Human epidermal growth factor receptor 2 (HER2) is a key therapeutic target for breast cancer. With the wide application of anti-HER2 and HER2 antibody-drug conjugates such as trastuzumab, pertuzumab, trastuzumab emtansine, and trastuzumab deruxtecan, the survival of patients with advanced HER2-positive breast cancers have been significantly improved. However, the subsequent drug-induced interstitial lung disease (DILD) has gradually become an important complication affecting the therapeutic effect and safety. However, the clinical understanding of interstitial lung disease (ILD) caused by this type of drugs is still insufficient, the management lacks unified standards, and the molecular mechanism has not been fully clarified. This study, through two clinical cases of severe DILD, explores the pathogenesis, treatment strategies, risk factors and follow-up monitoring requirements of ILD caused by HER2-targeted drugs, providing a scientific basis for optimizing the clinical diagnosis and treatment plan.

Objective To analyze the relationship between serum hyaluronic acid levels and Child classification of liver function in Steatosis patients. Methods A total of 110 Steatosis patients admitted to Shaanxi People's Hospital from January 2017 to September 2018 were selected There were 23 cases in Child a group, 52 cases in Child B group and 35 cases in Child C Group. Sex, age, body mass index (BMI) and serum hyaluronic acid (ha) were compared among the three groups. Results There were no significant differences in sex, age and BMI among Child A, Child B and Child C groups (P>0.05) . The level of serum hyaluronic acid in Child class C (91.39±24.67) was significantly higher than that in Child class B (38.26.9.36) and Child class A (29.55±6.97)（P<0.05）. There was no significant difference in serum hyaluronic acid levels between Child B (38.26.9.36) and Child A (29.55 ± 6.97) groups (P > 0.05). Conclusion Serum hyaluronic acid levels are high in Steatosis patients with poor liver function.

Objective To explore the factors for 30-day prognosis of patients with paraquat(PQ)or diquat(DQ)poisoning so as to establish a binary Logistic equation to judge the prognosis and provide effective treatment.Methods We recruited 109 patients with PQ(n=82)or DQ(n=27)poisoning who met the inclusion and exclusion criteria in The First and The Second Affiliated Hospital of Xi'an Jiaotong University from January 2010 to October 2021,and obtained their prognosis of 30 days by medical records and telephone.The death group(n=46)and the survival group(n=63)were divided.The clinical data,biochemical data at 1 h after admission,administration of hemoperfusion(HP)and whether HP combined with continuous renal replacement treatment(CRRT)were compared between the two groups.The independent risk factors in the two groups were analyzed,and the binary Logistic regression equation model was established and verified.Results Age,dosage,lactic acid(Lac),and administration of HP were independent risk factors for 30 days mortality(P＜0.05).Regression equation:Y=Logit(P)=-3.588+0.05 × age+0.031 × dosage+0.467 × Lac-1.915 × presence of HP(no HP assigned as 0,with HP assigned as 1).The model was tested by Hosmer-Lemeshow goodness of fit:x2=7.645,freedom=8,P=0.469,which indicated that the model had a good fit.The sensitivity of the model was 86.96％,the specificity was 88.89％,area under the curve(AUC)was 0.93,the 95％confidence interval(CI)was 0.88-0.98,and the P value was＜0.001.The calibration degree of the model was good,and the C-index was 0.931.The clinical decision curve analysis(DCA)showed that the model had a good standardized net benefit.Conclusion The model can scientifically and effectively predict the 30-day prognosis of patients with PQ or DQ poisoning and guide clinicians.

Objective To study the influence of ANGPTL8 in lipopolysaccharide(LPS)-induced hepatic lipid deposition.Methods Male wild-type(WT)and ANGPTL8 knockout mice at 6-8 weeks were used to induce sepsis models by intrabitoneal injection of LPS(10 mg/kg).qPCR and immunofluorescence were used to detected the mRNA and protein expression of ANGPTL8 in liver tissue and HepG2 cells respectively;The contents of alanine aminotransferase(ALT),aspartate aminotransferase(AST)in serum and the triglyceride(TG)and malondialdehyde(MDA)in liver homogenate were detected by kits;the histopathological changes of liver tissue were analyzed through HE staining.Lipids accumulation in liver were detected by oil red O staining.The apoptosis of liver was determinated by TUNEL staining.RNA-seq was used to analyzing the differentially expressed genes in the liver tissue of WT and ANGPTL8 KO mice,and the qPCR and Western Blot were used to verify the differential expressed genes.Results The expression of ANGPTL8 in the liver was significantly upregulated at 48 hours after LPS stimulation.Compared with WT mice,the hepatic lipid deposition,steatosis,and apoptosis were significantly alleviated in liver of ANGPTL8 KO mice,the ALT and AST levels in serum and the TG and MDA content in liver homogenate of ANGPTL8 KO mice were also reduced significantly.The expression of caveolin-1(CAV1)in liver of ANGPTL8 KO mice was significantly higher than that of WT mice.Conclusions LPS promoted the expression and secretion of ANGPTL8 in liver tissue,and ANGPTL8 increased hepatic lipid deposition and peroxidation by inhibiting the expression of CAV1.

