Objective To evaluate the diagnostic value of prostate health index(PHI)and prostate health index density(PHID)in identifying intermediate-to high-risk prostate cancer(PCa).Methods Clinical data of 160 treatment-na?ve patients with highly suspected PCa,who underwent initial prostate biopsy in our hospital during Jul.2022 and Feb.2024,were retrospectively analyzed.Data included age,body mass index(BMI),prostate volume(PV),total prostate-specific antigen(tPSA),free PSA(fPSA),[-2]proPSA(p2PSA),PHI and PHID.Biopsy-positive results were stratified according to the EAU D'Amico risk criteria.Receiver operating characteristic(ROC)curve and multivariate logistic regression analysis were employed to assess the diagnostic performance of PHI and PHID in predicting PCa and identifying intermediate-to high-risk PCa.Results There were statistically significant differences in tPSA,p2PSA,PHI and PHID between the negative and positive groups,as well as among the low-,medium-and high-risk groups(P＜0.01).Both PHI and PHID demonstrated good diagnostic performance in predicting PCa(AUC=0.820 8 and 0.875 7,respectively;all P＜0.001),and in identifying intermediate-to high-risk PCa(AUC=0.838 0 and 0.878 3,respectively;all P＜0.001).Compared to the baseline model,the incorporation of PHI and PHID individually into the multivariate model significantly improved the screening performance for PCa(AUC=0.910 and 0.898,respectively;all P＜0.001).Conclusion PHI and PHID exhibit high diagnostic efficacy in screening PCa,particularly in identifying intermediate-to high-risk disease.

Protrusive facial deformities, characterized by the forward displacement of the teeth and/or jaws beyond the normal range, affect a considerable portion of the population. The manifestations and morphological mechanisms of protrusive facial deformities are complex and diverse, requiring orthodontists to possess a high level of theoretical knowledge and practical experience in the relevant orthodontic field. To further optimize the correction of protrusive facial deformities, this consensus proposes that the morphological mechanisms and diagnosis of protrusive facial deformities should be analyzed and judged from multiple dimensions and factors to accurately formulate treatment plans. It emphasizes the use of orthodontic strategies, including jaw growth modification, tooth extraction or non-extraction for anterior teeth retraction, and maxillofacial vertical control. These strategies aim to reduce anterior teeth and lip protrusion, increase chin prominence, harmonize nasolabial and chin-lip relationships, and improve the facial profile of patients with protrusive facial deformities. For severe skeletal protrusive facial deformities, orthodontic-orthognathic combined treatment may be suggested. This consensus summarizes the theoretical knowledge and clinical experience of numerous renowned oral experts nationwide, offering reference strategies for the correction of protrusive facial deformities.
Humans ; Orthodontics, Corrective/methods* ; Consensus ; Malocclusion/therapy* ; Patient Care Planning ; Cephalometry

The prevalence of Class III malocclusion varies among different countries and regions. The populations from Southeast Asian countries (Chinese and Malaysian) showed the highest prevalence rate of 15.8%, which can seriously affect oral function, facial appearance, and mental health. As anterior crossbite tends to worsen with growth, early orthodontic treatment can harness growth potential to normalize maxillofacial development or reduce skeletal malformation severity, thereby reducing the difficulty and shortening the treatment cycle of later-stage treatment. This is beneficial for the physical and mental growth of children. Therefore, early orthodontic treatment for Class III malocclusion is particularly important. Determining the optimal timing for early orthodontic treatment requires a comprehensive assessment of clinical manifestations, dental age, and skeletal age, and can lead to better results with less effort. Currently, standardized treatment guidelines for early orthodontic treatment of Class III malocclusion are lacking. This review provides a comprehensive summary of the etiology, clinical manifestations, classification, and early orthodontic techniques for Class III malocclusion, along with systematic discussions on selecting early treatment plans. The purpose of this expert consensus is to standardize clinical practices and improve the treatment outcomes of Class III malocclusion through early orthodontic treatment.
Humans ; Malocclusion, Angle Class III/classification* ; Orthodontics, Corrective/methods* ; Consensus ; Child

