Objective To introduce the causes of accidents and the diagnosis and treatment of two patients with radiation-induced skin injury admitted to our hospital in 2023, and to provide a reference for the clinical treatment of subsequent radiation-induced skin injury. Methods The clinical treatment process of two patients with acute skin injury caused by external radiation exposure were summarized and analyzed. Results The exposure history of the two patients was reconstructed, the flaw detection scenario was simulated, the biological dose and hand skin exposure dose were estimated, and the infrared thermal imaging device was used for dynamic monitoring. A comprehensive analysis was conducted based on clinical manifestations and other data. The diagnosis of “Xie” was excessive exposure combined with acute radiation-induced skin injury on both hands (Grade IV for the right hand palm, index finger, and middle finger and Grade II for the left hand little finger). The diagnosis of “Hao” was acute radiation-induced skin injury on both hands (Grade I). The two patients received different clinical treatment measures: “Xie” was treated with both local and systemic therapies, while “Hao” was mainly treated with systemic therapy. Conclusion After systematic and effective treatment, the radiation-induced skin injuries healed in both patients.

ObjectiveTo explore the value of a multimodal MRI-based radiomics nomogram for differentiating human epidermal growth factor receptor-2 （HER-2） negative breast cancer molecular subtypes.MethodsA retrospective analysis was conducted on 190 patients with HER-2 negative breast cancer who underwent multimodal MRI examination， and the patients were divided into two molecular subtype groups： a HER-2 low expression group （n=108） and a HER-2 zero expression group （n=82）. The cases were randomly stratified and sampled at a ratio of 7∶3 and divided into a training set of 133 cases and a testing set of 57 cases. The clinical and radiological features of the patients were collected， the radiomics features based on T2-weighted imaging （T2WI）， diffusion-weighted imaging （DWI）， and dynamic contrast-enhanced （DCE）-MRI were extracted， and the clinical-radiological model， unimodal radiomics model， multimodal radiomics model， and combined model were constructed respectively. Then the nomogram combined multimodal radiomics signature （radsocre） with clinical-radiological features was used to construct a visualized predictive model， and the area under the curve （AUC） was used to compare the effectiveness of different models in distinguishing HER-2 low expression and zero expression subtypes.ResultsA significant difference in radscore was demonstrated between the HER-2 low and HER-2 zero expression groups in both the training （P<0.000 1） and testing sets （P<0.01）. The AUC of the multimodal radiomics model in the training set and the testing set were 0.914 and 0.836， respectively， which was superior to any unimodal radiomics model. The nomogram demonstrated great diagnostic efficacy （AUC=0.930 in training set； AUC=0.865 in testing set）.ConclusionA multimodal MRI-based nomogram incorporating radsocre and clinical-radiological features can accurately distinguish the subtypes of HER-2 negative breast cancer.

ObjectiveTo evaluate the feasibility of various strength levels of deep learning image reconstruction （DLIR） algorithms for improving non-contrast abdominal CT image quality at ultra-low radiation doses， by comparing ultra-low-dose DLIR images with low-dose filtered back projection （FBP） images. MethodsA prospective collection of 85 patients undergoing non-contrast abdominal CT scans was performed， and a self-controlled study method was employed to conduct low-dose （LD） group and ultra-low-dose （ULD） group scans. The LD group used a noise index of 10 and employed FBP for image reconstruction （LD-FBP group）. The ULD group used a noise index of 30 and employed DLIR at different levels （low， medium， high）， resulting in three subgroups of reconstructed images： ULD-DLIR-L， ULD-DLIR-M， and ULD-DLIR-H. For each group， CT values， standard devia-tion （SD）， signal-to-noise ratio （SNR）， and contrast-to-noise ratio （CNR） were measured and calculated for the liver， spleen， kidneys， aorta， psoas major， and subcutaneous fat. Effective dose （ED） was also recorded. Two radiologists independently performed subjective evaluations of image quality using a 5-point scale. ResultsCompared with the LD-FBP group， the ULD-DLIR-L group showed significantly lower SNR and CNR values in the liver， spleen， kidneys， aorta， and psoas major （P<0.001）， while the ULD-DLIR-H group exhibited significantly higher values （P<0.001）. The difference of SNR and CNR values for the ULD-DLIR-M group showed no statistically significant difference. For subjective evaluation， the scores of the ULD-DLIR-L and ULD-DLIR-M groups were lower than those of the LD-FBP group， while there was no statistically significant difference in scores between the ULD-DLIR-H group and the LD-FBP group. The ED value of the ULD group was approximately 88% lower than that of the LD group. ConclusionCompared with the LD-FBP group， the ULD-DLIR-H group significantly reduces SD values while increasing SNR and CNR values， effectively improving the image quality of non-contrast abdominal CT scans.

