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Mazzone E, Kadji C, Cannie MM, Badr DA, Jani JC. Prediction of large-for-gestational age at 36 weeks' gestation: two-dimensional ultrasound vs three-dimensional ultrasound vs magnetic resonance imaging. ULTRASOUND IN OBSTETRICS & GYNECOLOGY : THE OFFICIAL JOURNAL OF THE INTERNATIONAL SOCIETY OF ULTRASOUND IN OBSTETRICS AND GYNECOLOGY 2024; 63:489-496. [PMID: 37725758 DOI: 10.1002/uog.27485] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Revised: 08/05/2023] [Accepted: 09/08/2023] [Indexed: 09/21/2023]
Abstract
OBJECTIVE To compare the performance of two-dimensional ultrasound (2D-US), three-dimensional ultrasound (3D-US) and magnetic resonance imaging (MRI) at 36 weeks' gestation in predicting the delivery of a large-for-gestational-age (LGA) neonate, defined as birth weight ≥ 95th percentile, in patients at high and low risk for macrosomia. METHODS This was a secondary analysis of a prospective observational study conducted between January 2017 and February 2019. Women with a singleton pregnancy at 36 weeks' gestation underwent 2D-US, 3D-US and MRI within 15 min for estimation of fetal weight. Weight estimations and birth weight were plotted on a growth curve to obtain percentiles for comparison. Participants were considered high risk if they had at least one of the following risk factors: diabetes mellitus, estimated fetal weight ≥ 90th percentile at the routine third-trimester ultrasound examination, obesity (prepregnancy body mass index ≥ 30 kg/m2) or excessive weight gain during pregnancy. The outcome was the diagnostic performance of each modality in the prediction of birth weight ≥ 95th percentile, expressed as the area under the receiver-operating-characteristics curve (AUC), sensitivity, specificity and positive and negative predictive values. RESULTS A total of 965 women were included, of whom 533 (55.23%) were high risk and 432 (44.77%) were low risk. In the low-risk group, the AUCs for birth weight ≥ 95th percentile were 0.982 for MRI, 0.964 for 2D-US and 0.962 for 3D-US; pairwise comparisons were non-significant. In the high-risk group, the AUCs were 0.959 for MRI, 0.909 for 2D-US and 0.894 for 3D-US. A statistically significant difference was noted between MRI and both 2D-US (P = 0.002) and 3D-US (P = 0.002), but not between 2D-US and 3D-US (P = 0.503). In the high-risk group, MRI had the highest sensitivity (65.79%) compared with 2D-US (36.84%, P = 0.002) and 3D-US (21.05%, P < 0.001), whereas 3D-US had the highest specificity (98.99%) compared with 2D-US (96.77%, P = 0.005) and MRI (96.97%, P = 0.004). CONCLUSIONS At 36 weeks' gestation, MRI has better performance compared with 2D-US and 3D-US in predicting birth weight ≥ 95th percentile in patients at high risk for macrosomia, whereas the performance of 2D-US and 3D-US is comparable. For low-risk patients, the three modalities perform similarly. © 2023 International Society of Ultrasound in Obstetrics and Gynecology.
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Affiliation(s)
- E Mazzone
- Department of Obstetrics and Gynecology, University Hospital Brugmann, Université Libre de Bruxelles, Brussels, Belgium
| | - C Kadji
- Department of Obstetrics and Gynecology, University Hospital Brugmann, Université Libre de Bruxelles, Brussels, Belgium
| | - M M Cannie
- Department of Radiology, University Hospital Brugmann, Université Libre de Bruxelles, Brussels, Belgium
- Department of Radiology, UZ Brussel, Vrije Universiteit Brussel, Brussels, Belgium
| | - D A Badr
- Department of Obstetrics and Gynecology, University Hospital Brugmann, Université Libre de Bruxelles, Brussels, Belgium
| | - J C Jani
- Department of Obstetrics and Gynecology, University Hospital Brugmann, Université Libre de Bruxelles, Brussels, Belgium
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Song X, Chen L, Zhang S, Liu Y, Wei J, Wang T, Qin J. Gestational Diabetes Mellitus and High Triglyceride Levels Mediate the Association between Pre-Pregnancy Overweight/Obesity and Macrosomia: A Prospective Cohort Study in Central China. Nutrients 2022; 14:nu14163347. [PMID: 36014853 PMCID: PMC9413229 DOI: 10.3390/nu14163347] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Revised: 08/11/2022] [Accepted: 08/12/2022] [Indexed: 12/20/2022] Open
Abstract
The purpose of this study is to investigate whether the link between pre-pregnancy overweight/obesity and risk of macrosomia is mediated by both gestational diabetes mellitus (GDM) and high maternal triglyceride (mTG) levels. This prospective study finally included 29,415 singleton term pregnancies. The outcome of interest was macrosomia (≥4000 g). High mTG levels were denoted as values ≥90th percentile. GDM was diagnosed using a standard 75 g 2 h oral glucose tolerance test. The mediation analysis was conducted using log-binomial regression while controlling for maternal age, education, parity, gestational weight gain, gestational hypertension, smoking, drinking and infant sex. Overall, 15.9% of pregnant women were diagnosed with GDM, and 4.3% were macrosomia. Mediation analysis suggested that overweight had a total effect of 0.009 (95% CI, 0.006–0.013) on macrosomia, with a direct effect of 0.008 (95% CI, 0.004–0.012) and an indirect effect of 0.001 (95% CI, 0.001–0.002), with an estimated proportion of 11.1% mediated by GDM and high mTG levels together. Furthermore, we also discovered a total effect of obesity on macrosomia of 0.038 (95% CI, 0.030–0.047), consisting of a direct effect of 0.037 (95% CI, 0.028–0.045) and an indirect effect of 0.002 (95% CI, 0.001–0.002), with an estimated proportion of 5.3% mediated by GDM and high mTG levels combined. Both GDM and high mTG levels enhanced the risk of macrosomia independently and served as significant mediators in the relationship between pre-pregnancy overweight/obesity and macrosomia.
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Affiliation(s)
- Xinli Song
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha 410078, China
| | - Letao Chen
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha 410078, China
| | - Senmao Zhang
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha 410078, China
| | - Yiping Liu
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha 410078, China
| | - Jianhui Wei
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha 410078, China
| | - Tingting Wang
- National Health Committee Key Laboratory of Birth Defect for Research and Prevention, Hunan Provincial Maternal and Child Health Care Hospital, Changsha 410028, China
- Correspondence: (T.W.); (J.Q.); Tel.: +86-15273188582 (T.W.); +86-15974269544 (J.Q.)
| | - Jiabi Qin
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha 410078, China
- National Health Committee Key Laboratory of Birth Defect for Research and Prevention, Hunan Provincial Maternal and Child Health Care Hospital, Changsha 410028, China
- Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China
- Hunan Provincial Key Laboratory of Clinical Epidemiology, Changsha 410078, China
- Correspondence: (T.W.); (J.Q.); Tel.: +86-15273188582 (T.W.); +86-15974269544 (J.Q.)
