Cited 11 times in
Evaluation with 3.0-T MR imaging: predicting the pathological response of triple-negative breast cancer treated with anthracycline and taxane neoadjuvant chemotherapy
DC Field | Value | Language |
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dc.contributor.author | 박병우 | - |
dc.contributor.author | 박세호 | - |
dc.contributor.author | 김민정 | - |
dc.contributor.author | 김승일 | - |
dc.contributor.author | 김은경 | - |
dc.contributor.author | 문희정 | - |
dc.date.accessioned | 2016-02-04T11:39:41Z | - |
dc.date.available | 2016-02-04T11:39:41Z | - |
dc.date.issued | 2015 | - |
dc.identifier.issn | 0284-1851 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/140919 | - |
dc.description.abstract | BACKGROUND: Triple-negative breast cancer (TNBC) which expresses neither hormonal receptors nor HER-2 is associated with poor prognosis and shorter survival. Several studies have suggested that TNBC patients attaining pathological complete response (pCR) after neoadjuvant chemotherapy (NAC) show a longer survival than those without pCR. PURPOSE: To assess the accuracy of 3.0-T breast magnetic resonance imaging (MRI) in predicting pCR and to evaluate the clinicoradiologic factors affecting the diagnostic accuracy of 3.0-T breast MRI in TNBC patients treated with anthracycline and taxane (ACD). MATERIAL AND METHODS: This retrospective study was approved by the institutional review board; patient consent was not required. Between 2009 and 2012, 35 TNBC patients with 3.0-T breast MRI prior to (n = 26) or after (n = 35) NAC were included. MRI findings were reviewed according to pCR to chemotherapy. The diagnostic accuracy of 3.0-T breast MRI for predicting pCR and the clinicoradiological factors affecting MRI accuracy and response to NAC were analyzed. RESULTS: 3.0-T MRI following NAC with ACD accurately predicted pCR in 91.4% of TNBC patients. The residual tumor size between pathology and 3.0-T MRI in non-pCR cases showed a higher correlation in the Ki-67-positive TNBC group (r = 0.947) than in the Ki-67 negative group (r = 0.375) with statistical trends (P = 0.069). Pre-treatment MRI in the non-pCR group compared to the pCR group showed a larger tumor size (P = 0.030) and non-mass presentation (P = 0.015). CONCLUSION: 3.0-T MRI in TNBC patients following NAC with ACD showed a high accuracy for predicting pCR to NAC. Ki-67 can affect the diagnostic accuracy of 3.0-T MRI for pCR to NAC with ACD in TNBC patients. | - |
dc.description.statementOfResponsibility | open | - |
dc.format.extent | 1069~1077 | - |
dc.relation.isPartOf | ACTA RADIOLOGICA | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/2.0/kr/ | - |
dc.subject.MESH | Adult | - |
dc.subject.MESH | Aged | - |
dc.subject.MESH | Anthracyclines/administration & dosage* | - |
dc.subject.MESH | Antineoplastic Combined Chemotherapy Protocols/therapeutic use* | - |
dc.subject.MESH | Biomarkers, Tumor/analysis | - |
dc.subject.MESH | Contrast Media | - |
dc.subject.MESH | Cyclophosphamide/administration & dosage | - |
dc.subject.MESH | Female | - |
dc.subject.MESH | Gadolinium DTPA | - |
dc.subject.MESH | Humans | - |
dc.subject.MESH | Immunohistochemistry | - |
dc.subject.MESH | Magnetic Resonance Imaging/methods* | - |
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 | Taxoids/administration & dosage* | - |
dc.subject.MESH | Triple Negative Breast Neoplasms/drug therapy* | - |
dc.subject.MESH | Triple Negative Breast Neoplasms/pathology* | - |
dc.title | Evaluation with 3.0-T MR imaging: predicting the pathological response of triple-negative breast cancer treated with anthracycline and taxane neoadjuvant chemotherapy | - |
dc.type | Article | - |
dc.contributor.college | College of Medicine (의과대학) | - |
dc.contributor.department | Dept. of Surgery (외과학) | - |
dc.contributor.googleauthor | Min Jung Kim | - |
dc.contributor.googleauthor | Eun-Kyung Kim | - |
dc.contributor.googleauthor | Seho Park | - |
dc.contributor.googleauthor | Hee Jung Moon | - |
dc.contributor.googleauthor | Seung Kim Il | - |
dc.contributor.googleauthor | Byeong-Woo Park | - |
dc.identifier.doi | 10.1177/0284185114548507 | - |
dc.admin.author | false | - |
dc.admin.mapping | false | - |
dc.contributor.localId | A00473 | - |
dc.contributor.localId | A01475 | - |
dc.contributor.localId | A01524 | - |
dc.contributor.localId | A00658 | - |
dc.contributor.localId | A00801 | - |
dc.contributor.localId | A01397 | - |
dc.relation.journalcode | J00033 | - |
dc.identifier.eissn | 1600-0455 | - |
dc.identifier.pmid | 25228161 | - |
dc.identifier.url | http://acr.sagepub.com/content/56/9/1069.long | - |
dc.subject.keyword | Breast | - |
dc.subject.keyword | imaging sequences | - |
dc.subject.keyword | magnetic resonance imaging (MRI) | - |
dc.subject.keyword | neoplasms – primary staging | - |
dc.contributor.alternativeName | Park, Byeong Woo | - |
dc.contributor.alternativeName | Park, Se Ho | - |
dc.contributor.alternativeName | Kim, Min Jung | - |
dc.contributor.alternativeName | Kim, Seung Il | - |
dc.contributor.alternativeName | Kim, Eun Kyung | - |
dc.contributor.alternativeName | Moon, Heui Jeong | - |
dc.contributor.affiliatedAuthor | Kim, Min Jung | - |
dc.contributor.affiliatedAuthor | Park, Byeong Woo | - |
dc.contributor.affiliatedAuthor | Park, Se Ho | - |
dc.contributor.affiliatedAuthor | Kim, Seung Il | - |
dc.contributor.affiliatedAuthor | Kim, Eun-Kyung | - |
dc.contributor.affiliatedAuthor | Moon, Heui Jeong | - |
dc.rights.accessRights | not free | - |
dc.citation.volume | 56 | - |
dc.citation.number | 9 | - |
dc.citation.startPage | 1069 | - |
dc.citation.endPage | 1077 | - |
dc.identifier.bibliographicCitation | ACTA RADIOLOGICA, Vol.56(9) : 1069-1077, 2015 | - |
dc.identifier.rimsid | 30393 | - |
dc.type.rims | ART | - |
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