Objective:To explore the value of an integrated modeling approach combining radiomics, dosiomics, and clinical factors in the prediction of the locoregional recurrence (LRR) risk after radiotherapy for patients with locoregionally advanced hypopharyngeal squamous cell carcinoma (HPSCC), in order to provide supplementary clinical evidence and decision-making basis for personalized treatment for this rare disease characterized by low incidence and poor prognosis.Methods:The clinical images and pathological data were retrospectively enrolled from 76 HPSCC patients treated at the Peking University Cancer Hospital from October 2011 to July 2020. The planning gross tumor volumes (PGTVs) were taken as the volumes of interest (VOIs). A total of 1 316 radiomic and dosiomic features were extracted from the planning CT and dose distribution images. After stability testing, feature dimensionality reduction was achieved using least absolute shrinkage and selection operator (LASSO) regression and principal component analysis (PCA), with radiomic principal components (RPCs) and dosiomic principal components (DPCs) obtained, respectively. Using various combinations of RPCs, DPCs, and clinical variables as predictors, multivariate Cox regression models were developed after 5-fold cross-validation 100 times. The model performance was evaluated based on the Akaike information criterion (AIC) and concordance index (C-index).Results:Using two RPCs and three DPCs selected, dosiomics and radiomic Cox proportional hazards models were constructed, with C-index values of 0.781 and 0.778 and AIC values of 94.44 and 92.27, respectively. The result indicated that one RPC and three DPCs showed significant associations in Cox regression ( P < 0.05). Other prediction models were established by integrating the clinical data of patients with radiomic features, dosiomic features, or both. The prediction result demonstrated that compared to models based on individual factors or dual components, the multi-omics model yielded the highest prediction accuracy (C-index: 0.823, AIC: 84.94). Conclusions:Integrated models that combine radiomic features, dosiomic features, and clinical factors demonstrate great potential for enhancing the accuracy of LRR risk prediction. These models are expected to provide decision-making support for devising personalized treatment strategies and ultimately improve the prognosis of HPSCC patients.

Objective:To explore the value of an integrated modeling approach combining radiomics, dosiomics, and clinical factors in the prediction of the locoregional recurrence (LRR) risk after radiotherapy for patients with locoregionally advanced hypopharyngeal squamous cell carcinoma (HPSCC), in order to provide supplementary clinical evidence and decision-making basis for personalized treatment for this rare disease characterized by low incidence and poor prognosis.Methods:The clinical images and pathological data were retrospectively enrolled from 76 HPSCC patients treated at the Peking University Cancer Hospital from October 2011 to July 2020. The planning gross tumor volumes (PGTVs) were taken as the volumes of interest (VOIs). A total of 1 316 radiomic and dosiomic features were extracted from the planning CT and dose distribution images. After stability testing, feature dimensionality reduction was achieved using least absolute shrinkage and selection operator (LASSO) regression and principal component analysis (PCA), with radiomic principal components (RPCs) and dosiomic principal components (DPCs) obtained, respectively. Using various combinations of RPCs, DPCs, and clinical variables as predictors, multivariate Cox regression models were developed after 5-fold cross-validation 100 times. The model performance was evaluated based on the Akaike information criterion (AIC) and concordance index (C-index).Results:Using two RPCs and three DPCs selected, dosiomics and radiomic Cox proportional hazards models were constructed, with C-index values of 0.781 and 0.778 and AIC values of 94.44 and 92.27, respectively. The result indicated that one RPC and three DPCs showed significant associations in Cox regression ( P < 0.05). Other prediction models were established by integrating the clinical data of patients with radiomic features, dosiomic features, or both. The prediction result demonstrated that compared to models based on individual factors or dual components, the multi-omics model yielded the highest prediction accuracy (C-index: 0.823, AIC: 84.94). Conclusions:Integrated models that combine radiomic features, dosiomic features, and clinical factors demonstrate great potential for enhancing the accuracy of LRR risk prediction. These models are expected to provide decision-making support for devising personalized treatment strategies and ultimately improve the prognosis of HPSCC patients.