Objective:To explore the association between the metabolic score for insulin resistance (METS-IR) and metabolic dysfunction-associated fatty liver disease (MAFLD), and to compare the diagnostic ability of METS-IR with the fatty liver index (FLI) and hepatic steatosis index (HSI) for MAFLD.Methods:This cross-sectional study enrolled 551 individuals participating in community health screenings in Suzhou between September and November 2022. Data collected included basic demographics, clinical indicators, and iLivTouch? (FibroTouch FT5000, Wuxi Hisky Medical Technologies, China) transient elastography results. Participants were categorized into non-MAFLD ( n=218) and MAFLD ( n=333) groups based on an ultrasound attenuation parameter (UAP) cutoff of 244 dB/m measured by iLivTouch. Logistic regression and restricted cubic spline (RCS) analyses were employed to assess the relationship between METS-IR and MAFLD. The diagnostic value of METS-IR was evaluated using receiver operating characteristic (ROC) curves. DeLong′s test was used to compare the diagnostic performance of the different indices. Results:Among the 551 participants, the prevalence of MAFLD diagnosed by transient elastography was 60.4% (333/552). Compared to the non-MAFLD group, the MAFLD group had significantly higher levels of BMI, SBP, DBP, HbA1c, FPG, 2hPG, TC, TG, LDL-C, ALT, AST, GGT, SUA, liver stiffness measurement (LSM), METS-IR, FLI, and HSI, while HDL-C levels were lower (all P<0.05). The MAFLD group also had a higher prevalence of males, overweight/obesity, smoking, hypertension, pre-diabetes, dyslipidemia, hyperuricemia, metabolic syndrome, and antihypertensive medication use (all P<0.05). Multivariate logistic regression analysis, after adjusting for gender, age, smoking, alcohol consumption, hypertension, diabetes, dyslipidemia, hyperuricemia, ALT, AST, and GGT, demonstrated that METS-IR, FLI, and HSI remained significantly associated with an increased risk of MAFLD ( OR=1.148, 1.042, 1.270, respectively; all P<0.001). The areas under the ROC curve for METS-IR, FLI, and HSI in diagnosing MAFLD were 0.733 (95% CI: 0.691-0.774), 0.727 (95% CI: 0.685-0.770), and 0.677 (95% CI: 0.632-0.722), respectively. The sensitivities were 57.40%, 62.20%, and 48.30%; specificities were 78.00%, 72.90%, and 78.40%; and optimal cutoff values were 38.526, 35.225, and 35.386, respectively. DeLong′s test indicated no significant difference in diagnostic performance between METS-IR and FLI ( P=0.722). However, both METS-IR and FLI demonstrated significantly better diagnostic performance than HSI ( P=0.008 and P=0.018, respectively). Conclusion:METS-IR is significantly associated with MAFLD and effectively identifies MAFLD in community settings. Its diagnostic performance is comparable to FLI and superior to HSI.

