Discrepancy in ultrasound biometric parameters of the head (HC--head circumference, BPD--biparietal diameter) in breech presented fetuses

Background: A comparison of fetal ultrasonographic biometric parameters of the head (head circumference - HC, biparietal diameter - BPD) in breech presented fetuses. Methods: Ultrasound biometry was performed in accordance with the method presented in the reference tables. In all breech presented fetuses, the HC, BPD and FL (femur length) were measured. High-risk and multiple pregnancies were excluded from the study. Results: A total of 111 ultrasonographic biometries were performed between the 31(st) - 38(th) week of gestation. Fetuses in the breech position had a significantly lower BPD compared to HC and FL. The difference between BPD and HC was 16.2 days (95%Cl 14.3-18.1; p = 0.001). Maternal age at delivery was 20 - 36 years (average 28.1; median 28.0). Conclusions: According to our results, fetuses in the breech position have a significantly lower BPD compared to HC or FL. HC and FL parameters correlate with gestational age. In cases of ultrasonographic biometric discrepancy between BPD and FL, the fetal position should be taken into account. Breech-presented fetuses have an elongated head shape and ultrasound biometrics should evaluate its circumference (HC). It is important to responsibly interpret the results so as not to stress the expecting mother with suspicions of fetal pathology.     

Fetal ultrasonography: Normal biometric ranges in the baboon (Papio hamadryas)

Normal biometric ranges for fetal growth in a captive breeding baboon (Papio hamadryas) colony are described. Measurements include crown-rump length, biparietal diameter, binocular distance, head circumference, abdominal circumference, femur length and amniotic fluid index. The pattern of fetal growth is compared with other baboon subspecies and man. The uses and limitations of such data for breeding colony management and optimum utilisation of experimentally derived data are discussed.     

超声多参数在预测妊娠期糖尿病巨大儿分娩方式中的临床价值

摘要 目的：探究超声多参数在预测妊娠期糖尿病巨大儿分娩方式中的应用价值。方法：选择2016年2月至2020年9月于中国人民解放军联勤保障部队第九○一医院（我院）分娩的156例妊娠期糖尿病产妇为研究对象,回顾性分析其一般临床指标及多普勒超声检测参数,按照新生儿是否为巨大儿区分为巨大儿组（52例）和非巨大儿组（104例）,对比两组胎儿超声参数差异,评估胎儿双顶径（biparietal diameter,BPD）、头围（head circumference,HC）、腹围（abdominal circumference,AC）及股骨长度（femur length,FL）与新生儿体重的相关性,纳入年龄、宫高、孕妇腹围、孕妇体重、BPD、HC、AC、FL等指标评估巨大儿单因素影响因素,最后多因素Logistic回归分析探究巨大儿独立危险因素。结果：（1）比较显示巨大儿组胎儿BPD、HC、AC和HL均大于非巨大儿组（P<0.05）;（2）Spearman相关性分析显示BPD、HC、AC和HL均与新生儿体重呈正相关（P<0.05）;（3）分析显示产妇宫高、产妇腹围、孕期增重、BPD、HC、AC和HL均为巨大儿单因素影响因素（P<0.05）;（4）Logistic多因素回归分析显示孕妇宫高、BPD、HC、AC为巨大儿独立危险因素。结论：孕期使用超声多参数对妊娠期糖尿病产妇巨大儿发生情况具有较好的预测价值,可协助医师了解胎儿相关指标,并据此选择合适的分娩方式,值得临床推广应用。     

超声检查用于评价胎儿宫内生长的价值（附411例临床分析）

目的：评价用B超测量足月胎儿各生理参数来评估胎儿宫内生长的准确性与真实性。方法：414例住院分娩的足月头位单胎孕妇在分娩前4天内超声测量胎儿的双顶径（BPD）,枕额径（OFD）,枕额周径（HC）,腹围（AC）,腹横径（ATD）,股骨长度（FL）每个参数测量2次,取平均值。出生后24小时内测量新生儿各相应生理参数。用SAS软件进行统计学分析,结果 表明胎儿及新生儿各生理参数均呈正态分布。超声测量的BPD,OFD,HC,AC,ATD,FL与实际测量的结果均有一定相关性。计算二组数据的相关系数,分别为0.710,0.370,0.587,0.698,0.635,0.826。其中BPD,AC,FL相关性较好。结论 临床可选用双顶径,腹围,股骨长等参数来评价胎儿宫内生长发育及推算胎儿体重。     

