Standard Biometric Measurements Research Articles

Evaluation of rice collection samples <i>Oryza sativa</i> L. in the Russian Far East

Relevance. Early-ripening varieties breeding is a constant task in the selection of rice in the Russian Far Eastern rice-growing zone, since the duration of the vegetation period is the main limiting factor in the region. Mediumand late-ripening forms, although more productive, often do not reach the full maturity phase. Early ripening varieties, as a rule, are less productive. Despite a certain negative relationship between productivity and precocity, it is necessary to select precisely these properties of rice plants.Methods. In the work, 157 samples of the updated rice collection Oryza sativa L. from 22 countries were studied. Varieties Primorsky 29 and Dolinny were used as control. Rice was sown in 2022 in a growing area in 1.54 m2 pots filled with soil. Each sample was placed in rows with row spacing of 15 cm, 10–12 plants in a row (randomized) in double repetition. Standard biometric measurements were taken. The sample size of each sample was 5–10 plants in replication. A total of 2194 plants were analyzed in the work.Results. Based on the first year results studying of the rice collection in the Primorsky Krai conditions, 39 accessions were identified that exceeded the standards in terms of main panicle grain mass and/or plant grain mass. Four of them exceed both standards in productivity (UkrNIS 9706, UkrNIS 3455, DON 7790, Nika Zulanzon). Nine early maturing accessions were identified with a vegetation period of 101–106 days, which is 2–8 days lower than the standards, which retained the productivity of panicles and plants at the control level (Zeravshanika, Onne Mochi, Mu 07-980, Mu-07-1055, Ussur, Uzros 24-24, No. 24, Kascade, Long Jing 15). Samples No. 24 are superior in main panicle grain mass, Mu 07-980 in grain mass of both control plants.

Evaluation of fetal kidney length as a marker for fetal biometry.

The precise determination of gestational age is essential for effectively managing and prognosis of all pregnancies. Through careful biometry, timely interventions can be implemented, leading to positive outcomes for both the mother and fetus. In routine fetal biometry, parameters such as biparietal diameter (BPD), femur length (FL), head circumference (HC), and abdominal circumference (AC) have been traditionally used. This study aims to evaluate the usefulness of fetal kidney length (FKL) as a marker for fetal biometry. This prospective, observational, and cross-sectional study was conducted in the Radiodiagnosis and Obstetrics and Gynaecology departments, including a diverse group of pregnant women from various socio-economic backgrounds, with adherence to ethical standards. Women with singleton pregnancies between 22 and 40weeks of gestation who met the inclusion and exclusion criteria were examined through ultrasound. The data collected were subsequently analyzed. In the current study, 280 participants with an average age of 26.71 ± 3.6years were included. The agreement between the mean fetal kidney length and standard biometry parameters was almost perfect, with a strength of agreement exceeding 0.99. A strong and statistically significant positive correlation existed between fetal kidney length and the estimated gestational period calculated using DLMP/standard biometric measurements. Fetal kidney length is a reliable indicator of gestational age and can supplement standard biometric measurements to provide a more precise estimation of gestational age, especially in the later stages when obtaining such standard measurements may be challenging.

Estimating the Ontogenetic Age and Sex Composition of Faunal Assemblages with Bayesian Multilevel Mixture Models

Understanding the ontogenetic age and sex composition of zooarchaeological assemblages can reveal details about past human hunting and herding strategies as well as past animal morphology and behavior. As such, the accuracy of our estimates underlies our ability to ascertain details about site formation and gain insights into how people interacted with different animals in the past. Unfortunately, our estimates typically rely on only a small number of bones, limiting our ability to fruitfully use these estimates to make meaningful comparisons to theoretical expectations or even between multiple assemblages. This paper describes a method to use zooarchaeological remains with standard biometric measurements to estimate the ontogenetic age and sex composition of the assemblage, focused on immature, adult-sized female, and adult-sized male specimens. The model uses a Bayesian framework to ensure that the parameter estimates are biologically meaningful. Simulated assemblages show that the model can accurately estimate the biometry and composition of zooarchaeological assemblages. Two archaeological case studies also show how the model can be applied to produce tangible insights. The first, focused on sheep from Neolithic Pinarbaşı B, highlights the model’s ability to elucidate site formation and function. The second, focused on cattle remains from four assemblages from 7th-6th millennium BCE northwestern Anatolia, showcases how to use the mixture modeling results to compare assemblages to one another and to specific hypotheses. This modeling framework provides a new avenue for investigating long-term trajectories in animal biometry alongside contextual analyses of past human choices in butchery and consumption.

