Elastography: New Developments in Ultrasound for Predicting Malignancy in Thyroid Nodules

医学 弹性成像 恶性肿瘤 甲状腺结节 放射科 超声波 细胞学 超声弹性成像 前瞻性队列研究 试验预测值 细针穿刺 甲状腺癌 结核(地质) 甲状腺 病理 内科学 活检 古生物学 生物
作者
Teresa Rago,Ferruccio Santini,M Scutari,Aldo Pinchera,Paolo Vitti
出处
期刊:The Journal of Clinical Endocrinology and Metabolism [The Endocrine Society]
卷期号:92 (8): 2917-2922 被引量:540
标识
DOI:10.1210/jc.2007-0641
摘要

Elastography is a newly developed dynamic technique that uses ultrasound (US) to provide an estimation of tissue stiffness by measuring the degree of distortion under the application of an external force. US elastography has been applied to differentiate malignant from benign lesions.This study included 92 consecutive patients with a single thyroid nodule who underwent surgery for compressive symptoms or suspicion of malignancy on fine needle aspiration cytology. Tissue stiffness on US elastography was scored from one (greatest elastic strain) to five (no strain).On US elastography: scores 1 and 2 were found in 49 cases, all benign lesions; score 3 in 13 cases, one carcinoma and 12 benign lesions; and scores 4 and 5 in 30 cases, all carcinomas. Thus, the elasticity scores 4-5 were highly predictive of malignancy (P < 0.0001), with a sensitivity of 97%, a specificity of 100%, a positive predictive value of 100%, and a negative predictive value of 98%. In 32 patients with an indeterminate fine needle aspiration result, the conventional US was not predictive of malignancy, while an US elastographic score of 4-5 was observed in six of seven (86%) patients with carcinoma on histology, and a score of 1-3 in all 25 patients with benign lesions.US elastography has great potential as an adjunctive tool for the diagnosis of thyroid cancer, especially in indeterminate nodules on cytology. Larger prospective studies are needed to confirm these results and establish the diagnostic accuracy of this new technique.
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
随机起的名完成签到,获得积分10
刚刚
Owen应助努力的小狗屁采纳,获得10
1秒前
1秒前
vuig完成签到 ,获得积分10
1秒前
哈哈哈的一笑完成签到,获得积分10
1秒前
1秒前
Emma完成签到,获得积分10
1秒前
2秒前
2秒前
研友_VZG7GZ应助不吃香菜采纳,获得10
2秒前
huanger完成签到,获得积分10
2秒前
Tayzon完成签到 ,获得积分10
2秒前
我测你码完成签到,获得积分10
2秒前
超级宇宙二踢脚完成签到,获得积分10
3秒前
3秒前
4秒前
大气小新完成签到,获得积分10
4秒前
ILS完成签到 ,获得积分10
4秒前
Orange应助澜生采纳,获得10
5秒前
lin完成签到,获得积分10
6秒前
Ares发布了新的文献求助10
6秒前
6秒前
谭平完成签到 ,获得积分10
6秒前
7秒前
淡定紫菱完成签到,获得积分10
7秒前
所所应助HYH采纳,获得20
7秒前
7秒前
木香完成签到,获得积分10
8秒前
尘雾发布了新的文献求助10
9秒前
10秒前
高鑫完成签到 ,获得积分10
10秒前
英姑应助dd采纳,获得10
10秒前
Chan0501关注了科研通微信公众号
11秒前
11秒前
研友_LMNjkn发布了新的文献求助10
11秒前
tjunqi完成签到,获得积分10
12秒前
12秒前
科研通AI2S应助下课了吧采纳,获得10
13秒前
13秒前
13秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527884
求助须知:如何正确求助?哪些是违规求助? 3108006
关于积分的说明 9287444
捐赠科研通 2805757
什么是DOI,文献DOI怎么找? 1540033
邀请新用户注册赠送积分活动 716904
科研通“疑难数据库(出版商)”最低求助积分说明 709794