With the widespread application of nuclear technology,the prevention and treatment of radiation damage have become significant issues in the fields of public health and medicine.This article reviews the adverse drug reactions and their monitoring for radioprotective drugs,and discusses their post-marketing re-evaluation in terms of safety,efficacy,economics,and quality standards.Research indicates that while there is a wide variety of radioprotective drugs,safety concerns are prevalent.Future efforts should focus on strengthening the monitoring and management of adverse drug reactions,optimizing drug safety,and exploring the potential of combined drug applications through multidisciplinary collaboration to enhance anti-radiation efficacy.

With the widespread application of nuclear technology,the prevention and treatment of radiation damage have become significant issues in the fields of public health and medicine.This article reviews the adverse drug reactions and their monitoring for radioprotective drugs,and discusses their post-marketing re-evaluation in terms of safety,efficacy,economics,and quality standards.Research indicates that while there is a wide variety of radioprotective drugs,safety concerns are prevalent.Future efforts should focus on strengthening the monitoring and management of adverse drug reactions,optimizing drug safety,and exploring the potential of combined drug applications through multidisciplinary collaboration to enhance anti-radiation efficacy.

Objective:To analyze the anatomical characteristics of the adrenal veins through adrenal venography to improve the success rate of adrenal venography (AVS).Methods:This study was a cross-sectional study. Patients who were diagnosed with primary aldosteronism and underwent AVS from January 2019 to October 2023 at the First Affiliated Hospital of Dalian Medical University were included. Adrenal vein imaging was collected from the enrolled patients. We performed statistical analysis on the adrenal vein orifice position, inflow angle, and adrenal venography morphology. The adrenal venous orifice was defined as the location where the catheter was placed at the end of the calm inhalation. Spearman correlation analysis was used to explore the relationship between the positions of bilateral adrenal vein orifices and body mass index (BMI).Results:A total of 282 patients with successful bilateral AVS and complete bilateral adrenal vein imaging were enrolled, of whom 57.1% (161/282) were male and the age was (53.3±10.7) years old. The orifice of the left adrenal vein was located between the middle segment of the 11 th thoracic vertebra and the upper segment of the 2 nd lumbar vertebra. The inflow angle relative to the position of the orifice was all leftward and upward. The orifice of the right adrenal vein was located between the upper segment of the 11 th thoracic vertebra and the lower segment of the 1 st lumbar vertebra, and 91.1% (257/282) had a rightward and downward angle of inflow relative to the position of the orifice. The position of the adrenal vein orifices on both the left ( r=0.211, P<0.001) and right ( r=0.196, P=0.001) showed positive correlation with BMI. The position of the right adrenal vein orifice also increased with the position of the left adrenal orifice ( r=0.530, P<0.001). The most common adrenal venography morphology on the right side was triangular (36.5%, 103/282), while the most common venography morphology on the left side was glandular (66.3%, 187/282). Conclusions:The anatomical morphology of adrenal veins are diverse. Being familiar with the morphological characteristics of the adrenal vein and identifying the adrenal vein accurately during surgery has important clinical value in improving the success rate of AVS.

Vaccines are among the most effec-tive measures for preventing infectious diseases and play a crucial role in controlling the spread of these diseases.Adjuvants,serving as auxiliary com-ponents in vaccines,are indispensable in the vac-cine development process.Ideal adjuvants not only enhance the immune response,enabling the body to achieve optimal protective immunity but also play important roles in reducing the dosage of im-munogens and lowering vaccine production costs.To meet the demands of novel vaccines,many new types of adjuvants have been developed.However,there is still a lack of adjuvants that are safe,effec-tive,easy to prepare,highly pure,and suitable for a variety of vaccines in clinical settings.This article categorizes adjuvants and summarizes their mecha-nisms of action and characteristics,focusing on tra-ditional aluminum salt adjuvants and more modern lipid-based and nucleic acid-based adjuvants.The summary is based on a computer search of data-bases including PubMed,Embase,The Cochrane Li-brary,CNKI(China National Knowledge Infrastruc-ture),VIP Database,and Wanfang Database,using English search keywords such as Adjuvants,Vac-cine,Vaccine Adjuvant,aluminum salts,MF59,AS03,Toll-like receptor agonist,etc.,and corre-sponding Chinese search terms.The aim is to pro-vide references for the development and applica-tion of adjuvants.

