Objective To verify the accuracy of the"manual tracing+summation method"for calculating the area of subcap aponeurotic hematoma using CT images in the practice of judicial expertise.Methods Subcap aponeurotic hematoma at different locations were simulated using"skull+colored clay plastic"model.The simulated hematoma areas were calculated via RadiAnt DICOM Viewer(64-bit)after CT scanning and compared with manual measurements.Results(1)For completely scaned simulated hematoma,the area of manual calculation is smaller than that measured by the expert assistance system for human injury identification,yet demonstrated relatively high accuracy;(2)Scanning planes parallel to the three scan baselines has the greatest impact on the imaging of top hematoma,often leading to incomplete scanning of both the top of the skull and hematoma.Conclusion When the scan of hematoma is complete,the subcap aponeurotic hematoma calculated by manual tracing is close to true values.However,incomplete scans may lead to disputable results and time-consuming and laborious manual calculations.In view of the current situation,pixel level semantic segmentation technology in the field of computer vision can be combined with the application of level set,gray reconstruction and other segmentation algorithms to obtain the three-dimensional outline of the hematoma area,so as to calculate the hematoma area and provide the most direct data analysis for judicial identification.

To realize speed regulation and safe distance maintenance of mobile robots based on obstacle detection in dynamic healthcare scenarios,a novel real-time obstacle segmentation and safe operation framework for healthcare robots is proposed.A tightly-coupled approach utilizing wheel encoders and monocular RGB images to calculate the robot's linear velocity is adopted.Concurrently,a healthcare scenario end-to-end obstacle segmentation network(HS-EOSN)model is established for precise obstacle segmentation,supplemented by a noise filtering method to accurately estimate obstacle distance.Finally,an adaptive control strategy is designed to dynamically regulate the robot's speed,thereby ensuring safety.The algorithm is tested on a developed mobile robot platform.Experimental results show that the proposed method achieves a velocity estimation error below 10%.For obstacle segmentation task,the mean average precision and mean intersection over union reach 96.87%and 94.35%,respectively;and the mean depth error is within 0.24 m.

Objective To verify the accuracy of the"manual tracing+summation method"for calculating the area of subcap aponeurotic hematoma using CT images in the practice of judicial expertise.Methods Subcap aponeurotic hematoma at different locations were simulated using"skull+colored clay plastic"model.The simulated hematoma areas were calculated via RadiAnt DICOM Viewer(64-bit)after CT scanning and compared with manual measurements.Results(1)For completely scaned simulated hematoma,the area of manual calculation is smaller than that measured by the expert assistance system for human injury identification,yet demonstrated relatively high accuracy;(2)Scanning planes parallel to the three scan baselines has the greatest impact on the imaging of top hematoma,often leading to incomplete scanning of both the top of the skull and hematoma.Conclusion When the scan of hematoma is complete,the subcap aponeurotic hematoma calculated by manual tracing is close to true values.However,incomplete scans may lead to disputable results and time-consuming and laborious manual calculations.In view of the current situation,pixel level semantic segmentation technology in the field of computer vision can be combined with the application of level set,gray reconstruction and other segmentation algorithms to obtain the three-dimensional outline of the hematoma area,so as to calculate the hematoma area and provide the most direct data analysis for judicial identification.

To realize speed regulation and safe distance maintenance of mobile robots based on obstacle detection in dynamic healthcare scenarios,a novel real-time obstacle segmentation and safe operation framework for healthcare robots is proposed.A tightly-coupled approach utilizing wheel encoders and monocular RGB images to calculate the robot's linear velocity is adopted.Concurrently,a healthcare scenario end-to-end obstacle segmentation network(HS-EOSN)model is established for precise obstacle segmentation,supplemented by a noise filtering method to accurately estimate obstacle distance.Finally,an adaptive control strategy is designed to dynamically regulate the robot's speed,thereby ensuring safety.The algorithm is tested on a developed mobile robot platform.Experimental results show that the proposed method achieves a velocity estimation error below 10%.For obstacle segmentation task,the mean average precision and mean intersection over union reach 96.87%and 94.35%,respectively;and the mean depth error is within 0.24 m.

