Objective: As part of an ongoing study, this study examined the impact of medications, such as heparin, aspirin, and sodium nitroprusside (SNP), on the factors linked to PTE after an intravenous injection of canine mesenchymal stem cell into experimental animals. Methods: Fluorescently labeled canine AdMSCs were administered intravenously into the tail veins of five-week-old male BALB/c hairless mice. This study compared the survival rates, biodistribution, platelet counts, D-dimer levels, and histological examination results among the drug treatment experimental and the control groups. Results: The final survival rates in the SNP, control aspirin, and heparin groups were 25%, 33%, 50%, and 100%, respectively. Ex vivo imaging confirmed fluorescence exclusively in the lungs of all subjects who died during the injection, with no fluorescence detected in the other organs. On the other hand, in the heparin experimental group, the surviving individuals exhibited fluorescence in the lungs and the liver on day one. Histological biopsies revealed PTE in all deceased individuals within the medication experimental groups (p = 0.029). Conclusions and Relevance: Heparin was highly effective, with no PTE-related deaths observed when used alongside cell injections. Aspirin revealed moderate effectiveness, surpassing the control group. On the other hand, the efficacy of SNP was inferior to that of the other two drugs.

Objective: As part of an ongoing study, this study examined the impact of medications, such as heparin, aspirin, and sodium nitroprusside (SNP), on the factors linked to PTE after an intravenous injection of canine mesenchymal stem cell into experimental animals. Methods: Fluorescently labeled canine AdMSCs were administered intravenously into the tail veins of five-week-old male BALB/c hairless mice. This study compared the survival rates, biodistribution, platelet counts, D-dimer levels, and histological examination results among the drug treatment experimental and the control groups. Results: The final survival rates in the SNP, control aspirin, and heparin groups were 25%, 33%, 50%, and 100%, respectively. Ex vivo imaging confirmed fluorescence exclusively in the lungs of all subjects who died during the injection, with no fluorescence detected in the other organs. On the other hand, in the heparin experimental group, the surviving individuals exhibited fluorescence in the lungs and the liver on day one. Histological biopsies revealed PTE in all deceased individuals within the medication experimental groups (p = 0.029). Conclusions and Relevance: Heparin was highly effective, with no PTE-related deaths observed when used alongside cell injections. Aspirin revealed moderate effectiveness, surpassing the control group. On the other hand, the efficacy of SNP was inferior to that of the other two drugs.

Purpose: In this study, we aimed to classify an implant system by comparing the types of implant thread shapes shown on radiographs using various Convolutional Neural Networks (CNNs), particularly Xception, InceptionV3, ResNet50V2, and ResNet101V2. The accuracy of the CNN based on the implant site was compared. Materials and Methods: A total of 1000 radiographic images, consisting of eight types of implants, were preprocessed by resizing and CLAHE filtering, and then augmented. CNNs were trained and validated for implant thread shape prediction. Grad-CAM was used to visualize class activation maps (CAM) on the implant threads shown within the radiographic image. Results: Averaged over 10 validation folds, each model achieved an AUC of over 0.96: AUC of 0.961 (95% CI 0.952–0.970) with Xception, 0.973 (95% CI 0.966-0.980) with InceptionV3, 0.980 (95% CI 0.974-0.988) with ResNet50V2, and 0.983 (95% CI 0.975-0.992) with ResNet101V2. Accuracy was higher in the posterior region than in the anterior area in all four models. Most CAMs highlighted the implant surface where the threads were present; however, some showed responses in other areas. Conclusion The CNN models accurately classified implants in all areas of the oral cavity according to the thread shape, using radiographic images.

