Using high-energy proton to image the region of interest can directly obtain the accurate estimation of the proton stopping power of the lesions,which is of great significance to reduce the range uncertainty in proton therapy.As a fundamental function of proton computed tomography(CT),radiographic imaging plays a crucial role in assisting clinical positioning.The study develops a compact proton CT detector based on an active array pixel CMOS chip in Monte-Carlo simulation toolkit Geant4,and evaluates the radiographic imaging capability of the system using 180 MeV protons.The angles of tracks are successfully reconstructed.CTP404,CTP528,and the CTP515 of specific materials are used for simulation,obtaining the spatial and density resolutions,and measuring the proton relative stopping power(RSP).The image signal-to-noise ratio is improved when using 2° proton scattering angle cut-off value.The spatial resolution is 3-4 lp/cm measured using CTP528 module.The density resolution is better than 0.05 g/cm3,and the RSP resolution is within 5%when CTP404 module is used.Through the imaging of CTP515 phantom of specific material,it is demonstrated that the system has potential for imaging common human tissues.

Objective The contents of 11 nucleosides and base components in 10 batches of samples from 5 provinces(cities)including Chongqing,Yunnan and Shaanxi were determined,and the differences in nucleosides and base components in Fritillaria taipaiensis were compared by chemometric analysis,and the quality was comprehensively evaluated,so as to provide a reference for the cultivation of excellent varieties and the selection of medicinal materials.Methods Nucleoside and base components were extracted from Fritillaria taipaiensis by ultrasonication in aqueous solutions,and the content of each component was determined by HPLC-DAD method.The origin was classified by principal component analysis(PCA)and hierarchical cluster analysis(HCA).Partial least squares discriminant analysis(PLS-DA)was used to determine the differentiated index components in Fritillaria taipaiensis.Then the differences in the contents of the index components among samples from different origins were compared.Results It was found that 11 nucleoside and base components differed significantly among different origins of Fritillaria taipaiensis.Principal component analysis and hierarchical cluster analysis indicated that all samples could be clustered into 4 categories.Five characteristic components,including uracil,cytosine,uridine,inosine,and adenosine,were identified by PLS-DA.The nucleosides and bases in samples from Chongqing and Hubei were relatively high,and the quality of the samples was comparatively superior.Conclusion This method is simple,reproducible,accurate and reliable.It has screened out the index nucleoside and base components in the identification of Fritillaria taipaiensis of different origins,which can be used to initially elucidate the differences of samples between different origins.Additionally,it can better reflect the quality of Fritillaria taipaiensis,and can provide reference for the selection of procurement origin and the quality control for Fritillaria taipaiensis.

Objective To investigate the risk factors of in-hospital mortality and establish a risk prediction model for patients receiving venoarterial extracorporeal membrane oxygenation(VA-ECMO).Methods We retrospectively collected the data of 302 patients receiving VA-ECMO in ICU of 3 hospitals in Guangdong Province between January,2015 and January,2022 using a convenience sampling method.The patients were divided into a derivation cohort(201 cases)and a validation cohort(101 cases).Univariate and multivariate logistic regression analyses were used to analyze the risk factors for in-hospital death of these patients,based on which a risk prediction model was established in the form of a nomogram.The receiver operator characteristic(ROC)curve,calibration curve and clinical decision curve were used to evaluate the discrimination ability,calibration and clinical validity of this model.Results The in-hospital mortality risk prediction model was established based the risk factors including hypertension(OR=3.694,95%CI:1.582-8.621),continuous renal replacement therapy(OR=9.661,95%CI:4.103-22.745),elevated Na2+ level(OR=1.048,95%CI:1.003-1.095)and increased hemoglobin level(OR=0.987,95%CI:0.977-0.998).In the derivation cohort,the area under the ROC curve(AUC)of this model was 0.829(95%CI:0.770-0.889),greater than those of the 4 single factors(all AUC<0.800),APACHE Ⅱ Score(AUC=0.777,95%CI:0.714-0.840)and the SOFA Score(AUC=0.721,95%CI:0.647-0.796).The results of internal validation showed that the AUC of the model was 0.774(95%CI:0.679-0.869),and the goodness of fit test showed a good fitting of this model(χ2=4.629,P>0.05).Conclusion The risk prediction model for in-hospital mortality of patients on VA-ECMO has good differentiation,calibration and clinical effectiveness and outperforms the commonly used disease severity scoring system,and thus can be used for assessing disease severity and prognostic risk level in critically ill patients.

