Gestational Trophoblastic Disease with Coexisting Progressing Pregnancy: Personalised Treatment Modalities.

Purpose: Gestational trophoblastic disease (GTD) coexisting with a steadily progressing pregnancy is an extremely rare condition presented in the literature as a single case or case series of successful delivery. The purpose of this study was to describe five cases of GTD and present possible management strategies for such patients. Methods: Clinical data of five pregnancies with coexisting GTD were identified within the Almazov National Medical Research Centre from 2018 to 2021. Results: Three cases of multiple pregnancies with complete hydatidiform moles and two cases of singleton pregnancies with intraplacental choriocarcinoma and invasive hydatidiform moles were identified. Three pregnancies were prolonged and ended with preterm deliveries. Malignant transformation of the GTD accounted for 60% of the cases. The condition of newborns was based on the level of prematurity and functional immaturity, and in all cases, it was aggravated by anemia. Conclusion: GTD coexisting with progressing pregnancy is threatened by the risks of preterm delivery, miscarriage, hemorrhage, and disease progression and requires monitoring in a multidisciplinary clinic experienced in the management of patients with malignant tumors during pregnancy. In cases of prolonged pregnancy against the background of GTD, we suggest the following monitoring during pregnancy: pelvic, abdominal ultrasound/MRI (without contrast), prenatal invasive fetal karyotype testing in cases of singleton pregnancy, lung X-ray/CT with uterine shielding, weekly assessment of ß-hCG levels, and dynamic monitoring of the fetus. The following postnatal monitoring should be performed: morphological examination of the placenta, weekly assessment of ß-hCG levels up to normalization, then monthly assessment up to six months, and control of ß-hCG level of the newborn.

Simplified Convolutional Neural Network Application for Cervix Type Classification via Colposcopic Images.

The inner parts of the human body are usually inspected endoscopically using special equipment. For instance, each part of the female reproductive system can be examined endoscopically (laparoscopy, hysteroscopy, and colposcopy). The primary purpose of colposcopy is the early detection of malignant lesions of the cervix. Cervical cancer (CC) is one of the most common cancers in women worldwide, especially in middle- and low-income countries. Therefore, there is a growing demand for approaches that aim to detect precancerous lesions, ideally without quality loss. Despite its high efficiency, this method has some disadvantages, including subjectivity and pronounced dependence on the operator's experience. The objective of the current work is to propose an alternative to overcoming these limitations by utilizing the neural network approach. The classifier is trained to recognize and classify lesions. The classifier has a high recognition accuracy and a low computational complexity. The classification accuracies for the classes normal, LSIL, HSIL, and suspicious for invasion were 95.46%, 79.78%, 94.16%, and 97.09%, respectively. We argue that the proposed architecture is simpler than those discussed in other articles due to the use of the global averaging level of the pool. Therefore, the classifier can be implemented on low-power computing platforms at a reasonable cost.

3D-printing in preoperative planning in neonates with complex congenital heart defects.

The application of the 3D printing approach in medicine is currently becoming increasingly popular. The management of fetuses and newborns with congenital heart defects is often difficult, primarily due to the complexity of the anatomy. Here we report a newborn with a complex congenital malformation (absent pulmonary valve syndrome associated with tetralogy of Fallot), which could be clinically interpreted in different ways. 3D printing allowed to elucidate the exact anatomy more precisely and direct the cardiosurgeon to a definitive treatment.

Gynecological Surgery and Machine Learning: Complications and Length of Stay Prediction.

In this study we are developing predictive models for a length of stay after a gynecological surgery, complications and the length of the surgery using machine learning methods. The study was performed with the data of patients with the diseases of the female reproductive system. The patients were admitted to the Almazov National Medical Research Centre (Saint-Petersburg, Russia) within the period 2010-2020. The study included 8170 electronic medical records of inpatient episodes including 3500 operation protocols. The data included anamnesis of life, anamnesis of disease, laboratory tests, severity, outcome of a surgery, main and comorbid diagnosis, complications, case outcome. The dataset was randomly split into 70% train and 30% test datasets. Validation with the test dataset provided the following prediction metrics for the length of stay after a surgery model. Training score: AUC of ROC: 0.9582230976834093; K-fold CV average score: -8.73; MSE: 5.65; RMSE: 2.83.

