ObjectiveThis study aimed to evaluate the effects of cycloastragenol （CAG） on mitochondrial dysfunction during cardiac remodeling and to elucidate its regulatory role in myocardial energy metabolic homeostasis and the associated transcriptional regulatory axis. MethodsA rat model of heart failure （HF） was established by ligation of the left anterior descending coronary artery. Rats were randomly divided into a control group， a model group， a captopril group （3.25 mg·kg^-1）， a low-dose CAG group （10 mg·kg^-1， CAG-L）， and a high-dose CAG group （20 mg·kg^-1， CAG-H）. After 28 days of treatment， left ventricular ejection fraction （LVEF）， left ventricular fractional shortening （LVFS）， left ventricular end-diastolic diameter （LVIDd）， and left ventricular end-systolic diameter （LVIDs） were assessed by echocardiography. Serum levels of N-terminal pro-brain natriuretic peptide （NT-proBNP）， creatine kinase-MB （CK-MB）， cardiac troponinⅠ （cTnI）， interleukin-1β （IL-1β）， interleukin-6 （IL-6）， tumor necrosis factor-α （TNF-α）， and cyclic adenosine monophosphate （cAMP） were measured by enzyme-linked immunosorbent assay （ELISA）. Hematoxylin-eosin （HE） and Masson's trichrome staining were used to evaluate myocardial histopathology and fibrosis. Wheat germ agglutinin （WGA）， reactive oxygen species （ROS）， and terminal deoxynucleotidyl transferase-mediated dUTP nick-end labeling （TUNEL） staining were performed to assess cardiomyocyte hypertrophy， oxidative stress， and apoptosis. Adenosine triphosphate （ATP） content and the activities of mitochondrial respiratory chain complexes Ⅰ-Ⅳ were determined by colorimetric assays. The mRNA expression of α-smooth muscle actin （α-SMA）， Col Ⅰ， and Col Ⅲ was detected by Real-time quantitative polymerase chain reaction （Real-time PCR）， while the protein levels of β₂-adrenergic receptor （ADRB2）， protein kinase A （PKA）， phosphorylated cAMP response element-binding protein/total cAMP response element-binding protein （p-CREB/CREB）， peroxisome proliferator-activated receptor γ coactivator-1α （PGC-1α）， nuclear respiratory factor 1 （NRF1）， and mitochondrial transcription factor A （TFAM） were analyzed by Western blot. ResultsCompared with the control group， the model group exhibited significantly decreased LVEF， LVFS， and ATP levels （P<0.05）， and markedly increased LVIDd， LVIDs， NT-proBNP， CK-MB， cTnI， IL-1β， IL-6， TNF-α， ROS levels， TUNEL-positive rate， Col deposition area， and the mRNA expression of α-SMA， Col Ⅰ， and Col Ⅲ （P<0.05）. In addition， the activities of mitochondrial respiratory chain complexes Ⅰ-Ⅳ， the protein expression of ADRB2， PKA， p-CREB， PGC-1α， NRF1， and TFAM， as well as the cAMP content， were significantly reduced （P<0.05）. Compared with the model group， both low- and high-dose CAG significantly increased LVEF and LVFS， and decreased LVIDd， LVIDs， and the levels of NT-proBNP， CK-MB， and cTnI （P<0.05）. CAG treatment alleviated myocardial disarray and Collagen deposition， and downregulated the mRNA expression of α-SMA， Col Ⅰ， and Col Ⅲ. The treatment markedly reduced ROS generation and the TUNEL-positive rate （P<0.05）， thereby attenuating cardiomyocyte hypertrophy and inflammatory responses. Furthermore， CAG treatment increased ATP content and the activities of mitochondrial respiratory chain complexes Ⅰ-Ⅳ， accompanied by upregulation of PGC-1α， NRF1， TFAM， ADRB2， PKA， and p-CREB protein expression as well as cAMP levels （P<0.05）. The CAG-H group showed the most pronounced improvements， which were superior to those of the captopril group and the CAG-L group. ConclusionCycloastragenol delays adverse cardiac remodeling and improves cardiac function by activating the ADRB2-mediated GPCR/cAMP/PKA/CREB signaling pathway， enhancing the PGC-1α/NRF1/TFAM activity， promoting mitochondrial energy metabolism remodeling， and suppressing oxidative stress， inflammation， and myocardial fibrosis.

