Shear Wave Elastography of Invasive Ductal Carcinoma: Correlations between Shear Wave Velocity and Histological Prognostic Factors

Xiao-qing Hu , Li Peng , Max Wintermark , Jafi Alyssa Lipson , Yan-rong Zhang , Yuan Gao

Current Medical Science ›› 2021, Vol. 41 ›› Issue (1) : 173 -179.

PDF
Current Medical Science ›› 2021, Vol. 41 ›› Issue (1) : 173 -179. DOI: 10.1007/s11596-021-2333-2
Article

Shear Wave Elastography of Invasive Ductal Carcinoma: Correlations between Shear Wave Velocity and Histological Prognostic Factors

Author information +
History +
PDF

Abstract

The correlations between shear wave velocity (SWV) calculated from virtual touch tissue imaging quantification (VTIQ) technique and histological prognostic factors of invasive ductal carcinoma was investigated. A total of 76 breast tumors histologically confirmed as invasive ductal carcinomas were included in this study. SWV values were measured by VTIQ for each lesion preoperatively or prior to breast biopsy. The maximum values were recorded for statistical analysis. Medical records were reviewed to determine tumor size, histological grade, lymph node status and immunohistochemical results. Tumor subtypes were categorized as luminal A, luminal B, human epidermal growth factor receptor 2 (HER2) positive and triple negative. The correlations between SWV and histological prognostic factors were analyzed. It was found that tumor size showed positive association with SWV (r=0.465, P<0.001). Larger tumors had significantly higher SWV than smaller ones (P=0.001). Histological grade 1 tumors had significantly lower SWV values than those with higher histological grade (P=0.015). The Ki67 expression, tumor subtypes and lymph node status showed no statistically significant correlations with SWV, although triple negative tumors and lymph node-positive tumors showed higher SWV values. It was concluded that tumor size was significantly associated with SWV. Higher histological grade was associated with increased SWV. There was no statistically significant correlations between SWV and other histological prognostic factors.

Keywords

shear wave elastography / virtual touch tissue imaging quantification / shear wave velocity / invasive ductal carcinoma / histological prognostic factors

Cite this article

Download citation ▾
Xiao-qing Hu, Li Peng, Max Wintermark, Jafi Alyssa Lipson, Yan-rong Zhang, Yuan Gao. Shear Wave Elastography of Invasive Ductal Carcinoma: Correlations between Shear Wave Velocity and Histological Prognostic Factors. Current Medical Science, 2021, 41(1): 173-179 DOI:10.1007/s11596-021-2333-2

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

TorreLA, IslamiF, SiegelRL, et al.. Global Cancer in Women: Burden and Trends. Cancer Epidemiol Biomarkers Prev, 2017, 26(4): 444-457

[2]

CosgroveDO, BergWA, DoréCJ, et al.. Shear wave elastography for breast masses is highly reproducible. Eur Radiol, 2012, 22(5): 1023-1032

[3]

ChangJM, MoonWK, ChoN, et al.. Clinical application of shear wave elastography (SWE) in the diagnosis of benign and malignant breast diseases. Breast Cancer Res Treat, 2011, 129(1): 89-97

[4]

BergWA, CosgroveDO, DoreCJ, et al.. Shear-wave elastography improves the specificity of breast US: the BE1 multinational study of 939 masses. Radiology, 2012, 262(2): 435-449

[5]

IanculescuV, CiolovanLM, DunantA, et al.. Added value of Virtual Touch IQ shear wave elastography in the ultrasound assessment of breast lesions. Eur J Radiol, 2014, 83(5): 773-777

[6]

ChoiWJ, KimHH, ChaJH, et al.. Predicting prognostic factors of breast cancer using shear wave elastography. Ultrasound Med Biol, 2013, 40(2): 269-274

[7]

EhemanCR, ShawKM, RyersonAB, et al.. The changing incidence of in situ and invasive ductal and lobular breast carcinomas: United States, 1999–2004. Cancer Epidemiol Biomarkers Prev, 2009, 18(6): 1763-1769

[8]

GoldhirschA, WinerEP, CoatesAS, et al.. Personalizing the treatment of women with early breast cancer: highlights of the St Gallen International Expert Consensus on the Primary Therapy of Early Breast Cancer 2013. Ann Oncol, 2013, 24(9): 2206-2223

[9]

EvansA, WhelehanP, ThomsonK, et al.. Invasive breast cancer: relationship between shear-wave elastographic findings and histologic prognostic factors. Radiology, 2012, 263(3): 673-677

[10]

YoukJH, GweonHM, SonEJ, et al.. Shear-wave elastography of invasive breast cancer: correlation between quantitative mean elasticity value and immunohistochemical profile. Breast Cancer Res Treat, 2013, 138(1): 119-126

[11]

ChangJM, ParkIA, LeeSH, et al.. Stiffness of tumors measured by shear-wave elastography correlated with subtypes of breast cancer. Eur Radiol, 2013, 23(9): 2450-2458

[12]

ZhuYC, ZhangY, DengSH, et al.. Correlation between histopathological grading and shear wave elastography in evaluating invasive carcinoma of no special type. Exp Ther Med, 2018, 16(6): 4700-4706

[13]

LambPM, PerryNM, VinnicombeSJ, et al.. Correlation between ultrasound characteristics, mammographic findings and histological grade in patients with invasive ductal carcinoma of the breast. Clin Radiol, 2000, 55(1): 40-44

[14]

GanauS, AndreuFJ, EscribanoF, et al.. Shear-wave elastography and immunohistochemical profiles in invasive breast cancer: evaluation of maximum and mean elasticity values. Eur J Radiol, 2015, 84(4): 617-622

[15]

Chamming’sF, Latorre-OssaH, Le Frère-BeldaMA, et al.. Shear wave elastography of tumor growth in a human breast cancer model with pathological correlation. Eur Radiol, 2013, 23(8): 2079-2086

[16]

EvansA, ArmstrongS, WhelehanP, et al.. Can shear-wave elastography predict response to neoadjuvant chemotherapy in women with invasive breast cancer?. Br J Cancer, 2013, 109(11): 2798-2802

[17]

ButcherDT, AllistonT, WeaverVM. A tense situation: forcing tumor progression. Nat Rev Cancer, 2009, 9(2): 108-122

[18]

WeiSC, FattetL, TsaiJH, et al.. Matrix stiffness drives Epithelial-Mesenchymal Transition and tumor metastasis through a TWIST1-G3BP2 mechanotransduction pathway. Nat Cell Biol, 2015, 17(5): 678-688

[19]

FennerJ, StacerAC, WinterrothF, et al.. Macroscopic Stiffness of Breast Tumors Predicts Metastasis. Sci Rep, 2014, 4(1): 1-8

AI Summary AI Mindmap
PDF

93

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/