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Dana Stoian, 1, 2 Viviana Ivan, 1 Ioan Sporea, 1 Varcus Florian, 3 Ioana Mozos, 4 Dan Navolan, 5 Dragos Nemescu 6 1 2nd Department of Internal Medicine, “Victor Babes” University of Medicine, Timisoara, Romania; 2Dr. D Center for Ultrasound in Endocrinology, Timisoara, Romania; 3 2nd Department of Surgery, “Victor Babes” University of Medicine, Timisoara, Romania; 4Department of Physiopathology, “Victor Babes” University of Medicine, Timisoara, Romania; 5Department of Obstetrics Gynecology, “Victor Babes” University of Medicine, Timisoara, Romania; 6Department of Obstetrics Gynecology, “Gr. T. Popa” University of Medicine, Iasi, RomaniaCorrespondence: Dan NavolanDepartment of Obstetrics Gynecology, “Victor Babes” University of Medicine and Pharmacy Timisoara, P-ta Eftimie Murgu, Nr. 2, Timisoara 300011, RomaniaEmail navolan@yahoo.comViviana Ivan 2nd Department of Internal Medicine, “Victor Babes” University of Medicine and Pharmacy Timisoara, P-ta Eftimie Murgu, Nr. 2, Timisoara 300011, RomaniaTel +40 722 960 911Fax +40 256 020 1890Email ivanmvivi@yahoo.comAim: Current major guidelines recommend risk stratification of the thyroid nodules, after each diagnostic evaluation, in order to focus attention on potentially risky nodules. The main aim of our study was to evaluate the performance of combined advanced ultrasound techniques in this process, compared with conventional stratification models, in order to reduce unnecessary fine-needle biopsies, respectively, surgery.Material and Methods: We evaluated 261 cases (261 nodules) using conventional ultrasound (2B), real-time Doppler evaluation (4D) respectively, real-time elastography, using a linear multifrequency probe and a linear volumetric probe (Hitachi Prerius Machine, Hitachi Inc, Japan). All the nodules were classified using a risk stratification model comprising seven conventional US characteristics, two 4 D characteristics and a color map RTE aspect. The results were compared with the pathology results, considered the golden standard diagnosis.Results: The prevalence of malignant nodules was 21.83% (57 cases). Conventional risk classification generated: 106 low-risk cases, 113 intermediate-risk and 42 high-risk cases. Our proposed risk classification changes the conventional risk classification with a risk upgrade in 27 cases and with a risk downgrade in 69 cases. The diagnostic quality of the combined risk stratification model was better, considering a low-risk category predictive for benignancy and a high category predictive for malignancy: Sensitivity: 80.88% versus 49.01%, respectively, Specificity: 91.22% versus 54.38. The diagnostic power differences were observed regardless of the nodule size.Conclusion: Advanced ultrasound techniques did add diagnostic value in the presurgical risk assessment of the thyroid nodules.Keywords: strain elastography, volumetric Doppler, complex ultrasound thyroid evaluation, risk stratification

This article discusses the importance of accurate reference tables for determining gestational age based on fetal Crown-rump length (CRL) measurements in the first trimester of pregnancy. The study analyzed four different reference curves and found that the Verburg and INTERGROWTH-21 curves provided the best fit for their population. However, all reference curves overestimated gestational age, although the bias was small. The study concludes that modern reference tables perform better than older ones, but the older tables still have good performance for CRL measurements of 15mm or more. [Extracted from the article]

This article, titled "EP08.13: Evaluation of fetal growth charts: a comparative study in a local population," aims to assess the impact of different fetal growth charts on estimated fetal weight (EFW) and their ability to predict small or large for gestational age (SGA or LGA) fetuses in a specific population. The study reviewed 7,059 pregnant women who had ultrasound assessments at a private prenatal center. The researchers compared four reference curves and found that the Fetal Medicine Foundation (FMF) curve provided the best fit for their population. However, this chart identified a higher proportion of fetuses as below the 3rd percentile, which may require additional monitoring. The study concludes that the choice of reference table significantly affects the classification of fetuses as SGA or LGA. [Extracted from the article]

Objectives. The purpose of this study was to evaluate the association between the follicle-stimulating hormone (FSH) receptor (c.-29G>A) and FSH beta chain (c.280G>T) polymorphisms and endometriosis in Romanian women. Material and methods. We performed the polymorphic analysis of the FSH receptor gene and FSH beta chain in 44 patients with endometriosis and 34 controls. Genomic DNA was obtained from peripheral blood and polymorphisms were investigated using restriction fragment length polymorphism analysis (RFLP). Results. There were no significant differences in genotype frequencies of FSH receptor gene between endometriosis patients and controls. For the heterozygous type of the FSH receptor polymorphism (c.-29G>A) we did not find a significant difference in its frequency between patients with minimal/mild and moderate/severe endometriosis (p = 0.136). Also, the FSH beta chain (c.280G> T) polymorphism frequency was not significantly associated with the severity of endometriosis (p = 0.966). Conclusions. FSH receptor and FSH beta chain polymorphisms do not seem to influence the severity of endometriosis, but they could be correlated with female infertility (primary or secondary), therefore further studies are required to debate this topic. [ABSTRACT FROM AUTHOR]

EP01.22: Characteristics of first trimester pre-eclampsia screening using the Fetal Medicine Foundation algorithm in a Romanian population Methods This is a retrospective analysis of pre-eclampsia risk in a population of singleton pregnancies, who underwent a prospective screening of pre-eclampsia at 11 to 13 + 6 gestational weeks. To evaluate the characteristics and performance of first trimester screening of preterm pre-eclampsia (PE) using the Fetal Medicine Foundation (FMF) algorithm in a Romanian population. [Extracted from the article]