The Role of Collaboration in Prenatal Congenital Heart Disease Diagnosis

医学 法洛四联症 肺动脉闭锁 心脏病 胎儿超声心动图 产前诊断 胎儿 医学诊断 母胎医学 尸检 儿科 怀孕 心脏病学 内科学 产科 放射科 妇产科学 生物 遗传学
作者
Sanitra Anuwutnavin,Matinuch Kuichanuan,Nalat Sompagdee,Supaluck Kanjanauthai,Jarupim Soongswang
出处
期刊:Journal of Ultrasound in Medicine [Wiley]
标识
DOI:10.1002/jum.16606
摘要

Objective This study compared the accuracy of prenatal congenital heart disease (CHD) diagnosed by maternal‐fetal medicine specialists (MFMs) and pediatric cardiologists (PCs), using postnatal cardiac findings as the reference standard. Methods This retrospective analysis at Siriraj Hospital, Bangkok, Thailand, involved 125 pregnancies with fetal CHD diagnosed by MFMs and evaluated by PCs later. Prenatal CHD diagnoses by either MFM or PC were compared with postnatal diagnoses obtained through echocardiography, cardiac surgery/catheterization, or autopsy. Diagnostic accuracy was classified as (A) correct diagnosis, (B) minor differences not impacting clinical management or outcomes, or (C) major differences affecting prognosis or treatment. Results Cardiac sonography by MFM achieved diagnostic accuracies of 73.6% (A), 16% (B), and 10.4% (C), while fetal echocardiography by PC resulted in accuracies of 72% (A), 20% (B), and 8% (C). No statistically significant differences were found between MFM and PC in each category ( P = .375–.832). The MFMs' accuracy was highest for tetralogy of Fallot (94.4%; 95% CI, 72.7–99.9%) and lowest for right atrial isomerism (71.4%; 95% CI, 29–96.3%) and pulmonary atresia with ventricular septal defect (57.1%; 95% CI, 18.4–90.1%). Conclusions MFMs and PCs demonstrated high and comparable accuracy in prenatal CHD diagnosis. Although PCs tended to outperform MFMs in cases where misdiagnosis could significantly impact neonatal care and outcomes, MFMs can effectively perform primary screening for fetal CHD in all pregnancies. Collaboration with PCs remains essential when fetal CHD is suspected, particularly in complex cases.
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
单纯的逊发布了新的文献求助10
刚刚
薄荷778完成签到,获得积分10
刚刚
刚刚
1秒前
矮小的茹妖完成签到 ,获得积分10
2秒前
宇文安寒发布了新的文献求助10
2秒前
3秒前
科研通AI5应助carbon-dots采纳,获得10
3秒前
pluto应助期待未来的自己采纳,获得10
4秒前
OrangeBlueHeart完成签到,获得积分10
4秒前
Singularity应助无奈的石头采纳,获得10
5秒前
张强完成签到,获得积分10
5秒前
Super发布了新的文献求助50
5秒前
Crystal完成签到,获得积分10
6秒前
gdh发布了新的文献求助10
6秒前
文艺代灵发布了新的文献求助10
6秒前
7秒前
给你吃一个屁完成签到,获得积分10
7秒前
小二郎应助文艺怀蝶采纳,获得10
7秒前
pluto应助ch采纳,获得10
8秒前
8秒前
9秒前
10秒前
FashionBoy应助Crystal采纳,获得10
10秒前
辛勤易烟发布了新的文献求助10
11秒前
上官若男应助单纯的逊采纳,获得10
12秒前
科研通AI5应助橙子采纳,获得10
12秒前
12秒前
椰子壳完成签到,获得积分10
13秒前
13秒前
14秒前
爆米花应助Super采纳,获得50
14秒前
韩韩发布了新的文献求助10
14秒前
隐形曼青应助ldd采纳,获得10
15秒前
佘同学发布了新的文献求助10
17秒前
pluto应助期待未来的自己采纳,获得10
18秒前
你还要猫怎样完成签到,获得积分10
18秒前
古德曼完成签到 ,获得积分10
19秒前
秦彻关注了科研通微信公众号
20秒前
20秒前
高分求助中
All the Birds of the World 4000
Production Logging: Theoretical and Interpretive Elements 3000
Les Mantodea de Guyane Insecta, Polyneoptera 2000
Am Rande der Geschichte : mein Leben in China / Ruth Weiss 1500
CENTRAL BOOKS: A BRIEF HISTORY 1939 TO 1999 by Dave Cope 1000
Machine Learning Methods in Geoscience 1000
Resilience of a Nation: A History of the Military in Rwanda 888
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3737545
求助须知:如何正确求助?哪些是违规求助? 3281271
关于积分的说明 10024202
捐赠科研通 2998002
什么是DOI,文献DOI怎么找? 1644955
邀请新用户注册赠送积分活动 782443
科研通“疑难数据库(出版商)”最低求助积分说明 749794