The kinetic quantitative characteristics of non-mass breast lesions with contrast-enhanced ultrasound: a prospective study

医学 超声造影 超声波 放射科 接收机工作特性 前瞻性队列研究 双雷达 导管癌 诊断准确性 灰度 预测值 乳腺摄影术 核医学 乳腺癌 病理 癌症 内科学 像素 计算机科学 计算机视觉
作者
Yingjun Cai,Yanzhi Du,Li Zhao,Wenjie Hu,Yun Bai,An Chen,Lianfang Du,Fan Li
出处
期刊:British Journal of Radiology [Wiley]
标识
DOI:10.1259/bjr.20221002
摘要

To characterize non-mass breast lesions (NML) quantitatively by contrast-enhanced ultrasound (CEUS) and to evaluate its additional diagnostic value based on the BI-RADS categories.A prospective study was performed among consecutive patients with NMLs. All lesions were examined by grayscale ultrasound and CEUS and diagnosed on pathology. Standard mammograms were obtained in the patients over 30 years old. Three independent radiologists assessed the features on grayscale ultrasound and mammograms and classified NMLs according to BI-RADS categories. Combined with the quantitative analysis in CEUS, the BI-RADS categories were reassessed, and the sensitivity, specificity, positive predictive value, negative predictive value and area under the receiver operating characteristic curve (AUC) were calculated for the evaluation of the diagnostic performance.30 benign and 24 malignant NMLs were finally enrolled in this study, with ductal carcinoma in situ being the majority of malignant (15/24). Average contrast signal intensity (AI), wash-in rate (WiR) and enhancement intensity at 40 s (I40) were found to be the most efficient kinetic parameters to diagnose malignant NMLs. Combined with the cutoff values of 205.2 for AI, 127.8 for WiR and 136.4 for I40, the diagnostic accuracy was improved (AUC = 0.904), with the sensitivity of 95.8% and the specificity of 70.0%.The results suggested that hyper-enhancement and rapid wash-in and wash-out are the characteristics of malignant NMLs. The kinetic analysis using CEUS can reflect hypervascular nature of malignant NMLs, thus improving the diagnostic performance combined with grayscale ultrasound.In this study, we quantified the enhancement characteristics of non-mass breast lesions with CEUS. We revealed that the combination of CEUS and conventional ultrasound provided higher sensitivity for diagnosing malignant NMLs.

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
1秒前
1秒前
echo完成签到,获得积分10
3秒前
4秒前
5秒前
5秒前
LZ01发布了新的文献求助10
7秒前
合适荧荧发布了新的文献求助10
8秒前
小二郎应助5_羟色胺采纳,获得10
9秒前
hh会辉煌发布了新的文献求助30
9秒前
二月完成签到,获得积分20
9秒前
事缓则圆发布了新的文献求助10
9秒前
周紧诚发布了新的文献求助10
10秒前
Nuyoah发布了新的文献求助10
10秒前
12秒前
14秒前
乐风完成签到,获得积分10
17秒前
大模型应助我去打球采纳,获得10
17秒前
胶了个原发布了新的文献求助10
19秒前
英俊的铭应助灰太狼采纳,获得20
20秒前
20秒前
周紧诚完成签到,获得积分10
20秒前
20秒前
21秒前
22秒前
22秒前
嘤嘤嘤发布了新的文献求助10
22秒前
MeiFanNao发布了新的文献求助10
23秒前
Hello应助北极兔采纳,获得10
23秒前
超级的丹琴完成签到,获得积分10
24秒前
楠楠发布了新的文献求助10
25秒前
25秒前
25秒前
斯文败类应助HH采纳,获得10
27秒前
李健的小迷弟应助Maestro_S采纳,获得10
27秒前
快乐小狗发布了新的文献求助10
29秒前
30秒前
我去打球发布了新的文献求助10
31秒前
31秒前
31秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 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
Matrix Methods in Data Mining and Pattern Recognition 510
Reading and Understanding Health Research 500
Social Skills Improvement System-Rating Scales--Chinese Version 500
Dynamische Polarisation von H-1 und B-11 in (CH-3)-3NBH-3 500
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 7250909
求助须知:如何正确求助?哪些是违规求助? 8873568
关于积分的说明 18728593
捐赠科研通 6930513
什么是DOI,文献DOI怎么找? 3199237
关于科研通互助平台的介绍 2374280
邀请新用户注册赠送积分活动 2173916