OBJECTIVE To construct a predictive model for evaluating the efficacy of a triple antiemetic regimen （neurokinin- 1 receptor antagonist+5-hydroxytryptamine 3 receptor antagonist+dexamethasone） for preventing nausea and vomiting induced by highly emetogenic chemotherapy （HEC） based on interpretable deep learning algorithms. METHODS Clinical data of cancer patients who received HEC and were treated with the standard triple antiemetic regimen in the oncology department of Tianjin Medical University General Hospital from January 2018 to December 2022 were collected retrospectively. Demographic， clinical and metabolism-related variables were integrated. After data pre-processing， two deep learning algorithms （deep random forest and dense neural network） and four machine learning algorithms （support vector machine， categorical boosting， random forest and decision tree） were used to build predictive models. Subsequently， model performance evaluation and model interpretability analysis were conducted. RESULTS Among the six candidate models， the deep random forest model demonstrated the best predictive performance on the test set， with an area under the receiver operating characteristic curve of 0.850， an accuracy of 0.911， a precision of 0.805， a recall of 0.783， an F1 score of 0.793， and a Brier score of 0.075. Interpretability analysis revealed that creatinine clearance rate （Ccr） was the key predictive factor， and low Ccr levels， female gender， younger age， highly emetogenic drugs （particularly cisplatin-containing chemotherapy regimens）， and anticipatory nausea and vomiting were positively correlated with the risk of HEC-related nausea and vomiting. CONCLUSIONS The deep random forest model exhibits the best performance in predicting the efficacy of triple antiemetic regimen for preventing HEC-related nausea and vomiting. The key predictors in this model primarily include Ccr，anticipatory nausea and vomiting， gender， age， and highly emetogenic drugs.

Objective To investigate the association between low-level ionizing radiation exposure and peripheral blood parameters in medical radiation workers, and to provide evidence for radiation protection strategies and occupational health surveillance. Methods A total of 1261 medical radiation workers from medical institutions in Heze City, Shandong Province, China, were enrolled. Individual monitoring of occupational external exposure was performed. Demographic characteristics and physical examination data were collected. According to the median annual effective dose, the subjects were stratified into a low-dose group (0.10-0.43 mSv) and a high-dose group (>0.43-5.24 mSv). Logistic regression was used to assess the association between ionizing radiation and peripheral blood parameters. Subgroup analyses were conducted by gender, age, and exposure duration. Results A total of 1261 subjects were enrolled, of whom 893 (70.82%) were male and 368 (29.18%) were female. The median age was 39.00 (32.00, 47.00) years and the median exposure duration was 11.00 (5.00, 22.00) years. No statistically significant differences in baseline characteristics were observed between the two groups. The radiation dose ranged from 0.104 to 5.239 mSv, all below the occupational exposure limit (20 mSv). Basophil count, hematocrit, and mean corpuscular volume in the high-dose group were significantly higher than those in the low-dose group, while mean corpuscular hemoglobin concentration was lower (P<0.05). Logistic regression analysis showed that ionizing radiation primarily affected erythrocyte parameters, with abnormal hematocrit (OR=1.449, 95%CI: 1.148-1.831), abnormal mean corpuscular volume (OR=1.407, 95%CI: 1.119-1.771), and abnormal mean corpuscular hemoglobin concentration (OR=1.608, 95%CI: 1.278-2.025) positively associated with ionizing radiation exposure. Subgroup analyses further revealed differences that were not observed in the total population These findings suggest that gender, age, and exposure duration may modify the effect of ionizing radiation on peripheral blood parameters. Conclusion Long-term low-level ionizing radiation exposure can affect peripheral blood parameters in medical radiation workers, particularly erythrocyte parameters. Enhanced occupational health monitoring and protection measures are warranted.

Lung cancer constitutes the most prevalent and lethal malignant tumor in China. Approximately 85% of lung cancer diagnoses correspond to the non-small cell histological subtype [non-small cell lung cancer (NSCLC)]. Despite surgery being the mainstay for early-stage disease, postoperative recurrence remains high and adjuvant chemotherapy offers limited benefit. In recent years, targeted therapy has demonstrated substantial advantages in driver mutation-positive NSCLC. To this end, the Lung Cancer Medical Education Committee of the Chinese Medical Education Association developed guidelines based on a systematic review of evidence through November 2025, using the Grading of Recommendations, Assessment, Development and Evaluations (GRADE) approach and a modified Delphi method. Focusing on epidermal growth factor receptor (EGFR) and anaplastic lymphoma kinase (ALK), and addressing ROS proto-oncogene 1 (ROS1), B-Raf proto-oncogene serine/threonine kinase (BRAF) V600E mutation, and mesenchymal-epithelial transition factor (MET) exon 14 (METex14) skipping, the guideline covers molecular testing, neoadjuvant/adjuvant therapy, perioperative strategies, minimal residual disease monitoring, and postoperative surveillance. It defines testing requirements, specifies stage-directed and subtype-specific treatments, and standardizes minimal residual disease monitoring. These recommendations emphasize precision and feasibility to improve survival and quality of life.