Purpose: In this study, we aimed to classify an implant system by comparing the types of implant thread shapes shown on radiographs using various Convolutional Neural Networks (CNNs), particularly Xception, InceptionV3, ResNet50V2, and ResNet101V2. The accuracy of the CNN based on the implant site was compared. Materials and Methods: A total of 1000 radiographic images, consisting of eight types of implants, were preprocessed by resizing and CLAHE filtering, and then augmented. CNNs were trained and validated for implant thread shape prediction. Grad-CAM was used to visualize class activation maps (CAM) on the implant threads shown within the radiographic image. Results: Averaged over 10 validation folds, each model achieved an AUC of over 0.96: AUC of 0.961 (95% CI 0.952–0.970) with Xception, 0.973 (95% CI 0.966-0.980) with InceptionV3, 0.980 (95% CI 0.974-0.988) with ResNet50V2, and 0.983 (95% CI 0.975-0.992) with ResNet101V2. Accuracy was higher in the posterior region than in the anterior area in all four models. Most CAMs highlighted the implant surface where the threads were present; however, some showed responses in other areas. Conclusion The CNN models accurately classified implants in all areas of the oral cavity according to the thread shape, using radiographic images.

Objective: As part of an ongoing study, this study examined the impact of medications, such as heparin, aspirin, and sodium nitroprusside (SNP), on the factors linked to PTE after an intravenous injection of canine mesenchymal stem cell into experimental animals. Methods: Fluorescently labeled canine AdMSCs were administered intravenously into the tail veins of five-week-old male BALB/c hairless mice. This study compared the survival rates, biodistribution, platelet counts, D-dimer levels, and histological examination results among the drug treatment experimental and the control groups. Results: The final survival rates in the SNP, control aspirin, and heparin groups were 25%, 33%, 50%, and 100%, respectively. Ex vivo imaging confirmed fluorescence exclusively in the lungs of all subjects who died during the injection, with no fluorescence detected in the other organs. On the other hand, in the heparin experimental group, the surviving individuals exhibited fluorescence in the lungs and the liver on day one. Histological biopsies revealed PTE in all deceased individuals within the medication experimental groups (p = 0.029). Conclusions and Relevance: Heparin was highly effective, with no PTE-related deaths observed when used alongside cell injections. Aspirin revealed moderate effectiveness, surpassing the control group. On the other hand, the efficacy of SNP was inferior to that of the other two drugs.

Purpose: In this study, we aimed to classify an implant system by comparing the types of implant thread shapes shown on radiographs using various Convolutional Neural Networks (CNNs), particularly Xception, InceptionV3, ResNet50V2, and ResNet101V2. The accuracy of the CNN based on the implant site was compared. Materials and Methods: A total of 1000 radiographic images, consisting of eight types of implants, were preprocessed by resizing and CLAHE filtering, and then augmented. CNNs were trained and validated for implant thread shape prediction. Grad-CAM was used to visualize class activation maps (CAM) on the implant threads shown within the radiographic image. Results: Averaged over 10 validation folds, each model achieved an AUC of over 0.96: AUC of 0.961 (95% CI 0.952–0.970) with Xception, 0.973 (95% CI 0.966-0.980) with InceptionV3, 0.980 (95% CI 0.974-0.988) with ResNet50V2, and 0.983 (95% CI 0.975-0.992) with ResNet101V2. Accuracy was higher in the posterior region than in the anterior area in all four models. Most CAMs highlighted the implant surface where the threads were present; however, some showed responses in other areas. Conclusion The CNN models accurately classified implants in all areas of the oral cavity according to the thread shape, using radiographic images.

