[Objective] To establish a new scoring system to predict the perioperative outcomes (operation time, intraoperative blood loss, and trifecta achievement) in patients undergoing robot-assisted partial nephrectomy (RAPN) by integrating the RENAL and Mayo adhesive probability (MAP) scores. [Methods] Clinical data of 178 patients with renal cell carcinoma who underwent RAPN performed by the same surgeon in our hospital during Jan.2015 and Jan.2022 were retrospectively analyzed.The RENAL and MAP scores of all patients were calculated.Linear regression and logistic regression were used to evaluate the associations between the components of the RENAL and MAP scores (a total of 6 variables) and perioperative outcomes.The factors with significant associations were then included into logistic regression analysis to identify independent predictors for constructing an assessment system for perioperative outcomes, and the receiver operating characteristic (ROC) curve was plotted to calculate the area under the curve (AUC) to predict its efficacy. [Results] Multivariate linear regression analysis showed that tumor size (β=6.14, 95%CI: 1.93—10.34, P=0.004), exophytic rate (β=10.60, 95%CI: 3.44—17.76, P=0.004), and perinephric fat thickness (β=16.48, 95%CI: 8.52—24.45, P<0.001) were significantly associated with operation time.Tumor size (β=10.55 95%CI: 5.60—15.49, P<0.001) was associated with both intraoperative blood loss and trifecta achievement (OR=1.73, 95%CI: 1.26—2.36, P=0.001). Multivariate logistic regression analysis of these 3 factors identified tumor size (OR=9.07, 95% CI: 1.18—69.45, P=0.03) and perinephric fat thickness (OR=2.28, 95%CI: 1.86—6.04, P=0.01) as independent predictors of perioperative outcomes.Based on these findings, the tumor size and perinephric fat thickness (RP) scoring was constructed, which demonstrated better predictive ability than RENAL score or MAP score alone (RP vs.RENAL vs.MAP: 0.766 vs.0.548 vs.0.684). [Conclusion] The RP score includes fewer variables than the RENAL and MAP scores but outperforms them.

ObjectivePrimary liver cancer, predominantly hepatocellular carcinoma (HCC), is a significant global health issue, ranking as the sixth most diagnosed cancer and the third leading cause of cancer-related mortality. Accurate and early diagnosis of HCC is crucial for effective treatment, as HCC and non-HCC malignancies like intrahepatic cholangiocarcinoma (ICC) exhibit different prognoses and treatment responses. Traditional diagnostic methods, including liver biopsy and contrast-enhanced ultrasound (CEUS), face limitations in applicability and objectivity. The primary objective of this study was to develop an advanced, light-weighted classification network capable of distinguishing HCC from other non-HCC malignancies by leveraging the automatic analysis of brightness changes in CEUS images. The ultimate goal was to create a user-friendly and cost-efficient computer-aided diagnostic tool that could assist radiologists in making more accurate and efficient clinical decisions. MethodsThis retrospective study encompassed a total of 161 patients, comprising 131 diagnosed with HCC and 30 with non-HCC malignancies. To achieve accurate tumor detection, the YOLOX network was employed to identify the region of interest (ROI) on both B-mode ultrasound and CEUS images. A custom-developed algorithm was then utilized to extract brightness change curves from the tumor and adjacent liver parenchyma regions within the CEUS images. These curves provided critical data for the subsequent analysis and classification process. To analyze the extracted brightness change curves and classify the malignancies, we developed and compared several models. These included one-dimensional convolutional neural networks (1D-ResNet, 1D-ConvNeXt, and 1D-CNN), as well as traditional machine-learning methods such as support vector machine (SVM), ensemble learning (EL), k-nearest neighbor (KNN), and decision tree (DT). The diagnostic performance of each method in distinguishing HCC from non-HCC malignancies was rigorously evaluated using four key metrics: area under the receiver operating characteristic (AUC), accuracy (ACC), sensitivity (SE), and specificity (SP). ResultsThe evaluation of the machine-learning methods revealed AUC values of 0.70 for SVM, 0.56 for ensemble learning, 0.63 for KNN, and 0.72 for the decision tree. These results indicated moderate to fair performance in classifying the malignancies based on the brightness change curves. In contrast, the deep learning models demonstrated significantly higher AUCs, with 1D-ResNet achieving an AUC of 0.72, 1D-ConvNeXt reaching 0.82, and 1D-CNN obtaining the highest AUC of 0.84. Moreover, under the five-fold cross-validation scheme, the 1D-CNN model outperformed other models in both accuracy and specificity. Specifically, it achieved accuracy improvements of 3.8% to 10.0% and specificity enhancements of 6.6% to 43.3% over competing approaches. The superior performance of the 1D-CNN model highlighted its potential as a powerful tool for accurate classification. ConclusionThe 1D-CNN model proved to be the most effective in differentiating HCC from non-HCC malignancies, surpassing both traditional machine-learning methods and other deep learning models. This study successfully developed a user-friendly and cost-efficient computer-aided diagnostic solution that would significantly enhances radiologists’ diagnostic capabilities. By improving the accuracy and efficiency of clinical decision-making, this tool has the potential to positively impact patient care and outcomes. Future work may focus on further refining the model and exploring its integration with multimodal ultrasound data to maximize its accuracy and applicability.

