Objective In response to the practical issues of pilot ground simulation ejection training relying on subjective evaluation,which requires high professionalism and lacks objectivity and systematicity,an objective evaluation system and method for ejection training based on pressure detection has been designed.Methods According to the rules of ejection training about posture,maneuver and time,and utilizing technologies such as pressure detection,infrared detection,and time-triggered detection,this paper designed separate modules for ejection posture detection,ejection timing detection,and comprehensive analysis and evaluation.These modules are closely integrated with the ejection training process,achieving objective evaluation of the ejection training.Results This system and method can provide a scientific and real-time objective evaluation of the posture,movements,and time in ejection training without affecting the normal organization and process.Conclusion The objective evaluation system can provide a new approach that is highly objective and easy to operate for comprehensively evaluating and enhancing the effectiveness of ejection training,as well as for scientifically conducting ejection training and assessment.

Objective To investigate the predictive value of perfusion imaging parameters of multi-slice spiral computed tomography (MSCT) for the poor prognosis in patients with osteonecrosis of the femoral head (ONFH). Methods A total of 118 patients with ONFH who were treated in a hospital from May 2022 to May 2023 were selected as the research subjects. All patients received 3D printing guide plate assisted with curettage of necrotic focus combined with ceramic rod implantation. According to the one-year follow-up results, patients were divided into a good prognosis group (n＝94) and a poor prognosis group (n＝24). Baseline data and MSCT perfusion imaging parameters (mean transit time [MTT], blood flow [BF], blood volume [BV]) were compared between the two groups. The correlations of MTT, BF and BV with the severity and prognosis of ONFH were analyzed. Receiver operating characteristic (ROC) curve was used to evaluate the predictive value of MSCT perfusion imaging parameters for the prognosis of ONFH patients. Results There were significant differences in the necrosis site, necrosis volume and Association Research Circulation Osseous (ARCO) staging between the two groups (P＜0.05). The MTT was shorter, BF was less and BV was less in the poor prognosis group than those in the good prognosis group (P＜0.001). MTT, BF and BV were negatively correlated with necrosis volume and ARCO staging (P＜0.001). Decreased MTT, BF, and BV were independent risk factors for poor prognosis in ONFH patients (P＜0.001). The AUC of the combination of these three parameters for predicting poor prognosis was 0.918, which was significantly better than that of independent parameter (P＜0.05). Conclusions The parameters of MSCT perfusion imaging are closely related to the condition and prognosis of ONFH patients, and are help of predicting the prognosis of ONFH patients.

Objective To establish an intelligent detection algorithm model for acute promyelocytic leukemia(M3 model)based on a contrast large model using machine learning statistical software and validate its effectiveness.Methods The data from 8 256 outpa-tients and inpatients who underwent complete blood cell analysis at Peking Union Medical College Hospital were retrieved and analyzed using the laboratory information system(LIS)and hospital information system(HIS).A M3 screening model was established and vali-dated using the data from outpatients and inpatients who underwent complete blood cell analysis at our hospital from July to October 2023.Results The M3 model demonstrated potential application value in screening for M3 disease in complete blood cell analysis,which showed certain efficacy in screening for neutrophil toxicity changes,particularly in identifying two cases of blue-green inclusion bodies in neutrophils.Conclusion The M3 model exhibited low specificity for M3 diagnosis.Future research should focus on increas-ing the number of M3-positive cases to optimize the model,ensuring high sensitivity while improving specificity.This model will provide assistance for the intelligent review of complete blood cell analysis.

