Literature DB >> 20863721

Multiparametric magnetic resonance imaging, spectroscopy and multinuclear (²³Na) imaging monitoring of preoperative chemotherapy for locally advanced breast cancer.

Michael A Jacobs1, Vered Stearns, Antonio C Wolff, Katarzyna Macura, Pedram Argani, Nagi Khouri, Theodore Tsangaris, Peter B Barker, Nancy E Davidson, Zaver M Bhujwalla, David A Bluemke, Ronald Ouwerkerk.   

Abstract

RATIONALE AND
OBJECTIVES: The aim of this prospective study was to investigate using multiparametric and multinuclear magnetic resonance imaging during preoperative systemic therapy for locally advanced breast cancer.
MATERIALS AND METHODS: Women with operable stage 2 or 3 breast cancer who received preoperative systemic therapy were studied using dynamic contrast-enhanced magnetic resonance imaging, magnetic resonance spectroscopy, and ²³Na magnetic resonance. Quantitative metrics of choline peak signal-to-noise ratio, total tissue sodium concentration, tumor volumes, and Response Evaluation Criteria in Solid Tumors were determined and compared to final pathologic results using receiver-operating characteristic analysis. Hormonal markers were investigated. Statistical significance was set at P < .05.
RESULTS: Eighteen eligible women were studied. Fifteen responded to therapy, four (22%) with pathologic complete response and 11 (61%) with pathologic partial response. Three patients (17%) had no response. Among estrogen receptor-positive, HER2-positive, and triple-negative phenotypes, observed frequencies of pathologic complete response, pathologic partial response, and no response were 2, 5, and 0; 1, 4, and 0; and 1, 1, and 3, respectively. Responders (pathologic complete response and pathologic partial response) had the largest reductions in choline signal-to-noise ratio (35%, from 7.2 ± 2.3 to 4.6 ± 2; P < .01) compared to nonresponders (11%, from 8.4 ± 2.7 to 7.5 ± 3.6; P = .13) after the first cycle. Total tissue sodium concentration significantly decreased in responders (27%, from 66 ± 18 to 48.4 ± 8 mmol/L; P = .01), while there was little change in nonresponders (51.7 ± 7.6 to 56.5 ± 1.6 mmol/L; P = .50). Lesion volume decreased in responders (40%, from 78 ± 78 to 46 ± 51 mm³; P = .01) and nonresponders (21%, from 100 ± 104 to 79.2 ± 87 mm³; P = .23) after the first cycle. The largest reduction in Response Evaluation Criteria in Solid Tumors occurred after the first treatment in responders (18%, from 24.5 ± 20 to 20.2 ± 18 mm; P = .01), with a slight decrease in tumor diameter noted in nonresponders (17%, from 23 ± 19 to 19.2 ± 19.1 mm; P = .80).
CONCLUSIONS: Multiparametric and multinuclear imaging parameters were significantly reduced after the first cycle of preoperative systemic therapy in responders, specifically, choline signal-to-noise ratio and sodium. These new surrogate radiologic biomarkers maybe able to predict and provide a platform for potential adaptive therapy in patients.
Copyright © 2010 AUR. Published by Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20863721      PMCID: PMC3401079          DOI: 10.1016/j.acra.2010.07.009

Source DB:  PubMed          Journal:  Acad Radiol        ISSN: 1076-6332            Impact factor:   3.173


  49 in total

Review 1.  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

2.  Rapid in vivo monitoring of chemotherapeutic response using weighted sodium magnetic resonance imaging.

Authors:  R P Kline; E X Wu; D P Petrylak; M Szabolcs; P O Alderson; M L Weisfeldt; P Cannon; J Katz
Journal:  Clin Cancer Res       Date:  2000-06       Impact factor: 12.531

3.  Diffusion-weighted imaging improves the diagnostic accuracy of conventional 3.0-T breast MR imaging.

Authors:  Riham H Ei Khouli; Michael A Jacobs; Sarah D Mezban; Peng Huang; Ihab R Kamel; Katarzyna J Macura; David A Bluemke
Journal:  Radiology       Date:  2010-07       Impact factor: 11.105

4.  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

5.  New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1).

Authors:  E A Eisenhauer; P Therasse; J Bogaerts; L H Schwartz; D Sargent; R Ford; J Dancey; S Arbuck; S Gwyther; M Mooney; L Rubinstein; L Shankar; L Dodd; R Kaplan; D Lacombe; J Verweij
Journal:  Eur J Cancer       Date:  2009-01       Impact factor: 9.162

6.  Quantitative correlation between (1)H MRS and dynamic contrast-enhanced MRI of human breast cancer.

Authors:  Hyeon-Man Baek; Hon J Yu; Jeon-Hor Chen; Orhan Nalcioglu; Min-Ying Su
Journal:  Magn Reson Imaging       Date:  2007-12-03       Impact factor: 2.546

Review 7.  Molecular and functional imaging of breast cancer.

