Objective To investigate the efficacy of an interpretable integrated learning model combining clinical indicators,CT image features and radiomics features for the differential diagnosis of lung squamous cell carcinoma and adenocarcinoma,so as to provide references for clincal treatment decisions.Methods A retrospective analysis was conducted on clinical and imaging data from 220 patients(231 lesions)with primary non-small cell lung cancer at Jiangjin Central Hospital of Chongqing(Center 1)and 83 patients(84 lesions)at Chongqing General Hospital(Center 2).In Center 1,the squamous cell carcinoma group consisted of 60 patients(60 lesions),while the adenocarcinoma group included 160 patients(171 lesions).In Center 2,the squamous cell carcinoma group comprised 18 patients(18 lesions),and the adenocarcinoma group involved 65 patients(66 lesions).The patients were categorized into squamous cell carcinoma and adenocarcinoma groups based on pathological findings.Center 1 was randomly partitioned into a training set and a validation set at a 7∶3 ratio,while Center 2 served as the independent test set.Firstly,a deep learning model,VB-Net,was used to automatically segment the tumor region on the lung window image;secondly,the SMOTE(synthetic minority oversampling technique)method was used to balance the categories in the training set and standardize the extracted features with Z-scores;thirdly,the least absolute shrinkage and selection operator(LASSO)were used to select the optimal radiomics features and calculate the radiomics score(Radscore),and univariate and multivariate logistic regression was used to screen clinical indicators and independent clinical factors for differentiating lung squamous cell carcinoma and adenocarcinoma in CT image features;finally,three ensemble learning algorithms(AdaBoost,Bagging decision tree and XGBoost)were used to combine independent clinical factors and Radscore to construct the model.The receiver operating characteristic(ROC)curve was used to evaluate the diagnostic performance of the models.SHAP technique was used to analyze the feature contribution and model decision-making process.Results Among the evaluated ensemble models,AdaBoost and Bagging decision trees demonstrated overfitting tendencies.In contrast,the XGBoost model showed the best performance,achieving AUC values of 0.939,0.887 and 0.853 in the training,validation and independent test sets,respectively.SHAP indicated that Radscore was the most important feature affecting the performance of the model.The decision diagram enabled the visualization of the diagnostic process of the model.Conclusion The interpretable integrated learning model based on clinical indicators,CT image and radiomics features is expected to non-invasively diagnose lung squamous cell carcinoma and adenocarcinoma before treatment and assist clinicians make treatment decisions as early as possible.[Chinese Medical Equipment Journal,2025,46(7):12-20]

Objective To investigate the efficacy of an interpretable integrated learning model combining clinical indicators,CT image features and radiomics features for the differential diagnosis of lung squamous cell carcinoma and adenocarcinoma,so as to provide references for clincal treatment decisions.Methods A retrospective analysis was conducted on clinical and imaging data from 220 patients(231 lesions)with primary non-small cell lung cancer at Jiangjin Central Hospital of Chongqing(Center 1)and 83 patients(84 lesions)at Chongqing General Hospital(Center 2).In Center 1,the squamous cell carcinoma group consisted of 60 patients(60 lesions),while the adenocarcinoma group included 160 patients(171 lesions).In Center 2,the squamous cell carcinoma group comprised 18 patients(18 lesions),and the adenocarcinoma group involved 65 patients(66 lesions).The patients were categorized into squamous cell carcinoma and adenocarcinoma groups based on pathological findings.Center 1 was randomly partitioned into a training set and a validation set at a 7∶3 ratio,while Center 2 served as the independent test set.Firstly,a deep learning model,VB-Net,was used to automatically segment the tumor region on the lung window image;secondly,the SMOTE(synthetic minority oversampling technique)method was used to balance the categories in the training set and standardize the extracted features with Z-scores;thirdly,the least absolute shrinkage and selection operator(LASSO)were used to select the optimal radiomics features and calculate the radiomics score(Radscore),and univariate and multivariate logistic regression was used to screen clinical indicators and independent clinical factors for differentiating lung squamous cell carcinoma and adenocarcinoma in CT image features;finally,three ensemble learning algorithms(AdaBoost,Bagging decision tree and XGBoost)were used to combine independent clinical factors and Radscore to construct the model.The receiver operating characteristic(ROC)curve was used to evaluate the diagnostic performance of the models.SHAP technique was used to analyze the feature contribution and model decision-making process.Results Among the evaluated ensemble models,AdaBoost and Bagging decision trees demonstrated overfitting tendencies.In contrast,the XGBoost model showed the best performance,achieving AUC values of 0.939,0.887 and 0.853 in the training,validation and independent test sets,respectively.SHAP indicated that Radscore was the most important feature affecting the performance of the model.The decision diagram enabled the visualization of the diagnostic process of the model.Conclusion The interpretable integrated learning model based on clinical indicators,CT image and radiomics features is expected to non-invasively diagnose lung squamous cell carcinoma and adenocarcinoma before treatment and assist clinicians make treatment decisions as early as possible.[Chinese Medical Equipment Journal,2025,46(7):12-20]