Objective:To study the diagnostic value of artificial intelligence B-ultrasound image computer-aided diagnosis system (hereinafter referred to as intelligent ultrasound system) in adult goiter.Methods:In June 2022 and March 2023, two phases of thyroid disease survey were carried out in 4 cities in Anhui Province. One village was selected in each city, and 250 adults were selected as survey subjects in each village. Adult bilateral thyroid area was scanned by both intelligent ultrasound system and conventional ultrasound scanning equipment, and the effectiveness of intelligent ultrasound system in the diagnosis of goiter was analyzed based on the results of conventional ultrasound examination. Receiver operating characteristic (ROC) curve was drawn, and Kappa test was used to analyze the consistency between intelligent ultrasound system and conventional ultrasound examination in the diagnosis of goiter. At the same time, Spearman correlation analysis and Bland-Altman method were used to evaluate the consistency of the two methods in measuring thyroid volume.Results:After screening and removing outliers and missing values, a total of 910 adults were included, including 253 males (27.80%) and 657 females (72.20%). The age was (45.92 ± 10.20) years old, ranging from 18 to 60 years old. The sensitivity, specificity, and accuracy of the intelligent ultrasound system for diagnosing adult goiter were 80.00%, 99.67%, and 99.56%, respectively. The area under the ROC curve (AUC) was 0.996, which was consistent with the results of conventional ultrasound examination for diagnosing goiter ( κ = 0.67, P < 0.001). After controlling for variables such as gender, thyroid function, and thyroid nodules, the intelligent ultrasound system showed good consistency with conventional ultrasound examination in the diagnosis of goiter in females, adults with thyroid dysfunction, and adults without thyroid nodules ( κ = 0.66, 0.80, 0.80, P < 0.001). The consistency in the diagnosis of goiter in adults with thyroid nodules was moderate ( κ = 0.56, P < 0.001). Spearman correlation analysis showed a highly positive correlation between the measurement results of adult thyroid volume by intelligent ultrasound system and conventional ultrasound examination ( r = 0.88, P < 0.001). The Bland-Altman method results showed that only 4.62% (42/910) of points in adults were outside the 95% consistency limit, indicating good consistency between intelligent ultrasound system and conventional ultrasound examination in measuring thyroid volume (< 5%). The proportion of points outside the 95% consistency limit in males, adults with thyroid dysfunction, and adults with thyroid nodules was 6.72% (17/253), 5.83% (12/206), and 6.45% (12/186), respectively. Conclusions:The intelligent ultrasound system has certain diagnostic value for adult goiter and has good consistency with conventional ultrasound examination for thyroid volume measurement. However, the accuracy of diagnosis for males and adults with thyroid nodules still needs to be improved.

Objective:To explore the value of the Nomogram model established by CT radiomics combined with clinical indicators for prediction of the severity of early acute pancreatitis (AP).Methods:From January 2016 to March 2023, the AP patients in the Second Affiliated Hospital of Soochow University were retrospectively collected. According to the revised Atlanta classification and definition of acute pancreatitis in 2012, all patients were divided into the severe group and the non-severe group. All patients were first diagnosed, and abdominal CT plain scan and enhanced scan were completed within 1 week. Patients were randomly (random number) divided into training and validation groups at a ratio of 7:3. The pancreatic parenchyma was delineated as the region of interest on each phase CT images, and the radiomics features were extracted by python software. LASSO regression and 10-fold cross-validation were used to reduce the dimension and select the optimal features to establish the radiomics signature. Multivariate Logistic regression was used to select the independent predictors of severe acute pancreatitis (SAP), and a clinical model was established. A Nomogram model was established by combining CT radiomics signature and clinical independent predictors. Receiver operating characteristic (ROC) curve and decision curve analysis (DCA) were used to evaluate the predictive efficacy of each model.Results:Total of 205 AP patients were included (59 cases in severe group, 146 cases in non-severe group). 3, 5, 5 and 5 optimal radiomics features were selected from the plain CT scan, arterial phase, venous phase and delayed phase images of all patients, and the radiomics models were established. Among them, the arterial phase radiomics model had relatively better performance in predicting SAP, with an area under curve (AUC) of 0.937 in the training group and 0.913 in the validation group. Multivariate Logistic regression showed that C-reactive protein (CRP) and lactate dehydrogenase (LDH) were independent predictors of SAP, and they were used to establish a clinical model. The AUC in the training and validation groups were 0.879 and 0.889, respectively. The Nomogram model based on arterial phase CT radiomics signature, CRP and LDH was established, and the AUC was 0.956 and 0.947 in the training group and validation group, respectively. DCA showed that the net benefit of Nomogram model was higher than that of clinical model or radiomics model alone.Conclusions:The Nomogram model established by CT radiomics combined with clinical indicators has high application value for early prediction of the severity of AP, which is conducive to the formulation of clinical treatment plans and prognosis evaluation.