Targeted radiation therapy using radionuclides is a favored approach for treating tumors.This procedure involves the delivery of drugs to the lesion site via carriers or interventional methods,followed by the emission of radiation energy that selectively irradiates the lesion tissue.This approach minimizes damage to normal tissue and achieves the desired therapeutic effect.Factors such as the type of therapeutic radionuclide,radiation energy,physical half-life,method of preparation,and toxicity determine their clinical application.In this paper,the characteristics and clinical application of therapeutic radionuclides were reviewed to providing reference for the clinical application of targeted therapeutic radionuclides.

Nuclear medicine plays an indispensable role in the diagnosis,treatment,and prognosis of a wide range of diseases.Nuclear medicine using radionuclides for diagnosis has the advantages of accuracy,speed,high sensitivity and high resolution.Currently,several radionuclides play pivotal roles in disease diagnosis.This article primarily examines the clinical application and research of diagnostic radionuclides,including 18 F,89 Zr,68 Ga,99m Tc,131 I,123 I,and 11 C.The objective is to offer valuable insights for disease diagnosis and staging of diseases.

Hypoxia is one of the factors restricting the survival of people at high altitudes, which can cause various symptoms such as vomiting, diarrhea, palpitations, shortness of breath and acute coma. About 80% of patients with acute mountain sickness have at least one symptom of a gastrointestinal distress (e. g., anorexia, nausea, diarrhea, vomiting, etc.). The pathological characteristics, pathogenesis and drug treatment of intestinal injury caused by high-altitude hypoxia were studied, which is conducive to the diagnosis and treatment of plateau gastrointestinal diseases. Therefore, by summarized relevant literature and systematically expounds the related researches on intestinal damage caused by high altitude hypoxia. We summarized the changes of intestinal morphology, intestinal cells, intestinal flora and other intestinal homeostasis caused by high altitude hypoxia, the mechanism of intestinal inflammation and oxidative damage, and the treatment of traditional Chinese medicine, which provide reference and information for reference for scientific research workers and clinicians.

Objective:To investigate the value of mind map combined with blended teaching in improving the teaching quality of medicinal botany. Methods:A total of 102 students studying the course of medicinal botany were enrolled as subjects. The 51 students in the class of 2020 were enrolled as control group and received conventional teaching, and the 51 students in the class of 2021 were enrolled as observation group and received mind map combined with blended teaching. The two groups were assessed in terms of examination scores, critical thinking ability scores, self-learning ability scores, and student feedback on teaching quality. SPSS 22.0 was used for the t-test and the chi-square test. Results:Compared with the control group, the observation group had significantly higher examination scores ( t=3.01 and 3.14, P=0.003 and 0.002). After practice, both groups had increases in the scores of critical thinking ability and self-learning ability, and the observation group had significantly higher scores than the control group ( t=11.22 and 2.69, P<0.001 and P=0.008). Compared with the control group, the observation group had a better student feedback on teaching quality than the control group ( t=6.79, 7.83, 7.26, 7.43, and 8.54, P=0.009, 0.005, 0.007, 0.006, and 0.003). Conclusion:The combination of mind map and blended teaching can improve the examination scores of students and their critical thinking ability and self-learning ability, and students believe that this teaching model can help to improve teaching quality.

