Background: There has been no comparison of the determinants of admission route between acute ischemic stroke (AIS) and acute myocardial infarction (AMI). We examined whether factors associated with direct versus transferred-in admission to regional cardiocerebrovascular centers (RCVCs) differed between AIS and AMI. Methods: Using a nationwide RCVC registry, we identified consecutive patients presenting with AMI and AIS between July 2016 and December 2018. We explored factors associated with direct admission to RCVCs in patients with AIS and AMI and examined whether those associations differed between AIS and AMI, including interaction terms between each factor and disease type in multivariable models. To explore the influence of emergency medical service (EMS) paramedics on hospital selection, stratified analyses according to use of EMS were also performed. Results: Among the 17,897 and 8,927 AIS and AMI patients, 66.6% and 48.2% were directly admitted to RCVCs, respectively. Multivariable analysis showed that previous coronary heart disease, prehospital awareness, higher education level, and EMS use increased the odds of direct admission to RCVCs, but the odds ratio (OR) was different between AIS and AMI (for the first 3 factors, AMI > AIS; for EMS use, AMI < AIS). EMS use was the single most important factor for both AIS and AMI (OR, 4.72 vs. 3.90). Hypertension and hyperlipidemia increased, while living alone decreased the odds of direct admission only in AMI;additionally, age (65–74 years), previous stroke, and presentation during non-working hours increased the odds only in AIS. EMS use weakened the associations between direct admission and most factors in both AIS and AMI. Conclusions Various patient factors were differentially associated with direct admission to RCVCs between AIS and AMI. Public education for symptom awareness and use of EMS is essential in optimizing the transportation and hospitalization of patients with AMI and AIS.

Objective: Recent studies have suggested that deep-learning models can satisfactorily assist in fracture diagnosis. We aimed to evaluate the performance of two of such models in wrist fracture detection. Methods: We collected image data of patients who visited with wrist trauma at the emergency department. A dataset extracted from January 2018 to May 2020 was split into training (90%) and test (10%) datasets, and two types of convolutional neural networks (i.e., DenseNet-161 and ResNet-152) were trained to detect wrist fractures. Gradient-weighted class activation mapping was used to highlight the regions of radiograph scans that contributed to the decision of the model. Performance of the convolutional neural network models was evaluated using the area under the receiver operating characteristic curve. Results: For model training, we used 4,551 radiographs from 798 patients and 4,443 radiographs from 1,481 patients with and without fractures, respectively. The remaining 10% (300 radiographs from 100 patients with fractures and 690 radiographs from 230 patients without fractures) was used as a test dataset. The sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of DenseNet-161 and ResNet-152 in the test dataset were 90.3%, 90.3%, 80.3%, 95.6%, and 90.3% and 88.6%, 88.4%, 76.9%, 94.7%, and 88.5%, respectively. The area under the receiver operating characteristic curves of DenseNet-161 and ResNet-152 for wrist fracture detection were 0.962 and 0.947, respectively. Conclusion We demonstrated that DenseNet-161 and ResNet-152 models could help detect wrist fractures in the emergency room with satisfactory performance.

Objective: Recent studies have suggested that deep-learning models can satisfactorily assist in fracture diagnosis. We aimed to evaluate the performance of two of such models in wrist fracture detection. Methods: We collected image data of patients who visited with wrist trauma at the emergency department. A dataset extracted from January 2018 to May 2020 was split into training (90%) and test (10%) datasets, and two types of convolutional neural networks (i.e., DenseNet-161 and ResNet-152) were trained to detect wrist fractures. Gradient-weighted class activation mapping was used to highlight the regions of radiograph scans that contributed to the decision of the model. Performance of the convolutional neural network models was evaluated using the area under the receiver operating characteristic curve. Results: For model training, we used 4,551 radiographs from 798 patients and 4,443 radiographs from 1,481 patients with and without fractures, respectively. The remaining 10% (300 radiographs from 100 patients with fractures and 690 radiographs from 230 patients without fractures) was used as a test dataset. The sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of DenseNet-161 and ResNet-152 in the test dataset were 90.3%, 90.3%, 80.3%, 95.6%, and 90.3% and 88.6%, 88.4%, 76.9%, 94.7%, and 88.5%, respectively. The area under the receiver operating characteristic curves of DenseNet-161 and ResNet-152 for wrist fracture detection were 0.962 and 0.947, respectively. Conclusion We demonstrated that DenseNet-161 and ResNet-152 models could help detect wrist fractures in the emergency room with satisfactory performance.