Foodborne illnesses caused by Salmonella pose significant threats to worldwide public health safety.In this study,a rapid method for screening viable Salmonella in oyster sauce and milk was developed by utilizing an electronic microbial growth analyzer(EMGA).Target food samples were diluted 10-fold with RVS broth and loaded into test tubes.Test tubes were positioned in the EMGA to determine the bacterial growth curves and the time required to reach the maximum growth rate(Tmgr).Using Salmonella typhimurium(S.typhimurium)asan model species,there was linear relationship between the logarithmic value of viable bacterial concentration(lgC)and Tmgr over the range of 5×101-5×106 CFU/mL,with a detection limit of 10 CFU/mL.For oyster sauce,the regression equation was Tmgr(min)=-80.775lg[C/(CFU/mL)]+754.96(R2=0.9907),and the recovery rates of S.typhimurium ranged from 95.2%to 119.8%,with relative standard deviations(RSD)ranging from 3.5%to 16.3%.For milk,the regression equation was Tmgr(min)=-71.922 lg[C/(CFU/mL)]+618.65(R2=0.9985),with recovery rates ranging from 98.4%to 110.6%and RSD ranging from 6.4%to 12.8%.The EMGA method required only one portable instrument,and involving only three manual steps,i.e.,dilution,transfer,and insertion.When S.typhimurium contamination reached 106 CFU/mL,the total time consumption,from the unwrapping of samples to the readout of bacterial concentration,was no more than 7 h.When applied to detection of actual oyster sauce and milk samples,the new method demonstrated strong consistency with plate counting results in positive detection rates.This method was superior to the plate counting method,which was generally considered as a gold standard,in terms of accuracy,precision,simplicity and efficiency,representing a promising alternative for the on-site screening and quantification of viable Salmonella in oyster sauce and milk products.

Insulin is an important protein hormone that participates in multiple metabolic pathways.Biosynthetic insulin has been widely used in the treatment of type 1 and type 2 diabetes.Currently,the number of reported cases of insulin overdose both at home and abroad is gradually increasing,and insulin homicide is no longer a means of"committing murder without leaving a trace".At present,there are no systematic protocols for the identification of insulin overdose in the field of forensic medi-cine in China.This article introduces the causes,toxicological characteristics,forensic examination,labo-ratory testing methods and indicator reference of insulin overdose.Based on the identification practice and research results and referring to relevant studies on insulin overdose at home and abroad,this pa-per aims to provide recommendations and references for the formulation of forensic identification guide-lines for insulin overdose cases.

Objective To determine the knee joint cartilage thickness using different methods and explore the feasibility of mathematical statistical models of dataset for the prediction of cartilage thickness.Methods A total of 304 patients diagnosed as knee osteoarthritis(OA)combined with varus deformity and undergoing unilateral total knee arthroplasty at the Second Affiliated Hospital of Army Medical University from March 2023 to March 2024 were selected for the study.All patients had complete preoperative and postoperative clinical data.The healthy cartilage at four anatomical sites of patients,including the distal femur lateral condyle,lateral tibial plateau,posterior medial femoral condyle,and posterior lateral femoral condyle were selected,and the knee joint cartilage thickness was determined based on preoperative MRI analysis,robotic navigation system tracing,tissue section of surgical specimen and digital vernier caliper.The baseline indicators of demographics,disease and imaging ffor patients were collected to construct a dataset,and four models of linear regression analysis,principal component analysis,Least Absolute Shrinkage and Selection Operator(LASSO)regression analysis,and K-nearest neighbors(KNN)analysis were established for predicting the accuracy,determination coefficient(R2)and root mean square error(RMSE),and the regression equation for predicting cartilage thickness was established.Results The knee joint cartilage thicknesses determined by preoperative MRI analysis,robotic navigation system tracing,tissue section of surgical specimen had no statistically significant difference with that by digital vernier caliper(P>0.05).The predictive efficiencies of models of linear regression analysis,principal component analysis,and LASSO regression analysis for the knee joint cartilage thickness all failed to meet the expectations(R2<0.3,RMSE>0.03).The predictive effect of KNN model on the cartilage thickness of the distal femur lateral condyle and lateral tibial plateau was not ideal(R2=0.23,RMSE=0.29),while it had potential predictive value(accuracy=0.21,accuracy=0.15).Conclusion The prediction model of knee joint cartilage thickness based on individual parameters has certain scientificity,and the feasibility of KNN model is relatively high.However,due to insufficient sample size and unclear individual parameter weight,the efficiencies of the four established prediction models are not ideal,which fails to provide definite prediction equations.Therefore,the construction scheme of the prediction model still needs to be further optimized.

With the continuous development of imaging techniques such as magnetic resonance imaging,the detection rate of brain metastases is increasing.Although the incidence rate of cystic brain metastasis is far lower than that of solid brain metastasis,patients with cystic brain metastasis are in urgent condition and have obvious space occupying effect,which is an urgent clinical problem.Previous literature has reported that cystic brain metastasis is more common in breast cancer and lung adenocarcinoma,especially in lung cancer patients with positive driver gene.This article reports a case of small cell lung cancer with cystic brain metastasis,which started with neurological symptoms,and was clinically cured under a multidisciplinary diagnosis and treatment model.Through dynamic imaging evaluation and molecular residual lesion detection,the patient can avoid overtreatment and achieved a relatively higher quality of life on the basis of prolonging survival.