ObjectiveThe detection of RNA single nucleotide polymorphism (SNP) is of great importance due to their association with protein expression related to various diseases and drug responses. At present, splintR ligase-assisted methods are important approaches for RNA direct detection, but its specificity will be limited when the fidelity of ligases is not ideal. The aim of this study was to create a method to improve the specificity of splintR ligase for RNA detection. MethodsIn this study, a dual-competitive-padlock-probe (DCPLP) assay without the need for additional enzymes or reactions is proposed to improve specificity of splintR ligase ligation. To verify the method, we employed dual competitive padlock probe-mediated rolling circle amplification (DCPLP-RCA) to genotype the CYP2C9 gene. ResultsThe specificity was well improved through the competition and strand displacement of dual padlock probe, with an 83.26% reduction in nonspecific signal. By detecting synthetic RNA samples, the method demonstrated a dynamic detection range of 10 pmol/L-1 nmol/L. Furthermore, clinical samples were applied to the method to evaluate its performance, and the genotyping results were consistent with those obtained using the qPCR method. ConclusionThis study has successfully established a highly specific direct RNA SNP detection method, and provided a novel avenue for accurate identification of various types of RNAs.

Bacterial biofilms gave rise to persistent infections and multi-organ failure, thereby posing a serious threat to human health. Biofilms were formed by cross-linking of hydrophobic extracellular polymeric substances (EPS), such as proteins, polysaccharides, and eDNA, which were synthesized by bacteria themselves after adhesion and colonization on biological surfaces. They had the characteristics of dense structure, high adhesiveness and low drug permeability, and had been found in many human organs or tissues, such as the brain, heart, liver, spleen, lungs, kidneys, gastrointestinal tract, and skeleton. By releasing pro-inflammatory bacterial metabolites including endotoxins, exotoxins and interleukin, biofilms stimulated the body’s immune system to secrete inflammatory factors. These factors triggered local inflammation and chronic infections. Those were the key reason for the failure of traditional clinical drug therapy for infectious diseases.In order to cope with the increasingly severe drug-resistant infections, it was urgent to develop new therapeutic strategies for bacterial-biofilm eradication and anti-bacterial infections. Based on the nanoscale structure and biocompatible activity, nanobiomaterials had the advantages of specific targeting, intelligent delivery, high drug loading and low toxicity, which could realize efficient intervention and precise treatment of drug-resistant bacterial biofilms. This paper highlighted multiple strategies of biofilms eradication based on nanobiomaterials. For example, nanobiomaterials combined with EPS degrading enzymes could be used for targeted hydrolysis of bacterial biofilms, and effectively increased the drug enrichment within biofilms. By loading quorum sensing inhibitors, nanotechnology was also an effective strategy for eradicating bacterial biofilms and recovering the infectious symptoms. Nanobiomaterials could intervene the bacterial metabolism and break the bacterial survival homeostasis by blocking the uptake of nutrients. Moreover, energy-driven micro-nano robotics had shown excellent performance in active delivery and biofilm eradication. Micro-nano robots could penetrate physiological barriers by exogenous or endogenous driving modes such as by biological or chemical methods, ultrasound, and magnetic field, and deliver drugs to the infection sites accurately. Achieving this using conventional drugs was difficult. Overall, the paper described the biological properties and drug-resistant molecular mechanisms of bacterial biofilms, and highlighted therapeutic strategies from different perspectives by nanobiomaterials, such as dispersing bacterial mature biofilms, blocking quorum sensing, inhibiting bacterial metabolism, and energy driving penetration. In addition, we presented the key challenges still faced by nanobiomaterials in combating bacterial biofilm infections. Firstly, the dense structure of EPS caused biofilms spatial heterogeneity and metabolic heterogeneity, which created exacting requirements for the design, construction and preparation process of nanobiomaterials. Secondly, biofilm disruption carried the risk of spread and infection the pathogenic bacteria, which might lead to other infections. Finally, we emphasized the role of nanobiomaterials in the development trends and translational prospects in biofilm treatment.

