Objective:To study the expression levels and clinical significance of thyroid transcription factor-1(TTF-1) and galectin-3 in pleural fluid sediment embedded tissues of lung adenocarcinoma patients.Methods:A study was conducted on the clinical data of 82 lung cancer patients who received treatment at the First People′s Hospital of Anqing City from March 2020 to December 2022. According to the type of lung adenocarcinoma, they were divided into metastatic lung adenocarcinoma group (16 cases) and primary lung adenocarcinoma group (66 cases). The expression of levels TTF-1 and galectin-3 were compared between the two groups. Immunohistochemical method was used to detect the expression levels of TTF-1 and galectin-3 in pleural fluid sediment embedded tissues and their clinical significance was analyzed.Results:The positive rate of TTF-1 in primary lung adenocarcinoma group was higher than that in metastatic lung adenocarcinoma group: 77.27%(51/66) vs. 2/16, there was statistical difference ( χ2 = 23.64, P<0.01). The positive rate of galectin-3 in primary adenocarcinoma group was lower than that in metastatic adenocarcinoma group: 31.82%(21/66) vs. 13/16, there was statistical difference ( χ2 = 12.96, P<0.01). Galectin-3 and TTF-1 positive expressions were not correlated with the degree of tissue differentiation, lymph node metastasis and clinical stage of lung adenocarcinoma ( P>0.05). Conclusions:The expression level of TTF-1 increases and the expression level of galectin-3 decreases in the pleural fluid sediment embedded tissues of lung adenocarcinoma patients, the combined detection of TTF-1 and galectin-3 has important clinical application value in the diagnosis of primary lung adenocarcinoma cells and differential diagnosis of metastatic cancer.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

Neoadjuvant chemoradiotherapy has emerged as the standard treatment for locally advanced rectal cancer, esophageal cancer and gastroesophageal junction cancer which can not only improve the rate of local control but also induce pathological complete response in some patients. For patients who have achieved clinical complete response after neoadjuvant therapy, the watch & wait strategy and organ preservation could reduce unnecessary surgery and minimize the risk of postoperative complications, meanwhile greatly improve patients' quality of life without affecting the oncologic outcome. At present, a variety of methods, including white light endoscopy, endoscopic forceps biopsy, image enhanced endoscopy, endoscopic ultrasound, endoscopic ultrasound guided fine needle aspiration, endoscopic submucosal dissection, artificial intelligence assisted technology, etc., have become important assistance for the evaluation of tumor response after neoadjuvant chemoradiotherapy and have been widely used in clinical practice. This review will briefly introduce the application of the endoscopic approaches mentioned above and some novel endoscopic techniques and developing trends in response evaluation for patients with locally advanced rectal cancer, esophageal cancer and gastroesophageal junction cancer patients receiving neoadjuvant chemoradiotherapy.

Purpose To investigate the clinical pathologic features of five SMARCA4-deficient non-small lung cancers(SMARCA4-dNSCLCs).Methods Five cases of SMARCA4-dNSCLC was underwent by HE,immunohistochemical staining,and molecular detection,analyzed their clinicopathological char-acteristics and reviewed relevant literatures.Results All 5 ca-ses were male,and mean age was 66 years.Five patients had a history of smoking,three patients were treated with cough and blood in sputum as the first symptom,one was treated with a history of pulmonary tuberculosis combined with limb mobility disorder,and one was diagnosed with pulmonary nodules by physical examination.Under microscopic observation,tumor cells were poorly differentiated,with solid nest sheet distribu-tion,some with glandular structure,tumor cells had abundant e-osinophilic or transparent cytoplasm,vacuolar nuclear chroma-tin,nucleoli was visible,and nuclear mitosis was common.In-flammatory cell infiltration and sheet of necrosis were seen in the stroma.Immunohistochemical staining showed 5/5 diffuse ex-pression of CK(AE1/AE3)and CK7,5/5 loss expression of BRG1,1/5 diffuse expression of p40 and CK5/6,and Ki67 proliferating index ranged from 20％to 90％.FISH tests showed that 4/4 SMARCA4 genes missed.Five patients were followed up for 2-15 months,3 patients died and 2 patients survived.Conclusions SMARCA4-dNSCLC can have extensive morphologi-cal features,high degree of malignancy,and complicated treat-ment.BRG1 deficiency is helpful for diagnosis.Deepening the understanding of SMARCA4-dNSCLC can help the clinical cor-rect choice of treatment strategies and accurately evaluate patient prognosis.