Authors:  K Glunde; M A Jacobs; A P Pathak; D Artemov; Z M Bhujwalla
Journal:  NMR Biomed       Date:  2009-01       Impact factor: 4.044

8.  Evaluation of extra- and intracellular apparent diffusion coefficient of sodium in rat skeletal muscle: effects of prolonged ischemia.

Authors:  Andriy M Babsky; Stephen Topper; Hong Zhang; Yong Gao; Judy R James; Shahryar K Hekmatyar; Navin Bansal
Journal:  Magn Reson Med       Date:  2008-03       Impact factor: 4.668

Review 9.  Magnetic resonance imaging of the breast.

Authors:  Riham H El Khouli; Michael A Jacobs; David A Bluemke
Journal:  Semin Roentgenol       Date:  2008-10       Impact factor: 0.709

10.  Proton, diffusion-weighted imaging, and sodium (23Na) MRI of uterine leiomyomata after MR-guided high-intensity focused ultrasound: a preliminary study.

Authors:  Michael A Jacobs; Ronald Ouwerkerk; Ihab Kamel; Paul A Bottomley; David A Bluemke; Hyun S Kim
Journal:  J Magn Reson Imaging       Date:  2009-03       Impact factor: 5.119

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  28 in total

1.  Comparative analysis of nonlinear dimensionality reduction techniques for breast MRI segmentation.

Authors:  Alireza Akhbardeh; Michael A Jacobs
Journal:  Med Phys       Date:  2012-04       Impact factor: 4.071

2.  Quantitative DCE-MRI for prediction of pathological complete response following neoadjuvant treatment for locally advanced breast cancer: the impact of breast cancer subtypes on the diagnostic accuracy.

Authors:  Stylianos Drisis; Thierry Metens; Michael Ignatiadis; Konstantinos Stathopoulos; Shih-Li Chao; Marc Lemort
Journal:  Eur Radiol       Date:  2015-08-27       Impact factor: 5.315

3.  Multiparametric and Multimodality Functional Radiological Imaging for Breast Cancer Diagnosis and Early Treatment Response Assessment.

Authors:  Michael A Jacobs; Antonio C Wolff; Katarzyna J Macura; Vered Stearns; Ronald Ouwerkerk; Riham El Khouli; David A Bluemke; Richard Wahl
Journal:  J Natl Cancer Inst Monogr       Date:  2015-05

4.  Strain-encoded breast MRI in phantom and ex vivo specimens with histological validation: preliminary results.

Authors:  Ahmed A Haruoni; Jakir Hossain; Riham El Khouli; Kant M Matsuda; David A Bluemke; Nael F Osman; Michael A Jacobs
Journal:  Med Phys       Date:  2012-12       Impact factor: 4.071

Review 5.  Sodium MRI: methods and applications.

Authors:  Guillaume Madelin; Jae-Seung Lee; Ravinder R Regatte; Alexej Jerschow
Journal:  Prog Nucl Magn Reson Spectrosc       Date:  2014-03-07       Impact factor: 9.795

6.  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 7.  Focus on the glycerophosphocholine pathway in choline phospholipid metabolism of cancer.

Authors:  Kanchan Sonkar; Vinay Ayyappan; Caitlin M Tressler; Oluwatobi Adelaja; Ruoqing Cai; Menglin Cheng; Kristine Glunde
Journal:  NMR Biomed       Date:  2019-06-11       Impact factor: 4.044

Review 8.  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

9.  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

Review 10.  Multiparametric MR Imaging of Breast Cancer.

Authors:  Habib Rahbar; Savannah C Partridge
Journal:  Magn Reson Imaging Clin N Am       Date:  2016-02       Impact factor: 2.266

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