Cited 0 times in Scipus Cited Count

Magnetic resonance imaging enhancement features before and after neoadjuvant chemotherapy in patients with breast cancer: a predictive value for responders.

Authors
Kang, DK  | Kim, TH  | Han, TS | Kim, KS  | Yim, H
Citation
Journal of computer assisted tomography, 37(3). : 432-439, 2013
Journal Title
Journal of computer assisted tomography
ISSN
0363-87151532-3145
Abstract
PURPOSE: This study examined the ability of magnetic resonance imaging (MRI) enhancement features to predict the response to neoadjuvant chemotherapy (NAC) in patients with breast cancer.



METHODS: This retrospective study included 107 patients with breast cancer. All patients underwent a baseline breast MRI before NAC and follow-up MRI a mean of 3.7 months later. Breast MRI scans were evaluated using the Breast Imaging Reporting and Data System MRI lexicon. In addition, whole-breast vascularity (WBV) in the cancer-bearing breast was graded according to increased vessel number in comparison with the contralateral breast. Histopathologic tumor regression was graded semiquantitatively based on the Miller-Payne grading system. The ability of each MRI feature to predict the response was evaluated using a logistic regression analysis. Correlations between changes in MRI features and response were also evaluated using the Spearman rank correlation test.



RESULTS: There were 73 responders (68%), including 59 partial and 14 complete responders. No significant difference in baseline MRI features was found between the responders and nonresponders, except for tumor size (P = 0.044). No dynamic enhancement feature on baseline MRI was useful for the early prediction of a response. In addition, an increased WBV did not predict a response, and the WBV change on the follow-up MRI was not correlated with the response. However, the change in the initial enhancement pattern (P = 0.007) and kinetic curve type (P = 0.003) were significantly correlated with response.



CONCLUSIONS: No baseline MRI feature described using the Breast Imaging Reporting and Data System MRI lexicon was useful for early prediction of the response to NAC.
MeSH

DOI
10.1097/RCT.0b013e31828386ae
PMID
23674017
Appears in Collections:
Journal Papers > School of Medicine / Graduate School of Medicine > Radiology
Journal Papers > School of Medicine / Graduate School of Medicine > Surgery
Journal Papers > School of Medicine / Graduate School of Medicine > Pathology
Ajou Authors
강, 두경  |  김, 구상  |  김, 태희  |  임, 현이
Full Text Link
Files in This Item:
There are no files associated with this item.
Export

qrcode

해당 아이템을 이메일로 공유하기 원하시면 인증을 거치시기 바랍니다.

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse