Purpose To explore the value of contrast-enhanced CT habitat imaging(HI)in preoperative non-invasive visualization for predicting pathological grading of clear cell renal carcinoma(ccRCC).Materials and Methods A retrospective analysis was conducted on enhanced CT images and clinical data from 240 patients with pathologically confirmed ccRCC at Xijing Hospital,the Fourth Military Medical University from January 2020 to December 2023.All patients were randomly divided into training and test sets at a 7:3 ratio and classified into low-grade group(International Society of Urological Pathology Ⅰ-Ⅱ)and high-grade group(International Society of Urological Pathology Ⅲ-Ⅳ)based on postoperative pathology.Using wash-in and wash-out parametric maps,the tumors were segmented into three perfusion-based habitat subregions(low,medium and high)via K-means clustering,and the volume fraction of each subregion was calculated.Predictive factors were selected from habitat features and clinical variables(including sex,age,tumor size,etc.)using Logistic regression.Three models were constructed:a clinical model,a habitat imaging model and a combined clinical-habitat model.Model performance was evaluated using receiver operating characteristic curve,calibration curve and decision curve analysis.Results Habitat 3 exhibited higher wash-in and wash-out gradients compared to Habitats 1 and 2,indicating hyper perfusion.Its proportion was significantly higher in the low-grade group than in the high-grade group(Z=-7.71,-5.11,both P<0.01).Multivariate Logistic regression identified hypertension,maximum tumor diameter and platelet-to-lymphocyte ratio as independent risk factors for high-grade ccRCC,while the proportion of Habitat 3 was a protective factor(OR=0.297,95％CI 0.184-0.479).The combined clinical-habitat model demonstrated the highest predictive performance[area under the curve(AUC)=0.938],significantly outperforming the clinical model(AUC=0.801,Z=-3.832,P<0.01)and the habitat imaging model(AUC=0.895,Z=-2.157,P=0.031).Conclusion The clinical-habitat imaging model achieves the highest predictive performance for ccRCC pathological grading.Contrast-enhanced CT habitat imaging provides significant incremental value in predicting ccRCC pathological grading,showing potential to guide precision medicine in clinical practice.

Renal cell carcinoma is one of the most common malignant tumors of the urinary system.Radiomics,as a non-invasive and efficient diagnostic method,can extract high-throughput imaging features imperceptible to the human eye,offering new possibilities for precise diagnosis and evaluation of renal cell carcinoma.However,radiomics often treats the entire tumor as a homogeneous region,overlooking intratumoral heterogeneity and exhibiting poor biological interpretability.As an emerging imaging technology based on biological contexts,habitat imaging utilizes quantitative imaging biomarkers to delineate distinct spatial regions with similar biological characteristics within a tumor,thereby visualizing and quantifying intratumoral heterogeneity.This article reviews and prospects the advances and future directions of radiomics and habitat imaging in renal cell carcinoma.

