Traditional Chinese Medicine (TCM), as a treasure of the Chinese nation, plays a significant role in maintaining public health. In 2019, the Central Committee of the Communist Party of China and the State Council proposed for the first time the establishment of a TCM registration and evaluation evidence system that integrates TCM theory, "personal experience" and clinical trials (referred to as the "Three-in-One" System) to promote the inheritance and innovation of TCM. Subsequently, the National Medical Products Administration issued several guiding principles to advance the improvement and implementation of this system. Owing to the complexity of its implementation, there are still differing understandings within the TCM industry regarding the positioning of the "Three-in-One" Registration and Evaluation Evidence System, as well as the connotation and value orientation of the "personal experience." To address this, Academician WANG Qi, President of the TCM Association, China International Exchange and Promotion Association for Medical and Healthcare and TCM master, led a group of academicians, TCM masters, TCM pharmacology experts and clinical TCM experts to convene a "Seminar on Promoting the Implementation of the ′Three-in-One′ Registration and Evaluation Evidence System for Chinese Medicinals." Through extensive discussions, an expert consensus was formed, clarifying the different roles of the TCM theory, "personal experience" and clinical trials within the system. It was further emphasized that the "personal experience" is the core of this system, and its data should be derived from clinical practice scenarios. In the future, the improvement of this system will require collaborative efforts across multiple fields to promote the high-quality development of the Chinese medicinal industry.

Objective:To investigate the clinical value of multiparametric myocardial imaging using a dual-layer detector spectral CT in the non-invasive preoperative assessment of patients with coronary atherosclerotic heart disease (CHD) undergoing percutaneous coronary intervention (PCI).Methods:The clinical and imaging data of 90 patients who underwent coronary CT angiography (CCTA) with dual-layer spectral detector CT and invasive coronary angiography (ICA) within 30 days at the Affiliated Changshu Hospital of Nantong University from January 2021 to October 2022 were retrospectively analyzed. A total of 189 coronary arteries were included in the study cohort. The patients were divided into PCI ( n=44) and non-PCI groups ( n=46) according to whether they received PCI after evaluation with ICA. The diameter stenosis rate of the coronary arteries, myocardial iodine concentration (IC) and effective atomic number (Z eff) values were obtained from CCTA conventional and spectral images. The IC values and Z eff values of the myocardium in the areas with abnormal perfusion were compared with those in the areas with normal perfusion. The diagnostic performance of these parameters, as well as their combined model, was evaluated and compared using receiver operating characteristic (ROC) curve and area under the curve (AUC) in the pre-PCI assessment of patients with CHD. Results:Baseline patient data did not show statistically significant differences between the PCI and non-PCI groups (all P>0.05). There were statistically significant differences in IC values [(0.42±0.28) and (2.26±0.48) mg/ml] and Z eff values (7.39±0.33 and 8.50±0.25) between the myocardium areas with abnormal perfusion and the myocardium areas with normal perfusion in all patients (all P<0.001). The AUC for assessing whether patients with CHD need PCI treatment using myocardial IC and Z eff values were 0.865 and 0.853, respectively, which were significantly higher than assessment based only on lumen diameter stenosis rate (AUC=0.726, P<0.001). Conclusions:The IC and Z eff derived from myocardial spectral images can be used to diagnose myocardial perfusion abnormalities in patients with CHD. The spectral myocardial multi-parameters imaging shows promising potentials in pre-PCI assessment of patients with CHD, which can improve the efficiency of evaluation and may help to avoid unnecessarily invasive procedures.