Objective This study is focused on ultrasound multimodality examination,which refers to the combined use of three ultrasound examination modalities,ultrasound(US),acoustic radiation force impulse(ARFI)imaging,and contrast-enhanced ultrasound(CEUS).The purpose of this study is to analyze the value of applying ultrasound multimodality examination in the differential diagnosis of benign and malignant breast non-mass-like lesions(NMLs).Methods Cases of breast NMLs were analyzed retrospectively,and the nature of all the lesions was verified by pathological examination.Based on the gray-scale ultrasound image characteristics,the cases were classified into types Ⅰto Ⅴ,and type Ⅰ and type Ⅱ were further classified into 4 subtypes,Ⅰa,Ⅰ b,Ⅱ a,and Ⅱ b,according to whether there was also calcification,and the proportion of malignant cases in each subtype was statistically analyzed.Logistic regression models of US,US+ARFI,US+CEUS,and US+ARFI+CEUS for the diagnosis of malignant cases were established,ROC curves were drawn,the area under the curve(AUC)was calculated,and comparisons were made accordingly.The detection rate of malignant NMLs without calcification(atypical malignant NMLs)by the combination examination of US,ARFI,and CEUS was analyzed.Results A total of 407 cases were included in the study.All subjects were female,aged 22 to 81 years,with the average age being(47.0±1 1.0)years.There were 220 benign cases and 187 malignant cases.Ranked from the highest to the lowest,the malignancy proportion of the different types wasⅠb＞Ⅱb＞Ⅲ＞V＞Ⅰa＞Ⅱa＞Ⅳ.The malignant proportion of the low echo area with calcification was significantly higher than that of the lesions without calcification.The AUC(95％confidence interval[CI])for diagnosing malignant cases with the logistic regression models of US,US+ARFI,US+CEUS,and US+ARFI+CEUS were 0.895(0.862-0.927),0.908(0.878-0.937),0.921(0.893-0.948),and 0.927(0.902-0.952),respectively.Comparison of the AUC of the 4 regression models showed significant differences(P＜0.001).The detection rate of US for NMLs without calcification was 80.7％.When US was used in combination with ARFI and CEUS,86.4％of the malignant NMLs lesions without calcification could be detected if the lesion CEUS score was 4 or 5 points or if shear-wave velocity(SWV)≥4.28 m/s.Conclusion Breast NMLs with calcification show high risks of malignancy,and a pathological examination is always recommended for a conclusive diagnosis.Ultrasound multimodality examination can improve the diagnostic accuracy of breast NML without calcification.

The radiation risk caused by CT examination is of great concern. Organ dose is considered to be the most significant technical parameter for quantifying the patient radiation dose and assessing the corresponding risk. At present, the methods to obtain patient organ dose caused by CT examination mainly include physical phantom measurement, direct human body measurement, dose conversion coefficient, Monte Carlo simulation, and dose calculation software. Although different methods have their own characteristics and application, the individualization of organ dose is always the goal of radiation protection and dosimetry research. Patient-specific phantom developed with artificial intelligence and GPU-accelerated Monte Carlo simulation make it possible to calculate the patient-specific organ dose, and the patient-specific organ dose extrapolated by the CT detector signal provides a new solution.

Based on ASP.NET framework, The Intelligent Estimated System for Rational Deployment of Medical Equipment (MERDIS) is designed and developed with SQL Server 2012 database and C# language. The system is used to realize the rational deployment suggestions and evaluation of medical equipment in hospitals. The system input the data of hospital medical equipment and clinical pathway into the database, and then feedback the deployment information to users which are calculated by big data information, so as to achieve the purpose of giving rational deployment of hospital medical equipment.
Databases, Factual ; Equipment Design ; Hospitals

