[Introduction to the 9th edition of TNM classification for lung cancer].

Lung cancer is the second commonly diagnosed cancer and remained the leading cause of cancer-related death, with an estimated 1.8 million deaths in 2020. The identification of driver gene mutation and administration of corresponding tyrosine kinase inhibitor have improved overall survival and quality of life in advanced lung cancer patients. Check point inhibitor has revolutionized treatment strategy of driver gene negative advanced NSCLC patients. TNM staging system is the most widely used classification method, providing an international common language during academic communication and important tool for predicting prognosis and subsequent treatment decision making. Accumulating knowledge about prognostic factors in lung cancer promotes the update of TNM classification. In the World Conference on Lung Cancer (WCLC) held in Singapore, September, 2023, International Association for Study of Lung Cancer (IASLC) released the forthcoming 9th edition of TNM classification for lung cancer, which is supposed to be adopted at January, 2024. The manuscript discussed the history, data resource and limitation of the TNM staging system.

[A multiscale carotid plaque detection method based on two-stage analysis].

OBJECTIVE: To develop a method for accurate identification of multiscale carotid plaques in ultrasound images. METHODS: We proposed a two-stage carotid plaque detection method based on deep convolutional neural network (SM-YOLO).A series of algorithms such as median filtering, histogram equalization, and Gamma transformation were used to preprocess the dataset to improve image quality. In the first stage of the model construction, a candidate plaque set was built based on the YOLOX_l target detection network, using multiscale image training and multiscale image prediction strategies to accommodate carotid artery plaques of different shapes and sizes. In the second stage, the Histogram of Oriented Gradient (HOG) features and Local Binary Pattern (LBP) features were extracted and fused, and a Support Vector Machine (SVM) classifier was used to screen the candidate plaque set to obtain the final detection results. This model was compared quantitatively and visually with several target detection models (YOLOX_l, SSD, EfficientDet, YOLOV5_l, Faster R-CNN). RESULTS: SM-YOLO achieved a recall of 89.44%, an accuracy of 90.96%, a F1-Score of 90.19%, and an AP of 92.70% on the test set, outperforming other models in all performance indicators and visual effects. The constructed model had a much shorter detection time than the Faster R-CNN model (only one third of that of the latter), thus meeting the requirements of real-time detection. CONCLUSION: The proposed carotid artery plaque detection method has good performance for accurate identification of carotid plaques in ultrasound images.

[Recent research advances of angiogenesis in temporomandibular joint osteoarthritis].

Temporomandibular joint osteoarthritis (TMJOA) is a degenerative disease of temporomandibular joint, which has a high incidence and affects the quality of patients' life. While the pathogenesis of TMJOA remains unclear. It has been found that angiogenesis is involved in the development of TMJOA and it is closely related to the degradation of articular cartilage matrix, subchondral ossification, osteophyte formation and pain. This article reviews the recent advances in the study of angiogenesis in TMJOA, and provides a prospect for the treatment of TMJOA.

Imaging features of temporomandibular joint synovial chondromatosis with associated osseous degenerative changes.

Synovial chondromatosis (SC) of the temporomandibular joint (TMJ) is a rare benign disease associated with the formation of multiple cartilaginous nodules in the synovial tissue of the TMJ. This can result in pain, swelling, clicking, limited mouth opening, and osseous degenerative joint changes. A retrospective cross-sectional study was performed to summarize the clinical features, radiographic findings, and surgical and histopathological findings of TMJ SC patients who underwent open surgery over a 24-year period. A radiographic scoring system was used to evaluate osseous changes and correlate condyle and joint fossa degeneration. The study included 38 patients and focused on 38 joints. All 38 of these joints showed degenerative changes in the condyle, while 37 showed osseous degenerative changes in the articular fossa. The degree of condylar degenerative changes was related to the duration of the chief complaints (r = 0.342, P = 0.036) and the histopathological stage of the TMJ SC (r = 0.440, P = 0.006), while the degree of joint fossa degenerative changes was associated with the radiographic extent of the SC (r = 0.504, P = 0.001), type of calcification (r = 0.365, P = 0.024), and the histopathological stage (r = 0.458, P = 0.004).

Gelanxinning capsule improves coronary microvascular dysfunction by inhibiting inflammation and restoring endothelial function.

