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

Copyright © 2023 The Korean Society of Radiology..

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.

Medienart:

E-Artikel

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

Zur Gesamtaufnahme - volume:24

Enthalten in:

Korean journal of radiology - 24(2023), 5 vom: 17. Mai, Seite 384-394

Sprache:

Englisch

Beteiligte Personen:

Ahn, Jee Hyun [VerfasserIn]
Go, Jieon [VerfasserIn]
Lee, Suk Jun [VerfasserIn]
Kim, Jee Ye [VerfasserIn]
Park, Hyung Seok [VerfasserIn]
Kim, Seung Il [VerfasserIn]
Park, Byeong-Woo [VerfasserIn]
Park, Vivian Youngjean [VerfasserIn]
Yoon, Jung Hyun [VerfasserIn]
Kim, Min Jung [VerfasserIn]
Park, Seho [VerfasserIn]

Links:

Volltext

Themen:

Biomarkers
Breast density
Breast neoplasm
Journal Article
Mammography
Neoadjuvant therapy
Predictive value of tests
Research Support, Non-U.S. Gov't

Anmerkungen:

Date Completed 04.05.2023

Date Revised 10.05.2023

published: Print

Citation Status MEDLINE

doi:

10.3348/kjr.2022.0629

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM356365093