Objective:To introduce the early results of total aortic arch replacement (TAA) without cardiopulmonary bypass (CPB) and without interruption of cerebral blood supply, using the technique of arch branches preferential reconstruction and whole brain perfusion for brain protection.Methods:Between June 2020 and March 2021, a total of 9 Stanford type A aortic dissection patients we performed total arch replacement by using the technique of arch branches preferential reconstruction and whole brain perfusion without cardiopulmonary bypass and without interruption of blood supply to the brain. The method of this reconstruction technique is as follows: A 24F aortic cannula was inserted into the true lumen at the root of the transverse innominate artery (IA) to connect one end of the artery for cardiopulmonary bypass. The access was connected to 14F artery via Y-connector and inserted into IA cavity to maintain blood supply to brain. Without cardiopulmonary bypass, the 10 mm branch of the four branch artificial blood vessel was anastomosed with the innominate artery IA. The perfusion collateral was connected to the second end of the artery of CPB (single pump and double tubes) to continue to supply blood for IA. The left common carotid artery (LCA) and left subclavian artery (LSCA) were reconstructed by the same method. When IA and LCA were anastomosed, the distal blood supply was not interrupted. After the three branches of the aortic arch were anastomosed, we started to turn the machine, then cooled down and blocked the ascending aorta to further complete the operation of the aortic root and arch. During the period of lower body circulatory arrest, the whole brain was perfused with low flow.Results:No intraoperative death or perioperative complications occurred in all patients, and they were discharged smoothly. The cardiopulmonary bypass time was (192.4±58.1) min, the aortic clamping time was (128.3±52.4) min, the lower body circulatory arrest time was (29.1±1.3) min, and the postoperative awake time was (8.2±3.7) h.Conclusion:Off-pump arch branches preferential reconstruction can provide physiological whole brain perfusion, shorten the cardiopulmonary bypass time and aortic occlusion time, and the operation is safe and effective.

Objective:To develop a grading prediction model of traumatic hemorrhage volume based on deep learning and assist in predicting traumatic hemorrhage volume.Methods:A retrospective observational study was conducted based on the experimental data of pig gunshot wounds in the time-effect assessment database for experiments on war-traumatized animals constructed by the General Hospital of the Chinese People's Liberation Army. The hemorrhage volume data of the study population were extracted, and the animals were divided into 0-300 mL, 301-600 mL, and > 600 mL groups according to the hemorrhage volume. Using vital signs indexes as the predictive variables and hemorrhage volume grading as the outcome variable, trauma hemorrhage volume grading prediction models were developed based on four traditional machine learning and ten deep learning methods. Using laboratory test indexes as predictive variables and hemorrhage volume grading as outcome variables, trauma hemorrhage volume grading prediction models were developed based on the above fourteen methods. The effect of the two groups of models was evaluated by accuracy and area under the receiver operator characteristic curve (AUC), and the optimal models in the two groups were mixed to obtain hybrid model 1. Feature selection was conducted according to the genetic algorithm, and hybrid model 2 was constructed according to the best feature combination. Finally, hybrid model 2 was deployed in the animal experiment database system.Results:Ninety-six traumatic animals in the database were enrolled, including 27 pigs in the 0-300 mL group, 40 in the 301-600 mL group, and 29 in the > 600 mL group. Among the fourteen models based on vital signs indexes, fully convolutional network (FCN) model was the best [accuracy: 60.0%, AUC and 95% confidence interval (95% CI) was 0.699 (0.671-0.727)]. Among the fourteen models based on laboratory test indexes, recurrent neural network (RNN) model was the best [accuracy: 68.9%, AUC (95% CI) was 0.845 (0.829-0.860)]. After mixing the FCN and RNN models, the hybrid model 1, namely RNN-FCN model was obtained, and the performance of the model was improved [accuracy: 74.2%, AUC (95% CI) was 0.847 (0.833-0.862)]. Feature selection was carried out by genetic algorithm, and the hybrid model 2, namely RNN-FCN* model, was constructed according to the selected feature combination, which further improved the model performance [accuracy: 80.5%, AUC (95% CI) was 0.880 (0.868-0.893)]. The hybrid model 2 contained ten indexes, including mean arterial pressure (MAP), hematocrit (HCT), platelet count (PLT), lactic acid, arterial partial pressure of carbon dioxide (PaCO 2), Total CO 2, blood sodium, anion gap (AG), fibrinogen (FIB), international normalized ratio (INR). Finally, the RNN-FCN* model was deployed in the database system, which realized automatic, continuous, efficient, intelligent, and grading prediction of hemorrhage volume in traumatic animals. Conclusion:Based on deep learning, a grading prediction model of traumatic hemorrhage volume was developed and deployed in the information system to realize the intelligent grading prediction of traumatic animal hemorrhage volume.