Spontaneous intracranial hypotension (SIH) is caused by single or multiple cerebrospinal fluid (CSF) leaks in the spine with the prototypical symptom of postural headache. One of the characteristic MRI features in SIH is intracranial venous engorgement. This report presents a case of SIH with engorgement of the bilateral superior ophthalmic veins (SOVs) which resume their normal diameters by the third day of successful epidural blood patches (EBPs). We define this phenomenon as the "reversal of the SOV" sign.
Aged ; *Blood Patch, Epidural ; Cerebrospinal Fluid Rhinorrhea/*complications ; Diagnosis, Differential ; Humans ; Intracranial Hypotension/*diagnosis/etiology/*therapy ; *Magnetic Resonance Imaging ; Male ; Orbit/*blood supply

OBJECTIVE: To investigate whether the diffusion tensor imaging-derived metrics are capable of differentiating the ischemic penumbra (IP) from the infarct core (IC), and determining stroke onset within the first 4.5 hours. MATERIALS AND METHODS: All procedures were approved by the local animal care committee. Eight of the eleven rats having permanent middle cerebral artery occlusion were included for analyses. Using a 7 tesla magnetic resonance system, the relative cerebral blood flow and apparent diffusion coefficient maps were generated to define IP and IC, half hour after surgery and then every hour, up to 6.5 hours. Relative fractional anisotropy, pure anisotropy (rq) and diffusion magnitude (rL) maps were obtained. One-way analysis of variance, receiver operating characteristic curve and nonlinear regression analyses were performed. RESULTS: The evolutions of tensor metrics were different in ischemic regions (IC and IP) and topographic subtypes (cortical, subcortical gray matter, and white matter). The rL had a significant drop of 40% at 0.5 hour, and remained stagnant up to 6.5 hours. Significant differences (p < 0.05) in rL values were found between IP, IC, and normal tissue for all topographic subtypes. Optimal rL threshold in discriminating IP from IC was about -29%. The evolution of rq showed an exponential decrease in cortical IC, from -26.9% to -47.6%; an rq reduction smaller than 44.6% can be used to predict an acute stroke onset in less than 4.5 hours. CONCLUSION: Diffusion tensor metrics may potentially help discriminate IP from IC and determine the acute stroke age within the therapeutic time window.
Animal Care Committees ; Animals ; Anisotropy ; Cerebrovascular Circulation ; Diffusion Tensor Imaging ; Diffusion* ; Gray Matter ; Infarction, Middle Cerebral Artery ; Models, Animal* ; Rats* ; ROC Curve ; Stroke

Background: The turnover rate of nurse aides in Taiwan is high. However, the predictors of turnover behavior in the newly employed are still unclear. Objective: To examine the predictors of turnover behavior in newly employed licensed nurse aides. Methods: A longitudinal study design was used and subjects were newly employed certified nurse aides from a nurse aid training association in Taiwan. A total of five questionnaire surveys were conducted. The questionnaire was mainly used to collect information on turnover behavior, personal socioeconomic background, workplace psychosocial hazards, worker health hazards, and musculoskeletal disorders. Results: A total of 300 participants were recruited in the study. Cox regression analysis results showed that short working experience (hazard ratio [HR] = 0.21, p < 0.01), work as non-home nurse aides (HR = 0.58, p = 0.01), low monthly salary (HR = 0.68, p < 0.01), high work mental load (HR = 1.01, p = 0.01), low workplace justice (HR = 0.97, p < 0.01), high workplace violence (HR = 1.60, p < 0.01), high burnout (HR = 1.01, p = 0.04), poor mental health (HR = 1.06, p = 0.04), and high total number of musculoskeletal disorder sites (HR = 1.08, p = 0.01) contribute to a higher risk of turnover. Conclusion The results indicated that employment period, work as a home nurse aide, monthly salary, work mental load, workplace justice, workplace violence, work-related burnout, mental health, and total number of musculoskeletal disorder sites are predictors of turnover behavior in newly employed certified nurse aides.

