Clinical Characteristics and Local Histopathological Modulators of Endometriosis and Its Progression.

Endometriosis (E) and adenomyosis (A) are associated with a wide spectrum of symptoms and may present various histopathological transformations, such as the presence of hyperplasia, atypia, and malignant transformation occurring under the influence of local inflammatory, vascular and hormonal factors and by the alteration of tumor suppressor proteins and the inhibition of cell apoptosis, with an increased degree of lesion proliferation. MATERIAL AND METHODS: This retrospective study included 243 patients from whom tissue with E/A or normal control uterine tissue was harvested and stained by histochemical and classical immunohistochemical staining. We assessed the symptomatology of the patients, the structure of the ectopic epithelium and the presence of neovascularization, hormone receptors, inflammatory cells and oncoproteins involved in lesion development. Atypical areas were analyzed using multiple immunolabeling techniques. RESULTS: The cytokeratin (CK) CK7+/CK20- expression profile was present in E foci and differentiated them from digestive metastases. The neovascularization marker cluster of differentiation (CD) 34+ was increased, especially in areas with malignant transformation of E or A foci. T:CD3+ lymphocytes, B:CD20+ lymphocytes, CD68+ macrophages and tryptase+ mast cells were abundant, especially in cases associated with malignant transformation, being markers of the proinflammatory microenvironment. In addition, we found a significantly increased cell division index (Ki67+), with transformation and inactivation of tumor suppressor genes p53, B-cell lymphoma 2 (BCL-2) and Phosphatase and tensin homolog (PTEN) in areas with E/A-transformed malignancy. CONCLUSIONS: Proinflammatory/vascular/hormonal changes trigger E/A progression and the onset of cellular atypia and malignant transformation, exacerbating symptoms, especially local pain and vaginal bleeding. These triggers may represent future therapeutic targets.

Deep learning and Gaussian Mixture Modelling clustering mix. A new approach for fetal morphology view plane differentiation.

The last three years have been a game changer in the way medicine is practiced. The COVID-19 pandemic changed the obstetrics and gynecology scenery. Pregnancy complications, and even death, are preventable due to maternal-fetal monitoring. A fast and accurate diagnosis can be established by a doctor + Artificial Intelligence combo. The aim of this paper is to propose a framework designed as a merger between Deep learning algorithms and Gaussian Mixture Modelling clustering applied in differentiating between the view planes of a second trimester fetal morphology scan. The deep learning methods chosen for this approach were ResNet50, DenseNet121, InceptionV3, EfficientNetV2S, MobileNetV3Large, and Xception. The framework establishes a hierarchy of the component networks using a statistical fitness function and the Gaussian Mixture Modelling clustering method, followed by a synergetic weighted vote of the algorithms that gives the final decision. We have tested the framework on two second trimester morphology scan datasets. A thorough statistical benchmarking process has been provided to validate our results. The experimental results showed that the synergetic vote of the framework outperforms the vote of each stand-alone deep learning network, hard voting, soft voting, and bagging strategy.

Learning deep architectures for the interpretation of first-trimester fetal echocardiography (LIFE) - a study protocol for developing an automated intelligent decision support system for early fetal echocardiography.