Further evidence is needed to explore the impact of high-altitude environments on the neurologic function of neonates.Non-invasive techniques such as cerebral near-infrared spectroscopy and amplitude-integrated electroencephalography can provide data on cerebral oxygenation and brain electrical activity.This study will conduct multiple cerebral near-infrared spectroscopy and amplitude-integrated electroencephalography monitoring sessions at various time points within the first 3 days postpartum for healthy full-term neonates at different altitudes.The obtained data on cerebral oxygenation and brain electrical activity will be compared between different altitudes,and corresponding reference ranges will be established.The study involves 6 participating centers in the Chinese High Altitude Neonatal Medicine Alliance,with altitude gradients divided into 4 categories:800 m,1 900 m,2 400 m,and 3 500 m,with an anticipated sample size of 170 neonates per altitude gradient.This multicenter prospective cohort study aims to provide evidence supporting the impact of high-altitude environments on early brain function and metabolism in neonates.[Chinese Journal of Contemporary Pediatrics,2024,26(4):403-409]

Objective To explore whether metformin preconditioning can protect brain injury after cardiac arrest/cardiopulmonary resuscitation(CA/CPR)and its possible mechanisms and signaling pathways.Methods Constructed a CA model by using electrical stimulation.Rats were randomly divided into the sham group(0.9％NaCl gavage daily for 14 days,without inducing CA),model group(CA model was induced after 0.9％NaCl gavage daily for 14 days),experimental group(CA model was induced after 200 mg·kg-1 Met+0.9％NaCl gavage daily for 14 days),Cc group[200 mg·kg-1 Met+0.9％NaCl gavage daily for 14 days,adenosine 5'-monophosphate kinase-activated protein(AMPK)inhibitor Compoud C(Cc)was injected intraperitoneally at 1 hour before modeling],chloroquine(CQ)group(daily 200 mg·kg-1 Met+0.9％NaCl gavage for 14 days,intraperitoneal injection of autophagy inhibitor CQ at 1 hour before modeling)and AICAR group(continuous daily 200 mg·kg-1 Met+0.9％NaCl gavage for 14 days,intraperitoneal injection of AMPK agonist AICAR at 1 hour before modeling).The 7-day survival rate after CA/CPR via using survival curves was recorded;the neurological function 7-days after CA/CPR was scored by using the neurological disability scale;the protein malondialdehyde(MDA)level were measured using the Coomassie Brilliant Blue method;detection of reactive oxygen species(ROS)levels in brain tissue by using ROS fluorescent probe DHE;Western blotting was used to determine the expression levels of related proteins such as AMPK,p-AMPK,microtubule associated protein 1 light chain 3 Ⅰ(LC3 Ⅰ),LC3 Ⅱ,and p62 in brain tissue.Results The 7-day survival rates of sham,model,experimental,Cc,CQ and AICAR groups rats were 100％,40％,70％,40％,40％and 65％,respectively;the 7-day neurological function scores were 78.35±1.65,46.50±4.41,67.93±4.64,49.50±3.53,52.00±2.83 and 68.33±1.53,respectively;the ROS levels were(417.60±8.37),(748.60±36.05),(575.80±10.73),(713.80±18.85),(668.20±9.58)and(566.00±24.48)U·mg-1,respectively;the MDA levels were(4.38±0.33),(8.06±0.76),(5.50±0.48),(7.18±0.29),(6.82±0.31)and(5.20±0.34)nmol·mg-1,respectively;the brain tissue p-AMPK/AMPK were 0.74±0.04,0.87±0.01,1.61±0.01,0.55±0.05,1.09±0.09 and 1.27±0.07,respectively;the p62 values were 0.42±0.02,0.86±0.05,0.61±0.04,0.98±0.04 and 0.78±0.03,respectively;the LC3 Ⅱ/LC3 1 were 0.29±0.32,0.37±0.26,0.96±0.78,0.58±0.26,0.43±0.03 and 1.40±0.10,respectively.Compared with the model group,the differences of above indexes in the experimental group,AICAR group were statistically significant(all P＜0.05);compared with the experimental group,the differences of above indexes in the Cc group,CQ group were statistically significant(all P＜0.05).Conclusion Metformin preconditioning can play a protective role in brain injury after cardiac arrest/cardiopulmonary resuscitationin in rats by activating the AMPK signaling pathway,regulating mitochondrial energy metabolism and promoting autophagy.

