OC17.05: Predictive value of fetal brain texture analysis by automatic quantitative MRI analysis in small-for-gestational-age fetuses for an abnormal neonatal neurobehavior

Background: The incidence of low birth weight babies continues to be high in India at about 30% in contrast to 5-7% in developed countries. Perinatal, neonatal and infant mortality as well as morbidity is associated with low birth weight (LBW) neonates of which, it is the Small for Gestational Age (SGA) neonates that are at increased risk. Henceforth, it becomes important to study the prevalence of SGA babies and to compare various anthropometric measurements among term neonates for assessing as to which of these could be taken as surrogate markers of small for gestational age babies.Methods: It was a cross sectional study conducted over a period of 2 years among 100 term neonates delivered in a private medical college in Puducherry, India.Results: The prevalence of low birth weight babies and small for gestational age was found to be 40% and 30% respectively. Using mid arm circumference as a predictor, the sensitivity, specificity, positive predictive value and negative predictive value of SGA was found to be 100%, 57.14%, 50% and 100% respectively. Using MAC/HC ratio as a predictor, the sensitivity, specificity, positive predictive value and negative predictive value was found to be 46.67%, 100%, 100% and 81.4% respectively.Conclusions: In predicting SGA babies, mid arm circumference has the highest sensitivity whereas MAC/HC ratio has the highest specificity followed by mid arm circumference. Present study concluded that mid arm circumference and ratio of MAC/HC are very helpful in identifying SGA neonates among term neonates.

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VP33.05: Fetal brain development in small‐for‐gestational‐age fetuses and normal controls

Ultrasound in Obstetrics and Gynecology ◽

10.1002/uog.24505 ◽

2021 ◽

Vol 58 (S1) ◽

pp. 89-312

Author(s):

J. Braun ◽

E. Jacob ◽

K. Oelmeier ◽

H. Köster ◽

M. Möllers ◽

...

Keyword(s):

Brain Development ◽

Gestational Age ◽

Small For Gestational Age ◽

Fetal Brain ◽

Fetal Brain Development ◽

Normal Controls

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Estimating gestational age and its relation to the anthropometric status of newborns: a study comparing the Capurro and ultrasound methods with last menstrual period

Revista Brasileira de Saúde Materno Infantil ◽

10.1590/s1519-38292011000100006 ◽

2011 ◽

Vol 11 (1) ◽

pp. 51-60 ◽

Cited By ~ 3

Author(s):

Maria de Fátima Pussick Nunes ◽

Sandra Maria Conceição Pinheiro ◽

Fabíola Eloy da Rocha Medrado ◽

Ana Marlúcia Oliveira Assis

Keyword(s):

Gestational Age ◽

Small For Gestational Age ◽

Predictive Value ◽

Characteristic Curve ◽

Rank Test ◽

Signed Rank ◽

Maternity Hospitals ◽

Signed Rank Test ◽

Term Newborns ◽

Sensitivity Specificity

OBJECTIVE: to assess the accuracy of the Capurro somatic and ultrasound methods, taking date of last menstruation as a reference point, for evaluating gestational age and anthropometric classification of term newborns. METHODS: a prevalence study was carried out involving 309 pregnant women and their term newborns, 92 of whom were small for gestational age and 217 appropriate sized for gestational age, at two public maternity hospitals in the Brazilian city of Salvador. The evaluation of the differences between the median gestational age according to the two methods was carried out using the non-parametric "Wilcoxon Signed-Rank Test." The accuracy of the methods for evaluating gestational age for the small for gestational age newborns was estimated by calculating the sensitivity, specificity, positive predictive value, negative predictive value and ROC (Receiver Operating Characteristic) curve. RESULTS: compared to ultrasound, the Capurro method overestimated the gestational age in newbornsof less than 39 weeks and underestimated it in older newborns. Ultrasound underestimated gestational agein newborns with more than 37 weeks. CONCLUSION: ultrasound was found to have greater sensitivity for prediction of small for age newborns (96.6%), while the Capurro method presented greater specificity (75.5%). The highest accuracy was obtained using ultrasound in the 41st gestational week (ROC=77.0%).

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