BACKGROUND: Congenital Heart Disease represents the most frequent fetal malformation. The lack of prenatal identification of congenital heart defects can have adverse consequences for the neonate, while a correct prenatal diagnosis of specific cardiac anomalies improves neonatal care neurologic and surgery outcomes. Sonographers perform prenatal diagnosis manually during the first or second-trimester scan, but the reported detection rates are low. This project's primary objective is to develop an Intelligent Decision Support System that uses two-dimensional video files of cardiac sweeps obtained during the standard first-trimester fetal echocardiography (FE) to signal the presence/absence of previously learned key features. METHODS: The cross-sectional study will be divided into a training part of the machine learning approaches and the testing phase on previously unseen frames and eventually on actual video scans. Pregnant women in their 12-13 + 6 weeks of gestation admitted for routine first-trimester anomaly scan will be consecutively included in a two-year study, depending on the availability of the experienced sonographers in early fetal cardiac imaging involved in this research. The Data Science / IT department (DSIT) will process the key planes identified by the sonographers in the two- dimensional heart cine loop sweeps: four-chamber view, left and right ventricular outflow tracts, three vessels, and trachea view. The frames will be grouped into the classes representing the plane views, and then different state-of-the- art deep-learning (DL) pre-trained algorithms will be tested on the data set. The sonographers will validate all the intermediary findings at the frame level and the meaningfulness of the video labeling. DISCUSSION: FE is feasible and efficient during the first trimester. Still, the continuous training process is impaired by the lack of specialists or their limited availability. Therefore, in our study design, the sonographer benefits from a second opinion provided by the developed software, which may be very helpful, especially if a more experienced colleague is unavailable. In addition, the software may be implemented on the ultrasound device so that the process could take place during the live examination. TRIAL REGISTRATION: The study is registered under the name "Learning deep architectures for the Interpretation of Fetal Echocardiography (LIFE)", project number 408PED/2020, project code PN-III-P2-2.1-PED-2019. TRIAL REGISTRATION: ClinicalTrials.gov , unique identifying number NCT05090306, date of registration 30.10.2020.

Addressing Chronic Gynecological Diseases in the SARS-CoV-2 Pandemic.

Introduction: the COVID-19 pandemic has had a considerable impact on healthcare systems worldwide. Since the actual influence of the pandemic on gynecological care is still unclear, we aim to evaluate the effect of the SARS-CoV-2 pandemic on gynecological procedures compared to the pre-pandemic period in Romania. Materials and Methods: this is a single-center retrospective observational study, involving patients hospitalized in the year before the SARS-CoV-2 pandemic (PP), in the first year of the pandemic (P1), and in the second year of the pandemic until February 2022 (P2). The percentages of interventions were analyzed globally but also according to the type of surgery applied on the female genital organs. Results: during pandemic, the number of gynecological surgeries dropped considerably, by more than 50% in some cases, or even decreased by up to 100%, having a major impact on women's health, especially in the first year of the pandemic (P1), before slightly increasing in the post-vaccination period (PV). Surgically treated cancer cases dropped by over 80% during the pandemic, and the consequences of this will be seen in the future. Conclusions: the COVID-19 pandemic played an important part in gynecological care management in the Romanian public health care system, and the effect will have to be investigated in the future.

Specific Local Predictors That Reflect the Tropism of Endometriosis-A Multiple Immunohistochemistry Technique.

Ectopic endometrial epithelium associates a wide spectrum of symptomatology. Their evolution can be influenced by inflammatory and vascular changes, that affect not only the structure and cell proliferation rate, but also symptoms. This prospective study involved tissue samples from surgically treated patients, stained using classical histotechniques and immunohistochemistry. We assessed ectopic endometrial glands (CK7+, CK20-), adjacent blood vessels (CD34+), estrogen/progesterone hormone receptors (ER+, PR+), inflammatory cells (CD3+, CD20+, CD68+, Tryptase+), rate of inflammatory cells (Ki67+) and oncoproteins (BCL2+, PTEN+, p53+) involved in the development of endometriosis/adenomyosis. A CK7+/CK20- expression profile was present in the ectopic epithelium and differentiated it from digestive metastases. ER+/PR+ were present in all cases analyzed. We found an increased vascularity (CD34+) in the areas with abdominal endometriosis and CD3+-:T-lymphocytes, CD20+-:B-lymphocytes, CD68+:macrophages, and Tryptase+: mastocytes were abundant, especially in cases with adenomyosis as a marker of proinflammatory microenvironment. In addition, we found a significantly higher division index-(Ki67+) in the areas with adenomyosis, and inactivation of tumor suppressor genes-p53+ in areas with neoplastic changes. The inflammatory/vascular/hormonal mechanisms trigger endometriosis progression and neoplastic changes increasing local pain. Furthermore, they may represent future therapeutic targets. Simultaneous-multiple immunohistochemical labelling represents a valuable technique for rapidly detecting cellular features that facilitate comparative analysis of the studied predictors.

