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Changes in Automated Mammographic Breast Density Can Predict Pathological Response After Neoadjuvant Chemotherapy in Breast Cancer

DC Field Value Language
dc.contributor.author김민정-
dc.contributor.author김승일-
dc.contributor.author김지예-
dc.contributor.author박병우-
dc.contributor.author박세호-
dc.contributor.author박영진-
dc.contributor.author박형석-
dc.contributor.author안지현-
dc.contributor.author윤정현-
dc.contributor.author고지언-
dc.contributor.author이석준-
dc.date.accessioned2023-07-12T02:41:12Z-
dc.date.available2023-07-12T02:41:12Z-
dc.date.issued2023-05-
dc.identifier.issn1229-6929-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/195373-
dc.description.abstractObjective: Mammographic density is an independent risk factor for breast cancer that can change after neoadjuvant chemotherapy (NCT). This study aimed to evaluate percent changes in volumetric breast density (ΔVbd%) before and after NCT measured automatically and determine its value as a predictive marker of pathological response to NCT. Materials and Methods: A total of 357 patients with breast cancer treated between January 2014 and December 2016 were included. An automated volumetric breast density (Vbd) measurement method was used to calculate Vbd on mammography before and after NCT. Patients were divided into three groups according to ΔVbd%, calculated as follows: Vbd (post-NCT − pre-NCT)/pre-NCT Vbd x 100 (%). The stable, decreased, and increased groups were defined as -20% ≤ ΔVbd% ≤ 20%, ΔVbd% < -20%, and ΔVbd% > 20%, respectively. Pathological complete response (pCR) was considered to be achieved after NCT if there was no evidence of invasive carcinoma in the breast or metastatic tumors in the axillary and regional lymph nodes on surgical pathology. The association between ΔVbd% grouping and pCR was analyzed using univariable and multivariable logistic regression analyses. Results: The interval between the pre-NCT and post-NCT mammograms ranged from 79 to 250 days (median, 170 days). In the multivariable analysis, ΔVbd% grouping (odds ratio for pCR of 0.420 [95% confidence interval, 0.195–0.905; P = 0.027] for the decreased group compared with the stable group), N stage at diagnosis, histologic grade, and breast cancer subtype were significantly associated with pCR. This tendency was more evident in the luminal B-like and triple-negative subtypes. Conclusion: ΔVbd% was associated with pCR in breast cancer after NCT, with the decreased group showing a lower rate of pCR than the stable group. Automated measurement of ΔVbd% may help predict the NCT response and prognosis in breast cancer.-
dc.description.statementOfResponsibilityopen-
dc.formatapplication/pdf-
dc.languageEnglish-
dc.publisherKorean Society of Radiology-
dc.relation.isPartOfKOREAN JOURNAL OF RADIOLOGY-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.subject.MESHBreast / diagnostic imaging-
dc.subject.MESHBreast / pathology-
dc.subject.MESHBreast Density-
dc.subject.MESHBreast Neoplasms* / diagnostic imaging-
dc.subject.MESHBreast Neoplasms* / drug therapy-
dc.subject.MESHBreast Neoplasms* / pathology-
dc.subject.MESHFemale-
dc.subject.MESHHumans-
dc.subject.MESHMammography-
dc.subject.MESHNeoadjuvant Therapy / methods-
dc.subject.MESHRetrospective Studies-
dc.titleChanges in Automated Mammographic Breast Density Can Predict Pathological Response After Neoadjuvant Chemotherapy in Breast Cancer-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Radiology (영상의학교실)-
dc.contributor.googleauthorJee Hyun Ahn-
dc.contributor.googleauthorJieon Go-
dc.contributor.googleauthorSuk Jun Lee-
dc.contributor.googleauthorJee Ye Kim-
dc.contributor.googleauthorHyung Seok Park-
dc.contributor.googleauthorSeung Il Kim-
dc.contributor.googleauthorByeong-Woo Park-
dc.contributor.googleauthorVivian Youngjean Park-
dc.contributor.googleauthorJung Hyun Yoon-
dc.contributor.googleauthorMin Jung Kim-
dc.contributor.googleauthorSeho Park-
dc.identifier.doi10.3348/kjr.2022.0629-
dc.contributor.localIdA00473-
dc.contributor.localIdA00658-
dc.contributor.localIdA00984-
dc.contributor.localIdA01475-
dc.contributor.localIdA01524-
dc.contributor.localIdA01572-
dc.contributor.localIdA01753-
dc.contributor.localIdA06150-
dc.contributor.localIdA02595-
dc.relation.journalcodeJ02884-
dc.identifier.eissn2005-8330-
dc.identifier.pmid37133209-
dc.subject.keywordBiomarkers-
dc.subject.keywordBreast density-
dc.subject.keywordBreast neoplasm-
dc.subject.keywordMammography-
dc.subject.keywordNeoadjuvant therapy-
dc.subject.keywordPredictive value of tests-
dc.contributor.alternativeNameKim, Min Jung-
dc.contributor.affiliatedAuthor김민정-
dc.contributor.affiliatedAuthor김승일-
dc.contributor.affiliatedAuthor김지예-
dc.contributor.affiliatedAuthor박병우-
dc.contributor.affiliatedAuthor박세호-
dc.contributor.affiliatedAuthor박영진-
dc.contributor.affiliatedAuthor박형석-
dc.contributor.affiliatedAuthor안지현-
dc.contributor.affiliatedAuthor윤정현-
dc.citation.volume24-
dc.citation.number5-
dc.citation.startPage384-
dc.citation.endPage394-
dc.identifier.bibliographicCitationKOREAN JOURNAL OF RADIOLOGY, Vol.24(5) : 384-394, 2023-05-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Surgery (외과학교실) > 1. Journal Papers

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