OBJECTIVE: To explore the clinical significance of circulating tumor DNA (ctDNA) in response evaluation and relapse monitoring for patients with primary mediastinal large B-cell lymphoma (PMBCL). METHODS: The clinical characteristics, efficacy and survival of 38 PMBCL patients in our hospital from January 2010 to April 2020 were retrospectively analyzed. The ctDNA monitoring was conducted by targeted next-generation sequencing (NGS). RESULTS: Among the 38 patients, 26 cases were female, and 32 cases were diagnosed with Ann Arbor stage I-II. The 5-year overall survival (OS) rate and progression-free survival (PFS) rate were 74.7% and 61.7%, respectively. Males and those with high aaIPI scores (3 points) had a relatively poor prognosis. The NGS results of 23 patients showed that STAT6 (65.2%), SOCS1 (56.5%), and TNFAIP3 (56.5%) were the most common mutated genes. Patients with stable disease (SD)/progressive disease (PD) exhibited enrichment in cell cycle, FoxO, and TNF signaling pathways. A total of 29 patients underwent end-of-treatment PET/CT (EOT PET/CT), and 16 of them received ctDNA monitoring with 12 negative. Among 6 patients with EOT PET/CT positive (Deauville 4), 4 underwent ctDNA monitoring, and 3 of them were negative, being still in continuous remission without any subsequent anti-tumor therapy. CONCLUSION CtDNA may be combined with PET/CT to assess efficacy, monitor relapse, and guide treatment of PMBCL.
Humans ; Circulating Tumor DNA/blood* ; Female ; Mediastinal Neoplasms ; Male ; Retrospective Studies ; High-Throughput Nucleotide Sequencing ; Prognosis ; Lymphoma, Large B-Cell, Diffuse/genetics* ; Middle Aged ; Adult ; Aged ; Neoplasm Recurrence, Local ; Mutation

BACKGROUND: Early control of low-density lipoprotein cholesterol (LDL-C) is crucial for reducing the progress of cardiovascular disease. However, its additional role to the risk of primary osteoporosis in men with coronary heart disease was inconclusive. Our study aims to determine the association of LDL-C and its trajectories for osteoporosis risk in the middle-aged and aged men of China. METHODS: The retrospective cohort study of 1546 men aged 69.74 ± 11.30 years conducted in Beijing, China from 2015 to 2022. And the incidence of primary osteoporosis was annually recorded. LDL-C trajectories were further identified by latent class growth model using repeated measurements of LDL-C. The association of baseline LDL-C for osteoporosis was estimated using hazard ratio (HR) with 95% CI in Cox proportional hazard model, while mean level and trajectories of LDL-C for osteoporosis were evaluated using odds ratio (OR) with 95% CI in logistic regression model. RESULTS: During the median 6.2-year follow-up period, 70 men developed primary osteoporosis. The higher level of baseline LDL-C (HR = 1.539, 95% CI: 1.012-2.342) and mean LDL-C (OR = 2.190, 95% CI: 1.443-3.324) were associated with higher risk of osteoporosis in men with coronary heart disease after adjusted for covariates. Compared with those in the LDL-C trajectory of low-stable decrease, participants with medium-fluctuant trajectory, whose longitudinal LDL-C started with a medium LDL-C level and appeared an increase and then decrease, were negatively associated with osteoporosis risk (OR = 2.451, 95% CI: 1.152-5.216). And participants with initially high LDL-C level and then a rapid decrease demonstrated a tendency towards reduced risk (OR = 0.718, 95% CI: 0.212-2.437). CONCLUSIONS Elevated LDL-C level and its long-term fluctuation may increase the risk of primary osteoporosis in men. Early controlling a stable level of LDL-C is also essential for bone health.

[This corrects the article DOI: 10.11909/j.issn.1671-5411.2017.08.005.].

