Purpose To identify hemangioma(HE)and Kaposiform hemangioendothelioma(KHE)by constructing two ultrasonography-based radiomics models to evaluate the application value of two models in distinguishing HE from KHE,and to compare the diagnostic efficiency of two models.Materials and Methods A total of 90 lesions of subcutaneous HE or KHE confirmed clinically or pathologically from Henan Provincial People's Hospital from August 2020 to May 2022,were retrospectively analyzed.Imaging features were extracted by using Pyradiomics and screened out by the least absolute shrinkage and selection operator algorithm.Support vector machine and random forest were used to construct the radiomics models.Then the diagnostic efficacy of different models was compared.Results Based on the selected 10 radiomics features,the area under the curve,accuracy,sensitivity,specificity,positive and negative prediction the training group and validation group of the support vector machine model were 0.902(95%CI 0.887-0.917),92.1%,85.0%,92.3%,90.9%,93.5%and 0.827(95%CI 0.787-0.856),85.2%,70.0%,94.1%,90.9%,85.0%,respectively;and those in the training group and validation group of the random forest model were 0.960(95%CI 0.938-0.983),98.4%,96.4%,97.8%,98.1%,97.2%and 0.742(95%CI 0.699-0.785),77.8%,57.1%,82.3%,79.6%,62.5%,respectively.The area under the curve between two models in the training group and validation group was statistically significant(Z=-3.306,-2.009;P<0.05).Conclusion Ultrasonography-based radiomics can distinguish HE from KHE,support vector machine model shows more stable diagnostic performance in small sample data.

The medical-industrial fusion training model combines the knowledge and technology of medical and engineering disciplines in the training of oncology graduate students, which can help accurate diagnosis and treatment of tumors, promote cooperation and innovation in oncology research, as well as promote the cultivation and exchanges of composite and innovative medical talents in oncology, promote the innovation and development of oncology diagnostic and treatment technology, and improve the survival rate and quality of life of oncology patients. This paper discusses the application of medical-industrial fusion training model in the training of o ncology professionals, and explores the new teaching mode of medical-industrial fusion thinking in the cultivation of complex and innovative medical talents in oncology under the background of "new medical science".

With the deepening of China's medical reform, people's demand for health is growing, which promotes the construction of "new medicine" and puts forward higher requirements for the cultivation and education of medical students. Undergraduate medical education is a crucial period for the growth of medical students, and how to do a good job in undergraduate teaching under the background of "new medicine" is currently a research hotspot. The clinical teaching stage is an important period for medical students to fully understand clinical disciplines and cultivate their understanding of specialties. Therefore, we should explore new teaching methods and means to adapt to the needs of the new era. In the context of "new medicine", the medical-engineering fusion diagnosis and treatment technology has become an important trend in the clinical diagnosis and treatment of oncology. In order to adapt to this change, clinical teaching and teaching management in oncology also need new exploration and research. Taking the clinical teaching of oncology as an example, this article discusses how to cultivate medical students' thinking of medical-engineering fusion.

Objective:This study aimed to explore the performance of renal resistive index (RRI), semiquantitative power Doppler ultrasound (PDU) score, and renal venous Doppler waveform (RVDW) pattern in predicting 28-day renal dysfunction in critically ill patients and establish nomogram model.Methods:This was a prospective, observational study. Critically ill patients admitted to the emergency intensive care unit (ICU) of Cangzhou Central Hospital from January 2018 to October 2022 were included. Patients underwent renal ultrasound examination to obtain RRI, PDU score and RVDW pattern within 24 h after ICU admission. The following clinical variables were collected during the renal ultrasound examination session, including heart rate, mean arterial pressure, type and dose of vasoactive drugs, oxygen therapy parameters, and average urine volume per hour derived from a period of 6 h prior to the ultrasound examination. The data on duration of AKI and mortality were recorded on the 28th day of follow-up. Patients were divided into 28-day normal renal function group and 28-day renal dysfunction group according to 28-day renal dysfunction. 28-days of renal dysfunction was defined as failure to achieve renal function recovery within 28 days of ICU admission. The difference of each index between the two groups was compared. Associated factors for 28-day renal dysfunction were determined by univariate and multivariate COX regression analyses. A nomogram was developed based on the independently factors associated with 28-day renal dysfunction. Survival receiver operator characteristic (ROC) curves were plotted to assess diagnostic performance in predicting 28-day renal dysfunction. Delong’s test was used to compare area under the curves (AUC) between each predictor.Results:187 patients were enrolled for the final analysis: 97 with no AKI, 48 with AKI stage 1, 24 with AKI stage 2, and 18 with AKI stage 3 upon enrollment. At 28-day follow up, 16 patients had renal dysfunction and 2 required continuous renal replacement therapy (CRRT). The multivariate COX regression showed that RVDW and SCr upon enrollment were the independent risk predictors. Nomogram based on RVDW and SCr upon enrollment showed the best performance in predicting 14-day renal dysfunction (AUC = 0.918, 95% CI:0.871-0.964, P<0.05), and the AUC was statistically significantly higher than single index (all P<0.05). Nomogram also showed the best performance in predicting 28-day renal dysfunction (AUC = 0.924, 95% CI:0.865-0.983, P<0.05), and the AUC was statistically significantly higher than single index (all P<0.05) except for SCr upon enrollment. The optimal cutoff for nomogram in predicting 28-day renal dysfunction was ≤89.5 (sensitivity, 81.2%; specificity, 90.6%; Youden index, 0.719). Kaplan-Meier analysis showed that the median duration of renal dysfunction in the groups with total nomogram score >85.9 and ≤85.9 was 0 and 22 days (HR=0.220, 95% CI:0.129-0.376, P<0.001). Conclusions:SCr and RVDW pattern within 24 h from ICU admission were independent factors associated with 28-day renal dysfunction in critically ill patients. The value of the nomogram model based on these two factors in predicting 28-day renal dysfunction is superior to each single intrarenal Doppler spectrum indicator and clinical indicator.

