Objective: This study aimed to explore the relationship between circulating vascular endothelial growth factor (VEGF) levels and Behçet’s disease (BD), as well as to examine the association between VEGF gene polymorphisms and BD. Methods: We conducted a comprehensive search of the MEDLINE, Embase, and Web of Science databases to identify relevant research articles. A meta-analysis was performed to compare serum or plasma VEGF levels in BD patients with those in control groups. Additionally, we evaluated the potential associations between BD susceptibility and specific VEGF polymorphisms, namely –634 C/G, +936 C/T, and the 18 bp insertion/deletion (I/D) at –2549. Results: The analysis included 15 studies with a total of 1,020 BD patients and 1,031 controls. BD patients exhibited significantly higher circulating VEGF levels compared to controls (standardized mean difference [SMD]=1.726, 95% confidence interval [CI]=1.030~2.421, p<0.001). Elevated VEGF levels were noted among BD patients from European and Arab populations. Subgroup analysis further confirmed the increase in VEGF levels across different data types and sample sizes. Patients with active BD had higher VEGF levels than those with inactive BD (SMD=0.635, 95% CI=0.092~1.177, p=0.022). However, no significant association was found between BD and the VEGF –634 C allele (odds ratio=1.023, 95% CI=0.707~1.481, p=0.904). Similarly, no association was detected between BD and the VEGF +936 C/T or 18 bp I/D at –2549 polymorphisms. Conclusion Our meta-analysis showed a strong association between elevated circulating VEGF levels and BD. However, the VEGF polymorphisms examined in this study do not appear to be associated with susceptibility to BD.

Objective: This study aimed to investigate the link between circulating interleukin-18 (IL-18) levels and adult-onset Still’s disease (AOSD). Methods: A thorough search was performed on MEDLINE, Embase, and Web of Science to find relevant articles. A meta-analysis was conducted to compare serum/plasma IL-18 levels in AOSD patients to those in control subjects. Results: The meta-analysis included 13 studies with a total of 562 AOSD patients and 790 controls. The results showed a significant increase in IL-18 levels in the AOSD group compared to the control group (standard mean difference [SMD]=1.899, 95% confidence interval [CI]=1.078~2.720, p<0.001). When stratified by ethnicity, higher IL-18 levels were found in both Asian and European populations with AOSD. Subgroup analysis, regardless of variable adjustments, consistently indicated significantly higher IL-18 levels in the AOSD group. Significant elevations in IL-18 levels were observed in both small (n<50) and large groups (n>50), as well as in original and imputed data groups after data type stratification. Free IL-18 levels were significantly higher in the active group compared to the inactive group (SMD=0.900, 95% CI=0.532~1.268, p<0.001). The meta-analysis showed a positive correlation between IL-18 levels and ferritin (correlation coefficient=0.542, 95% CI=0.431~0.637, p<0.001) and C-reactive protein. Conclusion This meta-analysis demonstrated a significant increase in circulating IL-18 levels and a positive correlation between IL-18 levels and ferritin and C-reactive protein levels in patients with AOSD.

Objective: This study aimed to explore the relationship between circulating vascular endothelial growth factor (VEGF) levels and Behçet’s disease (BD), as well as to examine the association between VEGF gene polymorphisms and BD. Methods: We conducted a comprehensive search of the MEDLINE, Embase, and Web of Science databases to identify relevant research articles. A meta-analysis was performed to compare serum or plasma VEGF levels in BD patients with those in control groups. Additionally, we evaluated the potential associations between BD susceptibility and specific VEGF polymorphisms, namely –634 C/G, +936 C/T, and the 18 bp insertion/deletion (I/D) at –2549. Results: The analysis included 15 studies with a total of 1,020 BD patients and 1,031 controls. BD patients exhibited significantly higher circulating VEGF levels compared to controls (standardized mean difference [SMD]=1.726, 95% confidence interval [CI]=1.030~2.421, p<0.001). Elevated VEGF levels were noted among BD patients from European and Arab populations. Subgroup analysis further confirmed the increase in VEGF levels across different data types and sample sizes. Patients with active BD had higher VEGF levels than those with inactive BD (SMD=0.635, 95% CI=0.092~1.177, p=0.022). However, no significant association was found between BD and the VEGF –634 C allele (odds ratio=1.023, 95% CI=0.707~1.481, p=0.904). Similarly, no association was detected between BD and the VEGF +936 C/T or 18 bp I/D at –2549 polymorphisms. Conclusion Our meta-analysis showed a strong association between elevated circulating VEGF levels and BD. However, the VEGF polymorphisms examined in this study do not appear to be associated with susceptibility to BD.

Objective: This study aimed to investigate the link between circulating interleukin-18 (IL-18) levels and adult-onset Still’s disease (AOSD). Methods: A thorough search was performed on MEDLINE, Embase, and Web of Science to find relevant articles. A meta-analysis was conducted to compare serum/plasma IL-18 levels in AOSD patients to those in control subjects. Results: The meta-analysis included 13 studies with a total of 562 AOSD patients and 790 controls. The results showed a significant increase in IL-18 levels in the AOSD group compared to the control group (standard mean difference [SMD]=1.899, 95% confidence interval [CI]=1.078~2.720, p<0.001). When stratified by ethnicity, higher IL-18 levels were found in both Asian and European populations with AOSD. Subgroup analysis, regardless of variable adjustments, consistently indicated significantly higher IL-18 levels in the AOSD group. Significant elevations in IL-18 levels were observed in both small (n<50) and large groups (n>50), as well as in original and imputed data groups after data type stratification. Free IL-18 levels were significantly higher in the active group compared to the inactive group (SMD=0.900, 95% CI=0.532~1.268, p<0.001). The meta-analysis showed a positive correlation between IL-18 levels and ferritin (correlation coefficient=0.542, 95% CI=0.431~0.637, p<0.001) and C-reactive protein. Conclusion This meta-analysis demonstrated a significant increase in circulating IL-18 levels and a positive correlation between IL-18 levels and ferritin and C-reactive protein levels in patients with AOSD.