OBJECTIVE: The aim of this study was to investigate diffusion tensor (DT) imaging-derived properties of benign oligemia, true “at risk” penumbra (TP), and the infarct core (IC) during the first 3 hours of stroke onset. MATERIALS AND METHODS: The study was approved by the local animal care and use committee. DT imaging data were obtained from 14 rats after permanent middle cerebral artery occlusion (pMCAO) using a 7T magnetic resonance scanner (Bruker) in room air. Relative cerebral blood flow and apparent diffusion coefficient (ADC) maps were generated to define oligemia, TP, IC, and normal tissue (NT) every 30 minutes up to 3 hours. Relative fractional anisotropy (rFA), pure anisotropy (rq), diffusion magnitude (rL), ADC (rADC), axial diffusivity (rAD), and radial diffusivity (rRD) values were derived by comparison with the contralateral normal brain. RESULTS: The mean volume of oligemia was 24.7 ± 14.1 mm³, that of TP was 81.3 ± 62.6 mm³, and that of IC was 123.0 ± 85.2 mm³ at 30 minutes after pMCAO. rFA showed an initial paradoxical 10% increase in IC and TP, and declined afterward. The rq, rL, rADC, rAD, and rRD showed an initial discrepant decrease in IC (from −24% to −36%) as compared with TP (from −7% to −13%). Significant differences (p < 0.05) in metrics, except rFA, were found between tissue subtypes in the first 2.5 hours. The rq demonstrated the best overall performance in discriminating TP from IC (accuracy = 92.6%, area under curve = 0.93) and the optimal cutoff value was −33.90%. The metric values for oligemia and NT remained similar at all time points. CONCLUSION: Benign oligemia is small and remains microstructurally normal under pMCAO. TP and IC show a distinct evolution of DT-derived properties within the first 3 hours of stroke onset, and are thus potentially useful in predicting the fate of ischemic brain.
Animals ; Anisotropy ; Area Under Curve ; Brain ; Cerebrovascular Circulation ; Diffusion Tensor Imaging ; Diffusion* ; Infarction, Middle Cerebral Artery ; Models, Animal* ; Rats* ; Stroke*

OBJECTIVE: Logistic regression analysis (LRA), Support Vector Machine (SVM) and a neural network (NN) are commonly used statistical models in computer-aided diagnostic (CAD) systems for breast ultrasonography (US). The aim of this study was to clarify the diagnostic ability of the use of these statistical models for future applications of CAD systems, such as three-dimensional (3D) power Doppler imaging, vascularity evaluation and the differentiation of a solid mass. MATERIALS AND METHODS: A database that contained 3D power Doppler imaging pairs of non-harmonic and tissue harmonic images for 97 benign and 86 malignant solid tumors was utilized. The virtual organ computer-aided analysis-imaging program was used to analyze the stored volumes of the 183 solid breast tumors. LRA, an SVM and NN were employed in comparative analyses for the characterization of benign and malignant solid breast masses from the database. RESULTS: The values of area under receiver operating characteristic (ROC) curve, referred to as Az values for the use of non-harmonic 3D power Doppler US with LRA, SVM and NN were 0.9341, 0.9185 and 0.9086, respectively. The Az values for the use of harmonic 3D power Doppler US with LRA, SVM and NN were 0.9286, 0.8979 and 0.9009, respectively. The Az values of six ROC curves for the use of LRA, SVM and NN for non-harmonic or harmonic 3D power Doppler imaging were similar. CONCLUSION: The diagnostic performances of these three models (LRA, SVM and NN) are not different as demonstrated by ROC curve analysis. Depending on user emphasis for the use of ROC curve findings, the use of LRA appears to provide better sensitivity as compared to the other statistical models.
Adolescent ; Adult ; Aged ; Aged, 80 and over ; *Artificial Intelligence ; Breast Neoplasms/*ultrasonography ; Diagnosis, Computer-Assisted ; Diagnosis, Differential ; Female ; Humans ; Image Interpretation, Computer-Assisted ; Imaging, Three-Dimensional/*statistics & numerical data ; Logistic Models ; Middle Aged ; *Neural Networks (Computer) ; Predictive Value of Tests ; ROC Curve ; Sensitivity and Specificity ; Ultrasonography, Doppler/*statistics & numerical data ; Ultrasonography, Mammary/*statistics & numerical data

