Hepatic resection of metastatic tumor from serous cystadenocarcinoma of the ovary.

Metastatic carcinomas are the largest group of malignant tumors of the liver. But parenchymal liver metastasis from cystic ovarian adenocarcinoma is very rare. We report a case in which the resection of metastatic liver neoplasm from ovarian serous cystadenocarcinoma was done 7 yr after initial treatment. A 48-yr-old oriental housewife complained of easy fatigability and right lower quadrant discomfort. The hepatic mass was detected by ultrasonographic examination. Serum albumin, bilirubin, and aspartate aminotransferase/alanine aminotransferase were normal. Alkaline phosphatase level was slightly increased at 146 IU/L. A tumor marker study showed alpha-fetoprotein 0.97 IU/mL, carcinoembryonic antigen 0.965 ng/mL, cancer antigen 125 1,267 ng/mL and CA 19-9 106.1 ng/mL. The operation involved cholecystectomy and segmentectomy VI and VII of the liver. The patient recovered from the surgery without any complication. On the 10th postoperative day, the patient received a single-regimen chemotherapy with paclitaxel (Taxol, 155 mg/m(2) BSA) and was discharged. She has been carefully followed-up without any evidence of recurrence after completion of the remaining 5 cycles of chemo-therapy, at intervals of three weeks

Impulsivity and compulsivity in Internet gaming disorder: A comparison with obsessive–compulsive disorder and alcohol use disorder

Internet gaming disorder (IGD) is characterized by a loss of control and a preoccupation with Internet games leading to repetitive behavior. We aimed to compare the baseline neuropsychological profiles in IGD, alcohol use disorder (AUD), and obsessive–compulsive disorder (OCD) in the spectrum of impulsivity and compulsivity. Methods A total of 225 subjects (IGD, N = 86; AUD, N = 39; OCD, N = 23; healthy controls, N = 77) were administered traditional neuropsychological tests including Korean version of the Stroop Color–Word test and computerized neuropsychological tests, including the stop signal test (SST) and the intra–extra dimensional set shift test (IED). Results Within the domain of impulsivity, the IGD and OCD groups made significantly more direction errors in SST (p = .003, p = .001) and showed significantly delayed reaction times in the color–word reading condition of the Stroop test (p = .049, p = .001). The OCD group showed the slowest reading time in the color–word condition among the four groups. Within the domain of compulsivity, IGD patients showed the worst performance in IED total trials measuring attentional set shifting ability among the groups. Conclusions Both the IGD and OCD groups shared impairment in inhibitory control functions as well as cognitive inflexibility. Neurocognitive dysfunction in IGD is linked to feature of impulsivity and compulsivity of behavioral addiction rather than impulse dyscontrol by itself

Bulk Rashba‐Type Spin Splitting in Non‐Centrosymmetric Artificial Superlattices

Spin current, converted from charge current via spin Hall or Rashba effects, can transfer its angular momentum to local moments in a ferromagnetic layer. In this regard, the high charge-to-spin conversion efficiency is required for magnetization manipulation for developing future memory or logic devices including magnetic random-access memory. Here, the bulk Rashba-type charge-to-spin conversion is demonstrated in an artificial superlattice without centrosymmetry. The charge-to-spin conversion in [Pt/Co/W] superlattice with sub-nm scale thickness shows strong W thickness dependence. When the W thickness becomes 0.6 nm, the observed field-like torque efficiency is about 0.6, which is an order larger than other metallic heterostructures. First-principles calculation suggests that such large field-like torque arises from bulk-type Rashba effect due to the vertically broken inversion symmetry inherent from W layers. The result implies that the spin splitting in a band of such an ABC-type artificial SL can be an additional degree of freedom for the large charge-to-spin conversion

The Efficacy of Hepatic Resection after Neoadjuvant Transarterial Chemoembolization (TACE) and Radiation Therapy in Hepatocellular Carcinoma Greater Than 5 cm in Size

In cases of large hepatocellular carcinoma (HCC), neoadjuvant treatment such as transarterial chemoembolization (TACE) and radiation therapy can be performed. The aim of this study was to evaluate the outcome of these treatments prior to hepatic resection. Between January 1994 and May 2007, 16 patients with HCC greater than 5 cm in size were treated with TACE and radiation therapy prior to hepatic resection. The clinicopathologic factors were reviewed retrospectively. Of the 16 patients, there were 14 men and two women, and the median age was 52.5 yr. TACE was performed three times in average, and the median radiation dosage was 45 Gy. The median diameter of tumor on specimen was 9.0 cm. The degree of tumor necrosis was more than 90% in 14 patients. The median survival time was 13.3 months. Five patients had survived more than 2 yr and there were two patients who had survived more than 5 yr. Although the prognosis of large HCC treated with neoadjuvant therapy is not satisfactory, some showed long-term survival loger than 5 yr. Further research will be required to examine the survival and disease control effect in a prospective randomized study

Design sensitivity analysis of multibody systems with special reference to four-wheel steering.