OBJECTIVES: To study the molecular mechanisms of LDH-loaded si-NEAT1 for regulating paclitaxel resistance and tumor-associated macrophage (TAM) polarization in breast cancer. METHODS: qRT-PCR and Western blotting were used to detect the expression of lncRNA NEAT1, miR-133b, and PD-L1 in breast cancer SKBR3 cells and paclitaxel-resistant SKBR3 cells (SKBR3-PR). The effects of transfection with si-NEAT1 and miR-133b mimics on MRP, MCRP and PD-L1 expressions and cell proliferation, migration and apoptosis were investigated using qRT-PCR, Western blotting, scratch and Transwell assays, and flow cytometry. Rescue experiments were conducted using si-NEAT1 and miR-133b inhibitor. Human THP-1 macrophages were cultured in the presence of conditioned media (CM) derived from SKBR3 and SKBR3-PR cells with or with si-NEAT1 transfection for comparison of IL-4-induced macrophage polarization by detecting the surface markers. LDH@si-NEAT1 nanocarriers were constructed, and their effects on MRP, MCRP and PD-L1 expressions and cell behaviors of the tumor cells were examined. THP-1 cells were treated with the CM from LDH@si-NEAT1-treated tumor cells, and the changes in their polarization were assessed. RESULTS: SKBR3-PR cells showered significantly upregulated NEAT1 and PD-L1 expressions and lowered miR-133b expression as compared with their parental cells. Transfection with si-NEAT1 and miR-133b mimics inhibited viability, promoted apoptosis and enhanced MRP and BCRP expressions in SKBR3-PR cells. NEAT1 knockdown obvious upregulated miR-133b and downregulated PD-L1, MRP and BCRP expressions. The CM from SKBR3-PR cells obviously promoted M2 polarization of THP-1 macrophages, which was significantly inhibited by CM from si-NEAT1-transfected cells. Treatment with LDH@si-NEAT1 effectively inhibited migration and invasion, promoted apoptosis, and reduced MRP, BCRP and PD-L1 expressions in the tumor cells. The CM from LDH@si-NEAT1-treated SKBR3-PR cells significantly downregulated Arg-1, CD163, IL-10, and PD-L1 and upregulated miR-133b expression in THP-1 macrophages. CONCLUSIONS LDH@si-NEAT1 reduces paclitaxel resistance of breast cancer cells and inhibits TAM polarization by targeting the miR-133b/PD-L1 axis.
Humans ; MicroRNAs/genetics* ; RNA, Long Noncoding/genetics* ; Paclitaxel/pharmacology* ; Breast Neoplasms/metabolism* ; Drug Resistance, Neoplasm ; B7-H1 Antigen/metabolism* ; Cell Line, Tumor ; Female ; Tumor-Associated Macrophages ; Apoptosis ; Cell Proliferation ; Macrophages ; Cell Movement

Objective:To measure the length and curvature of the external auditory canal (EAC) centerline using a three-dimensional (3D) measurement method based on high-resolution computed tomography (HRCT).Methods:A retrospective analysis was conducted on HRCT images of healthy EAC from 49 patients (64 ears) examined at the Sixth Medical Center of the PLA General Hospital from June to October 2024. The cohort included 25 males (28 ears) and 24 females (36 ears), aged 22-78 years (mean age 47.3 years), categorized into age groups: 18-30 years (20 ears), 31-60 years (22 ears), and 61-80 years (22 ears). The EAC comprised 29 left and 35 right ears. 3D reconstruction of the EAC was performed using medical software (3D Slicer), and the central curve of the EAC was extracted using an improved measurement method to determine its length and curvature. Statistical analysis was performed using Origin Pro 2023 software to compare differences across genders, sides, and age groups.Results:The measurements of EAC length and curvature revealed that the EAC was significantly longer in males than in females (27.46 mm vs. 25.44 mm, P=0.014) and longer on the right side than on the left (27.99 mm vs. 25.87 mm, P=0.031). No statistically significant difference in EAC length was observed among the different age groups ( P>0.05). Furthermore, no statistically significant differences in EAC curvature were found regarding gender, side, or age group (all P>0.05). Conclusion:The HRCT-based 3D reconstruction technique enables the establishment of a rapid and effective automated workflow for extracting the central curve of the EAC and systematically measuring its length and curvature. The data obtained provide a reference and methodological support for further research on anatomical variations of the human EAC and its potential clinical applications, such as the design of otological instruments or surgical planning.

