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Ultrasonography-based Fetal Weight Estimation: Finding an Appropriate Model for an Indian Population

BACKGROUND: Very limited information is available regarding the accuracy and applicability of various ultrasonography parameters [abdominal circumference (AC), biparietal diameter (BPD), femur length (FL), and head circumference (HC)]-based fetal weight estimation models for Indian population. The o...

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Autores principales: Hiwale, Sujitkumar S., Misra, Hemant, Ulman, Shrutin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6029285/
https://www.ncbi.nlm.nih.gov/pubmed/30065451
http://dx.doi.org/10.1016/j.jmu.2016.10.006
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author Hiwale, Sujitkumar S.
Misra, Hemant
Ulman, Shrutin
author_facet Hiwale, Sujitkumar S.
Misra, Hemant
Ulman, Shrutin
author_sort Hiwale, Sujitkumar S.
collection PubMed
description BACKGROUND: Very limited information is available regarding the accuracy and applicability of various ultrasonography parameters [abdominal circumference (AC), biparietal diameter (BPD), femur length (FL), and head circumference (HC)]-based fetal weight estimation models for Indian population. The objective of this study was to systematically evaluate commonly used fetal weight estimation models to determine their appropriateness for an Indian population. METHODS: Retrospective data of 300 pregnant women was collected from a tertiary care center in Bengaluru, India. The inclusion criteria were a live singleton pregnancy, gestational age ≥ 34 weeks, and last ultrasound scan to delivery duration ≤ 7 days. Cases with suspected fetal growth restriction or malformation were excluded. For each case, fetal weight was estimated using 34 different models. The models specifically designed for low birth weight, small for gestation age, or macrosomic babies were excluded. The models were ranked based on their mean percentage error (MPE) and its standard deviation (random error). A model with the least MPE and random error ranking was considered as the best model. RESULTS: In total, 149 cases were found suitable for the study. Out of 34, only 12 models had MPE within ± 10% and only seven models had random error < 10%. Most of the Western population-based models had a tendency to overestimate the fetal weight. Based on MPE and random error ranking, the Woo’s (AC-BPD) model was found to be the best, followed by Jordaan (AC), Combs (AC-HC-FL), Hadlock (AC-HC), and Hadlock-3 (AC-HC-FL) models. It was observed that the models based on just AC and AC-BPD combinations had statistically significant lesser MPE than the models based on all other combinations (p < 0.05). CONCLUSION: It was observed that the existing models have higher errors on Indian population than on their native populations. This points toward limitations in direct application of these models on Indian population without due consideration. Therefore, it is recommended that clinicians should exert caution in interpretation of fetal weight estimations based on these models. Moreover, this study highlights a need of models based on native Indian population.
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spelling pubmed-60292852018-07-31 Ultrasonography-based Fetal Weight Estimation: Finding an Appropriate Model for an Indian Population Hiwale, Sujitkumar S. Misra, Hemant Ulman, Shrutin J Med Ultrasound Original Article BACKGROUND: Very limited information is available regarding the accuracy and applicability of various ultrasonography parameters [abdominal circumference (AC), biparietal diameter (BPD), femur length (FL), and head circumference (HC)]-based fetal weight estimation models for Indian population. The objective of this study was to systematically evaluate commonly used fetal weight estimation models to determine their appropriateness for an Indian population. METHODS: Retrospective data of 300 pregnant women was collected from a tertiary care center in Bengaluru, India. The inclusion criteria were a live singleton pregnancy, gestational age ≥ 34 weeks, and last ultrasound scan to delivery duration ≤ 7 days. Cases with suspected fetal growth restriction or malformation were excluded. For each case, fetal weight was estimated using 34 different models. The models specifically designed for low birth weight, small for gestation age, or macrosomic babies were excluded. The models were ranked based on their mean percentage error (MPE) and its standard deviation (random error). A model with the least MPE and random error ranking was considered as the best model. RESULTS: In total, 149 cases were found suitable for the study. Out of 34, only 12 models had MPE within ± 10% and only seven models had random error < 10%. Most of the Western population-based models had a tendency to overestimate the fetal weight. Based on MPE and random error ranking, the Woo’s (AC-BPD) model was found to be the best, followed by Jordaan (AC), Combs (AC-HC-FL), Hadlock (AC-HC), and Hadlock-3 (AC-HC-FL) models. It was observed that the models based on just AC and AC-BPD combinations had statistically significant lesser MPE than the models based on all other combinations (p < 0.05). CONCLUSION: It was observed that the existing models have higher errors on Indian population than on their native populations. This points toward limitations in direct application of these models on Indian population without due consideration. Therefore, it is recommended that clinicians should exert caution in interpretation of fetal weight estimations based on these models. Moreover, this study highlights a need of models based on native Indian population. Medknow Publications & Media Pvt Ltd 2017 2016-12-15 /pmc/articles/PMC6029285/ /pubmed/30065451 http://dx.doi.org/10.1016/j.jmu.2016.10.006 Text en Copyright: © 2016, Elsevier Taiwan LLC and the Chinese Taipei Society of Ultrasound in Medicine http://creativecommons.org/licenses/by-nc-nd/4.0 This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Article
Hiwale, Sujitkumar S.
Misra, Hemant
Ulman, Shrutin
Ultrasonography-based Fetal Weight Estimation: Finding an Appropriate Model for an Indian Population
title Ultrasonography-based Fetal Weight Estimation: Finding an Appropriate Model for an Indian Population
title_full Ultrasonography-based Fetal Weight Estimation: Finding an Appropriate Model for an Indian Population
title_fullStr Ultrasonography-based Fetal Weight Estimation: Finding an Appropriate Model for an Indian Population
title_full_unstemmed Ultrasonography-based Fetal Weight Estimation: Finding an Appropriate Model for an Indian Population
title_short Ultrasonography-based Fetal Weight Estimation: Finding an Appropriate Model for an Indian Population
title_sort ultrasonography-based fetal weight estimation: finding an appropriate model for an indian population
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6029285/
https://www.ncbi.nlm.nih.gov/pubmed/30065451
http://dx.doi.org/10.1016/j.jmu.2016.10.006
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