Objective To investigate the diagnostic value of cervical vagus nerve cross-sectional area(CAS)for Parkinson's disease(PD).Methods Thirty patients with PD admitted to the People's Hospital of Zhengzhou University from October 2019 to October 2022 were selected as PD group,25 patients with multiple system atrophy(MSA)admitted to the People's Hospital of Zhengzhou University during the same period were selected as the MSA group,and 30 healthy individuals who underwent physical examination in the People's Hospital of Zhengzhou University during the same period were selected as healthy control group.Cervical vagus CAS of subjects in the three groups were measured by high-resolution ultrasound,and the difference of CAS of cervical vagus nerve was compared among the three groups.The degree of impairment of autonomic nervous function of subjects in the three groups was evaluated by PD autonomic symptom scale(SCOPA-AUT).The diagnostic value of cervical vagus nerve CAS for PD was analyzed by receiver operating characteristic(ROC)curve.Results The CAS of the right cervical vagus nerve of subjects was significantly larger than that of the left in the healthy control group and PD group(P＜0.05);there was no significant difference in CAS of bilateral cervical vagus nerve of subjects in the MSA group(P＞0.05).The CAS and average CAS of bilateral cervical vagus nerve of subjects in the PD group and MSA group were significantly lower than those in the healthy control group(P＜0.01).The CAS of the right vagus nerve of subjects in the MSA group was significantly lower than that in the PD group(P＜0.05);there was no significant difference in CAS and the average CAS of the left vagus nerve between the MSA group and the PD group(P＞0.05).The total score of SCOPA-AUT and gastrointestinal(GI),cardiovascular(CV),urinary(UR)and sexual(SX)scores of subjects in the PD group and MSA group were significantly higher than those in the healthy control group(P＜0.01).The total score of SCOPA-AUT and UR,SX scores of subjects in the MSA group were significantly higher than those in the PD group(P＜0.05).There was no significant difference in temperature(TH)and pupil(PU)of subjects among the three groups(P＞0.05).Pearson correlation analysis showed that the CAS of cervical vagus nerve of PD patients was not correlated with the total score of SCOPA-AUT and the UR,TH,PU,SX scores(r=-0.143,0.281,0.297,0.265,0.312;P＞0.05).The CAS of cervical vagus nerve of PD patients was negatively correlated with GI and CV scores(r=-0.683,-0.373;P＜0.05).ROC curve analysis showed that the area under the curve of cervical vagus nerve for diagnosing PD was 0.870(95％confidence interval:0.773-0.966,P＜0.05);the critical value was 3.064 mm2,the sensitivity was 96％,and the specificity was 67％.The area under the curve of CAS of cervical vagus nerve in differential diagnosis of PD,MSA was 0.680(95％confidence interval:0.537-0.823,P＜0.05).The sensitivity and specificity for the diagnosis of MSA were 68％and 70％when the CAS of the cervical vagus nerve＜2.709 mm2.Conclusion The CAS of cervical vagal nerve has high clinical diagnostic value for PD,and it provides a new way to improve the diagnosis rate of PD.

ObjectiveT o explore the influence of patch shape for intraventricular tunnel (IVT) construction on biomechanical performance of the double outlet right ventricle after correction. Methods Based on the idealized IVT model, a two-dimensional IVT patch was designed. Six groups of patch models with the rhombic long-to-short axis ratio of 1∶0.625, 1∶0.3, 1∶0.2, 1∶0.15, 1∶0.125, 1∶0.1 were established according to the difference between the long and short axis of the rhombus patch in the turning part, and finite element analysis method was used to numerically simulate the process of stitching, holding and propping up the patch into a three-dimensional (3D) IVT model. Results The maximum stresses on suture line of 6 patch models were mainly concentrated at acute-angle corners of the rhombus. As rhombic long-to-short axis ratio of the patch increased, the maximum stress of the IVT suture line first decreased and then increased, and the volume showed an increasing trend. The pressure difference between two ends of the tunnel first decreased and then increased. The patch with the long-to-short axis ratio of 1∶0.15 had a uniform surface stress distribution, and the maximum stress on the suture line was the smallest. Meanwhile the right ventricular volume was less encroached on, and the pressure difference at both ends of the tunnel was small. Conclusions The IVT shape can influence stresses of suture line, the right ventricle volume and the pressure difference of IVT with non-monotonic variations. The suture effect of the patch with the long-to-short axis ratio of 1∶0.15 is relatively better among the constructed models.

Thyroid cancer is the most common malignant tumor of the endocrine system, and the incidence is increasing year by year, which seriously threatens people's health. Autophagy is a programmed mode of death that can be used as a potential target for anti-tumor therapy and plays an important regulatory role. Leucine-rich repeat kinase 2 (LRRK2) is a protein kinase encoded by PARK8 gene. The recent studies have confirmed that autophagy is closely related to thyroid cancer. This paper analyzes the possible regulatory mechanism of LRRK2 affecting thyroid cancer through autophagy, providing new ideas for basic research and clinical diagnosis and treatment of thyroid cancer.

