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Role of diffusion-weighted MRI: predicting axillary lymph node metastases in breast cancer

DC Field Value Language
dc.contributor.author권혜미-
dc.contributor.author김은경-
dc.contributor.author김정아-
dc.contributor.author손은주-
dc.contributor.author유영훈-
dc.contributor.author육지현-
dc.contributor.author정진-
dc.date.accessioned2015-12-28T11:11:06Z-
dc.date.available2015-12-28T11:11:06Z-
dc.date.issued2014-
dc.identifier.issn0284-1851-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/138879-
dc.description.abstractBACKGROUND: Ultrasound (US) is probably the standard imaging procedure in most centers, and US-guided fine needle aspiration can be added if suspicious lymph nodes are found. However, US-guided fine needle aspiration is an invasive method to diagnose a metastasis and has showed relatively low sensitivity. In general, diffusion-weighted (DW) magnetic resonance imaging (MRI) has become an emerging technique for discriminating benign from malignant breast lesions in a short imaging acquisition time. PURPOSE: To evaluate the potential for using DW MRI with an apparent diffusion coefficient (ADC) value to predict axillary lymph node metastases in patients with invasive breast cancer. MATERIAL AND METHODS: This study enrolled 110 axillary lymph nodes from 110 consecutive women who were diagnosed with invasive breast cancer for preoperative breast MRI and US. The largest enhancing ipsilateral axillary lymph nodes were included in this study, and benign and metastatic axillary lymph nodes were compared according to the pathologic reports. The cut-off ADC value to differentiate between benign and metastatic axillary lymph nodes was evaluated with receiver-operating characteristic curve analysis. Diagnostic performance of ultrasound and DW MRI was calculated for enhancing lymph node in dynamic contrast-enhanced MRI. RESULTS: Nodal metastases were documented in 68 (62%) axillary lymph nodes. The mean size of metastatic axillary lymph nodes was larger than that of benign axillary lymph nodes (15.5 mm vs. 10.9 mm, P < 0.001). The mean ADC value (0.69 × 10(-3 )mm(2)/s) of the metastases was significantly lower than that of the benign axillary lymph nodes (1.04 × 10(-3 )mm(2)/s) (P < 0.001). The ADC value cut-off between metastatic and benign axillary lymph nodes was 0.90 × 10(-3 )mm(2)/s. Using ADC cut-off, sensitivity, specificity, and accuracy of DW MRI were 100%, 83.3%, and 93.6%, respectively. The sensitivity, specificity, and accuracy of US showed 94.1%, 54.8%, and 79.1%, respectively. CONCLUSION: DW MRI of axillary lymph nodes can provide reliable information for the differentiation of benign from metastatic axillary lymph nodes in invasive breast cancer patients.-
dc.description.statementOfResponsibilityopen-
dc.format.extent909~916-
dc.relation.isPartOfACTA RADIOLOGICA-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/2.0/kr/-
dc.subject.MESHAdult-
dc.subject.MESHAged-
dc.subject.MESHAged, 80 and over-
dc.subject.MESHAxilla-
dc.subject.MESHBreast Neoplasms/diagnosis*-
dc.subject.MESHBreast Neoplasms/diagnostic imaging-
dc.subject.MESHCarcinoma, Ductal, Breast/diagnosis*-
dc.subject.MESHCarcinoma, Ductal, Breast/diagnostic imaging-
dc.subject.MESHContrast Media-
dc.subject.MESHDiffusion Magnetic Resonance Imaging/methods*-
dc.subject.MESHFemale-
dc.subject.MESHGadolinium DTPA-
dc.subject.MESHHumans-
dc.subject.MESHImage Enhancement/methods-
dc.subject.MESHImaging, Three-Dimensional/methods-
dc.subject.MESHLymph Nodes/pathology*-
dc.subject.MESHLymphatic Metastasis/pathology-
dc.subject.MESHMiddle Aged-
dc.subject.MESHObserver Variation-
dc.subject.MESHROC Curve-
dc.subject.MESHReproducibility of Results-
dc.subject.MESHRetrospective Studies-
dc.subject.MESHSensitivity and Specificity-
dc.subject.MESHUltrasonography, Mammary/methods-
dc.titleRole of diffusion-weighted MRI: predicting axillary lymph node metastases in breast cancer-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Radiology (영상의학)-
dc.contributor.googleauthorJin Chung-
dc.contributor.googleauthorJi Hyun Youk-
dc.contributor.googleauthorJeong-Ah Kim-
dc.contributor.googleauthorHye Mi Gweon-
dc.contributor.googleauthorEun-Kyung Kim-
dc.contributor.googleauthorYoung Hoon Ryu-
dc.contributor.googleauthorEun Ju Son-
dc.identifier.doi10.1177/0284185113509094-
dc.admin.authorfalse-
dc.admin.mappingfalse-
dc.contributor.localIdA00265-
dc.contributor.localIdA00801-
dc.contributor.localIdA00888-
dc.contributor.localIdA01988-
dc.contributor.localIdA02485-
dc.contributor.localIdA02537-
dc.contributor.localIdA03740-
dc.relation.journalcodeJ00033-
dc.identifier.eissn1600-0455-
dc.identifier.pmid24234236-
dc.identifier.urlhttp://acr.sagepub.com/content/55/8/909.long-
dc.subject.keywordBreast cancer-
dc.subject.keywordapparent diffusion coefficient (ADC)-
dc.subject.keywordaxillary lymph node-
dc.subject.keyworddiffusion-
dc.subject.keywordmagnetic resonance imaging (MRI)-
dc.subject.keywordultrasound (US)-
dc.contributor.alternativeNameGweon, Hye Mi-
dc.contributor.alternativeNameKim, Eun Kyung-
dc.contributor.alternativeNameKim, Jeong Ah-
dc.contributor.alternativeNameSon, Eun Ju-
dc.contributor.alternativeNameRyu, Young Hoon-
dc.contributor.alternativeNameYouk, Ji Hyun-
dc.contributor.alternativeNameChung, Jin-
dc.contributor.affiliatedAuthorGweon, Hye Mi-
dc.contributor.affiliatedAuthorKim, Eun-Kyung-
dc.contributor.affiliatedAuthorKim, Jeong Ah-
dc.contributor.affiliatedAuthorSon, Eun Ju-
dc.contributor.affiliatedAuthorRyu, Young Hoon-
dc.contributor.affiliatedAuthorYouk, Ji Hyun-
dc.contributor.affiliatedAuthorChung, Jin-
dc.rights.accessRightsfree-
dc.citation.volume55-
dc.citation.number8-
dc.citation.startPage909-
dc.citation.endPage916-
dc.identifier.bibliographicCitationACTA RADIOLOGICA, Vol.55(8) : 909-916, 2014-
dc.identifier.rimsid54988-
dc.type.rimsART-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Nuclear Medicine (핵의학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers

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