Objective To compare the different therapeutic efficacies between radiofrequency and cryoballoon ablation in atrial fibrillation(AF)patients with enlarged left atrium.Methods A total of 106 AF patients with enlarged left atrium(LAVI)>34ml/m2 who visited our center between December 2016 and May 2022 for catheter ablation were enrolled.They were divided into radiofrequency group(R-group)and cryoballoon group(C-group)according to the procedure.The recurrence of AF was compared between the two groups.Results The median follow-up time was 12 months and no death occurred.The rate of loss of follow-up was 3.8%.The overall recurrence rate of AF after ablation was 36.8%.There was no significant difference in clinical baseline between the two groups(P>0.05).The radiofrequency group had longer operation time(P<0.001),shorter X-ray time and less exposure(P<0.05);There was no significant difference in clinical baseline and postoperative complications between the two groups(P>0.05).The results of survival analysis showed that there was no significant difference in the survival rate of patients without atrial fibrillation/atrial flutter/atrial tachycardia between the two groups(P>0.05).Conclusion For AF patients with enlarged left atrium,the clinical effects of the two methods were similar.Cryoballoon takes a shorter time,while radiofrequency has a lower X-ray time and exposure dose for physicians and patients.Therefore,appropriate ablation methods should be selected according to the actual situation.

Colorectal cancer is a common malignant tumor of the digestive system globally, with both its incidence and mortality rates increasing annually in China. In recent years, there has been exponential growth in technology based on artificial intelligence, leading to significant advancements in the field of medical imaging diagnosis. Particularly in the application of colonoscopy, CT and magnetic resonance imaging (MRI), artificial intelligence, leveraging its advanced image recognition and feature analysis capabilities, has provided new perspectives for the diagnosis of colorectal cancer, thereby driving the realization of precision medicine. Currently, various artificial intelligence algorithms are either under development or optimization, such as performance comparisons of various artificial intelligence-assisted systems, the collaborative application of multiple algorithms, and integration with other omics. Additionally, challenges persist in the integration difficulty, interpre-tability and credibility, as well as cost and resource limitations of AI in clinical practice, necessitating further standardization and improvement. The authors explore the current status and progress of artificial intelligence in endoscopic and imaging diagnosis of colorectal cancer from four aspects: colonoscopy, CT, MRI and other imaging examination for reference and reference by peers.

Objective To explore the medication law of Professor Wang Qingguo for the treatment of insomnia based on data mining technology.Methods Paper-based prescriptions for Professor Wang Qingguo's treatment of insomnia from December 2016 to August 2023 were collected and a database was constructed.The screened prescriptions were subjected to data mining such as frequency statistics,association rule analysis,and clustering analysis.Results Totally 399 effective outpatient prescriptions were screened-out,involving 276 kinds of Chinese materia medica,with a total frequency of 6738 times.There were 38 Chinese materia medica with a frequency of use≥50.The properties were mainly warm,cold and mild,the tastes were mainly sweet,bitter and pungent,and mainly belong to the lung,spleen and heart meridians.Association rule analysis showed that the most commonly used drug combinations were"Fructus Tritici Levis-Scutellariae Radix-Bupleuri Radix","Pericarpium Citri Reticulatae-Scutellariae Radix-Pinelliae Rhizoma",etc.Association rule network analysis obtained a core prescription containing 12 kinds of Chinese materia medica for insomnia.Four new drug combinations were obtained by clustering analysis.Conclusion Professor Wang's treatment of insomnia has the characteristics of following the original meaning of Huang Di Nei Jing and Nan Jing,making good use of the classical prescription,applying combined prescription,flexible use of prescription,combining ancient and modern prescriptions,using specific medicine.It deeply reflects the academic view of"Tongping Zhihe".

Inflammation-driven endothelial dysfunction is the major initiating factor in atherosclerosis, while the underlying mechanism remains elusive. Here, we report that the non-canonical stimulator of interferon genes (STING)-PKR-like ER kinase (PERK) pathway was significantly activated in both human and mice atherosclerotic arteries. Typically, STING activation leads to the activation of interferon regulatory factor 3 (IRF3) and nuclear factor-kappa B (NF-κB)/p65, thereby facilitating IFN signals and inflammation. In contrast, our study reveals the activated non-canonical STING-PERK pathway increases scaffold protein bromodomain protein 4 (BRD4) expression, which encourages the formation of super-enhancers on the proximal promoter regions of the proinflammatory cytokines, thereby enabling the transactivation of these cytokines by integrating activated IRF3 and NF-κB via a condensation process. Endothelium-specific STING and BRD4 deficiency significantly decreased the plaque area and inflammation. Mechanistically, this pathway is triggered by leaked mitochondrial DNA (mtDNA) via mitochondrial permeability transition pore (mPTP), formed by voltage-dependent anion channel 1 (VDAC1) oligomer interaction with oxidized mtDNA upon cholesterol oxidation stimulation. Especially, compared to macrophages, endothelial STING activation plays a more pronounced role in atherosclerosis. We propose a non-canonical STING-PERK pathway-dependent epigenetic paradigm in atherosclerosis that integrates IRF3, NF-κB and BRD4 in inflammatory responses, which provides emerging therapeutic modalities for vascular endothelial dysfunction.