ObjectiveThis study aimed to evaluate the effects of cycloastragenol （CAG） on mitochondrial dysfunction during cardiac remodeling and to elucidate its regulatory role in myocardial energy metabolic homeostasis and the associated transcriptional regulatory axis. MethodsA rat model of heart failure （HF） was established by ligation of the left anterior descending coronary artery. Rats were randomly divided into a control group， a model group， a captopril group （3.25 mg·kg^-1）， a low-dose CAG group （10 mg·kg^-1， CAG-L）， and a high-dose CAG group （20 mg·kg^-1， CAG-H）. After 28 days of treatment， left ventricular ejection fraction （LVEF）， left ventricular fractional shortening （LVFS）， left ventricular end-diastolic diameter （LVIDd）， and left ventricular end-systolic diameter （LVIDs） were assessed by echocardiography. Serum levels of N-terminal pro-brain natriuretic peptide （NT-proBNP）， creatine kinase-MB （CK-MB）， cardiac troponinⅠ （cTnI）， interleukin-1β （IL-1β）， interleukin-6 （IL-6）， tumor necrosis factor-α （TNF-α）， and cyclic adenosine monophosphate （cAMP） were measured by enzyme-linked immunosorbent assay （ELISA）. Hematoxylin-eosin （HE） and Masson's trichrome staining were used to evaluate myocardial histopathology and fibrosis. Wheat germ agglutinin （WGA）， reactive oxygen species （ROS）， and terminal deoxynucleotidyl transferase-mediated dUTP nick-end labeling （TUNEL） staining were performed to assess cardiomyocyte hypertrophy， oxidative stress， and apoptosis. Adenosine triphosphate （ATP） content and the activities of mitochondrial respiratory chain complexes Ⅰ-Ⅳ were determined by colorimetric assays. The mRNA expression of α-smooth muscle actin （α-SMA）， Col Ⅰ， and Col Ⅲ was detected by Real-time quantitative polymerase chain reaction （Real-time PCR）， while the protein levels of β₂-adrenergic receptor （ADRB2）， protein kinase A （PKA）， phosphorylated cAMP response element-binding protein/total cAMP response element-binding protein （p-CREB/CREB）， peroxisome proliferator-activated receptor γ coactivator-1α （PGC-1α）， nuclear respiratory factor 1 （NRF1）， and mitochondrial transcription factor A （TFAM） were analyzed by Western blot. ResultsCompared with the control group， the model group exhibited significantly decreased LVEF， LVFS， and ATP levels （P<0.05）， and markedly increased LVIDd， LVIDs， NT-proBNP， CK-MB， cTnI， IL-1β， IL-6， TNF-α， ROS levels， TUNEL-positive rate， Col deposition area， and the mRNA expression of α-SMA， Col Ⅰ， and Col Ⅲ （P<0.05）. In addition， the activities of mitochondrial respiratory chain complexes Ⅰ-Ⅳ， the protein expression of ADRB2， PKA， p-CREB， PGC-1α， NRF1， and TFAM， as well as the cAMP content， were significantly reduced （P<0.05）. Compared with the model group， both low- and high-dose CAG significantly increased LVEF and LVFS， and decreased LVIDd， LVIDs， and the levels of NT-proBNP， CK-MB， and cTnI （P<0.05）. CAG treatment alleviated myocardial disarray and Collagen deposition， and downregulated the mRNA expression of α-SMA， Col Ⅰ， and Col Ⅲ. The treatment markedly reduced ROS generation and the TUNEL-positive rate （P<0.05）， thereby attenuating cardiomyocyte hypertrophy and inflammatory responses. Furthermore， CAG treatment increased ATP content and the activities of mitochondrial respiratory chain complexes Ⅰ-Ⅳ， accompanied by upregulation of PGC-1α， NRF1， TFAM， ADRB2， PKA， and p-CREB protein expression as well as cAMP levels （P<0.05）. The CAG-H group showed the most pronounced improvements， which were superior to those of the captopril group and the CAG-L group. ConclusionCycloastragenol delays adverse cardiac remodeling and improves cardiac function by activating the ADRB2-mediated GPCR/cAMP/PKA/CREB signaling pathway， enhancing the PGC-1α/NRF1/TFAM activity， promoting mitochondrial energy metabolism remodeling， and suppressing oxidative stress， inflammation， and myocardial fibrosis.

