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Magnetic resonance imaging enhancement features before and after neoadjuvant chemotherapy in patients with breast cancer: a predictive value for responders.
DC Field | Value | Language |
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dc.contributor.author | Kang, DK | - |
dc.contributor.author | Kim, TH | - |
dc.contributor.author | Han, TS | - |
dc.contributor.author | Kim, KS | - |
dc.contributor.author | Yim, H | - |
dc.date.accessioned | 2014-05-30T05:52:59Z | - |
dc.date.available | 2014-05-30T05:52:59Z | - |
dc.date.issued | 2013 | - |
dc.identifier.issn | 0363-8715 | - |
dc.identifier.uri | http://repository.ajou.ac.kr/handle/201003/10293 | - |
dc.description.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. | - |
dc.language.iso | en | - |
dc.subject.MESH | Adult | - |
dc.subject.MESH | Aged | - |
dc.subject.MESH | Antineoplastic Combined Chemotherapy Protocols | - |
dc.subject.MESH | Breast Neoplasms | - |
dc.subject.MESH | Chemotherapy, Adjuvant | - |
dc.subject.MESH | Contrast Media | - |
dc.subject.MESH | Female | - |
dc.subject.MESH | Gadolinium DTPA | - |
dc.subject.MESH | Humans | - |
dc.subject.MESH | Image Enhancement | - |
dc.subject.MESH | Logistic Models | - |
dc.subject.MESH | Magnetic Resonance Imaging | - |
dc.subject.MESH | Middle Aged | - |
dc.subject.MESH | Neoadjuvant Therapy | - |
dc.subject.MESH | Predictive Value of Tests | - |
dc.subject.MESH | Retrospective Studies | - |
dc.subject.MESH | Statistics, Nonparametric | - |
dc.subject.MESH | Treatment Outcome | - |
dc.title | Magnetic resonance imaging enhancement features before and after neoadjuvant chemotherapy in patients with breast cancer: a predictive value for responders. | - |
dc.type | Article | - |
dc.identifier.pmid | 23674017 | - |
dc.identifier.url | http://meta.wkhealth.com/pt/pt-core/template-journal/lwwgateway/media/landingpage.htm?issn=0363-8715&volume=37&issue=3&spage=432 | - |
dc.contributor.affiliatedAuthor | 강, 두경 | - |
dc.contributor.affiliatedAuthor | 김, 태희 | - |
dc.contributor.affiliatedAuthor | 김, 구상 | - |
dc.contributor.affiliatedAuthor | 임, 현이 | - |
dc.type.local | Journal Papers | - |
dc.identifier.doi | 10.1097/RCT.0b013e31828386ae | - |
dc.citation.title | Journal of computer assisted tomography | - |
dc.citation.volume | 37 | - |
dc.citation.number | 3 | - |
dc.citation.date | 2013 | - |
dc.citation.startPage | 432 | - |
dc.citation.endPage | 439 | - |
dc.identifier.bibliographicCitation | Journal of computer assisted tomography, 37(3). : 432-439, 2013 | - |
dc.identifier.eissn | 1532-3145 | - |
dc.relation.journalid | J003638715 | - |
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