ObjectiveTo investigate the perioperative safety and complications of radical cystectomy （RC）. MethodsThe clinicopathological indexes， postoperative complications and prognosis of patients who underwent RC at Sun Yat-sen University Cancer Centre from January 2001 to August 2020 were retrospectively collected and analyzed. Among them， patients from 2011 to 2020 were further analyzed and compared according to the open surgery group （ORC）， laparoscopic group （LRC） and robot-assisted laparoscopic group （RARC）. Independent sample t test， Chi-square test， K-M survival curve and other statistical methods were used to describe the complications and prognosis of patients， and Logistic regression was used to analyze the influencing factors of complications of RC. ResultsAmong the 1041 patients who underwent RC surgery from 2001 to 2020， the median age was 63 （55-69） years. In terms of the gender ratio， men were the majority at 86 percent. Compared with that of the first 10 years， the complication rate of the second 10 years decreased significantly （37.4% vs. 26.7%）. Complications of 667 patients who underwent RC surgery were analyzed from 2010 to 2020， with a median follow-up of 34 months. A total of 415 patients were enrolled in the ORC group， 161 in the LRC group， and 91 in the RARC group. Ileal conduit （659 cases， 63.3%） accounted for the highest proportion of all urinary diversion methods， while orthotopic neobladder accounted for the second （343 cases， 32.9%）. The incidence of all grade complications was 30.5%， and the most common complication was urinary complications. The incidence of total complications and grade ≥3 complications in the ORC group was higher than that in the LRC and RARC groups （Total complications： ORC， 30.8%； LRC，21.1%， RARC，24.2%； P=0.047； Grade ≥3 complications： ORC， 14.7%； LRC，9.3%； RARC，6.6%； P=0.043）. ConclusionsWith the improvement of surgical techniques and experience， the incidence of recent postoperative complications after radical resection of bladder cancer in our center has decreased. Compared with open surgery， minimally invasive surgery has some advantages in reducing the complication rate.

Objective: To evaluate the long-term outcomes, failure patterns and prognostic factors of definitive radiotherapy in patients with cervical esophageal carcinoma (CEC). Methods: We retrospectively reviewed the clinical data of 148 CEC patients who treated with definitive radiotherapy in Cancer Hospital of Chinese Academy of Medical Sciences from January 2001 to December 2017. The median radiation dose was 66 Gy (59.4-70 Gy) and 33.1% of patients received concurrent chemotherapy. The Kaplan-Meier method was used to calculate survival rates. The log rank test was used for survival comparison and univariate prognostic analysis. The Cox model was used for multivariate prognostic analysis. Results: The median follow-up time was 102.6 months. The median survival time, 2- and 5-year overall survival (OS) were 22.7 months, 49.9% and 28.3%. The median, 2- and 5-year progression-free survival were 12.6 months, 35.8% and 25.8%. The 2- and 5-year locoregional recurrence-free survival were 59.1% and 50.8%. The 2- and 5-year distant metastases-free survival were 74.6% and 65.9%. Multivariate analysis showed that EQD(2)>66 Gy was the only independent prognostic indicator for OS (P=0.040). The median survival time and 5-year OS rate significantly improved in patients who received EQD(2)>66 Gy than those who received≤66 Gy (31.2 months vs. 19.2 months, 40.1% vs. 19.1%, P=0.027). A total of 87 patients (58.8%) developed tumor progression. There were 50 (33.8%), 23 (15.5%) and 39 (26.4%) patients developed local, regional recurrence and distant metastases, respectively. Eleven patients (7.4%) underwent salvage surgery, and the laryngeal preservation rate for entire group was 93.9%. Conclusions: Definitive radiotherapy is an effective treatment for cervical esophageal carcinoma with the advantage of larynx preservation. Local recurrence is the major failure pattern. EQD(2)>66 Gy is associated with the improved overall survival.
Humans ; Retrospective Studies ; Esophageal Neoplasms/pathology* ; Carcinoma/drug therapy* ; Prognosis ; Treatment Outcome ; Chemoradiotherapy/methods* ; Radiotherapy Dosage

The origins of 9 species of the Chinese medicinal materials in the 2015 edition of the Chinese pharmacopoeia(ChP) has revised in the 2020 edition of ChP. The revision is based on the investigation and textual research on the problems found after screening the original plants, animals or minerals of all the Chinese medicinal materials in the 2015 edition. Among them the Chinese names of Alismatis Rhizoma, Cassiae Semen, Coicis Semen, Corydalis Bungeanae Herba and Echinopsis Radix all do not match to the Latin scientific names, and also do not match the name of the actual medicinal origins. In addition, Alismatis Rhizoma has the omission of original plant. There is confusion about the Chinese name and the family name of the original insect of Cera Chinensis. The original mineral of Gypsum Fibrosum has the wrong group names. Alumstone and melanterite, the original mineral of Alumen and Melanteritum respectively, of which the group names are missing. To solve these problems, field survey and literature research were conducted on the medicinal materials and their origins. The source of these problems are explored. The correct origins and the Chinese names or Latin names are all determined according to the research results to the situation, in which the Chinese and Latin names of the original plants of the medicinal materials do not match. The correct family name and group name are obtained through textual research by taxonomy if the names are confused or mis-sing. The scientific evidence and correct results of revision in the 2020 edition of ChP are determined at last.
Animals ; China ; Coix ; Drugs, Chinese Herbal ; Medicine, Chinese Traditional ; Rhizome

China ; Humans ; Otolaryngology