Primary liver cancer is a common malignant tumor in China. The current main treatment methods include surgical resection, liver transplantation, interventional therapy, radiofrequency ablation, chemotherapy, targeted therapy, and immunotherapy. Yttrium-90 microsphere selective internal radiation therapy (⁹⁰Y-SIRT) represents a critical treatment option for converting unresectable intermediate to advanced hepatocellular carcinoma. This report details a case of a patient with a giant hepatocellular carcinoma in the right lobe treated with ⁹⁰Y resin microsphere at the Third Affiliated Hospital of Sun Yat-sen University. Post-treatment, the tumor showed significant necrosis and reduction in size, with a marked decrease in alpha fetoprotein (AFP) levels and notable improvement in clinical symptoms. The case highlights the substantial efficacy of ⁹⁰Y-SIRT in controlling tumor progression and enhancing patient quality of life.

ObjectiveTo investigate the potential mechanisms of Zhimu （Anemarrhena asphodeloides）-Huangbai （Phellodendron amurense） medicinal pair in alleviating postmenopausal osteoporosis （PMOP）. MethodsSixty unpregnant female SD rats were randomly divided into five groups， blank group， model group， low-dose Zhimu-Huangbai group， high-dose Zhimu-Huangbai group， and estradiol group， with 12 rats in each group. Except for the blank group， all other groups had their ovaries removed to create PMOP rat models， while the blank group only had the fat tissue around the ovaries removed. One week after the ovarian removal， the low-dose and high-dose Zhimu-Huangbai groups received concentrated solution of Zhimu and Huangbai with 1.8， 7.2 g/（kg·d） via gavage， the estradiol group received estradiol solution 0.09 mg/（kg·d） via gavage， and the blank group and the model group received 10 ml/（kg·d） of normal saline via gavage， once daily for 12 weeks. Before sampling， the body mass of the rats was recorded， and uterine tissue was taken to calculate the uterine index. The levels of interleukin-1β （IL-1β）， interleukin-6 （IL-6） and tumor necrosis factor-α （TNF-α） in serum were detected by ELISA； micro CT was used to examine the parameters of femoral microstructure， including bone volume/tissue volume （BV/TV）， trabecular number （Tb.N）， trabecular thickness （Tb.Th）， bone mineral density （BMD）， trabecular separation （Tb.Sp）， and cortical bone area （Ct.Ar）. HE staining was used to observe pathological changes in the femur； RT-qPCR was used to detect the mRNA expression of osteogenic-adipogenic differentiation-related factors in femoral tissue， including Runt-related transcription factor 2 （Runx2）， bone morphogenetic protein 2 （BMP-2）， peroxisome proliferator-activated receptor γ （PPARγ）， chemerin and chemokine-like receptor 1 （CMKLR1）. ResultsCompared with the blank group， the model group showed a significant increase in body mass， a significant decrease in the uterine index， BV/TV， Tb.N， Tb.Th and BMD， a significant increase in Tb.Sp， and serum IL-1β， IL-6， and TNF-α levels， a significant reduction of mRNA expression of Runx2 and BMP-2 in bone tissue， and a significant increased mRNA expression of PPARγ， chemerin， and CMKLR1 （P＜0.01）. HE staining revealed that the femoral tissue showed a reduction and sparsity of trabeculae， a significant enlargement of the medullary cavity， and a large number of fat cells. Compared to the model group， the low-dose， high-dose Zhimu-Huangbai groups， and estradiol group showed significant improvements in all the above-mentioned indicators （P＜0.05 or P＜0.01）. HE staining revealed a significant increase in trabeculae， more organized arrangement， and a marked reduction in fat cells. Compared to low-dose Zhimu-Huangbai group， the high-dose Zhimu-Huangbai group exhibited a significant increase in the uterine index and BMD， and a significant reduction in body mass and PPARγ and Chemerin mRNA expression （P＜0.05 or P＜0.01）. Compared to high-dose Zhimu-Huangbai group， the estradiol group showed a decrease in uterine index， BV/TV， Tb.N， Tb.Th， BMD， and BMP-2 mRNA expression， while the levels of IL-1β， TNF-α， and IL-6， as well as Tb.Sp and the mRNA expressions of PPARγ， chemerin， and CMKLR1 increased （P＜0.05 or P＜0.01）. ConclusionThe Zhimu-Huangbai medicinal pair can alleviate PMOP bone loss， and its mechanism of action is related to reducing the levels of inflammatory factors， correcting the disorder of osteogenic-adipogenic differentiation of bone marrow mesenchymal stem cells （BMSCs）， and promoting the differentiation of BMSCs into osteoblasts.