Metastasis serves as an indicator of malignancy and is a biological characteristic of carcinomas. Epithelial-mesenchymal transition (EMT) plays a key role in the promotion of tumor invasion and metastasis and in the enhancement of tumor cell aggressiveness. Prostaglandin E synthase 3 (p23) is a cochaperone for heat shock protein 90 (HSP90). Our previous study showed that p23 is an HSP90-independent transcription factor in cancer-associated inflammation. The effect and mechanism of action of p23 on lung cancer metastasis are tested in this study. By utilizing cell models in vitro and mouse tail vein metastasis models in vivo, the results provide solid evidence that p23 is critical for promoting lung cancer metastases by regulating downstream CXCL1 expression. Rather than acting independently, p23 forms a complex with RNA-binding motif protein 14 (RBM14) to facilitate EMT progression in lung cancer. Therefore, our study provides evidence for the potential role of the RBM14-p23-CXCL1-EMT axis in the metastasis of lung cancer.

Objective:To explore the value of the deep learning model based on gadolinium ethoxybenzyl diethylenetriamine pentaacetic acid (Gd-EOB-DTPA) enhanced MRI in preoperatively predicting vessels completely encapsulating tumor clusters (VETC) in hepatocellular carcinoma (HCC).Methods:This study adopted a case-control design to retrospectively analyze 420 patients with HCC confirmed by postoperative pathology who underwent Gd-EOB-DTPA enhanced MRI between June 2016 and March 2023. A total of 420 patients were divided into a training set ( n=305) from the First Affiliated Hospital of Soochow University and an external validation set ( n=115) from Affiliated Nantong Hospital 3 of Nantong University. Based on postoperative pathological findings, patients were stratified into VETC-positive and VETC-negative groups. The training set comprised 161 VETC-positive cases and 144 VETC-negative cases, while the external validation set included 55 VETC-positive cases and 60 VETC-negative cases. Tumor regions of interest in arterial, portal venous, and hepatobiliary phases were manually delineated using ITK-SNAP software. Pre-trained Vgg19, Densenet121, and Vision Transformer (ViT) models were employed for transfer learning, extracting deep learning features from each image. Feature data were processed using FAE software, and 12 logistic regression models (arterial phase, portal venous phase, hepatobiliary phase, and combined three-phase models) were constructed to select the optimal deep learning model. Independent predictors in clinical characteristics were identified through univariate and multivariate logistic analyses to establish a clinical model for predicting VETC pattern. Subsequently, a clinical-deep learning fusion model was developed by integrating these clinical predictors with the optimal deep learning features. Model performance in predicting VETC-positive HCC was evaluated using receiver operating characteristic curves, calibration curves, and decision curve analysis (DCA). Results:In the external validation set, the area under the curve (AUC) of the Vgg19 model in the arterial phase, portal venous phase, hepatobiliary phase, and combined three-phase, respectively were 0.799,0.756,0.789,0.821, which were higher than those of Densenet121 (AUC: 0.544,0.581,0.544,0.583) and ViT (AUC: 0.740,0.752,0.785,0.767) model. The three-phase combined Vgg19 model achieved the highest AUC of 0.821 (95% CI 0.746-0.897). Multivariate logistic regression identified alpha-fetoprotein level ( OR=1.826,95% CI 1.069-3.120, P=0.028) and tumor diameter ( OR=1.329,95% CI 1.206-1.466, P<0.001) as independent predictors of VETC-positive HCC, forming the clinical model with an AUC of 0.789 (95% CI 0.703-0.859). The clinical-deep learning fusion model further achieved the AUC of 0.825 (95% CI 0.749-0.900). Calibration curves confirmed high concordance between predicted and actual probabilities for the three-phase Vgg19 model, while DCA revealed greater net clinical benefit for the combined Vgg19 and fusion models compared with the clinical model alone. Conclusions:The deep learning model based on Gd-EOB-DTPA enhanced MRI can be used to predict VETC of HCC preoperatively, among which the three-phase combined Vgg19 model and the clinical-deep learning model provide high predictive value.

