Odontogenic keratocysts (OKCs) are one of the most aggressive cysts in the oral and maxillofacial area because of their high recurrence rate and infiltrative behavior. In growing patients with OKCs, a radical treatment approach might cause numerous complications, including the disturbance of jaw growth and loss of the involved tooth. This case report describes successful comprehensive orthodontic treatment combined with marsupialization of the cyst in a young girl who exhibited an OKC with impacted teeth. The 10-year-old girl presented with an OKC extending from the mandibular symphysis through the left mandibular body, with ectopic impaction of the mandibular left canine and first premolar, as well as congenitally missing bilateral mandibular second premolars. Interestingly, spontaneous improvement of the positions of the ectopic impacted teeth, along with a reduction in the size of the cyst, occurred during marsupialization. The sequential use of removable and fixed appliances enabled orthodontic traction of the impacted teeth. The treatment outcome was stable at 2.5 years after the end of the treatment. We speculate that comprehensive orthodontic treatment combined with marsupialization can be an effective treatment strategy for patients with OKCs, especially when they are encountered in young, growing patients with impacted teeth.

Bronchogenic cyst has been recognized as remnants of foregut which abnormally were developed tracheobronchial tree during embryonic period. The anomaly was found in the lung or mediastinum but rarely in the neck. Histologic diagnosis can be made by the identification of the airway tissue lined by ciliated pseudostratified columnar or cuboid epithelium. A 4-year-old patient was admitted due to increase in the size of right neck mass which was incidentally found 2 years ago. In anterior triangle of neck, soft, non-tender and movable mass was presented in right lymph node measured by 1.2X0.7 cm in size. On admission, soft and non-tender mass was palpated at the right neck between right thyroid gland and right sternocleidomastoid muscle measured by 2.0x1.0 cm in size. After the excisional operation, histopathologic examination revealed the smooth muscle and muco-serous gland lined by ciliated pseudostratified columnar epithelium, and was diagnosed of bronchogenic cyst surrounded by enlarged lymph nodes which were reflecting reactive hyperplasia. We are reporting a case of bronchogenic cyst presenting as neck mass with brief review of the literature.
Bronchogenic Cyst* ; Child ; Child, Preschool* ; Diagnosis ; Epithelium ; Humans ; Hyperplasia ; Lung ; Lymph Nodes ; Male* ; Mediastinum ; Muscle, Smooth ; Neck* ; Thyroid Gland

OBJECTIVE: The SAFARI score was introduced to assess the risk of convulsive seizure during admission for aneurysmal subarachnoid hemorrhage in 2017. This study was conducted to determine whether the SAFARI score derived from the afore-mentioned study could be applied to patients with aneurysmal subarachnoid hemorrhage in Korea. METHODS: We conducted a retrospective study of patients who were diagnosed with aneurysmal subarachnoid hemorrhage from March 2013 to October 2017. Patients' age, sex, blood pressure, pulse rate, body temperature, Glasgow-Coma Scale, Hunt-Hess scale, modified Fisher grade, size of ruptured aneurysm, surgery type, transfusion, and SAFARI score were compared between the seizure and non-seizure groups. The area under the receiver operator characteristic curves was calculated to evaluate the predictive ability for seizure during admission. Logistic regression analysis was used to analyze predictive factors for seizure during admission. RESULTS: A total of 220 patients were included. Ninety-seven (44.1%) were male and 123 (55.9%) were female. The mean age of the patients was 65.8 years old (range, 56–75). The area under the curve of the SAFARI score for predicting seizure was 0.813. The SAFARI score was the only significant predictor of seizure during admission, while other factors were not statistically significant upon logistic regression analysis. CONCLUSION: The SAFARI score could be used for predicting seizure during admission in patients with aneurysmal subarachnoid hemorrhage.
Aneurysm* ; Aneurysm, Ruptured ; Blood Pressure ; Body Temperature ; Female ; Heart Rate ; Humans ; Korea ; Logistic Models ; Male ; Retrospective Studies ; Seizures* ; Subarachnoid Hemorrhage*