The author's name and the institutional affiliation of the authors were published incorrectly.
Cemeteries* ; Seoul ; Skeleton*

Stable carbon and nitrogen isotope analysis reveals the diets of different human populations in history. In this study, we performed stable isotope analysis on human skeletons from Joseon-period cemeteries discovered around Old Seoul City (Hansung). Our data clearly showed that Joseon individuals consumed more C3-based than C4-based foods as the main staples, and that the proteins they ate were mainly of terrestrial, but not of marine origin. Stable isotope values exhibited unique patterns in each of our sample subgroups. Whereas the delta13C values did not show any statistical differences among the subgroups, significantly higher values of delta15N were found in males than in females, which might reflect dietary differences between the sexes. For a fuller understanding of the dietary patterns of pre-industrial (pre-20th century) Koreans, additional studies on Joseon samples from Korean archaeological sites will be necessary.
Carbon ; Cemeteries* ; Diet ; Female ; Humans ; Male ; Nitrogen ; Seoul ; Skeleton*

Choledochal cysts are rare congenital anomalies which are principally diagnosed by disproportional dilatation of the extrahepatic bile ducts. In addition, choledochal cysts are believed to arise from the anomalous union of the common bile duct and pancreatic duct outside the duodenal wall which is also proximal to the sphincter of the Oddi mechanism. The various types of choledochal cysts have been classified on the basis of these anomalous unions (Komi classification) and their anatomical locations (Todani classification). The multidetector computed tomography with reformatted imaging, magnetic resonance cholangiopancreatography, and an endoscopic retrograde cholangiography represent the important techniques providing the anatomical resolution and detail required to properly diagnose and classify choledochal cysts and their associated abnormal features of the biliary tree, as well as their pancreaticobile duct union. This study describes the various imaging features of a choledochal cyst in adults according to the various types of anomalous unions of the pancreaticobile duct according to Komi's classification and anatomic location according to Todani's classification. Lastly, we also review and discuss the associated abnormal findings developed in biliary systems.
Adult ; Cholangiopancreatography, Endoscopic Retrograde ; Cholangiopancreatography, Magnetic Resonance ; Choledochal Cyst/classification/*diagnosis ; Humans ; Pancreatic Ducts/abnormalities

PURPOSE: To assess the incidence and diagnostic role of hyperechoic inflammatory fatty tissue (HIFT) in transabdominal ultrasonography (TAUS) for acute abdomen. MATERIALS AND METHODS: With TAUS, we examined 98 consecutive patients (68 women, 30 men; mean age, 32 years; age range, 4-84 years) having acute abdominal pain. We examined the abdomen and pelvis by TAUS to determine the cause of acute abdomen, to check for the presence of HIFT, and to investigate whether it was easier and earlier to find the main cause and HIFT presence. We also prospectively evaluated the shape, distribution, and diagnostic role of HIFT. Final diagnoses consisted of 47 cases of acute appendicitis, 14 of enterocolitis, 13 of PID, 7 of gynecological hemoperitoneum, 5 of colonic diverticulitis, 3 of ovarian torsion, 2 of colon perforation, 2 of only presence of non-specific HIFT, 1 of mesenteric lymphadenitis, and 4 of normal. RESULTS: HIFT were seen in 67 patients (68.4%), including 44/47(93.6%) of acute appendicitis, 2/14(14.3%) of enterocolitis, 11/13(84.6%) of PID, 0/7 of hemoperitoneum, 5/5 of colonic diverticulitis, 0/3 of ovarian torsion, 2/2 of colon perforation, and 1/1 mesenteric lymphadenitis. HIFT were detected earlier than the main cause in 17/44 of acute appendicitis, 6/11 of PID, and 4/5 of colonic diverticulitis. In acute appendicitis, the shape of HIFT appeared as fat thickening along the mesoappendix in 12/44, fat thickening along the mesoappendix and the opposite side in 13/44, fat encircled appendix in 6/44, fatty mass wrapping abscess in 10/44, and diffuse intraperitoneal fat thickening in 3/44. In PID, HIFT appeared as a single fatty mass in the pelvis and lower abdomen in 6/11, wrapping pelvic abscess in 2/11, and multiple fatty masses scattered in abdomen and pelvis in 3/11. In colonic diverticulitis, all 5 cases appeared as hyperechoic hemispheric mass covering the inflamed diverticulum. CONCLUSION: HIFT are a usual US finding in patients with acute abdomen, particularly on abdominal and pelvic inflammatory conditions, and they appear with characteristic shape and location in each disease. Therefore, earlier detection of HIFT using TAUS may be useful to make differential diagnosis and find complication in acute abdomen.
Abdomen ; Abdomen, Acute* ; Abdominal Pain ; Abscess ; Adipose Tissue* ; Appendicitis ; Appendix ; Colon ; Diagnosis ; Diagnosis, Differential ; Diverticulitis, Colonic ; Diverticulum ; Enterocolitis ; Female ; Hemoperitoneum ; Humans ; Incidence ; Male ; Mesenteric Lymphadenitis ; Pelvis ; Prospective Studies ; Ultrasonography*