Neoadjuvant chemoradiotherapy has emerged as the standard treatment for locally advanced rectal cancer, esophageal cancer and gastroesophageal junction cancer which can not only improve the rate of local control but also induce pathological complete response in some patients. For patients who have achieved clinical complete response after neoadjuvant therapy, the watch & wait strategy and organ preservation could reduce unnecessary surgery and minimize the risk of postoperative complications, meanwhile greatly improve patients' quality of life without affecting the oncologic outcome. At present, a variety of methods, including white light endoscopy, endoscopic forceps biopsy, image enhanced endoscopy, endoscopic ultrasound, endoscopic ultrasound guided fine needle aspiration, endoscopic submucosal dissection, artificial intelligence assisted technology, etc., have become important assistance for the evaluation of tumor response after neoadjuvant chemoradiotherapy and have been widely used in clinical practice. This review will briefly introduce the application of the endoscopic approaches mentioned above and some novel endoscopic techniques and developing trends in response evaluation for patients with locally advanced rectal cancer, esophageal cancer and gastroesophageal junction cancer patients receiving neoadjuvant chemoradiotherapy.

Objective To investigate the value of thrombomodulin(TM),thrombin-antithrombin complex(TAT),α2 plasmin inhibitor-plasmin complex(PIC)and tissue plasminogen activator-inhibitor complex(t-PAIC)in the diagnosis and prognosis of neonatal disseminated intravascular coagulation(DIC).Methods Eighty-seven DIC neonates(the observation group)were included and divided into the survival group(66 cases)and the death group(21 cases)based on their outcomes at discharge.And 50 healthy newborns born in the same period were selected as the control group.The clinical data of neonates were collected,and risk factors of neonatal DIC were analyzed by Logistic regression.The differences of TM,TAT,PIC and t-PAIC levels in different groups were analyzed.The receiver operating characteristic(ROC)curve was used to analyze values of TM,TAT,PIC and t-PAIC in the diagnosis and prognosis of neonatal DIC.Results The incidence of low Apgar score,birth asphyxia,IVH,sepsis and maternal pregnancy induced hypertension syndrome(PIH)were higher in the observation group than those in the control group(P＜0.05).Multivariate Logistic regression analysis showed that low Apgar score,birth asphyxia,sepsis and PIH were independent risk factors for neonatal DIC.TM,TAT,PIC and t-PAIC levels were higher in the observation group than those in the control group(P＜0.05).ROC curve showed that the combined diagnosis value of TM,TAT,PIC and t-PAIC was better than that of single diagnosis of neonatal DIC.TM and TAT levels were higher in the death group than those in the survival group(P＜0.05),and there were no significant differences in PIC and t-PAIC levels between the two groups.Multivariate Logistic regression analysis showed that elevated TAT level was an independent risk factor for neonatal DIC prognosis.ROC curve showed that when TAT was 21.72 μg/L,the area under the curve for predicting neonatal DIC prognosis was 0.772(95%CI:0.666-0.878),and the sensitivity and specificity were 76.2%and 71.2%,respectively.Conclusion The combined application of TM,TAT,PIC and t-PAIC has important clinical value in diagnosis and prognosis evaluation of neonatal DIC.