Objective To investigate the impact of donor kidney histopathological lesions on the risk of BK virus (BKV) infection and progression after kidney transplantation. Methods A retrospective analysis was conducted on the clinical data of 326 kidney transplant recipients from deceased donors at the Department of Kidney Transplantation, the First Affiliated Hospital of Zhengzhou University, from January 2019 to June 2020. The recipients were divided into two groups based on whether BKV infection occurred after kidney transplantation: the BKV infection group (145 cases) and the non-BKV infection group (181 cases). The correlation between donor kidney histopathological findings from zero-hour biopsy and BKV infection, as well as the impact on the risk and progression of BKV infection, was analyzed. Results The incidence of BKV infection among the 326 kidney transplant recipients was 44.5% (145/326). The clearance rate of BKV after infection was 82.1% (119/145), while 17.9% (26/145) progressed to BKV viremia. Among the 326 qualified kidney biopsy specimens, 32 cases showed mild tubular atrophy, 324 cases had mild acute tubular injury, 27 cases exhibited mild hyaline arteriosclerosis, 10 cases had moderate to severe hyaline arteriosclerosis, 7 cases showed mild interstitial inflammation, 23 cases had mild interstitial fibrosis, 6 cases exhibited mild arterial intimal fibrosis, and 1 case had moderate to severe arterial intimal fibrosis. Multivariate logistic regression analysis revealed that male recipients, donor age and tubular atrophy were independent risk factors for BKV infection (all P<0.05). Tubular atrophy was also an independent risk factor for the progression from BKV uria to BKV viremia (P<0.05). Conclusions Donor kidney histopathological lesions have a certain impact on BKV infection and progression after kidney transplantation. Patients with more severe tubular atrophy in donor kidneys have a higher risk of BKV infection after kidney transplantation and are more likely to progress to BKV viremia.

Objective: To explore the value of nomogram based on DCE-MRI radiomics combined with clinical-ra- diological features in predicting HR status in breast cancer with Her-2 low expression． Methods: A total of 198 pa- tients of Her-2 low expression breast cancer who underwent standardized breast MRI in our hospital from January 2019 to February 2025 were retrospectively analyzed．Patients were divided into HR ( + ) group ( n = 137) and HR ( －) group ( n = 61) ．The cases were divided into a training set ( 138 cases) and a testing set ( 60 cases) in a 7 ∶ 3 ratio．Clinical-radiological model was based on clinical and traditional radiological features，radiomics model was based on DCE-MRI，and combined model was constructed，respectively．The nomogram was drawn，and re- ceiver operating characteristic curve was used to compare the performance of different models in predicting HR sta- tus． Results: The DCE-MRI radiomics score ( Radscore) between the HR ( + ) group and the HR ( －) group showed statistical differences in both the training and testing sets ( both P＜0. 001) ．The AUC of the clinical-radio- logical model based on lesion mobility，Ki67，TIC type，enhancement pattern and maximum diameter for predicting HR status in the training set and testing set were 0. 643 and 0. 616，respectively．The AUC of the DEC-MRI ra- diomics model in the training set and testing set were 0. 897 and 0. 860，respectively．The nomogram drawn by combining clinical-radiological features and Radscore showed better predictive performance in both the training set ( AUC = 0. 913) and testing set ( AUC = 0. 898) than the clinical-radiological model ( all P＜0. 05) ． Conclusion The nomogram combined by DCE-MRI radiomics and clinical-radiological features can effectively predict HR sta-tus of breast cancer with low Her-2 expression，which is helpful to the building of individualized treatment plan for breast cancer patients．