Objective:To investigate the clinical effect of remote injection device assisted percutaneous vertebroplasty in the treatment of osteoporotic vertebral compression fractures.Methods:Using retrospective research and analysis methods, 168 patients with osteoporotic vertebral compression fractures admitted to Heze Municipal Hospital from September 2019 to August 2020 were selected. A total of 139 cases were followed up, with a follow-up rate of 82.7%, including 22 males and 117 females, with an average age of 74.17 years. According to the different equipment used, they were divided into two groups. Seventy-two cases used remote injection device to assist percutaneous vertebroplasty (observation group), 67 cases used traditional puncture needle puncture percutaneous vertebroplasty (control group). All patients were completed follow-up at 3 months after surgery. The operation time, intraoperative blood loss, bone cement injection volume, bone cement leakage rate, VAS score and ODI score of 1 day, 1 month and 3 months after operation were observed. Measurement data were expressed as ( Mean± SD), using t test, counting data were expressed as percentage [ n(%)], using χ2 test. Results:Both groups of patients successfully completed the operation without complications such as paraplegia, pulmonary embolism, or infection. There was no statistically significant difference between the two groups in operation time of two groups[(47.71±6.05) min vs (47.61±5.66) min, t=0.100, P=0.920]. The intraoperative blood loss of the two groups was no statistically significant difference [(7.08±3.00) mL vs (8.06±3.48) mL, t=1.782, P=0.079]. The difference between two groups of the amount of bone cement injected was statistically significant, [(6.44±1.03) mL vs (5.73±1.41) mL, t=3.369, P=0.001]. The bone cement leakage rate of the observation group was 27.78% (19/72), and the control group was 43.28% (29/67), and there was statistically significant( χ2=4.382, P=0.036). The preoperative VAS score of the observation group was (6.75±1.14) , and the control group was (6.64±1.08), and there was no significant difference between two groups( t=0.583, P=0.561) The VAS scores of the observation group and the control group were (1.28±0.75) and (1.21±0.77) respectively at 1 day after surgery. There was no statistically significant difference between two groups( t=0.583, P=0.588). The VAS scores of the observation group and the control group were (0.89±0.76) and (1.09±0.67) respectively at 1 month after operation. There was no statistically significant difference between two groups( t=1.641, P=0.103). The VAS scores of the observation group and the control group were (0.74±0.63) and (0.87±0.74) respectively at 3 months after operation. There was no statistically significant difference between two groups( t=1.118, P=0.266). The preoperative ODI scores of the observation group and the control group were (60.32±7.46) and (61.96±9.76) respectively, and there was no statistically significant difference between two groups( t=1.121, P=0.264). The ODI scores of the observation group and the control group were (14.93±6.01) and (15.10±6.43) respectively at 1 day after operation, there was no statistically significant difference between two groups( t=0.161, P=0.872). The ODI scores of the observation group and the control group were (10.54±4.24) and (11.31±3.71) respectively at 1 month after operation, and there was no statistically significant difference between two groups( t=1.136, P=0.258). The ODI scores of the observation group and the control group were (10.64±3.70) and (10.39±3.74) respectively at 3 months after operation, and there was no statistically significant difference between two groups( t=0.396, P=0.693). Conclusion:Compared with traditional puncture needle puncture percutaneous vertebroplasty, the remote injection device assisted percutaneous vertebroplasty has a definite clinical effect in the treatment of osteoporotic vertebral compression fractures, and the bone cement leakage rate is low.

Objective:To analyze the clinical characteristics and pathogenesis of refractory gastroesophageal reflux disease(RGERD).Methods:The patients with acid regurgitation, heartburn and extraesophageal symptoms were enrolled in the study from November 2015 to September 2017 at Peking University Third Hospital. All the subjects filled the informed consent.Questionnaire, SCL-90, SAS and SDS scales were recorded. A 24 hour pH-impedance monitoring and esophageal high resonance manometry were carried out. According to the response to proton pump inhibitor(PPI), the patients were divided into RGERD and non-RGERD(NRGERD)groups. The clinical characteristics were compared between these two groups. Logistic regression was used to analyze the risk factors of RGERD.Results:One hundred and nineteen patients were finally enrolled in the study including 61 RGERD (51.3%) and 58 NRGERD patients (48.7%).The body mass index (BMI) and rates of, typical GER symptoms including acid regurgitation in RGERD patients were significantly lower than those in NRGERD patients ( P<0.05).While the atypical GER symptoms such as poststernal discomfort or chest pain were more common in RGERD group ( P<0.05).RGERD patients presented less acid reflux events and lower proximal segment reflux ratio than NRGERD patients. No obvious differences were found in the manometry metrics between these two groups. The scores of somatization, depression and hostility in RGERD patients by SCL-90 scales were significantly higher than those in NRGERD patients ( P<0.05), and depression score was an independent risk factor for RGERD [ OR=3.915 (95% CI1.464-10.466), P =0.007]. Conclusions:RGERD patients present more atypical symptoms and pathological non-acid reflux.Depression is an independent risk factor for RGERD.