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Song X, Shu J, Zhang S, Chen L, Diao J, Li J, Li Y, Wei J, Liu Y, Sun M, Wang T, Qin J. Pre-Pregnancy Body Mass Index and Risk of Macrosomia and Large for Gestational Age Births with Gestational Diabetes Mellitus as a Mediator: A Prospective Cohort Study in Central China. Nutrients 2022; 14:nu14051072. [PMID: 35268050 PMCID: PMC8912482 DOI: 10.3390/nu14051072] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2022] [Revised: 02/25/2022] [Accepted: 03/02/2022] [Indexed: 02/07/2023] Open
Abstract
This study aimed to examine the risk of macrosomia and large for gestational age (LGA) births in relation to maternal pre-pregnancy body mass index (BMI) status mediated through gestational diabetes mellitus (GDM). This prospective study included 34,104 singleton pregnancies at 8–14 weeks of gestation. The interesting outcomes were macrosomia (≥4000 g) and LGA (≥90th percentile). Mediation analyses were conducted using log-binomial regression adjusted for age, education, parity, fetal sex, and gestational weight gain. The proportion mediated was estimated based on the risk difference scale, and the E-value was utilized to assess potential confounders. Overall, 15.9% of women had GDM, and there were 4.0% macrosomia and 9.9% LGA births. The proportion mediated by GDM on macrosomia was up to 40% among obese women, and the estimate of the total effect was 6.18 (95% CI: 5.26–7.26), of the natural direct effect was 4.10 (95% CI: 3.35–4.99), and of the natural indirect effect was 1.51 (95% CI: 1.31–1.76). Likewise, among overweight women, the proportion mediated by GDM on macrosomia was up to 40%. Furthermore, consistent findings were evident for the outcome of LGA births. Pre-pregnancy overweight/obesity increased the risk of macrosomia and LGA births independently and partly mediated by GDM.
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Affiliation(s)
- Xinli Song
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, 110 Xiangya Road, Changsha 410078, China; (X.S.); (J.S.); (S.Z.); (L.C.); (J.D.); (J.L.); (Y.L.); (J.W.); (Y.L.); (M.S.)
| | - Jing Shu
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, 110 Xiangya Road, Changsha 410078, China; (X.S.); (J.S.); (S.Z.); (L.C.); (J.D.); (J.L.); (Y.L.); (J.W.); (Y.L.); (M.S.)
| | - Senmao Zhang
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, 110 Xiangya Road, Changsha 410078, China; (X.S.); (J.S.); (S.Z.); (L.C.); (J.D.); (J.L.); (Y.L.); (J.W.); (Y.L.); (M.S.)
| | - Letao Chen
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, 110 Xiangya Road, Changsha 410078, China; (X.S.); (J.S.); (S.Z.); (L.C.); (J.D.); (J.L.); (Y.L.); (J.W.); (Y.L.); (M.S.)
| | - Jingyi Diao
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, 110 Xiangya Road, Changsha 410078, China; (X.S.); (J.S.); (S.Z.); (L.C.); (J.D.); (J.L.); (Y.L.); (J.W.); (Y.L.); (M.S.)
| | - Jinqi Li
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, 110 Xiangya Road, Changsha 410078, China; (X.S.); (J.S.); (S.Z.); (L.C.); (J.D.); (J.L.); (Y.L.); (J.W.); (Y.L.); (M.S.)
| | - Yihuan Li
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, 110 Xiangya Road, Changsha 410078, China; (X.S.); (J.S.); (S.Z.); (L.C.); (J.D.); (J.L.); (Y.L.); (J.W.); (Y.L.); (M.S.)
| | - Jianhui Wei
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, 110 Xiangya Road, Changsha 410078, China; (X.S.); (J.S.); (S.Z.); (L.C.); (J.D.); (J.L.); (Y.L.); (J.W.); (Y.L.); (M.S.)
| | - Yiping Liu
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, 110 Xiangya Road, Changsha 410078, China; (X.S.); (J.S.); (S.Z.); (L.C.); (J.D.); (J.L.); (Y.L.); (J.W.); (Y.L.); (M.S.)
| | - Mengting Sun
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, 110 Xiangya Road, Changsha 410078, China; (X.S.); (J.S.); (S.Z.); (L.C.); (J.D.); (J.L.); (Y.L.); (J.W.); (Y.L.); (M.S.)
| | - Tingting Wang
- National Health Committee Key Laboratory of Birth Defect for Research and Prevention, Hunan Provincial Maternal and Child Health Care Hospital, 52 Xiangchun Road, Changsha 410028, China
- Correspondence: (T.W.); (J.Q.); Tel.: +86-15273188582 (T.W.); +86-15974269544 (J.Q.)
| | - Jiabi Qin
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, 110 Xiangya Road, Changsha 410078, China; (X.S.); (J.S.); (S.Z.); (L.C.); (J.D.); (J.L.); (Y.L.); (J.W.); (Y.L.); (M.S.)
- National Health Committee Key Laboratory of Birth Defect for Research and Prevention, Hunan Provincial Maternal and Child Health Care Hospital, 52 Xiangchun Road, Changsha 410028, China
- Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan Second Road, Guangzhou 510080, China
- Hunan Provincial Key Laboratory of Clinical Epidemiology, 110 Xiangya Road, Changsha 410078, China
- Correspondence: (T.W.); (J.Q.); Tel.: +86-15273188582 (T.W.); +86-15974269544 (J.Q.)
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Gembicki M, Offerman DR, Weichert J. Semiautomatic Assessment of Fetal Fractional Limb Volume for Weight Prediction in Clinical Praxis: How Does It Perform in Routine Use? JOURNAL OF ULTRASOUND IN MEDICINE : OFFICIAL JOURNAL OF THE AMERICAN INSTITUTE OF ULTRASOUND IN MEDICINE 2022; 41:355-364. [PMID: 33830545 DOI: 10.1002/jum.15712] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/11/2020] [Revised: 03/15/2021] [Accepted: 03/17/2021] [Indexed: 06/12/2023]
Abstract
OBJECTIVES Semiautomatic fractional limb volume (FLV) models have recently produced promising results for fetal birth weight (BW) estimation. We tested those models in a more unselected population hypothesizing that the FLV models would improve accuracy and precision of fetal BW estimation compared to the Hadlock model. METHODS We compared the performance of different BW prediction models: Hadlock (biparietal diameter [BPD], abdominal circumference (AC), femur diaphysis length) and modified Lee thigh volume (TVol) and arm volume (AVol) (BPD, AC, automated fractional TVol, and AVol). Accuracy (systematic errors, mean percent differences) and precision (random errors, ± 1 SD of percent differences) were calculated. RESULTS A total of 75 fetuses were included for final analysis. The Hadlock model showed the most consistent results with accurate BW estimation not significantly different from zero (-0.37 ± 8.53%). The modified fractional thigh and arm volume models were less accurate but trended toward more precise results (-2.63 ± 7.69% and -3.85 ± 7.47%, respectively). In addition, the modified TVol model showed the trend to predict more BWs within ±10% of the actual BW compared to the Hadlock model (81.3 versus 74.67%, ns). CONCLUSIONS Based on our results, fetal weight estimation using the modified semiautomatic FLV models generates less accurate results in third-trimester fetuses compared to the Hadlock model. Those models recently published might improve the results of BW prediction by showing a higher precision than conventional models, especially in small and large fetuses. Further studies are needed to investigate the clinical usefulness of the new models.
