Objective:To explore the application effect of high-fidelity intelligent simulator combined with scenario simulation for emergency response training in the Department of Radiology, and to improve the emergency preparedness of medical, nursing, and technical staff in managing contrast agent adverse reactions.Methods:From January to July 2024, 132 medical, nursing, and technical staff from the Department of Radiology of a tertiary hospital in Chengdu City, China were selected as the training subjects. The high-fidelity intelligent simulator combined with scenario simulation teaching mode was used to conduct emergency response training for the participants. The differences in theoretical knowledge and post competence regarding contrast agent adverse reactions among the staff were compared before and after the training. A self-made questionnaire was used to investigate their needs and satisfaction of the emergency response training. SPSS 26.0 was used for data analysis. The differences in theoretical knowledge and post competence scores before and after training were compared using the paired samples t test. Results:After the training, the average score of theoretical knowledge examination increased from (84.32±10.19) points to (90.34±7.87) points, and the difference was statistically significant ( P<0.001). After the training, the scores of knowledge reserve, operational skills, situational decision-making ability, professional literacy, comprehensive literacy, and overall post competency were all significantly higher than those before the training ( P<0.05). The satisfaction score of emergency response training was (4.17±0.25) points. Conclusions:High-fidelity intelligent simulator combined with scenario simulation training improved the emergency preparedness and teamwork of radiology staff in clinical emergencies. The training received high recognition and satisfaction from the participants, which is of great significance for clinical emergency response and patient safety.

Objective:To predict the occurrence of chronic radiation enteritis (CRE) in cervical cancer patients by developing a prediction model based on the combination of radiomic features derived from magnetic resonance imaging (MRI) scans and clinical parameters, in order to provide a reference for clinicians to determine the prognosis of these patients and offer them individualized diagnosis and treatment.Methods:A retrospective analysis was conducted on 111 cervical cancer patients who received radical radiotherapy at the First Affiliated Hospital of Anhui Medical University. Radiological features were extracted from the T1-weighted MRI images of local lesions of cervical cancer obtained before the radiotherapy. Features were selected using the least absolute shrinkage and selection operator (LASSO) to obtain the radiomics score. The radiomics scores and clinical parameters were assessed using univariate and multivariate logistic regression analyses, followed by the establishment of nomograms. The ability of radiomics to achieve CRE prediction was assessed using the area under the curve (AUC) and the calibration and decision curves.Results:Multivariate logistic regression analysis result revealed that the independent risk factors for identifying CRE in patients included radiomics score ( HR: 17.457, 95% CI: 5.540-55.009, P<0.001), tumor volume ( HR: 3.617, 95% CI: 1.293-10.115, P=0.014), and pelvic lymph node metastasis ( HR: 3.559, 95% CI: 1.013-12.501, P=0.048). The model combining radiomics and clinical data demonstrated high performance, with its AUCs of the training and validation groups (0.888 and 0.870, respectively) higher than those of the radiomics model (0.842 and 0.804, respectively) and the clinical data model (0.721 and 0.704, respectively). The analyses of calibration and decision curves confirmed the application value of clinical radiomic nomograms. Conclusions:The model combining radiomics and clinical data allows for accurate CRE prediction. Therefore, radiomic features have the potential to serve as a promising imaging biomarker for CRE.

Objective:To explore the application effect of high-fidelity intelligent simulator combined with scenario simulation for emergency response training in the Department of Radiology, and to improve the emergency preparedness of medical, nursing, and technical staff in managing contrast agent adverse reactions.Methods:From January to July 2024, 132 medical, nursing, and technical staff from the Department of Radiology of a tertiary hospital in Chengdu City, China were selected as the training subjects. The high-fidelity intelligent simulator combined with scenario simulation teaching mode was used to conduct emergency response training for the participants. The differences in theoretical knowledge and post competence regarding contrast agent adverse reactions among the staff were compared before and after the training. A self-made questionnaire was used to investigate their needs and satisfaction of the emergency response training. SPSS 26.0 was used for data analysis. The differences in theoretical knowledge and post competence scores before and after training were compared using the paired samples t test. Results:After the training, the average score of theoretical knowledge examination increased from (84.32±10.19) points to (90.34±7.87) points, and the difference was statistically significant ( P<0.001). After the training, the scores of knowledge reserve, operational skills, situational decision-making ability, professional literacy, comprehensive literacy, and overall post competency were all significantly higher than those before the training ( P<0.05). The satisfaction score of emergency response training was (4.17±0.25) points. Conclusions:High-fidelity intelligent simulator combined with scenario simulation training improved the emergency preparedness and teamwork of radiology staff in clinical emergencies. The training received high recognition and satisfaction from the participants, which is of great significance for clinical emergency response and patient safety.