The Influence of SARS-CoV-2 Pandemic in the Diagnosis and Treatment of Cervical Dysplasia.

Background and objectives. The risk of developing invasive cancer increased during the COVID-19 pandemic, especially in Romania, where the incidence of this disease is high due to limited medical education and broad screening. This study's objective is to analyze the number of patients admitted with different types of cervical dysplasia and the treatment applied for the lesions during the SARS-CoV-2 pandemic compared to the same period for the year before the pandemic. Materials and methods: This is a retrospective study that took place in the Obstetrics and Gynecology Clinics I/II (OG I/II) of the Emergency County Hospital of Craiova during the SARS-CoV-2 pandemic (SP) (15.03.2020-14.03.2021) and in the 12 months before (non-pandemic period) (NPP) (15.03.2019-14.03.2020). The study includes 396 patients with pathological PAP smear results. All the patients included in this study were clinically examined and with colposcopy. The patients with Low-Grade Dysplasia were managed in a conservatory manner and reevaluated after six months. The patients with High-Grade Dysplasia were admitted for an excisional biopsy of the lesion. The excised fragments were sent to the Pathological Anatomy Laboratory for a histopathological examination. Results: This study reveals a decrease of more than half in the number of patients admitted with cervical intraepithelial neoplasia (CIN) lesions during the pandemic compared to the same period of the year before. The number of biopsies and excisional procedures has been decreasing by more than a factor of three during the pandemic period compared to the year before. Conclusion: During the SARS-CoV-2 pandemic, we found that the patients' admission rate, diagnosis, and treatment was almost four times lower. As hospital restrictions were not dictated for cancer/precancer management during SP, we may assume that the differences were due to the fear of becoming infected with SARS-CoV-2 due to hospitalization. In the context of poor screening performance and high cervical cancer incidence, the influence of the SP may result in a further increase of severe cases related to this condition.

Twelve Weeks of Reversed Umbilical Flow in a Fetal Growth Restriction Case Associated with Severe Periconceptional Maternal Anemia.

We present a case of a patient diagnosed with severe intrauterine growth restriction and periconceptional severe anemia, where the fetal well-being features, including reversal of umbilical artery end-diastolic flow and abnormal cerebroplacental ratio, remained stationary for 12 weeks. We are not aware of reports with similar findings, and the professionals should take into consideration the possibility of a "frozen" fetal well-being for a long time. Possibly, in our case, the evolution may be due to the prompt correction of the chronic severe maternal anemia. This approach may offer the opportunity to prolong the pregnancy, even in cases with apparently imminent delivery, as the association of reversal of umbilical artery end-diastolic flow.

Prenatal and postnatal findings in a 10.6 Mb interstitial deletion at 10p11.22-p12.31.

Interstitial deletion of the proximal short arm of chromosome 10 represents a rare genetic alteration. Literature review revealed that only 10 postnatal diagnosed clinical cases with deletions overlapping 10p12p11 were published until present. We report the first prenatal diagnosis and postnatal findings in a male fetus with a 10.6 Mb interstitial deletion of the short arm of chromosome 10 (10p11.22-p12.31).

Real­world performance and safety of vaginal ovules in reducing the vaginal symptoms associated with vulvovaginal atrophy and postmenopausal sexual dysfunction.