"The computer-based electronic academy of anatomy as the ideal goal", we made this concept to a reality by establishing ANATOMY forum in a nationwide bulletin board system. The concept of ANATOMY forum was designed at a small group meeting of members in Korean Association of Anatomist on October, 1992. Beginning on October 8, 1993, ANATOMY forum offers bulletins, file transfers and citizen band emulation for the anatomist as well as anyone who wants to join. We are providing library area for file transfer with four different library sections-EDUCATION, RESEARCH, INFORMATION OF ACADEMIC SOCIETY and ANATOMY IN GENERAL. In the bulletins we have two kinds of message area. One includes five message sections for the use of all members, consisting of NOTICE, LIBRARY INFORMATION, FOR MEDICAL PERSONNEL, QUESTION and ANSWER and MISCELLANEOUS NOTEBOOK. The another message area is for the executive use of anatomist, including five sections-EDUCATION, LABORATORY, RESTING PLACE, ACADEMIC SOCIETY and CONFERENCE ROOM. Currently we have 115 useful files in the library section, and more than 4,000 informative messages in the bulletins. The number of members of ANATOMY forum is now over than 1,000 including 48 anatomists of the most medical schools in Korea. The majority of the members are medical personnel and medical students. The ANATOMY forum is a group of people who wants to exchange ideas and informations on medical science and anatomy-related topics.
Anatomists ; Education* ; Group Processes ; Humans ; Korea ; Schools, Medical ; Students, Medical ; Telecommunications*

Background/Aims: Shifts in the gut microbiota and metabolites are interrelated with liver cirrhosis progression and complications. However, causal relationships have not been evaluated comprehensively. Here, we identified complication-dependent gut microbiota and metabolic signatures in patients with liver cirrhosis. Methods: Microbiome taxonomic profiling was performed on 194 stool samples (52 controls and 142 cirrhosis patients) via V3-V4 16S rRNA sequencing. Next, 51 samples (17 controls and 34 cirrhosis patients) were selected for fecal metabolite profiling via gas chromatography mass spectrometry and liquid chromatography coupled to timeof-flight mass spectrometry. Correlation analyses were performed targeting the gut-microbiota, metabolites, clinical parameters, and presence of complications (varices, ascites, peritonitis, encephalopathy, hepatorenal syndrome, hepatocellular carcinoma, and deceased). Results: Veillonella bacteria, Ruminococcus gnavus, and Streptococcus pneumoniae are cirrhosis-related microbiotas compared with control group. Bacteroides ovatus, Clostridium symbiosum, Emergencia timonensis, Fusobacterium varium, and Hungatella_uc were associated with complications in the cirrhosis group. The areas under the receiver operating characteristic curve (AUROCs) for the diagnosis of cirrhosis, encephalopathy, hepatorenal syndrome, and deceased were 0.863, 0.733, 0.71, and 0.69, respectively. The AUROCs of mixed microbial species for the diagnosis of cirrhosis and complication were 0.808 and 0.847, respectively. According to the metabolic profile, 5 increased fecal metabolites in patients with cirrhosis were biomarkers (AUROC >0.880) for the diagnosis of cirrhosis and complications. Clinical markers were significantly correlated with the gut microbiota and metabolites. Conclusions Cirrhosis-dependent gut microbiota and metabolites present unique signatures that can be used as noninvasive biomarkers for the diagnosis of cirrhosis and its complications.

Background/Aims: Shifts in the gut microbiota and metabolites are interrelated with liver cirrhosis progression and complications. However, causal relationships have not been evaluated comprehensively. Here, we identified complication-dependent gut microbiota and metabolic signatures in patients with liver cirrhosis. Methods: Microbiome taxonomic profiling was performed on 194 stool samples (52 controls and 142 cirrhosis patients) via V3-V4 16S rRNA sequencing. Next, 51 samples (17 controls and 34 cirrhosis patients) were selected for fecal metabolite profiling via gas chromatography mass spectrometry and liquid chromatography coupled to timeof-flight mass spectrometry. Correlation analyses were performed targeting the gut-microbiota, metabolites, clinical parameters, and presence of complications (varices, ascites, peritonitis, encephalopathy, hepatorenal syndrome, hepatocellular carcinoma, and deceased). Results: Veillonella bacteria, Ruminococcus gnavus, and Streptococcus pneumoniae are cirrhosis-related microbiotas compared with control group. Bacteroides ovatus, Clostridium symbiosum, Emergencia timonensis, Fusobacterium varium, and Hungatella_uc were associated with complications in the cirrhosis group. The areas under the receiver operating characteristic curve (AUROCs) for the diagnosis of cirrhosis, encephalopathy, hepatorenal syndrome, and deceased were 0.863, 0.733, 0.71, and 0.69, respectively. The AUROCs of mixed microbial species for the diagnosis of cirrhosis and complication were 0.808 and 0.847, respectively. According to the metabolic profile, 5 increased fecal metabolites in patients with cirrhosis were biomarkers (AUROC >0.880) for the diagnosis of cirrhosis and complications. Clinical markers were significantly correlated with the gut microbiota and metabolites. Conclusions Cirrhosis-dependent gut microbiota and metabolites present unique signatures that can be used as noninvasive biomarkers for the diagnosis of cirrhosis and its complications.

