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Correlation of shear-wave elastography parameters with the molecular subtype and axillary lymph node status in breast cancer

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Abstract
Purpose: To examine correlations between shear-wave elastography (SWE) parameters with molecular subtype and axillary lymph node (LN) status of breast cancer.

Methods: We retrospectively analyzed 545 consecutive women (mean age, 52.7 ± 10.7 years; range, 26-83) with breast cancer who underwent preoperative breast ultrasound with SWE between December 2019 and January 2021. SWE parameters (Emax, Emean, and Eratio) and the histopathologic information from surgical specimens including histologic type, histologic grade, size of invasive cancer, hormone receptor and HER2 status, Ki-67 proliferation index, and axillary LN status were analyzed. The relationships between SWE parameters and histopathologic findings were analyzed using an independent sample t-test, one-way ANOVA test with Tukey's post hoc test, and logistic regression analyses.

Results: Higher stiffness values of SWE were associated with larger lesion size (>20 mm) on ultrasound, high histologic grade, larger invasive cancer size (>20 mm), high Ki-67, and axillary LN metastasis. Emax and Emean were the lowest in the luminal A-like subtype, and all three parameters were the highest in the triple-negative subtype. Lower value of Emax was independently associated with the luminal A-like subtype (P = 0.04). Higher value of Emean was independently associated with axillary LN metastasis for tumors ≤ 20 mm (P = 0.03).

Conclusion: Increases in the tumor stiffness values on SWE were significantly associated with aggressive histopathologic features of breast cancer. Lower stiffness values were associated with the luminal A-like subtype, and tumors with higher stiffness values were associated with axillary LN metastasis in small breast cancers.
Author(s)
Hee Jeong KimHak Hee KimWoo Jung ChoiEun Young ChaeHee Jung ShinJoo Hee Cha
Issued Date
2023
Type
Article
Keyword
Breast cancerLymph node metastasisMolecular subtypeShear-wave elastography
DOI
10.1016/j.clinimag.2023.06.006
URI
https://oak.ulsan.ac.kr/handle/2021.oak/16793
Publisher
CLINICAL IMAGING
Language
영어
ISSN
0899-7071
Citation Volume
101
Citation Number
09
Citation Start Page
190
Citation End Page
199
Appears in Collections:
Medicine > Nursing
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