Objective To conduct a comprehensive survey of the resource allocation and radiological diagnosis frequency in radiological diagnosis and treatment institutions in Shaanxi Province, and provide scientific evidence for optimizing regional medical resource allocation and formulating radiation protection strategies. Methods In 2022, a cross-sectional survey was conducted on 1564 radiological diagnosis and treatment institutions in Shaanxi Province (excluding dental clinics and military/armed police force hospitals). Data on equipment configuration, personnel distribution, and number of diagnostic examinations were collected. Results There were a total of 8798 radiation workers engaged in radiological diagnosis and 3617 X-ray diagnostic units in Shaanxi Province. Moreover, 35.8% (3151) of the radiation workers and 21.9% (792) of the radiological diagnostic units were in tertiary hospitals. There were 91.5 X-ray diagnostic units per million population, including 53.2 X-ray radiography units and 17.1 computed tomography (CT) units per million population. In 2022, the total number of X-ray diagnostic examinations was 21 303 635, primarily including 10 812 197 (50.8%) X-ray radiography examinations and 8 969 358 (42.1%) CT examinations. Analysis of equipment utilization intensity showed that the average annual number of examinations per unit of radiological diagnostic equipment in tertiary hospitals reached 10 506.1, with CT equipment bearing the most prominent workload (13 248.7 examinations/unit). The overall radiological diagnosis frequency was 538.8 examinations/thousand population (273.4 X-ray radiography and 226.8 CT examinations/thousand population). Tertiary, secondary, and primary and below institutions accounted for 39.1%, 44.0%, and 16.9% of the total number of examinations, respectively. Conclusion The radiological diagnosis frequency in Shaanxi Province (538.8 examinations/thousand population) was below the United Nations Scientific Committee on the Effects of Atomic Radiation (UNSCEAR) Healthcare Level I (823 examinations/thousand population). Issues such as uneven resource distribution and CT equipment overload should be addressed by digital upgrading, hierarchical diagnosis and treatment systems, and enhanced equipment maintenance.

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.

Objective To establish baseline radiation dose data for computed tomography (CT) examinations in Shaanxi Province, China and to provide scientific evidence for optimizing medical radiation protection. Methods From 2020 to 2023, a multicenter cross-sectional study was conducted using 16 CT scanners across 9 hospitals (2 specialized pediatric hospitals and 7 general hospitals). Standardized registration forms were used to collect basic information (e.g., age and examination site), scanning parameters (e.g., tube voltage, tube current-time product, and scan length), and dosimetric parameters (volume CT dose index [CTDI_vol] and dose-length product [DLP]). Non-parametric tests were employed for intergroup comparisons. Results A significant positive correlation was observed between age and major CT scanning parameters. Both CTDI_vol and DLP increased significantly with age across all examination sites (P < 0.001). Abdominal CTDI_vol was significantly lower in specialized pediatric hospitals than in general hospitals (8.0 vs. 15.5 mGy, P < 0.001). The < 1-year age group showed higher abdominal CTDI_vol (13.2 vs. 8.6 mGy) but lower DLP (243.5 vs. 261.9 mGy·cm) compared to the 1- < 5-year group. Conclusion This study established the first baseline radiation dose database for CT examinations in Shaanxi Province, providing critical scientific support for developing regional diagnostic reference levels and optimizing radiological protection practices.

GBA1 gene mutation is an important genetic risk factor for Parkinson’s disease (PD). This paper reports a case of a 43-year-old male PD patient carrying a rare heterozygous Thr408Met mutation in the GBA1 gene identified through whole-exome sequencing, leading to a diagnosis of GBA1-associated PD. The patient’s motor symptoms were primarily characterized by bradykinesia and rigidity, without significant cognitive decline. Treatment with low-dose levodopa combined with a dopamine agonist resulted in significant symptomatic improvement.

Objective:To investigate the feasibility and effectiveness of robot-assisted surgery in children with cholangiectasis under 3 months of age.Methods:This is a retrospective cohort study. The clinical data of 53 children with cholangiectasis under 3 months admitted to Department of General Surgery of Children′s Hospital Affiliated to Zhejiang University School of Medicine from April 2019 to December 2024 were included retrospectively. According to the surgical method, the patients were divided into robot-assisted surgery(RAS) group(5 males, 24 females, age ( M(IQR)) 49.0(36.0)days (range: 19.0 to 90.0 days), weight 5.00(1.65)kg (range: 3.40 to 7.50 kg)) and laparoscopic-assisted surgery(LAS) group (5 males, 19 females, age 55.5(27.3)days (range: 18.0 to 87.0 days), weight 4.90 (1.62)kg (range: 3.50 to 6.20 kg)). Nineteen cases in each group were prenatally diagnosed. Data were statistically analyzed using the Mann-Whitney U test and the Pearson χ 2 test, respectively. Results:No statistically significant differences were observed between the two groups in age, sex, weight, or preoperative biochemical indices(all P>0.05). All procedures were successfully completed without conversion to open surgery. Postoperative biochemical indices, fasting duration, cyst diameter, operative time, drainage tube retention time, and follow-up duration showed no significant differences between the groups(all P>0.05). Compared to the LAS group, the RAS group demonstrated significantly shorter postoperative hospital stays (9.0(5.0)days (range:7.0 to 18.0 days) vs. 11.5(5.5)days (range:7.0 to 38.0 days), U=236.5, P=0.044) and hepaticojejunostomy time (15.0(3.5)minutes (range:11.0 to 22.0 minutes) vs. 18.0(3.0)minutes (range:13.0 to 25.0 minutes), U=144.5, P=0.001). However, the RAS group incurred higher surgical costs (78 099.9(10 100.1)yuan (range: 72 148.7 to 112 898.6 yuan) vs. 30 158.6(15 283.1)yuan (range: 25 041.7 to 107 673.1 yuan), U=41.0, P<0.01). In the LAS group, 3 patients developed anastomotic leakage requiring reoperation, while the RAS group had 1 case of anastomotic stenosis 2 years postoperatively (received second hepaticojejunostomy) and 1 case of incision infection(received incision debridement and dressing of the abscess). Conclusion:Robot-assisted surgery can be used to treat children with cholangiectasis under 3 months of age and may achieve good results.