Objective To investigate the metabolic characteristics of patients with early-onset type 2 diabetes mellitus(T2DM)and to develop a risk prediction model for microvascular complications.Methods A retrospective study was conducted on 980 T2DM patients admitted for treatment between April 2020 and April 2024.Based on age at diagnosis,the patients were divided into two groups,an early-onset T2DM group(age at diagnosis<40 years,n=265)and a late-onset T2DM group(age at diagnosis≥40 years,n=715).Differences in metabolic indicators between the two groups were compared.Patients in the early-onset group were further divided into a complication subgroup(n=142)and a non-complication subgroup(n=123)based on the presence or absence of microvascular complications.Data on baseline characteristics,metabolic parameters,and laboratory indicators were collected and compared between the two groups.Multivariate logistic regression analysis was used to identify independent risk factors for microvascular complications,and a nomogram prediction model was constructed.The model's discriminative performance was assessed using receiver operating characteristic(ROC)curves,and its calibration was evaluated using calibration curves and the Hosmer-Lemeshow test.Decision curve analysis(DCA)was also performed to assess the model's clinical utility.Results Compared with the late-onset group,patients in the early-onset group exhibited more pronounced metabolic abnormalities,including higher body mass index(BMI),proportion of family history of diabetes mellitus,glycated hemoglobin(HbA1c)levels,total cholesterol(TC),triglycerides(TG),low-density lipoprotein cholesterol(LDL-C),triglyceride-glucose index(TyG),and lactate dehydrogenase(LDH)levels(all P<0.05),along with a shorter disease duration and lower levels of high-density lipoprotein cholesterol(HDL-C)(P<0.05).According to a multivariate analysis,systolic blood pressure(SBP),total bilirubin(TBIL),HDL-C,LDL-C,TyG,and LDH were identified as independent risk factors for microvascular complications in patients with early-onset T2DM.A predictive model based on these factors was established as the follows,Log(P)=-19.915+0.017×SBP-0.136×TBIL-1.241×HDL-C+0.684×LDL-C+0.769×TyG+0.050×LDH.The area under the ROC curve(AUC)was 0.864(95%CI,0.820-0.907),and the Hosmer-Lemeshow test indicated good model fit(χ2=10.286,P=0.246).The slope of the DCA curve was also close to 1.Conclusion The nomogram prediction model based on SBP,TBIL,HDL-C,LDL-C,TyG,and LDH demonstrates good predictive performance for microvascular complications and can provide a reference for clinical risk stratification and individualized intervention.

Purpose To explore the value of contrast-enhanced CT habitat imaging(HI)in preoperative non-invasive visualization for predicting pathological grading of clear cell renal carcinoma(ccRCC).Materials and Methods A retrospective analysis was conducted on enhanced CT images and clinical data from 240 patients with pathologically confirmed ccRCC at Xijing Hospital,the Fourth Military Medical University from January 2020 to December 2023.All patients were randomly divided into training and test sets at a 7:3 ratio and classified into low-grade group(International Society of Urological Pathology Ⅰ-Ⅱ)and high-grade group(International Society of Urological Pathology Ⅲ-Ⅳ)based on postoperative pathology.Using wash-in and wash-out parametric maps,the tumors were segmented into three perfusion-based habitat subregions(low,medium and high)via K-means clustering,and the volume fraction of each subregion was calculated.Predictive factors were selected from habitat features and clinical variables(including sex,age,tumor size,etc.)using Logistic regression.Three models were constructed:a clinical model,a habitat imaging model and a combined clinical-habitat model.Model performance was evaluated using receiver operating characteristic curve,calibration curve and decision curve analysis.Results Habitat 3 exhibited higher wash-in and wash-out gradients compared to Habitats 1 and 2,indicating hyper perfusion.Its proportion was significantly higher in the low-grade group than in the high-grade group(Z=-7.71,-5.11,both P<0.01).Multivariate Logistic regression identified hypertension,maximum tumor diameter and platelet-to-lymphocyte ratio as independent risk factors for high-grade ccRCC,while the proportion of Habitat 3 was a protective factor(OR=0.297,95％CI 0.184-0.479).The combined clinical-habitat model demonstrated the highest predictive performance[area under the curve(AUC)=0.938],significantly outperforming the clinical model(AUC=0.801,Z=-3.832,P<0.01)and the habitat imaging model(AUC=0.895,Z=-2.157,P=0.031).Conclusion The clinical-habitat imaging model achieves the highest predictive performance for ccRCC pathological grading.Contrast-enhanced CT habitat imaging provides significant incremental value in predicting ccRCC pathological grading,showing potential to guide precision medicine in clinical practice.