Objective:To investigate the value of dual-detector spectral CTA in distinguishing infarct core from penumbra in patients with acute ischemic stroke(AIS), and to further explore the risk factors associated with infarct core and their predictive value.Methods:The imaging and clinical data of 163 patients with AIS who met the inclusion criteria admitted to the Second Affiliated Hospital of Soochow University from March 2022 to May 2023 were retrospectively analyzed. Patients from March 2022 to December 2022 were used as the training group, and patients from January 2023 to May 2023 were used as the validation group for internal validation. The head and neck spectral CTA and brain CT perfusion imaging with dual-layer detector spectral CT were all carried out on all patients. Using CTP as reference, the patients were divided into infarct core group and non-infarct core group according to whether an infarct core occurred in the hypoperfusion regions of brain tissue. Multivariate logistic regression analysis was used to screen predictors related to the infarct core. The receiver operating characteristic (ROC) curve was used to evaluate the predictive efficacy.Results:A total of 163 patients were included in the study, including 112 in the training group and 51 in the validation group. There were significant differences in iodine density, effective atomic number, hypertension, triglyceride and neutrophils between the two groups ( P< 0.05). The cutoff values for iodine density values and effective atomic number values were 0.215 mg/mL and 7.405, respectively. Multivariate logistic regression analysis showed that iodine density and hypertension were independent risk factors for infarct core in AIS, and triglyceride was an independent protective factor. The area under the ROC curve (AUC) of iodine density value was the largest (0.859), with a sensitivity of 70.27%, and a specificity of 90.67%, which had a good predictive value. The ROC curve analysis results for the validation group were consistent with the training group. Conclusions:Spectral CT parameters iodine density values and effective atomic number values have the potential to distinguish the infarct core area from the penumbra area in patients with AIS. Iodine density and hypertension were independent risk factors of infarct core in AIS, triglyceride was an independent protective factor, and iodine density values obtained by dual-layer spectral detector CT had a high predictive value.

This paper aims to discuss the ideas and experience about the radiology residency training system of Canada with a presentation of its base accreditation standards for five aspects, competency goals for seven roles, four stages of training arrangement, and two types of final assessment questions. Although the Canada's radiology residency program differs from China's standardized resident and specialist training programs for radiology, there are still several points that are worth referencing, including emphasizing the training priority of competency goals, providing a specific basis for the stratification of training, offering clear guidance for the implementation of training content, and improving assessment methods to focus on competency goals. These points are of great value for improving the standardized radiology resident and specialist training programs in China, so as to provide a reference for the training of excellent radiologists in China.

Objective:To investigate the effects of the "TECK" (theoretical class, experimental course, case discussion, and knowledge reinforcement) teaching model oriented by post competency in clinical pathology internship teaching.Methods:The intern students from 2015 to 2019 in the pathology direction of clinical medicine in the School of Pathology, Qiqihar Medical College, who were enrolled in the internship from 2019 to 2023, were selected as the research objects.We enrolled 32 medical students from grades 2017, 2018, and 2019 (research group) and 24 medical students from grades 2015 and 2016 (control group) who would participate in pathology internships. The control group adopted the traditional internship mode, while the research group adopted the competency-oriented "TECK" teaching mode. After the internship, the two groups were compared for internship assessment score and surveyed for post competency. With the use of SPSS 18.0 statistical software. Continuous data were presented as (mean±standard deviation) and t-test was used for comparison between groups. Count data were expressed in the number of cases, and chi-square test was used for comparison between groups.The significance level α was 0.05. Results:The research group showed significantly higher scores of skill assessment (82.81±4.20 vs. 79.58±5.09) and pathological diagnosis assessment (80.28±4.23 vs. 76.21±4.58) than the control group (both P<0.05), with no significant difference in the score of theoretical knowledge ( P>0.05). In terms of post competency, the research group was superior to the control group in clinical skills and medical care ability (12.38±0.94 vs. 11.35±0.76), disease prevention and health promotion ability (6.28±0.92 vs. 4.48±0.93), interpersonal communication and information management ability (19.81±1.09 vs. 17.00±1.28), and teamwork and scientific research ability (11.44±1.27 vs. 9.25±0.87; all P<0.05). There were no significant differences between the two groups in core values and professional literacy and medical knowledge and lifelong learning (both P>0.05). Conclusions:In undergraduate internships, the competency-oriented "TECK"teaching mode can significantly improve students' clinical operation and pathological diagnosis ability, and effectively cultivate their abilities of clinical skills and medical care, disease prevention and health promotion, interpersonal communication and information management, teamwork and scientific research.