Background::Breast cancer is ranked among the most prevalent malignancies in the Chinese female population. However, comprehensive reports detailing the latest epidemiological data and attributable disease burden have not been extensively documented.Methods::In 2018, high-quality cancer surveillance data were recorded in 700 population-based cancer registries in China. We extracted data on female breast cancers (International Classification of Diseases, Tenth Revision [ICD-10]: C50) and estimated the incidence and mortality in 2022 according to the baseline data and corresponding trends from 2010 to 2018. Pathological types were classified according to the ICD for Oncology, 3rd Edition codes. Disability-adjusted life years (DALYs) were calculated as the sum of the years of life lost (YLLs) and years lived with disability (YLDs).Results::In 2022, approximately 357,200 new female breast cancer cases and 75,000 deaths occurred in China, accounting for 15.59% and 7.94% of total new cancer cases and deaths, respectively. The age-standardized incidence rate (ASIR) was 33.04 per 100,000. When analyzed by pathological type, the ASIRs for papillary neoplasms, invasive breast carcinoma, rare and salivary gland-type tumors, and other types were 1.13, 29.79, 0.24, and 1.88 per 100,000, respectively. The age-standardized mortality rate (ASMR) was 6.10 per 100,000. A total of 2,628,000 DALYs were found to be attributable to female breast cancer in China, comprising 2,278,300 YLLs and 349,700 YLDs. The ASIR, ASMR, and age-standardized rate (ASR) for DALYs in urban areas were consistently higher than those in rural areas. We observed a four-fold increase in the ASIR and ASR for DALYs and an eight-fold increase in the ASMR among females over 55 years compared with those aged under 55 years.Conclusion::These data provide invaluable insights into the latest epidemiology of female breast cancer in China and highlight the urgency for disease prevention and control strategy formulation.

Aim To explore the protective effect of an-thocyanin B2(PCB2)on hydrogen peroxide(H2O2)induced oxidative damage and apoptosis in human oli-godendrocytes(MO3.13)and the underlying mecha-nism.Methods The optimal concentration of H2O2 and PCB2 for action was screened,and divided into normal group,PCB2 group(100 mg·L-1 PCB2 treat-ment for 24 hours),H2 O2 model group(500 μmol·L-1 H2O2 treatment for 24 hours),and H2O2+PCB2 group(500 μmol·L-1 H2O2 and 100 mg·L-1 PCB2 co-treated for 24 hours).FRAP method was used to detect the antioxidant capacity of PCB2;CCK-8 meth-od was used to detect the survival rate of cells in each group,while LDH method was used to assess cytotoxic-ity.Microenzyme-linked immunosorbent assay and ELISA were used to examine the levels of LDH,NO,H2O2,as well as the activities of CAT and SOD in each group of cells.Immunofluorescence and Western blot were used to detect the protein expression levels of NRF2,xCT,HO-1,ferritin,and GPX4 in each group of cells.FerroOrange fluorescent probe was used to de-tect the intracellular content of ferrous ions(Fe2+).Results H2O2 could induce MO3.13 oxidative dam-age and lead to cell ferroptosis,while PCB2 could alle-viate MO3.13 oxidative damage and ferroptosis.Com-pared with the H2O2 model group,PCB2 intervention could significantly increase LDH content in MO3.13,reduce NO and H2O2 content,and improve SOD and CAT activity,and up-regulate the protein expression levels of NRF2,xCT,HO-1,ferritin,and GPX4.Conclusion PCB2 can enhance cellular antioxidant capacity and alleviate H2O2 induced MO3.13 oxidative damage through the NRF2/HO-1/xCT/GPX4 axis.