胎儿体重相关因素分析以及多元回归方程的建立

目的:寻找更为准确的预测胎儿体重的方法,并探讨腹围增加值在预测胎儿体重中的价值。方法:回顾性分析山东省烟台市芝罘区妇幼保健院2010年3月至12月期间出生的280例新生儿的临床资料,将孕妇身高、体重、孕期增重、宫高、足月腹围、孕期腹围增加值及胎儿的双顶径、股骨长等,与新生儿出生体重进行相关及回归分析,得出回归方程并检验其显著性和与实际出生体重的符合率,并与以往临床常用方法比较。结果:宫高、腹围增加值、双顶径和股骨长与胎儿体重显著相关,建立的多元回归方程计算胎儿体重预测值与实际胎儿体重符合率达70.71%,远高于其它方法。结论:采用宫高、腹围增加值、双顶径、股骨长建立的多元回归方程对胎儿体重预测符合率高,有较好的临床应用价值。     

Sex-specific differences in fetal and infant growth patterns: a prospective population-based cohort study

Background

The objective of this study was to assess whether sex-specific differences in fetal and infant growth exist.

Methods

This study was embedded in the Generation R Study, a population-based prospective birth cohort. In total, 8556 live singleton births were included. Fetal growth was assessed by ultrasound. During the first trimester, crown-rump-length (CRL) was measured. In the second and third trimester of pregnancy head circumference (HC), abdominal circumference (AC) and femur length (FL) were assessed. Information on infant growth during the first 2 years of life was obtained from Community Health Centers and included HC, body weight and length.

Results

In the first trimester, male CRL was larger than female CRL (0.12 SD [95% CI 0.03,0.22]). From the second trimester onwards, HC and AC were larger in males than in females (0.30 SD [95% CI 0.26,0.34] and 0.09 SD [95% CI 0.05,0.014], respectively). However, FL in males was smaller compared to female fetuses (0.21 SD [95% CI 0.17,0.26]). Repeated measurement analyses showed a different prenatal as well as postnatal HC growth pattern between males and females. A different pattern in body weight was observed with a higher body weight in males until the age of 12 months where after females have a higher body weight.

Conclusions

Sex affects both fetal as well as infant growth. Besides body size, also body proportions differ between males and females with different growth patterns. This sexual dimorphism might arise from differences in fetal programming with sex specific health differences as a consequence in later life.

     

Maternal urinary cadmium concentrations in early pregnancy in relation to prenatal and postpartum size of offspring

BackgroundThe impacts of environmental cadmium (Cd) exposure on birth size parameters including weight, length and head circumference (HC) have been reported in multiple studies. However, little remains known of the impacts of maternal Cd exposure during pregnancy on size during in utero development and during early childhood. The aim of this study was to comprehensively investigate impacts of maternal Cd exposure during pregnancy on the size of offspring in utero (from 24 weeks pregnancy) until six months of age.MethodsPregnant mothers were recruited as part of an ongoing prospective birth cohort study based in Guangdong, China. Maternal urine samples were collected in the first and third trimesters of pregnancy, in which Cd concentrations were measured by inductively couple plasma mass spectrometry (ICPMS). In utero size indicators at 24 and 32 week of gestation, including biparietal diameter (BPD), abdominal circumference (AC), femur length (FL) and HC were derived from ultrasound examinations. Anthropometric measures of weight, height and HC at birth and one, three and six months of age were also collected. Associations of size measures at the various time points with maternal urinary Cd concentrations were assessed using linear regression models.ResultsThe median urinary Cd concentration was 1.00 and 0.98 μg/g creatinine in the first and third trimesters respectively. In univariate analysis, increased maternal Cd levels in the first trimester were associated with decreased HC (-0.17 cm/ug/g urinary Cd) at birth, and the association was particularly pronounced among males (-0.30 cm/ug/g urinary Cd). First trimester Cd exposure was also found to be significantly associated with decreased infant weight at three and six months of age among girls (−101 g/ug/g and −97 g/ug/g urinary Cd, respectively). Associations of similar magnitude were observed after adjustment for various maternal factors. No significant associations were observed with infant size measures or with measures of Cd in the third trimester.ConclusionsOur detailed study suggests that the first trimester is particularly critical window of susceptibility to sex-specific effects of Cd on size parameters at birth, with some effects persisting to six months of age. These compelling sex-dependent effects on HC and body weight warrant future studies examining longer-term health effects of pregnancy-related Cd exposures.     

