Objective To study the complexity of helical tomotherapy plans for different anatomical sites and explore its correlations with dosimetric verification.Methods A total of 71 complexity metrics of the helical tomotherapy plans executed by Accuray?planning system v.5.1.9.2 for nasopharyngeal carcinoma(n=52),breast cancer(n=19),cervical cancer(n=52)and central nervous system cancer(n=37)were analyzed.The correlations between metrics were analyzed,and principal component analysis was used for dimensionality reduction.The global complexity score(normalized plan complexity score,nPCS)was calculated.The top-contributing complexity metrics within the first 10 principal components were extracted,and a correlation analysis with the gamma passing rate was conducted.Results There was no significant correlation between most metrics.The global complexity score was different for different sites,with the highest median nPCS and the most complex plan in the head and neck cancer.The correlation analysis between the global complexity score and gamma passing rate revealed that in the central nervous system plans,CFNS90 and EPSTV1_0 had strong correlations with gamma passing rate for 3%/2 mm criterion,and a significant correlation was found between CFNS90 and gamma passing rate for 3%/3 mm criterion.Conclusion Complexity scores can quantize the complexity of helical tomotherapy plans for different sites,and certain metrics are correlated with gamma passing rate.

Qingfeitang， specialized in resolving phlegm to stop cough and producing fluid to moisten dryness， is a classic prescription inherited and developed by physicians of successive generations and has been included in the Catalogue of Ancient Classic Prescriptions （First Batch） published by the National Administration of Traditional Chinese Medicine （TCM） in 2018. Relevant ancient books data and modern literature were collected by bibliometrics to analyze the historic origin， formula composition， herb origin， preparation methods， processing methods， clinical effect， and indications of Qingfeitang. The key information of Qingfeitang was summarized to provide reference for the clinical application of the decoction. In this study， a total of 43 pieces of effective data on relevant ancient literature， including 35 ancient TCM books， were collected based on a systematic collation of relevant historic and modern literature. Results showed that "Qingfeitang" was originated from the "Renshen Qingfeitang" recorded in the Taiping Holy Prescriptions for Universal Relief from the Qing dynasty. The name of "Qinfeitang" was first recorded in the Yeshi Luyanfang written by YE Dalian in the Song dynasty. We suggested the modern dosage and usage of Qingfeitang as follows： "Scutellariae Radix of 5.60 g， Platycodon grandiflora， Poria， Tangerine， Fritillaria， and Cortex Mori of 3.73 g respectively， Angelicae Sinensis Radix， Asparagi Radix， Gardeniae Fructus， Armeniacae Semen Amarum， and Ophiopogonis Radix of 2.61 g respectively， Schisandra of 1 g， and Glycyrrhizae Radix et Rhizoma of 1.12 g， and they were taken 3 times daily. The above formula is recommended to be decocted with 400 mL of water， with 3.37 g ginger and 6 g jujubae fructus， to 320 mL， and taken after a meal， three times per day". Qingfeitang has the effect of resolving phlegm to stop cough and producing fluid to moisten dryness， specialized in treating cough， asthma， rash， and other symptoms in ancient times. Modern applications are mainly focused on the respiratory system， used for treating diseases such as bronchopneumonia and cough. The above research results provide a reference basis for the later development and research of Qingfeitang.

Objective To study the complexity of helical tomotherapy plans for different anatomical sites and explore its correlations with dosimetric verification.Methods A total of 71 complexity metrics of the helical tomotherapy plans executed by Accuray?planning system v.5.1.9.2 for nasopharyngeal carcinoma(n=52),breast cancer(n=19),cervical cancer(n=52)and central nervous system cancer(n=37)were analyzed.The correlations between metrics were analyzed,and principal component analysis was used for dimensionality reduction.The global complexity score(normalized plan complexity score,nPCS)was calculated.The top-contributing complexity metrics within the first 10 principal components were extracted,and a correlation analysis with the gamma passing rate was conducted.Results There was no significant correlation between most metrics.The global complexity score was different for different sites,with the highest median nPCS and the most complex plan in the head and neck cancer.The correlation analysis between the global complexity score and gamma passing rate revealed that in the central nervous system plans,CFNS90 and EPSTV1_0 had strong correlations with gamma passing rate for 3%/2 mm criterion,and a significant correlation was found between CFNS90 and gamma passing rate for 3%/3 mm criterion.Conclusion Complexity scores can quantize the complexity of helical tomotherapy plans for different sites,and certain metrics are correlated with gamma passing rate.

Objective To conduct hazard vulnerability analysis(HVA)in a blood bank,aimed to identify high-risk e-vents and optimize emergency management measures.Methods The risk event evaluation index system was established by referring to the Kaiser model and the situation of Guangzhou Blood Center,and risk events were ranked by risk matrix and Borda count.Results The top five events with the highest risk values identified by Kaiser model were information system e-mergencies(39.61％),extreme weather(38.03％),major public sentiment(37.86％),public health events(37.37％)and policy changes(37.24％).The results of risk matrix and Borda count revealed 1 extremely high-risk indicator as information system emergency,5 high-risk indicators with the highest risk being major public sentiment,11 medium-risk indicators with the highest risk being major medical disputes and 1 low-risk indicator as external fires.Conclusion Conducting HVA in combination with the actual situation of blood banks can effectively identify high-risk events and provide theoretical basis for improving emergency management measures.

