Detection of Intrauterine Growth Retardation Using Fetal Abdominal Circumference

Nithya, J.; Madheswaran, M.

doi:10.1109/icctd.2009.213

Cited by 9 publications

(5 citation statements)

References 12 publications

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“…1(a) and (b)]. However, the task of segmenting the abdomen is more challenging and only few works have attempted it up-to-date [14], [20], [21]. General methods retrieving all standard fetal biometric measurements used in antenatal clinical practice are limited [22], [23], [4], [24].…”

Section: Introductionmentioning

confidence: 99%

Evaluation and Comparison of Current Fetal Ultrasound Image Segmentation Methods for Biometric Measurements: A Grand Challenge

Rueda

Fathima

Knight

et al. 2014

IEEE Trans. Med. Imaging

154

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This paper presents the evaluation results of the methods submitted to Challenge US: Biometric Measurements from Fetal Ultrasound Images, a segmentation challenge held at the IEEE International Symposium on Biomedical Imaging 2012. The challenge was set to compare and evaluate current fetal ultrasound image segmentation methods. It consisted of automatically segmenting fetal anatomical structures to measure standard obstetric biometric parameters, from 2D fetal ultrasound images taken on fetuses at different gestational ages (21 weeks, 28 weeks, and 33 weeks) and with varying image quality to reflect data encountered in real clinical environments. Four independent sub-challenges were proposed, according to the objects of interest measured in clinical practice: abdomen, head, femur, and whole fetus. Five teams participated in the head sub-challenge and two teams in the femur sub-challenge, including one team who tackled both. Nobody attempted the abdomen and whole fetus sub-challenges. The challenge goals were two-fold and the participants were asked to submit the segmentation results as well as the measurements derived from the segmented objects. Extensive quantitative (region-based, distance-based, and Bland-Altman measurements) and qualitative evaluation was performed to compare the results from a representative selection of current methods submitted to the challenge. Several experts (three for the head sub-challenge and two for the femur sub-challenge), with different degrees of expertise, manually delineated the objects of interest to define the ground truth used within the evaluation framework. For the head sub-challenge, several groups produced results that could be potentially used in clinical settings, with comparable performance to manual delineations. The femur sub-challenge had inferior performance to the head sub-challenge due to the fact that it is a harder segmentation problem and that the techniques presented relied more on the femur's appearance.

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Section: Introductionmentioning

confidence: 99%

Evaluation and Comparison of Current Fetal Ultrasound Image Segmentation Methods for Biometric Measurements: A Grand Challenge

Rueda

Fathima

Knight

et al. 2014

IEEE Trans. Med. Imaging

154

View full text Add to dashboard Cite

show abstract

“…The image gradient-based method showed stable performance for high-contrast HC and FL environments, which AC measurements were considered more challenging because fetal abdomen had low environmental contrast, non-uniform contrast, and irregular shape on ultrasound images. Therefore, among biometric measurements, AC was the most predictive of fetal weight, whereas variations in AC measurements led to significant differences in EFW [7]. Abdella et al in their study also found that AC can be used as a single marker in diagnosing macrosomia [8].…”

Section: Introductionmentioning

confidence: 90%

Sensitivity and Specificity of Abdominal Circumference as Single Marker in Predicting Macrosomia at Haji Adam Malik Hospital Medan 2017-2021

Marpaung,

Yovita,

Faradina

et al. 2023

Open Access Maced J Med Sci

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BACKGROUND: Macrosomia incidence rate seems continue to increase, especially in Indonesia with a fairly high incidence rate, macrosomia is associated with adverse complications; therefore, early detection is recommended so that optimal management can be determined. At present, abdominal circumferences are considered as most predictive of fetal weight and expected to be used for macrosomia screening. AIM: This research purpose was to determine sensitivity and specificity of Abdominal Circumference (AC) as a single marker in predicting macrosomia at Haji Adam Malik Hospital Medan 2017–2021. METHODS: This research is an analytical study with diagnostic test of secondary data from medical records on February 7, 2022–April 30, 2022. Research sample was pregnant women with macrosomia or non-macrosomia fetuses who gave birth in obstetrics department at H. Adam Malik Hospital Medan and met inclusion criteria. Calculation sensitivity and specificity of AC values was carried out to diagnose macrosomia. An analysis of area under the curve (AUC) curve will be carried out to determine cut off AC value in diagnosing macrosomia. RESULTS: Based on ROC curve, AUC is 0.923 which means AC can diagnose macrosomia by 92.3%. After calculation of sensitivity and specificity values, it was found that AC value with cut off 34.56 had sensitivity 83% and specificity 89% in predicting macrosomia. CONCLUSION: AC measurement is considered most effective method for predict baby’s birth weight with fairly good level of sensitivity (83%) and specificity (89%).

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“…After applying the above method, the fetal weight is estimated using the abdominal circumference; the comparison between the accuracy of the automatic and manual measurements were presented [ 53 ]. Further, a GVF snake is reported by Nithya and Madheswaran [ 54 ] to form or extract the contour of the abdominal circumference. The value of the abdominal circumference is used to detect the intrauterine growth retarded (IUGR) fetus.…”

Section: Extraction Of Fetal Parameters By Segmentation Techniquesmentioning

confidence: 99%

Automated Techniques for the Interpretation of Fetal Abnormalities: A Review

Rawat¹,

Jain²,

Shrimali³

2018

Applied Bionics and Biomechanics

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Ultrasound (US) image segmentation methods, focusing on techniques developed for fetal biometric parameters and nuchal translucency, are briefly reviewed. Ultrasound medical images can easily identify the fetus using segmentation techniques and calculate fetal parameters. It can timely find the fetal abnormality so that necessary action can be taken by the pregnant woman. Firstly, a detailed literature has been offered on fetal biometric parameters and nuchal translucency to highlight the investigation approaches with a degree of validation in diverse clinical domains. Then, a categorization of the bibliographic assessment of recent research effort in the segmentation field of ultrasound 2D fetal images has been presented. The fetal images of high-risk pregnant women have been taken into the routine and continuous monitoring of fetal parameters. These parameters are used for detection of fetal weight, fetal growth, gestational age, and any possible abnormality detection.

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Detection of Intrauterine Growth Retardation Using Fetal Abdominal Circumference

Cited by 9 publications

References 12 publications

Evaluation and Comparison of Current Fetal Ultrasound Image Segmentation Methods for Biometric Measurements: A Grand Challenge

Evaluation and Comparison of Current Fetal Ultrasound Image Segmentation Methods for Biometric Measurements: A Grand Challenge

Sensitivity and Specificity of Abdominal Circumference as Single Marker in Predicting Macrosomia at Haji Adam Malik Hospital Medan 2017-2021

Automated Techniques for the Interpretation of Fetal Abnormalities: A Review

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