ObjectiveTo observe the morphology and structure of the urogenital hiatus in late pregnancy women using transperineal three-dimensional (3D) pelvic floor ultrasonography.Methods Twenty five nulliparas and fifty late pregnancy women were examined by transperineal 3D pelvic floor ultrasonography.The images of urogenital hiatus were obtained and compared to study their differences between nulliparas and late pregnancy women.Results Compared to nulliparas,urogenital hiatus in late pregnancy women tended to be circular and with an offset position.The puborectalis were bended and could be avulsed.Pelvic floor connective tissue could be loose.The morphology of vaginal might be abnormal and pelvic organ might prolapsed slightly.ConclusionsThe morphology and structure of urogenital hiatus in late pregnancy women are different to those in nulliparas,the hiatus tend to be slackness.3D pelvic floor ultrasonography is an effective imaging method to observe the morphology and structure of urogenital hiatus in pregnancy women.

Objective To assess the contractility of levator ani muscle in postpartum female using pelvic floor three-dimensional ultrasound and to provide an effective imaging basis for the change of levator ani muscle contractility in postpartum female.Methods Totally 75 postpartum women (55 underwent spontaneous vaginal delivery and 20 underwent selective cesarean delivery) and 40 nulliparas were examined by pelvic floor three-dimensional ultrasound.The images were obtained at rest and at maximal levator ani muscle contraction.The sagittal hiatal length (L) on the two-dimensional sagittal images,the area of levator hiatus (A) and the circumference of levator hiatus (C) were measured on the three-dimensional images,and the difference value between rest and contraction were calculated to get the △L,△A,△C.Then the △L,△A,△C between different groups were compared.Results The △L,△A,△C in spontaneous vaginal delivery group and selective cesarean delivery group were smaller than those in nulliparas group (P ＜0.05),and there was no statistical difference between spontaneous vaginal delivery and selective cesarean delivery group (P ＞ 0.05).Conclusions Three-dimensional ultrasound can effectively assess the the contractility of levator ani muscle,the levator ani muscle contractility of postpartum female was poorer than nulliparas,and between spontaneous vaginal delivery and selective cesarean delivery women there is no obvious difference.

Objective To investigate the wake-promoting effect of vagus nerve stimulation (VNS) on coma rats after traumatic brain in-jury (TBI), and the related mechanism. Methods A total of 168 healthy Sprague-Dawley rats were randomly divided into blank group, TBI group, antagonist group and VNS group, 42 rats in each group. The latter three groups were established TBI model with impact, and the rats in coma at least 30 minutes were included. VNS group accepted VNS, the antagonist group were injected intralateroventricularly Orexin A receptor 1 (OXR1) antagonist SB334867, and TBI group accepted sham VNS. Their behaviors were observed to determine the level of con-sciousness six, twelve and 24 hours after intervention, while the expression ofγ-aminobutyric acid b1 receptor (GABAb1R) in prefrontal cortex was detected with immunohistochemistry and Western blotting. Results There were 42 rats in the blank group, 11 rats in TBI group, 13 rats in the antagonist group, and 28 rats in VNS group awakened finally. The expression of GABAb1R in prefrontal cortex ranged as TBI group, antagonist group, blank group and VNS group from more to less twelve and 24 hours after intervention under Western blotting (F>60.412, P<0.001), and it ranged as TBI group, antagonist group, VNS group and blank group under immunohistochemistry (H=15.121, P=0.002), with no significant difference among time points (H=3.028, P=0.220). Conclusion VNS can promote waking from coma in rats after TBI, which may relate with the decrease of GABAb1R in prefrontal cortex that induced by Orexin A.

Objective To evaluate the changes of levator ani muscle contractility in different postpartum periods by observing the contractility of postpartum women's levator ani muscle.Methods Forty-six postpartum women and 43 nulliparous women were included in the object.All of those went through translabial pelvic floor ultrasound examinations.Images of their levator hiatus would be recorded at the conditions of rest and contraction.The hiatal length (L)and the area (A)of levator hiatus were measured,then the differences were obtained between rest and contraction conditions,recording as ΔL andΔA.Relevant data were analyzed.Results There was no obvious statistical difference of L and A between the groups (P >0.05).The ΔL and ΔA of the 6-8 weeks were the minimum in this objective(P <0.05). However,there was no statistical difference between nulliparous women and the postpartum 6-8 month's women(P >0.05).Conclusions After delivery,the contractility of levator ani muscle became weaker,but could recovery effectively after about half a year.