Objective To evaluate the diagnostic value of prostate health index(PHI)and prostate health index density(PHID)in identifying intermediate-to high-risk prostate cancer(PCa).Methods Clinical data of 160 treatment-na?ve patients with highly suspected PCa,who underwent initial prostate biopsy in our hospital during Jul.2022 and Feb.2024,were retrospectively analyzed.Data included age,body mass index(BMI),prostate volume(PV),total prostate-specific antigen(tPSA),free PSA(fPSA),[-2]proPSA(p2PSA),PHI and PHID.Biopsy-positive results were stratified according to the EAU D'Amico risk criteria.Receiver operating characteristic(ROC)curve and multivariate logistic regression analysis were employed to assess the diagnostic performance of PHI and PHID in predicting PCa and identifying intermediate-to high-risk PCa.Results There were statistically significant differences in tPSA,p2PSA,PHI and PHID between the negative and positive groups,as well as among the low-,medium-and high-risk groups(P＜0.01).Both PHI and PHID demonstrated good diagnostic performance in predicting PCa(AUC=0.820 8 and 0.875 7,respectively;all P＜0.001),and in identifying intermediate-to high-risk PCa(AUC=0.838 0 and 0.878 3,respectively;all P＜0.001).Compared to the baseline model,the incorporation of PHI and PHID individually into the multivariate model significantly improved the screening performance for PCa(AUC=0.910 and 0.898,respectively;all P＜0.001).Conclusion PHI and PHID exhibit high diagnostic efficacy in screening PCa,particularly in identifying intermediate-to high-risk disease.

Objective:To measure the length and curvature of the external auditory canal (EAC) centerline using a three-dimensional (3D) measurement method based on high-resolution computed tomography (HRCT).Methods:A retrospective analysis was conducted on HRCT images of healthy EAC from 49 patients (64 ears) examined at the Sixth Medical Center of the PLA General Hospital from June to October 2024. The cohort included 25 males (28 ears) and 24 females (36 ears), aged 22-78 years (mean age 47.3 years), categorized into age groups: 18-30 years (20 ears), 31-60 years (22 ears), and 61-80 years (22 ears). The EAC comprised 29 left and 35 right ears. 3D reconstruction of the EAC was performed using medical software (3D Slicer), and the central curve of the EAC was extracted using an improved measurement method to determine its length and curvature. Statistical analysis was performed using Origin Pro 2023 software to compare differences across genders, sides, and age groups.Results:The measurements of EAC length and curvature revealed that the EAC was significantly longer in males than in females (27.46 mm vs. 25.44 mm, P=0.014) and longer on the right side than on the left (27.99 mm vs. 25.87 mm, P=0.031). No statistically significant difference in EAC length was observed among the different age groups ( P>0.05). Furthermore, no statistically significant differences in EAC curvature were found regarding gender, side, or age group (all P>0.05). Conclusion:The HRCT-based 3D reconstruction technique enables the establishment of a rapid and effective automated workflow for extracting the central curve of the EAC and systematically measuring its length and curvature. The data obtained provide a reference and methodological support for further research on anatomical variations of the human EAC and its potential clinical applications, such as the design of otological instruments or surgical planning.