Objective:To analyze the current status of red blood cell transfusion in very preterm infants (VPI) (gestational age at birth <32 weeks) from Chinese Neonatal Network (CHNN) in 2022.Methods:This cross-sectional study was based on the CHNN VPI cohort. It included 6 985 VPI admitted to CHNN 89 participating centers within 24 hours after birth in 2022. VPI with major congenital anomalies or those transferred to non-CHNN centers for treatment or discharged against medical advice were excluded. VPI were categorized based on whether they received red blood cell transfusions, their gestational age at birth, the type of respiratory support received during transfusion, and whether the pre-transfusion hemoglobin levels exceeded the thresholds. General characteristics, red blood cell transfusion rates, number of transfusions, timing of the first transfusion, and pre-transfusion hemoglobin levels were compared among different groups. The incidence of adverse outcomes between the group of VPI who received transfusions above the threshold and those who received transfusions below the threshold were compared. Comparison among different groups was conducted using χ2 tests, Kruskal-Wallis H tests, Mann-Whitney U test, and so on. Trends by gestational age at birth were evaluated by Cochran-Armitage tests and Jonckheere-Terpstra tests for trend. Results:Among the 6 985 VPI, 3 865 cases(55.3%) were male, with a gestational age at birth of 30.0 (28.6, 31.0) weeks and a birth weight of (1 302±321) g. Overall, 3 617 cases (51.8%) received red blood cell transfusion, while 3 368 cases (48.2%) did not. The red blood cell transfusion rate was 51.8% (3 617/6 985), with rates of 77.7% (893/1 150) for those born before 28 weeks gestational age and 46.7% (2 724/5 835) for those born between 28 and 31 weeks gestational age. A total of 9 616 times red blood cell transfusions were administered to 3 617 VPI, with 632 times missing pre-transfusion hemoglobin data, and 8 984 times included in the analysis. Of the red blood cell transfusions, 25.6% (2 459/9 616) were administered when invasive respiratory support was required, 51.3% (4 934/9 616) were receiving non-invasive respiratory support, while 23.1% (2 223/9, 616) were given when no respiratory support was needed. Compared to the non-transfusion group, the red blood cell transfusion group had a higher rate of pregnancy-induced hypertension in mothers, lower rates of born via cesarean section and mother′s antenatal steroid administration, smaller gestational age, lower birth weight, a higher proportion of small-for-gestational-age, multiple births, and proportions of Apgar score at the 5 th minute after birth ≤3 (all P<0.05). They were also less likely to be female, born in hospital or undergo delayed cord clamping (all P<0.01). Additionally, higher transport risk index of physiologic stability score at admission were observed in the red blood cell transfusion group ( P<0.001). The number of red blood cell transfusion was 2 (1, 3) times, with the first transfusion occurring at an age of 18 (8, 29) days, and a pre-transfusion hemoglobin level of 97 (86, 109) g/L. For VPI ≤7 days of age, the pre-transfusion hemoglobin levels for invasive respiratory support, non-invasive respiratory support, or no respiratory support, respectively, with no statistically significant differences between groups ( H=5.59, P=0.061). For VPI aged 8 to 21 days and≥22 days, the levels with statistically differences between groups (both P<0.01). Red blood cell transfusions above recommended thresholds were observed in all respiratory support categories at different stages of life, with the highest prevalence in infants aged 8 to 21 days and≥22 days who did not require respiratory support, at 90.1% (264/273) and 91.1%(1 578/1 732), respectively. The rate of necrotizing enterocolitis was higher in the above-threshold group ( χ2=10.59, P=0.001), and the duration of hospital stay was longer in the above-threshold group ( Z=4.67, P<0.001) compared to the below-threshold group. Conclusions:In 2022, the red blood cell transfusion rate was relatively high among VPI from CHNN. Pre-transfusion hemoglobin levels frequently exceeded recommended transfusion thresholds.