Objective:To investigate the pathway of self-disclosure to posttraumatic growth in patients after cervical cancer surgery, and to provide reference for improving the level of posttraumatic growth in patients.Methods:A convenient sampling method was used to investigate 300 patients with cervical cancer after surgery in Shandong Provincial Hospital Affiliated to Shandong First Medical University from June to November 2022 by using general data questionnaire, Distress Disclosure Index (DDI), Connor-Davidson Resilience Scale (CD-RISC), the Shortened Chinese Version of the Family Resilience Assessment Scale (FRAS-C) and the Posttraumatic Growth Inventory (PTGI) in a cross-section study.Results:A total of 290 valid questionnaires were collected, with an effective recovery rate of 96.7%. The patients were aged 23-70(48.13 ± 10.39) years. The scores of self-disclosure, resilience, family resilience and posttraumatic growth were (46.41 ± 9.82), (67.06 ± 14.63), (108.18 ± 11.06) and (58.24 ± 17.86) respectively. The results of pathway analysis showed that self-disclosure could not only directly predict posttraumatic growth, but also indirectly predict posttraumatic growth through the mediating role of resilience and family resilience, and the chain mediating role of resilience and family resilience, respectively. The direct effect of self-disclosure on posttraumatic growth was 0.236(95% CI 0.138-0.335), and the chain mediating effect of family resilience and resilience between self-disclosure and posttraumatic growth was 0.036(95% CI 0.018-0.060). Conclusions:Medical staff should not only consider the direct influence of self-disclosure on posttraumatic growth, but also pay attention to improve the resilience and family flexibility of patients after cervical cancer surgery, so as to promote their posttraumatic growth.

Objective To investigate the related factors of early neurological deterioration in elderly patients with thrombolysis for acute occlusive stroke of large intracranial vessels. Methods Clinical materials of 480 elderly patients with thrombolysis for acute occlusive stroke of large intracranial vessels were retrospectively analyzed. The National Institutes of Health Stroke Scale (NIHSS) was used to evaluate the neurological function of patients within 72 hours after thrombectomy, and the patients were divided into deterioration group and non-deterioration group. The baseline materials were compared between the two groups, the factors of early neurological deterioration were analyzed, and the receiver operating characteristic (ROC) curve was drawn to analyze the predictive value of risk. Results Among 480 elderly patients with thrombolysis for acute occlusive stroke of large intracranial vessels, 92 cases (19.17%) had early neurological deterioration; the blood glucose level, white blood cell count, incidence of dysphagia, and incidence of coma in the deterioration group were significantly higher than those in the non-deterioration group (P < 0.05); the Logistic regression analysis showed that high level of blood glucose (95%CI, 1.203 to 1.478), high level of white blood cell count (95%CI, 1.159 to 1.408), dysphagia (95%CI, 7.049 to 31.475), and coma (95%CI, 8.375 to 43.195) were risk factors for early neurological deterioration in elderly patients with thrombolysis for acute occlusive stroke of large intracranial vessels (OR>1, P < 0.05). ROC curve results showed that blood glucose, white blood cell count, dysphagia, and coma had certain predictive value for early neurological deterioration in elderly patients with thrombolysis for acute occlusive stroke of large intracranial vessels[the area under the curve (AUC) was 0.733, 0.708, 0.707 and 0.701]; the ROC curve showed AUC was 0.934, indicating that the model was reliable and stable. Conclusion Early neurological deterioration in elderly patients with thrombolysis for acute occlusive stroke of large intracranial vessels may be related to factors such as blood glucose, white blood cell count, dysphagia, and coma. Early risk assessment and relevant intervention measures can be taken clinically to improve prognosis.