DPP4 is a serine exopeptidase that is immobilized on the cell membrane and plays a crucial regulatory role in various physiological and pathological activities within the human body.In addition to acting as a transcription factor to regulate the tran-scription and expression of downstream target genes,DPP4 also functions as a transcription-independent regulator through pro-tein-protein interactions.In recent studies,DPP4 has been strongly linked to various diseases,and several substances with the potential to target DPP4 have been identified.This paper mainly reviews the multifunctionality of DPP4 in regulating vari-ous aspects of energy metabolism,inflammation,tissue repair and carcinogenesis in the body.It also reviews the screening of in vitro inhibitors of DPP4 and its research progress in regulating chronic liver disease,based on the pathological development process of chronic liver disease.

Objective To investigate the effect of injection volume on clinical efficacy after minimally invasive puncture and drainage in the treatment of moderate basal ganglia cerebral hemorrhage underlying controlling the dosage of drugs in the elderly.Methods After successfully inserting the puncture needle into the center point in the largest layer long axis,the liquid hematoma was aspirated,and 40,000 units urokinase was injected into the hematoma cavity twice a day(2 mL in the small volume Group(SG),and 4 mL in the large volume group(LG),respectively).The needle were then adjusted and removed according to the hematoma clearance.The clearance rate of hematoma,intracranial pressure,edema volume,mortality,incidence of complications,neurological deficit score(NDS)and activities of daily living(ADL)were compared and analyzed.Results There were no significant differences in the first hematoma clearance rate,postoperative ICP and mortality between the two groups(P>0.05).Comparing to the SG,there was a relative higher postoperative hematoma clearance rate and lower volume of perihematoma edema in the LG(P<0.05).Meanwhile,the needle retention time,urokinase usage and cumulative complications at 28 days after operation were lower than in the SG(P<0.05).For two parameters representing long-term outcome,the NDS and ADL scores were much better in LG than in SG(P<0.05).Conclusion Large volume injection can effectively drain the hematoma,shorten the needle retention time,reduce the usage of urokinase,decrease the incidence of postoperative complications and improve the prognosis of patients,thereby providing effective and safe method in treating moderate basal ganglia cerebral hemorrhage in the elderly.

Objective:To evaluate the diagnostic efficacy of brush cytology and transpapillary biopsy sampling under the guidance of endoscopic retrograde cholangiopancreatography (ERCP) in distinguishing between benign and malignant biliary strictures.Methods:A total of 470 patients with unknown biliary strictures who underwent ERCP at Department of Gastroenterology, Beijing Friendship Hospital from January 2013 to January 2022 were enrolled. Brush cytology was performed before biopsy in a single procedure, and with multiple ERCP brush cytologies or biopsy performed for challenging cases. Clinical data, ERCP procedures, pathological results, and follow-up data were collected. With the final diagnosis as the golden standard, the diagnostic efficacy of brush cytology and biopsy sampling were calculated.Results:The final diagnosis showed 251 cases of malignant and 219 cases of benign biliary strictures. All 470 patients received brush cytology, among whom, 37 patients underwent multiple brush cytologies. Additionally, 114 patients were treated with biopsy sampling. The single brush cytology showed a sensitivity of 49.40% (124/251) and a specificity of 99.09% (217/219) for diagnosing malignant biliary strictures. Multiple brush cytologies showed a sensitivity of 68.42% (13/19) and a specificity of 100.00% (18/18). Biopsy sampling showed a sensitivity of 68.18% (45/66) and a specificity of 97.92% (47/48). Among the 114 patients who underwent both brush cytology and biopsy sampling, the results showed that the diagnostic sensitivity of brush cytology combined with biopsy sampling [77.27% (51/66)] and the sensitivity of single biopsy sampling [68.18% (45/66)] were significantly higher than that of single brush cytology [43.94% (29/66), χ 2=13.99, P<0.001; χ 2=6.92, P=0.009]. Conclusion:Combining brush cytology and biopsy forceps during ERCP enhances diagnostic sensitivity in identifying malignant biliary strictures. Biopsy sampling stands out as more sensitive compared with single brush cytology, emphasizing its role in improving diagnostic capabilities.