Objective To establish a coronavirus(CoV)infection model using human nasal mucosa organoids for testing antiviral drugs and evaluate the feasibility of using human nasal mucosa organoids with viral infection as platforms for viral research and antiviral drug development.Methods Human nasal mucosa organoids were tested for susceptibility to SARS-CoV-2 and HCoV-OC43 pseudoviruses.In a P3 laboratory,nasal mucosa organoids were infected with the original strain of SARS-CoV-2 and 4 variant strains,and the infection conditions were optimized.The viral loads in the culture supernatants were measured at different time points using RT-qPCR,and immunofluorescence assay was employed to localize SARS-CoV-2 nucleocapsid protein to determine the type of the infected cells.In the optimized nasal mucosa viral infection model,the antiviral effects of camostat and bergamot extract(which were known to inhibit SARS-CoV-2)were tested and the underlying molecular mechanisms were explored.Results In the optimized nasal mucosa organoid models infected with SARS-CoV-2 and HCoV-OC43 pseudoviruses,the viral load in the culture supernatants increased significantly during the period of 2 to 24 h following the infection,which confirmed infection of the organoids by both of the pseudoviruses.The nasal mucosa organoids could be stably infected by the original SARS-CoV-2 strain and its 4 variant strains,validating successful establishment of the viral infection model,in which both camostat and bergamot extract exhibited dose-dependent antiviral effects.Conclusions Human nasal mucosa organoids with SARS-CoV-2 infection can serve as platforms for screening and testing antiviral drugs,particularly those intended for nasal administration.

Objective To establish a coronavirus(CoV)infection model using human nasal mucosa organoids for testing antiviral drugs and evaluate the feasibility of using human nasal mucosa organoids with viral infection as platforms for viral research and antiviral drug development.Methods Human nasal mucosa organoids were tested for susceptibility to SARS-CoV-2 and HCoV-OC43 pseudoviruses.In a P3 laboratory,nasal mucosa organoids were infected with the original strain of SARS-CoV-2 and 4 variant strains,and the infection conditions were optimized.The viral loads in the culture supernatants were measured at different time points using RT-qPCR,and immunofluorescence assay was employed to localize SARS-CoV-2 nucleocapsid protein to determine the type of the infected cells.In the optimized nasal mucosa viral infection model,the antiviral effects of camostat and bergamot extract(which were known to inhibit SARS-CoV-2)were tested and the underlying molecular mechanisms were explored.Results In the optimized nasal mucosa organoid models infected with SARS-CoV-2 and HCoV-OC43 pseudoviruses,the viral load in the culture supernatants increased significantly during the period of 2 to 24 h following the infection,which confirmed infection of the organoids by both of the pseudoviruses.The nasal mucosa organoids could be stably infected by the original SARS-CoV-2 strain and its 4 variant strains,validating successful establishment of the viral infection model,in which both camostat and bergamot extract exhibited dose-dependent antiviral effects.Conclusions Human nasal mucosa organoids with SARS-CoV-2 infection can serve as platforms for screening and testing antiviral drugs,particularly those intended for nasal administration.

The patient was a 55-year-old man. On February 16, 2024, he was admitted to Peking Union Medical College Hospital complaining of "weakness and poor appetite for more than half a year, and found creatinine increase for 1 week". The patient was diagnosed with multiple myeloma. During the treatment in our hospital, the patient sustained"hyponatremia"(Na 124-136 mmol/L measured by indirect ion selective electrode method), and combined with the patient′s clinical symptoms and serum osmotic pressure results (327 mOsm/kg H 2O), it was considered that hyperglobulinemia led to pseudohyponatremia. So no intervention was given. Subsequent failure to recognize pseudohyponatremia during treatment in other hospitals and the administration of hypertonic saline resulted in severe iatrogenic hypernatremia. By reviewing similar cases in our hospital, we found that hyperglobulinemia/hyperlipidemia associated pseudohyponatremia was not uncommon. This case reminds us that for patients whose serum solid phase ratio is higher than normal due to various reasons, the use of indirect ion selective electrode method to determine serum sodium is prone to false low, and direct ion selective electrode method can be used to re-test blood sodium to determine whether it is true, so as to avoid iatrogenic injury to patients.