Apical microsurgery is accurate and minimally invasive, produces few complications, and has a success rate of more than 90%. However, due to the lack of awareness and understanding of apical microsurgery by dental general practitioners and even endodontists, many clinical problems remain to be overcome. The consensus has gathered well-known domestic experts to hold a series of special discussions and reached the consensus. This document specifies the indications, contraindications, preoperative preparations, operational procedures, complication prevention measures, and efficacy evaluation of apical microsurgery and is applicable to dentists who perform apical microsurgery after systematic training.
Microsurgery/standards* ; Humans ; Apicoectomy ; Contraindications, Procedure ; Tooth Apex/diagnostic imaging* ; Postoperative Complications/prevention & control* ; Consensus ; Treatment Outcome

OBJECTIVE: Coronavirus disease 2019 (COVID-19) can result in fatigue and post-exertional malaise; however, whether severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection exacerbates lower urinary tract symptoms (LUTS) is unclear. This study investigated the association between prenatal SARS-CoV-2 infection and postpartum LUTS. METHODS: A multicenter, retrospective cohort study was conducted at two tertiary hospitals in China from November 1, 2022, to November 1, 2023. Participants were classified into infected and uninfected groups based on SARS-CoV-2 antigen results. LUTS prevalence and severity were assessed using self-reported symptoms and the Incontinence Impact Questionnaire-Short Form (IIQ-7). Pelvic floor muscle activity was measured using electromyography following the Glazer protocol. Group comparisons were performed to evaluate the association of SARS-CoV-2 infection with LUTS and electromyography parameters, with stratified analyses conducted using SPSS version 26.0. RESULTS: Among 3,652 participants (681 infected, 2,971 uninfected), no significant differences in LUTS prevalence or IIQ-7 scores were observed. However, SARS-CoV-2 infection was an independent factor influencing the electromyographic activity of the pelvic floor muscles (mean tonic contraction amplitudes), regardless of delivery mode ( P = 0.001). CONCLUSION Prenatal SARS-CoV-2 infection was not significantly associated with an increased risk of postpartum LUTS but independently altered pelvic floor muscle electromyographic activity, suggesting potential neuromuscular effects.
Humans ; Female ; COVID-19/epidemiology* ; Retrospective Studies ; Adult ; Pregnancy ; Lower Urinary Tract Symptoms/virology* ; Postpartum Period ; Pregnancy Complications, Infectious/virology* ; China/epidemiology* ; Electromyography ; SARS-CoV-2/physiology* ; Pelvic Floor/physiopathology* ; Prevalence

Objective:To investigate a novel coating technology for artificial blood vessel pipelines, conducting preliminary tests on the mechanical stability, hemocompatibility, and biocompatibility of the coating.Methods:The polyester braided artificial blood vessels produced by Terumo Corporation were subjected to three different experimental treatments and divided into three groups. Model group: The uncoated artificial blood vessels were thoroughly cleaned and freeze-dried. Experimental group: The artificial blood vessels were first immersed in a dopamine solution to form a polydopamine(PDA) coating on their surface, and then further immersed in an earthworm active protein/gelatin(EWAP/GT) solution to create PDA/GT/EWAP-modified artificial blood vessels. Collagen group: The untreated polyester woven artificial blood vessels served as the control. The study detailed the characterization, porosity, water permeability, degradation rate, blood compatibility, and cytotoxicity of the PDA/GT/EWAP-coated artificial blood vessels. Additionally, a 2-week in vivo study was conducted to evaluate the biocompatibility of the PDA/GT/EWAP-coated artificial blood vessels implanted subcutaneously in SD rats.Results:The PDA/GT/EWAP-coated artificial vascular grafts were successfully fabricated. The artificial blood vessels in the PDA/GT/EWAP group exhibited a porosityof(50.53±1.10)%, with water permeability showing a gradual decreasing trend over time. The overall in vitro degradation rate at 4 weeks was(1.83±0.08)%, and the PDA/GT/EWAP group demonstrated favorable mechanical stability. The activated partial thromboplastin time(APTT) of the PDA/GT/EWAP group was(26.30±0.46)s, the thrombin time(TT) was(18.83±0.49)s, the hemolysis rate was(2.15±0.09)%, and the plasma recalcification time(PRT) was(191.00±10.54)s, indicating excellent blood compatibility and anticoagulant properties. MTT assay evaluation of the PDA/GT/EWAP group revealed no significant cytotoxicity. After subcutaneous implantation of vascular samples in rats for 2 weeks, analysis of blood immune parameters and hematoxylin-eosin(HE) staining of the artificial vascular samples showed that the immune response in the PDA/GT/EWAP group exhibited no significant difference compared to the collagen group and was superior to the model group. Conclusion.Conclusion:The PDA/GT/EWAP composite-coated artificial blood vessel demonstrates excellent mechanical properties, good hemocompatibility, biocompatibility, and low cytotoxicity. It also shows remarkable stability. This research offers a new approach for domestic technological breakthroughs in related fields.

