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 an outbreak of acute gastroenteritis at a vocational and technical school in Shaanxi Province in 2024, ao as to provide the reference for the handling of school outbreaks. Methods: The conducted case searches, individual case investigations, and on-site hygienic investigations were established in accordance with the Guidelines on outbreak investigation, prevention and control of Norovirus infection (2015). The potential risk factors were analyzed by case-control study. Anal swab samples from cases and all canteen staff, as well as environmental swab samples were collected to detect common intestinal pathogens. All reserved food samples in canteen were collected to test for common pathogenic bacteria. Results: From October 26 to November 5, 2024, a cumulative total of 53 cases were reported, with an attack rate of 1.47%. The main clinical symptoms included vomiting (83.02%), abdominal pain (56.60%), diarrhea (30.19%), and fever (26.42%). The epidemic curve suggested an intermittent common-source outbreak, with no obvious clustering characteristics in terms of the population and spatial distribution of cases. The case-control analysis revealed that having dinner at the rice-with-dishes-on-top stall on the first floor of the canteen on October 28 was a risk factor for illness (OR=11.025, 95%CI: 2.186-55.601). GⅡ norovirus was detected as positive in anal swab samples from 6 cases and 2 asymptomatic infected canteen staff, as well as in 3 environmental swab samples from the rice-with-dishes-on-top stall. The test results for common pathogenic bacteria in the reserved food samples were all negative. Conclusions This outbreak was caused by an acute gastroenteritis epidemic induced by GⅡ norovirus infection, with a transmission pattern consistent with an intermittent homologous outbreak. The possible source of infection was asymptomatic infected canteen staff mainly through foodborne trasmission, and having meals at the rice-with-dishes-on-top stall was the primary risk factor for this outbreak.

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.

Haglund syndrome (HS) is a common cause for posterior heel pain in ankle surgery, but the etiology of heel pain is so complicated that its pathogenic factors are currently unclear. For such diseases as posterior heel pain, conservative treatment should be carried out first. However, as their cause is not eliminated their symptoms are likely to recur. With the rapid development of biotechnology, imaging technology, and arthroscopy technology, biological therapy and minimally invasive surgery have gradually become the main treatments for HS. This review expounds on the factors, mechanisms, imaging diagnostic methods, options of conservative and surgical treatments concerning HS, hoping to help the clinical treatment of HS.

Objective:To explore the mediating effect of sleep quality on the relationship between serum vitamin D3 level and depressive symptoms in community-dwelling elderly people with mild cognitive impairment(MCI).Methods:A total of 480 elderly people with MCI meeting inclusion criteria in a community health service center from Jan 2023 to Dec 2023 were selected as the research objects.The general information questionnaire,mini-mental state examination(MMSE),activity of daily living scale(ADL),Center for Epidemiological Studies Depression Scale(CES-D)and Pittsburgh sleep quality index(PSQI)were used to investigate the subjects.Serum vitamin D3 level was detected within 1 week.Spearson correlation analysis was used to explore the correlation between sleep quality,serum vitamin D3 level and depressive symptoms.The mediating effect model was tested by Model 4 in the Process plug-in.Results:Among the 480 MCI elderly,the average score of depression was(12.28±4.75),the average serum vitamin D3 level was(25.81±7.09)ng/ml,and the average score of sleep quality was(7.17±2.71).Depression severity was positively correlated with sleep quality score(r=0.294,P＜0.01),and negatively correlated with serum vitamin D3 level(r=-0.237,P＜0.01).Serum vitamin D3 level was negatively correlated with sleep quality score(r=-0.225,P＜0.01).Bootstrap analysis showed that the mediating effect of sleep quality between serum vitamin D3 level and depression level was-0.064(95%CI:-0.115--0.023),accounting for 26.57%of the total effect.Conclusion:Sleep quality partially mediates the relationship between serum vitamin D3 level and depressive symptoms in the elderly with MCI in the community.

The heart-brain axis is the core of human homeostasis regulation,and its functional abnormalities are the key link connecting cardiovascular and nervous system disorders.Ischemic heart disease(IHD)not only impairs the structure and function of myocardium,but also causes cognitive dysfunction through the disorder of heart-brain interaction pathways.Its essence lies in the multi-dimensional damage to the structure and function of brain caused by the pathological state of the heart.Multimodal neuroimaging techniques have important value for studying mechanisms of heart-brain interaction.MRI and PET can accurately assess pathological changes such as brain structural and functional damage,metabolic abnormalities and neuroinflammation.The neuroimaging for early identification,formulating heart-brain co-treatment strategies and improving the management level of IHD related cognitive dysfunction were reviewed in this article.

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．

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.