Literature DB >> 21086082

MR and US imaging for breast cancer patients who underwent conservation surgery after neoadjuvant chemotherapy: comparison of triple negative breast cancer and other intrinsic subtypes.

Hiroshi Nakahara1, Yukiko Yasuda, Eiichiro Machida, Yorio Maeda, Hidemi Furusawa, Kansei Komaki, Mayumi Funagayama, Mayumi Nakahara, Shozo Tamura, Futoshi Akiyama.   

Abstract

BACKGROUND: Neoadjuvant chemotherapy (NAC) is commonly utilized to treat operable breast cancer. The purpose of this study was to review the findings of ultrasonography (US) and magnetic resonance (MR) imaging in patients treated with breast conservation surgery (BCS) after NAC with a focus on intrinsic subtypes.
METHODS: Eighty-six patients underwent BCS after NAC. The tumors were classified into four subgroups by receptor status. US and MR were performed before and after NAC. The tumor diameters in US and MR after NAC were examined for correlations with pathological tumor distances in the specimens from BCS after NAC.
RESULTS: The correlation coefficient (r) of US to pathological tumor size was 0.3 in all tumors, 0.6 in HER2-type tumors, and 0.7 in triple negative breast cancers (TNBC). The correlation coefficient of tumor size in MR to pathological tumor size was 0.9 in TNBC, and other correlations were not statistically significant.
CONCLUSIONS: The correlation between tumor size in MR and pathological tumor size in triple negative breast cancers corresponded best. This information is one of the clues to selecting patients for BCS after NAC.

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Year:  2010        PMID: 21086082     DOI: 10.1007/s12282-010-0235-4

Source DB:  PubMed          Journal:  Breast Cancer        ISSN: 1340-6868            Impact factor:   4.239


  13 in total

1.  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

2.  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

3.  Performance of Mid-Treatment Breast Ultrasound and Axillary Ultrasound in Predicting Response to Neoadjuvant Chemotherapy by Breast Cancer Subtype.

Authors:  Rosalind P Candelaria; Roland L Bassett; William Fraser Symmans; Maheshwari Ramineni; Stacy L Moulder; Henry M Kuerer; Alastair M Thompson; Wei Tse Yang
Journal:  Oncologist       Date:  2017-03-17

4.  Impact of factors affecting the residual tumor size diagnosed by MRI following neoadjuvant chemotherapy in comparison to pathology.

Authors:  Jeon-Hor Chen; Shadfar Bahri; Rita S Mehta; Philip M Carpenter; Christine E McLaren; Wen-Pin Chen; Peter T Fwu; David J B Hsiang; Karen T Lane; John A Butler; Min-Ying Su
Journal:  J Surg Oncol       Date:  2013-10-28       Impact factor: 3.454

5.  The role of magnetic resonance imaging in assessing residual disease and pathologic complete response in breast cancer patients receiving neoadjuvant chemotherapy: a systematic review.

Authors:  M B I Lobbes; R Prevos; M Smidt; V C G Tjan-Heijnen; M van Goethem; R Schipper; R G Beets-Tan; J E Wildberger
Journal:  Insights Imaging       Date:  2013-01-29

Review 6.  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

7.  Agreement between MRI and pathologic breast tumor size after neoadjuvant chemotherapy, and comparison with alternative tests: individual patient data meta-analysis.

Authors:  Michael L Marinovich; Petra Macaskill; Les Irwig; Francesco Sardanelli; Eleftherios Mamounas; Gunter von Minckwitz; Valentina Guarneri; Savannah C Partridge; Frances C Wright; Jae Hyuck Choi; Madhumita Bhattacharyya; Laura Martincich; Eren Yeh; Viviana Londero; Nehmat Houssami
Journal:  BMC Cancer       Date:  2015-10-08       Impact factor: 4.430

Review 8.  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

9.  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

10.  Meta-analysis on the association between pathologic complete response and triple-negative breast cancer after neoadjuvant chemotherapy.

Authors:  Kunpeng Wu; Qiaozhu Yang; Yi Liu; Aibing Wu; Zhixiong Yang
Journal:  World J Surg Oncol       Date:  2014-04-15       Impact factor: 2.754

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