Objective To study the change of levator urethra gap(LUG) in postpartum female using pelvic floor three-dimensional ultrasonography.Methods Totally 80 postpartum women and 30 nulliparas were examined by three-dimensional pelvic floor ultrasonography.The images were obtained at maximal pelvic floor muscle contraction,and then the morphology of puborectalis muscle on tomographic ultrasound imaging were observed and the right LUG and left LUG were measured.Results The puborectalis was intact in all nulliparas and 69 postpartum women.The puborectalis avulsion was find in 11 postpartum women.The LUG of postpartum group was greater than that of nullipara group (P ＜0.05).In postpartum group,the LUG of puborectalis avulsion was greater than that of intact puborectalis(P ＜0.05).There was no difference between the right LUG and left LUG in nullipara group and in the postpartum women with intact puborectalis (P ＞ 0.05).ConcIusions LUG is a good imaging parameter to evaluate the levator avulsion in postpartum women.

Objective To understand the characteristics of the nursing adverse events through analysis the 282 cases of nursing adverse events, and make countermeasures to reduce the incidence of adverse events. Methods A total of 282 nursing adverse events of non-punitive network reported were collected from June 2013 to June 2014 with retrospective analysis, then we analyzed and summarized them, in order to find out the relationship between occurred characteristics, reasons, age group with the nurse hierarchy, etc. Results No consequence nursing adverse events (levelⅢ) accounted for 67. 38% of all events cases, while potential hazard nursing adverse events ( level Ⅳ) accounted for 26. 95%. Nursing adverse events accounted for 26. 60%happened from 23:00 to 8:00. And 33. 3% of warning events ( level Ⅰ) happened in 15:00—23:00 and 66. 7% took place in 23:00—8:00. Hence, the adverse events occurred from 8:00 to 15:00 occupying 52. 84% (149/282). Then over 60 years old cases of nursing adverse events accounted for 49. 29%. Nursing hierarchy and its adverse events accounted for the highest rate, which was 59. 93% (169/282). In the distribution of age group about nursing adverse events, age group of beyond 60 years old was 49. 29%. For the reasons of nursing adverse events, without strictly carrying out checking system accounted for 30. 85%, lacking responsibility occupying 24. 11%, not strong risk awareness possessing 23. 76%. Conclusions It is remarkable to improve the consciousness of reporting adverse events in each nursing unit after implementation of network reported no-punitive nursing adverse events. There is a high percentage of nursing hierarchy adverse events and over 60 years old patients occurred. Warning events (levelⅠ) frequently happen in 15:00-8:00. Therefore, we should strengthen the young nurses′training, management of senile inpatients, 15:00—8:00 period nursing duty management, in order to reduce the incidence of nursing adverse events.

Objective: This study investigates the potential of radiomics to predict postoperative progression of ossification of the posterior longitudinal ligament (OPLL) after posterior cervical spine surgery. Methods: This retrospective study included 473 patients diagnosed with OPLL at Peking University Third Hospital between October 2006 and September 2022. Patients underwent posterior spinal surgery and had at least 2 computed tomography (CT) examinations spaced at least 1 year apart. OPLL progression was defined as an annual growth rate exceeding 7.5%. Radiomic features were extracted from preoperative CT images of the OPLL lesions, followed by feature selection using correlation coefficient analysis and least absolute shrinkage and selection operator, and dimensionality reduction using principal component analysis. Univariable analysis identified significant clinical variables for constructing the clinical model. Logistic regression models, including the Rad-score model, clinical model, and combined model, were developed to predict OPLL progression. Results: Of the 473 patients, 191 (40.4%) experienced OPLL progression. On the testing set, the combined model, which incorporated the Rad-score and clinical variables (area under the receiver operating characteristic curve [AUC] = 0.751), outperformed both the radiomics-only model (AUC = 0.693) and the clinical model (AUC = 0.620). Calibration curves demonstrated good agreement between predicted probabilities and observed outcomes, and decision curve analysis confirmed the clinical utility of the combined model. SHAP (SHapley Additive exPlanations) analysis indicated that the Rad-score and age were key contributors to the model’s predictions, enhancing clinical interpretability. Conclusion Radiomics, combined with clinical variables, provides a valuable predictive tool for assessing the risk of postoperative progression in cervical OPLL, supporting more personalized treatment strategies. Prospective, multicenter validation is needed to confirm the utility of the model in broader clinical settings.