Ultrasonographic monitoring of fetal development in unrestrained bonobos (Pan paniscus) at the Milwaukee County Zoo

The bonobo, Pan paniscus, is one of the most endangered primate species. In the context of the Bonobo Species Survival Plan^®, the Milwaukee County Zoo established a successful breeding group. Although the bonobo serves as a model species for human evolution, no prenatal growth curves are available. To develop growth graphs, the animals at the Milwaukee County Zoo were trained by positive reinforcement to allow for ultrasound exams without restraint. With this method, the well being of mother and fetus were maintained and ultrasound exams could be performed frequently. The ovulation date of the four animals in the study was determined exactly so that gestational age was known for each examination. Measurements of biparietal diameter (BPD), head circumference (HC), abdominal circumference (AC), and femur length (FL) were used to create growth curves. Prenatal growth of P. paniscus was compared with the data of humans and the common chimpanzee, P. troglodytes. With respect to cranial structures, such as BPD and HC, humans have significant acceleration of growth compared with P. paniscus and P. troglodytes. In P. paniscus, growth of AC was similar to HC throughout pregnancy, whereas in humans AC only reaches the level of HC close to term. Growth rate of FL was similar in humans and the two Pan species until near day 180 post‐ovulation. After that, the Pan species FL growth slowed compared with human FL. The newly developed fetal growth curves of P. paniscus will assist in monitoring prenatal development and predicting birth dates of this highly endangered species. Zoo Biol 30:241–253, 2011. © 2010 Wiley‐Liss, Inc.     

采用三次样条拟合胎儿体格发育指标百分位数参考值

目的:生长发育评价标准的最佳形式是年龄别百分位数,然而,目前我国缺乏胎儿的孕周别体格发育指标百分位数评价标准,影响了胎儿宫内生长发育水平的准确评价,本研究拟建立陕西省正常单胎妊娠孕妇胎儿体格发育指标百分位数参考标准。方法:以陕西省西安、汉中、延安5所大型综合医院超声科或妇产科超声室为数据采集点,选择2010-01-01到2010-12-31间进行常规孕期检查的正常单胎妊娠胎儿的超声测量数据,随机抽取一次测量结果,共收集到6832个单胎正常妊娠胎儿的超声测量数据。采用三次样条法对陕西省孕16-41周正常单胎妊娠胎儿的双顶径、腹围、股骨长百分位数进行拟合。结果:三次样条拟合胎儿的双顶径、腹围、股骨长百分位数,各百分位数的决定系数均在0.95以上,均方差均在各指标重复测量的容许误差内,拟合结果满意。计算出了胎儿的孕周别双顶径、腹围、股骨长的P3、P10、P25、P50、P75、P90、P97百分位数。结论:三次样条兼顾了曲线拟合中的拟合优度和光滑度,能更好的实现曲线拟合的目的。所建立的孕周别胎儿体格发育指标百分位数符合胎儿宫内生长发育规律,为胎儿宫内生长发育的准确评价提供了科学、准确的评价工具,可用于产科临床和研究工作中。     

Fully automatic and robust segmentation of the clinical target volume for radiotherapy of breast cancer using big data and deep learning

PurposeTo train and evaluate a very deep dilated residual network (DD-ResNet) for fast and consistent auto-segmentation of the clinical target volume (CTV) for breast cancer (BC) radiotherapy with big data.MethodsDD-ResNet was an end-to-end model enabling fast training and testing. We used big data comprising 800 patients who underwent breast-conserving therapy for evaluation. The CTV were validated by experienced radiation oncologists. We performed a fivefold cross-validation to test the performance of the model. The segmentation accuracy was quantified by the Dice similarity coefficient (DSC) and the Hausdorff distance (HD). The performance of the proposed model was evaluated against two different deep learning models: deep dilated convolutional neural network (DDCNN) and deep deconvolutional neural network (DDNN).ResultsMean DSC values of DD-ResNet (0.91 and 0.91) were higher than the other two networks (DDCNN: 0.85 and 0.85; DDNN: 0.88 and 0.87) for both right-sided and left-sided BC. It also has smaller mean HD values of 10.5 mm and 10.7 mm compared with DDCNN (15.1 mm and 15.6 mm) and DDNN (13.5 mm and 14.1 mm). Mean segmentation time was 4 s, 21 s and 15 s per patient with DDCNN, DDNN and DD-ResNet, respectively. The DD-ResNet was also superior with regard to results in the literature.ConclusionsThe proposed method could segment the CTV accurately with acceptable time consumption. It was invariant to the body size and shape of patients and could improve the consistency of target delineation and streamline radiotherapy workflows.     

