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 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.

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.

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.

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.

Objective:To explore the feasibility of applying deep learning image reconstruction (DLIR) in low-radiation dose liver dual-energy CT to further improve image quality, diagnostic confidence of lesion, and accuracy of iodine concentration (IC) measurement.Methods:This prospective cohort study enrolled 60 patients scheduled for enhanced liver CT at the First Affiliated Hospital of Anhui Medical University from June 2023 to January 2024. The participants were randomly assigned into the standard dose group and low radiation dose group with 30 cases in each using randomized block method. The standard radiation dose group underwent standard-radiation dose 120 kVp scans during the venous phase, while the low radiation dose group underwent low radiation dose scans with a rapid kVp-switching spectral scanning mode at 80 kVp and 140 kVp. The effective radiation dose (ED) was calculated for both groups. The standard radiation dose group was reconstructed using adaptive statistical iterative reconstruction-V (ASIR-V) algorithm 40% (AR40 120 kVp). The low radiation dose group using high-intensity DLIR (DLIR-H) to reconstructed 40 keV and 50 keV virtual monoenergetic images (VMI) (DH-VMI 40 keV, DH-VMI 50 keV). The image quality of the above three groups was objectively evaluated through the measurement of image noise and calculation of contrast-to-noise ratio (CNR) and signal-to-noise ratio (SNR) for the liver and portal vein; and the image quality was subjectively scored for image noise, contrast, lesion conspicuity, and diagnostic confidence. In the low radiation dose group, DLIR-H and ASIR-V40% reconstructed iodine maps were used to measure the liver and portal vein of IC values, standard deviations (SD), and coefficients of variation (CV). One-way analysis of variance or Kruskal-Wallis H test was used to compare the differences of subjective and objective image quality among the three groups, and paired t-test was used to compare the differences in measurement indexes between DLIR-H and ASIR-V40% reconstructed iodine maps. Results:The ED in the low radiation dose group [(2.2±0.5) mSv] was reduced by 56.8% compared to the conventional radiation dose group [(5.4±1.4) mSv]. Objective evaluations demonstrated that DH-VMI 40 keV had higher image noise, CNR, and SNR for liver and portal veins compared to AR40 120 kVp ( P<0.001). DH-VMI 50 keV had lower image noise ( P=0.200), with higher CNR and SNR for the liver and portal vein compared to AR40 120 kVp( P<0.001). In subjective evaluation, there was no statistically significant difference in image noise scores between DH-VMI 40 keV and AR40 120 kVp ( P>0.05), while the image noise score for DH-VMI 50 keV was lower than that of AR40 120 kVp ( P<0.05). Both DH-VMI 40 keV and DH-VMI 50 keV had higher scores for contrast, lesion conspicuity, and diagnostic confidence compared to those of AR40 120 kVp ( P<0.05). In the low radiation dose group, there was no statistically significant difference in IC values for the liver and portal vein between the ASIR-V40% and DLIR-H algorithm reconstructed iodine maps ( P>0.05). The SD and CV of liver and portal vein in the DLIR-H reconstructed iodine maps were lower than those in the ASIR-V40% reconstructed iodine maps ( P<0.001). Conclusions:DLIR can effectively reduce the image noise of low-energy (40, 50 keV) VMI, enhance lesion conspicuity and diagnostic confidence, and improve measurement accuracy without affecting IC values.

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．