Evaluation of Tissue Stiffness Around Lesions by Sound Touch Shear Wave Elastography in Breast Malignancy Diagnosis

医学 恶性肿瘤 接收机工作特性 弹性成像 超声波 乳腺癌 逻辑回归 核医学 放射科 病理 癌症 内科学
作者
Yayun Cui,Nianan He,Xian-Jun Ye,Lei Hu,Li Xie,Wen Zhong,Chaoxue Zhang
出处
期刊:Ultrasound in Medicine and Biology [Elsevier BV]
卷期号:48 (8): 1672-1680 被引量:8
标识
DOI:10.1016/j.ultrasmedbio.2022.04.219
摘要

The aim of the study described here was to assess the evaluation of tissue stiffness around lesions by sound touch shear wave elastography (STE) in breast malignancy diagnosis. This was an institutional ethics committee-approved, single-center study. A total of 90 women with breast masses examined with conventional ultrasound and STE were eligible for enrollment from December 2020 to July 2021. The maximum and mean elastic values of masses, Emax and Emean, were determined. Shell function was used to measure the maximum and mean elastic values of tissues around masses in annular shells 0.5, 1.0, 1.5 and 2.0 mm wide, recorded as corresponding Emax-shell and Emean-shell. All parameters were analyzed and compared with histopathologic results. Receiver operating characteristic curves were constructed to assess diagnostic performance. Logistic regression analysis was conducted to determine the best diagnostic model. Collagen fiber content of tissues around breast lesions was evaluated using Masson staining and ImageJ software. Ninety women with breast masses were included in this study; 50 had benign (mean diameter 15.84 ± 4.39 mm) and 40 had malignant (mean diameter 17.40 ± 5.42 mm) masses. The diagnostic value of Emax-shell-2.0 was the highest (area under the curve = 0.930) with a sensitivity of 87.5% and specificity of 88%. According to stepwise logistic regression analysis, Emax-shell-2.0 and age were independent predictors of malignancy. Emax-shell-2.0 was also found to be highly correlated with the collagen fiber content of tissue in the malignant group (r = 0.877). Tissue stiffness around lesions measured by STE is a useful metric in identifying malignant breast masses by reflecting collagen fiber content, and Emax-shell-2.0 performs best.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
Flora完成签到,获得积分10
刚刚
科研通AI2S应助zzz采纳,获得10
1秒前
wang完成签到,获得积分10
1秒前
外向的南烟完成签到,获得积分10
1秒前
小彭陪小崔读个研完成签到 ,获得积分10
2秒前
仙女完成签到 ,获得积分10
3秒前
华西胖旭完成签到,获得积分10
4秒前
5秒前
科研通AI6.3应助liujunq采纳,获得10
6秒前
樊笼客完成签到,获得积分10
6秒前
zhuao完成签到,获得积分10
6秒前
YK完成签到,获得积分10
7秒前
8秒前
研友_Zrlk7L完成签到,获得积分10
9秒前
在水一方应助稻草人采纳,获得30
9秒前
大模型应助樊笼客采纳,获得10
10秒前
悉达多完成签到,获得积分10
10秒前
11秒前
ergatoid完成签到,获得积分10
11秒前
zzz发布了新的文献求助10
14秒前
14秒前
源源完成签到,获得积分10
15秒前
hya2044完成签到 ,获得积分10
15秒前
自觉石头完成签到,获得积分10
15秒前
16秒前
liuzhiliang完成签到,获得积分10
17秒前
北方知既白完成签到 ,获得积分10
17秒前
LArry完成签到,获得积分10
18秒前
金木zzz完成签到,获得积分10
19秒前
学海星辰发布了新的文献求助30
20秒前
寒霜扬名完成签到 ,获得积分10
20秒前
九九乘法表完成签到,获得积分10
21秒前
文献孙完成签到,获得积分10
21秒前
晨曦发布了新的文献求助10
21秒前
21秒前
phelps完成签到,获得积分10
22秒前
能干戎完成签到,获得积分10
22秒前
你眼里有星辰大海完成签到,获得积分10
23秒前
scscsd完成签到,获得积分10
23秒前
Ccccn完成签到,获得积分10
26秒前
高分求助中
Markov Chain Monte Carlo 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
Pediatric Dermoscopy Trichoscopy & Onychoscopy 1000
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
International Security Studies and Technology :Approaches, Assessments, and Frontiers 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7572612
求助须知:如何正确求助?哪些是违规求助? 9151884
关于积分的说明 19573353
捐赠科研通 7157042
什么是DOI,文献DOI怎么找? 3264091
关于科研通互助平台的介绍 2429517
邀请新用户注册赠送积分活动 2254370