Objective:To analyze the quality level of maternal mid-trimester serum prenatal screening in China from 2019 to 2023.Methods:A questionnaire survey was conducted to collect information from laboratories participating in the National Health Commission′s Clinical Laboratory Center inter-laboratory quality assessment program for prenatal screening from 2019 to 2023. The collected data included screening protocols, detection methods, testing systems, and monthly laboratory screening quality indicators. The Chi-square test was used to compare the initial screening positive rates among different screening protocols, provinces, detection methods, and testing systems. A log-transformed linear regression analysis was performed to evaluate the relationship between the average annual sample size and the out-of-control rate of various median multiple of the median (mMoM) values.Results:This study included 806 laboratories from 29 provinces (including autonomous regions and municipalities). The five-year average out-of-control rates for mMoM values across indicators ranged from 15.8% to 31.3%. The initial positive rates of dual, triple, and quadruple screening protocols were statistically different ( χ2=760.2, P<0.001). The initial positive rates across different provinces ranged from 4.7% to 10.3%, with statistically significant differences ( χ2=35 388.0, P<0.001). There were also statistically significant differences in initial positive rates between different testing systems ( χ2=2 493.2, P<0.001). Testing systems using chemiluminescence methods had significantly higher initial positive rates compared to systems using time-resolved fluorescence methods (7.2% vs. 6.5%, χ2=533.6, P<0.001). Log-linear regression analysis showed that testing systems with larger annual average sample sizes had lower out-of-control rates for mMoM values (AFP: β=-0.100, P=0.005; hCG: β=-0.123, P=0.008; uE3: β=-0.139, P=0.007). Conclusion:There are significant differences in the quality of maternal mid-trimester serum screening across different detection methods, testing systems and provinces in China.

Objective To observe CT and MRI manifestations of gastritis cystica profunda(GCP).Methods Seventeen patients with GCP confirmed by operation or biopsy pathology were enrolled,and lesions'CT and MRI manifestations were observed.Results Among 17 cases,16 cases(16/17,94.12％)were found with single lesion and 1(1/17,5.88％)with diffuse multiple lesions.The lesion located in the fundus of stomach in 5 cases(5/17,29.41％),in the body of stomach in 4 cases(4/17,23.53％),in the cardia and antrum of stomach each in 3 cases(3/17,17.65％)and in the pylorus in 1 case(1/17,5.88％),while 1 case(1/17,5.88％)was found with diffused multiple lesions within stomach.Non-enhance CT showed local thickening of gastric wall in 10 cases(10/17,58.82％),all were isodensities,and the mucosa uniformly enhanced in contrast enhance CT(CECT).Predominately cystic lesion in 5 cases(5/17,29.41％)presented as submucosal cystic protrusions,and grew into the stomach cavity with circular or oblong low density in non-enhanced CT,while sandwich enhancement of mucosa was observed in CECT.Among these 5 cases(5/17,29.41％),MRI showed lesion confined to the submucosa with low signal on T1WI and high signal on T2WI,while diffusion weighted imaging showed unrestricted diffusion,and the enhancement pattern was consistent with that of CT in 2 cases.In other 2 cases(2/17,11.77％)with cystic-solid lesion,non-enhanced CT showed soft tissue density,while CECT showed lump-like stratified enhancement.Conclusion CT and MRI manifestations of GCP had certain characteristics.

Objective:To retrospectively analyze the cases of inflammatory myofibroblastic tumor (IMT) involving the sinonasal skull base, and to investigate their clinical characteristics, diagnostic approaches, and treatment outcomes, in order to improve understanding of this rare entity.Methods:Clinical data from five patients with pathologically confirmed sinonasal skull base IMT who underwent surgical treatment at Xiangya Hospital of Central South University between April 2010 and June 2023 were reviewed. Information on clinical presentation, laboratory findings, imaging features, histopathological and immunohistochemical results, treatment strategies, and follow-up outcomes was collected. A comprehensive analysis was performed in combination with a literature review to summarize the clinical features, diagnostic methods, and therapeutic approaches for sinonasal skull base IMT.Results:The five patients (aged 18 to 68 years) were all diagnosed based on histopathological and immunohistochemical examinations. The lesions primarily involved the nasopharynx, clivus, sphenoid sinus, and maxillary sinus. Major clinical symptoms included nasal obstruction, headache, blood-tinged nasal discharge, and facial numbness or pain. All patients underwent surgical resection; two of them also received adjunctive glucocorticoid therapy. During follow-up ranging from 1 to 143 months, two patients experienced tumor recurrence, three patients had no recurrence with significant symptomatic improvement.Conclusions:Histopathology combined with immunohistochemistry is critical for the diagnosis of sinonasal skull base IMT. Complete surgical excision when feasible remains the primary treatment strategy.