Objective: As part of an ongoing study, this study examined the impact of medications, such as heparin, aspirin, and sodium nitroprusside (SNP), on the factors linked to PTE after an intravenous injection of canine mesenchymal stem cell into experimental animals. Methods: Fluorescently labeled canine AdMSCs were administered intravenously into the tail veins of five-week-old male BALB/c hairless mice. This study compared the survival rates, biodistribution, platelet counts, D-dimer levels, and histological examination results among the drug treatment experimental and the control groups. Results: The final survival rates in the SNP, control aspirin, and heparin groups were 25%, 33%, 50%, and 100%, respectively. Ex vivo imaging confirmed fluorescence exclusively in the lungs of all subjects who died during the injection, with no fluorescence detected in the other organs. On the other hand, in the heparin experimental group, the surviving individuals exhibited fluorescence in the lungs and the liver on day one. Histological biopsies revealed PTE in all deceased individuals within the medication experimental groups (p = 0.029). Conclusions and Relevance: Heparin was highly effective, with no PTE-related deaths observed when used alongside cell injections. Aspirin revealed moderate effectiveness, surpassing the control group. On the other hand, the efficacy of SNP was inferior to that of the other two drugs.

Objective: The present study assessed the occurrence of PTE after the intravenous infusion of canine AdMSCs (cAdMSCs) into experimental animals. Methods: Five-week-old male BALB/c hairless mice were categorized into groups labeled A to G. In the control group (A), fluorescently stained 2 × 106 cAdMSCs were diluted in 200 μL of suspension and injected into the tail vein as a single bolus. The remaining groups included the following: group B with 5 × 106 cells, group C with 3 × 106 cells, group D with 1 × 106 cells, group E with 1 × 106 cells injected twice with a one-day interval, group F with 2 × 106 cells in 100 μL of suspension, and group G with 2 × 106 cells in 300 μL of suspension. Results: Group D achieved a 100% survival rate, while none of the subjects in groups B and C survived (p = 0.002). Blood tests revealed a tendency for the D-dimer levels to increase as the cell dose increased (p = 0.006). The platelet count was higher in the low cell concentration groups and lower in the high cell concentration groups (p = 0.028). A histological examination revealed PTE in most deceased subjects (96.30%). Conclusions and Relevance: PTE was verified, and various variables were identified as potential contributing factors, including the cell dose, injection frequency, and suspension volume.

Acute epiploic appendagitis is an uncommon cause of abdominal pain resulting from appendageal ischemia caused by torsion or thrombosis of the draining vein. It is frequently misdiagnosed as acute appendicitis or diverticulitis. The coronavirus disease 2019 (COVID-19) pandemic has changed how this rare disease is diagnosed. There was a report of a young men diagnosed with COVID-19 and epiploic appendagitis as a rare cause of abdominal pain. In addition, a 50-year-old men was diagnosed with epiploic appendagitis during the treatment of COVID-19. This paper reports the case of a 53-year-old men who presented with right lower quadrant abdominal pain after COVID-19 and was diagnosed with acute epiploic appendagitis by computed tomography image findings. The thrombotic condition of COVID-19 may contribute to acute appendagitis, but more studies are needed to confirm this hypothesis.

Purpose: The aim of this study was to compare changes of bite force, occlusal contact area, and dynamic functional occlusion analysis after occlusal stabilization splint therapy during sleep for one month in a patient with bruxism. Materials and Methods: From October 2021 to July 2022, sleep bruxism of 30 patients who visited the Department of Oral Medicine at Yonsei University College of Dentistry Hospital were recruited. The participants were divided into two groups: using an occlusal stabilization splint during sleep (treatment; n = 15) and not using an occlusal stabilization splint (control; n = 15). Before using the occlusal stabilization splint and one month after, bite force, occlusal contact area and dynamic functional occlusion analysis (ratio of left/right bite forces, average bite forces, maximum bite forces, and maximum contact areas during lateral and anterior and posterior mandibular movements) were performed. Results: There was no difference in bite force and occlusal contact area between the treatment group using the occlusal stabilization splint and the control group not using the occlusal stabilization splint during sleep for one month. However, there were significant differences in the average bite force and maximum bite force in the lateral and anterior and posterior mandibular movements and the maximum contact areas in the anterior and posterior mandibular movements. Conclusion The occlusal stabilization splint is helpful for sleep bruxism patients who lateral and anterior and posterior mandibular movements. In addition, further studies are needed a double-blind study with a large population.