Literature DB >> 16509837

Preoperative evaluation of residual tumor extent by three-dimensional magnetic resonance imaging in breast cancer patients treated with neoadjuvant chemotherapy.

Kenji Akazawa1, Yasuhiro Tamaki, Tetsuya Taguchi, Yoshio Tanji, Yasuo Miyoshi, Seung Jin Kim, Satsuki Ueda, Tetsu Yanagisawa, Yoshinobu Sato, Shinichi Tamura, Shinzaburo Noguchi.   

Abstract

The purpose of this study was to evaluate the usefulness of three-dimensional magnetic resonance imaging (3D MRI) for the preoperative assessment of residual tumor extent in breast cancer patients treated with neoadjuvant chemotherapy (NAC). Thirty-eight breast cancer patients treated with NAC containing taxane and/or anthracycline for 3-6 months were enrolled in this study. Tumor size was measured by means of calipers, ultrasonography, and dynamic MRI before and after NAC. Three-dimensional maximum intensity projection MRIs to measure the tumor size were created for every case. The tumor size determined by calipers, ultrasonography, and 3D MRI after NAC was compared with that determined by pathologic examination. The tumor size determined by 3D MRI showed a strong correlation with that determined by pathologic examination (r = 0.896). Moderate, but significant correlations were found between measurements obtained with calipers and pathology (r = 0.554), and between ultrasonography and pathology (r = 0.484). The response rates to NAC were estimated at 84.2% with calipers, 58.0% with ultrasonography, and 44.7% with 3D MRI. Calipers and ultrasonography thus tended to overestimate the response to NAC compared to 3D MRI (p < 0.001 and 0.240, respectively). Three-dimensional MRI can visualize residual tumor extent after NAC more accurately than calipers and ultrasonography, and seems to be more reliable than other modalities for estimating response to NAC. It should also help surgeons with decision making for breast-conserving surgery after NAC.

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Year:  2006        PMID: 16509837     DOI: 10.1111/j.1075-122X.2006.00220.x

Source DB:  PubMed          Journal:  Breast J        ISSN: 1075-122X            Impact factor:   2.431


  26 in total

1.  Neoadjuvant chemotherapy for breast cancer: correlation between the baseline MR imaging findings and responses to therapy.

Authors:  Takayoshi Uematsu; Masako Kasami; Sachiko Yuen
Journal:  Eur Radiol       Date:  2010-05-09       Impact factor: 5.315

2.  Accuracy of MRI volume measurements of breast lesions: comparison between automated, semiautomated and manual assessment.

Authors:  Marga B Rominger; Daphne Fournell; Beenarose Thanka Nadar; Sarah N M Behrens; Jens H Figiel; Boris Keil; Johannes T Heverhagen
Journal:  Eur Radiol       Date:  2009-01-22       Impact factor: 5.315

3.  Accuracy of ultrasonography and mammography in predicting pathologic response after neoadjuvant chemotherapy for breast cancer.

Authors:  Jason D Keune; Donna B Jeffe; Mario Schootman; Abigail Hoffman; William E Gillanders; Rebecca L Aft
Journal:  Am J Surg       Date:  2010-04       Impact factor: 2.565

4.  Size assessment of breast lesions by means of a computer-aided detection (CAD) system for magnetic resonance mammography.

Authors:  G Levrini; R Sghedoni; C Mori; A Botti; R Vacondio; A Nitrosi; M Iori; F Nicoli
Journal:  Radiol Med       Date:  2011-03-19       Impact factor: 3.469

5.  Magnetic resonance imaging as a predictor of pathologic response in patients treated with neoadjuvant systemic treatment for operable breast cancer. Translational Breast Cancer Research Consortium trial 017.

Authors:  Jennifer F De Los Santos; Alan Cantor; Keith D Amos; Andres Forero; Mehra Golshan; Janet K Horton; Clifford A Hudis; Nola M Hylton; Kandace McGuire; Funda Meric-Bernstam; Ingrid M Meszoely; Rita Nanda; E Shelley Hwang
Journal:  Cancer       Date:  2013-02-21       Impact factor: 6.860

6.  Diagnostic performance of magnetic resonance imaging for assessing tumor response in patients with HER2-negative breast cancer receiving neoadjuvant chemotherapy is associated with molecular biomarker profile.

Authors:  Aida Kuzucan; Jeon-Hor Chen; Shadfar Bahri; Rita S Mehta; Philip M Carpenter; Peter T Fwu; Hon J Yu; David J B Hsiang; Karen T Lane; John A Butler; Stephen A Feig; Min-Ying Su
Journal:  Clin Breast Cancer       Date:  2012-04       Impact factor: 3.225

7.  Neoadjuvant Chemotherapy for Breast Cancer: Functional Tumor Volume by MR Imaging Predicts Recurrence-free Survival-Results from the ACRIN 6657/CALGB 150007 I-SPY 1 TRIAL.

Authors:  Nola M Hylton; Constantine A Gatsonis; Mark A Rosen; Constance D Lehman; David C Newitt; Savannah C Partridge; Wanda K Bernreuter; Etta D Pisano; Elizabeth A Morris; Paul T Weatherall; Sandra M Polin; Gillian M Newstead; Helga S Marques; Laura J Esserman; Mitchell D Schnall
Journal:  Radiology       Date:  2015-12-01       Impact factor: 11.105

Review 8.  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

Review 9.  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

10.  [Therapy monitoring of neoadjuvant therapy with MRI. RECIST and functional imaging].

Authors:  S Grandl; M Ingrisch; K Hellerhoff
Journal:  Radiologe       Date:  2014-03       Impact factor: 0.635

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