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SonoAVC provides automated measures of antral follicle number and size. Using this technique, the number of antral follicles measuring 2.1-4.0 mm in diameter is an independent, significant predictor of pregnancy following in vitro fertilization treatment.

Kappa agreement rate between the two observations was determined. There were 57 males (74 %) and cohort median age was 41 years (range: 14-83 years). Majority of the referrals were for gastroesophageal reflux disease, dysphagia and achalasia. By "intuitive" visual interpretation, the tracing were reported as normal in 45 (58.4 %), achalasia 14 (18.2 %), ineffective esophageal motility 3 (3.9 %), nutcracker esophagus 11 (14.3 %) and nonspecific motility changes 4 (5.2 %). By Chicago classification, there was 100 % agreement (Kappa 1) for achalasia (type 1: 9; type 2: 5) and ineffective esophageal motility ("failed peristalsis" on visual interpretation). Normal esophageal motility, nutcracker esophagus and nonspecific motility disorder on visual interpretation were reclassified as rapid contraction and esophagogastric junction (EGJ) outflow obstruction by Chicago classification. Chicago classification identified distinct clinical phenotypes including EGJ outflow obstruction not identified by visual interpretation. A significant number of unclassified HREM by visual interpretation were also classified by it.

Objectives:To evaluate the diagnostic accuracy of 3D-SIS, 3D-TVS, 2D-TVS (initial TVS diagnosis and an expert TVS) and 2D-SIS in the differential diagnosis of septate, bicornuate and arcuate uteri. Methods: 117 women with recurrent abortion or infertility and 2D-TVS initial diagnosis of septate, bicornuate or arcuate uterus were included in the study. Diagnostics work-up comprised of initial 2D-TVS diagnosis, followed by 2D-TVS performed by an experienced examiners, 3D-TVS, 2D-SIS and 3D-SIS. In order to assess the accuracy of these methods all the patients underwent hysterolaparoscopy (HL) to establish the final diagnosis. The correlation between the results of each method was evaluated and diagnostic accuracy of each method was assessed in the whole group of women as well as in the subgroups of arcuate, septate and bicornuate uteri using receiver operator curves (ROC) method by estimating the area under the curve (AUC). Results: The 3D-SIS was found to be the best diagnostic method with an exact agreement with HL-obtained diagnosis. Other tools had a lower positive correlation (gamma index 3D-TVS: 0.93; 2D-SIS: 0.89, 2D-TVS by expert user: 0.77; and initial 2D-TVS: 0.48; all statistically significant, P < 0.001). All techniques, except initial 2D-TVS diagnosis, were found to have the highest (100%) accuracy, sensitivity and specificity in detection of bicornuate uterus cases. Both 2D-SIS and 3D-SIS were found to be better tools in detection of septate uterus (ACC 100%). They were followed by 3D-USG (ACC 97.5%). In diagnosis of arcuate uterus, after 3D-SIS,the 3D-TVS was found to have the highest accuracy (96.2%). Conclusions: 3D-SIS is the most accurate differentiation method of septate, bicornuate and arcuate uterus. It should be used in cases of ambiguous 3D-TVS results. 2D-SIS is comparable to 3D-SIS in differentiation of septate uterus with bicornuate uterus and it may be used in order to verify 2D-TVS results that depend on the investigator's experience, especially when the access to 3D-imaging technology is restricted. OP16.02Assessing the reliability and validity of 3D crown-rump length measurements S. Sur, K. Jayaprakasan, M. Batcha, C. Voltolina, J. Clewes, B. Winter, N. Cash, N. Raine-Fenning NURTURE, University of Nottingham, Nottingham, United KingdomObjectives: CRL is used to date 1 st trimester pregnancies. It is measured using 2D US but can be assessed from 3D data. 3D allows the user to examine the US data in a virtual realtime manner, standardising the display ensuring a longitudinal view of the embryo. This study assesses the interobserver reliability and validity of 3D measures of CRL. We hypothesised that 3D CRL measures would be as reliable and valid as 2D and that this would not be affected by the experience of the observer. Methods: A prospective study of 124 consecutive, live, singleton first trimester pregnancies. Women underwent a TV-US scan by an experienced (> 20 years) sonographer who measured the CRL. A 3D dataset of the embryo was acquired and saved for offline analysis by 7 obse...

Background: Infertility is a major problem all around the world. According to WHO, the rate of infertility is approximately 15% worldwide and it differ from geographical location, ethnicity and social status. Lifestyle habits, environmental and occupational hazards, physical parameters can be recognized as major risk factors which may affect male infertility. The objective of this study was to determine factors associated with male infertility in Sri Lankan context.Methods: A cross-sectional study was conducted on 299 individuals participated for an infertility clinic at Castle Street Teaching Hospital, Colombo, Sri Lanka. Socio-demographic, occupational and environmental characteristics were collected using interviewer administered questionnaire. Semen samples were collected from each participant for laboratory investigations. Sperm concentration and motility were measured.Results: Out of total participants, 30.1% of participants had a sperm concentration of <15×10⁶ and the sperm motility was <32% in 34.7% participants.  Older age, tobacco smokers, using tight under wears and individuals exposed to either heat or chemical hazards were identified as risk groups with low sperm concentration and low semen volume. In addition, older age, individuals using tight under wears and individuals exposed to either heat or chemical hazards were significantly associated with low or abnormal sperm mortality. Individuals having diabetes showed a significantly higher non-motility rate of sperms. Alcohol usage, betel chewing, mumps, special radiation exposure, body mass index and waist circumference were not significantly associated with semen parameters in study population.Conclusions: Older age, tobacco smoking, wearing tight underwear, occupational exposures, and diabetes mellitus has shown a risk for the generation of poor semen parameters, which can lead to male infertility. Furthermore, it is very important to carry out extended studies regarding this problem to establish the effect of above factors.