Deep learning system for automated detection of posterior ligamentous complex injury in patients with thoracolumbar fracture on MRI.

This study aimed to develop a deep learning (DL) algorithm for automated detection and localization of posterior ligamentous complex (PLC) injury in patients with acute thoracolumbar (TL) fracture on magnetic resonance imaging (MRI) and evaluate its diagnostic performance. In this retrospective multicenter study, using midline sagittal T2-weighted image with fracture (± PLC injury), a training dataset and internal and external validation sets of 300, 100, and 100 patients, were constructed with equal numbers of injured and normal PLCs. The DL algorithm was developed through two steps (Attention U-net and Inception-ResNet-V2). We evaluate the diagnostic performance for PLC injury between the DL algorithm and radiologists with different levels of experience. The area under the curves (AUCs) generated by the DL algorithm were 0.928, 0.916 for internal and external validations, and by two radiologists for observer performance test were 0.930, 0.830, respectively. Although no significant difference was found in diagnosing PLC injury between the DL algorithm and radiologists, the DL algorithm exhibited a trend of higher AUC than the radiology trainee. Notably, the radiology trainee's diagnostic performance significantly improved with DL algorithm assistance. Therefore, the DL algorithm exhibited high diagnostic performance in detecting PLC injuries in acute TL fractures.

Fifteen-year Experience with Telemedicine Services in Gangwon Province in Korea.

OBJECTIVES: This study attempted to identify the factors that contribute to successful telemedicine service. This was done by analyzing the operational state of successful telemedicine services offered in Gangwon Province of Korea and their outcome for the last fifteen years. METHODS: A comparative analysis was made based on reports and a thesis on the satisfaction rate of patients and providers, patient compliance to treatment, and economic assessment of Gangwon telemedicine service, which were carried out in three periods: the years 2006, 2010, and 2012. RESULTS: The satisfaction surveys in all three periods showed similar results for patients (4.46±0.70 point) and healthcare practitioners, including nurses (3.82±0.62 point) and physicians (3.60±0.56 point), in decreasing order from the year 2012. Through the survey of patients' compliance with treatment, it was confirmed that telemedicine services increased patients' compliance with drug administration, facilitated improvement of lifestyle habits, improved glycated hemoglobin for patients with diabetes mellitus, and enhanced the rate of blood pressure control. In the survey conducted on patients' willingness to pay for telemedicine services in 2007, it was found that those patients were willing to pay about $3.5 for services. CONCLUSIONS: The telemedicine services of Gangwon Province increased patients' compliance with drug administration, improved blood glucose control, enhanced blood pressure control for patients with hypertension, and provided economic advantage.

Uterine leiomyosarcoma in a wild rat (Rattus norvegicus): usefulness of Ki-67 labeling index for diagnosis.

Uterine smooth muscle tumor is very rare in laboratory rats and, there has been no report in the wild rodents. Among a total of 400 wild rats captured in Gyeonggi, Gangwon, and Chungbuk provinces of Korea in 2007, 2010, and 2011, we found a uterine spindle cell tumor, diagnosed as smooth muscle cell origin based on differential features of histology and immunohistochemistry. Its incidence was very low, like in the laboratory rats, as under 0.5% for female. Considering generally applied histological and cellular criteria, this case was difficult in differential diagnosis between benign and malignant. Ki-67 labeling index was therefore further investigated, and it ranged from 26.4 to 37.6% in the 10 different areas, representing an average of 32.9±0.05%. The Ki-67 labeling index of neoplastic cells near the necrotic area was recorded as 83.5%. According to such high Ki-67 labeling index, it was more likely a malignant leiomyosarcoma, assenting to the previous proposal that Ki-67 labeling index is a significant criterion to differentiate between malignant and benign in the smooth muscle tumors.

Genetic modification of human adipose-derived stem cells for promoting wound healing.

BACKGROUND: Diverse growth factors secreted from human adipocyte-derived stem cells (hASCs) that support or manage adjacent cells have been studied for therapeutic potentials to a variety of pathological models. However, senescent growth arrest in hASCs during in vitro culture and subsequent defective differentiation potential, have been technical barriers to further genetic modification of hASCs for functional improvement. OBJECTIVE: We investigated the feasibility of long-term hASC culture to enhance their therapeutic use. METHODS: We used a MYC variant to generate hASCs expressing v-myc and determined their growth potential and growth factor secretion profile. We further introduced an AKT variant to generate constitutively active (CA)-Akt/v-myc hASCs. Finally, we tested the ability of promoting wound healing of medium conditioned with CA-Akt/v-myc hASCs. RESULTS: The v-myc hASCs actively proliferated longer than control hASCs. Increased secretion of vascular endothelial growth factor (VEGF) by v-myc hASCs promoted the migration potential of hASCs and vasculogenesis in co-cultured endothelial cells. Additional genetic modification of v-myc hASCs using CA-Akt further increased VEGF secretion. In addition, injection of CA-Akt/v-myc hASCs-CM into wound-mice model promoted wound healing compared to normal hASCs-CM. CONCLUSION: Genetic modification of hASCs to stimulate secretion of growth factors is a novel strategy to maximize their paracrine effect and improve their therapeutic potential.