A Prenatal Ultrasound Scanning Approach: One-Touch Technique in Second and Third Trimesters

This study was aimed at evaluating the performance of the innovative technique Smart Fetus (SF) developed to recognize the planes and obtain the basic biometric measurements of fetuses automatically. This prospective study included 1005 uncomplicated singleton pregnancies undergoing routine examinations. For every pregnancy, planes, including the transverse section of the thalami, transverse section of the abdomen and longitudinal section of the femur, were acquired, and standard biometric measurements, including biparietal diameter, head circumference, abdominal circumference and femur length, were obtained using SF and traditional ultrasound technique (TUT). The accuracy, reproducibility and time required for the analysis of SF were compared with those of TUT. In 998 of 1005 cases (99.30%), SF successfully acquired the sections and made all measurements. The agreement between the techniques was high for all measurements. The time to obtain sections and measure biometric parameters or solely measure biometric parameters was significantly shorter with SF than with TUT. No significant differences were found in SF repeated measurements obtained by two independent observers. The SF technique helped in the acquisition of reliable standard sections and biometric measurements and saved time. It might serve as a novel ultrasound scanning approach and improve workflow efficiency.

Ultrasound evaluation of the fetal fat tissue, heart, liver and umbilical cord measurements in pregnancies complicated by gestational and type 1 diabetes mellitus: potential application in the fetal birth-weight estimation and prediction of the fetal macrosomia

BackgroundThe aim of the study was to evaluate the ultrasound-derived measurements of the fetal soft-tissue, heart, liver and umbilical cord in pregnancies complicated by gestational (GDM) and type 1 diabetes mellitus (T1DM), and further to assess their applicability in the estimation of the fetal birth-weight and prediction of fetal macrosomia.MethodsMeasurements were obtained from diet-controlled GDM (GDMG1) (n = 40), insulin-controlled GDM (GDMG2) (n = 40), T1DM (n = 24) and healthy control (n = 40) patients. The following parameters were selected for analysis: fetal sub-scapular fat mass (SSFM), abdominal fat mass (AFM), mid-thigh fat/lean mass (MTFM/MTLM) and inter-ventricular septum (IVS) thicknesses, heart and thorax circumference and area (HeC/HeA; ThC/ThA), liver length (LL), umbilical cord/vein/arteries circumference and area (UmC/UmA; UvC/UvA; UaC/UaA) together with total umbilical vessels (UveA) and Wharton's jelly area (WjA). Regression models were created in order to assess the contribution of selected parameters to fetal birth-weight (FBW) and risk of fetal macrosomia.ResultsMeasurements of the fetal SSFM, AFM, MTFM, MTFM/MTLM ratio, HeC, HeA, IVS, LL, UmC, UmA, UaC, UaA, UveA and WjA were significantly increased among patients with GDMG2/T1DM as compared to GDMG1 and/or control groups (p < .05). The regression analysis revealed that maternal height as well as fetal biparietal diameter, abdominal circumference (AC), AFM and LL measurements were independent predictors of the FBW (p < .05). In addition, increase in the fetal AFM, AC and femur length (FL) was associated with a significant risk of fetal macrosomia occurrence (p < .05). The equation developed for the FBW estimation [FBW(g) = − 2254,942 + 17,204 * FL (mm) + 105,531 * AC (cm) + 131,347 * AFM (mm)] provided significantly lower mean absolute percent error than standard formula in the sub-group of women with T1DM (5.7% vs 9.4%, p < .05). Moreover, new equation including AC, FL and AFM parameters yielded sensitivity of 93.8%, specificity 77.7%, positive predictive value 54.5% and negative predictive value of 97.8% in the prediction of fetal macrosomia.ConclusionsUltrasound measurements of the fetal soft tissue, heart, liver and umbilical cord are significantly increased among women with GDM treated with insulin and T1DM. In addition to standard biometric measurements, parameters, such as AFM, may find application in the management of diabetes-complicated pregnancies.

The use of magnetic resonance imaging in the prediction of birthweight.