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Affiliation(s)
- Michael Gembicki
- Department of Gynecology and Obstetrics, Division of Prenatal Medicine, University Hospital of Schleswig-Holstein, Luebeck, Germany
| | - David R Offerman
- Department of Gynecology and Obstetrics, Division of Prenatal Medicine, University Hospital of Schleswig-Holstein, Luebeck, Germany
| | - Jan Weichert
- Department of Gynecology and Obstetrics, Division of Prenatal Medicine, University Hospital of Schleswig-Holstein, Luebeck, Germany
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Eze C, Cosmas K, Nwamba J, Upeh E. Validity of sonographic prediction of birth weight: A study of three algorithms in a cohort of healthy pregnant women of Yoruba descent in a suburb of Lagos state, Southwest Nigeria. WEST AFRICAN JOURNAL OF RADIOLOGY 2022. [DOI: 10.4103/wajr.wajr_6_22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Wu X, Niu Z, Xu Z, Jiang Y, Zhang Y, Meng H, Ouyang Y. Fetal weight estimation by automated three-dimensional limb volume model in late third trimester compared to two-dimensional model: a cross-sectional prospective observational study. BMC Pregnancy Childbirth 2021; 21:365. [PMID: 33964891 PMCID: PMC8106859 DOI: 10.1186/s12884-021-03830-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2021] [Accepted: 04/19/2021] [Indexed: 11/25/2022] Open
Abstract
Background Accurate estimation of fetal weight is important for prenatal care and for detection of fetal growth abnormalities. Prediction of fetal weight entails the indirect measurement of fetal biometry by ultrasound that is then introduced into formulae to calculate the estimated fetal weight. The aim of our study was to evaluate the accuracy of fetal weight estimation of Chinese fetuses in the third trimester using an automated three-dimensional (3D) fractional limb volume model, and to compare this model with the traditional two-dimensional (2D) model. Methods Prospective 2D and 3D ultrasonography were performed among women with singleton pregnancies 7 days before delivery to obtain 2D data, including fetal biparietal diameter, abdominal circumference and femur length, as well as 3D data, including the fractional arm volume (AVol) and fractional thigh volume (TVol). The fetal weight was estimated using the 2D model and the 3D fractional limb volume model respectively. Percentage error was defined as (estimated fetal weight - actual birth weight) divided by actual birth weight and multiplied by 100. Systematic errors (accuracy) were evaluated as the mean percentage error (MPE). Random errors (precision) were calculated as ±1 SD of percentage error. The intraclass correlation coefficient (ICC) was used to analyze the inter-observer reliability of the 3D ultrasound measurements of fractional limb volume. Results Ultrasound examination was performed on 56 fetuses at 39.6 ± 1.4 weeks’ gestation. The average birth weight of the newborns was 3393 ± 530 g. The average fetal weight estimated by the 2D model was 3478 ± 467 g, and the MPE was 3.2 ± 8.9. The average fetal weights estimated by AVol and TVol of the 3D model were 3268 ± 467 g and 3250 ± 485 g, respectively, and the MPEs were − 3.3 ± 6.6 and − 3.9 ± 6.1, respectively. For the 3D TVol model, the proportion of fetuses with estimated error ≤ 5% was significantly higher than that of the 2D model (55.4% vs. 33.9%, p < 0.05). For fetuses with a birth weight < 3500 g, the accuracy of the AVol and TVol models were better than the 2D model (− 0.8 vs. 7.0 and − 2.8 vs. 7.0, both p < 0.05). Moreover, for these fetuses, the proportions of estimated error ≤ 5% of the AVol and TVol models were 58.1 and 64.5%, respectively, significantly higher than that of the 2D model (19.4%) (both p < 0.05). The inter-observer reliability of measuring fetal AVol and TVol were high, with the ICCs of 0.921 and 0.963, respectively. Conclusion In this cohort, the automated 3D fractional limb volume model improves the accuracy of weight estimation in most third-trimester fetuses. Prediction accuracy of the 3D model for neonatal BW, particularly < 3500 g was higher than that of the traditional 2D model.
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Affiliation(s)
- Xining Wu
- Department of ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China
| | - Zihan Niu
- Department of ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China
| | - Zhonghui Xu
- Department of ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China
| | - Yuxin Jiang
- Department of ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China
| | - Yixiu Zhang
- Department of ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China
| | - Hua Meng
- Department of ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China.
| | - Yunshu Ouyang
- Department of ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China.
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Predicting fetal weight by three-dimensional limb volume ultrasound (AVol/TVol) and abdominal circumference. Chin Med J (Engl) 2021; 134:1070-1078. [PMID: 33883411 PMCID: PMC8116021 DOI: 10.1097/cm9.0000000000001413] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND Fetal weight is an important parameter to ensure maternal and child safety. The purpose of this study was to use three-dimensional (3D) limb volume ultrasound combined with fetal abdominal circumference (AC) measurement to establish a model to predict fetal weight and evaluate its efficiency. METHODS A total of 211 participants with single pregnancy (28-42 weeks) were selected between September 2017 and December 2018 in the Beijing Obstetrics and Gynecology Hospital of Capital Medical University. The upper arm (AVol)/thigh volume (TVol) of fetuses was measured by the 3D limb volume technique. Fetal AC was measured by two-dimensional ultrasound. Nine cases were excluded due to incomplete information or the interval between examination and delivery >7 days. The enrolled 202 participants were divided into a model group (134 cases, 70%) and a verification group (68 cases, 30%) by mechanical sampling method. The linear relationship between limb volume and fetal weight was evaluated using Pearson Chi-squared test. The prediction model formula was established by multivariate regression with data from the model group. Accuracy of the model formula was evaluated with verification group data and compared with traditional formulas (Hadlock, Lee2009, and INTERGROWTH-21st) by paired t-test and residual analysis. Receiver operating characteristic curves were generated to predict macrosomia. RESULTS AC, AVol, and TVol were linearly related to fetal weight. Pearson correlation coefficient was 0.866, 0.862, and 0.910, respectively. The prediction model based on AVol/TVol and AC was established as follows: Y = -481.965 + 12.194TVol + 15.358AVol + 67.998AC, R2adj = 0.868. The scatter plot showed that when birth weight fluctuated by 5% (i.e., 95% to 105%), the difference between the predicted fetal weight by the model and the actual weight was small. A paired t-test showed that there was no significant difference between the predicted fetal weight and the actual birth weight (t = -1.015, P = 0.314). Moreover, the residual analysis showed that the model formula's prediction efficiency was better than the traditional formulas with a mean residual of 35,360.170. The combined model of AVol/TVol and AC was superior to the Lee2009 and INTERGROWTH-21st formulas in the diagnosis of macrosomia. Its predictive sensitivity and specificity were 87.5% and 91.7%, respectively. CONCLUSION Fetal weight prediction model established by semi-automatic 3D limb volume combined with AC is of high accuracy, sensitivity, and specificity. The prediction model formula shows higher predictive efficiency, especially for the diagnosis of macrosomia. TRIAL REGISTRATION ClinicalTrials.gov, NCT03002246; https://clinicaltrials.gov/ct2/show/NCT03002246?recrs=e&cond=fetal&draw=8&rank=67.
