Application of the Morphological Uterus Sonographic Assessment ( MUSA ) Consensus for Adenomyosis Diagnosis

作者
Yixuan Hu,Yushan Jiang,Lingzhi Meng,Jinzhen Song,Zongli Yang
出处
期刊:Journal of Ultrasound in Medicine [Wiley]
标识
DOI:10.1002/jum.70141
摘要

Objective To evaluate the diagnostic value of the nine Morphological Uterus Sonographic Assessment (MUSA)‐defined ultrasonographic features for adenomyosis and develop an ultrasound scoring system to improve diagnostic accuracy. Methods This retrospective study analyzed ultrasound images from patients who underwent total hysterectomy between May 2023 and December 2024, in accordance with the MUSA consensus. The cohort was split into training and testing sets. Ridge regression was applied to the training set to develop an ultrasound scoring system based on the regression coefficients of each sign, which was subsequently validated in the test set. Correlations between the ultrasound score and preoperative hemoglobin, dysmenorrhea were evaluated. Results Interrupted junctional zone and myometrial cysts showed highest specificity (89.0%, 88.5%), hyperechoic islands highest sensitivity (69.2%). In the training set, the scoring system achieved an area under the curve (AUC) of 0.948 (95% CI 0.901–0.990), sensitivity 86.3%, specificity 87.3%, accuracy 86.8%. In the testing set, AUC was 0.894 (95% CI 0.856–0.931), sensitivity 79.4%, specificity 83.9%, accuracy 81.7%. No significant correlation existed between ultrasound score and hemoglobin ( ρ = 0.017, P = .824), but a weak positive correlation was found with Visual Analogue Scale (VAS) scores ( ρ = 0.178, P = .016). Conclusion All nine MUSA features contribute to adenomyosis diagnosis, but no single sign is sufficiently accurate alone. The ultrasound scoring system significantly enhances transvaginal ultrasound diagnostic performance and shows strong clinical potential. Higher scores correlate modestly with greater dysmenorrhea severity.
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
1秒前
123654完成签到,获得积分10
3秒前
3秒前
3秒前
3秒前
4秒前
闪闪航空发布了新的文献求助10
5秒前
tmq发布了新的文献求助30
5秒前
赘婿应助cc采纳,获得10
6秒前
万能图书馆应助欣喜冷之采纳,获得10
6秒前
你好完成签到,获得积分10
6秒前
Kevin完成签到,获得积分10
6秒前
wang发布了新的文献求助10
6秒前
XYZ发布了新的文献求助10
6秒前
濮阳冰海完成签到 ,获得积分10
6秒前
yunji821关注了科研通微信公众号
7秒前
7秒前
琪琪国王发布了新的文献求助10
8秒前
今后应助可耐的柜子采纳,获得10
8秒前
xiao完成签到,获得积分10
8秒前
8秒前
李健应助飞快的笑晴采纳,获得10
8秒前
大西瓜发布了新的文献求助10
8秒前
9秒前
9秒前
鲤鱼诗桃发布了新的文献求助10
9秒前
炙热慕卉完成签到,获得积分10
9秒前
隐形曼青应助脑阔要爆炸采纳,获得10
9秒前
彭于晏应助Kevin采纳,获得10
10秒前
11秒前
11秒前
露亮发布了新的文献求助10
11秒前
LZ01发布了新的文献求助10
11秒前
乌乌完成签到,获得积分10
11秒前
11秒前
12秒前
12秒前
zlx020512关注了科研通微信公众号
12秒前
丁丁发布了新的文献求助10
13秒前
14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
Principles of town planning: translating concepts to applications 1000
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The Great Hymn to Šamaš 500
Positive Obsession: The Life and Times of Octavia E. Butler 500
Interpolation and Regression Models for the Chemical Engineer: Solving Numerical Problems 400
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 7693258
求助须知:如何正确求助?哪些是违规求助? 9254116
关于积分的说明 19987913
捐赠科研通 7266605
什么是DOI,文献DOI怎么找? 3291564
关于科研通互助平台的介绍 2447607
邀请新用户注册赠送积分活动 2296938