Objective To establish a rapid,sensitive,and specific multiplex PCR detection method for the simultaneous detection of Cryptosporidium,Eimeria,and bovine parvovirus.Methods Specific primers targeting the SSU rRNA genes of Cryptosporidium and Eimeria,as well as the VP2 gene of bovine parvovirus were designed and the corresponding recombinant plasmid standards were constructed.To establish the multiplex PCR method,the reaction conditions were optimized using temperature gradient PCR and single-variable control methods.The sensitivity,specificity,reproducibility,and clinical application of the protocol were evaluated.Results The optimal annealing temperature was found to be 60.5℃,and the forward and reverse primer concentrations were determined to be 0.2 μmol/L for Eimeria,and 0.4 μmol/L for Cryptosporidium and bovine parvovirus.The assay demonstrated high sensitivity,with detection limits of 243,260,and 3 110 copies for the recombinant plasmid standards of Cryptosporidium,Eimeria,and bovine parvovirus,respectively.Specificity testing showed no cross-reactivity with ten common bovine pathogens,including Salmonella,bovine viral diarrhea virus,and bovine rotavirus.Consistent intra-and inter-batch results confirmed the strong reproducibility of the method.Clinical application to 81 diarrhea samples from various regions in the Ganzi Prefecture,Sichuan,revealed positivity rates of 18.52%(15/81)for Cryptosporidium,34.57%(28/81)for Eimeria,and 18.52%(15/81)forbovineparvovirus,withamixedinfectionrateof3.7%(3/81).Conclusions Themultiplex PCR method established in this study offers a reliable tool for differential diagnosis and epidemiological investigation of the three common diarrheal pathogens in yaks.

Objective:To apply artificial intelligence（AI）in classifying ovarian tumors on ultrasound images，and compare the diagnostic results of several sonographers with varying seniority levels.Methods:A total of 645 patients diagnosed with adnexal masses via gynecological ultrasound examination at Qilu Hospital of Shandong University from January 2021 to December 2024 were enrolled. Three deep learning architectures，i.e.，Alexnet，Densenet121，and Resnet50 were developed and used to internally test the classification effectiveness of ovarian tumors，while the optimal model was selected for external testing. Two junior sonographers and two senior sonographers were recruited to independently diagnose ovarian tumors in the external test dataset. Subsequently，the benign and malignant results of the model's predictions were disclosed to each sonographer，and their revised diagnoses on the same external test data in combination with the best AI model were recorded.Results:The optimal model achieved an accuracy of 0.941，sensitivity of 0.936，and specificity of 0.944 on the internal test dataset，and maintained robust performance on the external test dataset with accuracy of 0.891，sensitivity of 0.880，and specificity of 0.907. Compared to junior sonographers，the optimal model demonstrated significantly higher sensitivity in discriminating benign from malignant ovarian tumors（0.880 vs. 0.723，0.602；all P<0.05）. No statistically significant difference was observed in diagnostic accuracy between the optimal model and senior sonographer 1（ P=0.05）. With assistance from the optimal model，junior sonographers achieved significant improvements in both sensitivity and specificity（sensitivity：0.723 vs. 0.843，0.602 vs. 0.819；specificity：0.778 vs. 0.833，0.685 vs. 0.741；all P<0.05）. Conclusions:The optimal model achieves comparable performance to that of senior sonographers in ovarian tumor classification. With model assistance，the diagnostic performance of junior sonographers is significantly improved.