Objective:To investigate the value of myocardium scar area in predicting adverse cardiovascular events (MACEs) after coronary artery bypass grafting (CABG) in patients with ischemic cardiomyopathy (ICM).Methods:The first part of this study was a retrospective study. Patients diagnosed with ICM and undergoing CABG surgery at Beijing Anzhen Hospital, Capital Medical University from January 2017 to December 2022 were enrolled as the discovery cohort. All patients underwent cardiac magnetic resonance-late gadolinium enhancement (CMR-LGE) before surgery. According to the occurrence of postoperative MACEs, the patients were divided into MACEs group and MACEs-free group. Preoperative clinical and imaging data, intraoperative and postoperative data were collected and compared between the two groups. The primary endpoint was postoperative MACEs. Univariate and multifactor regression analyses were used to analyze the risk factors for MACEs. Receiver operating characteristic (ROC) curves were constructed to evaluate the predictive efficacy and optimal cut-off value of myocardial scar area for endpoint events. The second part of this study was a prospective study. Patients with ICM who received CABG at Beijing Anzhen Hospital, Capital Medical University from January 2023 to June 2023 were enrolled as a validation cohort, and were divided into MACEs group and MACEs-free group according to whether MACEs occurred after surgery. Preoperative clinical and imaging data, intraoperative and postoperative data were collected and compared between the two groups. Verify the reliability of the cut-off value obtained by ROC curve in the validation cohort.Results:A total of 120 patients with ICM (30 patients in MACEs group and 90 patients in MACEs-free group), aged (61.6±8.7) years, including 93 males, were included in the discovery cohort. A total of 22 ICM patients (5 patients in MACEs group and 17 patients in MACEs-free group), aged (59.5±8.2) years, including 18 males, were included in the validation cohort. Multivariate Cox regression showed that myocardial scar area ( HR=1.258, 95% CI 1.096-1.444, P=0.001) was an independent risk factor for the primary endpoint event. The area under ROC curve of myocardial scar area for predicting postoperative MACEs was 0.90 (95% CI 0.83-0.95), and myocardial scar area≥36.0% was the optimal cut-off value for predicting postoperative MACEs, and its sensitivity, specificity and accuracy were 96.7%, 72.2% and 78.3%, respectively. In the validation cohort, the sensitivity, specificity and accuracy of myocardial scar area in predicting postoperative MACEs in patients with ICM after CABG were 80.0%, 82.4% and 81.8%, respectively. Conclusion:Myocardial scar area is an independent risk factor for MACEs after CABG in patients with ICM, and myocardial scar area≥36.0% is the optimal cut-off value for predicting MACEs after CABG. Myocardial scar area can help to identify patients at high risk of surgery and provide a basis for risk stratification of patients.