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Garcia Flores J, Mogra R, Sadowski M, Hyett J. Prediction of Birth Weight and Neonatal Adiposity Using Ultrasound Assessment of Soft Tissue Parameters in Addition to Two-Dimensional Conventional Biometry. Fetal Diagn Ther 2021; 48:201-208. [PMID: 33657569 DOI: 10.1159/000510637] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2020] [Accepted: 08/03/2020] [Indexed: 11/19/2022]
Abstract
INTRODUCTION We aim to evaluate the supplementary predictive value of soft tissue markers, including fetal limb volumes, for fetal birth weight and fat tissue weight. METHODS This is a prospective study of 60 patients undergoing term induction of labor. Ultrasound was performed 48 h before birth, and 2D sonographic measurements, subcutaneous tissue thickness, and 3D fetal limb volumes were taken. Birth weight and neonatal fat weight were assessed by plethysmography. Clinical data were collected. The relation between ultrasound and neonatal outcomes was assessed by univariate and multivariate predictive models. The estimated and actual birth weights were compared applying different published formulas, and systematic and random error were collected and compared. RESULTS 3D fetal limb volumes showed a strong relation to birth weight, absolute weight, and relative fat weight. The Lee 6 formula performed better than either Hadlock 3 or Lee 3 with the lowest random error. Fractional limb volumes involve a highly reproducible technique, with excellent correlation (intra-class coefficient >0.90) for both inter- and intra-observer reliability. The prevalence of estimated EFW measures within 10% error from the actual birth weight was 71.7% with the Hadlock 3 model and 95.0% with the Lee 6 model (p = 0.09). CONCLUSION Late assessment of 3D fetal limb volume in upper and lower extremities is not only useful for accurately predicting birth weight but is a useful marker for prediction of birth fat tissue weight.
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Affiliation(s)
- Jose Garcia Flores
- Sydney Institute for Women, Children and Their Families, Royal Prince Alfred Hospital, Sydney, New South Wales, Australia
| | - Ritu Mogra
- Sydney Institute for Women, Children and Their Families, Royal Prince Alfred Hospital, Sydney, New South Wales, Australia, .,Discipline of Obstetrics, Gynaecology and Neonatology, Faculty of Medicine, University of Sydney, Sydney, New South Wales, Australia,
| | - Monica Sadowski
- Sydney Institute for Women, Children and Their Families, Royal Prince Alfred Hospital, Sydney, New South Wales, Australia
| | - Jon Hyett
- Sydney Institute for Women, Children and Their Families, Royal Prince Alfred Hospital, Sydney, New South Wales, Australia.,Discipline of Obstetrics, Gynaecology and Neonatology, Faculty of Medicine, University of Sydney, Sydney, New South Wales, Australia
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Nunes RD, Flôres ME, Seemann M, Traebert E, Traebert J. Two criteria of oral glucose tolerance test to diagnose gestational diabetes mellitus. ACTA ACUST UNITED AC 2020; 66:139-145. [PMID: 32428147 DOI: 10.1590/1806-9282.66.2.139] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2019] [Accepted: 10/07/2019] [Indexed: 12/16/2022]
Abstract
OBJECTIVE To evaluate two different criteria, one or two cut-off values, of oral glucose tolerance test with 75g of glucose for the diagnosis of gestational diabetes mellitus. METHODS A cross-sectional study involving 120 records of pregnant women who received prenatal care at the service of a Brazilian university was carried out. Bivariate analysis of obstetric and perinatal outcomes was performed using the chi-square test. RESULTS Considering criterion I, 12.5% of patients were diagnosed with gestational diabetes mellitus. Patients were 3.57 times more likely to have a large fetus for the gestational age at birth (p=0.038). Using criterion II, gestational diabetes mellitus was diagnosed in 5.8% of patients, macrosomia was 7.73 times more likely to be found in the presence of gestational diabetes mellitus (p=0.004), and a large fetus for the gestational age at birth was 8.17 times more likely (p=0.004). CONCLUSIONS There was a difference in the prevalence of gestational diabetes mellitus between the two criteria analyzed. The new criterion proposed increased prevalence.