Objective:To explore the association between the metabolic score for insulin resistance (METS-IR) and metabolic dysfunction-associated fatty liver disease (MAFLD), and to compare the diagnostic ability of METS-IR with the fatty liver index (FLI) and hepatic steatosis index (HSI) for MAFLD.Methods:This cross-sectional study enrolled 551 individuals participating in community health screenings in Suzhou between September and November 2022. Data collected included basic demographics, clinical indicators, and iLivTouch? (FibroTouch FT5000, Wuxi Hisky Medical Technologies, China) transient elastography results. Participants were categorized into non-MAFLD ( n=218) and MAFLD ( n=333) groups based on an ultrasound attenuation parameter (UAP) cutoff of 244 dB/m measured by iLivTouch. Logistic regression and restricted cubic spline (RCS) analyses were employed to assess the relationship between METS-IR and MAFLD. The diagnostic value of METS-IR was evaluated using receiver operating characteristic (ROC) curves. DeLong′s test was used to compare the diagnostic performance of the different indices. Results:Among the 551 participants, the prevalence of MAFLD diagnosed by transient elastography was 60.4% (333/552). Compared to the non-MAFLD group, the MAFLD group had significantly higher levels of BMI, SBP, DBP, HbA1c, FPG, 2hPG, TC, TG, LDL-C, ALT, AST, GGT, SUA, liver stiffness measurement (LSM), METS-IR, FLI, and HSI, while HDL-C levels were lower (all P<0.05). The MAFLD group also had a higher prevalence of males, overweight/obesity, smoking, hypertension, pre-diabetes, dyslipidemia, hyperuricemia, metabolic syndrome, and antihypertensive medication use (all P<0.05). Multivariate logistic regression analysis, after adjusting for gender, age, smoking, alcohol consumption, hypertension, diabetes, dyslipidemia, hyperuricemia, ALT, AST, and GGT, demonstrated that METS-IR, FLI, and HSI remained significantly associated with an increased risk of MAFLD ( OR=1.148, 1.042, 1.270, respectively; all P<0.001). The areas under the ROC curve for METS-IR, FLI, and HSI in diagnosing MAFLD were 0.733 (95% CI: 0.691-0.774), 0.727 (95% CI: 0.685-0.770), and 0.677 (95% CI: 0.632-0.722), respectively. The sensitivities were 57.40%, 62.20%, and 48.30%; specificities were 78.00%, 72.90%, and 78.40%; and optimal cutoff values were 38.526, 35.225, and 35.386, respectively. DeLong′s test indicated no significant difference in diagnostic performance between METS-IR and FLI ( P=0.722). However, both METS-IR and FLI demonstrated significantly better diagnostic performance than HSI ( P=0.008 and P=0.018, respectively). Conclusion:METS-IR is significantly associated with MAFLD and effectively identifies MAFLD in community settings. Its diagnostic performance is comparable to FLI and superior to HSI.

Objective:To automatically segment four body components at the T4 thoracic veertebra plane on chest CT in the newly diagnosed multiple myeloma(MM)patients by deep learning model,and to discuss the correlation between the four body components and the prognosis of the MM patients.Methods:The retrospective analysis was conducted on the clinical data of the MM patients diagnosed in our hospital from January 2017 to December 2021.The clinical informations such as age,gender,weight,height,and body mass index(BMI)of the patients were collected.The laboratory data of the patients were collected,including serum levels of lactate dehydrogenase(LDH),calcium(Ca),creatinine(Scr),albumin(Alb),hemoglobin(Hb),β2-microglobulin(β2-MG),and serum free light chains.The chest CT images of 79 regularly evaluated MM patients detected by deep learning model were divide into four body components:pectoralis major,pectoralis minor,subcutaneous fat,and mediastinal fat.Image J software was used to detect the areas of the four body components at the T4 thoracic vertebra plane,and their correlation with the prognosis of the MM patients was analyzed by Kaplan-Meier survival analysis.Results:The univariate analysis results showed that the area of subcutaneous fat,serum Ca levels,Scr levels,and International Staging System(ISS)stage were related to the overall survival(OS)of the MM patients(HR=2.260,95％CI:1.116-4.578,P=0.024;HR=2.088,95％CI:1.007-4.327,P=0.048;HR=2.209,95％CI:1.105-4.414,P=0.025;HR=1.730,95％CI:1.040-2.879,P=0.035).The multivariate analysis results showed that the area of subcutaneous fat among the four body components was an independent risk factor affecting the prognosis of the MM patients(95％CI:1.228-5.782,P=0.013).The Log-Rank test results showed that compared with high subcutaneous fat area group,the OS of the patients in low subcutaneous fat area group was decreased(P=0.018).There was no significant difference in OS of the patients with different genders between high subcutaneous fat area group and low subcutaneous fat area group(P＞0.05).In the patients without hematopoietic stem cell transplantation,compared with high subcutaneous fat area group,the OS of the patients in low subcutaneous fat area group was decreased(P=0.037).Conclusion:Among the four body components at the T4 thoracic vertebra plane,the area of subcutaneous fat is related to the OS of the MM patients and it is an independent risk factor for the prognosis of the MM patients,while the areas of mediastinal fat,pectoralis major,and pectoralis minor have no predictive value for the prognosis of the MM patients.