OBJECTIVE: Gelanxinning capsule (GXSC) is a Chinese medicine to cure coronary artery disease (CAD) and a compound of Pueraria lobata, hawthorn extract, and gypenosides. However, whether GXSC could improve coronary microvascular dysfunction (CMD) is unknown. We aimed to demonstrate the therapeutic effect of GXSC on CMD and its underlying mechanisms in CAD patients. PATIENTS AND METHODS: This was a single-center, randomized control trial. A total of 78 patients diagnosed by selective coronary angiography (CAG) participated in this study. Patients' demographics, medical history, medications, and results of laboratory testing were collected. The index of microcirculatory resistance (IMR) and coronary flow reserve (CFR) were obtained by CAG and single-photon emission computed tomography (SPECT) separately. Fasting blood samples were obtained on the morning following the admission day. Concentrations of several molecules of inflammation, endothelial function, and coronary microvascular function were measured by ELISA. Patients were followed-up two months after discharge and fasting blood samples were also acquired. RESULTS: All patients were randomly divided into 2 groups: GXSC, 38 (48.7%), and control, 40 (51.3%). The intergroup comparison revealed no significant differences with respect to all baseline variables. As for inflammation biomarkers, proinflammatory NOD-like receptor thermal protein domain associated protein 3 (NLRP3) and interleukin (IL)-1 were significantly decreased in GXSC compared with the control group (0.71±0.08 vs. 1.04±0.07, p<0.01 and 7.16±0.59 vs. 10.93±1.04, p<0.01). Anti-inflammatory adropin was increased in the GXSC group (7.75±0.59 vs. 5.71±0.68, p=0.03). As for indexes of endothelial function, the concentrations of syndecan (SDC) 1, SDC4 and heparan sulphates (HS) were significantly downregulated in 2 months GXSC treatment (3.31±0.28 vs. 4.85±0.43, p<0.01, 3.79±0.56 vs. 5.69±0.68, p=0.03 and 21.31±2.79 vs. 35.18±4.11 p<0.01). In addition, the level of SIRTUIN 1 (SIRT1), which is a vascular protective protein, was upregulated in GXSC group (5.63±0.30 vs. 4.22±0.37, p<0.01). As for molecules of coronary microvascular function, endocan, soluble urokinase plasminogen activator receptor (suPAR), and growth differentiation factor (GDF)-15 were significantly decreased consistently in GXSC compared with the control group (0.09±0.01 vs. 0.19±0.03, p<0.01, 4.44±0.40 vs. 5.73±0.40, p=0.03 and 2.08±0.17 vs. 2.69±0.18, p=0.02). CONCLUSIONS: In conclusion, GXSC could improve CMD by inhibiting inflammation and restoring endothelial function. GXSC might be an effective drug in CAD patients without obstructive epicardial coronary arteries but suffering from angina.

[Prediction of microvascular invasion in hepatocellular carcinoma with magnetic resonance imaging using models combining deep attention mechanism with clinical features].

OBJECTIVE: To investigate the consistency and diagnostic performance of magnetic resonance imaging (MRI) for detecting microvascular invasion (MVI) of hepatocellular carcinoma (HCC) and the validity of deep learning attention mechanisms and clinical features for MVI grade prediction. METHODS: This retrospective study was conducted among 158 patients with HCC treated in Shunde Hospital Affiliated to Southern Medical University between January, 2017 and February, 2020. The imaging data and clinical data of the patients were collected to establish single sequence deep learning models and fusion models based on the EfficientNetB0 and attention modules. The imaging data included conventional MRI sequences (T1WI, T2WI, and DWI), enhanced MRI sequences (AP, PP, EP, and HBP) and synthesized MRI sequences (T1mapping-pre and T1mapping-20 min), and the high-risk areas of MVI were visualized using deep learning visualization techniques. RESULTS: The fusion model based on T1mapping-20min sequence and clinical features outperformed other fusion models with an accuracy of 0.8376, a sensitivity of 0.8378, a specificity of 0.8702, and an AUC of 0.8501 for detecting MVI. The deep fusion models were also capable of displaying the high-risk areas of MVI. CONCLUSION: The fusion models based on multiple MRI sequences can effectively detect MVI in patients with HCC, demonstrating the validity of deep learning algorithm that combines attention mechanism and clinical features for MVI grade prediction.

[Advances on pathogenesis of acquired peritoneal ultrafiltration failure in peritoneal dialysis].

