This study presents transatrial stenting as a palliative treatment for central venous obstruction in dogs with cardiac tumors. Two dogs presented with lethargy and respiratory distress. On diagnostic imaging, a large cardiac tumor with central venous obstruction was identified in both dogs. One dog showed pleural effusion, plethoric caudal vena cava (CdVC), hepatic congestion, and ascites. The other dog had cervical swelling and pleural effusion. Transatrial stenting was performed in the cranial vena cava, right atrium, and CdVC for the relief of caval and atrial compression due to cardiac tumors. Clinical improvement was observed post-procedure, despite thrombus formation within the stent in the second case. Endovascular transatrial stenting is a promising palliative treatment for venous return obstruction caused by cardiac tumors, effectively alleviating clinical symptoms and providing a viable management option.

A secondary anterior open bite may develop after a mandibular condyle fracture, particularly when an initial conservative treatment fails to restore vertical ramus height or joint function. Herein, we describe a patient with unstable preexisting occlusion who developed a persistent anterior open bite after bilateral condylar neck fractures were managed conservatively. Bilateral condylar reconstruction was planned through virtual surgical simulation and executed with patient-specific guides to accurately reproduce the intended mandibular position. Partial replacement of the mandibular condyle was selected because the soft tissues within the mandibular fossae, including the discs, remained intact and demonstrated functional mobility over the articulating surfaces. Postoperative evaluation revealed close agreement between the planned and achieved mandibular positions, with less than two millimeters of deviation, and stable occlusion was maintained during long-term follow-up. This case illustrates the potential of digitally assisted planning to achieve predictable outcomes in patients with complex secondary deformities.

Purpose: Li-Fraumeni syndrome (LFS) is a hereditary disorder caused by germline mutation in TP53. Owing to the rarity of LFS, data on its clinical features are limited. This study aimed to evaluate the clinical characteristics and prognosis of Korean patients with LFS. Materials and Methods: Patients who underwent genetic counseling and confirmed with germline TP53 mutation in the National Cancer Center in Korea between 2011 and 2022 were retrospectively reviewed. Data on family history with pedigree, types of mutation, clinical features, and prognosis were collected. Results: Fourteen patients with LFS were included in this study. The median age at diagnosis of the first tumor was 32 years. Missense and nonsense mutations were observed in 13 and one patients, respectively. The repeated mutations were p.Arg273His, p.Ala138Val, and pPro190Leu. The sister with breast cancer harbored the same mutation of p.Ala138Val. Seven patients had multiple primary cancers. Breast cancer was most frequently observed, and other types of tumor included sarcoma, thyroid cancer, pancreatic cancer, brain tumor, adrenocortical carcinoma, ovarian cancer, endometrial cancer, colon cancer, vaginal cancer, skin cancer, and leukemia. The median follow-up period was 51.5 months. Two and four patients showed local recurrence and distant metastasis, respectively. Two patients died of leukemia and pancreatic cancer 3 and 23 months after diagnosis, respectively. Conclusion This study provides information on different characteristics of patients with LFS, including types of mutation, types of cancer, and prognostic outcomes. For more appropriate management of these patients, proper genetic screening and multidisciplinary discussion are required.

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.

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: The study aimed to understand the delirium experience of intensive care unit (ICU) patients. Methods: We performed a qualitative study using Colaizzi’s phenomenological method. Eleven patients, who experienced delirium according to the Confusion Assessment Method for ICU, participated after transferring to general wards from the ICU. Individual in-depth semi-structured interviews ranging from 30 minutes to 2 hours in length were conducted between November 2018 and August 2019. Results: Nine themes and four theme clusters emerged. The four theme clusters were: 1) “Overwhelmed by fear,” which describes the experience of a patient close to death and the feeling of difficulty in understanding disorganized thinking; 2) “Anxious about not understanding the situation,” which means that patients’ sense of time and space were disordered in the ICU; 3) “Being deserted,” which indicates the feeling of being separated from others and yourself; and 4) “Resistance to protect my dignity,” which indicates that the dignity and autonomy of an individual in the patient’s position at the ICU, are ignored. Conclusion Nursing interventions are needed that would enable patients to maintain orientation and self-esteem in the ICU. In addition, healthcare providers need to provide information about the unfamiliar environment in the ICU in advance.

