Usefulness of preoperative breast magnetic resonance imaging with a dedicated axillary sequence for the detection of axillary lymph node metastasis in patients with early ductal breast cancer
DC Field | Value | Language |
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dc.contributor.author | Ahn, H.S. | - |
dc.contributor.author | Jang, M. | - |
dc.contributor.author | Kim, S.M. | - |
dc.contributor.author | La Yun, B. | - |
dc.contributor.author | Lee, S.H. | - |
dc.date.accessioned | 2021-06-18T07:21:12Z | - |
dc.date.available | 2021-06-18T07:21:12Z | - |
dc.date.issued | 2019-12 | - |
dc.identifier.issn | 0033-8362 | - |
dc.identifier.issn | 1826-6983 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/44567 | - |
dc.description.abstract | Objective: Axillary staging of primary breast cancer is important; however, axillary staging using advanced magnetic resonance imaging (MRI) techniques is very difficult to use. Therefore, we want to evaluate the diagnostic performance of preoperative MRI with a dedicated axillary sequence for axillary lymph node (ALN) metastasis in patients with early ductal breast cancer and determine potential predictors of axillary nodal positivity. Materials and methods: We retrospectively reviewed the MRI findings for 74 consecutive patients diagnosed with invasive breast cancer. The diagnostic performances of axial images alone and axial + reconstructed coronal images for the detection of ALN metastasis were evaluated. The clinicopathological and MRI features of the primary breast cancer lesions were determined. Results: The sensitivity (52.9% vs. 47.1%), specificity (89.5% vs. 71.9%), positive predictive value (60% vs. 33.3%), and negative predictive value (86.4% vs. 82%) for the preoperative detection of ALN metastasis were higher for axial + coronal images than for axial images. In addition, the area under the receiver operating characteristic curve value was higher for axial + coronal images than for axial images (0.595 vs. 0.712, p = 0.043). Peritumoral high signal intensity on T2-weighted images (p = 0.015) of the primary tumor was significantly associated with ALN metastasis. Conclusion: Our findings suggest that preoperative axial + reconstructed coronal MR images exhibit good diagnostic performance for ALN metastasis in patients with early ductal breast cancer. In addition, peritumoral high signal intensity on T2-weighted images of the primary tumor can be used as a predictor of ALN metastasis in these patients. © 2019, Italian Society of Medical Radiology. | - |
dc.format.extent | 9 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | Springer-Verlag Italia s.r.l. | - |
dc.title | Usefulness of preoperative breast magnetic resonance imaging with a dedicated axillary sequence for the detection of axillary lymph node metastasis in patients with early ductal breast cancer | - |
dc.type | Article | - |
dc.identifier.doi | 10.1007/s11547-019-01072-2 | - |
dc.identifier.bibliographicCitation | Radiologia Medica, v.124, no.12, pp 1220 - 1228 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.wosid | 000502441500004 | - |
dc.identifier.scopusid | 2-s2.0-85070836205 | - |
dc.citation.endPage | 1228 | - |
dc.citation.number | 12 | - |
dc.citation.startPage | 1220 | - |
dc.citation.title | Radiologia Medica | - |
dc.citation.volume | 124 | - |
dc.type.docType | Article | - |
dc.publisher.location | 미국 | - |
dc.subject.keywordAuthor | Axilla | - |
dc.subject.keywordAuthor | Breast cancer | - |
dc.subject.keywordAuthor | Lymph node | - |
dc.subject.keywordAuthor | Magnetic resonance imaging | - |
dc.subject.keywordAuthor | Metastasis | - |
dc.subject.keywordPlus | FINE-NEEDLE-ASPIRATION | - |
dc.subject.keywordPlus | PREPECTORAL EDEMA | - |
dc.subject.keywordPlus | MR-MAMMOGRAPHY | - |
dc.subject.keywordPlus | SENTINEL NODE | - |
dc.subject.keywordPlus | ULTRASOUND | - |
dc.subject.keywordPlus | WOMEN | - |
dc.subject.keywordPlus | CARCINOMA | - |
dc.subject.keywordPlus | BIOPSY | - |
dc.subject.keywordPlus | TRIAL | - |
dc.subject.keywordPlus | ASSOCIATION | - |
dc.relation.journalResearchArea | Radiology, Nuclear Medicine & Medical Imaging | - |
dc.relation.journalWebOfScienceCategory | Radiology, Nuclear Medicine & Medical Imaging | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
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