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.

Wilson's disease(WD)is an autosomal recessive inherited copper metabolism disorder that can cause myocardial damage,but the sensitivity of electrocardiography and echocardiography in detecting WD myocardial injury is limited.In recent years,cardiac magnetic resonance has been widely used for non-invasive identification of myocardial damage.Cardiac magnetic resonance,through cine imaging,can detect ventricular remodeling and decreased cardiac function in WD patients,as well as identify myocardial fissures;strain imaging can detect subclinical myocardial contractile dysfunction in WD patients;delayed enhancement can assess myocardial fibrosis in WD patients;Mapping techniques can quantitatively detect myocardial edema,inflammation and fibrosis in WD patients,providing a comprehensive non-invasive assessment of WD myocardial damage and offering important information for understanding the mechanism of myocardial injury in WD.This article reviews the research progress of cardiac magnetic resonance in WD myocardial damage.

Background and purpose:Members of the serine protease inhibitor(SERPIN)family can influence tumorigenesis,progression,and prognosis by modulating processes such as apoptosis,invasion,metastasis,and angiogenesis in tumor cells.However,their role in pancreatic cancer remains unclear.This study aimed to investigate the impact of high expression of serine protease inhibitor A3(SERPINA3)on the proliferation,apoptosis,migration,and chemoresistance of pancreatic cancer cells and its mechanism.Methods:This study analyzed the SERPINA3 expression levels in the normal pancreatic ductal epithelial cell line hTERT-HPNE and pancreatic cancer cell lines SW1990,Capan-1,PANC-1,and ASPC-1 by real-time reverse transcription quantitative polymerase chain reaction(qRT-PCR).We established gemcitabine-resistant pancreatic cancer cell lines PANC-1/R and ASPC-1/R,and used qRT-PCR assay and cell counting kit-8(CCK-8)to determine the SERPINA3 expression levels in the constructed resistant cell lines and their parental sensitive cell lines,as well as the differences in their chemosensitivity to gemcitabine.We constructed the SERPINA3-knockdown cell line si-SERPINA with siRNA,and the negative control group si-SERPINA#NC with siRNA negative control.We used MDA assay,CCK-8 assay,EdU cell proliferation assay,transwell migration assay,matrigel invasion assay,scratch assay,and apoptotic assay to respectively detect the lipid oxidation levels,proliferation,migration,invasion,wound-healing ability,and the influence on apoptosis of the gemcitabine-resistant pancreatic cancer cells in the si-SERPINA group and the si-SERPINA#NC group.Results:Compared with normal pancreatic ductal epithelial cells hTERT-HPNE,the expression level of SERPINA3 in various pancreatic cancer cell lines was significantly increased(P＜0.05).mRNA and protein expression levels of SERPINA3 in PANC-1/R and ASPC-1/R were significantly increased compared with those in parent cells(P＜0.001).When SERPINA3 was knocked down in PANC-1/R and ASPC-1/R cells,the survival rate of the cells under different concentrations of gemcitabine chemotherapy decreased,and MDA detected that the lipid oxidation level was increased(P＜0.001).In addition,the proliferation rate of PANC-1/R and ASPC-1/R cell lines with SERPINA3 knockout,the number of migrating/invading cells and the healing rate of scratch test were significantly decreased(P＜0.01),and flow cytometry demonstrated that the number of apoptotic cells was increased(P＜0.05).These results suggest that SERPINA3 knockdown can inhibit the proliferation,migration,invasion and wound healing ability of gemcitabine-resistant pancreatic cancer cells,and promote the apoptosis of these resistant cells.Conclusion:SERPINA3 overexpression was found in various pancreatic cancer cells.SERPINA3 overexpression promoted malignant progression and chemotherapy resistance of pancreatic cancer,and interference with SERPINA3 expression promoted ferroptosis and enhanced chemotherapy sensitivity of gemcitabine-resistant pancreatic cancer cells.

