Objective To identify risk factors associated with lymphatic leakage after laparoscopic radical prostatectomy(LRP)and to develop a machine learning-based nomogram for predicting such outcomes to support clinical prevention strategies.Methods We retrospectively analyzed perioperative data from 248 patients who underwent radical prostatectomy for prostate cancer between January 2020 and January 2024.Independent risk factors were identified through univariate and multivariate logistic regression analyses.A predictive model was developed,and its diagnostic performance was assessed by the area under the receiver operating characteristic curve(AUC).Five-fold cross-validation was performed to evaluate the model's generalizability.A nomogram was subsequently constructed to facilitate individualized risk quantification.Results Among the 248 patients,89(35.9%)developed lymphatic leakage,while 159(64.1%)did not.Independent risk factors for lymphatic leakage included intraopera-tive lymph node dissection(OR=5.415,95%CI:2.167～13.532,P<0.001),intraoperative plasma transfusion(OR=2.952,95%CI:1.524～5.718,P=0.001),and postoperative fasting duration of≥2 days(OR=1.412,95%CI:1.089～1.829,P=0.009).The predictive model showed good discrimination and calibration(AUC=0.711,95%CI:0.647～0.776,P<0.001;sensitivity:0.764;specificity:0.597).Model robustness was confirmed through five-fold cross-validation(training set AUC=0.822;test set AUC=0.829).The nomogram provided a clinically useful tool for quantifying individual risk of lymphatic leakage.Conclusions Intraoperative lymph node dissection,plasma transfusion,and postoperative fasting lasting≥2 days are independent risk factors for lymphatic leakage following radical prostatectomy.The validated predictive model demonstrates favorable clinical utility.

Objective To identify risk factors associated with lymphatic leakage after laparoscopic radical prostatectomy(LRP)and to develop a machine learning-based nomogram for predicting such outcomes to support clinical prevention strategies.Methods We retrospectively analyzed perioperative data from 248 patients who underwent radical prostatectomy for prostate cancer between January 2020 and January 2024.Independent risk factors were identified through univariate and multivariate logistic regression analyses.A predictive model was developed,and its diagnostic performance was assessed by the area under the receiver operating characteristic curve(AUC).Five-fold cross-validation was performed to evaluate the model's generalizability.A nomogram was subsequently constructed to facilitate individualized risk quantification.Results Among the 248 patients,89(35.9%)developed lymphatic leakage,while 159(64.1%)did not.Independent risk factors for lymphatic leakage included intraopera-tive lymph node dissection(OR=5.415,95%CI:2.167～13.532,P<0.001),intraoperative plasma transfusion(OR=2.952,95%CI:1.524～5.718,P=0.001),and postoperative fasting duration of≥2 days(OR=1.412,95%CI:1.089～1.829,P=0.009).The predictive model showed good discrimination and calibration(AUC=0.711,95%CI:0.647～0.776,P<0.001;sensitivity:0.764;specificity:0.597).Model robustness was confirmed through five-fold cross-validation(training set AUC=0.822;test set AUC=0.829).The nomogram provided a clinically useful tool for quantifying individual risk of lymphatic leakage.Conclusions Intraoperative lymph node dissection,plasma transfusion,and postoperative fasting lasting≥2 days are independent risk factors for lymphatic leakage following radical prostatectomy.The validated predictive model demonstrates favorable clinical utility.

Objective:To explore the clinical value of plasma von Willebrand factor antigen(VWF:Ag)and VWF activity(VWF:GPIbM)based on ABO blood group in the risk assessment of deep vein thrombosis(DVT).Methods:A total of 163 patients with DVT who sought medical treatment from March 2021 to December 2022 were selected as the case group,and 135 healthy volunteers during the same period were selected as the control group.The differences of ABO blood groups,plasma VWF:Ag and VWF:GPIbM levels between the two groups were compared.Receiver operating characteristic(ROC)curves were used to evaluate the clinical value of VWF testing in predicting DVT events.Logistic regression analysis was applied to identify risk factors for DVT.Results:The levels of plasma VWF:Ag and VWF:GPIbM in the DVT group were significantly higher than those in the control group both overall and across ABO blood type subgroups(P＜0.01).Within the DVT group,the levels of plasma VWF:Ag and VWF:GPIbM in patients with non-O blood type were significantly higher than those with blood type O[VWF:Ag:219.74％±63.64％vs 162.21％±56.03％,P＜0.01;VWF:GPIbM:228.10％(185.15％,249.10％)vs 148.25％(116.48％,225.48％),P＜0.01].The area under the ROC curve(AUC)of VWF:Ag for predicting DVT events was 0.855,with a cut-off value of 142.4％,sensitivity of 82.2％and specificity of 72.6％;the AUC of VWF:GPIbM was 0.861,with a cut-off value of 141.2％,sensitivity of 84.7％,and specificity of 71.1％.Univariate analysis showed that both VWF:Ag and VWF:GPIbM were influencing factors for DVT events(P＜0.05).Multivariate logistic regression analysis indicated that VWF:Ag＞142.4％(OR=13.961,95％CI:7.654-25.464,P＜0.01)and VWF:GPIbM＞141.2％(OR=17.615,95％CI:9.155-33.892,P＜0.01)were independent risk factors for DVT events.Conclusion:Levels of VWF:Ag and VWF:GPIbM are significantly elevated in non-O blood type DVT patients.VWF:Ag＞142.4％and VWF:GPIbM＞141.2％are independent risk factors for DVT events.VWF testing based on ABO blood group aids in the precision prevention and control of DVT.