Objective To explore medical institution-led exercise training interventions,prelimina-ry preventive measures,and comprehensive health service strategies for elderly adults.Methods Sixty elderly adults from communities under the jurisdiction of primary hospitals who voluntarily participated in the training and met the inclusion criteria were divided into 75 to 79 years old group and 80 to 84 years old group.Elastic bands exercise were selected as the method for physical training for elderly community members.A total of three sets(9 items)of exercise,including upper and lower limb mus-cle strength exercises and balance as well as coordination training,were designed.The training period lasted for 12 weeks,with each session lasting 1 hour,three times a week.The medical team partici-pated in training supervision and follow-up evaluations throughout the process,dynamically adjusting the training intensity based on individual needs.Results Comprehensive safety and support meas-ures significantly improved training participation and completion rates.No sports injuries or adverse events occurred throughout the process,and all participants completed the training plan.After train-ing,statistically significant differences were observed in grip strength,five-times sit-to-stand test duration,Berg Balance Scale(BBS)scores,and Timed Up and Go(TUG)test results(P＜0.05),indicating effective physical fitness improvement.Conclusion Elastic band exercises are a suitable mode for physical improvement training among elderly adults,significantly enhancing muscle strength in the limbs and trunk and improving balance function.The positive communication and in-teraction in group activities significantly boost elderly adults'confidence in healthy living,leading to notable improvements in their mental state.

OBJECTIVE: To investigate whether adding 1 transverse screw (TS) to the triangular parallel cannulated screw (TPCS) fixation has a mechanical stability advantage for Pauwels type Ⅲ femoral neck fractures by conducting finite element analysis on four internal fixation methods. METHODS: Based on CT data of a healthy adult male volunteer's femur, three Pauwels type Ⅲ femoral neck fracture models (Pauwels angle 70°, Pauwels angle 80°, and Pauwels angle 70° combined with bone defect) were constructed using Mimics 21.0 software and SolidWorks 2017 software. Four different internal fixation models were built at the same time, including TPCS, TPCS+TS, three cross screws (TCS), and TPCS+medial buttress plate (MBP). The mechanical stability of different models under the same load was compared by finite element analysis. RESULTS: The femoral model established in this study exhibited a maximum stress of 28.62 MPa, with relatively higher stress concentrated in the femoral neck. These findings were comparable to previous studies, indicating that the constructed femoral finite element model was correct. The maximum stress of internal fixation in finite element analysis showed that TCS was the lowest and TPCS+MBP was the highest in Pauwels angle 70° and 80° models, while TPCS+TS was the lowest and TCS was the highest in Pauwels angle 70° combined with bone defect model. The maximum displacement of internal fixation in each fracture model was located at the top of the femoral head, with TCS having the highest maximum displacement of the femur. The maximum stress of fracture surface in finite element analysis showed that TCS was the lowest and TPCS was the highest in the Pauwels angle 70° model, while TPCS+MBP was the lowest and TPCS/TCS were the highest in the Pauwels angle 80° model and the Pauwels angle 70° combined with bone defect model, respectively. The maximum displacement of fracture surfece analysis showed that TPCS+MBP was the lowest and TCS was the highest in Pauwels angle 70° and 80° models, while TPCS+TS was the lowest and TCS was the highest in Pauwels angle 70° combined with bone defect model. CONCLUSION For Pauwels type Ⅲ femoral neck fractures, the biomechanical stability of TPCS+TS was superior to that of TPCS alone and TCS, but it has not yet reached the level of TPCS+MBP.
Finite Element Analysis ; Humans ; Femoral Neck Fractures/diagnostic imaging* ; Bone Screws ; Fracture Fixation, Internal/instrumentation* ; Male ; Bone Plates ; Stress, Mechanical ; Biomechanical Phenomena ; Tomography, X-Ray Computed ; Adult ; Femur Neck/surgery*

Immunotherapy has become a pivotal modality in clinical cancer treatment. However, its effectiveness is limited to a small subset of patients due to the low antigenicity, impaired innate response, and various adaptive immune resistance mechanisms of the tumor microenvironment (TME). Accumulating evidence reveals the critical roles of metal elements in shaping immunity against tumor progression and metastasis. The marriage of metalloimmunotherapy and nanotechnology further presents new opportunities to optimize the physicochemical and pharmacokinetic properties of metal ions in a precise spatiotemporal control manner. Several metallodrugs have demonstrated encouraging immunotherapeutic potential in preliminary studies and are currently undergoing clinical trials at different stages, yet challenges persist in scaling up production and addressing long-term biosafety concerns. This review delineates how metal materials modulate biological activities across diverse cell types to orchestrate antitumor immunity. Moreover, it summarizes recent progress in smart drug delivery-release systems integrating metal elements, either as cargo or vehicles, to enhance antitumor immune responses. Finally, the review introduces current clinical applications of nanomedicines in metalloimmunotherapy and discusses potential challenges that impede its widespread translation into clinical practice.