Pinellia ternata， belonging to the Pinellia genus within the Araceae family， is a medicinal plant due to its tubers. There are severe issues with unclear germplasm and mixed varieties in its cultivation， necessitating urgent new variety protection efforts. The distinctness， uniformity， and stability （DUS） testing of the plant variety is the basis for protecting new plant varieties， and the DUS test guidelines are the technical basis for DUS testing. To develop the DUS test guidelines for P. ternata， agronomic traits of 229 germplasm of P. ternata were observed and measured during its two growth stages over the years， and each character was graded and described. A total of 38 traits were selected as the test traits of the DUS test guideline for P. ternata. There were three plant traits， 19 leaf traits， six flower traits， two fruit traits， two tuber traits， five bulbil traits， and one ploidy trait. These traits could be divided into 22 quality characters， 12 quantitative characters， and four pseudo-quantitative characters， as well as seven groups， including plants， leaves， flowers， fruit， tubers， bulbils， and ploidy. By searching for standard traits， 10 standard varieties were ultimately determined. Preparing these guidelines will have great significance for reviewing and protecting P. ternata varieties， safeguarding breeders' rights， and promoting the development of the P. ternata industry.

Objective To evaluate the efficacy and further analyze the application prospects of the combined multitarget fecal FIT-DNA assay in the early screening of colorectal cancer.Methods Subjects were selected from a population attending the Inner Mongolia Medical University Hospital.Each subject underwent a combined multi-target fecal FIT-DNA test(experimental group),a serum tumor marker test and enteroscopy(control group).The pathological results were used as the gold standard to evaluate the efficacy of novel fecal molecular testing techniques for colorectal cancer screening with timely intervention given to screen positive individuals.Results The data of 115 individuals were analyzed.Serum tumor markers test had a sensitivity of 63.2%(43/68)and a specificity of 74.5%(35/47).The enteroscopy had a sensitivity of 97.1%(66/68)and a specificity of 80.7%(38/47);the combined multitarget fecal FIT-DNA test had a sensitivity of 89.7%(61/68)and a specificity of 87.2%(41/47).Conclusion The sensitivity and specificity of multitarget fecal FIT-DNA combined detection are better than those of serum tumor marker detection.Although its sensitivity is lower than enteroscopy,its operation is simpler and can be tested at home.

During the complete denture restoration process, accurate impression making is a crucial step for achieving good denture retention. With the increasing popularity of intraoral scanning technology in fixed restoration, the use of intraoral scanning technology in complete denture restoration for edentulous jaw has also been developed. This article systematically reviews the research progress and application of intraoral scanning of edentulous soft tissue, focusing on difficulties in intraoral scanning of edentulous jaws, scanning accuracy, clinical application effects, as well as precautions involved. The aim is to provide references for clinical application.

Objective: : The spontaneous intracerebral hemorrhage (ICH) remains a significant cause of mortality and morbidity throughout the world. The purpose of this retrospective study is to develop multiple models for predicting ICH outcomes using machine learning (ML). Methods: : Between January 2014 and October 2021, we included ICH patients identified by computed tomography or magnetic resonance imaging and treated with surgery. At the 6-month check-up, outcomes were assessed using the modified Rankin Scale. In this study, four ML models, including Support Vector Machine (SVM), Decision Tree C5.0, Artificial Neural Network, Logistic Regression were used to build ICH prediction models. In order to evaluate the reliability and the ML models, we calculated the area under the receiver operating characteristic curve (AUC), specificity, sensitivity, accuracy, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR). Results: : We identified 71 patients who had favorable outcomes and 156 who had unfavorable outcomes. The results showed that the SVM model achieved the best comprehensive prediction efficiency. For the SVM model, the AUC, accuracy, specificity, sensitivity, PLR, NLR, and DOR were 0.91, 0.92, 0.92, 0.93, 11.63, 0.076, and 153.03, respectively. For the SVM model, we found the importance value of time to operating room (TOR) was higher significantly than other variables. Conclusion : The analysis of clinical reliability showed that the SVM model achieved the best comprehensive prediction efficiency and the importance value of TOR was higher significantly than other variables.

Objective:To explore the value of Plan-Do-Check-Act (PDCA) management model in improving the quality of breast ultrasound diagnosis.Methods:From January 1 to December 31, 2021, patients undergoing breast nodule surgery in the Union Hospital, Tongji Medical College, Huazhong University of Science and Technology were selected for breast ultrasound Breast Imaging Reporting and Data System (BI-RADS) classification diagnosis and follow-up. Using pathological results as the gold standard, the malignant rate of different BI-RADS grade and the coincidence rate of ultrasound diagnosis of breast cancer before the first treatment were analyzed. PDCA cycle management mode was introduced to analyze, learn and sort out the quality of breast ultrasound diagnosis. The same method was used to follow up the breast ultrasound diagnosis in the ultrasound department of our hospital from January 1 to December 31, 2022. The results of two follow-up visits were compared.Results:Compared with 2021, the malignancy rates of category 3 and 4a BI-RADS diagnosed by ultrasonic diagnosis of breast nodules in hospitals in 2022 were closer to the malignancy rates recommended by the classification guidelines of BI-RADS (all P<0.05). There was no significant difference in the malignant rate of BI RADS 4b, 4c and 5 types of nodules (all P>0.05). In 2022, compared with 2021, the ultrasound diagnosis coincidence rate before the first treatment of breast disease increased from 90.4%(1 592/1 761) to 95.9%(1 806/1 884). Conclusions:PDCA management mode is helpful to improve the classification and diagnosis quality of breast ultrasound BI-RADS, and better assist clinical diagnosis and treatment.