Extremes of fetal growth can increase adverse pregnancy outcomes, and this is equally applicable to single and multiple gestations. Traditionally, these cases have been identified using simple two-dimensional ultrasound which is quite limited by its low precision. Magnetic resonance imaging (MRI) has now been used for many years in obstetrics, mainly as an adjunct to ultrasound for congenital abnormalities and increasingly as part of the post-mortem examination. However, MRI can also be used to accurately assess fetal weight as first demonstrated by Baker et al in 1994, using body volumes rather than standard biometric measurements. This publication was followed by several others, all of which confirmed the superiority of MRI; however, despite this initial promise, the technique has never been successfully integrated into clinical practice. In this review, we provide an overview of the literature, detail the various techniques and formulas currently available, discuss the applicability to specific high-risk groups and present our vision for the future of MRI within clinical obstetrics.

Ultrasonic determination of gestational age by assessment of fetal kidney size in the third trimester in southwest Nigeria.

To determine the strength of association between fetal kidney measurements and gestational age (GA) in third-trimester pregnancies. In a cross-sectional study in Ile-Ife, Nigeria, women in the third trimester of a singleton pregnancy who were sure of the date of their last menstrual period or had an early pregnancy scan were recruited consecutively in 2012. Standard biometric measurements were taken, along with fetal kidney length (FKL), anteroposterior diameter (FKAPD), and transverse diameter (FKTD). Fetal kidney volume (FKV) was calculated via the ellipsoid formula. Data were analyzed by Pearson correlation and multivariate linear regression. In total, 470 women were recruited. Compared with standard biometric parameters, renal parameters showed better correlation with GA. Among the standard parameters, femur length showed the strongest correlation with GA. FKL and FKV showed stronger positive correlation with GA as compared with FKTD and FKAPD. In multivariate linear regression modeling, FKL alone predicted GA with accuracy of ±10.1days, whereas a combination of standard and kidney parameters predicted GA with better accuracy of ±8.0days. Compared with standard biometric parameters, fetal renal parameters correlated better with GA in the third trimester. Among the renal parameters, FKL correlated most strongly with GA.

Preliminary evaluation of foetal liver volume by three-dimensional ultrasound in women with gestational diabetes mellitus

The aim of the study was to assess the standard foetal biometric measurements and foetal liver volume (FLV) in pregnancies complicated by gestational diabetes mellitus (GDM) at the time of GDM screening and to compare the results with foetuses in normal pregnancies. Ninety-seven pregnant women with normal singleton uncomplicated pregnancies between 24 and 28 weeks of gestation were allocated into GDM (+) (n: 33) and GDM (−) (n: 64) groups based on their 75 g oral glucose tolerance test results. Foetal biometric measurements and FLV measurements of the groups were compared. Although there were no significant differences in the standard biometric measurements between the two groups, FLV was significantly higher in the women with GDM (p < .01). The ROC analysis implied that with a cut-off value of FLV of 32.72 cm3 for GDM prediction, the sensitivity was 78.8% and specificity was 56.3%. We suggest that FLV measurements during the second-trimester ultrasound scanning may be a tool for the prediction of GDM in the obstetric population.Impact statementWhat is already known on this subject? GDM is an important pregnancy disease, because of its possible foetal and maternal complications. Besides the standard biometric measurements, some other foetal body dimensions such as the anterior abdominal wall thickness, skinfold thickness, adipose tissue thickness, Wharton’s jelly thickness, foetal liver length and foetal liver volume (FLV) have been evaluated as ultrasound parameters of glycaemic control. While the evaluation of foetal liver dimensions has a role in identifying foetal growth acceleration, previous studies addressed patients with insulin-dependent diabetes mellitus rather than gestational diabetes mellitus, utilised two-dimensional ultrasound and did not argue the diagnostic value of these findings.What do the results of this study add? In our study, besides the standard biometric measurements, the FLV measurements were evaluated by a three-dimensional ultrasound. Although there were no significant differences in the standard biometric measurements between the GDM (+) and GDM (−) groups, the FLV was significantly higher in women with GDM. The FLV was found to be a potential predictive factor for GDM. The ROC analysis implied that as a cut-off value of FLV of 32.72 cm3 for GDM prediction, the sensitivity was 78.8% and the specificity was 56.3%.What are the implications of these findings for clinical practise and/or further research? Screening for GDM with oral glucose tolerance test within the limited weeks of gestation may not always be feasible. On the other hand, the mid-trimester ultrasound scanning is done almost in all pregnancies. Accordingly, FLV measurement might be an alternative method for the GDM diagnosis.