BACKGROUND:At present,a large number of studies have found that Liuwei Dihuang Pill can be used to treat osteoporosis,but there are few related studies on the differentiation and mineralization of osteoblasts induced by wear particles using Liuwei Dihuang Pill. OBJECTIVE:To investigate the positive effect of different concentrations of Liuwei Dihuang Pill-containing serum on titanium particle-induced mouse MC3T3-E1 osteoblast in vitro osteolysis model. METHODS:Drug-containing serum was extracted after oral administration of Liuwei Dihuang Pill.The best concentration of Liuwei Dihuang Pill-containing serum and titanium particles on the viability of MC3T3-E1 cells was screened.MC3T3-E1 cells were divided into three groups.The blank group was given osteoblastic differentiation culture.The model group was given titanium particles(5 μg/mL)ossification culture.The drug-containing serum group was given titanium particles(5 μg/mL)+ Liuwei Dihuang Pill-containing serum(10%,15%and 20%doses).Osteoblast viability was detected by CCK-8 assay.Cell alkaline phosphatase activity was detected by alkaline phosphatase staining.Cell mineralization was detected by silver nitrate(Von Kossa)and alizarin red staining.Expression levels of bone differentiation-related genes Runx-2,Osterix,Ocn,Axin,Alp,and Opn were detected by qRT-PCR.Wnt/β-catenin signaling pathways β-catenin,p-GSK-3β,GSK-3β,Runx2 and Osterix protein expression levels were detected by western blot assay. RESULTS AND CONCLUSION:(1)Liuwei Dihuang Pill-containing serum culture reversed the decrease in alkaline phosphatase activity of MC3T3E-1 cells induced by titanium particles,increased the alizarin red staining and calcification of MC3T3E-1 cells,increased the expression of osteogenesis-related genes in MC3T3E-1 cells,and increased the expression of proteins related to the Wnt/β-catenin signaling pathway.(2)These findings indicate that Liuwei Dihuang Pill-containing serum can reverse the inhibitory effect of titanium particles on the differentiation and mineralization of osteoblasts,upregulate the expression of osteogenesis-related genes,and its mechanism is related to the regulation of Wnt/β-catenin signaling pathway,suggesting that Liuwei Dihuang Pill is expected to become an effective drug for preventing aseptic loosening of artificial joints.

Objective:To investigate the clinical value of deep learning model based on contrast enhanced ultrasound (CEUS) video in the differential diagnosis of benign and malignant liver tumors.Methods:Between May 2010 and June 2022, 1 213 patients who underwent CEUS examination for liver masses in the Affiliated Hospital of Southwest Medical University were retrospectively collected, and the enrolled patients were divided into training and independent test cohorts with December 31, 2021 as the time cut-off. In the training cohort, the TimeSformer algorithm was used as the infrastructure, and multiple fixed-time segments were obtained from CEUS arterial videos by using the sliding window of the video, and the classification results of the entire video were obtained after fusing the features of multiple segments, so as to build a deep learning model based on CEUS videos. In the independent test cohort, ROC curves were used to verify the validity of the model and compared with three radiologists with different CEUS experience (R1, R2, and R3, with 3, 6, and 10 years of CEUS experience, respectively).Results:A total of 1 213 patients with liver masses were included in the study, including 1 066 patients in the training cohort (426 cases of malignancy) and 147 patients in the independent test cohort (50 cases of malignancy). The area under curve (AUC)value of deep learning model was 0.93±0.01 in the training cohort and 0.89±0.01 in the independent test cohort, and the accuracy, sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) were 80.42%, 74.19%, 92.00%, 94.52% and 65.71%, respectively. Among the three radiologists, R1 had the lowest diagnostic performance, with accuracy, sensitivity, specificity, PPV and NPV of 67.83%, 51.61%, 98.00%, 97.96% and 52.13%, respectively, while the above indicators of R3 were 82.52%, 76.36%, 94.00%, 95.95% and 68.12%, respectively. McNemar′s test showed that the difference between R1 and the deep learning model was statistically significant ( P<0.001), while the differences between R2 and R3 and the deep learning model were not statistically significant ( P=0.720, 0.868). In addition, the analysis time of the model for a single case was (340.24±16.32)ms, while the average analysis time of radiologists was 62.9 s. Conclusions:The deep learning model based on CEUS can better identify benign and malignant liver masses, and may reach the diagnostic level of experienced radiologists.

