Literature DB >> 31610321

Breast cancer phenotype influences MRI response evaluation after neoadjuvant chemotherapy.

Erika M S Negrão1, Juliana A Souza2, Elvira F Marques2, Almir G V Bitencourt3.   

Abstract

PURPOSE: To evaluate which factors may influence magnetic resonance imaging (MRI) performance in the detection of pathologic complete response (pCR) after neoadjuvant chemotherapy (NAC).
METHOD: This retrospective study included 219 patients diagnosed with invasive breast carcinoma who underwent breast MRI before and after NAC. The MRI findings were compared to gold standard pathological examinations. Resolution of invasive breast disease was defined as pCR.
RESULTS: The mean age of our cohort was 48 years (range: 20-85). The molecular subtypes included: Luminal B/Her-2 negative (n = 89; 40%), triple-negative (n = 69; 32%), Luminal B/Her-2 positive (n = 43; 20%), and Her-2 overexpression (n = 18; 8%). MRI analysis after NAC showed complete response in 76 cases (35%), while pathological analysis of surgical specimens after NAC detected pCR in 85 cases (39%). The accuracy of MRI in diagnosing pCR was 80%, with 69% sensitivity, 87% specificity, and positive and negative predictive values of 78% and 82%, respectively. The only factor statistically associated with a higher discordance rate between MRI and pathologic response was the presence of non-mass enhancement at pre-treatment MRI (p = 0.003).
CONCLUSIONS: MRI demonstrated good accuracy in predicting pCR after NAC among the breast cancer patients examined. However, non-mass enhancement at pre-treatment MRI negatively affected the diagnostic performance of MRI in assessing treatment response after NAC.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Breast neoplasms; Her2; Magnetic resonance imaging; Neoadjuvant therapy; Pathological response; Triple negative radiological response

Mesh:

Year:  2019        PMID: 31610321     DOI: 10.1016/j.ejrad.2019.108701

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  6 in total

1.  Prediction of pathologic complete response on MRI in patients with breast cancer receiving neoadjuvant chemotherapy according to molecular subtypes.

Authors:  Jieun Kim; Boo-Kyung Han; Eun Young Ko; Eun Sook Ko; Ji Soo Choi; Ko Woon Park
Journal:  Eur Radiol       Date:  2022-01-06       Impact factor: 5.315

Review 2.  A review of studies on omitting surgery after neoadjuvant chemotherapy in breast cancer.

Authors:  Kexin Feng; Ziqi Jia; Gang Liu; Zeyu Xing; Jiayi Li; Jiaxin Li; Fei Ren; Jiang Wu; Wenyan Wang; Jie Wang; Jiaqi Liu; Xiang Wang
Journal:  Am J Cancer Res       Date:  2022-08-15       Impact factor: 5.942

3.  Unveiling the histopathologic spectrum of MRI-guided breast biopsies: an institutional pathological-radiological correlation.

Authors:  Gustavo Moreno; Mariel Molina; Ruizhe Wu; Julie R Sullivan; Julie M Jorns
Journal:  Breast Cancer Res Treat       Date:  2021-05-27       Impact factor: 4.872

Review 4.  Evaluation of the Efficacy of Neoadjuvant Chemotherapy for Breast Cancer.

Authors:  Huan Wang; Xiaoyun Mao
Journal:  Drug Des Devel Ther       Date:  2020-06-18       Impact factor: 4.162

5.  Correlation of magnetic resonance imaging quantitative parameters and apparent diffusion coefficient value with pathological breast cancer.

Authors:  Zhe Wang; Guan-Ying Ren; Qian Yin; Qian Wang
Journal:  World J Clin Cases       Date:  2022-07-26       Impact factor: 1.534

6.  MRI Images-Based Evaluation of Efficacy of Neoadjuvant Chemotherapy for Breast Cancer and Its Effect on Depression and Immune Function of Patients.

Authors:  Ying Nie; Yingjuan He; Jianzhi Wang; Hongjun Zhang; Junpeng Su
Journal:  Contrast Media Mol Imaging       Date:  2022-09-05       Impact factor: 3.009

  6 in total

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