Influence of hippophae rhamnoides on two appetite factors, gastric emptying and metabolic parameters, in children with functional dyspepsia.

Our aim was to explore in children with functional dyspepsia the effect of hippophae rhamnoides on the levels of plasma appetite factors and on their gastrointestinal motility. A hundred and twenty children with functional dyspepsia were randomly divided into three groups: Group I (treated with hippophae rhamnoides), Group II (treated with domperidone), and Group III (treated with hippophae rhamnoides plus domperidone). The treatment lasted for eight weeks. The levels of plasma leptin (LP) and neuropeptide Y (NPY) were measured before and after treatment. All patients underwent a gastric emptying (GE) test by ultrasound (US) to measure the rate of postprandial gastric antrum residual, at 30min, 60min, 90min and 120min. The average value of subcutaneous fat, body fat percentage, upper arm girth and body mass index (BMI) were also measured. To compare the US with the radionuclide GE test 14 healthy adults volunteers were tested by both GE techniques. We found that the levels of LP and NPY in plasma were markedly higher after treatment in Groups I and III than in Group II. The postprandial gastric antrum remains at 60min, 90min and 120min in Groups I and III fell greatly and the thickness of skin fold (SF), body fat percentage and arm girth increased (P<0.05). The GE half emptying time of a mixed liquid-solid food measured by B US and by the radionuclide technique in the same individuals was similar (P>0.05). In conclusion, in children's functional dyspepsia, our study showed that hippophae rhamnoides increases the levels of appetite factors, leptin and neuropeptide Y, increases gastric emptying and gastrointestinal digestive function, children's growth and development.

Wnt/PCP pathway regulates the migration and neural differentiation of mesenchymal stem cells in vitro.

INTRODUCTION: Mesenchymal stem cells (MSCs) are an excellent donor graft source due to their potential for self-renewal and multidirectional differentiation. However, the potential mechanisms involved in MSC homing and neural differentiation are still unclear. The purpose of this study was to explore the effects of a chemokine, SDF-1a, and Wnt3a ligand on rat MSCs' migration and b-mercaptoethanol (BME)-induced neural differentiation of MSCs. MATERIALS AND METHODS: MSCs were isolated from rat bone marrow and cultured in vitro to passage 3. Scratch tests and transwell assays were used to estimate the effects of SDF-1a (25 ng/mL) and Wnt3a (10 ng/mL) on the migration of MSCs. The expression of Wnt/PCP pathway proteins RhoA, c-Jun, ATF2, and Wnt3a were assessed by Western blot. The 5 mM BME-induced neural differentiation of MSCs was determined by immunofluorescence to detect neuron- and astrocyte-specific markers such as nestin, GFAP, and Olig2. RESULTS: Wnt3a promoted the migration ability of MSCs and regulated the expression of RhoA, c-Jun, and ATF2 proteins. MSCs could differentiate into neural stem cells and astrocytes. Wnt3a enhanced BME induced neurogenesis in MSCs by increasing the protein expression of RhoA, c-Jun, and Wnt3a. CONCLUSIONS: The present study demonstrated that the Wnt/PCP pathway promotes migration and neural differentiation of rat MSC.

A Computer-Aided Diagnosis System and Thyroid Imaging Reporting and Data System for Dual Validation of Ultrasound-Guided Fine-Needle Aspiration of Indeterminate Thyroid Nodules.

PURPOSE: The fully automatic AI-Sonic computer-aided design (CAD) system was employed for the detection and diagnosis of benign and malignant thyroid nodules. The aim of this study was to investigate the efficiency of the AI-Sonic CAD system with the use of a deep learning algorithm to improve the diagnostic accuracy of ultrasound-guided fine-needle aspiration (FNA). METHODS: A total of 138 thyroid nodules were collected from 124 patients and diagnosed by an expert, a novice, and the Thyroid Imaging Reporting and Data System (TI-RADS). Diagnostic efficiency and feasibility were compared among the expert, novice, and CAD system. The application of the CAD system to enhance the diagnostic efficiency of novices was assessed. Moreover, with the experience of the expert as the gold standard, the values of features detected by the CAD system were also analyzed. The efficiency of FNA was compared among the expert, novice, and CAD system to determine whether the CAD system is helpful for the management of FNA. RESULT: In total, 56 malignant and 82 benign thyroid nodules were collected from the 124 patients (mean age, 46.4 ± 12.1 years; range, 12-70 years). The diagnostic area under the curve of the CAD system, expert, and novice were 0.919, 0.891, and 0.877, respectively (p < 0.05). In regard to feature detection, there was no significant differences in the margin and composition between the benign and malignant nodules (p > 0.05), while echogenicity and the existence of echogenic foci were of great significance (p < 0.05). For the recommendation of FNA, the results showed that the CAD system had better performance than the expert and novice (p < 0.05). CONCLUSIONS: Precise diagnosis and recommendation of FNA are continuing hot topics for thyroid nodules. The CAD system based on deep learning had better accuracy and feasibility for the diagnosis of thyroid nodules, and was useful to avoid unnecessary FNA. The CAD system is potentially an effective auxiliary approach for diagnosis and asymptomatic screening, especially in developing areas.

Early ultrasound diagnosis of conjoined twins at eight weeks of pregnancy: A case report.

BACKGROUND: Conjoined twins are a rare occurrence, and the majority of these malformations are detected during second trimester screening. CASE SUMMARY: Herein we report a case of conjoined twins, which was diagnosed by ultrasound at 8 wk gestation and was normal at 7 wk gestation. The two fetuses shared one heart and were diagnosed as thoracopagus twins. This is the first report of conjoined twins diagnosed at 8 wk gestation. The pregnancy was terminated electively at 9 wk gestation. Because some congenital malformations can be diagnosed earlier, a prenatal ultrasound examination at an early gestational stage cannot be dismissed. CONCLUSION: This case demonstrates that a 7-8 wk gestation might be the earliest period when conjoined twins can be diagnosed by ultrasound.

Update on thyroid ultrasound: a narrative review from diagnostic criteria to artificial intelligence techniques.

OBJECTIVE: Ultrasound imaging is well known to play an important role in the detection of thyroid disease, but the management of thyroid ultrasound remains inconsistent. Both standardized diagnostic criteria and new ultrasound technologies are essential for improving the accuracy of thyroid ultrasound. This study reviewed the global guidelines of thyroid ultrasound and analyzed their common characteristics for basic clinical screening. Advances in the application of a combination of thyroid ultrasound and artificial intelligence (AI) were also presented. DATA SOURCES: An extensive search of the PubMed database was undertaken, focusing on research published after 2001 with keywords including thyroid ultrasound, guideline, AI, segmentation, image classification, and deep learning. STUDY SELECTION: Several types of articles, including original studies and literature reviews, were identified and reviewed to summarize the importance of standardization and new technology in thyroid ultrasound diagnosis. RESULTS: Ultrasound has become an important diagnostic technique in thyroid nodules. Both standardized diagnostic criteria and new ultrasound technologies are essential for improving the accuracy of thyroid ultrasound. In the standardization, since there are no global consensus exists, common characteristics such as a multi-feature diagnosis, the performance of lymph nodes, explicit indications of fine needle aspiration, and the diagnosis of special populations should be focused on. Besides, evidence suggests that AI technique has a good effect on the unavoidable limitations of traditional ultrasound, and the combination of diagnostic criteria and AI may lead to a great promotion in thyroid diagnosis. CONCLUSION: Standardization and development of novel techniques are key factors to improving thyroid ultrasound, and both should be considered in normal clinical use.