Literature DB >> 21362364

Effectiveness of dynamic contrast-enhanced magnetic resonance imaging in evaluating clinical responses to neoadjuvant chemotherapy in breast cancer.

Yin-Hua Liu1, Jing-Ming Ye, Ling Xu, Qing-Yun Huang, Jian-Xin Zhao, Xue-Ning Duan, Nai-Shan Qin, Xiao-Ying Wang.   

Abstract

BACKGROUND: Use of neoadjuvant chemotherapy necessitates assessment of response to cytotoxic drugs. The aim of this research was to investigate the effectiveness of dynamic contrast-enhanced magnetic resonance imaging (MRI) for evaluating clinical responses to neoadjuvant chemotherapy in breast cancer patients.
METHODS: We examined patients receiving neoadjuvant chemotherapy for primary breast cancer between October 2007 and September 2008. Dynamic contrast-enhanced MRI was used to examine breast tumors prior to and after neoadjuvant chemotherapy. The MRI examination assessed tumors using Response Evaluation Criteria in Solid Tumors (RECIST). The Miller-Payne grading system was used as a histopathological examination to assess the effect of the treatment. We examined the relationship between the results of RECIST and histopathological criteria. In addition, we used time-signal intensity curves (MRI T-SI) to further evaluate the effects of neoadjuvant chemotherapy on tumor response.
RESULTS: MRI examination of patients completing four three-week anthracycline-taxanes chemotherapy treatment revealed that no patients had complete responses (CR), 58 patients had partial responses (PR), 29 patients had stable disease (SD), and four with progressive disease (PD). The effectiveness of neoadjuvant chemotherapy (CR + PR) was 63.7% (58/91). The postoperative histopathological evaluations revealed the following: seven G5 (pCR) cases (7.7%), 39 G4 cases (42.9%), 16 G3 cases (17.6%), 23 G2 cases (25.3%), and six G1 cases (6.6%). The effectiveness (G5 + G4 + G3) was 68.1% (62/91). MRI T-SI standards classified 53 responding cases, 29 stable cases, and nine progressing cases. These results indicated that the treatment was 58.2% effective (53/91) overall.
CONCLUSIONS: Dynamic contrast-enhanced MRI and histopathological standards were highly correlated. Importantly, MRI T-SI evaluation was found to be useful in assessing the clinical effectiveness of neoadjuvant chemotherapy.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 21362364

Source DB:  PubMed          Journal:  Chin Med J (Engl)        ISSN: 0366-6999            Impact factor:   2.628


  5 in total

1.  Prediction of radiosensitivity in primary central nervous system germ cell tumors using dynamic contrast-enhanced magnetic resonance imaging.

Authors:  Chenlu Feng; Peiyi Gao; Xiaoguang Qiu; Tianyi Qian; Yan Lin; Jian Zhou; Binbin Sui
Journal:  Chin J Cancer Res       Date:  2015-06       Impact factor: 5.087

2.  Multiparametric MRI-based radiomics analysis for prediction of breast cancers insensitive to neoadjuvant chemotherapy.

Authors:  Qianqian Xiong; Xuezhi Zhou; Zhenyu Liu; Chuqian Lei; Ciqiu Yang; Mei Yang; Liulu Zhang; Teng Zhu; Xiaosheng Zhuang; Changhong Liang; Zaiyi Liu; Jie Tian; Kun Wang
Journal:  Clin Transl Oncol       Date:  2019-04-11       Impact factor: 3.405

3.  Radiomic signatures derived from multiparametric MRI for the pretreatment prediction of response to neoadjuvant chemotherapy in breast cancer.

Authors:  Tiantian Bian; Zengjie Wu; Qing Lin; Haibo Wang; Yaqiong Ge; Shaofeng Duan; Guangming Fu; Chunxiao Cui; Xiaohui Su
Journal:  Br J Radiol       Date:  2020-09-02       Impact factor: 3.039

4.  The validity of MRI in evaluation of tumor response to neoadjuvant chemotherapy in locally advanced breast cancer.

Authors:  Mahboobeh Abedi; Donya Farrokh; Fatemeh Shandiz Homaei; Azadeh Joulaee; Robab Anbiaee; Behrooz Zandi; Masoumeh Gity; Hamid Reza Sayah; Mohammad Sadegh Abedi
Journal:  Iran J Cancer Prev       Date:  2013

5.  Magnetic resonance imaging features of breast cancer according to intrinsic subtypes: correlations with neoadjuvant chemotherapy effects.

Authors:  Hiroko Kawashima; Masafumi Inokuchi; Hiroyuki Furukawa; Hiroko Ikeda; Seiko Kitamura
Journal:  Springerplus       Date:  2014-05-09
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.