Background/Aims: Shifts in the gut microbiota and metabolites are interrelated with liver cirrhosis progression and complications. However, causal relationships have not been evaluated comprehensively. Here, we identified complication-dependent gut microbiota and metabolic signatures in patients with liver cirrhosis. Methods: Microbiome taxonomic profiling was performed on 194 stool samples (52 controls and 142 cirrhosis patients) via V3-V4 16S rRNA sequencing. Next, 51 samples (17 controls and 34 cirrhosis patients) were selected for fecal metabolite profiling via gas chromatography mass spectrometry and liquid chromatography coupled to timeof-flight mass spectrometry. Correlation analyses were performed targeting the gut-microbiota, metabolites, clinical parameters, and presence of complications (varices, ascites, peritonitis, encephalopathy, hepatorenal syndrome, hepatocellular carcinoma, and deceased). Results: Veillonella bacteria, Ruminococcus gnavus, and Streptococcus pneumoniae are cirrhosis-related microbiotas compared with control group. Bacteroides ovatus, Clostridium symbiosum, Emergencia timonensis, Fusobacterium varium, and Hungatella_uc were associated with complications in the cirrhosis group. The areas under the receiver operating characteristic curve (AUROCs) for the diagnosis of cirrhosis, encephalopathy, hepatorenal syndrome, and deceased were 0.863, 0.733, 0.71, and 0.69, respectively. The AUROCs of mixed microbial species for the diagnosis of cirrhosis and complication were 0.808 and 0.847, respectively. According to the metabolic profile, 5 increased fecal metabolites in patients with cirrhosis were biomarkers (AUROC >0.880) for the diagnosis of cirrhosis and complications. Clinical markers were significantly correlated with the gut microbiota and metabolites. Conclusions Cirrhosis-dependent gut microbiota and metabolites present unique signatures that can be used as noninvasive biomarkers for the diagnosis of cirrhosis and its complications.

Background/Aims: Shifts in the gut microbiota and metabolites are interrelated with liver cirrhosis progression and complications. However, causal relationships have not been evaluated comprehensively. Here, we identified complication-dependent gut microbiota and metabolic signatures in patients with liver cirrhosis. Methods: Microbiome taxonomic profiling was performed on 194 stool samples (52 controls and 142 cirrhosis patients) via V3-V4 16S rRNA sequencing. Next, 51 samples (17 controls and 34 cirrhosis patients) were selected for fecal metabolite profiling via gas chromatography mass spectrometry and liquid chromatography coupled to timeof-flight mass spectrometry. Correlation analyses were performed targeting the gut-microbiota, metabolites, clinical parameters, and presence of complications (varices, ascites, peritonitis, encephalopathy, hepatorenal syndrome, hepatocellular carcinoma, and deceased). Results: Veillonella bacteria, Ruminococcus gnavus, and Streptococcus pneumoniae are cirrhosis-related microbiotas compared with control group. Bacteroides ovatus, Clostridium symbiosum, Emergencia timonensis, Fusobacterium varium, and Hungatella_uc were associated with complications in the cirrhosis group. The areas under the receiver operating characteristic curve (AUROCs) for the diagnosis of cirrhosis, encephalopathy, hepatorenal syndrome, and deceased were 0.863, 0.733, 0.71, and 0.69, respectively. The AUROCs of mixed microbial species for the diagnosis of cirrhosis and complication were 0.808 and 0.847, respectively. According to the metabolic profile, 5 increased fecal metabolites in patients with cirrhosis were biomarkers (AUROC >0.880) for the diagnosis of cirrhosis and complications. Clinical markers were significantly correlated with the gut microbiota and metabolites. Conclusions Cirrhosis-dependent gut microbiota and metabolites present unique signatures that can be used as noninvasive biomarkers for the diagnosis of cirrhosis and its complications.