Objective To identify the preoperative MRI findings for predicting microvascular invasion (MVI) using texture analysis (TA) on multiple MRI sequences. Methods Two hundred and fifty patients with HCC pathologically confirmed by surgery in Zhongshan Hospital from October 2015 to October 2016 were analyzed retrospectively. All patients underwent conventional MRI plain scan and dynamic contrast?enhanced examination within 2 weeks before operation. According to the ratio of 1∶1, the patients were divided into a training set (125 cases) and a test set (125 cases).The training set was used to establish a classifier to predict MVI of HCCs via the TA, and the test set was used to evaluate the performance of the classifier. An image analysis was performed using an in?house software contained a set of 2 415 features which were generated from all conventional axial sequences, including the T2WI, DWI, ADC map, and dynamic enhancement images.. A four?fold cross validation (FFCV) and sequential forward floating feature selection strategy (SFFS) were employed to select an optimal subset of features and a linear discriminant analysis (LDA) was employed to establish a classifier. The clinical laboratory examination, morphologic characteristics and quantitative analysis of conventional MR were used to compare the performance of predicting MVI with the classifier. A Chi?squared test or Fisher exact probablities test were used for categorical variables, and independent t test or Mann?Whitney U test were used for used for continuous variables. Factors with a P value less than 0.05 at univariate analyses were entered into the multivariate model to identify independent predictors. The Hosmer?Lemeshow test was performed to explain the goodness of fit of the multivariate logistic model. A receiver operating characteristic curve analysis was performed to evaluate the diagnostic performance. Results The classifier set up by the training set consists of 13 texture features. When conventional MRI texture features of test set were used to judge whether there was MVI or not, the AUC of all texture features of arterial phase (AP) was the highest (0.506 3). Univariate regression analysis showed that there were significant differences in pathological grade (P=0.026), AFP level (P=0.033), lesion edge shape (P=0.038), AP enhancement (P=0.038), and AP peritumoral enhancement (P=0.008). Multivariate binary logistic regression analysis showed that peritumoral enhancement and texture classifier assessed MVI with P values of 0.005 and 0.001,which were independent risk factors for MVI. The significance level of Hosmer Lemeshow test was 0.796, indicating the goodness of fit of acceptable models. The AUCs of single variable, combined variable (including of AFP level, irregular tumor margin, enhancement intensity in AP and peritumoral enhancement in AP) and texture classifier for MVI were 0.588 to 0.627, 0.798 and 0.733, respectively. When compared the AUC of the combination features (including of AFP level, irregular tumor margin, enhancement intensity in AP and peritumoral enhancement in AP) with the classifier to identify MVI of HCC in the test set, no significant difference was found(P=0.108 6). However, although the sensitivity of them were same as 70.73%, the specificity of the combination features was mildly higher than that of classifier (82.14% vs. 78.57%). Conclusions Combination features of AFP level, tumor margin, enhancement intensity in AP and peritumoral enhancement in AP can be used to predict MVI of HCCs. It is a new method of noninvasive evaluation of MVI before operation. The performance of the classifier made by TA was not superior to that of combination features based on clinic and conventional MR sequences.

Objective: To investigate the diagnostic value of extracellular volume (ECV) imaging by magnetic resonance imaging for liver fibrosis of hepatitis B. Methods: A retrospective analysis was recruited in patients with chronic hepatitis B, who underwent liver surgery from April to October 2017 for pathological evaluation of liver tissues, and all patients underwent Gd-EOB-DTPA-enhanced T1 mapping to calculate the liver ECV score. The correlation between ECV and staging of hepatic fibrosis and inflammatory activity were compared to clarify the diagnostic value of staging of fibrosis. Results: 66 patients were enrolled in this study. Concerning the staging of liver fibrosis, there were 13, 4, 13, 10, and 26 cases with F0, F1, F2, F3 and F4 stages, respectively. ECV values had high interobserver consistency (correlation coefficient 0.860). The ECV difference between different stages of liver fibrosis was statistically significant (F = 15.02, P < 0.001). There was a significant positive correlation between ECV and fibrosis stage (r = 0.622, P < 0.001), and weak correlation with inflammatory activity (r = 0.332, P = 0.007). Fibrosis staging was an independent factor influencing ECV (P < 0.001). The area under the receiver operator characteristic curve for the diagnosis of liver fibrosis staging F≥1, F≥3 and F4 were 0.760, 0.846 and 0.873, respectively. The diagnostic sensitivity and specificity were 64.15%, 92.31%, 77.78%, 80.00% and 88.46, 72.50%, respectively. Conclusion MRI-ECV imaging has great value for staging hepatic fibrosis of hepatitis B, and it can provide an effective method for diagnosis, staging, and evaluating the curative effect of fibrosis.