Sonographic biometrical normograms and estimation of fetal weight in the baboon (Papio anubis)

Background  In order to consider the non-human primate as an adequate model for studying prenatal diagnosis and therapy, comparative data on fetal growth should be available.
Methods  Sixty ultrasound scans were performed in 22 baboons between 14 and 167 days of gestation. Measurements included greatest length, head circumference, biparietal diameter (BPD), transcerebellar diameter, abdominal circumference (AC), femur length (FL), and amniotic fluid index. For all parameters growth curves were established and compared with human curves. In 18 animals, birth weight and placental weight were determined. Different equations described in the literature for estimating the human fetal weight were tested in the baboon.
Results  The fetal and placental growth pattern in the baboon was comparable with humans. The best predictor of fetal weight was the formula presented by Combs: 0.23966 × AC² × FL + 1.623 × BPD³.
Conclusions  A high similarity between baboon and human growth charts is shown. The best equation for estimating the baboon fetal weight is proposed.     

Real-time ultrasonic evaluation of the baboon pregnancy: biometric measurements

Ultrasonic and direct biometric measurements of nine fetal baboons were made during 23 evaluations. Both the femur length and the biparietal diameter were correlated to gestational age. These initial results have facilitated intrauterine surgery. The data presented will help in determining adequate fetal growth and in dating the baboon pregnancy.     

Predictors of Percutaneous Catheter Drainage (PCD) after Abdominal Paracentesis Drainage (APD) in Patients with Moderately Severe or Severe Acute Pancreatitis along with Fluid Collections

AimsAlthough we previously demonstrated abdominal paracentesis drainage (APD) preceding percutaneous catheter drainage (PCD) as the central step for treating patients with moderately severe (MSAP) or severe acute pancreatitis (SAP), the predictors leading to PCD after APD have not been studied.MethodsConsecutive patients with MSAP or SAP were recruited between June 2011 and June 2013. As a step-up approach, all patients initially received medical management, later underwent ultrasound-guided APD before PCD, if necessary, followed by endoscopic necrosectomy through the path formed by PCD. APD primarily targeted fluid in the abdominal or pelvic cavities, whereas PCD aimed at (peri)pancreatic fluid.ResultsOf the 92 enrolled patients, 40 were managed with APD alone and 52 received PCD after APD (14 required necrosectomy after initial PCD). The overall mortality was 6.5%. Univariate analysis showed that among the 20 selected parameters, 13 factors significantly affected PCD intervention after APD. Multivariate analysis revealed that infected (peri)pancreatic collections (P = -0.001), maximum extent of necrosis of more than 30% of the pancreas (P = -0.024), size of the largest necrotic peri(pancreatic) collection (P = -0.007), and reduction of (peri)pancreatic fluid collections by <50% after APD (P = -0.008) were all independent predictors of PCD.ConclusionsInfected (peri)pancreatic collections, a largest necrotic peri(pancreatic) collection of more than 100 ml, and reduction of (peri)pancreatic fluid collections by <50% after APD could effectively predict the need for PCD in the early course of the disease.     

Determination of fetal age by ultrasonography in St. Kitts green monkeys

Ultrasound assessments of fetal growth have been used in other species of primates to estimate fetal age, but there are no published morphometrics for the St. Kitts green monkey (Chlorocebus sabaeus), a species that has been important for studies of transplantation of fetal tissue into the brain as potential treatment for degenerative disease. Previous studies with other primate species have used relatively small numbers of pregnancies, measured repeatedly, to derive regressions for predicting fetal age from ultrasound studies. The present study derives data from 967 pregnancies, collected over a 9-year period, for predicting fetal age from ultrasound measurements of crown rump length, biparietal diameter, head circumference, abdominal circumference, and femur length in the St. Kitts green monkey. Linear and polynomial regressions were determined from pregnancies dated from a 3- to 4-day breeding period and confirmed in a second, independent group of pregnant monkeys with more extended breeding times to determine their accuracy for predicting fetal age. Although similar to morphometrics reported in other monkey species, there were some significant differences. These data will improve the estimates of fetal ages in previously published studies of St. Kitts green monkeys and provide more precise estimates of fetal age in studies of fetal development, genomics, and reproductive toxicology.     

