Amniotic Fluid Volume Assessment Using the Single Deepest Pocket Technique in Bangladesh

Rashid, Sabrina Q.

doi:10.1016/j.jmu.2013.10.011

Cited by 8 publications

(10 citation statements)

References 6 publications

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“…For numerous pregnancies, especially dizygotic ones, it is also the sole quantitative approach available. In comparison to AFI, the AFV assessment by SDP is more accurate and results in fewer caesarean section deliveries, with no increase in morbidity or mortality, according to a large study (3) .…”

Section: Introductionmentioning

confidence: 96%

“…Oligohydramnios is usually diagnosed if the amniotic sac is less than 2 cm in diameter. The amniotic fluid index (AFI) is calculated by summing the amniotic fluid in each of the four quadrants of the uterus (3) . SDP equals or more than 8 cm and AFI equals or more than 25 cm, both of which surpass the 95 th percentile of their respective gestational age dependent reference ranges, or the extremely subjective feeling of a polyhydramnios might be used to describe it (4) .…”

Section: Introductionmentioning

confidence: 99%

“…When it comes to measuring AFV during fetal surveillance, the SDVP measurement appears to be the best option. The recommendation that only one method be utilized for fetal evaluation testing is also rational (3) .…”

Section: Introductionmentioning

confidence: 99%

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Sonography Assessment of Amniotic Fluid Volume as a Predictor of Fetal Outcome in Low-Risk Pregnancy

Elsadek¹,

Atef²,

Salama³

et al. 2022

The Egyptian Journal of Hospital Medicine

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Background: An essential component of the amniotic sac, amniotic fluid (AF) aids in the growth of the developing fetus. The volume of amniotic fluid (AFV) can be measured using a variety of methods. Objective: To determine which is better in assessment of amniotic fluid volume, amniotic fluid index technique (AFI) or single deepest vertical pocket technique (SDVP) for prediction of fetal outcome in low-risk pregnancies. Patients and Methods: This work is a randomized comparative trial done at Zagazig University Hospitals on 240 pregnant women. Group (A): (Amniotic fluid index group); 120 women. Group (B): (Single deepest pocket group); 120 women. Ultrasound was used to measure amniotic fluid either by AFI or SDP methods. Cardiotocography (CTG) was used to observe fetus intrapartum and Apgar score was used to assess infant post-partum. Results: mean AFI was 8.8 cm in group A, mean SDP was 3.8 in group B. There was high statistically significant difference between study groups in amniotic fluid assessment. A group had significantly more oligohydramnios than B group. There was high statistically significant difference between study groups in CTG assessment of oligohydramnios cases. Oligohydramnios cases in A group had significantly more reassuring CTG than oligohydramnios cases in B group. In the A group, the difference between normal and abnormal AF was highly statistically significant. Conclusion: Oligohydramnios and labour inductions for oligohydramnios were increased by using the AFI method, however perinatal outcomes did not improve. Therefore, the SDP approach is the best way for determining amniotic fluid volume.

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Section: Introductionmentioning

confidence: 96%

Section: Introductionmentioning

confidence: 99%

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Sonography Assessment of Amniotic Fluid Volume as a Predictor of Fetal Outcome in Low-Risk Pregnancy

Elsadek¹,

Atef²,

Salama³

et al. 2022

The Egyptian Journal of Hospital Medicine

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“…Meanwhile, an excess amount of this fluid (polyhydramnios) leads to pre-mature labor, fetal macrosomia, fetal malposition, and increased risk of pregnancy disorders [3]. Therefore, in order to detect these conditions, the doctor uses the Single Deep Pocket (SDP) [4], to measure the vertical dimensions or perpendicular pull in the largest uterine quadrant or Maxima Vertical Pocket of pregnant women [5]. The initial stage of the SDP method is used to determine the deepest side of the area.…”

Section: Introductionmentioning

confidence: 99%

Pixel Classification Based on Local Gray Level Rectangle Window Sampling for Amniotic Fluid Segmentation

Ayu¹,

Hartati²

2021

IJIES

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This study analyses the use of a pixel classification model to segment amniotic fluid areas on ultrasound (US) images characterized by noise, blurry edge, artifacts, and low contrast. In contrast with the previous methods, this study constrains a training set of pixels based on neighbourhood information with the rectangle window sampling method used to determine the characteristics of each pixel in its environment specifically. The feature extraction is no longer based on the global characteristics of the object rather by taking the value of each pixel in the object area using the sampling window. This research also combines the local first-order statistical methods and gray level information in the window to obtain the characteristics of each pixel. Furthermore, Random Forest and Decision Tree (C.45) were used to classify each pixel into four classes, namely amniotic fluid, placenta, uterus, and fetal body. The classification performance testing of pixel sampling data showed that the Random forest with 5 × 7 window sizes achieved the highest performance at 99.5% accuracy, precision, and recall, respectively. Furthermore, the proposed model was evaluated using 50 new test US images to segment the amniotic fluid area. According to experimental result, proposed models can produce better segmentation area with an increase in the IoU value by 18.3% or a Jaccard coefficient value rate of 0.183 in the range of 0-1 with the previous state of the art method. Furthermore, the proposed model reduces the error rate and improves accuracy by 6.61% and 84.77%, respectively.

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“…It can be used to determine amniotic fluid volume by measuring either the amniotic fluid index or single deepest vertical pocket. 1 Adequate amniotic fluid volume (AFV) is necessary for fetal growth monitoring and wellbeing and its assessment is taken as an important variable in fetal biophysical profile 2. Abnormal amount or appearance of fluid could be an indirect sign of fetal hypoxia, neural tube defect and can help in making pregnancy management decision. 3 Single deepest pocket provides quick assessment of AFV, as it consumes less time.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Amniotic Fluid Volume using Single Deepest Pocket Method

Menon¹,

Biradar²,

Braggs³

et al. 2019

IJCMSR

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Amniotic Fluid Volume Assessment Using the Single Deepest Pocket Technique in Bangladesh

Cited by 8 publications

References 6 publications

Sonography Assessment of Amniotic Fluid Volume as a Predictor of Fetal Outcome in Low-Risk Pregnancy

Sonography Assessment of Amniotic Fluid Volume as a Predictor of Fetal Outcome in Low-Risk Pregnancy

Pixel Classification Based on Local Gray Level Rectangle Window Sampling for Amniotic Fluid Segmentation

Evaluation of Amniotic Fluid Volume using Single Deepest Pocket Method

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