title: Predictiveness of sonographic fetal weight estimation as a function of prior probability of intrauterine growth retardation.
abstract: We evaluated the predictiveness of sonographically estimated fetal weight as a function of the estimation of probability of having intrauterine growth retardation (IUGR) before obtaining an ultrasound scan (prior probability). The value of the estimated fetal weight resided more in its high specificity than in its sensitivity, hence in its ability to confirm that the fetus is normal. The predictiveness of the method was further enhanced when the fetal weight estimation was placed in the context of the prior probability of IUGR. In particular, the positive predictive value of the test as well as the likelihood of having a growth-retarded infant in spite of an estimated fetal weight within the normal range were considerably higher as the prior probability of IUGR increased. Since the obstetrician using all available evidence is likely to form a rather good estimate of the possibility of IUGR before ordering a scan, this improvement in the predictiveness of estimated fetal weight through a Bayesian approach can be advantageously applied to ultrasound analysis and can effectively support clinical decision making.
authors.affiliation: Department of Obstetrics and Gynecology, York Hospital, Pennsylvania 17405.
authors.forename: N V
authors.initials: NV
authors.lastname: Simon
authors.forename: J S
authors.initials: JS
authors.lastname: Levisky
authors.forename: D M
authors.initials: DM
authors.lastname: Shearer
authors.forename: K C
authors.initials: KC
authors.lastname: Morris
authors.forename: P A
authors.initials: PA
authors.lastname: Hansberry
mesh_terms: D001499:Bayes Theorem; D001835:Body Weight; D005260:Female; D005317:Fetal Growth Retardation / Q000175:diagnosis / Q000503:physiopathology*; D005333:Fetus / Q000502:physiology*; D005865:Gestational Age; D006801:Humans; D011237:Predictive Value of Tests; D011247:Pregnancy; D012680:Sensitivity and Specificity; D014463:Ultrasonography