Objective To elucidate the molecular mechanisms underlying the effects of Kanggan Mixture(KGM)on key targets in rats with acute lung injury,network pharmacology and in vivo micro-CT experiments were employed.Methods Network pharmacology was utilized to forecast the target genes and principal pathways involved in the intervention of KGM in acute lung injury(ALI).Lipopolysaccharide(LPS)-induced ALI rat models were utilized,and micro-computed tomography(micro-CT)was employed to evaluate the extent of lung injury in vivo.Experiments were conducted to verify the intervention mechanism of KGM on ALI rats.Results The findings revealed that 190 chemical constituents were identified from KGM,and 579 potential targets and 204 pathways associated with KGM's impact on ALI were predicted.The principal components of KGM,such as quercetin,luteolin,kaempferol,betulin,and lupenone,exhibit anti-viral,anti-inflammatory,and immunomodulatory properties by targeting TP53,AKT1,SRC,EP300,and STAT3,and modulating the FoxO signaling pathway,TNF signaling pathway,PI3K-Akt signaling pathway,and MAPK signaling pathway,demonstrating an influence on acute lung injury.Micro-CT results suggest that KGM can improve lung texture enhancement and lung injury in ALI rats,with an increase in end-expiratory lung volume(inspiratory phase-expiratory phase).The HE and W/D ratio results indicate that KGM can improve lung tissue injury and reduce the lung tissue wet/dry weight ratio(P<0.01).Blood cell analysis results show that the anti-inflammatory agent can decrease the WBC(white blood cell count)and N%(neutrophil percentage)in ALI rats'blood(P<0.01),and increase lymphocytes(P<0.05).Real-time quantitative PCR,WES,and immunohistochemistry results suggest that KGM can decrease the mRNA expression,protein distribution,and protein expression levels of TP53,AKT1,SRC,EP300,and STAT3 in lung tissue of ALI rats(P<0.05).Conclusion KGM has a certain intervention effect on acute lung injury,mainly achieved through the core targets STAT3,EP300,SRC,AKT1,and TP53.

Purpose To explore the application value of cardiac magnetic resonance(CMR)mapping and strain techniques in assessing ventricular function changes in patients with severe alcohol use disorder(AUD).Materials and Methods A retrospective analysis was conducted on 32 male patients with severe AUD as the study group in Hefei Fourth People's Hospital from January 2023 to April 2024,compared with 30 age-and gender-matched healthy subjects as the control group.Clinical data and CMR results were collected for all participants.CMR parameters included conventional functional parameters such as left and right ventricular ejection fraction,volume index and mass index;tissue characterization parameters such as Native T1,T2 mapping and extracellular volume fraction(ECV);and strain parameters including global longitudinal strain(GLS),global circumferential strain(GCS)and global radial strain(GRS)for both ventricles.The differences in the above indexes between the two groups were compared.Results The left ventricular end-diastolic volume index in the AUD group was significantly higher than in the control group(t=3.799,P<0.001).The left ventricular strain values(GLS,GCS,GRS)in the AUD group were significantly lower than those in the control group(t=4.459,4.435,-4.759,all P<0.001).The Native T1,T2 and ECV in the AUD group were significantly higher than those in the control group(t=6.301,5.650,7.069,all P<0.001).For the right ventricle,only right ventricular GLS and right ventricular GCS were significantly lower than in the control group(t=8.703,-2.814,both P<0.01).Conclusion CMR feature tracking technology can early identify ventricular function abnormalities in AUD patients.The increase in Native T1,T2 mapping and ECV suggests the presence of myocardial edema and fibrosis in AUD patients,which is closely related to left ventricular dysfunction.Multi-parameter CMR evaluation provides important diagnostic evidence for the early detection of cardiac involvement in severe AUD patients.