Decreasing estrogen levels during the postmenopausal period results in tissue atrophy and physiological changes, such as thinning of the vaginal epithelium, prolapse and decreased pelvic floor strength and control. Sexual dysfunction associated with vaginal dryness occurs in postmenopausal patients. The present study (trial no. NCT05654610) was designed as an observational, multicenter, real-world clinical investigation to evaluate the performance and safety of the medical device Halova® ovules in decreasing vaginal symptoms associated with vulvovaginal atrophy and sexual dysfunction. A total of 249 female participants were treated with Halova ovules, both in monotherapy and in combination with vaginal lubricants. The primary objective was to evaluate the tolerability of Halova ovules in the management of symptoms associated with perimenopause or genitourinary syndrome of menopause. The evolution of clinical manifestations such as vaginal dryness, dysuria, dyspareunia and endometrial thickness was defined a secondary objective. Halova ovules were rated with 'excellent' clinical performance by 92.74% of participants as a standalone treatment and 95.71% of the study participants when used in association with vaginal lubricants. Sexual dysfunction-associated parameters, such as vaginal dryness and dyspareunia, were reduced by similar percentages in each arm, 82% (monotherapy) and 80% (polytherapy) for vaginal dryness and 72% in monotherapy vs. 48% polytherapy reducing dyspareunia. No adverse reactions associated with treatment with Halova were reported. The medical device demonstrated anti-atrophic activity in the genitourinary tract, resulting in significantly improved symptoms associated with normal sexual functioning.

Prenatal Diagnosis and Prognosis of Abdominal Arteriovenous Fistulae: A Comprehensive Case Series and Systematic Review.

This study had two main objectives. Firstly, we conducted a thorough literature review on the prenatal diagnosis of abdominal congenital arteriovenous fistulas (CAVFs) involving the abdominal aorta and hepatic arteries. Secondly, we aimed to provide detailed descriptions of eight additional cases diagnosed at our medical center and assess the outcome of this anomaly for informed counseling. We conducted a systematic search of online databases using specific keywords like "outcome", "ultrasound", "intrahepatic fistulae", and "fetal venous anomalies", focusing on studies published between 1998 and 2023. We selected 10 relevant articles and analyzed 13 cases. Additionally, we conducted a five-year prospective study in two referral centers, identifying eight CAVF cases with an incidence rate of 0.16%. Among the 21 cases evaluated, 11 resulted in live births, all of which received treatment. However, four cases (36.3%) had poor postnatal outcomes and neonatal demise due to heart failure. Prenatal signs of poor fetal hemodynamics, including cardiomegaly or hydrops, were observed in 52.3% of cases, regardless of outcome. Our findings highlight the rarity of this vascular malformation and emphasize the importance of effective treatment to avoid unfavorable outcomes. The long-term effectiveness of prenatal treatment or postnatal embolization remains uncertain, with liver transplantation being considered the most reliable treatment option.

Pattern Recognition and Anomaly Detection in fetal morphology using Deep Learning and Statistical learning (PARADISE): protocol for the development of an intelligent decision support system using fetal morphology ultrasound scan to detect fetal congenital anomaly detection.

INTRODUCTION: Congenital anomalies are the most encountered cause of fetal death, infant mortality and morbidity. 7.9 million infants are born with congenital anomalies yearly. Early detection of congenital anomalies facilitates life-saving treatments and stops the progression of disabilities. Congenital anomalies can be diagnosed prenatally through morphology scans. A correct interpretation of the morphology scan allows a detailed discussion with the parents regarding the prognosis. The central feature of this project is the development of a specialised intelligent system that uses two-dimensional ultrasound movies obtained during the standard second trimester morphology scan to identify congenital anomalies in fetuses. METHODS AND ANALYSIS: The project focuses on three pillars: committee of deep learning and statistical learning algorithms, statistical analysis, and operational research through learning curves. The cross-sectional study is divided into a training phase where the system learns to detect congenital anomalies using fetal morphology ultrasound scan, and then it is tested on previously unseen scans. In the training phase, the intelligent system will learn to answer the following specific objectives: (a) the system will learn to guide the sonographer's probe for better acquisition; (b) the fetal planes will be automatically detected, measured and stored and (c) unusual findings will be signalled. During the testing phase, the system will automatically perform the above tasks on previously unseen videos.Pregnant patients in their second trimester admitted for their routine scan will be consecutively included in a 32-month study (4 May 2022-31 December 2024). The number of patients is 4000, enrolled by 10 doctors/sonographers. We will develop an intelligent system that uses multiple artificial intelligence algorithms that interact between themselves, in bulk or individual. For each anatomical part, there will be an algorithm in charge of detecting it, followed by another algorithm that will detect whether anomalies are present or not. The sonographers will validate the findings at each intermediate step. ETHICS AND DISSEMINATION: All protocols and the informed consent form comply with the Health Ministry and professional society ethics guidelines. The University of Craiova Ethics Committee has approved this study protocol as well as the Romanian Ministry of Research Innovation and Digitization that funded this research. The study will be implemented and reported in line with the STROBE (STrengthening the Reporting of OBservational studies in Epidemiology) statement. TRIAL REGISTRATION NUMBER: The study is registered under the name 'Pattern recognition and Anomaly Detection in fetal morphology using Deep Learning and Statistical Learning', project number 101PCE/2022, project code PN-III-P4-PCE-2021-0057. TRIAL REGISTRATION: ClinicalTrials.gov, unique identifying number NCT05738954, date of registration: 2 November 2023.