Objective:To explore the clinical value of plasma von Willebrand factor antigen(VWF:Ag)and VWF activity(VWF:GPIbM)based on ABO blood group in the risk assessment of deep vein thrombosis(DVT).Methods:A total of 163 patients with DVT who sought medical treatment from March 2021 to December 2022 were selected as the case group,and 135 healthy volunteers during the same period were selected as the control group.The differences of ABO blood groups,plasma VWF:Ag and VWF:GPIbM levels between the two groups were compared.Receiver operating characteristic(ROC)curves were used to evaluate the clinical value of VWF testing in predicting DVT events.Logistic regression analysis was applied to identify risk factors for DVT.Results:The levels of plasma VWF:Ag and VWF:GPIbM in the DVT group were significantly higher than those in the control group both overall and across ABO blood type subgroups(P＜0.01).Within the DVT group,the levels of plasma VWF:Ag and VWF:GPIbM in patients with non-O blood type were significantly higher than those with blood type O[VWF:Ag:219.74％±63.64％vs 162.21％±56.03％,P＜0.01;VWF:GPIbM:228.10％(185.15％,249.10％)vs 148.25％(116.48％,225.48％),P＜0.01].The area under the ROC curve(AUC)of VWF:Ag for predicting DVT events was 0.855,with a cut-off value of 142.4％,sensitivity of 82.2％and specificity of 72.6％;the AUC of VWF:GPIbM was 0.861,with a cut-off value of 141.2％,sensitivity of 84.7％,and specificity of 71.1％.Univariate analysis showed that both VWF:Ag and VWF:GPIbM were influencing factors for DVT events(P＜0.05).Multivariate logistic regression analysis indicated that VWF:Ag＞142.4％(OR=13.961,95％CI:7.654-25.464,P＜0.01)and VWF:GPIbM＞141.2％(OR=17.615,95％CI:9.155-33.892,P＜0.01)were independent risk factors for DVT events.Conclusion:Levels of VWF:Ag and VWF:GPIbM are significantly elevated in non-O blood type DVT patients.VWF:Ag＞142.4％and VWF:GPIbM＞141.2％are independent risk factors for DVT events.VWF testing based on ABO blood group aids in the precision prevention and control of DVT.

Objective To analyze correlation of endolymphatic hydrops (EH) in the inner ear with age in Meniere’s disease (MD) patients. Methods A retrospective analysis were underwent in 101 definite unilateral MD patients. They were divided into young-age (＜18 years old) group, middle-age (18-45 years old) group and elder-age (＞45 years old) group. All patients underwent inner ear three-dimensional inversion-recovery with real reconstruction (3D-real IR) imaging 4 hours after intravenous gadolinium injection. EH rates among different groups were compared. Results The positive rates of EH in the young-age group, middle-age group and elder-age group were 68.2% (15/22), 54.5% (18/33) and 56.5% (26/46), respectively (P＝0.567). There was no difference in the positive rates of EH in vestibule and cochlea among three groups. There was no difference in the rates of mild and significant EH in vestibule and cochlea among three groups. Conclusions Age might not be related to the occurrence of EH in the inner ear in MD patients.