Peritoneal ultrafiltration failure is a common reason for peritoneal dialysis (PD) withdrawal as well as mortality in PD patients. Based on the three-pore system, inter-cellular small pores and trans-cellular ultra-small pores (aquaporin-1) are mainly responsible for water transfer across the peritoneum. Both small and ultra-small pores-dependent water (free water) transport decline accompanied with time on PD, with more significant decrease in free water, resulting in peritoneal ultrafiltration failure. The reduction of free water transport is associated with fast peritoneal solute transfer, reduced crystalloid osmotic gradient due to increased interstitial glucose absorption, and declined osmotic conductance to glucose resulted from impaired aquaporin-1 function and peritoneal interstitial fibrosis. The decline of small pore-based water is mainly because of fast loss of crystalloid osmotic gradient, decrease of hydrostatic pressure mediated by peritoneal vasculopathy, as well as reduced absolute number of small pores. The current review discusses the advance on pathogenesis of acquired peritoneal ultrafiltration failure in long-term PD.

[Advances in the arthroscopic methods in managing temporomandibular joint disorders].

Temporomandibular joint disorders are common diseases characterized by joint clicking, limited mouth opening and pain, which have a huge impact on the patients' daily life. Conservative methods include medicine, physiotherapy and occlusal application. With the advancement of medical technology, the arthroscopy is becoming popular for its minimally invasion and high efficiency. This review focuses on the common arthroscopic methods, and provides an outlook of the arthroscopic surgery.

[Fetal ECG extraction using temporal convolutional encoder-decoder network].

OBJECTIVE: To extract weak fetal ECG signals from mixed ECG signals recorded from maternal abdominal wall for accurate analysis of fetal heart rate and fetal ECG patterns. METHODS: By exploiting the superior nonlinear mapping ability of deep convolutional network, we developed a nonlinear adaptive noise cancelling (nonlinear ANC) extraction framework based on a temporal convolutional encoder-decoder network for extracting fetal ECG signals. We first constructed a deep temporal convolutional network (TCED-Net) model for fetal ECG signal extraction, and with the maternal chest ECG signal as the reference signal, the maternal ECG component in the abdominal mixed signal was estimated using this model. The estimated maternal ECG component was subtracted from the mixed abdominal ECG signals to obtain the fetal ECG component. Experimental analyses were performed using synthetic ECG signals (FECGSYNDB) and clinical ECG signals (NIFECGDB, PCDB) to test the performance of the propose method. RESULTS: The results of experiments on the FECGSYNDB dataset showed that the proposed approach achieved good performance in F1-score (98.89%), mean-square-error (MSE; 0.20) and quality signalto-noise ratio (qSNR; 7.84). The F1- score reached 99.1% on the NIFECGDB dataset and 98.61% on the PCDB dataset. The R peak detection accuracy index of the proposed method was higher than the existing best-performing algorithms such as EKF (F1=93.84%), ES-RNN (F1=97.20%) and AECG-DecompNet (F1=95.43%) by 5.05%, 1.9% and 3.18%, respectively. CONCLUSION: The fetal ECG signals extracted using the proposed method are clearer than those by the existing algorithms, suggesting the potential value this method for effective fetal health monitoring during pregnancy.

Early on-treatment tumor growth rate (EOT-TGR) determines treatment outcomes of advanced non-small-cell lung cancer patients treated with programmed cell death protein 1 axis inhibitor.

BACKGROUND: Tumor growth rate (TGR), denoted as percentage change in tumor size per month, is a well-established indicator of tumor growth kinetics. The predictive value of early on-treatment TGR (EOT-TGR) for immunotherapy remains unclear. We sought to establish and validate the association of EOT-TGR with treatment outcomes in patients with advanced non-small-cell lung cancer (aNSCLC) undergoing anti-PD-1/PD-L1 (programmed cell death protein 1/programmed death-ligand 1) therapy. PATIENTS AND METHODS: This bicenter retrospective cohort study included a training cohort, a contemporaneously treated internal validation cohort, and an external validation cohort. Computed tomography images were retrieved to calculate EOT-TGR, denoted as tumor burden change per month during a period between baseline and the first imaging evaluation after immunotherapy. Kaplan-Meier methodology and Cox regression analysis were conducted for survival analyses. RESULTS: In the pooled cohort (n = 172), 125 patients (72.7%) were males; median age at diagnosis was 58 (range 28-79) years. Based on the training cohort, we determined the optimal cut-off value for EOT-TGR as 10.4%/month. Higher EOT-TGR was significantly associated with inferior overall survival [OS; hazard ratio (HR) 2.93, 95% confidence interval (CI) 1.47-5.83; P = 0.002], worse progression-free survival (PFS; HR 2.44, 95% CI 1.46-4.08; P = 0.001), and lower objective response rate (3.3% versus 20.9%; P = 0.040) and durable clinical benefit rate (6.7% versus 41.9%; P = 0.001). Results were reproducible in the two validation cohorts for OS and PFS. Among 43 patients who had a best response of progressive disease in the training cohort, those with high EOT-TGR had worse OS (HR 2.64; P = 0.041) and were more likely to progress due to target lesions at the first tumor evaluation (85.2% versus 0.0%; P <0.001). CONCLUSIONS: Higher EOT-TGR was associated with inferior OS and immunotherapeutic response in patients with aNSCLC undergoing anti-PD-1/PD-L1 therapy. This easy-to-calculate radiologic biomarker may help evaluate the abilities of immunotherapy to prolong survival and assist in tailoring patients' management. TRIAL REGISTRATION: ClinicalTrials.govNCT04722406; https://clinicaltrials.gov/ct2/show/NCT04722406.

