Search Results (6)

This case report includes the clinical utility of ultrasonography, intrauterine endoscopy (hysteroscopy), and computed tomography (CT) in the preoperative evaluation of hydrometra in a pet goat, which did not completely heal with medical therapy using prostaglandin F2α. Ultrasonography revealed an anechoic liquid within the uterine lumen on a percutaneous scan. CT identified an enlarged uterus and right ovary with a cystic follicle-like structure. Hysteroscopy revealed an accumulation of clear fluids within the uterine lumen and a corrugated, thickened endometrial structure. Plasma estradiol-17β (E2) concentrations were found to be higher (41.9 pg/mL) than normal levels, whereas plasma progesterone (P4) concentrations were at normal levels (0.55 ng/mL) during the follicular phase. Histopathological examination of the endometrium removed by biopsy revealed accelerated mucosal secretion with hyperplasia. Ovariohysterectomy was performed 14 days after the initial diagnosis. Immediately before surgery, plasma E2 and P4 levels were 23.4 pg/mL and 18.34 ng/mL, respectively. Histopathological examination of the surgically removed endometrium revealed cystic endometrial hyperplasia in the uterus and follicular cysts in the ovary. Based on these results, the patient was histologically diagnosed with hydrometra, including cystic endometrial hyperplasia, possibly induced by follicular cysts in the ovary. Ultrasonography and intrauterine endoscopy enabled clear visualization of the secreted mucosa within the uterine lumen, whereas CT enabled an effective visualization of an ovary with a cystic follicle structure. Preoperative observations based not only on ultrasonography but also on evaluations, particularly combined with CT and endoscopy, are useful in diagnosing hydrometra and determining the need for ovariohysterectomy in goats. Full article

Background and Objectives: The use of a bipolar resectoscope has become popular due to the lower risk of hyponatremia. However, gynecologists might overlook the risk of water intoxication. Water intoxication is associated with the infusion of distending fluid. We were interested in the prediction of the infused distending fluid volume in the era of bipolar hysteroscopy. Thus, the aim of this study was to identify the predictors of the infused distending fluid volume for hysteroscopic myomectomy. Materials and Methods: All consecutive women who underwent monopolar (n = 45) or bipolar (n = 137) hysteroscopic myomectomy were reviewed. Results: Myoma diameter (cm, coefficient = 680 mL, 95% confidence interval (CI) = 334–1025 mL, p <0.001) and bipolar hysteroscopy (coefficient = 1629 mL, 95% CI = 507–2752 mL, p = 0.005) were independent predictors of infused distending fluid volume. A myoma diameter ≥4.0 cm was the optimal cutoff value to predict the presence of >5000 mL of infused distending fluid. One woman in the bipolar group developed life-threatening water intoxication. Conclusions: Myoma diameter is associated with an increase in infused distending fluid volume, especially for myomas ≥4 cm. Meticulous monitoring of the infused distension fluid volume is still crucial to avoid fluid overload during bipolar hysteroscopic myomectomy. Full article

Chronic endometritis (CE) is an inflammatory pathologic condition of the uterine mucosa characterized by unusual infiltration of CD138(+) endometrial stromal plasmacytes (ESPCs). CE is often identified in infertile women with unexplained etiology, tubal factors, endometriosis, repeated implantation failure, and recurrent pregnancy loss. Diagnosis of CE has traditionally relied on endometrial biopsy and histopathologic/immunohistochemistrical detection of ESPCs. Endometrial biopsy, however, is a somewhat painful procedure for the subjects and does not allow us to grasp the whole picture of this mucosal tissue. Meanwhile, fluid hysteroscopy has been recently adopted as a less-invasive diagnostic modality for CE. We launched the ARCHIPELAGO (ARChival Hysteroscopic Image-based Prediction for histopathologic chronic Endometritis in infertile women using deep LeArninG mOdel) study to construct the hysteroscopic CE finding-based prediction tools for histopathologic CE. The development of these deep learning-based novel models and computer-aided detection/diagnosis systems potentially benefits infertile women suffering from this elusive disease. Full article