Artificial Intelligence in Obstetric Anomaly Scan: Heart and Brain.

BACKGROUND: The ultrasound scan represents the first tool that obstetricians use in fetal evaluation, but sometimes, it can be limited by mobility or fetal position, excessive thickness of the maternal abdominal wall, or the presence of post-surgical scars on the maternal abdominal wall. Artificial intelligence (AI) has already been effectively used to measure biometric parameters, automatically recognize standard planes of fetal ultrasound evaluation, and for disease diagnosis, which helps conventional imaging methods. The usage of information, ultrasound scan images, and a machine learning program create an algorithm capable of assisting healthcare providers by reducing the workload, reducing the duration of the examination, and increasing the correct diagnosis capability. The recent remarkable expansion in the use of electronic medical records and diagnostic imaging coincides with the enormous success of machine learning algorithms in image identification tasks. OBJECTIVES: We aim to review the most relevant studies based on deep learning in ultrasound anomaly scan evaluation of the most complex fetal systems (heart and brain), which enclose the most frequent anomalies.

Seroprevalence of Anti-Cytomegalovirus Antibodies in Pregnant Women from South-West Romania.

Cytomegalovirus (CMV), in addition to other agents, is part of the TORCH complex (Toxoplasma gondii, Rubella virus, Cytomegalovirus, Herpes simplex viruses, and other agents). CMV infection is the most frequent cause of congenital malformations. This study aimed to establish the variation of prevalence of anti-CMV antibodies in pregnant women from the South-West region of Romania, according to demographic factors, such as age and area of residence, in two separate time periods (2013-2016 and 2019-2022). We collected from the hospital records the age, place of residence, and anti-CMV antibody test results using immune electrochemiluminescence and chemiluminescence. This study found that the seroprevalence of anti-CMV IgM antibodies increased slightly from 2013-2016 to 2019-2022, from 1.92% to 2.26%, and for IgG antibodies from 93.68% to 94.96%. In both groups was observed a descending trend of anti-CMV IgM seroprevalence with an increase in age, showing a decrease in seroprevalence from 3.57% to 1.09% in pregnant women from rural areas in the 31-35 years age group, while in urban areas, we observed a decrease in seroprevalence from 11.11% to 3.06% in the <20 years age group. The IgG seroprevalence showed an increase both in rural areas (from 93.97% to 95.52%) and urban areas (from 93.52% to 94.27%). In both groups, seroprevalence was higher in rural areas compared to urban regions. These results show a high rate of immunization against CMV in pregnant women in South-West Romania, which led to a low risk of acquiring the primary infection during pregnancy. However, the increase in the rate of primary CMV infections in pregnancy suggests the need for prioritizing screening programs and improving the existing protocols to enhance maternal and child healthcare.

Hospitalizations for Obstetrical Conditions During and After the Covid-19 Pandemic.