Research on red tide short-time prediction using GRU network model based on multi-feature Factors--A case in Xiamen sea area.

Red tide caused severe impacts on marine fisheries, ecology, economy and human life safety. The formation mechanism of the red tide is rather complicated; thus, red tide prediction and forecasting have long been a research hotspot around the globe. This study collected ocean monitoring data before and after the occurrence of red tides in Xiamen sea area from 2009 to 2017. The Pearson correlation coefficient method was used to obtain the associated factors of red tide occurrence, including water temperature, saturated dissolved oxygen, dissolved oxygen, chlorophyll-aand potential of hydrogen. Then, we built a short-time red tide prediction model based on the combination of multiple feature factors. chlorophyll-a, dissolved oxygen, saturated dissolved oxygen, potential of hydrogen, water temperature, salinity, turbidity, wind speed, wind direction and Air pressure were used as the input variables, building a short-time prediction model based on the combination of multiple feature factors to forecast red tide in the next 6 h by using the monitoring data. The accuracy of different forecast models with different feature combinations was compared. Results show that the distinguishing factors which have the most significant influence on red tide prediction in Xiamen are chlorophyll-a, dissolved oxygen, saturated dissolved oxygen, potential of hydrogen, and water temperature. the convergence speed of the Gated Recurrence Unit (GRU) prediction model based on the main feature factor proposed in this paper was faster and obtained the expected result, and the accuracy rates of the buoys are above 92%. The research shows the feasibility to use GRU network model to predict the occurrence of red tide with multi-feature factors as input parameters. the paper provides an effective method for the red tide early warning in Xiamen sea area.

[A time-series study on the association of ambient temperature with daily outpatient visits of eczema in Huizhou city].

Objective: To explore the impact of environmental temperature exposure on eczema visits. Methods: Eczema clinic data from January 1, 2016 to December 31, 2019 were collected from the Huizhou Dermatology Hospital, and data on meteorological factors (average daily temperature and relative humidity) for the same period were derived from 86 meteorological stations of the Guangdong Provincial Climate Center. A distributed lag nonlinear model (DLNM) was used to assess the lagged effect of environmental temperature exposure on eczema, and a natural smooth spline function was used to control the nonlinear confounding of humidity. Results: There were 254 053 eczema outpatient visits at the Huizhou Dermatology Hospital within four years, with an average of 173.89 visits per day. The relationship between daily average temperature and the number of visits was non-linear (U shape). The risk of eczema increased by 2.20% (1.19%-3.21%) for every 1 ℃ decrease for the low temperature, and increased by 2.35% (1.24%-3.5%) for every 1 ℃ increase for the high temperature. The effect of high temperature was greater than that of low temperature. In all cases, 1.60% (0.44%-2.68%) of eczema outpatient visits were attributed to low temperature and the attributable number was 4 065 (1 128-6 798), while 6.33% (1.40%-10.87%) of eczema outpatient visits were due to high temperature and the attributable number was 16 082 (3 557-27 616). Conclusion: Both high temperature and low temperature are associated with increased risk of eczema.

[Clinical characteristics of biliary obstruction patients with Clonorchis sinensis infections].