Ovarian tissue cryopreservation in prepubertal patients with oncological diseases: multidisciplinary approach and outcomes.

In children with cancer, the issues related to the quality of life are becoming increasingly important together with the improvement of survival rates. This creates an entirely new challenge - minimizing the toxicity of the antitumor therapy without reducing its effectiveness. One of the specific side effects of the antitumor therapy is gonadotoxicity, which negatively affects both the somatic and mental state of the survivors. Since ovarian stimulation is ineffective in prepubertal patients, ovarian tissue cryopreservation (OTC) remains the most promising option to preserve fertility. The primary goal of this publication is to emphasize the importance of the reproductive health problem in girls with oncological diseases, with a description of the current data of international literature on the prospects of OTC in order to preserve fertility. Another goal is to present a multidisciplinary strategy for the management of prepubertal age patients with the oncological disease within the framework of the Oncological Fertility Project at Almazov National Medical Research Center. Based on the data of Russian and international literature, as well as existing guidelines and recommendations on reproductive health, a single algorithm for selecting patients has been developed, considering the expected gonadal toxicity for the use of the OTC in prepubertal girls. The developed algorithm allows identifying patients of prepubertal age, requiring the use of new possibilities of reproductive technologies. In a long-term date, we are planning to evaluate the effectiveness of the orthotopic reimplantation technique of the cryopreserved ovarian tissue in restoring the reproductive function. A multidisciplinary team of specialists and the possibilities of the Federal Center facilitate implementing the Oncofertility Program in routine practice for girls and young women, receiving gonadotoxic treatment.

Prediction of a Due Date Based on the Pregnancy History Data Using Machine Learning.

Prediction of a labor due date is important especially for the pregnancies with high risk of complications where a special treatment is needed. This is especially valid in the countries with multilevel health care institutions like Russia. In Russia medical organizations are distributed into national, regional and municipal levels. Organizations of each level can provide treatment of different types and quality. For example, pregnancies with low risk of complications are routed to the municipal hospitals, moderate risk pregnancies are routed to the reginal and high risk of complications are routed to the hospitals of the national level. In the situation of resource deficiency especially on the national level it is necessary to plan admission date and a treatment team in advance to provide the best possible care. When pregnancy data is not standardized and semantically interoperable, data driven models. We have retrospectively analyzed electronic health records from the perinatal Center of the Almazov perinatal medical center in Saint-Petersburg, Russia. The dataset was exported from the medical information system. It consisted of structured and semi structured data with the total of 73115 lines for 12989 female patients. The proposed due date prediction data-driven model allows a high accuracy prediction to allow proper resource planning. The models are based on the real-world evidence and can be applied with limited amount of predictors.

Metabolomic Biomarkers in Gynecology: A Treasure Path or a False Path?

Omic-technologies (genomics, transcriptomics, proteomics and metabolomics) have become more important in current medical science. Among them, it is metabolomics that most accurately reflects the minor changes in body functioning, as it focuses on metabolome - the group of the metabolism products, both intermediate and end. Therefore, metabolomics is actively engaged in fundamental and clinical studies and search for potential biomarkers. The biomarker could be used in diagnostics, management and stratification of the patients, as well as in prognosing the outcomes. The good example is gynecology, since many gynecological diseases lack effective biomarkers. In the current review, we aimed to summarize the results of the studies, devoted to the search of potential metabolomic biomarkers for the most common gynecological diseases.

Blood inflammatory and endothelial markers in women with von Willebrand disease.

