Shear-Wave Elastography of Benign versus Malignant Musculoskeletal Soft-Tissue Masses: Comparison with Conventional US and MRI

医学 恶性肿瘤 置信区间 放射科 软组织 接收机工作特性 活检 优势比 弹性成像 逻辑回归 核医学 超声波 病理 内科学
作者
Aniket Tavare,Abdulrahman M. Alfuraih,Elizabeth W. Karlson,Emmanouil Astrinakis,Harun Gupta,Philip Robinson
出处
期刊:Radiology [Radiological Society of North America]
卷期号:290 (2): 410-417 被引量:33
标识
DOI:10.1148/radiol.2018180950
摘要

Purpose To examine if shear-wave elastography (SWE) improves the accuracy of diagnosing soft-tissue masses as benign or malignant compared with US alone or in combination with MRI. Materials and Methods Two hundred six consecutive adult participants (mean age, 57.7 years; range, 18–91 years), including 89 men (median age, 56.0 years; range, 21–91 years) and 117 women (median age, 59.1 years; range, 18–88 years), who were referred for biopsy of a soft-tissue mass were prospectively recruited from December 2015 through March 2017. Participants underwent B-mode US, MRI, and SWE prior to biopsy. Three musculoskeletal radiologists independently reviewed US images alone, followed by US and MRI images together, and classified lesions as benign, probably benign, probably malignant, or malignant. For SWE, the area under the receiver operating characteristic (ROC) curve (AUC) was calculated for transverse shear-wave velocity (SWV). Multivariable logistic regression was used to investigate the association between SWE and malignancy alongside individual demographic and imaging variables. Results At histologic examination, 79 of 206 (38%) participants had malignant lesions. SWV showed good diagnostic accuracy for lesions classified as benign or probably benign by US alone (AUC = 0.87 [95% confidence interval {CI}: 0.79, 0.95]). SWV did not provide substantive diagnostic information for lesions classified as probably malignant or malignant, whether the classification was made with or without MRI. However, multivariable modeling indicated that diagnostic accuracy may vary by lesion position (interaction P = .02; superficial, odds ratio [OR] = 17.7 [95% CI: 1.50, 207], P = .02; deep/mixed, OR = 0.24 [95% CI: 0.07, 0.86], P = .03) and participant age (interaction P = .01; eg, age 43 years, OR = 0.72 [95% CI: 0.15, 3.5], P = .69; age 72 years, OR = 0.08 [95% CI: 0.02, 0.37], P = .001). Conclusion Shear-wave elastography can increase accuracy of soft-tissue lesion diagnosis in conjunction with US. However, a single cut-off may not be universally applicable with diagnostic accuracy that is affected by lesion position and patient age. © RSNA, 2018 Online supplemental material is available for this article.

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
传奇3应助年年年年采纳,获得10
2秒前
小武完成签到,获得积分10
3秒前
3秒前
LX完成签到,获得积分10
3秒前
Mangooo完成签到,获得积分10
3秒前
猫猫无敌完成签到,获得积分10
4秒前
4秒前
4秒前
4秒前
聪明帅哥发布了新的文献求助10
4秒前
skycool发布了新的文献求助10
4秒前
4秒前
回复对方完成签到,获得积分10
5秒前
5秒前
理li发布了新的文献求助10
5秒前
量子星尘发布了新的文献求助30
5秒前
6秒前
6秒前
果称完成签到,获得积分10
6秒前
ZS驳回了Akim应助
7秒前
猫猫无敌发布了新的文献求助10
7秒前
8秒前
朴素八宝粥完成签到,获得积分10
8秒前
9秒前
完美世界应助余泽楷采纳,获得10
9秒前
苦行僧发布了新的文献求助30
10秒前
甄昕发布了新的文献求助10
10秒前
10秒前
852应助skycool采纳,获得10
10秒前
11秒前
笨笨凡松完成签到,获得积分10
11秒前
滴答完成签到 ,获得积分10
11秒前
负责雨安发布了新的文献求助10
11秒前
12秒前
路过蜻蜓完成签到,获得积分10
12秒前
12秒前
年年年年发布了新的文献求助10
13秒前
量子星尘发布了新的文献求助10
13秒前
Xiu发布了新的文献求助10
13秒前
高分求助中
(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
Clinical Microbiology Procedures Handbook, Multi-Volume, 5th Edition 2000
The Cambridge History of China: Volume 4, Sui and T'ang China, 589–906 AD, Part Two 1000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1000
Russian Foreign Policy: Change and Continuity 800
Real World Research, 5th Edition 800
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5717982
求助须知:如何正确求助?哪些是违规求助? 5249617
关于积分的说明 15284035
捐赠科研通 4868135
什么是DOI,文献DOI怎么找? 2614009
邀请新用户注册赠送积分活动 1563957
关于科研通互助平台的介绍 1521400