BACKGROUND AND OBJECTIVES: Chronobiological rhythms have been shown to influence the occurrence of a variety of cardiovascular disorders, including acute myocardial infarction (AMI). The present study investigated whether the onset of acute aortic syndrome (AAS) has unique chronobiological rhythms in Korean populations. SUBJECTS AND METHODS: The clinical data of 371 consecutive AAS patients, admitted between 1993 and 2003, were retrospectively analyzed; 310 AMI patients, who underwent primary percutaneous angioplasty in the hyperacute phase between 1998 and 2001, were also selected. RESULTS: In the AAS group, the final diagnoses were aortic dissection (AD) and aortic intramural hematoma (AIH) in 212 and 159 patients, respectively Similar to AMI, AAS showed a significantly higher occurrence from 6 AM to noon compared with other time periods (p=0.0013). AAS showed a second peak occurrence from 6 PM to midnight, which was not observed in the AMI group. A subgroup analysis revealed that younger patients (age < 60 years) and those with a past medical history of hypertension had the highest occurrence from 6 PM to midnight, which was quite different compared to the AAS patients. No significant variation was found for the day of the week in either group. Although no significant seasonal variation was observed in the frequency of AMI, the frequency of AAS was significantly higher during winter (p<0.001). The circadian and seasonal variations in the frequency of AIH were similar to those of AD. CONCLUSION: AAS shows unique circadian and seasonal variations in Korean populations. Our findings may have implications for the prevention of AAS by tailoring treatment strategies to ensure maximal benefits during the vulnerable periods.
Angioplasty ; Circadian Rhythm ; Diagnosis ; Hematoma ; Humans ; Hypertension ; Myocardial Infarction* ; Retrospective Studies ; Seasons

Focal nodular hyperplasia (FNH) is characterized by the presence a central scar with radiating fibrous septa. Our case had a capsular retraction, which was the result of an extension of the central scar to the surface. In addition, a hypointense scar on the T2-weighted image and a minimal enhancing central scar on the enhanced T1-weighted image, which was due to dense, sclerotic collagenous tissue, were observed. We report the first case of FNH with a capsular retraction.

OBJECTIVE: This study was to evaluate the correlation of clinical symptoms and physical signs with electrodiagnostic findings in carpal tunnel syndrome (CTS), and to increase the usefulness of clinical symptoms and physical signs in the diagnosis of CTS. METHOD: We prospectively identified 322 hands from 172 subjects clinically from 5 tertiary hospitals. All subjects completed 6 clinical symptoms and 6 physical signs including 3 provocative tests. Each symptoms and signs were divided motor and sensory symptoms and signs, and the correlation between symptoms and signs and the results of motor and sensory conduction studies and needle electromyography were evaluated. The sensitivity and specificity of each valuable symptoms and signs for electrodiagnostic results were also assessed. RESULTS: Tingling sensation, nocturnal pain, worsening, and Phalen sign were correlated with motor conduction study, and falling tendency, abductor pollicis brevis weakness and atrophy, tingling sensation, hypoesthesia, and Tinel and Phalen signs were correlated with needle electromyography. The Phalen sign had the best sensitivity and specificity for median motor conduction study, and the best sensitive physical sign for needle electromyography. CONCLUSION: Motor and sensory symptoms and signs were not correlated with motor and sensory conduction studies, but motor symptoms and signs were correlated with needle electromyography. The Phalen test was the most useful evaluating tool to diagnose CTS.
Atrophy ; Carpal Tunnel Syndrome* ; Diagnosis ; Electrodiagnosis ; Electromyography ; Hand ; Hypesthesia ; Needles ; Prospective Studies ; Sensation ; Sensitivity and Specificity ; Tertiary Care Centers