Objective:To investigate the value of habitat radiomic features based on gadolinium ethoxybenzyl diethylenetriamine pentaacetic acid (Gd-EOB-DTPA)-enhanced MRI in establishing a predictive model for cytokeratin 19 (CK19) expression in hepatocellular carcinoma (HCC) and to evaluate its role in prognostic risk stratification.Methods:This multicenter case-control study retrospectively enrolled 489 patients with pathologically confirmed HCC who underwent Gd-EOB-DTPA-enhanced MRI between June 2016 and June 2024. Among them, 346 patients from the First Affiliated Hospital of Soochow University were divided into a training cohort ( n=245) and an internal test cohort ( n=101) via stratified sampling at a 7∶3 ratio. And 143 patients from Nantong Third Hospital Affiliated to Nantong University served as an external validation cohort. The training cohort included 53 CK19-positive and 192 CK19-negative patients. The internal test cohort included 21 CK19-positive and 80 CK19-negative patients. The external validation cohort included 30 CK19-positive and 113 CK19-negative patients. Univariate logistic regression analysis was performed to identify potential factors associated with CK19 expression, and a clinical-radiologic model was constructed. The k-means clustering algorithm was applied to segment target HCC lesions into 3 subregions. Radiomic features were extracted and selected from these habitat subregions. Habitat radiomics models were constructed for the arterial phase (AP), portal venous phase, hepatobiliary phase (HBP), and combined phases (CP). Multivariate logistic regression analysis identified independent clinical and radiologic predictors of CK19 expression, and the optimal habitat model score was integrated to build a clinical-radiologic-habitat combined model. The area under the receiver operating characteristic curve (AUC) was used to evaluate model predictive performance. Recurrence-free survival (RFS) was analyzed using the Kaplan-Meier method and the differences in survival curves were compared with the log-rank test. Results:Univariate logistic regression analysis revealed that alpha-fetoprotein (AFP) ( OR=2.629, 95% CI 1.412-4.896, P=0.002), AP enhancement ( OR=3.636, 95% CI 1.642-8.052, P=0.001), AP peritumoral enhancement ( OR=2.219, 95% CI 1.084-4.542, P=0.029), and HBP peritumoral hypointensity ( OR=2.010, 95% CI 1.004-4.021, P=0.049) were potential factors associated with CK19 expression, which were incorporated into the clinical-radiologic model. In the internal and external validation cohorts, the AUC of the clinical-radiologic model was 0.690 (95% CI 0.590-0.778) and 0.650 (95% CI 0.565-0.727), respectively. The habitat radiomics model based on CP images demonstrated the highest performance. It achieved AUC of 0.729 (95% CI 0.622-0.836) and 0.725 (95% CI 0.607-0.842) in the internal and external validation cohorts, respectively. Multivariate analysis identified AFP ( OR=2.494, 95% CI 1.163-5.348, P=0.019), AP enhancement ( OR=5.230, 95% CI 1.868-14.643, P=0.002) and habitat radiomics model score ( OR=4.105, 95% CI 2.643-6.368, P<0.001) as independent predictors of CK19 positivity. Based on these factors, a combined clinical-radiologic-habitat combined model was established. The clinical-radiologic-habitat combined model achieved AUCs of 0.767 (95% CI 0.671-0.846) and 0.730 (95% CI 0.649-0.801) in the internal and external validation cohorts, respectively. Significant differences in RFS were observed between the CK19-positive group (25.1 month) and CK19-negative group (51.0 month) as predicted by the clinical-radiologic-habitat model ( χ2=4.17, P=0.041). Conclusion:The clinical-radiologic-habitat combined model based on Gd-EOB-DTPA-enhanced MRI habitat radiomics demonstrates good predictive performance for CK19 expression in HCC and offers valuable prognostic stratification for clinical practice.

