No abstract available.
Adrenalectomy* ; Multiple Endocrine Neoplasia* ; Pheochromocytoma*

No abstract available.
Appendicitis* ; Diagnosis*

No abstract available.
C-Peptide* ; Child* ; Diabetes Mellitus* ; Histocompatibility Testing* ; Humans ; Insulin* ; Islets of Langerhans*

No abstract available.
Carcinoma, Squamous Cell* ; Epithelial Cells* ; Porokeratosis*

Alveolar Ridge Augmentation ; Dental Implants ; Esthetics ; Humans ; Osseointegration ; Osteogenesis, Distraction ; Osteotomy ; Prostheses and Implants ; Tissue Expansion ; Titanium

Leiomyosarcoma (LMS) within the scrotum is a rare malignant genitourinary tumor in adults. Due to its rarity, a consensus on a clear approach to diagnosis and treatment guidelines has not yet been reached. We present a case of a paratesticular LMS in a 64-yearold man with a painless swelling of the right scrotum. Scrotal ultrasound and pelvic MRI were performed and revealed an extratesticular mass with a heterogeneous appearance.The patient underwent a right radical orchiectomy, and the mass was confirmed to be LMS, originating from the right spermatic cord. Preoperative diagnosis of LMS is challenging since it has overlapping clinical and imaging features with other sarcomas. MRI is a valuable imaging modality for the definitive characterization of the tumor. To provide timely and appropriate treatment, the correlation of the patient’s clinical information and imaging findings is necessary.

No abstract available.
Cicatrix* ; Lasers, Dye* ; Sarcoidosis*

BACKGROUND AND OBJECTIVES: To determine appropriate counseling time for the first hearing aids user, we measured the effectiveness of first counseling time limit of 20 minutes for those who need hearing aids and collected predictive parameters during history taking. SUBJECTS AND METHOD: We reviewed the medical records of 956 patients (age 66.5±12.1) with hearing impairment who needed hearing aids. We divided patients into two groups, those who had counseling time limited to 20 minutes and others who had no time limitation. Job status, working condition of noise status, social activity and audiological variables were analyzed as probable predicting factors influencing the purchasing of the hearing aid (penetration rate). RESULTS: Of the total 956 patients, 48.64% of subjects decided to purchase hearing aids at first counseling. The two groups showed no significant difference (p=0.396): 49.81% of the group without time limitation purchased the hearing aid and 47.04% of those with time limitation purchased the aid. The social status, right side pure tone threshold and right side tinnitus were significant for calculating the explanation power (64.15%) in the hearing aid uptake probability equation. CONCLUSION: The level of social activity, hearing threshold and tinnitus were predictive variables obtained during the counseling. The time limitation of 20 minutes did not affect the rate of decision to purchase hearing aids. These results might help hearing clinics improve efficient time management at hearing aid clinics.

Objectives: Since protecting patients’ privacy is a major concern in clinical research, there has been a growing need for privacy-preserving data analysis platforms. For this purpose, a federated learning (FL) method based on the Observational Medical Outcomes Partnership (OMOP) common data model (CDM) was implemented, and its feasibility was demonstrated. Methods: We implemented an FL platform on FeederNet, which is a distributed clinical data analysis platform based on the OMOP CDM in Korea. We trained it through an artificial neural network (ANN) using data from patients who received steroid prescriptions or injections, with the aim of predicting the occurrence of side effects depending on the prescribed dose. The ANN was trained using the FL platform with the OMOP CDMs of Kyung Hee University Medical Center (KHMC) and Ajou University Hospital (AUH). Results: The area under the receiver operating characteristic curves (AUROCs) for predicting bone fracture, osteonecrosis, and osteoporosis using only data from each hospital were 0.8426, 0.6920, and 0.7727 for KHMC and 0.7891, 0.7049, and 0.7544 for AUH, respectively. In contrast, when using FL, the corresponding AUROCs were 0.8260, 0.7001, and 0.7928 for KHMC and 0.7912, 0.8076, and 0.7441 for AUH, respectively. In particular, FL led to a 14% improvement in performance for osteonecrosis at AUH. Conclusions FL can be performed with the OMOP CDM, and FL often shows better performance than using only a single institution's data. Therefore, research using OMOP CDM has been expanded from statistical analysis to machine learning so that researchers can conduct more diverse research.