative breast cancer xenografts in mice using diffusion-weighted imaging and (1)H MR spectroscopy.

Authors:  Guihua Zhai; Hyunki Kim; David Sarver; Sharon Samuel; Lee Whitworth; Heidi Umphrey; Denise K Oelschlager; T Mark Beasley; Kurt R Zinn
Journal:  J Magn Reson Imaging       Date:  2013-10-22       Impact factor: 4.813

Review 6.  In vivo 1H MRS in the assessment of the therapeutic response of breast cancer patients.

Authors:  Uma Sharma; Hyeon Man Baek; Min Ying Su; Naranamangalam R Jagannathan
Journal:  NMR Biomed       Date:  2011-01-28       Impact factor: 4.044

7.  In vivo MRS of locally advanced breast cancer: characteristics related to negative or positive choline detection and early monitoring of treatment response.

Authors:  Tone F Bathen; Mariann G Heldahl; Beathe Sitter; Riyas Vettukattil; Anna Bofin; Steinar Lundgren; Ingrid S Gribbestad
Journal:  MAGMA       Date:  2011-09-10       Impact factor: 2.310

8.  Quantitative in vivo proton MR spectroscopic assessment of lipid metabolism: Value for breast cancer diagnosis and prognosis.

Authors:  Sunitha B Thakur; Joao V Horvat; Ileana Hancu; Olivia M Sutton; Blanca Bernard-Davila; Michael Weber; Jung Hun Oh; Maria Adele Marino; Daly Avendano; Doris Leithner; Sandra Brennan; Dilip Giri; Elizabeth Manderski; Elizabeth A Morris; Katja Pinker
Journal:  J Magn Reson Imaging       Date:  2019-01-03       Impact factor: 4.813

9.  Current Status and Future Prospects of Proton MR Spectroscopy of the Breast with a 1.5T MR Unit.

Authors:  Mitsuhiro Tozaki; Katsuya Maruyama
Journal:  J Oncol       Date:  2010-09-26       Impact factor: 4.375

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

Authors:  Richard G Abramson; 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
Journal:  Breast Cancer (Dove Med Press)       Date:  2012-10
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