Objective To investigate the risk factors of in-hospital mortality and establish a risk prediction model for patients receiving venoarterial extracorporeal membrane oxygenation(VA-ECMO).Methods We retrospectively collected the data of 302 patients receiving VA-ECMO in ICU of 3 hospitals in Guangdong Province between January,2015 and January,2022 using a convenience sampling method.The patients were divided into a derivation cohort(201 cases)and a validation cohort(101 cases).Univariate and multivariate logistic regression analyses were used to analyze the risk factors for in-hospital death of these patients,based on which a risk prediction model was established in the form of a nomogram.The receiver operator characteristic(ROC)curve,calibration curve and clinical decision curve were used to evaluate the discrimination ability,calibration and clinical validity of this model.Results The in-hospital mortality risk prediction model was established based the risk factors including hypertension(OR=3.694,95%CI:1.582-8.621),continuous renal replacement therapy(OR=9.661,95%CI:4.103-22.745),elevated Na2+ level(OR=1.048,95%CI:1.003-1.095)and increased hemoglobin level(OR=0.987,95%CI:0.977-0.998).In the derivation cohort,the area under the ROC curve(AUC)of this model was 0.829(95%CI:0.770-0.889),greater than those of the 4 single factors(all AUC<0.800),APACHE Ⅱ Score(AUC=0.777,95%CI:0.714-0.840)and the SOFA Score(AUC=0.721,95%CI:0.647-0.796).The results of internal validation showed that the AUC of the model was 0.774(95%CI:0.679-0.869),and the goodness of fit test showed a good fitting of this model(χ2=4.629,P>0.05).Conclusion The risk prediction model for in-hospital mortality of patients on VA-ECMO has good differentiation,calibration and clinical effectiveness and outperforms the commonly used disease severity scoring system,and thus can be used for assessing disease severity and prognostic risk level in critically ill patients.

Hepatocellular carcinoma (HCC) is the most common liver malignancy, where HCC segmentation and prediction of the degree of pathological differentiation are two important tasks in surgical treatment and prognosis evaluation. Existing methods usually solve these two problems independently without considering the correlation of the two tasks. In this paper, we propose a multi-task learning model that aims to accomplish the segmentation task and classification task simultaneously. The model consists of a segmentation subnet and a classification subnet. A multi-scale feature fusion method is proposed in the classification subnet to improve the classification accuracy, and a boundary-aware attention is designed in the segmentation subnet to solve the problem of tumor over-segmentation. A dynamic weighted average multi-task loss is used to make the model achieve optimal performance in both tasks simultaneously. The experimental results of this method on 295 HCC patients are superior to other multi-task learning methods, with a Dice similarity coefficient (Dice) of (83.9 ± 0.88)% on the segmentation task, while the average recall is (86.08 ± 0.83)% and an F1 score is (80.05 ± 1.7)% on the classification task. The results show that the multi-task learning method proposed in this paper can perform the classification task and segmentation task well at the same time, which can provide theoretical reference for clinical diagnosis and treatment of HCC patients.
Humans ; Carcinoma, Hepatocellular ; Liver Neoplasms ; Learning

Metabolic reprogramming is a hallmark of cancer, including lung cancer. However, the exact underlying mechanism and therapeutic potential are largely unknown. Here we report that protein arginine methyltransferase 6 (PRMT6) is highly expressed in lung cancer and is required for cell metabolism, tumorigenicity, and cisplatin response of lung cancer. PRMT6 regulated the oxidative pentose phosphate pathway (PPP) flux and glycolysis pathway in human lung cancer by increasing the activity of 6-phospho-gluconate dehydrogenase (6PGD) and α-enolase (ENO1). Furthermore, PRMT6 methylated R324 of 6PGD to enhancing its activity; while methylation at R9 and R372 of ENO1 promotes formation of active ENO1 dimers and 2-phosphoglycerate (2-PG) binding to ENO1, respectively. Lastly, targeting PRMT6 blocked the oxidative PPP flux, glycolysis pathway, and tumor growth, as well as enhanced the anti-tumor effects of cisplatin in lung cancer. Together, this study demonstrates that PRMT6 acts as a post-translational modification (PTM) regulator of glucose metabolism, which leads to the pathogenesis of lung cancer. It was proven that the PRMT6-6PGD/ENO1 regulatory axis is an important determinant of carcinogenesis and may become a promising cancer therapeutic strategy.