This study explored the drying kinetics of Salviae Miltiorrhizae Radix et Rhizoma(SM), established the suitable models simulating the drying kinetics, and then analyzed the dynamic changes of active components during the drying processes with different methods, aiming to provide a basis for the establishment of suitable drying methods and the quality control of SM. The drying kinetics were studied based on the drying curve, drying rate, moisture effective diffusion coefficient, and drying activation energy, and the appropriate drying kinetics model of SM was established. The drying performance of different methods, such as hot air drying, infrared drying, and microwave drying of SM was evaluated, and the changes in the content of 10 salvianolic acids and 6 tanshinones during drying were analyzed by UPLC-TQ-MS. The Technique for Order Preference by Similarity to an Ideal Solution(TOPSIS) was employed to evaluate the quality of SM dried with different methods. The results showed that the drying rate and moisture effective diffusion coefficient of SM increased with the rise in drying temperature, and the maximum drying rates of different methods were in the order of microwave drying > infrared drying > hot air drying, slice > whole root. The drying rate decreased with the rise in temperature and the extension of drying time. The activation energy of hot air drying was higher than that of infrared drying in SM. The most suitable model for simulating the drying process of SM was the Page model. The TOPSIS results suggested infrared drying at 50 ℃ was the optimal drying method for SM. During the drying process, the content of salvianolic acids increased in different degrees with the loss of moisture, among which salvianolic acid B showed the largest increase of 44 times compared with that in the fresh medicinal material. Tanshinones also existed in the fresh herb of SM, and the content of tanshinone Ⅱ_A increased by 3 times after drying. The results provided a basis for the establishment of suitable drying methods and the quality control of SM.
Salvia miltiorrhiza/chemistry* ; Desiccation/methods* ; Drugs, Chinese Herbal/chemistry* ; Rhizome/chemistry* ; Kinetics ; Quality Control ; Abietanes

OBJECTIVE: To investigate the relationship between CDKN2A copy number deletion and clinical features of patients with diffuse large B-cell lymphoma (DLBCL) and its prognostic value. METHODS: 155 newly diagnosed DLBCL patients with complete clinical data in the Department of Hematology of People's Hospital of Xinjiang Uygur Autonomous Region from March 2009 to March 2022 were included, formalin-fixed paraffin-embedded tumor tissues were obtained and DNA was extracted from them, and next-generation sequencing technology was applied to target sequencing including 475 lymphoma-related genes, the relationship between CDKN2A copy number deletion and clinical features, high-frequency mutated genes and overall survival (OS) of DLBCL patients were analyzed. RESULTS: CDKN2A copy number deletion was present in 12.9% (20/155) of 155 DLBCL patients, grouped according to the presence or absence of copy number deletion of CDKN2A, and a higher proportion of patients with IPI≥3 were found in the CDKN2A copy number deletion group compared to the group with no CDKN2A copy number deletion (80% vs 51.5%, P =0.015) and were more likely to have bulky disease (20% vs 5.2%, P =0.037). Survival analysis showed that the 5-year OS of patients in the CDKN2A copy number deletion group was significantly lower than that of the non-deletion group (51.3% vs 69.2%, P =0.047). Multivariate Cox analysis showed that IPI score≥3 (P =0.007), TP53 mutation (P =0.009), and CDKN2A copy number deletion (P =0.04) were independent risk factors affecting the OS of DLBCL patients. CONCLUSION CDKN2A copy number deletion is an independent risk factor for OS in DLBCL, and accurate identification of CDKN2A copy number deletion can predict the prognosis of DLBCL patients.
Humans ; Lymphoma, Large B-Cell, Diffuse/genetics* ; Prognosis ; Cyclin-Dependent Kinase Inhibitor p16/genetics* ; DNA Copy Number Variations ; Female ; Male ; Middle Aged ; Gene Deletion ; Adult ; Aged