New markers of cell migration and inflammation in children with chronic kidney disease

Context: Chronic kidney disease (CKD) is characterized by immunocompetent cell migration and inflammation. Monocyte chemoattractant protein (MCP)-1 and macrophage colony-stimulating factor (MCSF) stimulate monocyte migration and transition into macrophages with subsequent release of neopterin.

Objective: The aim of the study was to analyze these parameters in children with various stages of CKD.

Material and methods: The study group consisted of 41 CKD children, 19 patients on haemodialysis (HD), 22 children on automated peritoneal dialysis (APD) and 23 controls. Serum concentrations of MCP-1, MCSF and neopterin were assessed by ELISA. Correlations to matrix metalloproteinases (MMPs) and their tissue inhibitors (TIMPs) were analyzed.

Results: MCP-1, MCSF and neopterin were significantly elevated in all patients versus controls and the highest values concerned HD children. A single HD session lessened the concentrations of all parameters, yet they rose back before the next HD session. All markers correlated with MMPs and TIMPs in different combinations.

Conclusions: Systemic inflammation and cell migration are triggered by CKD and additionally aggravated by chronic dialysis, with the more evident negative impact of HD than APD. Discrepancies in MCP1, MCSF and neopterin serum concentrations suggest they may serve as new markers of cellular and inflammatory responses in children with CKD.     

Association of vaspin rs2236242 gene polymorphism with serum vaspin level,insulin resistance and diabetes in an Iranian diabetic/pre-diabetic population

BackgroundIn recent years, the role of vaspin as an insulin-sensitizer has been studied widely. This is the investigation that examined the association of vaspin polymorphism rs2236242 on the vaspin level and the risk of type 2 diabetes and insulin-resistant Iranian pre-diabetic/diabetic population.MethodsA case-control study was conducted on 160 participants includes 80 participants holding (FBG) fasting blood glucose 3.88-5.55 (mmol/L) in the normal group, and 80 participants holding FBG≥5.55 (mmol/L) in a diabetic/pre-diabetic group. The serum vaspin and insulin were determined with ELISA (enzyme-linked assay) and biochemical variables by standard method. Tetra arms amplification system for the vaspin gene was performed. Statistical analysis was done using SPSS software version 20.ResultsThe means of age, body mass index (BMI), waist circumference (WC), hip circumference (HC), FBG, and vaspin were significantly different between normal and type 2 diabetic/impaired fasting blood group (P-value<0.05). rs2236242 showed association with Hip circumference (P-value<0.05). A significant association between allele A of rs2236242 with type 2 diabetes was seen (P-value<0.001). The vaspin levels showed a negative correlation with FBG (r =-0.296, P=0.001).ConclusionsAllele A of rs2236242 is a protective risk for type 2 diabetes, but no association of rs2236242 with insulin resistance was seen. The lower level of vaspin is a predictor for the progression of type 2 diabetes.     

GPU accelerated sequence alignment with traceback for GATK HaplotypeCaller

Background

Pairwise sequence alignment is widely used in many biological tools and applications. Existing GPU accelerated implementations mainly focus on calculating optimal alignment score and omit identifying the optimal alignment itself. In GATK HaplotypeCaller (HC), the semi-global pairwise sequence alignment with traceback has so far been difficult to accelerate effectively on GPUs.

Results

We first analyze the characteristics of the semi-global alignment with traceback in GATK HC and then propose a new algorithm that allows for retrieving the optimal alignment efficiently on GPUs. For the first stage, we choose intra-task parallelization model to calculate the position of the optimal alignment score and the backtracking matrix. Moreover, in the first stage, our GPU implementation also records the length of consecutive matches/mismatches in addition to lengths of consecutive insertions and deletions as in the CPU-based implementation. This helps efficiently retrieve the backtracking matrix to obtain the optimal alignment in the second stage.

Conclusions

Experimental results show that our alignment kernel with traceback is up to 80x and 14.14x faster than its CPU counterpart with synthetic datasets and real datasets, respectively. When integrated into GATK HC (alongside a GPU accelerated pair-HMMs forward kernel), the overall acceleration is 2.3x faster than the baseline GATK HC implementation, and 1.34x faster than the GATK HC implementation with the integrated GPU-based pair-HMMs forward algorithm. Although the methods proposed in this paper is to improve the performance of GATK HC, they can also be used in other pairwise alignments and applications.