The feasibility of using 5D CNS software in obtaining standard fetal head measurements from volumes acquired by three-dimensional ultrasonography: comparison with two-dimensional ultrasound

Objective: To evaluate the performance of a new software (5D CNS) developed to automatically recognize the axial planes of the fetal brain from three-dimensional volumes and to obtain the basic standard biometric measurements. The accuracy, reproducibility, and time required for analysis of 5D CNS were compared with that of two-dimensional (2D) ultrasound. Methods: This was a prospective study of 120 uncomplicated singleton pregnancies undergoing routine second trimester examination. For every pregnancy standard biometric measurements including biparietal diameter, head circumference, distal lateral ventricle width, transverse cerebellar diameter and cisterna magna width were obtained using 2D ultrasound and three-dimensional (3D) ultrasound with 5D CNS software. Reliability and agreement of the two techniques were evaluated using intraclass correlation coefficients (ICCs) and proportionate Bland–Altman plots were constructed. The time necessary to complete the measurements with either technique was compared and intraobserver and interobserver agreements of measurements calculated. Results: In 118/120 (98.3%), 5D CNS successfully reconstructed the axial diagnostic planes and calculated all the basic biometric head and brain measurements. The agreement between the two techniques was high for all the measurements considered (all ICCS > 0.920). The time necessary to measure the biometric variables considered was significantly shorter with 5D CNS (54 versus 115 s, p < 0.0001) than with 2D ultrasonography. No significant differences were found in 5D CNS repeated measurements obtained either by the same observer or by two independent observers. Conclusion: 5D CNS software allows us to obtain reliable biometric measurements of the fetal brain and to reduce the examination time. Its application may improve work-flow efficiency in ultrasonographic practices

Fetal anterior abdominal wall thickness may be an early ultrasonographic sign of gestational diabetes mellitus

Objective: The aim of the study was to investigate standard biometric measurements, such as biparietal diameter (BPD), femur length (FL), abdominal circumference (AC), estimated fetal weight (EFW) and anterior abdomen wall thickness (AAWT) in fetuses complicated by gestational diabetes mellitus (GDM) at the time of GDM screening, and to compare the results with healthy pregnant controls.Methods: A total of 124 pregnant women between 26 and 28 weeks’ gestation were included in the study. These patients were divided into two groups based on their 75-g oral glucose tolerance test results. The study group consisted of 55 pregnant women with GDM, and 69 healthy pregnant women constituted our control group.Results: The study groups did not differ with respect to the mean BPD, FL, AC and EFW; however, the mean AAWT was significantly higher in the GDM group, 4.07 ± 0.46 mm versus 3.28 ± 0.37 mm in the control group (p < 0.001).Conclusions: The only fetal sonographic measurement found to significantly differ between the study groups was the AAWT in 26 weeks at the time of gestational diabetes screening, suggesting that measuring the AAWT may have a role in the evaluation of fetal growth in pregnancies complicated by gestational diabetes.

Difference of Gaussians revolved along elliptical paths for ultrasound fetal head segmentation

We present a fully automatic method to segment the skull from 2-D ultrasound images of the fetal head and to compute the standard biometric measurements derived from the segmented images. The method is based on the minimization of a novel cost function. The cost function is formulated assuming that the fetal skull has an approximately elliptical shape in the image and that pixel values within the skull are on average higher than in surrounding tissues. The main idea is to construct a template image of the fetal skull parametrized by the ellipse parameters and the calvarial thickness. The cost function evaluates the match between the template image and the observed ultrasound image. The optimum solution that minimizes the cost is found by using a global multiscale, multistart Nelder–Mead algorithm. The method was qualitatively and quantitatively evaluated using 90 ultrasound images from a recent segmentation grand challenge. These images have been manually analyzed by three independent experts. The segmentation accuracy of the automatic method was similar to the inter-expert segmentation variability. The automatically derived biometric measurements were as accurate as the manual measurements. Moreover, the segmentation accuracy of the presented method was superior to the accuracy of the other automatic methods that have previously been evaluated using the same data.

Population structure, biometrics and moult of migrant Purple Sandpipers Calidris maritima in southwest Iceland in spring