OBJECTIVE: To analyze the clinical characteristics of biliary obstruction patients with Clonorchis sinensis infections, so as to provide insights into the clinical diagnosis and therapy of this comorbidity. METHODS: A total of 45 biliary obstruction patients with C. sinensis infections that were admitted to the Second Affiliated Hospital of Harbin Medical University from October 2012 to September 2019 were enrolled, and 45 patients with biliary obstruction alone at the hospital during the same study period were recruited as controls. Univariate analysis was performed to analyze the epidemiological characteristics, clinical manifestations, laboratory examination results and imaging manifestations related to C. sinensis infection, and the statistically significant univariate was used as an independent variable for multivariate logistic regression analysis. RESULTS: Compared with biliary obstruction alone, males (91.11% vs. 46.67%; χ2 = 20.737, P < 0.01) and rural areas (62.22% vs. 22.22%; χ2 = 14.757, P < 0.01) showed a significantly higher proportion in biliary obstruction patients with C. sinensis infections. The major clinical symptoms involved in had jaundice (45 cases, 100%) and abdominal pain (40 cases, 88.89%) in C. sinensis-infected patients. Logistic regression analysis showed that males [odds ratio (OR) = 10.717, 95% confidential interval (CI): (2.571, 44.662)] and drinking alcohol [OR = 4.474, 95% CI: (1.019, 19.642)] were risk factors for biliary obstruction patients with C. sinensis infections, while living in city [OR = 0.128, 95% CI: (0.038, 0.435)] was a protective factor. Additionally, in biliary obstruction patients with C. sinensis infections, lower total bilirubin (Z = -2.566, P <0.05) and direct bilirubin (Z = -3.454, P <0.05), higher indirect bilirubin (Z = -3.821, P < 0.05), thickening of the bile duct wall and dilatation of the intrahepatic bile duct were detected. CONCLUSIONS: A comprehensive diagnosis requires to be made based on clinical symptoms, laboratory and imaging examinations, in order to improve the diagnosis of biliary obstruction patients with C. sinensis infections.

[Clinicopathological characteristics and molecular alterations of primary cardiac leiomyosarcoma: report of five cases].

Objective: To investigate the clinical, pathologic and radiologic features and molecular alterations in patients with primary cardiac leiomyosarcoma (PCLMS). Methods: Five cases of PCLMS were collected in Beijing Anzhen Hospital from January 2016 to December 2020. The clinical, pathologic and radiologic data, and molecular alterations were analyzed, and the patients were followed up. Results: All five patients were female, and had no history of leiomyosarcoma in other parts of the body. The age of patients ranged from 37 to 62 years (median 47 years). The main clinical symptoms were chest pain and dyspnea, one also presented with palpitation and lower limb weakness and one with dizziness. Two tumors were located in the left atrium, two in the right atrium, and one in the right ventricle, and they maximal diameter ranged from 2.5 to 14.0 cm (mean 6.2 cm). The neoplasms presented as medium-echo masses with a broad base in the echocardiography, and as a low-density, solid mass when detected by contrast-enhanced CT. Histologically, two tumors were well-differentiated and three were moderately and poorly differentiated, and two included extensive, loose myxoid stroma. Immunohistochemical staining showed that PCLMS was positive for SMA, desmin, MDM2, and epidermal growth factor receptor. Fluorescence in situ hybridization showed ALK gene rearrangement in two cases, and COL1A1-PDGFB fusion in three cases. All cases received surgical excision and two cases received chemotherapy. Three patients died within 0-11 months (mean survival of 7.7 months) and two patients were alive. Conclusions: PCLMS is a malignant tumor with a high recurrence rate and poor prognosis. These cases may provide useful information to improve the diagnosis and management of PCLMS.

[Drought and Heat Stress-Mediated Modulation of Alternative Splicing in the Genes Involved in Biosynthesis of Metabolites Related to Tea Quality].

Alternative splicing (AS) regulates mRNAs at the post-transcriptional level to affect both their amounts and the protein function. However, little is known about the roles of AS in regulation of biosynthesis of amino acids, flavonoids, and volatile compounds in tea plants. In this study, we used Iso-seq and transcriptome deep sequencing (RNA-seq) to identify AS events, and analyzed the expression of respective mRNAs in tea plants under drought (DS), heat stress (HS), and their combination (HD). By RT-PCR, we validated the AS events in nine genes involved in the biosynthesis of amino acids and flavonoids. The genes accumulating AS transcripts under DS, HS, and HD conditions included those encoding for anthocyanidin reductase (ANR), dihydrofavonol-4-reductase-like (DFRA), and chalcone isomerase (CHI). Similarly, genes directly or indirectly involved in the biosynthesis of volatile compounds such as lipoxygenase (LOX), terpenoid/terpene synthase (TPS), and 1-deoxy-D-xylulose 5-phosphate reductoisomerase (DXR) also had AS events. Our study revealed that AS might specifically regulate the biosynthesis of amino acids in tea plants under stressful conditions. Moreover, we suggest that the AS events within the ANR and DFRA transcripts might play an important role in the regulation of flavonoid biosynthesis under DS, HS, and HD conditions. This study improved our understanding of the genetic drivers of the changes in the content of bioactive ingredients of tea plants subjected to abiotic stresses.