     

A biplanar reconstruction method based on 2D and 3D contours: application to the distal femur

A three-dimensional (3D) reconstruction algorithm based on contours identification from biplanar radiographs is presented. It requires, as technical prerequisites, a method to calibrate the biplanar radiographic environment and a surface generic object (anatomic atlas model) representing the structure to be reconstructed. The reconstruction steps consist of: the definition of anatomical regions, the identification of 2D contours associated to these regions, the calculation of 3D contours and projection onto the radiographs, the associations between points of the X-rays contours and points of the projected 3D contours, the optimization of the initial solution and the optimized object deformation to minimize the distance between X-rays contours and projected 3D contours. The evaluation was performed on 8 distal femurs comparing the 3D models obtained to CT-scan reconstructions. Mean error for each distal femur was 1 mm.     

Efficacy and Safety of HER2-Targeted Agents for Breast Cancer with HER2-Overexpression: A Network Meta-Analysis

BackgroundClinical trials of human epidermal growth factor receptor 2 (HER2)-targeted agents added to standard treatment have been efficacious for HER2-positive (HER2+) advanced breast cancer. To our knowledge, no meta-analysis has evaluated HER2-targeted therapy including trastuzumab emtansine (T-DM1) and pertuzumab for HER2-positive breast caner and ranked the targeted treatments. We performed a network meta-analysis of both direct and indirect comparisons to evaluate the effect of adding HER2-targeted agents to standard treatment and examined side effects.MethodsWe performed a Bayesian-framework network meta-analysis of randomized controlled trials to compare 6 HER2-targeted treatment regimens and 1 naïve standard treatment (NST, without any-targeted drugs) in targeted treatment of HER2+ breast cancer in adults. These treatment regimens were T-DM1, LC (lapatinib), HC (trastuzumab), PEC (pertuzumab), LHC (lapatinib and trastuzumab), and PEHC (pertuzumab and trastuzumab). The main outcomes were overall survival and response rates. We also examined side effects of rash, LVEF (left ventricular ejection fraction), fatigue, and gastrointestinal disorders, and performed subgroup analysis for the different treatment regimens in metastatic or advanced breast cancer.ResultsWe identified 25 articles of 21 trials, with data for 11,276 participants. T-DM1 and PEHC were more efficient drug regimens with regard to overall survival as compared with LHC, LC, HC and PEC. The incidence of treatment-related rash occurs more frequently in the patients who received LC treatment regimen than PEHC and T-DM1 and HC. In subgroup analysis, T-DM1 was associated with increased overall survival as compared with LC and HC. PEHC was associated with increased overall response as compared with LC, HC, and NST.ConclusionsOverall, the regimen of T-DM1 as well as pertuzumab in combination with trastuzumab and docetaxel is efficacious with fewer side effects as compared with other regimens, especially for advanced HER2+ breast cancer.ImpactThis study suggests that both T-DM1 and PEHC therapy are potentially and equally useful treatments for HER2+ breast cancer.     

Segmentation of left ventricle in short-axis echocardiographic sequences by weighted radial edge filtering and adaptive recovery of dropout regions

In this paper, we present a weighted radial edge filtering algorithm with adaptive recovery of dropout regions for the semi-automatic delineation of endocardial contours in short-axis echocardiographic image sequences. The proposed algorithm requires minimal user intervention at the end diastolic frame of the image sequence for specifying the candidate points of the contour. The region of interest is identified by fitting an ellipse in the region defined by the specified points. Subsequently, the ellipse centre is used for originating the radial lines for filtering. A weighted radial edge filter is employed for the detection of edge points. The outliers are corrected by global as well as local statistics. Dropout regions are recovered by incorporating the important temporal information from the previous frame by means of recursive least squares adaptive filter. This ensures fairly accurate segmentation of the cardiac structures for further determination of the functional cardiac parameters. The proposed algorithm was applied to 10 data-sets over a full cardiac cycle and the results were validated by comparing computer-generated boundaries to those manually outlined by two experts using Hausdorff distance (HD) measure, radial mean square error (rmse) and contour similarity index. The rmse was 1.83 mm with a HD of 5.12 ± 1.21 mm. We have also compared our results with two existing approaches, level set and optical flow. The results indicate an improvement when compared with ground truth due to incorporation of temporal clues. The weighted radial edge filtering algorithm in conjunction with adaptive dropout recovery offers semi-automatic segmentation of heart chambers in 2D echocardiography sequences for accurate assessment of global left ventricular function to guide therapy and staging of the cardiovascular diseases.