Objective:To explore the value of the deep learning model based on gadolinium ethoxybenzyl diethylenetriamine pentaacetic acid (Gd-EOB-DTPA) enhanced MRI in preoperatively predicting vessels completely encapsulating tumor clusters (VETC) in hepatocellular carcinoma (HCC).Methods:This study adopted a case-control design to retrospectively analyze 420 patients with HCC confirmed by postoperative pathology who underwent Gd-EOB-DTPA enhanced MRI between June 2016 and March 2023. A total of 420 patients were divided into a training set ( n=305) from the First Affiliated Hospital of Soochow University and an external validation set ( n=115) from Affiliated Nantong Hospital 3 of Nantong University. Based on postoperative pathological findings, patients were stratified into VETC-positive and VETC-negative groups. The training set comprised 161 VETC-positive cases and 144 VETC-negative cases, while the external validation set included 55 VETC-positive cases and 60 VETC-negative cases. Tumor regions of interest in arterial, portal venous, and hepatobiliary phases were manually delineated using ITK-SNAP software. Pre-trained Vgg19, Densenet121, and Vision Transformer (ViT) models were employed for transfer learning, extracting deep learning features from each image. Feature data were processed using FAE software, and 12 logistic regression models (arterial phase, portal venous phase, hepatobiliary phase, and combined three-phase models) were constructed to select the optimal deep learning model. Independent predictors in clinical characteristics were identified through univariate and multivariate logistic analyses to establish a clinical model for predicting VETC pattern. Subsequently, a clinical-deep learning fusion model was developed by integrating these clinical predictors with the optimal deep learning features. Model performance in predicting VETC-positive HCC was evaluated using receiver operating characteristic curves, calibration curves, and decision curve analysis (DCA). Results:In the external validation set, the area under the curve (AUC) of the Vgg19 model in the arterial phase, portal venous phase, hepatobiliary phase, and combined three-phase, respectively were 0.799,0.756,0.789,0.821, which were higher than those of Densenet121 (AUC: 0.544,0.581,0.544,0.583) and ViT (AUC: 0.740,0.752,0.785,0.767) model. The three-phase combined Vgg19 model achieved the highest AUC of 0.821 (95% CI 0.746-0.897). Multivariate logistic regression identified alpha-fetoprotein level ( OR=1.826,95% CI 1.069-3.120, P=0.028) and tumor diameter ( OR=1.329,95% CI 1.206-1.466, P<0.001) as independent predictors of VETC-positive HCC, forming the clinical model with an AUC of 0.789 (95% CI 0.703-0.859). The clinical-deep learning fusion model further achieved the AUC of 0.825 (95% CI 0.749-0.900). Calibration curves confirmed high concordance between predicted and actual probabilities for the three-phase Vgg19 model, while DCA revealed greater net clinical benefit for the combined Vgg19 and fusion models compared with the clinical model alone. Conclusions:The deep learning model based on Gd-EOB-DTPA enhanced MRI can be used to predict VETC of HCC preoperatively, among which the three-phase combined Vgg19 model and the clinical-deep learning model provide high predictive value.