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Affiliation(s)
- Rodrigo Dias Nunes
- . Escola de Medicina. Universidade do Sul de Santa Catarina, Palhoça, SC, Brasil.,. Programa de Pós Graduação em Ciência da Saúde. Universidade do Sul de Santa Catarina, Palhoça, SC, Brasil
| | - Mayara Eloisa Flôres
- . Escola de Medicina. Universidade do Sul de Santa Catarina, Palhoça, SC, Brasil
| | - Mayara Seemann
- . Escola de Medicina. Universidade do Sul de Santa Catarina, Palhoça, SC, Brasil
| | - Eliane Traebert
- . Escola de Medicina. Universidade do Sul de Santa Catarina, Palhoça, SC, Brasil.,. Programa de Pós Graduação em Ciência da Saúde. Universidade do Sul de Santa Catarina, Palhoça, SC, Brasil
| | - Jefferson Traebert
- . Escola de Medicina. Universidade do Sul de Santa Catarina, Palhoça, SC, Brasil.,. Programa de Pós Graduação em Ciência da Saúde. Universidade do Sul de Santa Catarina, Palhoça, SC, Brasil
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Mazzone E, Dall'Asta A, Kiener AJO, Carpano MG, Suprani A, Ghi T, Frusca T. Prediction of fetal macrosomia using two-dimensional and three-dimensional ultrasound. Eur J Obstet Gynecol Reprod Biol 2019; 243:26-31. [PMID: 31670065 DOI: 10.1016/j.ejogrb.2019.10.003] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2019] [Revised: 10/02/2019] [Accepted: 10/07/2019] [Indexed: 11/27/2022]
Abstract
OBJECTIVE The estimation of the fetal weight by three-dimensional (3D) ultrasound (US) with fractional thigh volume (TVol) has been suggested to be more accurate than two-dimensional (2D) US particularly within the context of fetuses at risk of macrosomia. The objective of this study was to compare the accuracy of 2D US and 3D US with two different methods of projection for the identification of fetal macrosomia at term. STUDY DESIGN Prospective study which included women at risk for fetal macrosomia referred for fetal biometry between 34+0-36+6 weeks. The estimated fetal weight (EFW) was computed using 2D US and the Hadlock Model IV or through 3D US and the Model VI by Lee et al. The projection of the EFW at the time of delivery was performed by using Yudkin's chart percentiles and the gestation-adjusted projection (GAP) method. RESULTS Overall, 230 patients were included. Paired comparison between 2D-US-EFW and 3D-US-EFW with either method of projection of the EFW at birth suggested different properties of the techniques, being 2D-US-EFW associated with higher sensitivity and 3D-US-EFW with higher specificity, PPV and LR + . At ROC curve no difference was found in the prediction of birthweight ≥90th centile using 2D-US-EFW or 3D-US-EFW (AUC 0.831, 95%CI 0.768-0.894 versus AUC 0.860, 95%CI 0.799-0.920, respectively, p 0.37) nor in the prediction of birthweight >95th centile with 2D-US-EFW compared to 3D-US-EFW (0.803, 95%CI 0.731-0.874 versus 0.866, 95%CI 0.805-0.926, respectively, p 0.07). Similarly, a non-significant difference in the accuracy of the prediction of birthweight >4000 g (AUC 0.788, 95%CI 0.716-0.859 for 2D-US-EFW vs AUC 0.802, 95%CI 0.723-0.880 for 3D-US-EFW, p 0.72) and >4500 g (0.828, 95%CI 0.720-0.936 for 2D-US-EFW vs 0.858, 95%CI 0.759-0.956 for 3D-US-EFW, p 0.71) with the GAP method could be demonstrated. CONCLUSIONS Within a population at risk of fetal macrosomia the performance of 3D-US-EFW is similar to that of 2D-US-EFW in the prediction of macrosomia at term regardless of the method used for the projection of the EFW, however different properties were noted between the two techniques. Such finding suggests a potential complementary role of the techniques which warrants evaluation in future research.
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Affiliation(s)
- Eleonora Mazzone
- Department of Medicine and Surgery, Obstetrics and Gynaecology Unit, University of Parma, Parma, Italy
| | - Andrea Dall'Asta
- Department of Medicine and Surgery, Obstetrics and Gynaecology Unit, University of Parma, Parma, Italy.
| | | | - Maria Giovanna Carpano
- Department of Medicine and Surgery, Obstetrics and Gynaecology Unit, University of Parma, Parma, Italy
| | - Alice Suprani
- Department of Medicine and Surgery, Obstetrics and Gynaecology Unit, University of Parma, Parma, Italy
| | - Tullio Ghi
- Department of Medicine and Surgery, Obstetrics and Gynaecology Unit, University of Parma, Parma, Italy
| | - Tiziana Frusca
- Department of Medicine and Surgery, Obstetrics and Gynaecology Unit, University of Parma, Parma, Italy
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Hehir MP, Burke N, Burke G, Turner MJ, Breathnach FM, Mcauliffe FM, Morrison JJ, Dornan S, Higgins J, Cotter A, Geary MP, Mcparland P, Daly S, Cody F, Dicker P, Tully E, Malone FD. Sonographic markers of fetal adiposity and risk of Cesarean delivery. ULTRASOUND IN OBSTETRICS & GYNECOLOGY : THE OFFICIAL JOURNAL OF THE INTERNATIONAL SOCIETY OF ULTRASOUND IN OBSTETRICS AND GYNECOLOGY 2019; 54:338-343. [PMID: 30887629 DOI: 10.1002/uog.20263] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/11/2018] [Revised: 03/10/2019] [Accepted: 03/12/2019] [Indexed: 06/09/2023]
Abstract
OBJECTIVE Increased fetal size is associated with shoulder dystocia during labor and subsequent need for assisted delivery. We sought to investigate if increased fetal adiposity diagnosed sonographically in late pregnancy is associated with increased risk of operative delivery. METHODS This secondary analysis of the Genesis Study recruited 2392 nulliparous women with singleton pregnancy in cephalic presentation, in a prospective, multicenter study, to examine prenatal and intrapartum predictors of Cesarean delivery. Participants underwent ultrasound and clinical evaluation between 39 + 0 and 40 + 6 weeks' gestation. Data on fetal biometry were not revealed to patients or to their managing clinicians. A fetal adiposity composite of fetal thigh adiposity and fetal abdominal wall thickness was compiled for each infant in order to determine whether fetal adiposity > 90th centile was associated with an increased risk of Cesarean or operative vaginal delivery. RESULTS After exclusions, data were available for 2330 patients. Patients with a fetal adiposity composite > 90th centile had a higher maternal body mass index (BMI) (25 ± 5 kg/m2 vs 24 ± 4 kg/m2 ; P = 0.005), birth weight (3872 ± 417 g vs 3585 ± 401 g; P < 0.0001) and rate of induction of labor (47% (108/232) vs 40% (834/2098); P = 0.048) than did those with an adiposity composite ≤ 90th centile. Fetuses with adiposity composite > 90th centile were more likely to require Cesarean delivery than were those with adiposity composite ≤ 90th centile (P < 0.0001). After adjusting for birth weight, maternal BMI and need for induction of labor, fetal adiposity > 90th centile remained a risk factor for Cesarean delivery (P < 0.0001). A fetal adiposity composite > 90th centile was more predictive of the need for unplanned Cesarean delivery than was an estimated fetal weight > 90th centile (odds ratio, 2.20 (95% CI, 1.65-2.94; P < 0.001) vs 1.74 (95% CI, 1.29-2.35; P < 0.001). Having an adiposity composite > 90th centile was not associated with an increased likelihood of operative vaginal delivery when compared with having an adiposity composite ≤ 90th centile (P = 0.37). CONCLUSIONS Fetuses with increased adipose deposition are more likely to require Cesarean delivery than are those without increased adiposity. Consideration should, therefore, be given to adding fetal thigh adiposity and abdominal wall thickness to fetal sonographic assessment in late pregnancy. Copyright © 2019 ISUOG. Published by John Wiley & Sons Ltd.
