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.

Case 1 A 68-year-old male patient presented with poor appetite persisting for over 2 months and had been diagnosed with liver cancer 7 days prior. He was admitted to Liaocheng Second People′s Hospital on October 17, 2017. On October 18, 2017, at 8:00, the patient underwent transcatheter arterial chemoembolization under local anesthesia. At 17:30, the patient developed a fever. At 20:00, "port wine-colored" urine was noted during catheterization, prompting transfer to the intensive care unit (ICU) for enhanced treatment. Case 2 A 67-year-old male patient with a previous diagnosis of hilar cholangiocarcinoma presented to the Emergency Department of Liaocheng Second People′s Hospital at 17:40 on March 25, 2025, due to "unconsciousness for one hour". Routine blood testing revealed significantly decreased white blood cells, red blood cells, and platelets. Considering the critical condition, the patient was transferred to the ICU. At 19:30, "port wine-colored" urine was observed in the urinary catheter. Both cases showed evident signs of hemolysis in blood samples, rapid disease progression, with fatal outcomes occurring within a short period. Blood cultures from both patients signaled positive in anaerobic bottles. Identification using the bioMérieux VITEK 2 COMPACT ANC card confirmed Clostridium perfringens. Bloodstream infections caused by Clostridium perfringens leading to such severe intravascular hemolysis are rare. The disease course is notoriously aggressive. In clinical practice, early recognition of this infection is paramount.

Pulmonary vascular remodeling is the core pathological feature in the onset and pro-gression of pulmonary arterial hypertension(PAH).Currently,there is no well-defined therapeutic strategy that can effectively delay or reverse this process.Despite the widespread clinical application of targeted vasodilator drugs,patients still face a high risk of mortality and adverse cardiovascular e-vents,suggesting an urgent need to explore new pathological mechanisms and therapeutic targets.In recent years,the relationship between dyslipidemia and PAH has garnered increasing attention.This article aimed to review the role of lipid metabolism disorders in pulmonary vascular remodeling in pul-monary arterial hypertension and its underlying mechanism,with the hope of providing new interven-tion targets for the treatment of PAH,thereby improving patient survival rates and quality of life.

Multiple stages of digital fixed restorations may have impact on the occlusal accuracy of the final restorations.Among them, the determination of occlusal plane, the records of static and dynamic occlusion are key stages.Facing the situation of more residual roots, residual crowns, as well as unstable occlusion in elderly people, the accurate occlusal records are of greater significance.This review focuses on above influencing factors combined with evaluation methods for occlusal accuracy.It is believed that in general, whether to transfer personalized occlusion plane should be decided according to the clinical needs, meanwhile fixed restorations made by directly scanning static occlusion under heavy bite force, and obtaining dynamic occlusion using mandibular movement system have more accurate occlusal morphology.However, more randomized controlled clinical trials with large sample size supporting this field of research are still needed for the elderly population.

Multiple stages of digital fixed restorations may have impact on the occlusal accuracy of the final restorations.Among them, the determination of occlusal plane, the records of static and dynamic occlusion are key stages.Facing the situation of more residual roots, residual crowns, as well as unstable occlusion in elderly people, the accurate occlusal records are of greater significance.This review focuses on above influencing factors combined with evaluation methods for occlusal accuracy.It is believed that in general, whether to transfer personalized occlusion plane should be decided according to the clinical needs, meanwhile fixed restorations made by directly scanning static occlusion under heavy bite force, and obtaining dynamic occlusion using mandibular movement system have more accurate occlusal morphology.However, more randomized controlled clinical trials with large sample size supporting this field of research are still needed for the elderly population.

Object·To explore the effects of comorbid obsessive-compulsive personality disorder(OCPD)on the behavioral inhibition system(BIS)/behavioral activation system(BAS)in patients with obsessive-compulsive disorder(OCD).Methods·A total of 247 patients with unmedicated OCD diagnosed in the Mental Health Center,Shanghai Jiao Tong University School of Medicine from 2014 to 2018 were included and divided into an OCD group(n=202),and an OCD+OCPD group(n=45),and 107 healthy controls were recruited as a comparison group.Yale-Brown Obsessive-Compulsion Scale(YBOCS),BIS/BAS Scale,Hamilton Depression Scale(HAMD),and Hamilton Anxiety Scale(HAMA)were used to assess psychopathological features.Gender differences among the three groups were analyzed using the x2 test.One-way analysis of variance(ANOVA)was used to compare differences in demographic characteristics,psychopathological features,and BIS/BAS scores,followed by the least significant difference(LSD)test for pairwise comparisons.Regression analysis was conducted to explore the relationships between psychopathological features and BIS/BAS scores.Results·There were no significant differences in gender,age,and years of education among the three groups.The scores of YBOCS(t=2.925,P=0.004),HAMD(t=2.130,P=0.034)and HAMA(t=2.568,P=0.011)in the OCD+OCPD group were significantly higher than those in the OCD group.There were statistically significant differences in BIS and BAS scores among the three groups(BIS:F=39.573,P＜0.001;BAS:F=3.915,P=0.021).The results showed that for BIS,there were statistically significant differences in pairwise comparisons among the three groups(OCD+OCPD vs OCD:P=0.002;OCD+OCPD vs HC:P＜0.001;OCD vs HC:P＜0.001),and the scores were OCD+OCPD＜OCD＜HC from low to high.For BAS,the OCD group scored significantly higher than the OCD+OCPD and HC groups(OCD+OCPD vs OCD:P=0.018;OCD vs HC:P=0.043),but there was no significant difference between the OCD+OCPD and HC groups.Regression models of BIS and BAS were constructed for OCD patients with OCPD,and the results showed that the overall prediction effect of the model was significant for BIS total scores(F=2.599,P=0.013).Only the severity of OCPD symptoms can significantly predict BIS scores(t=-2.282,P=0.023).For BAS total scores,the overall prediction effect of the model was not significant(F=1.438,P=0.191).Conclusion·Comorbid OCPD may be an adverse factor for abnormal BIS and a protective factor for abnormal BAS in patients with OCD.