Objective:To investigate the application value of CT and MRI imageomics based on machine learning method in the diagnosis of pancreatic cancer.Methods:The clinical data of 62 patients with surgically resected and pathologically confirmed pancreatic cancer, who underwent enhanced CT scan, MRI plain or enhanced scan in Shanghai General Hospital between January 2014 and December 2021 were collected. According to the chronological order of surgery, 49 patients from January 2014 to December 2020 were enrolled in the training set and 13 patients from January 2021 to December 2021 were enrolled in the validation set. 3D-slicer 4.8.1 software was used to draw the region of interest in each layer of CT and MRI images for cancerous and paracancerous tissue segment. Image features were extracted by Python and the optimal feature set from the training set data was obtained by using Lasso regression model. The machine learning decision tree model was constructed. The receiver operating characteristic curve(ROC) curve was drawn, and the area under the curve (AUC) was calculated to evaluate the value of these three kinds of imageomics models in the diagnosis of pancreatic cancer.Results:The 1 767 CT features and 1 674 MRI features were obtained from enhanced CT scan, MRI plain scan and enhanced MRI scan, respectively. For the differential diagnosis model of cancerous tissue and paracancerous tissue, the enhanced CT scan data model obtained the optimal feature set involving 6 features, the MRI plain scan model obtained the optimal feature set involving 16 features, and the enhanced MRI scan model obtained the optimal feature set involving 15 features. The diagnostic model based on enhanced CT scan had an AUC of 0.98 in the training set and 1 in the verification group. The AUC of the MRI plain scan and enhanced MRI scan models in both the training set and the validation set was 1. The specificity and sensitivity of machine learning decision tree model based on the three kinds of imageomics models in the diagnosis of cancerous tissue and paracancerous tissue were 100%. For the differential diagnosis model of splenic artery wrapping, the enhanced CT scan model didn′t obtain the optimal features and had no diagnostic efficacy. The MRI plain scan model and enhanced MRI scan model obtained the optimal feature set involving 5 and 4 features, respectively. The AUC of the MRI plain scan model in the training set and the validation set were 0.862 and 0.750, respectively, with diagnostic sensitivity of 93.8% and 50.0%, and specificity of 78.6% and 100%, respectively. The AUC of the enhanced MRI scan model in the training set and the validation set were 0.950 and 0.861, respectively, with diagnostic sensitivity of 90.0% and 93.6%, and specificity of 100% and 78.6%, respectively.Conclusions:Based on the radiomics of CT enhanced, MRI plain scan and enhanced MRI scan, the machine learning diagnostic model has an accuracy of more than 90% in differentiating pancreatic cancer from paracancerous tissue. For the differentiation of splenic artery wrapping in pancreatic cancer, the diagnostic model based on enhanced MRI scan haS the best diagnostic efficiency.