Objective:To predict the occurrence of chronic radiation enteritis (CRE) in cervical cancer patients by developing a prediction model based on the combination of radiomic features derived from magnetic resonance imaging (MRI) scans and clinical parameters, in order to provide a reference for clinicians to determine the prognosis of these patients and offer them individualized diagnosis and treatment.Methods:A retrospective analysis was conducted on 111 cervical cancer patients who received radical radiotherapy at the First Affiliated Hospital of Anhui Medical University. Radiological features were extracted from the T1-weighted MRI images of local lesions of cervical cancer obtained before the radiotherapy. Features were selected using the least absolute shrinkage and selection operator (LASSO) to obtain the radiomics score. The radiomics scores and clinical parameters were assessed using univariate and multivariate logistic regression analyses, followed by the establishment of nomograms. The ability of radiomics to achieve CRE prediction was assessed using the area under the curve (AUC) and the calibration and decision curves.Results:Multivariate logistic regression analysis result revealed that the independent risk factors for identifying CRE in patients included radiomics score ( HR: 17.457, 95% CI: 5.540-55.009, P<0.001), tumor volume ( HR: 3.617, 95% CI: 1.293-10.115, P=0.014), and pelvic lymph node metastasis ( HR: 3.559, 95% CI: 1.013-12.501, P=0.048). The model combining radiomics and clinical data demonstrated high performance, with its AUCs of the training and validation groups (0.888 and 0.870, respectively) higher than those of the radiomics model (0.842 and 0.804, respectively) and the clinical data model (0.721 and 0.704, respectively). The analyses of calibration and decision curves confirmed the application value of clinical radiomic nomograms. Conclusions:The model combining radiomics and clinical data allows for accurate CRE prediction. Therefore, radiomic features have the potential to serve as a promising imaging biomarker for CRE.

Objective To evaluate the therapeutic efficacy of stereotactic body radiotherapy (SBRT) with gamma knife on stage Ⅰ-Ⅱ non-small-cell lung cancer(NSCLC)and the quality of life of the patients undergoing this therapy.Methods Twenty NSCLC patients with the median age of 76,10 at stage Ⅰ and 10 at stage Ⅱ who were unable or unwilling to undergo surgery were given SBRT with gamma knife at the doses of 3-6 Gy in 8-15 fractions,finished within 2 to 3 weeks.The prescription isodose line was 50％,the marginal dose was 39-56 Gy,the central dose was 78-112 Gy,and the total biologically effective dose was 51-83 Gy.The patients were observed after admission and followed up by chest CT 1,3,6,and 12 months after treatment until progressive disease or death.EORTC QLQ-LC43 questionnaire was used to investigate the changes in quality of life.Results The 20 patients were followed up for 24 (12-46) months.At six months after the treatment,the overall response rate was 80％,and the complete response rate was 35％.The 1,2 and 3-year local control rates were 100％,95％ and 95％,respectively.The 1,2 and 3-year overall survival rates were 95％,80％ and 50％ respectively; The 1,2,and 3-year progression free survival rates were 85％,64％ and 33％,respectively.The failure rate was 20％ and the rate of progress within the planning target volume was 5％.No acute toxicity at grade 3 and over occurred in any patient during the treatment.15％ of the patients developed grade 1-2 radiation pneumonia.Age,gender,pathologic index or not were weakly correlated with the overall survival.The emotional function was improved significantly after treatment (P ＜ 0.05),dyspnea and cough were improved at different degrees,however,not significantly.There were no significant changes in the physical function and symptoms,such as fatigue,lack of appetite,insomnia,etc.Conclusions Significantly improving the motional function and maintaining the quality of life,SBRT with gamma knife is effective for elderly NSCLC patients with high local control rate fair overall survival rate and few side effects.

AIM:To investigate pharmacokinetics of cinnamon acid and paeonol in Jinkui Shenqi Pill(Radix Rehmanniae Praeparata,Cortex Cinnamomi,Radix Aconiti Lateralis praeparata,Rhizoma Alismatis,etc.)in rabbit.METHODS:RP-HPLC was used to examine blood concentration of cinnamon acid and paeonol in rabbit which was administred Jinkui Shenqi Pill.Chromatographic condition consisted of Symmetry C_ 18(5?m,3.9 mm ?150 mm)chromato graphic column,mobile phase(methanol-1%glacial acetic acid water-solution(45∶55)),flow rate(0.8 mL/min),column temperature(35 ℃),detection wavelength of cinnamon acid(285 nm),detection wave length of paeonol(274 nm).The serum pharmacokinetic parameters were calculated with 3p87 program.RESULTS:Linear range of cinnamon acid ranged from 0.06 ?g/mL to 15 ?g/mL(r=0.999 7),the lowest detectability was 0.054 ?g/mL.Pharmacokinetic process of paeonol in rabbit could be fitted to two-compartment model;Linear range of paeonol ranged from 0.2 ?g/mL to 10 ?g/mL(r=0.999 9),the lowest detectability was 0.02 ?g/mL.Pharmacokinetic process of cinnamon acid in rabbit could be fitted to one-compartment model.CONCLUSION:HPLC detection of serum concentration of cinnamon acid and paeonol is simple,rapid,highly accurate and sensitive.Pharmacokinetic parameters can reveal pharmacokinetics of cinnamon acid and paeonol of Jinkui Shenqi Pill in rabbit.