Objective: This study investigates the potential of radiomics to predict postoperative progression of ossification of the posterior longitudinal ligament (OPLL) after posterior cervical spine surgery. Methods: This retrospective study included 473 patients diagnosed with OPLL at Peking University Third Hospital between October 2006 and September 2022. Patients underwent posterior spinal surgery and had at least 2 computed tomography (CT) examinations spaced at least 1 year apart. OPLL progression was defined as an annual growth rate exceeding 7.5%. Radiomic features were extracted from preoperative CT images of the OPLL lesions, followed by feature selection using correlation coefficient analysis and least absolute shrinkage and selection operator, and dimensionality reduction using principal component analysis. Univariable analysis identified significant clinical variables for constructing the clinical model. Logistic regression models, including the Rad-score model, clinical model, and combined model, were developed to predict OPLL progression. Results: Of the 473 patients, 191 (40.4%) experienced OPLL progression. On the testing set, the combined model, which incorporated the Rad-score and clinical variables (area under the receiver operating characteristic curve [AUC] = 0.751), outperformed both the radiomics-only model (AUC = 0.693) and the clinical model (AUC = 0.620). Calibration curves demonstrated good agreement between predicted probabilities and observed outcomes, and decision curve analysis confirmed the clinical utility of the combined model. SHAP (SHapley Additive exPlanations) analysis indicated that the Rad-score and age were key contributors to the model’s predictions, enhancing clinical interpretability. Conclusion Radiomics, combined with clinical variables, provides a valuable predictive tool for assessing the risk of postoperative progression in cervical OPLL, supporting more personalized treatment strategies. Prospective, multicenter validation is needed to confirm the utility of the model in broader clinical settings.

Objective: This study investigates the potential of radiomics to predict postoperative progression of ossification of the posterior longitudinal ligament (OPLL) after posterior cervical spine surgery. Methods: This retrospective study included 473 patients diagnosed with OPLL at Peking University Third Hospital between October 2006 and September 2022. Patients underwent posterior spinal surgery and had at least 2 computed tomography (CT) examinations spaced at least 1 year apart. OPLL progression was defined as an annual growth rate exceeding 7.5%. Radiomic features were extracted from preoperative CT images of the OPLL lesions, followed by feature selection using correlation coefficient analysis and least absolute shrinkage and selection operator, and dimensionality reduction using principal component analysis. Univariable analysis identified significant clinical variables for constructing the clinical model. Logistic regression models, including the Rad-score model, clinical model, and combined model, were developed to predict OPLL progression. Results: Of the 473 patients, 191 (40.4%) experienced OPLL progression. On the testing set, the combined model, which incorporated the Rad-score and clinical variables (area under the receiver operating characteristic curve [AUC] = 0.751), outperformed both the radiomics-only model (AUC = 0.693) and the clinical model (AUC = 0.620). Calibration curves demonstrated good agreement between predicted probabilities and observed outcomes, and decision curve analysis confirmed the clinical utility of the combined model. SHAP (SHapley Additive exPlanations) analysis indicated that the Rad-score and age were key contributors to the model’s predictions, enhancing clinical interpretability. Conclusion Radiomics, combined with clinical variables, provides a valuable predictive tool for assessing the risk of postoperative progression in cervical OPLL, supporting more personalized treatment strategies. Prospective, multicenter validation is needed to confirm the utility of the model in broader clinical settings.

Objective: This study investigates the potential of radiomics to predict postoperative progression of ossification of the posterior longitudinal ligament (OPLL) after posterior cervical spine surgery. Methods: This retrospective study included 473 patients diagnosed with OPLL at Peking University Third Hospital between October 2006 and September 2022. Patients underwent posterior spinal surgery and had at least 2 computed tomography (CT) examinations spaced at least 1 year apart. OPLL progression was defined as an annual growth rate exceeding 7.5%. Radiomic features were extracted from preoperative CT images of the OPLL lesions, followed by feature selection using correlation coefficient analysis and least absolute shrinkage and selection operator, and dimensionality reduction using principal component analysis. Univariable analysis identified significant clinical variables for constructing the clinical model. Logistic regression models, including the Rad-score model, clinical model, and combined model, were developed to predict OPLL progression. Results: Of the 473 patients, 191 (40.4%) experienced OPLL progression. On the testing set, the combined model, which incorporated the Rad-score and clinical variables (area under the receiver operating characteristic curve [AUC] = 0.751), outperformed both the radiomics-only model (AUC = 0.693) and the clinical model (AUC = 0.620). Calibration curves demonstrated good agreement between predicted probabilities and observed outcomes, and decision curve analysis confirmed the clinical utility of the combined model. SHAP (SHapley Additive exPlanations) analysis indicated that the Rad-score and age were key contributors to the model’s predictions, enhancing clinical interpretability. Conclusion Radiomics, combined with clinical variables, provides a valuable predictive tool for assessing the risk of postoperative progression in cervical OPLL, supporting more personalized treatment strategies. Prospective, multicenter validation is needed to confirm the utility of the model in broader clinical settings.