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

Authors
 Jee Hyun Ahn  ;  Jieon Go  ;  Suk Jun Lee  ;  Jee Ye Kim  ;  Hyung Seok Park  ;  Seung Il Kim  ;  Byeong-Woo Park  ;  Vivian Youngjean Park  ;  Jung Hyun Yoon  ;  Min Jung Kim  ;  Seho Park 
Citation
 KOREAN JOURNAL OF RADIOLOGY, Vol.24(5) : 384-394, 2023-05 
Journal Title
KOREAN JOURNAL OF RADIOLOGY
ISSN
 1229-6929 
Issue Date
2023-05
MeSH
Breast / diagnostic imaging ; Breast / pathology ; Breast Density ; Breast Neoplasms* / diagnostic imaging ; Breast Neoplasms* / drug therapy ; Breast Neoplasms* / pathology ; Female ; Humans ; Mammography ; Neoadjuvant Therapy / methods ; Retrospective Studies
Keywords
Biomarkers ; Breast density ; Breast neoplasm ; Mammography ; Neoadjuvant therapy ; Predictive value of tests
Abstract
Objective: 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.
Files in This Item:
T202303017.pdf Download
DOI
10.3348/kjr.2022.0629
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
Yonsei Authors
Go, Jieon(고지언)
Kim, Min Jung(김민정) ORCID logo https://orcid.org/0000-0003-4949-1237
Kim, Seung Il(김승일)
Kim, Jee Ye(김지예) ORCID logo https://orcid.org/0000-0003-3936-4410
Park, Byeong Woo(박병우) ORCID logo https://orcid.org/0000-0003-1353-2607
Park, Se Ho(박세호) ORCID logo https://orcid.org/0000-0001-8089-2755
Park, Vivian Youngjean(박영진) ORCID logo https://orcid.org/0000-0002-5135-4058
Park, Hyung Seok(박형석) ORCID logo https://orcid.org/0000-0001-5322-6036
Ahn, Jee Hyun(안지현)
Yoon, Jung Hyun(윤정현) ORCID logo https://orcid.org/0000-0002-2100-3513
Lee, Suk Jun(이석준)
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/195373
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