Objective:To explore the value of lumbar volumetric bone mineral density (vBMD) measured by quantitative computed tomography (QCT) in predicting coronary artery calcification (CAC).Methods:This retrospective, cross-sectional study included a total of 991 patients (504 male and 487 female) who underwent coronary artery CT angiography (CTA) and chest, abdomen, or lumbar spine CT examinations at Taihe County People′s Hospital from January 2023 to June 2024. Lumbar vBMD was measured by QCT. The coronary artery calcification score (CACS) was calculated using an artificial intelligence-assisted diagnostic system. Patients were categorized into a low calcification group (CACS≤100, 592 cases) and a moderate-to-severe calcification group (CACS>100, 399 cases). Independent-sample t-tests, Mann-Whitney U tests, or χ2 tests were employed to analyze the differences in clinical data and lumbar vBMD between the two groups. Binary logistic regression was employed to control confounding factors and analyze the correlation between lumbar vBMD and moderate-to-severe CAC. Multivariate binary logistic regression was used to identify independent predictors of moderate-to-severe CAC and construct a combined prediction model. The receiver operating characteristic curve was used to evaluate the efficacy of lumbar vBMD and the combined model in predicting moderate-to-severe CAC. The comparison of the area under the curve (AUC) was conducted using the DeLong test. Results:The age, incidence of diabetes, hypertension, and osteoporosis were significantly higher in the moderate-to-severe calcification group than in the low calcification group, while lumbar vBMD was significantly lower in the former group (all P<0.05). The body mass index, smoking history, and hyperlipidemia had no statistical differences between the two groups (all P>0.05). Following adjustment for potential confounding variables, the results of binary logistic regression analysis revealed that lumbar vBMD was not significantly associated with the presence of moderate-to-severe CAC in the overall study population or in male ( OR=0.998, 95% CI 0.993-1.003, P=0.379; OR=1.000, 95% CI 0.993-1.006, P=0.918). However, lumbar vBMD was a statistically significant predictor in females ( OR=0.992, 95% CI 0.985-0.999, P=0.032). Multivariate binary logistic regression analysis further demonstrated that age ( OR=1.048, 95% CI 1.019-1.077, P=0.001), hypertension ( OR=2.649, 95% CI 1.719-4.082, P<0.001), and lumbar vBMD ( OR=0.992, 95% CI 0.984-0.999, P=0.022) were independent predictors of moderate-to-severe CAC in women. The AUC of lumbar vBMD for predicting moderate-to-severe CAC in female patients was 0.684 (95% CI 0.641-0.725), and the AUC of the combined model was 0.746 (95% CI 0.705-0.784), with a statistically significant difference ( Z=3.26, P=0.001). Conclusions:Lumbar vBMD measured by QCT is an independent predictor of moderate-to-severe CAC in women and demonstrates moderate predictive value. The predictive performance can be enhanced by integrating age and hypertension into a combined predictive model.

Background and purpose:Members of the serine protease inhibitor(SERPIN)family can influence tumorigenesis,progression,and prognosis by modulating processes such as apoptosis,invasion,metastasis,and angiogenesis in tumor cells.However,their role in pancreatic cancer remains unclear.This study aimed to investigate the impact of high expression of serine protease inhibitor A3(SERPINA3)on the proliferation,apoptosis,migration,and chemoresistance of pancreatic cancer cells and its mechanism.Methods:This study analyzed the SERPINA3 expression levels in the normal pancreatic ductal epithelial cell line hTERT-HPNE and pancreatic cancer cell lines SW1990,Capan-1,PANC-1,and ASPC-1 by real-time reverse transcription quantitative polymerase chain reaction(qRT-PCR).We established gemcitabine-resistant pancreatic cancer cell lines PANC-1/R and ASPC-1/R,and used qRT-PCR assay and cell counting kit-8(CCK-8)to determine the SERPINA3 expression levels in the constructed resistant cell lines and their parental sensitive cell lines,as well as the differences in their chemosensitivity to gemcitabine.We constructed the SERPINA3-knockdown cell line si-SERPINA with siRNA,and the negative control group si-SERPINA#NC with siRNA negative control.We used MDA assay,CCK-8 assay,EdU cell proliferation assay,transwell migration assay,matrigel invasion assay,scratch assay,and apoptotic assay to respectively detect the lipid oxidation levels,proliferation,migration,invasion,wound-healing ability,and the influence on apoptosis of the gemcitabine-resistant pancreatic cancer cells in the si-SERPINA group and the si-SERPINA#NC group.Results:Compared with normal pancreatic ductal epithelial cells hTERT-HPNE,the expression level of SERPINA3 in various pancreatic cancer cell lines was significantly increased(P＜0.05).mRNA and protein expression levels of SERPINA3 in PANC-1/R and ASPC-1/R were significantly increased compared with those in parent cells(P＜0.001).When SERPINA3 was knocked down in PANC-1/R and ASPC-1/R cells,the survival rate of the cells under different concentrations of gemcitabine chemotherapy decreased,and MDA detected that the lipid oxidation level was increased(P＜0.001).In addition,the proliferation rate of PANC-1/R and ASPC-1/R cell lines with SERPINA3 knockout,the number of migrating/invading cells and the healing rate of scratch test were significantly decreased(P＜0.01),and flow cytometry demonstrated that the number of apoptotic cells was increased(P＜0.05).These results suggest that SERPINA3 knockdown can inhibit the proliferation,migration,invasion and wound healing ability of gemcitabine-resistant pancreatic cancer cells,and promote the apoptosis of these resistant cells.Conclusion:SERPINA3 overexpression was found in various pancreatic cancer cells.SERPINA3 overexpression promoted malignant progression and chemotherapy resistance of pancreatic cancer,and interference with SERPINA3 expression promoted ferroptosis and enhanced chemotherapy sensitivity of gemcitabine-resistant pancreatic cancer cells.

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.

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.

The deep learning reconstruction(DLR)algorithm is a new CT image reconstruction technology in recent years,which can be used as an alternative to filtered back projection and iterative reconstruction in clinical practice.Compared with traditional image reconstruction algorithms,the DLR algorithm can reduce image noise and radiation dose while preserving image texture,shortening reconstruction time,and improving diagnostic efficiency.Therefore,it has broad clinical application prospects in the field of image reconstruction.This article summarizes the basic principles of the DLR algorithm and its new progress in the clinical application of abdominal CT.