Ultrasonic fetal weight prediction: role of head circumference and femur length.

医学 胎儿 股骨 出生体重 双顶径 胎儿体重 人口 胎头 超声波 周长 头围 产科 怀孕 核医学 外科 放射科 数学 几何学 环境卫生 生物 遗传学
作者
Carl P. Weiner,Rudy E. Sabbagha,Naomi Vaisrub,Michael L. Socol
出处
期刊:PubMed 卷期号:65 (6): 812-7 被引量:18
链接
标识
摘要

The accurate sonographic estimate of fetal weight is helpful in those instances when the fetal weight estimate might alter clinical management. Most sonographic weight predicting formulas have been based predominantly on measurements from the term fetus and then applied to the preterm fetus. Yet, the morphology of the preterm and term fetus differs considerably. The authors have examined the predictive accuracy of three published sonographic formulas in 69 preterm fetuses scanned within 48 hours of delivery. The mean birth weight was 1396 g. Thirty-nine of the infants were less than 1500 g. Sixty-two percent were products of pregnancies complicated by premature rupture of membranes. The results were compared with new equations derived from combinations of head and abdominal circumferences, biparietal diameter, and femur length obtained from the first 33 fetuses and then tested on the remaining 36. Whereas each formula correlated highly with birth weight, the selected new formula was more accurate than the published formulas by each criteria examined. In contrast to the latter, the mean error (actual minus predicted weight) of most new equations did not significantly differ from zero when tested prospectively. In addition, it appeared that the accuracy of two new formulas not incorporating femur length could be further enhanced in the group of fetuses whose femur length differed from the mean by at least 2 standard deviations by multiplying the predicted weight by the ratio of actual to mean femur length. The authors conclude that the use of head circumference and femur length coupled with a population restricted to the preterm fetus enhances the accuracy of sonographic weight predictions.

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
斯文败类应助dogshit采纳,获得10
1秒前
1秒前
1秒前
2秒前
汉堡包应助粗暴的友绿采纳,获得30
2秒前
SamYang发布了新的文献求助10
2秒前
qin202569完成签到,获得积分10
3秒前
明月曾经川岸去完成签到,获得积分10
3秒前
yangkang完成签到,获得积分10
3秒前
右右完成签到,获得积分10
4秒前
xiaoyu完成签到,获得积分10
4秒前
ml完成签到,获得积分10
4秒前
YAXUESUN发布了新的文献求助10
5秒前
医学事业完成签到,获得积分10
5秒前
5秒前
无极微光应助啊啊啊采纳,获得20
5秒前
kristen完成签到,获得积分10
5秒前
今后应助xiaoding采纳,获得10
5秒前
鲜艳的嚓茶完成签到,获得积分10
5秒前
古月方源完成签到 ,获得积分10
6秒前
小黑Robot完成签到,获得积分10
6秒前
量子星尘发布了新的文献求助10
6秒前
Iloveyou完成签到,获得积分10
6秒前
共享精神应助WangYZ采纳,获得30
6秒前
shadow发布了新的文献求助10
7秒前
偶然的风41177完成签到,获得积分10
7秒前
高挑的金毛完成签到 ,获得积分10
7秒前
8秒前
闪闪幼南完成签到,获得积分10
8秒前
超然度陈完成签到,获得积分10
8秒前
实验鱼发布了新的文献求助10
9秒前
汉堡包应助wubin69采纳,获得10
9秒前
SamYang完成签到,获得积分10
10秒前
公龟完成签到,获得积分0
10秒前
DDZ完成签到,获得积分10
10秒前
Deer发布了新的文献求助30
11秒前
WangSY完成签到 ,获得积分10
11秒前
专一的蛋挞完成签到,获得积分10
12秒前
12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
Encyclopedia of Reproduction Third Edition 3000
Comprehensive Methanol Science Production, Applications, and Emerging Technologies 2000
From Victimization to Aggression 1000
化妆品原料学 1000
小学科学课程与教学 500
Study and Interlaboratory Validation of Simultaneous LC-MS/MS Method for Food Allergens Using Model Processed Foods 500
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 5645554
求助须知:如何正确求助?哪些是违规求助? 4769221
关于积分的说明 15030506
捐赠科研通 4804229
什么是DOI,文献DOI怎么找? 2568855
邀请新用户注册赠送积分活动 1526056
关于科研通互助平台的介绍 1485654