Objective:To explore the adjustment ranges of auto-segmentation contours for organs at risk (OAR) in patients with nasopharyngeal carcinoma and assess the dosimetric impacts of the contours from varying sources on radiotherapy plans.Methods:Twenty-five patients with early-stage nasopharyngeal carcinoma were investigated. Through expert delineation, deep learning-based automatic delineation, and atlas-based automatic delineation of their spinal cord, brainstem, optic nerves, optic chiasm, parotid glands, oral cavity, hypopharynx, and mandible, as well as expert correction of these automatic delineations, five structure sets were formed. Moreover, the contours delineated by experts (also referred to as the expert contours) of the target volumes and other OARs were copied into the images for subsequent research. The Dice similarity coefficients (DSCs) of the structure sets were calculated. Using the radiotherapy plans optimized based on expert contours as templates, the radiotherapy plans and dose distributions of all the structure sets were established. The expert contours and contours determined using automatic delineation and corrected by experts (also referred to as the corrected contours) were defined as clinical contours. Then, three research objectives were set: the dosimetric effects of inter-observer clinical contour variations, the impacts of contour variations on plan optimization, and the impacts of contour variations on plan evaluation.Results:The average DSC of the visual pathway was 0.62±0.10, lower than that of other OARs (0.86±0.04). After expert correction, the DSCs of contours obtained using deep learning- and atlas-based automatic delineation increased by 7.61% and 10.69%, respectively. For the dosimetric effects of inner-observer contour variations, the Dmax of the optic chiasm was the maximum (3.96±6.02)Gy, while the Dmean of the hypopharynx was the minimum (0.81±0.55 Gy). When the impacts of contour variations on plan optimization were assessed based on expert contours, the dose differences (Δ D) exceeding ±3 Gy accounted for 22%, 14%, 46%, and 42%, respectively for the spinal cord, brainstem, optic nerve, and optic chiasm and accounted for only 2% for other OARs. After expert correction, the Δ D between automatic and expert contours decreased, with Δ D exceeding ±3 Gy decreased by 16% and 14%, respectively for the optic nerves and optic chiasm. When the average distance of the overlap volume histogram (OVH) exceeded 3.5 cm, all Δ Dmax fell within ±3 Gy. When the average distance of OVH was greater than 1.5 cm, all Δ Dmean fell within ±2 Gy. For contours obtained using deep learning and atlas-based automatic delineation, the doses of 50.0%±17.3% and 52.6%±19.3% of patients fell within the dose ranges of clinical contours, respectively. The numbers of patients for whom the Dmax of the spinal cord, optic nerve, optic chiasm and the D1 cm 3 of the mandible in the two types of automatic contours fell within the dose ranges of clinical contours were statistically different ( t = -4.24, -3.99, -3.16, 3.51, P < 0.05). Conclusions:After expert correction, the automatic delineation results from different sources exhibited certain geometric differences. The expert correction reduced the impacts of automatic contours on plan optimization. The average distance of OVH is identified as an important feature used to determine dose differences. For small-volume serial organs close to the target volumes, meticulous corrections are required before applying auto-segmentation to clinical practice.

This article introduced the policy background and the development of administration standards on drug electronic certificate,analyzed the current status and main problems of electronic certificate standards for drug regulation,elaborated the process of formulating standards,and explained the main contents of the standards.Combined with the application status of the standards,this paper offered suggestions to optimize and improve the standards.It provided guidance for local drug administration agencies to implement electronic certificates,and offered a foundation for the interoperability and mutual recognition of drug administration electronic certificates throughout the country.

This paper discussed the historic evolution of Juanbitang and similar decoctions， clarified the historic development of Yangshi Juanbitang and Chengshi Juanbitang， and probed into the key information of the meaning， original plants， processing methods， and modern dosage and usage of Chengshi Juanbitang. A total of 267 pieces of relevant information were collected from ancient traditional Chinese medicine （TCM） books， among which 53 pieces of effective data were included in this study. The results showed that both Chenshi Juanbitang and Yangshi Juanbitang were originated from Duhuo Jishengtang recoded in the Important Prescriptions Worth a Thousand Gold for Emergency （Bei Ji Qian Jin Yao Fang）. According to the standard of "1 qian roughly equals 3.73 g" in the measurement system of the Qing Dynasty， we suggest Chenshi Juanbitang is composed of 3.73 g Notopterygii Rhizoma et Radix， 3.73 g Angelicae Pubescentis Radix， 3.73 g Gentianae Macrophyllae Radix， 11.19 g Angelicae Sinensis Radix， 11.19 g Mori Ramulus， 2.61 g Chuanxiong Rhizoma， 1.87 g Cinnamomi Cortex， 1.87 g stir-fried Glycyrrhizae Radix et Rhizoma， 7.46 g Piperis Kadsurae Caulis， 2.98 g Olibanum， and 2.98 g Aucklandiae Radix， which should be decocted with 600 mL water to reach a volume of 300 mL. The decoction should be taken 3 times a day before meals. Juanbitang， a classical formula specialized for treating impediment diseases， has the effects of dispelling wind， removing dryness， and alleviating impediment to relieve pain. It can be used for treating vexing pain in body， spasm of nape and back， and heaviness in waists and legs. Modern studies have shown that Juanbitang can be used for treating rheumatoid arthritis， knee osteoarthritis， and periarthritis of shoulder. The above results served as a reference for the future development of Juanbitang.