Objective:To investigate a novel coating technology for artificial blood vessel pipelines, conducting preliminary tests on the mechanical stability, hemocompatibility, and biocompatibility of the coating.Methods:The polyester braided artificial blood vessels produced by Terumo Corporation were subjected to three different experimental treatments and divided into three groups. Model group: The uncoated artificial blood vessels were thoroughly cleaned and freeze-dried. Experimental group: The artificial blood vessels were first immersed in a dopamine solution to form a polydopamine(PDA) coating on their surface, and then further immersed in an earthworm active protein/gelatin(EWAP/GT) solution to create PDA/GT/EWAP-modified artificial blood vessels. Collagen group: The untreated polyester woven artificial blood vessels served as the control. The study detailed the characterization, porosity, water permeability, degradation rate, blood compatibility, and cytotoxicity of the PDA/GT/EWAP-coated artificial blood vessels. Additionally, a 2-week in vivo study was conducted to evaluate the biocompatibility of the PDA/GT/EWAP-coated artificial blood vessels implanted subcutaneously in SD rats.Results:The PDA/GT/EWAP-coated artificial vascular grafts were successfully fabricated. The artificial blood vessels in the PDA/GT/EWAP group exhibited a porosityof(50.53±1.10)%, with water permeability showing a gradual decreasing trend over time. The overall in vitro degradation rate at 4 weeks was(1.83±0.08)%, and the PDA/GT/EWAP group demonstrated favorable mechanical stability. The activated partial thromboplastin time(APTT) of the PDA/GT/EWAP group was(26.30±0.46)s, the thrombin time(TT) was(18.83±0.49)s, the hemolysis rate was(2.15±0.09)%, and the plasma recalcification time(PRT) was(191.00±10.54)s, indicating excellent blood compatibility and anticoagulant properties. MTT assay evaluation of the PDA/GT/EWAP group revealed no significant cytotoxicity. After subcutaneous implantation of vascular samples in rats for 2 weeks, analysis of blood immune parameters and hematoxylin-eosin(HE) staining of the artificial vascular samples showed that the immune response in the PDA/GT/EWAP group exhibited no significant difference compared to the collagen group and was superior to the model group. Conclusion.Conclusion:The PDA/GT/EWAP composite-coated artificial blood vessel demonstrates excellent mechanical properties, good hemocompatibility, biocompatibility, and low cytotoxicity. It also shows remarkable stability. This research offers a new approach for domestic technological breakthroughs in related fields.

Objective:To apply artificial intelligence（AI）in classifying ovarian tumors on ultrasound images，and compare the diagnostic results of several sonographers with varying seniority levels.Methods:A total of 645 patients diagnosed with adnexal masses via gynecological ultrasound examination at Qilu Hospital of Shandong University from January 2021 to December 2024 were enrolled. Three deep learning architectures，i.e.，Alexnet，Densenet121，and Resnet50 were developed and used to internally test the classification effectiveness of ovarian tumors，while the optimal model was selected for external testing. Two junior sonographers and two senior sonographers were recruited to independently diagnose ovarian tumors in the external test dataset. Subsequently，the benign and malignant results of the model's predictions were disclosed to each sonographer，and their revised diagnoses on the same external test data in combination with the best AI model were recorded.Results:The optimal model achieved an accuracy of 0.941，sensitivity of 0.936，and specificity of 0.944 on the internal test dataset，and maintained robust performance on the external test dataset with accuracy of 0.891，sensitivity of 0.880，and specificity of 0.907. Compared to junior sonographers，the optimal model demonstrated significantly higher sensitivity in discriminating benign from malignant ovarian tumors（0.880 vs. 0.723，0.602；all P<0.05）. No statistically significant difference was observed in diagnostic accuracy between the optimal model and senior sonographer 1（ P=0.05）. With assistance from the optimal model，junior sonographers achieved significant improvements in both sensitivity and specificity（sensitivity：0.723 vs. 0.843，0.602 vs. 0.819；specificity：0.778 vs. 0.833，0.685 vs. 0.741；all P<0.05）. Conclusions:The optimal model achieves comparable performance to that of senior sonographers in ovarian tumor classification. With model assistance，the diagnostic performance of junior sonographers is significantly improved.