To investigate the formation of polystyrene nanoplastic-plant protein corona and its potential impact on plants, three differently modified polystyrene nanoplastics with an average particle size of 200 nm were taken to interact with the leaf proteins of Impatiens hawkeri for 2 h, 4 h, 8 h, 16 h, 24 h, and 36 h, respectively. The morphological changes were observed by scanning electron microscopy (SEM), the surface roughness was determined by atomic force microscopy (AFM), the hydrated particle size and zeta potential were determined by nanoparticle size and zeta potential analyzer, and the protein composition of the protein corona was identified by liquid chromatography-tandem mass spectrometry (LC-MS/MS). The proteins were classified in terms of biological processes, cellular components, and molecular functions to study the adsorption selection of nanoplastics to proteins, investigate the formation and characteristics of polystyrene nanoplastic-plant protein corona and predict the potential impact of protein corona on plants. The results showed that the morphological changes of the nanoplastics became clearer as the reaction time extends, as evidenced by the increase in size and roughness and the enhancement of stability, thus demonstrating the formation of protein corona. In addition, the transformation rate from soft to hard protein corona was basically the same for the three polystyrene nanoplastics in the formation of protein corona with leaf proteins under the same protein concentration conditions. Moreover, in the reaction with leaf proteins, the selective adsorption of the three nanoplastics to proteins with different isoelectric points and molecular weights differed, and the particle size and stability of the final formed protein corona also differed. Since a large portion of the protein fraction in protein corona is involved in photosynthesis, it is hypothesized that the formation of the protein corona may affect photosynthesis in I. hawkeri.
Polystyrenes/chemistry* ; Protein Corona/chemistry* ; Microplastics ; Plant Proteins ; Chromatography, Liquid ; Tandem Mass Spectrometry ; Nanoparticles/chemistry*

Ommaya reservoir implantation is generally used in the treatment of hydrocephalus and intraventricular drug administration. Ommaya reservoir implantation in the subarachnoid space of the spinal cord for the intrathecal drug administration has not been carried out in China, and only several reports can be retrieved from PubMed. About 60%-90% of untreated patients with spinal muscular atrophy type 2 (SMA2) who survive to adulthood often have complex scoliosis and joint deformities. Nusinersen is an effective drug for the treatment of SMA2. And the route of administration is intrathecal injection, which is difficult for patients with severe scoliosis. This article summarizes the process of Ommaya reservoir implantation and postoperative drug administration in a patient with complex scoliosis type SMA2, which provides a new method for clinical treatment of this disease.

Objective:To improve the longevity genetic research study design by applying self-organizing maps to select a control group for longevity study.Methods:This study included the Han population aged 90 years and above or less than 80 years who have died (control group) from the natural population-based cohort formed by the fusion of the Chinese Chronic Diseases and Risk Factors Surveillance in 2013 and the China Death Surveillance System. The subjects who died of injury, infectious diseases, parasitic diseases, and malignant tumors were excluded. The self-organizing maps method, with multiple iterations and self-organizing clustering, was used to select similar factors among the population aged 90 years and above and the control group, including demographic characteristics, diseases, living habits, social behaviors, and mental and psychological factors. The study used PLINK 1.9 software to evaluate the quality of whole genome sequencing and to conduct logistic regression of single nucleotide polymorphisms (SNPs) and longevity on autosomes. Q-Q plots were used to visualize the P value associated with SNPs and longevity. Results:There were 1 019 samples selected from the baseline of 177 099 survey participants for genome sequencing, including 517 in the longevity group and 502 in the control group. The longevity and the control groups are generally similar in smoking, drinking, diet, sleep duration, blood lipid level, and self-assessment oral health status but differ significantly in socio-economic status, physical activity time, BMI, and self-assessment health status. The whole genome sequencing results were controlled, and 4 618 216 SNPs were involved in association analysis. The Q-Q plot of longevity-related SNPs analysis results showed that the enrichment of P value 1e-4 was significantly lower than the expected P value, and significant signals were also detected among P<1e-7 regions. Conclusions:The self-organizing maps can comprehensively consider the influence of socioeconomic and behavioral risk factors and select longevity control samples among samples with actual age and cause of death in a large-scale natural population cohort to improve the efficiency of longevity genome association analysis. This study provides a methodological reference for nested case-control study sample selection from the large-scale natural population cohort.

Objective:Objective The inhibitory effect of Niuhuang Qinggan Capsule on 2019-nCoV virus was studied to provide experimental evidence for drug screening and treatment of 2019-nCoV acute respiratory disease.Methods:The 2019-nCoV virus GS048 strain was isolated and cultured by Vero-E6 cells. The solution of Niuhuang Qinggan capsule was incubated with virus in vitro to determine the change of virus titer. The effect of Niuhuang Qinggan capsule on the proliferation of 2019-nCoV virus was determined by cell culture medium method.Results:It was found that the concentration of 274.3 μg/ml was not toxic to the cells when the concentration of drugs was lower. When the drug was incubated with virus, the titer of virus decreased from 10 4.4TCID 50/ml to 10 2.8TCID 50/ml. In vitro 2019-nCoV virus culture experiment showed that the addition of the drugs reduced the cytopathy, and the logarithmic value of virus titer decreased by 40% -50%. Conclusion:In this study, in vitro inhibition experiments suggest that Niuhuang Qinggan capsule has the potential to inhibit the proliferation of 2019-nCoV. It can be used as a candidate drug to further verify the therapeutic effect of the 2019-nCoV acute respiratory disease.