After bathing at a hot spring resort, a 75-year-old man presented to the emergency department because of seizure-like attack with loss of conscious. This is the first case of primary amebic meningoencephalitis (PAM) caused by Naegleria fowleri in Taiwan. PAM was diagnosed based on detection of actively motile trophozoites in cerebrospinal fluid using a wet-mount smear and the Liu's stain. The amoebae were further confirmed by PCR and gene sequencing. In spite of administering amphotericin B treatment, the patient died 25 days later.
Aged ; Amebiasis/*diagnosis/parasitology/*pathology ; Central Nervous System Protozoal Infections/*diagnosis/parasitology/*pathology ; Cerebrospinal Fluid/parasitology ; DNA, Protozoan/chemistry/genetics ; Fatal Outcome ; Humans ; Male ; Microscopy ; Naegleria fowleri/classification/genetics/*isolation & purification ; Polymerase Chain Reaction ; Sequence Analysis, DNA ; Taiwan

BACKGROUND AND PURPOSE: The requirement for neurology liaison is increasing in accordance with the growing health care demands associated with aging populations. The aim of this study was to characterize the nature of neurological inpatient liaisons (NILs) to help plan for the appropriate use of neurology resources. METHODS: This was a retrospective cross-sectional study of NILs in a secondary referral hospital over a 12-month period. RESULTS: There were 853 neurological consultations with a liaison rate of 3% per admission case. Chest medicine, gastroenterology, and infectious disease were the three most frequent specialties requesting liaison, and altered consciousness, seizure, and stroke were the three most frequent disorders for which a NIL was requested. Infection was the most common cause of altered consciousness. Epilepsy, infection, and previous stroke were common causes of seizure disorders. Acute stroke accounted for 44% of all stroke disorders. Electroencephalography was the most recommended study, and was also the most frequently performed. Ninety-five percent of emergency consultations were completed within 2 hours, and 85% of regular consultations were completed within 24 hours. The consult-to-visit times for emergency and regular consultations were 44+/-47 minutes (mean+/-standard deviation) and 730+/-768 minutes, respectively, and were shorter for regular consultations at intensive care units (p=0.0151) and for seizure and stroke disorders (p=0.0032). CONCLUSIONS: Altered consciousness, seizure, and stroke were the most common reasons for NILs. Half of the patients had acute neurological diseases warranting immediate diagnosis and treatment by the consulting neurologists. Balancing increasing neurologist workloads and appropriate health-care resources remains a challenge.
Aging ; Communicable Diseases ; Consciousness ; Cross-Sectional Studies* ; Delivery of Health Care ; Diagnosis ; Electroencephalography ; Emergencies ; Epilepsy ; Gastroenterology ; Humans ; Inpatients* ; Intensive Care Units ; Nervous System Diseases* ; Neurology ; Referral and Consultation ; Retrospective Studies* ; Secondary Care Centers* ; Seizures ; Stroke ; Taiwan* ; Thorax