Objective To compare the perioperative renal function changes in patients undergoing heart transplantation (HT) and left ventricular assist device (LVAD) implantation. Methods Patients with end-stage heart failure who underwent surgical treatment at Beijing Anzhen Hospital, Capital Medical University from January 2019 to April 2024 were included. According to the surgical method, patients were divided into a HT group and a LVAD group, and the estimated glomerular filtration rate (eGFR) of patients before surgery and postoperative 1, 7, 30, 60 days was compared between the two groups. The patients with preoperative renal dysfunction were subdivided into subgroups for comparison of eGFR changes before surgery and 30 days after surgery between the two groups. Results A total of 112 patients were enrolled. There were 78 patients in the HT group, including 61 males and 17 females, aged (44.42±18.51) years. There were 34 patients in the LVAD group, including 30 males and 4 females, aged (54.94±11.37) years. Compared with the HT group, the average age of patients in the LVAD group was greater (P<0.001), body mass index was higher (P=0.008), preoperative eGFR was lower (P=0.009), and the proportions of smokers (P=0.017), alcohol drinkers (P=0.041), and diabetes mellitus (P=0.028) patients were higher. Among patients with preoperative renal dysfunction [eGFR<90 mL/(min·1.73 m2)], compared with the HT group, the postoperative eGFR of the LVAD group was significantly higher than that of the HT group, and it was significantly increased compared with that before surgery; the postoperative eGFR of the HT group was comparable to that before surgery, and more than half of the patients had a lower eGFR than before surgery. Among patients with preoperative renal dysfunction, 11 patients in the HT group received continuous renal replacement therapy, and 8 died early; 2 patients in the LVAD group received continuous renal replacement therapy, and 1 died early. Conclusion For end-stage heart failure patients with combined renal dysfunction, compared with HT, LVAD implantation enables patients to obtain better renal function benefits.

In China, more than half of heart failure patients are ischemic heart failure patients. And a large proportion of left ventricular assist device implantation patients are also ischemic heart failure patients. However, left ventricular assist device implantation in ischemic heart failure patients is facing with problems such as patient screening, coronary artery disease, small left ventricle, mitral insufficiency, and ventricular aneurysm. There are only a few retrospective studies with small sample sizes abroad trying to provide solutions to these problems. While there is a lack of systematic understanding of this issue in China. Therefore, we provide an overview of the application and progress of left ventricular assist devices in ischemic heart failure patients, aiming to help clinicians have a comprehensive understanding of this issue and provide some guidance.

Objective To explore the mechanism of melatonin(Mel)alleviating cholestatic liver injury in a mouse cholestasis model induced by cholic acid(CA)feeding.Methods A total of 15 8-week-old male C57BL/6J mice were randomly divided into control group,1％CA group,and 1％CA+Mel group,with 5 animals in each group.The control group was fed with normal chow diet,and the other 2 groups were fed with a diet containing 1％CA for 14 d to construct a model of cholestasis,and intraperitoneal injection with 100 mg/kg Mel was given to the mice from the 1％CA+Mel group.Immunohistochemical assay of α-SMA was applied for the liver tissues in the 1％CA group and the 1％CA+Mel group.The mRNA expression levels of fibrosis-related indicators in mouse liver tissue were examined by RT-qPCR.Liquid chromatography tandem mass spectrometry(LC-MS/MS)and automated biochemical analyzer were used to detect the contents of bile acids in the liver tissues and the serum of mouse,respectively.Then real-time qPCR and Western blotting were applied to detect the expression of bile acid synthesis and liver detoxification enzymes related indicators at mRNA and protein levels,respectively,to further investigate the mechanism of bile acid metabolism.Results Compared with the 1％CA group,the mRNA levels of liver fibrosis indicators(such as Tgfβ1,Col Ⅰ a1,Col Ⅱa1 and α-SMA)were significantly reduced(P＜0.05),and activation of stellate cells was obviously weakened displayed by immunohistochemical staining in the 1％CA+Mel group.The 1％CA+Mel group had notably decreased contents of bile acids in the serum and liver tissues,especially taurocholic acid and reduced mRNA levels of cholesterol 7α-hydroxylase(Cyp7a1)and Cyp8b1,while enhanced mRNA levels of hepatic detoxification enzymes Cyp2b10 and udp-glucuronosyltransferase(Ugt1a1)as well as protein levels of Cyp2b10 and sulfotransferase family 2A member 1(Sult2a1/2)when compared with the 1％CA group(P＜0.05).Conclusion Mel exerts its therapeutic effect on cholestasis by decreasing bile acid synthesis and increasing hepatic detoxification enzymes.

Objective:To realize the optimization and upgradation of the detection method of you only look once(YOLO)algorithm model based on the improved YOLO network on the ultrasound image for breast tumor.Methods:A total of 659 images of breast tumor of the Kaggle database were selected as the initially dataset,and the image annotation tool Labelimg was used to conduct pre-labeling for the detection targets in the images.According to a ratio as 7:3,629 images of the 659 images were divided into the train set and validation set,and the other 30 images were used as the test set.The convolutional block attention module(CBAM)and bidirectional feature pyramid network(BiFPN)were introduced into the original YOLO algorithm to underwent structural improvement,which was named as YOLOv5-BiFPN-CBAM.Both the train set and validation set were placed in original YOLO algorithm model and YOLOv5-BiFPN-CBAM model to conduct train,which included 200 rounds of iterative training.The obtained optimal weight files were used in the final test of test set.Results:After 200 rounds of iterative train for two kinds of models,the test results of validation set indicated that the mean values of average precision of two kinds of models were respectively 72.1%and 80.5%for all ultrasound images of breast tumor.The result,that the optimal weight file of improved model was tested by test set,indicated the test ability of improved model was significantly enhanced than that of original model for small target in image.Conclusion:Compared with the original YOLO algorithm model,the improved YOLO algorithm model has higher recognition capability for image,which also enhances precision and sensitivity in identifying small targets of ultrasound images of breast tumor.This model is helpful to improve the diagnostic efficiency in clinical practice for breast tumor.