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Affiliation(s)
- M P Hehir
- Royal College of Surgeons in Ireland, Rotunda Hospital, Dublin, Ireland
| | - N Burke
- Rotunda Hospital, Dublin, Ireland
| | - G Burke
- Department of Obstetrics and Gynaecology, Graduate Entry Medical School, University of Limerick, Limerick, Ireland
| | - M J Turner
- University College Dublin Centre for Human Reproduction, School of Medicine and Medical Science, Coombe Women and Infants Maternity Hospital, Dublin, Ireland
| | - F M Breathnach
- Royal College of Surgeons in Ireland, Rotunda Hospital, Dublin, Ireland
| | - F M Mcauliffe
- UCD Perinatal Research Centre, School of Medicine, University College Dublin, National Maternity Hospital, Dublin, Ireland
| | - J J Morrison
- Department of Obstetrics and Gynaecology, National University of Ireland, Galway, Ireland
| | - S Dornan
- Royal Jubilee Maternity Hospital, Belfast, Ireland
| | - J Higgins
- University College Cork, Cork University Maternity Hospital, Cork, Ireland
| | - A Cotter
- Department of Obstetrics and Gynaecology, Graduate Entry Medical School, University of Limerick, Limerick, Ireland
| | | | - P Mcparland
- National Maternity Hospital, Dublin, Ireland
| | - S Daly
- Coombe Women and Infants Maternity Hospital, Dublin, Ireland
| | - F Cody
- Rotunda Hospital, Dublin, Ireland
| | - P Dicker
- Epidemiology & Public Health, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - E Tully
- Rotunda Hospital, Dublin, Ireland
| | - F D Malone
- Royal College of Surgeons in Ireland, Rotunda Hospital, Dublin, Ireland
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O'Brien CM, Louise J, Deussen A, Dodd JM. In overweight and obese women, fetal ultrasound biometry accurately predicts newborn measures. Aust N Z J Obstet Gynaecol 2019; 60:101-107. [PMID: 31292955 DOI: 10.1111/ajo.13025] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2019] [Accepted: 05/27/2019] [Indexed: 11/26/2022]
Abstract
INTRODUCTION The aim of this study was to evaluate the association between fetal ultrasound and newborn biometry and adiposity measures in the setting of maternal obesity. MATERIAL AND METHODS The study population involved 845 overweight or obese pregnant women, who participated in the Standard Care Group of the LIMIT randomised trial (ACTRN12607000161426, 9/03/2007). At 36 weeks gestation, fetal biometry, estimated fetal weight (EFW) and adiposity measures including mid-thigh fat mass (MTFM), subscapular fat mass (SSFM), and abdominal fat mass (AFM) were undertaken using ultrasound. Neonatal anthropometric measurements obtained after birth included birthweight, head circumference (HC), abdominal circumference (AC) and skinfold thickness measurements (SFTM) of the subscapular region and abdomen. RESULTS At 36 weeks gestation, every 1 g increase in EFW was associated with a 0.94 g increase in birthweight (95% CI 0.88-0.99; P < 0.001). For every 1 mm increase in the fetal ultrasound measure, there was a 0.69 mm increase in birth HC (95% CI 0.63-0.75, P < 0.001) and 0.69 mm increase in birth AC (95% CI 0.60-0.79, P < 0.001). Subscapular fat mass in the fetus and the newborn (0.29 mm, 95% CI 0.20-0.39, P < 0.001) were moderately associated, but AFM measurements were not (0.06 mm, -0.03 to 0.15, P = 0.203). There is no evidence that these relationships differed by maternal body mass index. CONCLUSION In women who are overweight or obese, fetal ultrasound accurately predicts neonatal HC and AC along with birthweight.
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Affiliation(s)
- Cecelia M O'Brien
- School of Paediatrics and Reproductive Health, and Robinson Research Institute, University of Adelaide, Adelaide, South Australia, Australia
| | - Jennie Louise
- School of Paediatrics and Reproductive Health, and Robinson Research Institute, University of Adelaide, Adelaide, South Australia, Australia.,School of Public Health, University of Adelaide, Adelaide, South Australia, Australia
| | - Andrea Deussen
- School of Paediatrics and Reproductive Health, and Robinson Research Institute, University of Adelaide, Adelaide, South Australia, Australia
| | - Jodie M Dodd
- School of Paediatrics and Reproductive Health, and Robinson Research Institute, University of Adelaide, Adelaide, South Australia, Australia.,Women's and Babies Division, Department of Perinatal Medicine, Women's and Children's Hospital, Adelaide, South Australia, Australia
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O'Brien CM, Louise J, Deussen A, Grivell R, Dodd JM. The effect of maternal obesity on fetal biometry, body composition, and growth velocity. J Matern Fetal Neonatal Med 2018; 33:2216-2226. [PMID: 30394153 DOI: 10.1080/14767058.2018.1543658] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
Introduction: The aim of this secondary analysis was to investigate the relationship between maternal body mass index (BMI) and fetal biometry, body composition, and velocity measurements at 28 and 36 weeks gestation.Materials and methods: The current analysis involves 911 overweight or obese women who were randomized to the Standard Care group of the LIMIT randomized trial.Results: The fetus of women with Class 3 obesity (BMI ≥ 40.0) showed the greatest increase in all biometry z-scores, abdominal area (AA), and abdominal fat mass (AFM) compared with women classified as overweight (BMI 25.0-29.9). In women with Class 3 obesity, AA velocity was increased by 0.035 cm2 (0.004, 0.066, p = .029) and the z-score velocity was increased by 0.238 (0.022, 0.453, p = .03). Estimated fetal weight (EFW) velocity for women with Class 3 obesity was higher than that of overweight women by 2.028 g per day (0.861, 3.196, p<.001) and the z-score velocity was also higher by 0.441 per day (0.196, 0.687, p < .001).Conclusions: Maternal obesity is associated with an increase in fetal abdominal circumference, AFM and area along with EFW velocity over time. Women with Class 3 obesity (BMI ≥ 40.0) may represent a higher risk group for perpetuating the intergenerational transmission of obesity to their offspring.