Objective:To explore the CT and MRI features of Rosai-Dorfman disease (RDD) in nasal cavity and paranasal sinus.Methods:The study was a cross-sectional study. From July 2007 to August 2023, the imaging findings of 23 patients with pathologically confirmed sinonasal RDD were retrospectively analyzed in the Eye & ENT Hospital of Fudan University. Among 23 patients, there were nine males and 14 females with 44±16 years old. Imaging features including tumor location, the extent, density, signal, enhancement pattern of tumors, bone change, abnormal lesions in peripheral lymph nodes and other regions were recorded. The apparent diffusion coefficient (ADC) value of lesions in patients performed diffusion weighted imaging (DWI) were measured.Results:For the 23 cases, totally 20 patients showed bilateral sinonasal involvement and three patients had unilateral lesions. Totally nine patients had lesions confined to the nasal cavity and paranasal sinuses, and 14 patients had lesions with extrasinonasal invasion, including orbit (6 cases), nasolacrimal duct (9 cases), anterior skull base (3 cases), nasal dorsum subcutaneous tissue (2 cases) and hard palate (1 case). Soft tissue lesions on the posterior wall of the subglottic trachea were found in 2 cases and intracranial lesions were found in 1 case. Totally 10 patients were accompanied by lymph nodes enlargement. The lesions showed isodense on all 20 non-contrast enhanced CT images, and mild enhancement in three cases, moderate enhancement in seven cases and significant enhancement in seven cases on CT enhancement images. Bone changes were found in 19 of 20 patients on CT, showing mild bone destruction in five cases and bone destruction with hyperplasia in 14 cases. The lesions showed isointense on T 1WI in all 14 cases. The lesions were graded as isointense in nine cases, hypointense in four cases and hyperintense in one case on T 2WI. The lesions displayed moderate to obvious homogeneous enhancement on enhanced MRI. The lesions showed significant diffusion limitation and ADC value was (0.66±0.08)×10 -3 mm 2/s in 11 cases on DWI. Conclusions:The CT and MRI imaging characteristics of sinonasal RDD are diffuse masses on both sides of nasal cavity and paranasal sinuses, accompanied by bone hyperplasia. The lesions show isointense or hypointense on T 2WI, and may involve adjacent tissues and may be accompanied by lymph nodes enlargement in the retropharyngeal and neck.

Objective:To explore the CT and MRI features of Rosai-Dorfman disease (RDD) in nasal cavity and paranasal sinus.Methods:The study was a cross-sectional study. From July 2007 to August 2023, the imaging findings of 23 patients with pathologically confirmed sinonasal RDD were retrospectively analyzed in the Eye & ENT Hospital of Fudan University. Among 23 patients, there were nine males and 14 females with 44±16 years old. Imaging features including tumor location, the extent, density, signal, enhancement pattern of tumors, bone change, abnormal lesions in peripheral lymph nodes and other regions were recorded. The apparent diffusion coefficient (ADC) value of lesions in patients performed diffusion weighted imaging (DWI) were measured.Results:For the 23 cases, totally 20 patients showed bilateral sinonasal involvement and three patients had unilateral lesions. Totally nine patients had lesions confined to the nasal cavity and paranasal sinuses, and 14 patients had lesions with extrasinonasal invasion, including orbit (6 cases), nasolacrimal duct (9 cases), anterior skull base (3 cases), nasal dorsum subcutaneous tissue (2 cases) and hard palate (1 case). Soft tissue lesions on the posterior wall of the subglottic trachea were found in 2 cases and intracranial lesions were found in 1 case. Totally 10 patients were accompanied by lymph nodes enlargement. The lesions showed isodense on all 20 non-contrast enhanced CT images, and mild enhancement in three cases, moderate enhancement in seven cases and significant enhancement in seven cases on CT enhancement images. Bone changes were found in 19 of 20 patients on CT, showing mild bone destruction in five cases and bone destruction with hyperplasia in 14 cases. The lesions showed isointense on T 1WI in all 14 cases. The lesions were graded as isointense in nine cases, hypointense in four cases and hyperintense in one case on T 2WI. The lesions displayed moderate to obvious homogeneous enhancement on enhanced MRI. The lesions showed significant diffusion limitation and ADC value was (0.66±0.08)×10 -3 mm 2/s in 11 cases on DWI. Conclusions:The CT and MRI imaging characteristics of sinonasal RDD are diffuse masses on both sides of nasal cavity and paranasal sinuses, accompanied by bone hyperplasia. The lesions show isointense or hypointense on T 2WI, and may involve adjacent tissues and may be accompanied by lymph nodes enlargement in the retropharyngeal and neck.

Objective A deep learning-based method for evaluating the quality of pediatric pelvic X-ray images is proposed to construct a diagnostic model and verify its clinical feasibility.Methods Three thousand two hundred and forty-seven children with anteroposteric pelvic radiographs are retrospectively collected and randomly divided into training datasets,validation datasets and test datasets.Artificial intelligence model is conducted to evaluate the reliability of quality control model.Results The diagnostic accuracy,area under ROC curve,sensitivity and specificity of the model are 99.4%,0.993,98.6%and 100.0%,respectively.The 95%consistency limit of the pelvic tilt index of the model is-0.052-0.072.The 95%consistency threshold of pelvic rotation index is-0.088-0.055.Conclusion This is the first attempt to apply AI algorithm to the quality assessment of children's pelvic radiographs,and has significantly improved the diagnosis and treatment status of DDH in children.