Humans ; RNA, Long Noncoding/genetics* ; MicroRNAs/genetics* ; Cell Line, Tumor ; Inflammation/genetics* ; Apolipoproteins E ; Apoptosis

Objective:To analyze the characteristics of adverse events of active medical devices in Shandong province, as well as the impact of device use duration on the risk rate of adverse events, for reference in improving the monitoring system of active medical device adverse events in China and the level of hospital medical quality management.Methods:The data came from the adverse event reporting data of active medical devices collected by Shandong Adverse Drug Reaction Monitoring Center from January 2019 to October 2021. The R software was used to analyze the distribution, cause and severity of adverse events, and a linear regression model of adverse event risk rate(Y) and adverse event time point(X) was established.Results:A total of 35 254 adverse events of active devices were included, of which 3 059 were serious injuries. The province/municipality with the largest number of reported adverse events was Shanghai(8 006 cases), and the least was Hainan province(4 cases); The majority of adverse events were reported by hospitals, with 34 056(96.60%). The medical devices reporting a higher number of adverse events were ventilators(688 cases), monitors(4 623 cases), infusion pumps(1 079 cases), syringe infusion pumps(1 995 cases), medical electron accelerators(529 cases)and infant incubators(513 cases). In the linear regression model, the risk rate of adverse events increased with the useduration of the device when 0.00%≤ X<14.14%; the risk rate of adverse events decreased with the increase of service time when 14.14%≤ X<100.00%. Conclusions:The number of adverse events reported in each province is different, and hospitals are the main reporting units.The causes of adverse events of different medical devices indicate different correlation strengths with the product itself. The use duration of medical devices poses a great impact on the risk rate of adverse events.

Objective:To clarify the anatomical characteristics and adjacent relationship of the superior segment of the inferior vena cava during laparoscopic surgery.Methods:In December 2018, two frozen and two fresh adult cadavers were dissected. The chest of the frozen cadavers was opened along the bilateral midline of the clavicle, the anterior pericardial wall was opened, and the superior vena cava and the inferior vena cava was dissected. The abdominal cavity was opened along the midline of the abdomen, the left and right hepatic lobes were turned over, the inferior vena cava and the second hilum of the posterior segment of the liver were exposed, and the hiatus of the inferior vena cava was opened and entered the pericardium.The anatomical characteristics and adjacent relationship of the superior segment of the inferior vena cava were observed, and the length of the superior segment of the inferior vena cava was measured. The fresh frozen cadaver patients underwent laparoscopic surgery.Five 12 mm trocars were placed at the side of umbilicus, right rectus abdominis about 4 cm from umbilicus, midline of abdomen about 6 cm above umbilicus, right axillary front about 2 cm below inferior edge of liver, left midline of clavicle about 2 cm below inferior edge of liver. Laparoscopic-assisted turning of the left and right hepatic lobes, exposing the posterior inferior vena cava and the second hilum of the liver, opening of the vena cava hiatus into the pericardium.The anatomical characteristics and adjacent relationship of the upper diaphragmatic segment of the inferior vena cava were observed.Results:In two autopsies, the inferior vena cava entered the chest through the cava sulcus of the liver and the phrenic foramen cava, and then through the fibrous pericardium into the right atrium. The length from the diaphragm of inferior vena cava to the right atrium was 1.67 cm, 2.57 cm. In laparoscopic operation, the diaphragm entrance of the posterior segment of the liver inferior vena cava, the second hepatic portal and the inferior vena cava could be well exposed.The diaphragm could be opened along the hole of the vena cava with a relatively non vascular anatomical layer of adipose tissue.There was a large anatomical gap between the pericardium and the right atrium, and the inferior vena cava, the superior vena cava and the right atrium could be well exposed, and the whole diaphragm could be completely and continuously exposed from the bottom to the inferior vena cava at the entrance segment of the right atrium.Conclusions:There was a relatively avascular anatomical layer beside the inferior vena cava. During laparoscopic operation, opening the diaphragm through the abdominal cavity could safely enter the pericardium and expose the inferior vena cava, the superior vena cava and the right atrium, which provides a possibility for the removal of Mayo Ⅳ grade inferior vena cava tumor thrombus through this approach.