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Affiliation(s)
- Cecelia M O'Brien
- Discipline of Obstetrics and Gynaecology, Robinson Research Institute, University of Adelaide, Adelaide, Australia
| | - Jennie Louise
- Discipline of Obstetrics and Gynaecology, Robinson Research Institute, University of Adelaide, Adelaide, Australia.,Adelaide Health Technology Assessment, Faculty of Health Sciences, University of Adelaide, Adelaide, Australia
| | - Andrea Deussen
- Discipline of Obstetrics and Gynaecology, Robinson Research Institute, University of Adelaide, Adelaide, Australia
| | - Rosalie Grivell
- Discipline of Obstetrics and Gynaecology, Robinson Research Institute, University of Adelaide, Adelaide, Australia.,Discipline of Obstetrics, Gynaecology and Reproductive Medicine Flinders Medical Centre, Adelaide, Australia
| | - Jodie M Dodd
- Discipline of Obstetrics and Gynaecology, Robinson Research Institute, University of Adelaide, Adelaide, Australia.,Department of Perinatal Medicine, Women's and Babies Division, Women's and Children's Hospital, Adelaide, Australia
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Schaefer-Graf U, Napoli A, Nolan CJ. Diabetes in pregnancy: a new decade of challenges ahead. Diabetologia 2018; 61:1012-1021. [PMID: 29356835 PMCID: PMC6448995 DOI: 10.1007/s00125-018-4545-y] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/16/2017] [Accepted: 11/21/2017] [Indexed: 01/13/2023]
Abstract
Every 10 years, the Diabetic Pregnancy Study Group, a study group of the EASD, conducts an audit meeting to review the achievements of the preceding decade and to set the directions for research and clinical practice improvements for the next decade. The most recent meeting focused on the following areas: improving pregnancy outcomes for women with pregestational type 1 diabetes and type 2 diabetes; the influence of obesity and gestational diabetes on pregnancy outcomes; the determinants and assessment of fetal growth and development; and public health issues, including consideration of transgenerational consequences and economic burden. The audit meeting also considered the likely impact of 'omics' on research within the field and the potential of these technologies to enable precision-medicine approaches to management. Through sharing of the findings and ideas of audit meeting participants, the DPSG hopes to promote networking, research and advances in clinical care, to improve outcomes for all women and their offspring affected by diabetes and obesity in pregnancy.
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Affiliation(s)
- Ute Schaefer-Graf
- Berlin Center for Diabetes in Pregnancy, Department of Obstetrics and Gynecology, St Joseph's Hospital, Wüsthoffstraße 15, 12101, Berlin, Germany.
- Department of Obstetrics, Charité, Humboldt University, Berlin, Germany.
| | - Angela Napoli
- Department of Clinical and Molecular Medicine, Sant'Andrea Hospital, Faculty of Medicine and Psychology, Sapienza University, Rome, Italy
| | - Christopher J Nolan
- Department of Endocrinology, The Canberra Hospital, Garran, ACT, Australia
- Australian National University Medical School and John Curtin School of Medical Research, Australian National University, Acton, ACT, Australia
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Kadji C, Bevilacqua E, Hurtado I, Carlin A, Cannie MM, Jani JC. Comparison of conventional 2D ultrasound to magnetic resonance imaging for prenatal estimation of birthweight in twin pregnancy. Am J Obstet Gynecol 2018; 218:128.e1-128.e11. [PMID: 29045850 DOI: 10.1016/j.ajog.2017.10.009] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2017] [Revised: 09/29/2017] [Accepted: 10/06/2017] [Indexed: 12/20/2022]
Abstract
BACKGROUND During prenatal follow-up of twin pregnancies, accurate identification of birthweight and birthweight discordance is important to identify the high-risk group and plan perinatal care. Unfortunately, prenatal evaluation of birthweight discordance by 2-dimensional ultrasound has been far from optimal. OBJECTIVE The objective of the study was to prospectively compare estimates of fetal weight based on 2-dimensional ultrasound (ultrasound-estimated fetal weight) and magnetic resonance imaging (magnetic resonance-estimated fetal weight) with actual birthweight in women carrying twin pregnancies. STUDY DESIGN Written informed consent was obtained for this ethics committee-approved study. Between September 2011 and December 2015 and within 48 hours before delivery, ultrasound-estimated fetal weight and magnetic resonance-estimated fetal weight were conducted in 66 fetuses deriving from twin pregnancies at 34.3-39.0 weeks; gestation. Magnetic resonance-estimated fetal weight derived from manual measurement of fetal body volume. Comparison of magnetic resonance-estimated fetal weight and ultrasound-estimated fetal weight measurements vs birthweight was performed by calculating parameters as described by Bland and Altman. Receiver-operating characteristic curves were constructed for the prediction of small-for-gestational-age neonates using magnetic resonance-estimated fetal weight and ultrasound-estimated fetal weight. For twins 1 and 2 separately, the relative error or percentage error was calculated as follows: (birthweight - ultrasound-estimated fetal weight (or magnetic resonance-estimated fetal weight)/birthweight) × 100 (percentage). Furthermore, ultrasound-estimated fetal weight, magnetic resonance-estimated fetal weight, and birthweight discordance were calculated as 100 × (larger estimated fetal weight-smaller estimated fetal weight)/larger estimated fetal weight. The ultrasound-estimated fetal weight discordance and the birthweight discordance were correlated using linear regression analysis and Pearson's correlation coefficient. The same was done between the magnetic resonance-estimated fetal weight and birthweight discordance. To compare data, the χ2, McNemar test, Student t test, and Wilcoxon signed rank test were used as appropriate. We used the Fisher r-to-z transformation to compare correlation coefficients. RESULTS The bias and the 95% limits of agreement of ultrasound-estimated fetal weight are 2.99 (-19.17% to 25.15%) and magnetic resonance-estimated fetal weight 0.63 (-9.41% to 10.67%). Limits of agreement were better between magnetic resonance-estimated fetal weight and actual birthweight as compared with the ultrasound-estimated fetal weight. Of the 66 newborns, 27 (40.9%) were of weight of the 10th centile or less and 21 (31.8%) of the fifth centile or less. The area under the receiver-operating characteristic curve for prediction of birthweight the 10th centile or less by prenatal ultrasound was 0.895 (P < .001; SE, 0.049), and by magnetic resonance imaging it was 0.946 (P < .001; SE, 0.024). Pairwise comparison of receiver-operating characteristic curves showed a significant difference between the areas under the receiver-operating characteristic curves (difference, 0.087, P = .049; SE, 0.044). The relative error for ultrasound-estimated fetal weight was 6.8% and by magnetic resonance-estimated fetal weight, 3.2% (P < .001). When using ultrasound-estimated fetal weight, 37.9% of fetuses (25 of 66) were estimated outside the range of ±10% of the actual birthweight, whereas this dropped to 6.1% (4 of 66) with magnetic resonance-estimated fetal weight (P < .001). The ultrasound-estimated fetal weight discordance and the birthweight discordance correlated significantly following the linear equation: ultrasound-estimated fetal weight discordance = 0.03 + 0.91 × birthweight (r = 0.75; P < .001); however, the correlation was better with magnetic resonance imaging: magnetic resonance-estimated fetal weight discordance = 0.02 + 0.81 × birthweight (r = 0.87; P < .001). CONCLUSION In twin pregnancies, magnetic resonance-estimated fetal weight performed immediately prior to delivery is more accurate and predicts small-for-gestational-age neonates significantly better than ultrasound-estimated fetal weight. Prediction of birthweight discordance is better with magnetic resonance imaging as compared with ultrasound.
