A direct method for ultrasound prediction of day of delivery: a new, population‐based approach

Gjessing, Håkon K.; Grøttum, Per; Eik‐Nes, S. H.

doi:10.1002/uog.4053

Cited by 53 publications

(67 citation statements)

References 32 publications

(43 reference statements)

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“…All study participants were scheduled for a visit between gestational week 11+0 and 13+6 based on previous ultrasound scans or the last menstrual period. 121 Women who were para ≤ 1 without previous preeclampsia or gestational hypertension, or were using aspirin or low molecular heparin were not eligible for inclusion.…”

mentioning

confidence: 99%

“…Estimated date of delivery and gestational age at delivery was based on a second trimester routine ultrasound examination. 121 If spontaneous abortion or termination of pregnancy occurred after the study visit and before the second trimester routine ultrasound, gestational age was based on crown-rump length measurements. For estimation of weight deviation at birth, the normal growth curves from Mar²ál et al were applied.…”

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confidence: 99%

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Metabolic profiles of placenta in preeclampsia using HR-MAS MRS metabolomics

et al. 2015

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confidence: 99%

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confidence: 99%

Metabolic profiles of placenta in preeclampsia using HR-MAS MRS metabolomics

et al. 2015

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“…Based on calculations using the aDOB, the mean (±SD) duration of pregnancy based on LMP-estimates was 277.7 (±13.1) days ( Table 2) Most clinical decisions during pregnancy are influenced by the presumed gestational age of the fetus at the time that decisions are made. Therefore, better prediction of the timing of birth will improve monitoring of fetal growth and assist in providing optimal management for preterm and postterm deliveries [17].…”

Section: Resultsmentioning

confidence: 99%

Predicting date of birth and examining the best time to date a pregnancy

Khambalia¹,

Roberts²,

Nguyen³

et al. 2013

International Journal of Gynecology & Obstetrics

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“…It was possible to implement this cross-platform automatic method in PCs and on portable devices with few modifications because it used the Open CV and RCTL, which are cross-platform libraries. Consequently, the popular fetal measurement tables used worldwide may easily be implemented to work with the presented automatic method for automatic measurement of fetal BPD and FL to derive GA and EDD of a fetus [17] [27] [28] and one is already available on the tablet device [7] [29]. We chose to report BPD and FL values as they are independent of the dating formula.…”

Section: N H Khan Et Almentioning

confidence: 99%

Automatic Detection and Measurement of Fetal Biparietal Diameter and Femur Length —Feasibility on a Portable Ultrasound Device

Khan¹,

Tegnander²,

Dreier³

et al. 2017

OJOG

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An automatic method able to recognize a presented section through the biparietal plane of the fetal head and a section through the fetal femur in ultrasound images is developed. Once the correct anatomical section for measurement is identified by the machine, the placement of the measurement calipers is automatically determined by fitting an active contour model to the structure of interest. The fetal biparietal diameter (BPD) and femur length (FL) are then measured automatically. The validation data set contained 167 and 197 Bmode images for BPD and FL measurements, respectively. The images were acquired using 4 different ultrasound scanners, which resulted in varied image quality and gain settings. The mean gestational age (GA) of the fetuses was 19.4 weeks, range 16 to 41 weeks. A measurement success rate of 90% was achieved for both BPD and FL. The correlation coefficients between the manual and automatic measurements were 0.995 (BPD) and 0.967 (FL), mean errors were 0.5 mm (BPD) and -1.7 mm (FL) and error range with 95% confidence interval (CI) were −3.8 -4.8 mm (BPD) and −11.4 -8.1 mm (FL). The automatic measurement results were consistent in both high and low gain settings. The intraclass correlation coefficients between manual and automatic measurements were 0.995 (95% CI; 0.981 -0.999) for BPD in high gain, 1.0 (95% CI; 0.998 -1.0) for BPD in low gain, 0.998 (95% CI; 0.991 -0.999) for FL in high gain and 0.999 (95% CI; 0.996 -1.0) for FL in low gain settings. The method was implemented on a prototype, portable ultrasound machine designed to be used in low-and middle-income countries (LMIC). The overall performance of the method supports our hypothesis that automated methods can be used and are beneficial in a clinical setting.

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A direct method for ultrasound prediction of day of delivery: a new, population‐based approach

Abstract: Objectives

Cited by 53 publications

References 32 publications

Metabolic profiles of placenta in preeclampsia using HR-MAS MRS metabolomics

Metabolic profiles of placenta in preeclampsia using HR-MAS MRS metabolomics

Predicting date of birth and examining the best time to date a pregnancy

Automatic Detection and Measurement of Fetal Biparietal Diameter and Femur Length —Feasibility on a Portable Ultrasound Device

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