Object·To explore the effects of comorbid obsessive-compulsive personality disorder(OCPD)on the behavioral inhibition system(BIS)/behavioral activation system(BAS)in patients with obsessive-compulsive disorder(OCD).Methods·A total of 247 patients with unmedicated OCD diagnosed in the Mental Health Center,Shanghai Jiao Tong University School of Medicine from 2014 to 2018 were included and divided into an OCD group(n=202),and an OCD+OCPD group(n=45),and 107 healthy controls were recruited as a comparison group.Yale-Brown Obsessive-Compulsion Scale(YBOCS),BIS/BAS Scale,Hamilton Depression Scale(HAMD),and Hamilton Anxiety Scale(HAMA)were used to assess psychopathological features.Gender differences among the three groups were analyzed using the x2 test.One-way analysis of variance(ANOVA)was used to compare differences in demographic characteristics,psychopathological features,and BIS/BAS scores,followed by the least significant difference(LSD)test for pairwise comparisons.Regression analysis was conducted to explore the relationships between psychopathological features and BIS/BAS scores.Results·There were no significant differences in gender,age,and years of education among the three groups.The scores of YBOCS(t=2.925,P=0.004),HAMD(t=2.130,P=0.034)and HAMA(t=2.568,P=0.011)in the OCD+OCPD group were significantly higher than those in the OCD group.There were statistically significant differences in BIS and BAS scores among the three groups(BIS:F=39.573,P＜0.001;BAS:F=3.915,P=0.021).The results showed that for BIS,there were statistically significant differences in pairwise comparisons among the three groups(OCD+OCPD vs OCD:P=0.002;OCD+OCPD vs HC:P＜0.001;OCD vs HC:P＜0.001),and the scores were OCD+OCPD＜OCD＜HC from low to high.For BAS,the OCD group scored significantly higher than the OCD+OCPD and HC groups(OCD+OCPD vs OCD:P=0.018;OCD vs HC:P=0.043),but there was no significant difference between the OCD+OCPD and HC groups.Regression models of BIS and BAS were constructed for OCD patients with OCPD,and the results showed that the overall prediction effect of the model was significant for BIS total scores(F=2.599,P=0.013).Only the severity of OCPD symptoms can significantly predict BIS scores(t=-2.282,P=0.023).For BAS total scores,the overall prediction effect of the model was not significant(F=1.438,P=0.191).Conclusion·Comorbid OCPD may be an adverse factor for abnormal BIS and a protective factor for abnormal BAS in patients with OCD.

Case 1 A 68-year-old male patient presented with poor appetite persisting for over 2 months and had been diagnosed with liver cancer 7 days prior. He was admitted to Liaocheng Second People′s Hospital on October 17, 2017. On October 18, 2017, at 8:00, the patient underwent transcatheter arterial chemoembolization under local anesthesia. At 17:30, the patient developed a fever. At 20:00, "port wine-colored" urine was noted during catheterization, prompting transfer to the intensive care unit (ICU) for enhanced treatment. Case 2 A 67-year-old male patient with a previous diagnosis of hilar cholangiocarcinoma presented to the Emergency Department of Liaocheng Second People′s Hospital at 17:40 on March 25, 2025, due to "unconsciousness for one hour". Routine blood testing revealed significantly decreased white blood cells, red blood cells, and platelets. Considering the critical condition, the patient was transferred to the ICU. At 19:30, "port wine-colored" urine was observed in the urinary catheter. Both cases showed evident signs of hemolysis in blood samples, rapid disease progression, with fatal outcomes occurring within a short period. Blood cultures from both patients signaled positive in anaerobic bottles. Identification using the bioMérieux VITEK 2 COMPACT ANC card confirmed Clostridium perfringens. Bloodstream infections caused by Clostridium perfringens leading to such severe intravascular hemolysis are rare. The disease course is notoriously aggressive. In clinical practice, early recognition of this infection is paramount.

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.

Toxoplasma gondii is an obligatory intracellular parasite which infects a variety of warm-blooded animals and causes toxoplasmosis. Toxoplasmosis seriously endangers human health and animal husbandry production. As one of the effective gene editing tools, the clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated proteins (Cas) system has been widely used for knockout of genes in T. gondii. This review summarizes the applications of the CRISPR/Cas9 technology in vaccines against single- and double-gene deletion strains of T. gondii, so as to provide insights into development of toxoplasmosis vaccines.