Objective:To compare the clinical efficacy of autologous bone grafting or bioceramic bone grafting combined with locking compression plate (LCP) internal fixation in the treatment of Schatzker type II and III tibial plateau fractures.Methods:A retrospective analysis was conducted on 104 patients with Schatzker type II and III tibial plateau fractures who underwent surgical treatment at the Department of Orthopedics, PLA Central Theater Command General Hospital from January 2010 to December 2021. The cohort comprised 55 males and 49 females, with an average age of 49.13±13.80 years (range 18-73 years). All fractures were unilateral: 55 on the left and 49 on the right. According to the Schatzker classification, 59 were Type II and 45 were Type III. Causes of injury included traffic accidents (48 cases), falls from height (3 cases), sprains or falls (45 cases), and other causes (8 cases). During surgery, bioceramic material or allograft bone tissue was implanted into the collapsed tibial plateau region to restore articular surface flatness. Based on graft type, patients were divided into the allograft bone group (63 cases) and the bioceramic group (41 cases). All cases underwent proximal lateral tibial LCP internal fixation. The two groups were compared in terms of operative time, intraoperative blood loss, bone graft volume, length of hospital stay, fracture healing time, and postoperative complications. The Rasmussen radiographic collapse score was used to evaluate fracture reduction, and the Hospital for Special Surgery (HSS) score system was used to assess knee joint function.Results:All patients were followed up for 12(12, 13) months (range 12-16 months). The fracture healing time in the allograft bone group was 13.70±1.36 weeks (range 11-16 weeks), which was significantly shorter than that in the bioceramic group: 14.59±1.73 weeks (range 11-19 weeks) ( t=2.911, P=0.004). The time to full weight-bearing in the allograft group was 15.0(14.0, 17.0) weeks (range 13-23 weeks), which was shorter than the 16.0 (15.5, 18.5) weeks (range 12-24 weeks) in the bioceramic group, showing a statistically significant difference ( Z=-3.019, P=0.002). At 12 months postoperatively, the Rasmussen radiographic collapse score was 1(0, 1) in the bioceramic group, significantly lower than the 1(1, 2) score in the allograft group ( Z=-2.083, P=0.037). No statistically significant differences were observed between the two groups in bone graft volume, surgical duration, intraoperative blood loss, hospitalization duration, or HSS scores at 6 and 12 months postoperatively ( P>0.05). The complication rate was 6.3% (4/63) in the allograft group and 2.4% (1/41) in the bioceramic group, with no statistically significant difference (χ 2=0.830, P=0.362). Conclusions:For Schatzker type II and III tibial plateau fractures, the use of allograft bone or bioceramic combined with LCP internal fixation can achieve good results. Allograft bone has advantages in terms of fracture healing speed and early weight-bearing recovery, while bioceramic is more effective in maintaining joint surface stability.

Objective:To investigate the value of habitat radiomic features based on gadolinium ethoxybenzyl diethylenetriamine pentaacetic acid (Gd-EOB-DTPA)-enhanced MRI in establishing a predictive model for cytokeratin 19 (CK19) expression in hepatocellular carcinoma (HCC) and to evaluate its role in prognostic risk stratification.Methods:This multicenter case-control study retrospectively enrolled 489 patients with pathologically confirmed HCC who underwent Gd-EOB-DTPA-enhanced MRI between June 2016 and June 2024. Among them, 346 patients from the First Affiliated Hospital of Soochow University were divided into a training cohort ( n=245) and an internal test cohort ( n=101) via stratified sampling at a 7∶3 ratio. And 143 patients from Nantong Third Hospital Affiliated to Nantong University served as an external validation cohort. The training cohort included 53 CK19-positive and 192 CK19-negative patients. The internal test cohort included 21 CK19-positive and 80 CK19-negative patients. The external validation cohort included 30 CK19-positive and 113 CK19-negative patients. Univariate logistic regression analysis was performed to identify potential factors associated with CK19 expression, and a clinical-radiologic model was constructed. The k-means clustering algorithm was applied to segment target HCC lesions into 3 subregions. Radiomic features were extracted and selected from these habitat subregions. Habitat radiomics models were constructed for the arterial phase (AP), portal venous phase, hepatobiliary phase (HBP), and combined phases (CP). Multivariate logistic regression analysis identified independent clinical and radiologic predictors of CK19 expression, and the optimal habitat model score was integrated to build a clinical-radiologic-habitat combined model. The area under the receiver operating characteristic curve (AUC) was used to evaluate model predictive performance. Recurrence-free survival (RFS) was analyzed using the Kaplan-Meier method and the differences in survival curves were compared with the log-rank test. Results:Univariate logistic regression analysis revealed that alpha-fetoprotein (AFP) ( OR=2.629, 95% CI 1.412-4.896, P=0.002), AP enhancement ( OR=3.636, 95% CI 1.642-8.052, P=0.001), AP peritumoral enhancement ( OR=2.219, 95% CI 1.084-4.542, P=0.029), and HBP peritumoral hypointensity ( OR=2.010, 95% CI 1.004-4.021, P=0.049) were potential factors associated with CK19 expression, which were incorporated into the clinical-radiologic model. In the internal and external validation cohorts, the AUC of the clinical-radiologic model was 0.690 (95% CI 0.590-0.778) and 0.650 (95% CI 0.565-0.727), respectively. The habitat radiomics model based on CP images demonstrated the highest performance. It achieved AUC of 0.729 (95% CI 0.622-0.836) and 0.725 (95% CI 0.607-0.842) in the internal and external validation cohorts, respectively. Multivariate analysis identified AFP ( OR=2.494, 95% CI 1.163-5.348, P=0.019), AP enhancement ( OR=5.230, 95% CI 1.868-14.643, P=0.002) and habitat radiomics model score ( OR=4.105, 95% CI 2.643-6.368, P<0.001) as independent predictors of CK19 positivity. Based on these factors, a combined clinical-radiologic-habitat combined model was established. The clinical-radiologic-habitat combined model achieved AUCs of 0.767 (95% CI 0.671-0.846) and 0.730 (95% CI 0.649-0.801) in the internal and external validation cohorts, respectively. Significant differences in RFS were observed between the CK19-positive group (25.1 month) and CK19-negative group (51.0 month) as predicted by the clinical-radiologic-habitat model ( χ2=4.17, P=0.041). Conclusion:The clinical-radiologic-habitat combined model based on Gd-EOB-DTPA-enhanced MRI habitat radiomics demonstrates good predictive performance for CK19 expression in HCC and offers valuable prognostic stratification for clinical practice.

Objective To examine the diagnosis and treatment of disseminated infection caused by Enterocytozoon bieneusi in a child with leukemia and improve the awareness of the pathogen in clinical and laboratory practice.Methods A case of disseminated infection caused by Enterocytozoon bieneusi in a child with leukemia in Shanghai Children's Hospital was retrospectively analyzed,including diagnosis and treatment details.Similar cases were identified from PubMed,Wanfang Data,VIP,and CNKI databases since database establishment until June 30,2024,using search terms"Enterocytozoon bieneusi".The relevant literature was reviewed.Results This child had acute lymphoblastic leukemia as the underlying disease and was admitted to hospital for antimicrobial treatment due to fever and abdominal discomfort.The case was considered bacterial infection complicated with Enterocytozoon bieneusi infection,confirmed by detection of Klebsiella pneumoniae in blood and detection of Enterocytozoon bieneusi in blood and ascites by metagenomic next-generation sequencing(mNGS).The treatment was switched to tigecycline plus trimethoprim-sulfamethoxazole at a sufficient dose,which resulted in resolution of symptoms.Six months later,the patient suffered from acute lymphoblastic leukemia and bone marrow depression,Enterocytozoon bieneusi disseminated infection,septic shock.Her family gave up treatment and the child died.Literature review indicated that most patients infected with Enterocytozoon bieneusi had underlying conditions such as organ transplantation,AIDS,and leukemia associated with poor immunity.The onset symptoms are diarrhea,abdominal discomfort,and fever.Enterocytozoon bieneusi was detected by using methods such as modified Masson's trichrome stain,fluorescent calcofluor white staining,molecular detection techniques,and immunofluorescence.The patients were treated with drugs such as albendazole,nitazoxanide,fumagillin,and trimethoprim-sulfamethoxazole.Conclusions Enterocytozoon bieneusi is an opportunistic pathogenic fungus that infects immunocompromised patients and can cause abdominal discomfort,diarrhea,fever,and even disseminated infection and death.Conventional laboratory methods cannot culture Enterocytozoon bieneusi.Molecular detection techniques can be used to identify the pathogen early.