Objective:To retrospectively analyze the treatment status of tyrosine kinase inhibitors (TKI) in newly diagnosed patients with chronic myeloid leukemia (CML) in China.Methods:Data of chronic phase (CP) and accelerated phase (AP) CML patients diagnosed from January 2006 to December 2022 from 77 centers, ≥18 years old, and receiving initial imatinib, nilotinib, dasatinib or flumatinib-therapy within 6 months after diagnosis in China with complete data were retrospectively interrogated. The choice of initial TKI, current TKI medications, treatment switch and reasons, treatment responses and outcomes as well as the variables associated with them were analyzed.Results:6 893 patients in CP ( n=6 453, 93.6%) or AP ( n=440, 6.4%) receiving initial imatinib ( n=4 906, 71.2%), nilotinib ( n=1 157, 16.8%), dasatinib ( n=298, 4.3%) or flumatinib ( n=532, 7.2%) -therapy. With the median follow-up of 43 ( IQR 22-75) months, 1 581 (22.9%) patients switched TKI due to resistance ( n=1 055, 15.3%), intolerance ( n=248, 3.6%), pursuit of better efficacy ( n=168, 2.4%), economic or other reasons ( n=110, 1.6%). The frequency of switching TKI in AP patients was significantly-higher than that in CP patients (44.1% vs 21.5%, P<0.001), and more AP patients switched TKI due to resistance than CP patients (75.3% vs 66.1%, P=0.011). Multi-variable analyses showed that male, lower HGB concentration and ELTS intermediate/high-risk cohort were associated with lower cytogenetic and molecular responses rate and poor outcomes in CP patients; higher WBC count and initial the second-generation TKI treatment, the higher response rates; Ph + ACA at diagnosis, poor PFS. However, Sokal intermediate/high-risk cohort was only significantly-associated with lower CCyR and MMR rates and the poor PFS. Lower HGB concentration and larger spleen size were significantly-associated with the lower cytogenetic and molecular response rates in AP patients; initial the second-generation TKI treatment, the higher treatment response rates; lower PLT count, higher blasts and Ph + ACA, poorer TFS; Ph + ACA, poorer OS. Conclusion:At present, the vast majority of newly-diagnosed CML-CP or AP patients could benefit from TKI treatment in the long term with the good treatment responses and survival outcomes.

Wilson's disease (WD) is a kind of inherited metabolic liver disease in which most patients need lifelong medication to maintain copper homeostasis in the body. Zinc is one of the most commonly used drugs for WD treatment. However, there are currently few high-quality, large-sample, and prospective clinical trials on zinc agent-treated WD. The selection and application of zinc agents are mainly based on patients' clinical phenotype, tolerance to zinc agents, and physicians' experience in treating WD. This article summarizes the application of zinc agents in WD.

Objective To establish the method of infrared fingerprint,TLC identification and content determination of phenolic acid components of Yao medicine Calonyction muricatum(Linn)G.Methods The infrared fingerprint of 10 batches of Calonyction muricatum(Linn)G were established by infrared spectroscopy.The spectral datas were analyzed by similarity analysis,infrared spectroscopy(HCA),principal component analysis(PCA)and Partial-least-squares discriminant analysis(PLS-DA).Chlorogenic acid,heterochlorogenic acid A and caffeic acid of Calonyction muricatum(Linn)G were identified by TLC.The contents of neochlorogenic acid,chlorogenic acid,caffeic acid,cryptochlorogenic acid,isochlorogenic acid A and C were determined simultaneously by HPLC method.Results It could be suggested that organic acids,flavonoids and other compounds of Calonyction muricatum(Linn)G by infrared spectroscopy and nine common peaks were calibrated by infrared fingerprint;the similarity evaluation was above 0.999;the results of cluster analysis(CA)and principal component analysis(PCA)showed that it could be clustered into 2 categories,including S1,S2 and S3 were clustered into one categoriy and the rest were one.5 differential components(VIP>1)were selected by Partial-least-squares discriminant analysis;the test and control samples of TLC showed consistent locations the spots were clear,with good separation degree;the six components of Calonyction muricatum(Linn)G showed good linear relationship(r≥0.999 2),average sample recovery rate 97.77%-102.59%,and RSD less than 2.90% .Conclusion The TLC and infrared fingerprint were simple and stable,and the results of the six components were reliable,which can lay a scientific foundation for the quality control of the materials.