Objective To observe the value of deep learning(DL)models for automatic classification of echocardiographic views.Methods Totally 100 patients after heart transplantation were retrospectively enrolled and divided into training set,validation set and test set at a ratio of 7∶2∶1.ResNet18,ResNet34,Swin Transformer and Swin Transformer V2 models were established based on 2D apical two chamber view,2D apical three chamber view,2D apical four chamber view,2D subcostal view,parasternal long-axis view of left ventricle,short-axis view of great arteries,short-axis view of apex of left ventricle,short-axis view of papillary muscle of left ventricle,short-axis view of mitral valve of left ventricle,also 3D and CDFI views of echocardiography.The accuracy,precision,recall,F1 score and confusion matrix were used to evaluate the performance of each model for automatically classifying echocardiographic views.The interactive interface was designed based on Qt Designer software and deployed on the desktop.Results The performance of models for automatically classifying echocardiographic views in test set were all good,with relatively poor performance for 2D short-axis view of left ventricle and superior performance for 3D and CDFI views.Swin Transformer V2 was the optimal model for automatically classifying echocardiographic views,with high accuracy,precision,recall and F1 score was 92.56％,89.01％,89.97％and 89.31％,respectively,which also had the highest diagonal value in confusion matrix and showed the best classification effect on various views in t-SNE figure.Conclusion DL model had good performance for automatically classifying echocardiographic views,especially Swin Transformer V2 model had the best performance.Using interactive classification interface could improve the interpretability of prediction results to some extent.

Tetralogy of Fallot is the most common cause of cyanotic congenital heart disease,and it is related with the high incidence of pulmonary regurgitation in repaired tetralogy of Fallot that usually requires pulmonary valve replacement.Transcatheter pulmonary valve replacement can replace traditional surgery in treating pulmonary regurgitation,which can make up for the shortcoming of large injury.Echocardiography is important in assessing ventricular function,however,conventional echocardiographic parameters have several limitations.This study reviewed the application of two-dimensional speckle tracking imaging in evaluating the right and left ventricular function after transcatheter pulmonary valve replacement in pulmonary valve regurgitation after repaired tetralogy of Fallot.

Purpose To explore the value of contrast-enhanced ultrasound(CEUS)in the differential diagnosis of gallbladder polypoid lesions(GPLs)(diameter≥10 mm).Materials and Methods A prospective enrollment of 229 patients with GPLs who underwent cholecystectomy in 17 hospitals from December 1 2021 to June 30 2024 was conducted to analyze the relationship between general data,conventional ultrasound,CEUS characteristics and the nature of GPLs.Multivariate Logistic regression was employed to identify independent risk factors for neoplastic polyps,the differential diagnostic value of different indicators was compared.Results Among 229 patients with GPLs,there were 108 cases of cholesterol polyps,102 cases of adenoma and 19 cases of gallbladder cancer.Age(Z=-4.476,P<0.001),polyp number(χ2=15.561,P<0.001),diameter(Z=-8.149,P<0.001),echogenicity(χ2=9.241,P=0.010),vascularity(χ2=23.107,P<0.001),enhancement intensity(χ2=47.610,P<0.001),enhancement pattern(χ2=6.468,P=0.011),vascular type(χ2=84.470,P<0.001),integrity of gallbladder wall(χ2=7.662,P=0.006)and stalk width(Z=-9.831,P<0.001)between cholesterol polyps and neoplastic polyps were statistically significant.Age,location,diameter,echogenicity,enhancement pattern,vascular type and stalk width between adenoma and gallbladder cancer were statistically significant(Z=-4.333,-3.902,-5.042,all P<0.05).Multivariate Logistic regression analysis showed that hyper-enhancement,branched vascular type and stalk width were independent risk factors for neoplastic polyps(OR=4.563,5.770,3.075,all P<0.001).The combination of independent risk factors was better than single factor and diameter in the differential diagnosis of cholesterol polyps and neoplastic polyps(all P<0.01).Conclusion CEUS can effectively identify the nature of GPLs and provide a valuable imaging reference for the selection of treatment methods.