Objective:To investigate the detection rate and related factors of thyroid nodules in people with abnormal lipid metabolism.Methods:From September 4, 2016 to February 1, 2017, community residents living in Lanzhou City, Longnan City, Dingxi City and Linxia City of Gansu Province for more than 5 years were selected as the respondents. General data were recorded, venous blood was collected, blood lipid related biochemical indexes were detected, and thyroid ultrasound was performed. By comparing the general data and biochemical indexes, the detection of abnormal lipid metabolism and thyroid nodules were analyzed, and the risk factors of thyroid nodules in people with abnormal lipid metabolism were analyzed by logistic regression.Results:Two thousand and fifty-nine residents were included in this study (1 049 males and 1 010 females). The total detection rate of thyroid nodules was 23.17% (477/2 059). The detection rate of thyroid nodules in people with abnormal lipid metabolism [34.16%(151/442)] was significantly higher than that in people with normal lipid metabolism [20.16% (326/1 617) , P < 0.01], and the detection rate of thyroid nodules of women [43.37% (85/196) ] was higher than that of men [26.83% (66/246) , P < 0.01]. Among the people with abnormal lipid metabolism, the highest detection rate of thyroid nodules was in mixed hyperlipidemia [57.14% (16/28)], followed by hypertriglyceridemia [34.59% (92/266)]. The detection rates of thyroid nodules in the groups with elevated total cholesterol (TC) and low density lipoprotein cholesterol (LDL-C) levels [35.16% (32/91), 34.85% (23/66)] were higher than those in the marginal elevated group [27.04%(86/318), 30.42% (73/240)] and the normal groups [21.76% (359/1 650), 21.73% (381/1 753), P < 0.05]. The results of logistic regression analysis showed that the risk factors of thyroid nodules in people with abnormal lipid metabolism were increased age, elevated fasting blood glucose (FPG), elevated blood glucose 2 hours (2 h PG) after oral glucose tolerance test (OGTT) load and elevated glycosylated hemoglobin [HbA1c, odds ratio ( OR)=1.065, 1.387, 1.866, 1.384, P < 0.05]. Conclusions:The prevalence of TN is higher in populations with abnormal lipid metabolism. The control of blood sugar and blood lipid levels may play a role in the prevention of thyroid nodules.

Traumatic craniocerebral injury has been paid close attention by neurosurgeons at home and abroad due to its high morbidity and mortality.Cerebral contusion and intracranial hematoma caused by various injury mechanisms are the main causes of increased intracranial pressure in the acute stage of traumatic brain injury.As a classic surgical method,standard decompressive craniotomy,often together with intracranial hematoma evacuation,brain debridement and internal decompression,has become the main surgical treatment in the acute stage of traumatic brain injury,saving the lives of many patients with severe cerebral injury,the importance of this procedure is irreplaceable.In long-term clinical practice,through the unremitting efforts of first-line neurosurgeons and neuroscientists,a large number of studies have been conducted on the relationship between the details,norms and prognosis of craniotomy,so as to better regulate the treatment of traumatic brain injury and reduce the death and disability rate of patients with severe brain injury.This article systematically reviews and analyzes the pathophysiological mechanism of intracranial hypertension and the mechanism,development history,surgical methods,indications and contraindications,prognosis and prospects of the intracranial hypertension.Through this article,the author hope to have some guidance and suggestions for future clinical work.

Objective To clarify the relationship between intracranial pressure monitoring and prognosis of patients with traumatic brain injury after decompressive craniectomy.Methods From December 2015 to December 2017,48 head-injured patients in Affiliated Suzhou Hospital of Nanjing Medical University were enrolled,who were underwent decompressive craniectomy in this retrospective study.The patients were subdivided into 2 groups based on whether postoperative was monitored (n =19) or not (n =29).The prognosis was evaluated by Glasgow Outcome Scale score,with 1 point of prognosis death,2 to 3 points of poor prognosis,and 4 to 5 points of good prognosis.Count data were expressed as a percentage (％).Count data were expressed as percentage (％).The chi-square test was used to compare the difference in the rate of good prognosis and mortality between the two groups.Results The mortality of monitoring group (10.5％) was significantly lower than that of control group (37.9％) (x2 =4.365 5,P =0.036 7) during hospitalization,The rate of good prognosis in the monitoring group (68.4％) and the control group (44.8％) was not statistically significant (x2 =2.573 8,P =0.108 6).Condusion The study showed that continuous monitoring in patients with severe craniocerebral injury could reduce the mortality of patients during hospitalization,but had no significant effect on the improvement of prognosis.