Objective:To explore the application value of real-time virtual sonography (RVS) combined with intraductal biliary contrast-enhanced ultrasound (IB-CEUS) in percutaneous transhepatic cholangial drainage (PTCD).Methods:This retrospective cohort study included data from 71 patients who underwent PTCD at the Department of Hepatobiliary and Pancreatic Surgery in the Second Affiliated Hospital of Nanchang University between May 2021 and August 2022. There were 36 male and 35 female patients,aged 35 to 94 years. Based on the guidance modality used,patients were divided into two groups: the RVS combined with IB-CEUS group ( n=36) and the digital subtraction angiography (DSA) group ( n=35). PTCD was performed under the guidance of RVS combined with IB-CEUS in the RVS+IB-CEUS group,and under conventional DSA fluoroscopic guidance in the DSA group. Two clinicians classified the biliary conditions as either simple or complex based on preoperative ultrasound and CT (or MRI) imaging. Statistical analyses were conducted using independent sample t-tests,rank-sum tests, χ2 tests,or Fisher′s exact tests,as appropriate. Results:Significant differences were observed between the RVS+IB-CEUS group and the DSA group in terms of the number of punctures (1.0±0.2 vs. 2.2±1.4, t=-5.148, P<0.01) and postoperative complication rate(2.8% (1/35) vs. 17.1% (6/36), P=0.049). There were 9 patients with complex biliary conditions in the DSA group and 12 in the RVS+IB-CEUS group. The number of punctures in both the simple and complex subgroups of the RVS+IB-CEUS group(1.0±0.2 and 1.0±0.0) remained lower than that in the corresponding DSA subgroups(2.2±1.6 and 2.4±0.4) ( t=-3.606, P<0.01; t=-3.959, P=0.002). Moreover,the complication rate in the simple biliary subgroup of the RVS+IB-CEUS group was significantly lower than that of the DSA group(0 (0/24) vs. 19.2% (5/26), P=0.031),whereas no significant difference was found in the complex biliary subgroup (1/12 vs. 1/9, P=0.686). Conclusion:Guided by RVS and IB-CEUS, PTCD can help reduce the number of punctures during surgery and postoperative complications, and patients with complex bile duct conditions can still benefit from PTCD.

Objective To enhance the efficiency and accuracy of post-marketing safety monitoring and evaluation of drugs in China by studying large language models-based patient medical record pharmacovigilance profiling techniques,providing scientific methods and technical support to ensure the safe use of drugs for patients.Methods This study constructs a pharmacovigilance profile that includes individual patient differences,medication details,and adverse reaction manifestations.It enhances a large language model with a knowledge graph in the field of pharmacovigilance and designs targeted prompts to guide the model to output pharmacovigilance profiles.Results Large language models demonstrate significant advantages in active monitoring,effectively processing and analyzing medical text data,and improving the monitoring and prediction capabilities of drug adverse reactions.Through the design of prompts,the model can more accurately depict patient pharmacovigilance profiles,providing decision support for medical professionals.Conclusions The study of large language model-based patient medical record pharmacovigilance profiling technology provides scientific evidence and technical support for the early detection and prevention of drug adverse reactions,helping to reduce medical costs,improve medical outcome prognoses,and opens new paths to ensure patient drug safety.

Objective To enhance the efficiency and accuracy of post-marketing safety monitoring and evaluation of drugs in China by studying large language models-based patient medical record pharmacovigilance profiling techniques,providing scientific methods and technical support to ensure the safe use of drugs for patients.Methods This study constructs a pharmacovigilance profile that includes individual patient differences,medication details,and adverse reaction manifestations.It enhances a large language model with a knowledge graph in the field of pharmacovigilance and designs targeted prompts to guide the model to output pharmacovigilance profiles.Results Large language models demonstrate significant advantages in active monitoring,effectively processing and analyzing medical text data,and improving the monitoring and prediction capabilities of drug adverse reactions.Through the design of prompts,the model can more accurately depict patient pharmacovigilance profiles,providing decision support for medical professionals.Conclusions The study of large language model-based patient medical record pharmacovigilance profiling technology provides scientific evidence and technical support for the early detection and prevention of drug adverse reactions,helping to reduce medical costs,improve medical outcome prognoses,and opens new paths to ensure patient drug safety.

Renal leiomyosarcoma is an extraordinarily rare malignant neoplasm，accounting for less than 1% of all renal malignancies. The prevention and management of postoperative thrombotic and hemorrhagic complications are pivotal in improving patient outcomes. We presented a case of a 62-year-old female with a giant right renal leiomyosarcoma（FNCLCC grade 3）who underwent preoperative arterial embolization followed by radical nephrectomy. On postoperative day 4，the patient developed deep vein thrombosis of the lower extremities. During subsequent anticoagulation therapy，she experienced a life-threatening complication of subcapsular hepatic hematoma. Discontinuing anticoagulation，bed rest，active blood transfusion，and antibiotic prophylaxis for infection being used as conservative treatment，the patient demonstrated significant clinical improvement and discharged after full recovery.