A Novel Nomogram Based on 3-dimensional Transvaginal Ultrasound for Differential Diagnosis Between Severe and Mild-to-Moderate Intrauterine Adhesions

医学 列线图 置信区间 泌尿科 宫腔镜检查 妇科 接收机工作特性 放射科 内科学
作者
Lei Lei,Lingxiao Zou,Yang Yu,Waixing Li,Aiqian Zhang,Dabao Xu
出处
期刊:Journal of Minimally Invasive Gynecology [Elsevier BV]
卷期号:29 (7): 862-870 被引量:5
标识
DOI:10.1016/j.jmig.2022.04.002
摘要

To develop and validate a nomogram for differentiating severe intrauterine adhesions (IUAs) from mild-to-moderate IUAs preoperatively on the basis of 3-dimensional transvaginal ultrasound (3D-TVUS).Retrospective observational study.University-affiliated hospital.A dataset of 413 patients who had undergone hysteroscopic adhesiolysis and 3D-TVUS examination before hysteroscopic adhesiolysis between March 2019 and December 2020.Not applicable.A total of 212 patients with mild-to-moderate IUAs and 201 patients with severe IUAs were enrolled. Intercornual distance, endometrial thickness, number of visible fallopian tubal ostia, echoes of the endometrial-myometrial junction zone, and endometrial blood flow grade differed significantly between the severe and mild-to-moderate IUAs groups. The area under the receiver operating characteristic curve of the nomogram was 0.880 (95% confidence interval, 0.843-0.918) in the training set and 0.878 (95% confidence interval, 0.818-0.939) in the validation set, revealing reliable discrimination. The calibration curve and Hosmer-Lemeshow test showed strong calibration, and decision curve analysis indicated that the nomogram had a high net benefit and a wide range of threshold probabilities.This nomogram, which was developed on the basis of 3D-TVUS, can accurately distinguish severe IUAs from mild-to-moderate IUAs preoperatively.
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
2秒前
科目三应助王南南采纳,获得10
2秒前
XIA发布了新的文献求助10
3秒前
情怀应助Jonathan采纳,获得10
3秒前
安静的幻天完成签到 ,获得积分10
3秒前
作业对不起完成签到,获得积分10
3秒前
6秒前
6秒前
LiLi完成签到,获得积分10
6秒前
充电宝应助花凉采纳,获得10
7秒前
123123完成签到 ,获得积分10
7秒前
慕青应助受伤的水云采纳,获得10
8秒前
想当狼的二哈完成签到 ,获得积分10
9秒前
默listening应助超级采纳,获得10
10秒前
11秒前
11秒前
吗喽发布了新的文献求助10
12秒前
清欢完成签到 ,获得积分10
14秒前
我是老大应助晕晕鲨采纳,获得30
15秒前
15秒前
16秒前
sht发布了新的文献求助10
16秒前
漠之梦发布了新的文献求助10
16秒前
CR7应助花凉采纳,获得10
17秒前
18秒前
Bin_Liu发布了新的文献求助10
19秒前
19秒前
teadan完成签到 ,获得积分10
20秒前
星辰大海应助漠之梦采纳,获得10
20秒前
21秒前
obaica发布了新的文献求助10
21秒前
YKT完成签到,获得积分10
21秒前
hunter发布了新的文献求助10
21秒前
22秒前
Cyrilla发布了新的文献求助10
23秒前
25秒前
嘟嘟许完成签到,获得积分10
25秒前
25秒前
26秒前
往前走完成签到 ,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 1500
Weaponeering: An Introduction Fourth Edition, Volume 1 1000
Advanced Weaponeering Fourth Edition, Volume 2 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
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 7508105
求助须知:如何正确求助?哪些是违规求助? 9096924
关于积分的说明 19412562
捐赠科研通 7115287
什么是DOI,文献DOI怎么找? 3252113
关于科研通互助平台的介绍 2421268
邀请新用户注册赠送积分活动 2238477