Objective: This study aimed to explore the relationship between circulating vascular endothelial growth factor (VEGF) levels and Behçet’s disease (BD), as well as to examine the association between VEGF gene polymorphisms and BD. Methods: We conducted a comprehensive search of the MEDLINE, Embase, and Web of Science databases to identify relevant research articles. A meta-analysis was performed to compare serum or plasma VEGF levels in BD patients with those in control groups. Additionally, we evaluated the potential associations between BD susceptibility and specific VEGF polymorphisms, namely –634 C/G, +936 C/T, and the 18 bp insertion/deletion (I/D) at –2549. Results: The analysis included 15 studies with a total of 1,020 BD patients and 1,031 controls. BD patients exhibited significantly higher circulating VEGF levels compared to controls (standardized mean difference [SMD]=1.726, 95% confidence interval [CI]=1.030~2.421, p<0.001). Elevated VEGF levels were noted among BD patients from European and Arab populations. Subgroup analysis further confirmed the increase in VEGF levels across different data types and sample sizes. Patients with active BD had higher VEGF levels than those with inactive BD (SMD=0.635, 95% CI=0.092~1.177, p=0.022). However, no significant association was found between BD and the VEGF –634 C allele (odds ratio=1.023, 95% CI=0.707~1.481, p=0.904). Similarly, no association was detected between BD and the VEGF +936 C/T or 18 bp I/D at –2549 polymorphisms. Conclusion Our meta-analysis showed a strong association between elevated circulating VEGF levels and BD. However, the VEGF polymorphisms examined in this study do not appear to be associated with susceptibility to BD.

Objective: This study aimed to investigate the link between circulating interleukin-18 (IL-18) levels and adult-onset Still’s disease (AOSD). Methods: A thorough search was performed on MEDLINE, Embase, and Web of Science to find relevant articles. A meta-analysis was conducted to compare serum/plasma IL-18 levels in AOSD patients to those in control subjects. Results: The meta-analysis included 13 studies with a total of 562 AOSD patients and 790 controls. The results showed a significant increase in IL-18 levels in the AOSD group compared to the control group (standard mean difference [SMD]=1.899, 95% confidence interval [CI]=1.078~2.720, p<0.001). When stratified by ethnicity, higher IL-18 levels were found in both Asian and European populations with AOSD. Subgroup analysis, regardless of variable adjustments, consistently indicated significantly higher IL-18 levels in the AOSD group. Significant elevations in IL-18 levels were observed in both small (n<50) and large groups (n>50), as well as in original and imputed data groups after data type stratification. Free IL-18 levels were significantly higher in the active group compared to the inactive group (SMD=0.900, 95% CI=0.532~1.268, p<0.001). The meta-analysis showed a positive correlation between IL-18 levels and ferritin (correlation coefficient=0.542, 95% CI=0.431~0.637, p<0.001) and C-reactive protein. Conclusion This meta-analysis demonstrated a significant increase in circulating IL-18 levels and a positive correlation between IL-18 levels and ferritin and C-reactive protein levels in patients with AOSD.

Purpose: Cone beam computed tomography (CBCT) is widely used to evaluate the temporomandibular joint (TMJ). For the three-dimensional (3D) assessment of the TMJ, segmentation of the mandibular condyle and articular fossa is essential. This study aimed to perform deep learning-based 3D segmentation of the mandibular condyle on CBCT images and evaluate the performance of the segmentation. Methods: CBCT scan data from 99 patients (mean age: 53.3±19.2 years) diagnosed with TMJ disorders were analyzed. From the CBCT images, sagittal, coronal, and axial planes showing the mandibular condyle were selected and combined to form two-dimensional (2D) images. The U-Net deep learning model was used to exclusively segment the mandibular condyle area from the 2D images. From these results, 3D images of the mandibular condyle were reconstructed. Accuracy, precision, recall, and the Dice coefficient were calculated to appraise segmentation performance in each plane. Results: The average Dice coefficient was 0.92 for the coronal and axial planes and 0.82 for the sagittal plane. The CBCT image-based segmentation performance of the mandibular condyle in the coronal and axial planes exceeded that in the sagittal plane. The sharpness and uniformity of the 2D images affected segmentation performance, with segmentation errors more likely occurring in non-uniform images. Certain segmentation errors were corrected through software processing. Finally, the segmented mandibular condyle images were applied to the CBCT data to reconstruct a 3D TMJ model. Conclusions Mandibular condyle 3D segmentation on CBCT images using U-Net may help evaluate and diagnose TMJ disorders. The proposed segmentation method may assist clinicians in efficiently analyzing CBCT images, particularly in cases involving anatomical abnormalities.