The presence of metastatic endometrial cancer (EC) is a key problem in treatment failure associated with reduced overall survival rates. The most common metastatic location is the pelvic lymph nodes, and the least common is the brain. The presence of metastasis depends on many factors, including the molecular profile of cancer (according to the TCGA—Genome Atlas), the activity of certain hormones (estrogen, prolactin), and pro-inflammatory adipocytokines. Additionally, an altered expression of microRNAs affecting the regulation of numerous genes is also related to the spread of cancer. This paper also discusses the value of imaging methods in detecting metastases; the primary role is attributed to the standard transvaginal USG with the tumor-free distance (uTFD) option. The influence of diagnostic and therapeutic methods on EC spread is also described. Hysteroscopy, according to the analysis discussed above, may increase the risk of metastases through a fluid medium, mainly performed in advanced stages of EC. According to another analysis, laparoscopic hysterectomy performed with particular attention to avoiding risky procedures (trocar flushing, tissue traumatization, preserving a margin of normal tissue) was not found to increase the risk of EC dissemination. Full article

Chronic endometritis (CE) is a localized mucosal infectious and inflammatory disorder marked by infiltration of CD138(+) endometrial stromal plasmacytes (ESPC). CE is drawing interest in the field of reproductive medicine because of its association with female infertility of unknown etiology, endometriosis, repeated implantation failure, recurrent pregnancy loss, and multiple maternal/newborn complications. The diagnosis of CE has long relied on somewhat painful endometrial biopsy and histopathologic examinations combined with immunohistochemistry for CD138 (IHC-CD138). With IHC-CD138 only, CE may be potentially over-diagnosed by misidentification of endometrial epithelial cells, which constitutively express CD138, as ESPCs. Fluid hysteroscopy is emerging as an alternative, less-invasive diagnostic tool that can visualize the whole uterine cavity in real-time and enables the detection of several unique mucosal findings associated with CE. The biases in the hysteroscopic diagnosis of CE; however, are the inter-observer and intra-observer disagreements on the interpretation of the endoscopic findings. Additionally, due to the variances in the study designs and adopted diagnostic criteria, there exists some dissociation in the histopathologic and hysteroscopic diagnosis of CE among researchers. To address these questions, novel dual immunohistochemistry for CD138 and another plasmacyte marker multiple myeloma oncogene 1 are currently being tested. Furthermore, computer-aided diagnosis using a deep learning model is being developed for more accurate detection of ESPCs. These approaches have the potential to contribute to the reduction in human errors and biases, the improvement of the diagnostic performance of CE, and the establishment of unified diagnostic criteria and standardized clinical guidelines for the disease. Full article

Purpose: Chronic endometritis (CE) is an infectious and inflammatory disorder associated with infertility of unknown etiology, repeated implantation failure, and recurrent pregnancy loss. In the current clinical practice, intrauterine interventions such as endometrial biopsy/histopathologic examinations and/or hysteroscopy are required for the diagnosis of CE. In this study, we analyzed the microbiota in vaginal secretions (VS) as a potential prediction tool for CE in infertile women. Methods: Using next-generation sequencing analysis, we compared the VS and endometrial fluid (EF) microbiota in infertile women with (n = 20) or without CE (n = 103). Results: The detection rate of Streptococcus and Enterococcus as well as the bacterial abundance of Atopobium and Bifidobacterium in the VS microbiota was significantly lower in the CE group than in the non-CE group. Meanwhile, the detection rate and bacterial abundance of Lactobacillus in the EF and VS microbiota were at similar levels between the two groups. Conclusion: These findings suggest that VS microbiota in infertile women with CE is characterized by the reduction in Bifidobacterium and lactic-acid-producing bacteria other than Lactobacillus. Our results hold promise for the prediction of CE, not by somewhat interventional intrauterine procedures, but by less invasive VS sampling. TRIAL REGISTRATION NUMBER: UMIN000029449 (registration date 6 October 2017). Full article