BACKGROUND/AIMS: Helicobacter pylori eradication is recommended in patients with early gastric cancer. However, the possibility of spontaneous regression raises a question for clinicians about the need for “retesting” postoperative H. pylori status. METHODS: Patients who underwent curative gastrectomy at Seoul National University Bundang Hospital and had a positive H. pylori status without eradication therapy at the time of gastric cancer diagnosis were prospectively enrolled in this study. H. pylori status and atrophic gastritis (AG) and intestinal metaplasia (IM) histologic status were assessed pre- and postoperatively. RESULTS: One hundred forty patients (mean age, 59.0 years; 60.7% male) underwent subtotal gastrectomy with B-I (65.0%), B-II (27.1%), Roux-en-Y (4.3%), jejunal interposition (0.7%), or proximal gastrectomy (4.3%). Preoperative presence of AG (62.9%) and IM (72.9%) was confirmed. The mean period between surgery and the last endoscopic follow-up was 38.0±25.6 months. Of the 140 patients, 80 (57.1%) were found to be persistently positive for H. pylori, and 60 (42.9%) showed spontaneous negative conversion at least once during follow-up. Of these 60 patients, eight (13.3%) showed more complex postoperative dynamic changes between negative and positive results. The spontaneous negative conversion group showed a trend of having more postoperative IM compared to the persistent H. pylori group. CONCLUSIONS: A high percentage of spontaneous regression and complex dynamic changes in H. pylori status were observed after partial gastrectomy, especially in individuals with postoperative histological IM. It is better to consider postoperative eradication therapy after retesting for H. pylori.
Diagnosis ; Follow-Up Studies ; Gastrectomy ; Gastritis, Atrophic ; Helicobacter pylori* ; Helicobacter* ; Humans ; Metaplasia ; Prospective Studies ; Seoul ; Stomach Neoplasms*

BACKGROUND: Not much is known about the role of gastric microbiota except for Helicobacter pylori in human health and disease. In this study, we aimed to detect human gastric microbiota in both gastric mucosa and gastric juice by barcoded 454-pyrosequencing of the 16S rRNA gene and to compare the results from mucosa and juice. METHODS: Gastric biopsies and stomach juices were collected from 4 subjects who underwent standard endoscopy at Seoul National University Bundang Hospital. Gastric microbiota of antral mucosa, corpus mucosa samples, and gastric fluids were analyzed by barcoded 454-pyrosequencing of the 16S rRNA gene. The analysis focused on bacteria, such as H. pylori and nitrosating or nitrate-reducing bacteria. RESULTS: Gastric fluid samples showed higher diversity compared to that of gastric mucosa samples. The mean of operational taxonomic units was higher in gastric fluid than in gastric mucosa. The samples of gastric fluid and gastric mucosa showed different composition of phyla. The composition of H. pylori and Proteobacteria was higher in mucosa samples compared to gastric fluid samples (H. pylori, 66.5% vs. 3.3%, P = 0.033; Proteobacteria, 75.4% vs. 26.3%, P = 0.041), while Actinobacteria, Bacteroidetes, and Firmicutes were proportioned relatively less in mucosa samples than gastric fluid. However there was no significant difference. (Actinobacteria, 3.5% vs. 20.2%, P = 0.312; Bacteroidetes, 6.0% vs. 14.8%, P = 0.329; Firmicutes, 12.8% vs. 33.4%, P = 0.246). CONCLUSIONS: Even though these samples were small, gastric mucosa could be more effective than gastric fluid in the detection of meaningful gastric microbiota by pyrosequencing.
Actinobacteria ; Bacteria ; Bacteroidetes ; Biopsy ; Endoscopy ; Gastric Juice* ; Gastric Mucosa ; Genes, rRNA ; Helicobacter pylori ; Humans ; Microbiota* ; Mucous Membrane* ; Proteobacteria ; Seoul ; Stomach

We report the case of a 20-year-old man with a 2-month history of anal pain and bloody rectal discharge. He was referred to our clinic of gastroenterology for suspected inflammatory bowel disease (IBD). The colonoscopy showed mucosal nodularities on the rectum and an anal tag. Because the colonoscopic findings were not consistent with the typical manifestations of IBD, we took an additional sexual history and performed studies for infectious proctitis, including serologic tests for Chlamydia trachomatis, Neisseria gonorrhoeae, and Treponema pallidum. He had homosexual experience, and the serologic tests and PCR of a rectal swab were positive for C. trachomatis infection. Finally he was diagnosed as having chlamydial proctitis and was treated with intramuscular ceftriaxone 250 mg in a single dose and doxycycline 100 mg orally twice daily for 7 days. After 2 months, he had no lower abdominal symptoms and his endoscopic findings were improved.
Ceftriaxone ; Chlamydia trachomatis ; Colonoscopy ; Doxycycline ; Gastroenterology ; Homosexuality ; Humans ; Inflammatory Bowel Diseases ; Lymphogranuloma Venereum ; Male ; Neisseria gonorrhoeae ; Polymerase Chain Reaction ; Proctitis ; Rectum ; Serologic Tests ; Sexually Transmitted Diseases ; Treponema pallidum ; Young Adult