Capsule Iceland is a stop‐over site for a population of Purple Sandpipers that winter in Britain. Here, they accumulate fuel loads for onward migration along with birds that have wintered in Iceland. Aims To establish whether Purple Sandpipers from Britain stop‐over in Iceland during spring migration and, if so, to describe their population structure, changes in mass and moult. Methods Purple Sandpipers were cannon‐netted on the coast of the Reykjanes Peninsula in southwest Iceland during May 2003 and 2005. Birds were aged, sexed (some by DNA) and standard biometric measurements made. Active body moult was scored. Results Bill and wing lengths showed that the Purple Sandpipers we caught were similar to one of the populations that winter in Britain rather than Icelandic breeding birds. There were more males than females throughout the migration period (63% males for first‐year‐birds and 67% for adult birds). Accounting for a bias due to a higher percentage of males in a less usual habitat (muddy/sandy bays), the values for rocky sites were 52% males for first‐year birds and 62% for adults. The percentage of first‐year birds was 19% in 2003 and 32% in 2005, though the latter figure was biased by catches in muddy/sandy bays where there was a higher percentage of young birds. The percentage of first‐year birds was 25% on just the rocky shores in 2005. Many birds were in latter stages of body moult, and males were slightly in advance of females. Increasing mass showed that they were preparing for onward migration. The average increase of 0.58 g per day was similar to the rate measured in Orkney at an earlier point on the migration route. However, a high turnover of birds could be the reason for these low values. By late May, and close to the assumed departure date, the Purple Sandpipers of the different age/sex classes had fuel indices of 24–29% (33–42% of the lean mass). This was lower than that for the high Arctic sandpipers (Knots and Sanderlings) leaving southwest Iceland for Greenland and Canada. Conclusions Our study confirmed that Purple Sandpipers do stop‐over in Iceland, and the possible lower rate of fuel accumulation and smaller amount stored, compared with Knots and Sanderlings, suggests a different migration pattern.

OP27.04: New sonographic weight formulae for different ranges of fetal abdominal circumference

Objective: Birth weight is an important predictive parameter for neonatal morbidity and mortality. Accurate estimation of fetal weight is therefore a valuable tool for determining further obstetric management. Commonly used weight formulae have a lack of accuracy. The aim of this study was to develop and to evaluate new formulae specifically designed for different ranges of fetal abdominal circumference (AC). Methods: This study included 5314 pregnancies. Inclusion criteria were singleton pregnancy, ultrasound examination with complete biometric parameters within 7 days before delivery, and absence of structural or chromosomal malformations. With regard to sonographic AC measurements, four subgroups were built (AC: ≤290 mm; AC: 291–330 mm; AC: 331–359 mm; AC: ≥ 360 mm). For each population, best-fit formulae were derived by forward regression analysis with standard biometric measurements as independent variables and birth weight and log(birth weight) as dependent variables, respectively. Finally, accuracy of the new formulae was compared with commonly used weight equations. Results: In all subgroups, except for AC measurements between 331–359 mm, the new weight formulae demonstrated significantly improved accuracy compared to commonly used formulae. Conclusion: Especially in the lower und upper ranges of AC measurements, specifically designed equations help to improve fetal weight estimation.

Cerebellar growth in normal and growth-restricted fetuses of multiple gestations

OBJECTIVE: Our purpose was to evaluate growth of the cerebellum in growth-restricted fetuses of twin and triplet gestations versus growth in normal in utero sibling(s) and in singleton gestations. STUDY DESIGN: An ultrasonographic study was conducted in a population of pregnant women with twin and triplet gestations. The control group was either the normal in utero subling(s) when one fetus was growth restricted orn ormal twin and singleton pregnancies. Standard biometric measurements were obtained on all fetuses throughout pregnancy, including the transverse cerebellar diameter. However, only the last measurement was used for the analysis. Statistical analyses were conducted comparing growth of the transverse cerebellar diameter among the growth-restricted fetuses versus growth in the normal in utero fetal sibling(s) or other normal twin and singleton gestations. RESULTS: Pregnancies were categorized on the basis of the growth status of women with twin and triplet gestations: Group 1 (151) contained women with two fetuses appropriately grown for gestational age; group 2 (52) had one appropriately grown fetus and one with intrauterine growth restriction; group 3 (19) had tow fetuses with intrauterine growth restriction. In addition, there were 30 triplet gestations (group 4), five of which had growth-restricted fetuses, and group 5 contained 1405 singleton pregnancies. In all five groups there was a statistically significant relationship between transverse cerebellar diameter and gestational age ( p < 0.0001). There was also no significant difference between growth of the transverse cerebellar diameter in the appropriately grown and growth-restricted siblings and among normal singleton and twin pregnancy groups. In most cases of growth-restricted fetuses, except for the transverse cerebellar diameter measurements, all other biometric parameters were <10th percentile. CONCLUSION: These data confirm the relative preservation of normal cerebellar growth in growth-restricted fetuses and a similar rate of growth in singleton and multifetal gestations. The transverse cerebellar diameter therefore represents an independent biometric parameter that can be used in both singleton and multifetal pregnancies to assess normal and deviant fetal growth.