Aim: Abdominal wall endometriosis (AWE) in young women, with previous gynecological abdominal surgery, is the first condition considered by many practitioners when a tumor in the region of the scar appears. AWE seems to be caused by an iatrogenic transfer of endometrial cells at the level of the scar. The onset of the disease may be late in many cases. Despite the fact that the disease could be totally asymptomatic, there are certain risk factors that can be identified during the anamnesis, such as: heredity, menarche at the age of >14 years, menstrual cycle <27 days, delayed menopause, excessive alcohol and caffeine consumption. Suggestive signs include cyclic or continuous abdominal pain caused by a palpable abdominal wall mass with a maximum tenderness in the region of the surgical scar. The differential diagnosis is complex and rare entities like desmoid tumors (DTs) must be taken into consideration. Desmoid tumor, or the socalled aggressive fibromatosis (AF), is a rare fibroblastic proliferation. This tumor can develop in any muscular aponeurotic structure of the body and is considered benign but with a high recurrence rate. DTs can cause local infiltration, subsequently producing certain levels of deformity and potential obstruction of vital structures and organs. The differential diagnosis is challenging in this situations, the imagery exams are useful, especially in detecting the precise location of the tumor. The histological examination of the tumor can state the final and precise diagnosis.
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The most frequent tumoral condition of the uterus is represented by uterine myoma. The diagnosis, in most cases, is established by clinical examination and ultrasound scan. Nevertheless, there are rare cases, in which the surgical findings reveal a retroperitoneal tumor instead of a uterine myoma. These could be represented by schwannomas or Castleman disease. The schwannomas are rarely malignant and arise from the Schwann cells of nerve fibers. These tumors are frequently found at the level of the head, neck and mediastinum and rarely in the pelvis. Generally, schwannomas localized at retroperitoneal level are asymptomatic and with a very slow growth rate. The treatment consists in complete surgical resection. The recurrence rate is low and, generally, the prognosis is good. The Castleman disease is considered a rare entity, but it should be always taken into consideration when it comes to a differential diagnosis in a young patient who presents a retroperitoneal mass at imagery exams. The condition affects the lymphatic system and is characterized by a hyperplasia of the lymph nodes, sometimes associated with herpes virus infection. The clinical picture is often non-specific; the pain may be the only symptom. The imaging methods are not always conclusive for the final positive diagnosis and the histopathological examination is always necessary. Pelvic Castleman disease can be misdiagnosed as myoma or an adnexal tumor. In this article, we review the present knowledge regarding the pathogenesis, pathology and management of these rare retroperitoneal tumors. Both conditions, when located in pelvis must be taken into consideration in the differential diagnosis of uterine myomas, especially in the pedunculated form.
(1) Background: The identification of patients at risk for hepatitis B and C viral infection is a challenge for the clinicians and public health specialists. The aim of this study was to evaluate and compare the predictive performances of four machine learning-based models for the prediction of HBV and HCV status. (2) Methods: This prospective cohort screening study evaluated adults from the North-Eastern and South-Eastern regions of Romania between January 2022 and November 2022 who underwent viral hepatitis screening in their family physician’s offices. The patients’ clinical characteristics were extracted from a structured survey and were included in four machine learning-based models: support vector machine (SVM), random forest (RF), naïve Bayes (NB), and K nearest neighbors (KNN), and their predictive performance was assessed. (3) Results: All evaluated models performed better when used to predict HCV status. The highest predictive performance was achieved by KNN algorithm (accuracy: 98.1%), followed by SVM and RF with equal accuracies (97.6%) and NB (95.7%). The predictive performance of these models was modest for HBV status, with accuracies ranging from 78.2% to 97.6%. (4) Conclusions: The machine learning-based models could be useful tools for HCV infection prediction and for the risk stratification process of adult patients who undergo a viral hepatitis screening program.
Association between phenotype and follicle-stimulating hormone (FSH) receptor and FSH beta chain genotype was evaluated in women with ovarian dysfunction. FSH receptor gene single nucleotide polymorphisms (SNPs) were analyzed by restricted fragment length polymorphism (RFLP) technique. Three groups were analyzed: two groups formed of poor responders (women with ovarian dysfunctions caused by endometriosis and patients who underwent ovarian stimulation protocols) and a third good responders group (normal-ovulatory women who gave birth to naturally conceived children). A higher average level of basal FSH values were found in mutants in the A919G/Ala307Thr/rs6165 or A2039G/Asn680Ser/rs6166 tests (7.16±1.09; P=0.659). Anti-mullerian hormone (AMH) below 1.2 ng/ml was associated with a higher frequency of mutations: 33.3% A919G/Ala307Thr and A2039G/Asn680Ser (P=0.137) and also in 66.6% FSH receptor less frequent polymorphism (c.-29G>A) rs 1394205 (P=0.522). The age, day 3 FSH, and AMH levels are widely used to investigate female infertility. However, we have not yet found the ideal biomarker to determine the best outcome and treatment plan for our patients. We cconsider that genetic markers will become the future in the personalization of controlled ovarian stimulation treatment in the upcoming period.
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