ObjectiveTo investigate the association between ZJU index and the onset of nonalcoholic fatty liver disease （NAFLD） in the Uygur population and the value of ZJU index in predicting the risk of NAFLD. MethodsThe Uighur community of The 51st Regiment of The Third Division of Xinjiang Kashgar Corps was selected as the investigation site， and the Uygur residents who lived in this area and had an age of >18 years were selected as subjects. Follow-up studies were conducted in 2019， 2020， and 2021， and the investigation of outcomes was completed in June to August of 2021. Finally 10 597 subjects were enrolled for analysis. The Kruskal-Wallis H test was used for comparison of continuous variables between groups， and the chi-square test was used for comparison of categorical variables between groups. The subjects were divided into Q1-Q4 groups according to the level of ZJU index. The Kaplan-Meier curve was used to predict the incidence rate of NAFLD， and the Cox regression model was used to analyze the association between ZJU index and the risk of NAFLD； the area under the ROC curve （AUC） was used to evaluate the value of ZJU index in predicting the risk of NAFLD. ResultsDuring the median follow-up time of 4.92 years， the incidence rate of NAFLD was 9.4% （992/10 597） among the study population. After adjustment for multiple factors， there was a significant increase in the risk of NAFLD with the increase in ZJU index， with a hazard ratio of 2.55 （95% confidence interval ［CI］： 1.60‍ — ‍4.06）， 7.32 （95%CI： 4.78‍ — ‍11.20）， and 21.74 （95%CI： 14.32‍ — ‍33.00）， respectively （all P_trend<0.001）. The ROC curve showed that ZJU index had a higher value in predicting NAFLD （AUC=0.816）， and the male subgroup had a significantly higher predictive accuracy of ZJU index than the female subgroup （AUC： 0.829 vs 0.809）. ConclusionZJU index is a predictive factor for the onset of NAFLD in the Uygur population in rural areas of Xinjiang and has a good value in predicting the risk of NAFLD.

Objective:To evaluate the value of radiomics based on contrast-enhanced spectral mammography (CESM) of internal and peripheral regions combined with clinical factors in predicting benign and malignant breast lesions of breast imaging reporting and data system category 4 (BI-RADS 4).Methods:A retrospective analysis was performed on the clinical and imaging data of patients with breast lesions who were treated in Yantai Yuhuangding Hospital (Center 1) Affiliated to Qingdao University from July 2017 to July 2020 and in Fudan University Cancer Hospital (Center 2) from June 2019 to July 2020. Center 1 included 835 patients, all female, aged 17-80 (49±12) years, divided into training set (667 cases) and test set (168 cases) according to the "train-test-split" function in Python software at a ratio of 8∶2; and 49 patients were included from Center 2 as external validation set, all female, aged 34-70 (51±8) years. The radiomics features were extracted from the intralesional region (ITR), the perilesional regions of 5, 10 mm (PTR 5 mm, PTR10 mm) and the intra-and perilesional regions of 5, 10 mm (IPTR 5 mm, IPTR 10 mm) and were selected by variance filtering, SelectKBest algorithm, and least absolute shrinkage and selection operator. Then five radiomics signatures were constructed including ITR signature, PTR 5 mm signature, PTR 10 mm signature, IPTR 5 mm signature, IPTR 10 mm signature. In the training set, univariable and multivariable logistic regressions were used to construct nomograms by selecting radiomics signatures and clinical factors with significant difference between benign and malignant BI-RADS type 4 breast lesions. The efficacy of nomogram in predicting benign and malignant BI-RADS 4 breast lesions was evaluated by the receiver operating characteristic curve and area under the curve (AUC). Decision curve and calibration curve were used to evaluate the net benefit and calibration capability of the nomogram.Results:The nomogram included ITR signature, PTR 5 mm signature, PTR 10 mm signature, IPTR 5 mm signature, age, and BI-RADS category 4 subclassification for differentiating malignant and benign BI-RADS category 4 breast lesions and obtained AUCs of 0.94, 0.92, and 0.95 in the training set, test set, and external validation set, respectively. The calibration curve showed good agreement between the predicted probabilities and actual results and the decision curve indicated a good net benefit of the nomogram for predicting malignant BI-RADS 4 lesions in the training set, test set, and external validation set.Conclusion:The nomogram constructed from the radiomics features of the internal and surrounding regions of CESM breast lesions combined with clinical factors is attributed to differentiate benign from malignant BI-RADS category 4 breast lesions.