Sensitivity analysis methods are investigated for the optimal design of multibody systems. In order to overcome the shortcomings inherent in existing methods, a "mixed" method is developed. The beneficial features of the finite difference and the direct differentiation methods, and equations of motion in the joint coordinates are employed in this method. As a realistic application of the sensitivity analysis, a Four-Wheel-Steering vehicle with complete suspension systems and comprehensive analytical tire model is implemented. This model keeps full nonlinearity in the governing equations of motion for accuracy, and it is simulated using an existing general-purpose multibody dynamics simulation package. However, by using the transient dynamic analysis of the nonlinear model, optimal design parameters are dependent on driving scenarios. Therefore, the transient behavior of the system is represented by a series of steady state configurations. Hence, a steady state analysis procedure which finds a steady state configuration from an arbitrary initial condition is developed. By using the steady state analysis and the sensitivity analysis, the optimal steering ratios between the angles of the front and the rear wheels are obtained over various driving conditions. A steering control strategy is developed for the vehicle simulation to follow a prescribed path. Finally, the simulation results using the optimal steering ratio are compared against the results of the conventional two-wheel steering and the steering ratio based on the linear bicycle model

Bio-Optics Based Sensation Imaging for Breast Tumor Detection Using Tissue Characterization

The tissue inclusion parameter estimation method is proposed to measure the stiffness as well as geometric parameters. The estimation is performed based on the tactile data obtained at the surface of the tissue using an optical tactile sensation imaging system (TSIS). A forward algorithm is designed to comprehensively predict the tactile data based on the mechanical properties of tissue inclusion using finite element modeling (FEM). This forward information is used to develop an inversion algorithm that will be used to extract the size, depth, and Young's modulus of a tissue inclusion from the tactile data. We utilize the artificial neural network (ANN) for the inversion algorithm. The proposed estimation method was validated by a realistic tissue phantom with stiff inclusions. The experimental results showed that the proposed estimation method can measure the size, depth, and Young's modulus of a tissue inclusion with 0.58%, 3.82%, and 2.51% relative errors, respectively. The obtained results prove that the proposed method has potential to become a useful screening and diagnostic method for breast cancer

Computer-Aided Detection with a Portable Electrocardiographic Recorder and Acceleration Sensors for Monitoring Obstructive Sleep Apnea

Obstructive sleep apnea syndrome is a sleep-related breathing disorder that is caused by obstruction of the upper airway. This condition may be related with many clinical sequelae such as cardiovascular disease, high blood pressure, stroke, diabetes, and clinical depression. To diagnosis obstructive sleep apnea, in-laboratory full polysomnography is considered as a standard test to determine the severity of respiratory disturbance. However, polysomnography is expensive and complicated to perform. In this research, we explore a computer-aided diagnosis system with portable ECG equipment and tri-accelerometer (x, y, and z-axes) that can automatically analyze biosignals and test for OSA. Traditional approaches to sleep apnea data analysis have been criticized; however, there are not enough suggestions to resolve the existing problems. As an effort to resolve this issue, we developed an approach to record ECG signals and abdominal movements induced by breathing by affixing ECG-enabled electrodes onto a triaxial accelerometer. With the two signals simultaneously measured, the apnea data obtained would be more accurate, relative to cases where a single signal is measured. This would be helpful in diagnosing OSA. Moreover, a useful feature point can be extracted from the two signals after applying a signal processing algorithm, and the extracted feature point can be applied in designing a computer-aided diagnosis algorithm using a machine learning technique

Self-Assembled Monolayers Coated Porous SnO2 Film Gas Sensor with Reduced Humidity Influence

Metal-oxide sensors, detect gas through the reaction of surface oxygen molecules with target gases, are promising for the detection of toxic pollutant gases, combustible gases, and organic vapors; however, their sensitivity, selectivity, and long-term stability limit practical applications. Porous structure for increasing surface area, adding catalyst, and altering the operation temperature are proposed for enhancing the sensitivity and selectivity. Although humidity can significantly affect the property and stability of the sensors, studies focusing on the long-term stability of gas sensors are scarce. To reduce the effects of humidity, 1H, 1H, 2H, 2H–perfluorooctyltriethoxysilane (PFOTS) was coated on a porous SnO2 film. The interconnected SnO2 nanowires improved the high surface area, and the PFOTS coating provided superhydrophobicity at water contact angle of 159°and perfect water vapor repellency inside E-SEM. The superhydrophobic porous morphology was maintained under relative humidity of 99% and operating temperature of 300 °C. The CO gas sensing of 5, 20, and 50 ppm were obtained with linearity at various humidity. Flame detection was also achieved with practical high humidity conditions. These results suggest the simple way for reliable sensing of nanostructured metal-oxide gas sensors with high sensitivity and long-term stability even in highly humid environments