Renal cell carcinoma is one of the most common malignant tumors of the urinary system.Radiomics,as a non-invasive and efficient diagnostic method,can extract high-throughput imaging features imperceptible to the human eye,offering new possibilities for precise diagnosis and evaluation of renal cell carcinoma.However,radiomics often treats the entire tumor as a homogeneous region,overlooking intratumoral heterogeneity and exhibiting poor biological interpretability.As an emerging imaging technology based on biological contexts,habitat imaging utilizes quantitative imaging biomarkers to delineate distinct spatial regions with similar biological characteristics within a tumor,thereby visualizing and quantifying intratumoral heterogeneity.This article reviews and prospects the advances and future directions of radiomics and habitat imaging in renal cell carcinoma.

Objective:To investigate the clinical features and prognosis of prolonged cytopenia (PC) in patients with large B-cell lymphoma (LBCL) undergoing anti-CD19 chimeric antigen receptor T (CAR-T) cell therapy.Methods:A retrospective case series study was conducted on LBCL patients who received CAR-T cell therapy with a survival time of over one month at the Hematology Department of Peking Union Medical College Hospital from March 2019 to December 2023. Statistical analyses were performed on hematologic changes at 1, 3, 6, and 12 months post-CAR-T infusion, as well as on the progression-free survival (PFS) and post-treatment adverse events, including infections. Patients were categorized into the PC and non-PC groups based on the occurrence of cytopenia at 90 days post-infusion. Differences between groups were compared, and univariate logistic regression analysis was used to identify risk factors.Results:The median age of 27 LBCL patients receiving CAR-T cell therapy was 58 years (range 27-69 years), with 18 males. Among the 27 LBCL patients who received CAR-T cell therapy, PC was observed in 19 patients (70.4%), with instances of neutropenia (48.1%, 13 cases), anemia (37.0%, 10 cases), and thrombocytopenia (22.2%, 6 cases). Univariate logistic regression analysis revealed that prior chemotherapy sensitivity ( OR=18.00, 95% CI 1.56-207.45, P=0.020) and bone marrow suppression ( OR=18.00, 95% CI 1.38-235.69, P=0.028) were associated with PC. The median follow-up time was 13.5 months. The PC group exhibited a higher risk of infection within 3 months (9/19 vs. 1/8) and a shorter mean PFS (19.3 months vs. 24.4 months), although the difference was not statistically significant (both P>0.05). Conclusions:PC is common following CAR-T cell therapy and is associated with an increased risk of infection and poorer prognosis. Prior treatment sensitivity and bone marrow suppression may serve as indicators of PC.

A series of new monobactam sulfonates is continuously synthesized and evaluated for their antimicrobial efficacies against Gram-negative bacteria. Compound 33a (IMBZ18G) is highly effective in vitro and in vivo against clinically intractable multi-drug-resistant (MDR) Gram-negative strains, with a highly druglike nature. The checkerboard assay reveals its significant synergistic effect with β-lactamase inhibitor avibactam, and the MIC values against MDR enterobacteria were reduced up to 4-512 folds. X-ray co-crystal and chemoproteomic assays indicate that the anti-MDR bacteria effect of 33a results from the dual inhibition of the common PBP3 and some class A and C β-lactamases. Accordingly, preclinical studies of 33a alone and 33a‒avibactam combination as potential innovative candidates are actively going on, in the treatment of β-lactamase-producing MDR Gram-negative bacterial infections.

Chest trauma is one of the most common injuries. Venous thromboembolism (VTE) as a common complication of chest trauma seriously affects the quality of patients′ life and even leads to death. Although there are some consensus and guidelines on the prevention and treatment of VTE at home and abroad, the current literatures lack specificity considering the diagnosis, treatment and prevention of VTE in patients with chest trauma have their own characteristics, especially for those with blunt trauma. Accordingly, China Chest Injury Research Society and editorial board of Chinese Journal of Traumatology organized relevant domestic experts to jointly formulate the Chinese expert consensus on the diagnosis, treatment and prevention of chest trauma venous thromboembolism associated with chest trauma (2022 version). This consensus provides expert recommendations of different levels as academic guidance in terms of the characteristics, clinical manifestations, risk assessment, diagnosis, treatment, and prevention of chest trauma-related VTE, so as to offer a reference for clinical application.