INTRODUCTION: VWD-affected females often experience menorrhagia. Periodical fluctuations of the sex steroids during the menstrual cycle cause changes both in the coagulation and immune system. The aim of the current study was to assess the changes in selected inflammatory and endothelial markers in women with VWD during two phases of the menstrual cycle (follicular and luteal) and to compare it with corresponding data from healthy controls. MATERIALS AND METHODS: The study group included 12 VWD-affected females with regular menstrual cycle, with none of them being prescribed hormone treatment. They were not pregnant or breastfeeding. The control group consisted of 102 healthy females, matched for age and BMI. RESULTS: Within the VWD group, endostatin was higher during the follicular phase, compared to the luteal phase, although the difference was not significant (p = 0.062). sICAM-1 and IL-6 were higher in VWD-affected females, compared to the controls, sVCAM-1, cathepsin S and sP-selectin were lower (p<0.003 for all cases). The pattern was constant throughout the menstrual cycle. CONCLUSIONS: Higher levels of endostatin during early follicular phase could potentially predispose women with VWD to the development of heavy menstrual bleeding, due to antiangiogenic properties and ability to suppress several coagulation factors. Lower p-selectin levels in VWD group, compared to controls, may also contribute to the bleeding tendency. Changes in other proteins, involved in angiogenesis are hypothetically related to the formation of angiodysplasia-common complication of VWF deficiency. The latter statement requires confirmation in larger studies.

Thrombin generation during a regular menstrual cycle in women with von Willebrand disease.

Fluctuations of the sex steroids during the menstrual cycle might significantly influence hemostasis. This association, derived from a number of the observations on healthy women, is yet to be described in females affected by bleeding disorders. The aim of the current study was to assess the changes in hemostatic variables in women with vWD during two phases of the menstrual cycle (follicular and luteal) and to compare it with healthy controls. The study group included 12 vWD-affected females with regular menstrual cycle, with none of them being prescribed any hormonal treatment. The control group consisted of 102 healthy females, matched for age and BMI. Within the vWD group FVIII and FX were both significantly higher during follicular phase than in luteal phase (p = 0.013 and p = 0.033 respectively). AT, FII, FVII and FX were higher in women with vWD, compared with controls during both phases of the menstrual cycle (p < 0.0005, p < 0.0005, p = 0.001 and p < 0.0005). In women with vWD, lag time and time to peak were prolonged during both phases of the menstrual cycle(p < 0.0005), while peak thrombin concentration was reduced (p = 0.003 and p = 0.002 during follicular and luteal phase respectively) compared to healthy peers. Lower levels of FVIII and FX during luteal phase may predispose women to the development of the menorrhagia - common complication of vWD. Women with vWD need more time to reach the peak thrombin concentration, while the latter still remains less than in healthy women. Higher levels of AT in vWD-affected females, compared to controls, may also contribute to the existing bleeding tendency in this cohort.

Autotransplantation of cryopreserved ovarian tissue--effective method of fertility preservation in cancer patients.

OBJECTIVE: To review the literature and to present the latest advances in the autotransplantation of cryopreserved ovarian tissue. MATERIALS AND METHODS: A literature review was conducted for all relevant articles assessing the fertility preservation, ovarian tissue transplantation, standard freezing and vitrification of ovarian tissue. RESULTS: One of the promising and effective methods for fertility preservation may be the autotransplantation of cryopreserved ovarian tissue. At present, 30 babies have been born after orthotopic autotransplantation of frozen-thawed human ovarian tissue. Restoration of ovarian activity occurs between 3.5 months and 6.5 months. The longevity of autotransplanted ovarian tissue is about 5-7 years. The follicles are similarly preserved after all freezing methods; however, the ovarian stroma is significantly better preserved after vitrification than after slow freezing. An important topic for further research is preparation of the "vascular bed", optimization of vitrification technique and the development of alternative procedures to avoid the transmission of cancer cells via ovarian tissue autotransplantation - "artificial ovary". CONCLUSIONS: Cryopreservation of ovarian tissue has unique advantages over other strategies. This method: (1) does not delay cancer treatment; (2) is safer for hormone dependent malignancy; (3) can be done independent of menstrual cycles; (4) is the only option for prepubertal girls; (5) can restore not only fertility but endocrine function.