Objective To investigate radiation doses to examinees undergoing computed tomography (CT) scanning of different body parts (the head, chest, and abdomen) in medical institutions of Shijiazhuang, China, and to provide a reference for optimizing radiation protection for examinees in medical institutions. Methods March 2021 to March 2022, eleven medical institutions of radiation monitoring in Shijiazhuang were surveyed for the basic information, scanning parameters, and dosimetric data of a total of 930 adults and children who received CT examinations. The dosimetric data of the subjects were analyzed and compared with the domestic and international diagnostic reference levels and the results of other cities in China. Results In the above hospitals, the CTDI_vol(P₅₀) of CT subjects in children's group were 17.42-50.45 mGy, 2.13-14.01 mGy and 3.58-28.20 mGy, respectively. DLP(P₅₀) ranges from 228.87 to 966.97 mGy·cm, 33.20 to 296.03 mGy·cm, and 74.90 to 926.53 mGy·cm, respectively. In the adult group, the CTDI_vol(P₅₀) in the head, chest and abdomen of CT subjects were 37.28-54.05 mGy, 6.43-14.99 mGy and 8.28-18.75 mGy, respectively. DLP(P₅₀) ranges from 372.81 to 630.56 mGy·cm, from 219.77 to 467.93 mGy·cm, and from 313.86 to 689.87 mGy·cm, respectively. The distribution of radiation doses in different-grade hospitals varied greatly. The abdomen dose of the children's hospital was higher than other hospitals. Especially the primary hospitals were significantly higher than the recommended diagnostic reference level (DRL). Conclusion In some secondary and primary hospitals, the setting of CT scanning parameters was simplified, not specific to the subjects’ age and body types. They should strictly comply with the principal of optimizing radiation protection to strengthen radiation dose optimization and supervision, reducing the radiation dose of examinees in future examinations .

Objective To investigate the protective effect of berberine (BBR) against ionizing radiation injury in rats and its mechanism of action. Methods Sprague-Dawley rats were divided into seven groups: normal control group, 1-Gy radiation group, 1-Gy radiation plus low-dose BBR (50 mg/kg) group, 1-Gy radiation plus high-dose BBR (150 mg/kg) group, 3-Gy radiation group, 3-Gy radiation plus low-dose BBR (50 mg/kg) group, and 3-Gy radiation plus high-dose BBR (150 mg/kg) group. All the groups except the normal control group were exposed to external irradiation with a medical electron linear accelerator, followed by BBR administration by gavage for consecutive ten days. The serum levels of superoxide dismutase (SOD), reduced glutathione (GSH), and malondialdehyde (MDA) were measured by using the micromethod. The pathological changes of the bone marrow and small intestine were observed with HE staining. Results Compared with the normal control group, the radiation groups showed significantly increased MDA levels (P < 0.05), significantly decreased SOD and GSH levels (P < 0.05), and more severe pathological damage of the bone marrow and small intestine. Compared with the radiation groups, the BBR groups showed significantly decreased MDA levels (P < 0.05), significantly increased SOD and GSH levels (P < 0.05), and reduced pathological damage to the bone marrow and small intestine, which were more marked in the high-dose BBR group. Conclusion BBR has a certain protective effect against radiation injury in rats, which may be through increasing the activity of antioxidant substances, enhancing free radical clearance, and thereby alleviating free radicals-caused oxidative damage.

Objective:To analyze the clinical features, diagnosis, treatment and prognosis of nodular fasciitis (NF) in the head and neck.Methods:Seven cases of primary NF in the head and neck admitted to Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology from 1990 to 2022 were retrospectively analyzed, including 3 males and 4 females, aged from 2 to 67 years, and the location, course of disease, clinical manifestations, imaging findings, and treatment results of the disease were summarized.Results:Of the 7 patients, the primary sites were respectively nasal vestibule, paranasal sinus, nasal dorsum, sella turcica and clivus, neck, subglottis, and tonsil. Three cases presented with rapidly growing subcutaneous painless masses within 2 months, 1 case presented with hemoptysis, hoarseness and asthma for 28 days, 1 case presented with blood in the nasal discharge for 2 months, 1 case presented with headache for 1 month, and 1 case was found to have tonsillar neoplasms on physical examination for 3 days. CT was performed in 5 patients and the lesions showed soft tissue density shadows, and MRI was also performed in 2 of them, which showed T1 isointensity or T2 slightly long abnormal signal shadows. All patients underwent simple surgical resection of the mass. The patients were followed up for 13 months to 10 years, and none had recurrence.Conclusion:Primary NF in the head and neck is rare, with atypical clinical symptoms and imaging findings. Surgery is the mainstay of treatment for NF with good results.