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

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...

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Autores principales: Ahn, Jee Hyun, Go, Jieon, Lee, Suk Jun, Kim, Jee Ye, Park, Hyung Seok, Kim, Seung Il, Park, Byeong-Woo, Park, Vivian Youngjean, Yoon, Jung Hyun, Kim, Min Jung, Park, Seho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Society of Radiology 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10157320/
https://www.ncbi.nlm.nih.gov/pubmed/37133209
http://dx.doi.org/10.3348/kjr.2022.0629
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author Ahn, Jee Hyun
Go, Jieon
Lee, Suk Jun
Kim, Jee Ye
Park, Hyung Seok
Kim, Seung Il
Park, Byeong-Woo
Park, Vivian Youngjean
Yoon, Jung Hyun
Kim, Min Jung
Park, Seho
author_facet Ahn, Jee Hyun
Go, Jieon
Lee, Suk Jun
Kim, Jee Ye
Park, Hyung Seok
Kim, Seung Il
Park, Byeong-Woo
Park, Vivian Youngjean
Yoon, Jung Hyun
Kim, Min Jung
Park, Seho
author_sort Ahn, Jee Hyun
collection PubMed
description 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 × 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.
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spelling pubmed-101573202023-05-05 Changes in Automated Mammographic Breast Density Can Predict Pathological Response After Neoadjuvant Chemotherapy in Breast Cancer Ahn, Jee Hyun Go, Jieon Lee, Suk Jun Kim, Jee Ye Park, Hyung Seok Kim, Seung Il Park, Byeong-Woo Park, Vivian Youngjean Yoon, Jung Hyun Kim, Min Jung Park, Seho Korean J Radiol Breast Imaging 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 × 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. The Korean Society of Radiology 2023-05 2023-04-19 /pmc/articles/PMC10157320/ /pubmed/37133209 http://dx.doi.org/10.3348/kjr.2022.0629 Text en Copyright © 2023 The Korean Society of Radiology https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0 (https://creativecommons.org/licenses/by-nc/4.0/) ) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Breast Imaging
Ahn, Jee Hyun
Go, Jieon
Lee, Suk Jun
Kim, Jee Ye
Park, Hyung Seok
Kim, Seung Il
Park, Byeong-Woo
Park, Vivian Youngjean
Yoon, Jung Hyun
Kim, Min Jung
Park, Seho
Changes in Automated Mammographic Breast Density Can Predict Pathological Response After Neoadjuvant Chemotherapy in Breast Cancer
title Changes in Automated Mammographic Breast Density Can Predict Pathological Response After Neoadjuvant Chemotherapy in Breast Cancer
title_full Changes in Automated Mammographic Breast Density Can Predict Pathological Response After Neoadjuvant Chemotherapy in Breast Cancer
title_fullStr Changes in Automated Mammographic Breast Density Can Predict Pathological Response After Neoadjuvant Chemotherapy in Breast Cancer
title_full_unstemmed Changes in Automated Mammographic Breast Density Can Predict Pathological Response After Neoadjuvant Chemotherapy in Breast Cancer
title_short Changes in Automated Mammographic Breast Density Can Predict Pathological Response After Neoadjuvant Chemotherapy in Breast Cancer
title_sort changes in automated mammographic breast density can predict pathological response after neoadjuvant chemotherapy in breast cancer
topic Breast Imaging
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10157320/
https://www.ncbi.nlm.nih.gov/pubmed/37133209
http://dx.doi.org/10.3348/kjr.2022.0629
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