BACKGROUND: During the Covid-19 pandemic there have been a drastic decrease in hospitalizations for non-Covid conditions. The aim of this study was to evaluate the trend in hospitalizations for obstetrical conditions during and after the Covid-19 pandemic. METHODS: For this study there we used electronical data base in order to search for all the obstetrical patients that were hospitalized in a tertiary maternity, Clinical Emergency County Hospital Craiova, during the pre-pandemic period (between March - December 2019), during pandemics (2020 March - December, 2021 March - December) and post pandemics (2022 March - December). RESULTS: The total number of hospitalizations during 2020 dropped by 28% compared to the pre-pandemic year - 2019, and further by 30% in 2021, and by 26% in 2022. In terms of day admissions, a decreasing trend can be observed, with a total of 3230 admissions, from which, 208 in 2020 showing a decrease of 93%, 695 in 2021 with a decrease of 78% and 941 in 2022 with a decrease of 70% compared to 2019.We experienced a significant increase of vaginal birth rate during the pandemic (2020-2021) of 24% that can be attributed to the unavailability of many surrounding low-risk birth units during the pandemic. CONCLUSION: The obstetrical conditions hospitalizations dramatically dropped during the COVID-19 pandemic and have not yet recovered to the pre-pandemic level.

Seroprevalence of Herpes Simplex Virus Types 1 and 2 among Pregnant Women in South-Western Romania.

BACKGROUND: Pregnancy-related infections with the human herpes simplex virus (HSV) strains HSV-1 and HSV-2 are particularly noteworthy. There are numerous reported examples of intrapartum transmission of herpes infection, notwithstanding the extreme rarity of intrauterine transfer from mother to fetus. The purpose of this study was to evaluate the seroprevalence of HSV-1 and HSV-2 antibodies in pregnant women in the western region of Romania. METHODS: Pregnant women who presented for routine pregnancy monitoring at Romania's County Clinical Emergency Hospital in Craiova between 2013 and 2016 and 2019 and 2022 were included in the study. In order to find anti-HSV-1/2 IgG antibodies, we conducted serological testing on the patients and gathered demographic information from them. RESULTS: HSV-1 seroprevalence was shown to have declined in rural areas and increased in urban areas, with values between 2013 and 2016 being 89.30% and those between 2019 and 2022 being 84.96%, respectively. Women over 35 who were pregnant had the highest seroprevalence. The seroprevalence of HSV-2 decreased from 16.16% in 2013-2016 to 12.43% in 2019-2022, and both rural and urban areas continued to experience this declining trend. Similarly, pregnant women over 35 years old had the highest frequency of HSV-1 infections. CONCLUSIONS: Establishing educational programs and other actions to reduce the transmission rate and ultimately the prevalence of the disease can be made easier with knowledge about the seroprevalence of HSV-1 and HSV-2 infections.

Clinical Performance and Safety of Vaginal Ovules in the Local Treatment of Nonspecific Vaginitis: A National, Multicentric Clinical Investigation.

PURPOSE: Nonspecific vaginitis is a distinct clinical entity with particular microscopic and immunologic features. There is currently no standard of care for women with nonspecific vaginitis. The aim of our study was to assess the change in vaginal symptoms score after 3 months of treatment with an intravaginal medical device in participants with abnormal vaginal discharge and specific signs and symptoms. As secondary objectives, the study analyzed other clinical and microscopic features, such as vaginal discharge aspect, change in vaginal pH, change in vaginal microbiome, and vaginal inflammation. METHODS: The study population included 47 participants with symptomatic vulvovaginitis, distinct from candidiasis, trichomoniasis, or bacterial vaginosis. The study design included 2 research sites from Romania. The treatment protocol consisted of 1 ovule per day inserted intravaginally during 15 consecutive days. The total study duration was 3 months. FINDINGS: The intravaginal medical device had a positive impact on the vaginal symptoms score for 72.34% of the study participants. Topical administration of the ovules balanced vaginal pH values and significantly reduced signs of inflammation between study visits. IMPLICATIONS: This intravaginal medical device had curative effects that support its use as a stand-alone treatment in women with nonspecific vaginitis. A second clinical investigation is ongoing to evaluate the clinical efficacy of the device in postoperative care of cervical and vaginal wounds traumatic or secondary to surgical interventions. CLINICALTRIALS: gov identifier: NCT04735705.

