Literature DB >> 28657689

Neoadjuvant chemotherapy with MRI monitoring for breast cancer.

R V Dave1, R Millican-Slater2, D Dodwell3, K Horgan1, N Sharma4.   

Abstract

BACKGROUND: Neoadjuvant chemotherapy (NACT) is increasingly being offered to patients with breast cancer. No survival benefit has been demonstrated for NACT, but it may serve to reduce tumour size and improve prognosis through the attainment of a pathological complete response (pCR). The role and mode of MRI monitoring during NACT remain unclear.
METHODS: Patients managed with NACT at a UK centre over 7 years were studied using a prospectively maintained database, which also included details of MRI. Clinicopathological and radiological predictors of NACT response were analysed in a univariable setting and survival analysis was undertaken using the Kaplan-Meier method.
RESULTS: A total of 278 patients underwent surgery following NACT, of whom 200 (71·9 per cent) had residual invasive disease and 78 (28·1 per cent) achieved a pCR. Attaining a pCR improved survival significantly compared with that of patients with residual invasive disease (mean 77·1 versus 66·0 months; P = 0·004) and resulted in significantly fewer recurrences (6·0 versus 24·3 per cent; P = 0·001). The pCR rate varied significantly among molecular subgroups of breast cancer (P < 0·001): luminal A, 6 per cent; luminal B/human epidermal growth factor 2 receptor (Her2)-negative, 21 per cent; luminal B/Her2-positive, 35 per cent, Her2-positive/non-luminal, 72 per cent; and triple-negative breast cancer (TNBC), 32 per cent. High-grade disease (G3) correlated with an increased rate of pCR. A radiological response seen on the mid-treatment MRI was predictive of pCR (sensitivity 77·6 per cent, but specificity only 53·3 per cent), as was complete radiological response at final MRI (specificity 97·6 per cent, but sensitivity only 32·2 per cent).
CONCLUSION: NACT allows identification of patient subgroups within TNBC and Her2-positive cohorts with a good prognosis. MRI can be used to identify patients who are responding to treatment.
© 2017 BJS Society Ltd Published by John Wiley & Sons Ltd.

Entities:  

Mesh:

Year:  2017        PMID: 28657689     DOI: 10.1002/bjs.10544

Source DB:  PubMed          Journal:  Br J Surg        ISSN: 0007-1323            Impact factor:   6.939


  6 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

2.  Development and validation of a nomogram based on pretreatment dynamic contrast-enhanced MRI for the prediction of pathologic response after neoadjuvant chemotherapy for triple-negative breast cancer.

Authors:  Yanbo Li; Yongzi Chen; Rui Zhao; Yu Ji; Junnan Li; Ying Zhang; Hong Lu
Journal:  Eur Radiol       Date:  2021-11-12       Impact factor: 7.034

Review 3.  Magnetic resonance imaging-guided and targeted theranostics of colorectal cancer.

Authors:  Yanan Li; Jingqi Xin; Yongbing Sun; Tao Han; Hui Zhang; Feifei An
Journal:  Cancer Biol Med       Date:  2020-05-15       Impact factor: 4.248

4.  Changes in background parenchymal enhancement in HER2-positive breast cancer before and after neoadjuvant chemotherapy: Association with pathologic complete response.

Authors:  Jing-Min Dong; Hong-Xia Wang; Xiao-Fei Zhong; Kun Xu; Jia Bian; Yan Feng; Liang Chen; Lin Zhang; Xia Wang; De-Jing Ma; Bin Wang
Journal:  Medicine (Baltimore)       Date:  2018-10       Impact factor: 1.817

5.  The diagnostic accuracy of magnetic resonance imaging in predicting pathologic complete response after neoadjuvant chemotherapy in patients with different molecular subtypes of breast cancer.

Authors:  Xinfeng Zhang; Dandan Wang; Zhuangkai Liu; Zheng Wang; Qiang Li; Hong Xu; Bin Zhang; Ting Liu; Feng Jin
Journal:  Quant Imaging Med Surg       Date:  2020-01

6.  Radiologic complete response (rCR) in contrast-enhanced magnetic resonance imaging (CE-MRI) after neoadjuvant chemotherapy for early breast cancer predicts recurrence-free survival but not pathologic complete response (pCR).

Authors:  Simon Peter Gampenrieder; Andreas Peer; Christian Weismann; Matthias Meissnitzer; Gabriel Rinnerthaler; Johanna Webhofer; Theresa Westphal; Marina Riedmann; Thomas Meissnitzer; Heike Egger; Frederike Klaassen Federspiel; Roland Reitsamer; Cornelia Hauser-Kronberger; Katharina Stering; Klaus Hergan; Brigitte Mlineritsch; Richard Greil
Journal:  Breast Cancer Res       Date:  2019-01-31       Impact factor: 6.466

  6 in total

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