OBJECTIVE: We wanted to report our experience of metallic stent placement after insufficient balloon dilation in graft hemodialysis patients. MATERIALS AND METHODS: Twenty-three patients (13 loop grafts in the forearm and 10 straight grafts in the upper arm) underwent metallic stent placement due to insufficient flow after urokinase thrombolysis and balloon dilation. The indications for metallic stent deployment included 1) recoil and/or kinked venous stenosis in 21 patients (venous anastomosis: 17 patients, peripheral outflow vein: four patients); and 2) major vascular rupture in two patients. Metallic stents 8-10mm in diameter and 40-80 mm in length were used. Of them, eight stents were deployed across the elbow crease. Access patency was determined by clinical follow-up and the overall rates were calculated by Kaplan-Meier survival analysis. RESULTS: No procedure-related complications (stent fracture or central migration) were encountered except for a delayed Wallstent shortening/migration at the venous anastomosis, which resulted in early access failure. The overall primary and secondary patency rates (+/- standard error) of all the vascular accesses in our 23 patients at 3, 6, 12 and 24 months were 69% +/- 9 and 88% +/- 6, 41% +/- 10 and 88% +/- 6, 30% +/- 10 and 77% +/- 10, and 12% +/- 8 and 61% +/- 13, respectively. For the forearm and upper-arm grafts, the primary and secondary patency rates were 51% +/- 16 and 86% +/- 13 vs 45% +/- 15 and 73%+/-13 at 6 months, and 25% +/- 15 and 71% +/- 17 vs 23% +/- 17 and 73% +/- 13 at 12 months (p = .346 and .224), respectively. CONCLUSION: Metallic stent placement is a safe and effective means for treating peripheral venous lesions in dialysis graft patients after insufficient balloon dilation. No statistically difference in the patency rates between the forearm and upper-arm patient groups was seen.
Vascular Patency ; Treatment Failure ; Stents ; Renal Dialysis ; Polytetrafluoroethylene ; Middle Aged ; Metals ; Male ; Humans ; Graft Occlusion, Vascular/*therapy ; Forearm ; Female ; *Arteriovenous Shunt, Surgical ; *Angioplasty, Balloon ; Aged, 80 and over ; Aged

Objective: Cytoreductive surgery followed by adjuvant chemotherapy is a standard frontline treatment for epithelial ovarian cancer (EOC). We aimed to develop an ovarian cancer risk score (OVRS) based on the expression of 10 ovarian-cancer-related genes to predict the chemoresistance, and outcomes of EOC patients. Methods: We designed a case-control study with total 149 EOC women including 75 chemosensitives and 74 chemoresistants. Gene expression was measured using the quantitative real-time polymerase chain reaction. We tested for correlation between the OVRS and chemosensitivity or chemoresistance, disease-free survival (DFS), and overall survival (OS), and validated the OVRS by analyzing patients from the TCGA database. Results: The chemosensitive group had lower OVRS than the chemoresistant group (5 vs.15, p≤0.001, Mann-Whitney U test). Patients with disease relapse (13 vs. 5, p<0.001, MannWhitney U test) or disease-related death (13.5 vs. 6, p<0.001) had higher OVRS than those without. OVRS ≥10 (hazard ratio=3.29; 95% confidence interval=1.94–5.58; p<0.001) was the only predictor for chemoresistance in multivariate analysis. The median DFS (5 months vs. 24 months) and OS (39 months vs. >60 months) of patients with OVRS ≥10 were significantly shorter than those of patients with OVRS <9). The high OVRS group also had significantly shorter median OS than the low OVRS group in 255 patients in the TCGA database (39 vs. 49 months, p=0.046). Conclusions Specific genes panel can be clinically applied in predicting the chemoresistance and outcome, and decision-making of epithelial ovarian cancer.

Background: Feline mammary carcinoma (FMC) is one of the most prevalent malignancies of female cats. FMC is highly metastatic and thus leads to poor disease outcomes. Among all metastases, liver metastasis occurs in about 25% of FMC patients. However, the mechanism underlying hepatic metastasis of FMC remains largely uncharacterized. Results: Herein, we demonstrate that FMC-derived extracellular vesicles (FMC-EVs) promotes the liver metastasis of FMC by activating hepatic stellate cells (HSCs) to prime a hepatic premetastatic niche (PMN). Moreover, we provide evidence that sphingosine kinase 1 (SK1) delivered by FMC-EV was pivotal for the activation of HSC and the formation of hepatic PMN. Depletion of SK1 impaired cargo sorting in FMC-EV and the EV-potentiated HSC activation, and abol‑ ished hepatic colonization of FMC cells. Conclusions Taken together, our findings uncover a previously uncharacterized mechanism underlying liver-metas‑ tasis of FMC and provide new insights into prognosis and treatment of this feline malignancy.