Background::Reperfusion therapy is fundamental for ST-segment elevation myocardial infarction (STEMI). However, the details of contemporary practice and factors associated with reperfusion therapy in China are largely unknown. Therefore, this study aimed to explore reperfusion practice and its associated factors among hospitalized patients with STEMI in China.Methods::Patients with STEMI who were admitted to 159 tertiary hospitals from 30 provinces in China were included in the Improving Care for Cardiovascular Disease in China-Acute Coronary Syndrome project from November 2014 to December 2019. The associations of the characteristics of patients and hospitals with reperfusion were examined using hierarchical logistic regression. The associations between therapies and in-hospital major adverse cardiovascular events were examined with a mixed effects Cox regression model.Results::Among the 59,447 patients, 37,485 (63.1%) underwent reperfusion, including 4556 (7.7%) receiving fibrinolysis and 32,929 (55.4%) receiving primary percutaneous coronary intervention (PCI). The reperfusion rate varied across geographical regions (48.0%-73.5%). The overall rate increased from 60.0% to 69.7% from 2014 to 2019, mainly due to an increase in primary PCI within 12 h of symptom onset. Timely PCI, but not fibrinolysis alone, was associated with a decreased risk of in-hospital major adverse cardiovascular events compared with no reperfusion, with an adjusted hazard ratio (95% confidence interval) of 0.64 (0.54,0.76) for primary PCI at <12 h, 0.53 (0.37,0.74) for primary PCI at 12 to 24 h, 0.46 (0.25,0.82) for the pharmaco-invasive strategy, and 0.79 (0.54,1.15) for fibrinolysis alone.Conclusions::Nationwide quality improvement initiatives should be strengthened to increase the reperfusion rate and reduce inequality in China.Trial registration::www.ClinicalTrials.gov, NCT02306616

Objective:This study aimed to investigate the relationships between anthropometric parameters and carotid elasticity by real-time vascular quantification stiffness technique (R-VQS), and to identify the predictive value of anthropometric parameters for cardiovascular disease risk.Methods:A total of 563 adults were recruited for this study and were divided into two groups by gender. The anthropometric indices [body mass index (BMI), waist circumference (WC), a body shape index (ABSI), body round index (BRI), and visceral adiposity index (VAI)] were calculated. R-VQS technique was used to assess the parameters of carotid elasticity: pulse wave velocity (PWV). The correlations between the anthropometric indices and PWV were analyzed. Linear regression was used to analyze the predictive factors of PWV.Results:⑴ The BMI, WC, ABSI, BRI, VAI and PWV were higher in men than those in women ( P<0.05); ⑵ In men and women, all the anthropometric parameters positively correlated with systolic blood pressure (SBP), diastolic blood pressure (DBP), total cholesterol (TC), triglycerides (TG), and negatively correlated with high-density lipoprotein (HDL) ( P<0.05); ⑶ diabetes mellitus (DM) and hypertension history were predictors of PWV in men ( β=0.110, 0.101, respectively, P<0.05); DM, hypertension history and smoking status were predictors of PWV in women ( β=0.061, 0.095, 0.067, respectively, P<0.05); ⑷ After adjusting for diabetes, hypertension and smoking, ABSI and VAI were predictors of PWV in men ( β=0.078, 0.068, P<0.05); BMI, WC, ABSI, BRI and VAI were predictive factors of carotid PWV in women ( β=0.131, 0.123, 0.204, 0.153, 0.196, P<0.05). Conclusions:Among the anthropometric indexes, ABSI and VAI have good correlations with carotid elasticity in wen and women, represented by PWV. These results suggest that ABSI and VAI may be convenient, highly cost-effective and simple parameters for obesity and are associated with cardiovascular disease (CVD) risk in clinical practice. R-VQS is a convenient, real-time and rapid technique for the early assessment of the carotid elasticity.