The placental blood perfusion and LINC00473-mediated promotion of trophoblast apoptosis in fetal growth restriction.

This study aimed to investigate placental microblood flow perfusion in fetal growth restriction (FGR) both pre- and post-delivery, and explore the influence of LINC00473 and its downstream targets on FGR progression in trophoblast cells. Placental vascular distribution, placental vascular index (VIMV), CD34 expression, and histological changes were compared between control and FGR groups. FGR-related differentially expressed genes (DEGs) were analyzed and validated by quantitative real-time polymerase chain reaction (qPCR) and immunohistochemistry (IHC) in placentae. In vitro experiments examined the regulatory relationships among LINC00473, miR-5189-5p, and StAR, followed by investigations into their impacts on cell proliferation and apoptosis. FGR placentae exhibited irregular shapes, uneven parenchymal echo, stromal dysplasia, ischemic infarction, and variable degrees of thickening in some cases. FGR samples showed less prominent mother vessel lakes, significantly lower VIMV, and decreased CD34 expression. Hematoxylin & eosin (H&E) staining revealed placental fibrosis, fibrin adhesion, infarction, and interstitial dysplasia in FGR. LINC00473, miR-5189-5p, and StAR were identified as DEG, with qPCR demonstrating a significant increase in LINC00473 and a decrease in miR-5189-5p in FGR, while both qPCR and IHC indicated a significant increase in StAR expression. LINC00473 served as an endogenous sponge against miR-5189-5p in human HTR-8/SV neo cells, and StAR expression was regulated by both LINC00473 and miR-5189-5p. Dysregulation of these genes affected cell proliferation and apoptosis. Pathological changes in the placenta are significant contributors to FGR, with placental microblood flow potentially serving as an indicator for monitoring its progression. LINC00473 and its downstream targets may modulate trophoblasts proliferation and apoptosis, thus influencing the onset of FGR, suggesting novel avenues for diagnosis and treatment.

An interpretable clinical ultrasound-radiomics combined model for diagnosis of stage I cervical cancer.

Objective: The purpose of this retrospective study was to establish a combined model based on ultrasound (US)-radiomics and clinical factors to predict patients with stage I cervical cancer (CC) before surgery. Materials and methods: A total of 209 CC patients who had cervical lesions found by transvaginal sonography (TVS) from the First Affiliated Hospital of Anhui Medical University were retrospectively reviewed, patients were divided into the training set (n = 146) and internal validation set (n = 63), and 52 CC patients from Anhui Provincial Maternity and Child Health Hospital and Nanchong Central Hospital were taken as the external validation set. The clinical independent predictors were selected by univariate and multivariate logistic regression analyses. US-radiomics features were extracted from US images. After selecting the most significant features by univariate analysis, Spearman's correlation analysis, and the least absolute shrinkage and selection operator (LASSO) algorithm, six machine learning (ML) algorithms were used to build the radiomics model. Next, the ability of the clinical, US-radiomics, and clinical US-radiomics combined model was compared to diagnose stage I CC. Finally, the Shapley additive explanations (SHAP) method was used to explain the contribution of each feature. Results: Long diameter of the cervical lesion (L) and squamous cell carcinoma-associated antigen (SCCa) were independent clinical predictors of stage I CC. The eXtreme Gradient Boosting (Xgboost) model performed the best among the six ML radiomics models, with area under the curve (AUC) values in the training, internal validation, and external validation sets being 0.778, 0.751, and 0.751, respectively. In the final three models, the combined model based on clinical features and rad-score showed good discriminative power, with AUC values in the training, internal validation, and external validation sets being 0.837, 0.828, and 0.839, respectively. The decision curve analysis validated the clinical utility of the combined nomogram. The SHAP algorithm illustrates the contribution of each feature in the combined model. Conclusion: We established an interpretable combined model to predict stage I CC. This non-invasive prediction method may be used for the preoperative identification of patients with stage I CC.

A Deliberate Practice-Based Ultrasound Training Program for Fetal Palate Screening Using a Sequential Sector Scan Through the Oral Fissure.

OBJECTIVES: To introduce an ultrasound training program for fetal palate screening by using a sequential sector scan through the oral fissure to train less experienced doctors and to investigate its effectiveness. METHODS: Twenty doctors and several women at approximately 20-28 weeks of gestation with singleton pregnancies who provided informed consent were enrolled. The training program consisted of theory and practice training, several tests, and two surveys. Trainees were tested before training and immediately after training; for the latter, each item with a score that was less than 60% of the full score was again used for training with a reconstructed plan. Finally, a post-training test was completed. RESULTS: The median theory scores, median practice scores, median language competence scores, and median self-assessment scores all increased significantly from the pre-training to post-training tests (P < .01). The median completion time for fetal palate scans decreased significantly from the pre-training to post-training tests (P < .01). The median questionnaire scores were 5.00 for pragmatism, 4.00 for content, 4.00 for scientific nature, and 5.00 for effectiveness. CONCLUSIONS: The training program for fetal palate screening can effectively standardize and improve doctors' scans for fetal palates. In addition, the program feasibly allows for the incorporation of the scan sequence into fetal palate screening.

Transvaginal/transrectal ultrasound-guided aspiration biopsy for diagnosis of pelvic/pelvic floor tumors in females: A retrospective analysis.

Ultrasound guidance for histological diagnosis is in real-time, convenient, and economical. The aim of this study was to determine whether transvaginal ultrasound (TVUS)- and transrectal ultrasound (TRUS)-guided aspiration biopsy allows detection of a malignant pathology of pelvic/pelvic masses. Data of 40 patients with pelvic and pelvic mass lesions by computed tomography or magnetic resonance imaging underwent TVUS- or TRUS-guided biopsy. Tissue samples obtained were assessed on suitability for histopathologic evaluation. The post-biopsy complication was monitored. All the specimens in the pelvic floor, vaginal stump, vaginal fornix, cervix, and posterior wall of the anal canal were adequate for histologic diagnosis. There were no post-biopsy complications. Transvaginal/transrectal ultrasound-guided aspiration biopsy is safe and simple. It can be used for the diagnosis and differential diagnosis of pelvic and pelvic floor lesions in women. Prospective studies are needed to test diagnostic performance across clinical scenarios.