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Mack LM, Kim SY, Lee S, Sangi-Haghpeykar H, Lee W. Automated Fractional Limb Volume Measurements Improve the Precision of Birth Weight Predictions in Late Third-Trimester Fetuses. JOURNAL OF ULTRASOUND IN MEDICINE : OFFICIAL JOURNAL OF THE AMERICAN INSTITUTE OF ULTRASOUND IN MEDICINE 2017; 36:1649-1655. [PMID: 28439966 DOI: 10.7863/ultra.16.08087] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/30/2016] [Accepted: 10/24/2016] [Indexed: 06/07/2023]
Abstract
OBJECTIVES Fetal soft tissue can be assessed by using fractional limb volume as a proxy for in utero nutritional status. We investigated automated fractional limb volume for rapid estimate fetal weight assessment. METHODS Pregnant women were prospectively scanned for 2- and 3-dimensional fetal biometric measurements within 4 days of delivery. Performance of birth weight prediction models was compared: (1) Hadlock (Am J Obstet Gynecol 1985; 151:333-337; biparietal diameter, abdominal circumference, and femur diaphysis length); and (2) Lee (Ultrasound Obstet Gynecol 2009; 34:556-565; biparietal diameter, abdominal circumference, and automated fractional limb volume). Percent differences were calculated: [(estimated birth weight - actual birth weight) ÷ (actual birth weight] × 100. Systematic errors (accuracy) were summarized as signed mean percent differences. Random errors (precision) were calculated as ± 1 SD of percent differences. RESULTS Fifty neonates were delivered at 39.4 weeks' gestation. The Hadlock model generated the most accurate birth weight (0.31%) with a mean random error of ±7.9%. Despite systematic underestimations, the most precise results occurred with fractional arm volume (-9.1% ± 5.1%) and fractional thigh (-5.2% ± 5.2%) models. The size and distribution of these prediction errors were improved after correction for systematic errors. CONCLUSIONS Automated fractional limb volume measurements can improve the precision of weight predictions in third-trimester fetuses. Correction factors may be necessary to adjust underestimated systematic errors when using automated fractional limb volume with prediction models that are based on manual tracing of fetal limb soft tissue borders.
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Affiliation(s)
- Lauren M Mack
- Department of Obstetrics and Gynecology, Baylor College of Medicine, Houston, Texas, USA
| | - Sung Yoon Kim
- Samsung Medison Research and Development Center, Seoul, Korea
| | - Sungmin Lee
- Samsung Medison Clinical Research Team, Seoul, Korea
| | - Haleh Sangi-Haghpeykar
- Department of Obstetrics and Gynecology, Baylor College of Medicine, Houston, Texas, USA
| | - Wesley Lee
- Department of Obstetrics and Gynecology, Baylor College of Medicine, Houston, Texas, USA
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Andescavage NN, DuPlessis A, McCarter R, Vezina G, Robertson R, Limperopoulos C. Cerebrospinal Fluid and Parenchymal Brain Development and Growth in the Healthy Fetus. Dev Neurosci 2017; 38:420-429. [PMID: 28315866 DOI: 10.1159/000456711] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2016] [Accepted: 01/17/2017] [Indexed: 01/26/2023] Open
Abstract
OBJECTIVE The objective of this study was to apply quantitative magnetic resonance imaging to characterize absolute cerebrospinal fluid (CSF) development, as well as its relative development to fetal brain parenchyma in the healthy human fetus. DESIGN We created three-dimensional high-resolution reconstructions of the developing brain for healthy fetuses between 18 and 40 weeks' gestation, segmented the parenchymal and CSF spaces, and calculated the volumes for the lateral, third, and fourth ventricles; extra-axial CSF space; and the cerebrum, cerebellum, and brainstem. From these data, we constructed normograms of the resulting volumes according to gestational age and described the relative development of CSF to fetal brain parenchyma. RESULTS Each CSF space demonstrated major increases in volumetric growth during the second half of gestation: third ventricle (23-fold), extra-axial CSF (11-fold), fourth ventricle (8-fold), and lateral ventricle (2-fold). Total CSF volume was related to total brain volume (p < 0.01), as was lateral ventricle to cerebral volume (p < 0.01); however, the fourth ventricle was not related to cerebellar or brainstem volume (p = 0.18-0.19). RELEVANCE Abnormalities of the CSF spaces are the most common anomalies of neurologic development detected on fetal screening using neurosonography. Normative values of absolute CSF volume, as well as relative growth in comparison to intracranial parenchyma, provide valuable insight into normal fetal neurodevelopment. These data may provide important biomarkers of early deviations from normal growth, better distinguish between benign variants and early disease, and serve as reference standards for postnatal growth and development in the premature infant.
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O'brien CM, Poprzeczny A, Dodd JM. Implications of maternal obesity on fetal growth and the role of ultrasound. Expert Rev Endocrinol Metab 2017; 12:45-58. [PMID: 30058877 DOI: 10.1080/17446651.2017.1271707] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Over fifty percent of women entering pregnancy are overweight or obese. This has a significant impact on short and long term maternal and infant health outcomes, and the intergenerational effects of obesity are now a major public health problem globally. Areas covered: There are two major pathways contributing to fetal growth. Glucose and insulin directly affect growth, while other substrates such as leptin, adiponectin and insulin-like growth factors indirectly influence growth through structural and morphological effects on the placenta, uteroplacental blood flow, and regulation of placental transporters. Advances in ultrasonography over the past decade have led to interest in the prediction of the fetus at risk of overgrowth and adiposity utilizing both standard ultrasound biometry and fetal body composition measurements. However, to date there is no consensus regarding the definition of fetal overgrowth, its reporting, and clinical management. Expert commentary: Maternal dietary intervention targeting the antenatal period appear to be too late to sufficiently affect fetal growth. The peri-conceptual period and early pregnancy are being evaluated to determine if the intergenerational effects of maternal obesity can be altered to improve newborn, infant and child health.
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Affiliation(s)
- Cecelia M O'brien
- a School of Paediatrics and Reproductive Health, and Robinson Research Institute , University of Adelaide , Adelaide , Australia
- b Maternal Fetal Medicine Unit , John Hunter Hospital , Newcastle , Australia
| | - Amanda Poprzeczny
- a School of Paediatrics and Reproductive Health, and Robinson Research Institute , University of Adelaide , Adelaide , Australia
- c Department of Obstetrics and Gynaecology , Lyell McEwin Hospital , Adelaide , Australia
| | - Jodie M Dodd
- a School of Paediatrics and Reproductive Health, and Robinson Research Institute , University of Adelaide , Adelaide , Australia
- d Department of Perinatal Medicine, Women's and Babies Division , Women's and Children's Hospital , Adelaide , Australia
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