Toxoplasma gondii Seroprevalence and Trends in Women Presenting for Toxoplasma Screening in South-West Romania.

Toxoplasmosis, caused by the obligate intracellular protozoan parasite Toxoplasma gondii (T. gondii), is a globally prevalent zoonotic disease with potentially severe implications for immunocompromised individuals, pregnant women, and their fetuses/children. This study examined the prevalence of anti-T. gondii IgM and IgG antibodies in two groups of childbearing age women, including 653 participants in Group 1 (2013-2016) and 3221 participants in Group 2 (2019-2022). Our results revealed a decrease in the overall positivity rate of anti-T. gondii IgM antibodies from 2.32% to 1.06%, suggesting improved public health interventions over time. However, there were variations among different age groups and between rural and urban environments, with a significant decrease in urban areas across all age groups from Group 1 to Group 2. Regarding anti-T. gondii IgG antibodies, we did not observe a significant change in the seropositivity rate between the two groups. In the rural population with an age group over 35 years, we observed the highest positivity rate in Group 2. This study provided information on the risk factors and burden of toxoplasmosis in women of childbearing age with data that can be valuable to public health policies and the planning of healthcare measures for effective toxoplasmosis management.

Seroprevalence of Infections with TORCH Agents in Romania: A Systematic Review.

Maternal-fetal infectious pathology-notably the TORCH panel (Toxoplasma gondii, rubella, Cytomegalovirus, and herpes simplex viruses)-critically impacts maternal and neonatal health. This review collates data on the seroprevalence of IgG and IgM antibodies against TORCH agents in Romanian women, aiming to discern regional and population differences and identify risk factors. Twenty studies were included in the review, revealing variable seroprevalence rates across the country. Regions such as Moldavia and Banat showed higher anti-T. gondii IgG seroprevalence rates than Bihor, with notable declines in Banat. Rural, older, and multiparous women showed elevated T. gondii IgG rates. Anti-rubella vaccine introduction significantly reduced the prevalence of anti-rubella IgG antibodies, but recent vaccination coverage decreases raise concerns. CMV and HSV seroprevalence varied geographically, with rural areas generally showing higher CMV rates and HSV influenced by factors like education level and number of sexual partners. Concurrent seroprevalence of multiple TORCH components in some cases underscores potential common risk factors. This study highlights the importance of continuous monitoring and preventive measures such as vaccinations and awareness campaigns to mitigate the health impact on the pregnant population.

Open Spina Bifida: The Role of Ultrasound Markers in the First Trimester and Morphopathology Correlation.

Objectives-To evaluate ultrasound markers during a first-trimester (FT) routine ultrasound examination for an early detection of open spina bifida (OSB) and to correlate the sonographic findings with the morpho-histological ones. MATERIALS AND METHODS: This retrospective research was performed using data from foetuses that underwent FT anatomy scans (FTAS) with a gestational age between 11 weeks and 13 weeks and 6 days in the Prenatal Diagnostic Unit of the Clinical Emergency County Hospital Craiova from October 2022 until September 2023. RESULTS: The study included 648 FT singleton pregnancies and 5 OSB cases were detected. In the OSB group, we found abnormal aspects of the fourth ventricle, also named intracranial translucency (IT) in 4 out of 5 cases of OSB (80%), a brain stem anteroposterior diameter, and brain stem to occipital bone ratio abnormal in all 5 cases (greater than 1) (100%), the crash sign was present in 80% (4 out of 5 cases) and the spinal defect was visualized in 4 out of 5 patients (80%). Medical termination of pregnancy (MTOP) was the preferred option in all cases of OSB. This allowed us to include an extended histological study to confirm the ultrasound diagnosis. CONCLUSIONS: A combined detailed FTAS that includes both cranial ultrasound markers of the posterior fossa and also a good visualization of the foetal spine offers an early optimal detection rate of spine abnormalities.