As auxiliary artificial organ, left ventricular assist device (LVAD) can only assist the left ventricle of the human heart, but cannot completely replace the human heart. However, end-stage heart failure patients requiring LVAD implantation often suffer other anatomical comorbidities, including lesions of aorta, aortic valve, mitral valve, tricuspid valve, and coronary artery. Thus, in most cases, the implant alone is not enough and requires multiple additional cardiac and aortic procedures. However, the indications and benefits of LVAD implantation in combination with other cardiac and aortic procedures are still unclear. Previous retrospective studies have not reached consistent conclusions. There is a lack of systematic understanding of this issue in China. Therefore, we provide an overview of the integrated surgical strategy for implantation of LVAD, aiming to help clinicians have a comprehensive understanding of this issue and provide some guidance.

As auxiliary artificial organ, left ventricular assist device (LVAD) can only assist the left ventricle of the human heart, but cannot completely replace the human heart. However, end-stage heart failure patients requiring LVAD implantation often suffer other anatomical comorbidities, including lesions of aorta, aortic valve, mitral valve, tricuspid valve, and coronary artery. Thus, in most cases, the implant alone is not enough and requires multiple additional cardiac and aortic procedures. However, the indications and benefits of LVAD implantation in combination with other cardiac and aortic procedures are still unclear. Previous retrospective studies have not reached consistent conclusions. There is a lack of systematic understanding of this issue in China. Therefore, we provide an overview of the integrated surgical strategy for implantation of LVAD, aiming to help clinicians have a comprehensive understanding of this issue and provide some guidance.

Objective:To assess the clinical value of helium-free magnetocardiography(MCG) in the diagnosis of coronary artery disease(CAD).Methods:A total of 213 patients with suspected CAD undergoing MCG in Beijing Anzhen Hospital were enrolled in the study. All patients underwent coronary CT angiography/invasive coronary angiography(CCTA/ICA) within 48 hours after MCG scanning. The parameters of MCG, including magnetic field multipolarization, magnetic field unipolarization, T-wave flattened, change in magnetic field distribution at TT segment, abnormal T-peak amplitude ration of maximum to minimum, significant movement of poles, magnetic field angle deviation and abnormal distribution of positive pole were used for the evaluation of the stenosis of coronary arteries.Results:Among 213 patients, MCG scanning was completed in 193 cases(90.6%), while 20 cases were excluded for various reasons. The CCTA/ICA results were taken as gold standard, the total coincidence rate of MCG with the degree of stenosis was 88.60%(95% CI: 83.25%-92.72%), the sensitivity and specificity of MCG in the diagnosis of CAD was 89.63%(95% CI: 83.21%-94.21%) and 88.23%(95% CI:78.12%-94.78%), respectively; the positive and negative predictive value were 93.80%(95% CI:88.72%-96.68%) and 81.08%(95% CI:72.15%-87.64%), respectively. Conclusion:MCG is highly accurate in the diagnosis of CAD, it may be widely used clinically as an non-invasive method free of radiation or contrast agent.

The end of the COVID-19 infection peak in 2022 prompts a backlog of cardiovascular surgical patients to gradually return to the hospital, resulting in a surge in cardiovascular surgeries. However, against the backdrop of the COVID-19 pandemic, the clinical practice of cardiovascular surgery faces many problems. Therefore, organized by Beijing Anzhen Hospital, experts in cardiovascular surgery and related fields have formulated hospital expert experience on perioperative treatment principles of cardiovascular surgery for patients infected with COVID-19. This article summarizes the clinical decision-making of patients requiring cardiovascular surgery after COVID-19 infection, and advises on the corresponding recommendations according to the existing evidence-based medical evidence as well as the actual clinical practice experience of relevant experts. The main content of the article includes special requirements for cardiovascular surgical treatment indications in patients with COVID-19 infection, selection of surgical timing, special requirements of preoperative, intraoperative and postoperative management, etc., which aims to provide COVID-19-infected patients with guidance on rational decision-making when receiving cardiovascular surgery.