Colorectal polyp segmentation method based on fusion of transformer and cross-level phase awareness / 生物医学工程学杂志

In order to address the issues of spatial induction bias and lack of effective representation of global contextual information in colon polyp image segmentation, which lead to the loss of edge details and mis-segmentation of lesion areas, a colon polyp segmentation method that combines Transformer and cross-level phase-awareness is proposed. The method started from the perspective of global feature transformation, and used a hierarchical Transformer encoder to extract semantic information and spatial details of lesion areas layer by layer. Secondly, a phase-aware fusion module (PAFM) was designed to capture cross-level interaction information and effectively aggregate multi-scale contextual information. Thirdly, a position oriented functional module (POF) was designed to effectively integrate global and local feature information, fill in semantic gaps, and suppress background noise. Fourthly, a residual axis reverse attention module (RA-IA) was used to improve the network's ability to recognize edge pixels. The proposed method was experimentally tested on public datasets CVC-ClinicDB, Kvasir, CVC-ColonDB, and EITS, with Dice similarity coefficients of 94.04%, 92.04%, 80.78%, and 76.80%, respectively, and mean intersection over union of 89.31%, 86.81%, 73.55%, and 69.10%, respectively. The simulation experimental results show that the proposed method can effectively segment colon polyp images, providing a new window for the diagnosis of colon polyps.

Factors Associated with Delay in Treatment of Cancer

Introduction: This is a cross sectional study conducted on cancer patients who presented at the periph-eral cancer center, Mandya Institute of Medical Sciences, Mandya with an objective to find out the possi-ble factors influencing the delay in treatment of cancer. Method: Each day the patients coming for radiotherapy treatment were selected, based on the inclusion criteria for the study and an informed consent was taken before collecting the data. Data was collected by questionnaire method and was entered in an excel sheet and analyzed. Result: The result revealed that 65% of the patients belonged to the age group 50-69 and that the delay in treatment significantly increased with increase in age, 80% of the patients were not aware and their median delay was about 60 days, 59% of the patients neglected the symptoms and their median delay was about 60 days, and 5 percent of them took self-treatment and their median delay was 60 days. Conclusion: This study, revealed that 4 important factors, all of which belonged to the patient, were re-sponsible for the significant delay in the treatment. The 4 factors were age of the patient, awareness about the symptom, neglecting the symptom and history of self-treatment.

Heartbeat-aware convolutional neural network for R-peak detection of wearable device ECG data / 南方医科大学学报

OBJECTIVE@#To develop a method for R-peak detection of ECG data from wearable devices to allow accurate estimation of the physiological parameters including heart rate and heart rate variability.@*METHODS@#A fully convolutional neural network was applied to predict the R-peak heatmap of ECG data and locate the R-peak positions. The heartbeat-aware (HA) module was introduced to enable the model to learn to predict the heartbeat number and R-peak heatmap simultaneously, thereby improving the capability of the model for extraction of the global context. The R-R interval estimated by the predicted heartbeat number was adopted to calculate the minimum horizontal distance for peak positioning. To achieve real-time R-peak detection on mobile devices, the deep separable convolution was adopted to reduce the number of parameters and the computational complexity of the model.@*RESULTS@#The proposed model was trained only with ECG data from wearable devices. At a tolerance window interval of 150 ms, the proposed method achieved R peak detection sensitivities of 100% for both wearable device ECG dataset and a public dataset (i.e. LUDB), and the true positivity rates exceeded 99.9%. As for the ECG signal of a 10 s duration, the CPU time of the proposed method for R-peak detection was about 23.2 ms.@*CONCLUSION@#The proposed method has good performance for R-peak detection of both wearable device ECG data and routine ECG data and also allows real-time R-peak detection of the ECG data.

Panayiotopoulos syndrome: a clinico-electroencephalographic presentation of three cases from Nigeria

Panayiotopoulos syndrome (PS) is a common benign, childhood, focal, seizure susceptibility syndrome presenting with mainly focal aware or focal impaired awareness autonomic seizures and autonomic status epilepticus that is under diagnosed in our locality. Increased awareness through reporting will aid diagnosis, reduce misdiagnosis and prevent aggressive and deleterious interventions. The classic clinical and electroencephalographic (EEG) features of three cases are described and the literature reviewed. The aim is to underscore the presence in our locality of this remarkably benign epileptic syndrome that must be differentiated from febrile seizures, encephalopathy, migraine or cardiogenic syncope.

Relationships between the diabetes awareness and clinical indices/nutrient intakes in Korean adults: Based on the 2012–2013 Korea National Health and Nutrition Examination Survey Data

BACKGROUND/OBJECTIVES: Diabetes is diagnosed after an average of 10–12 years of diabetic development. Strict glycemic control in diabetic patients promotes the normalization of blood glucose and reduces cardiovascular diseases (CVDs) and diabetic complications. Therefore, early diagnosis in non-aware individuals is very important. SUBJECTS/METHODS: Clinical indices and nutrient intakes in Korean diabetic adults aged 19–64 years were examined according to the awareness of diabetes, using 2012 and 2013 Korea National Health and Nutrition Examination Survey (KNHANES) data. The aware group was defined as individuals who were aware of having diabetes from diagnosis by physician before the survey and the non-aware group as individuals who were not aware of having diabetes. RESULTS: The average age was higher in the aware group compared to the non-aware group in both men (P = 0.002) and women (P = 0.004). The prevalences of hypertension and dyslipidemia were not different between the two groups, but the diagnosis rate was significantly lower in the non-aware group. In the non-aware group, total and LDL-cholesterol were significantly higher (P < 0.001), the risk for total cholesterol over 240 mg/dL was 3.4 times (95% CI: 1.58–7.52) higher (P = 0.002) and the risk for LDL-cholesterol over 160 mg/dL was 4.59 times (95% CI: 2.07–10.17) higher (P < 0.001). The calorie intake of the female non-aware group was significantly higher compared to the female aware group (P = 0.033). CONCLUSION: The results suggested that the recommendation of screening test is necessary even for young adults. Studies on the methodology for early diagnosis of diabetes are also needed.

Análisis preliminar del cuestionario señales de alerta de recaída (AWARE) en drogodependientes peruanos / Preliminary analysis of the questionnaire signals warning of relapse (AWARE) on peruvian drug addicts

El objetivo del presente estudio fue analizar la estructura interna del cuestionario AWARE 3.0 en drogodependentientes. Fueron evaluados 240 sujetos en tratamiento residencial (hombres n=205 y mujeres n=35) entre 18 y 61 años con la escala de señales de alerta a recaída AWARE. Los análisis confirmaron la existencia de un solo factor, además se probaron cinco modelos confirmatorios incluyendo el factor de método que demostró influir en el modelo original. El análisis de confiabilidad obtuvo puntuaciones adecuadas tanto para variables observadas como variables latentes que representaron igualdad a nivel conceptual y de unidades (modelo congenérico y tau-equivalente). Los resultados indican un mejor ajuste solo con el modelo de ítems directos además de plantearse una versión breve. Estos hallazgos brindan una nueva perspectiva sobre la estructura del instrumento y una nueva versión que ayude a complementar la evaluación en el proceso de evaluación y detección de señales de alerta a recaídas.

The objective of the present study was to analyze the internal structure of the AWARE 3.0 questionnaire in drug addicts. A total of 240 subjects undergoing residential treatment (males n = 205 and females n = 35) between 18 and 61 years with the AWARE relapse alert scale were evaluated. The analyzes confirmed the existence of a single factor, in addition five confirmatory models were tested including the factor of method that demonstrated to influence in the original model. The reliability analysis obtained adequate scores for both observed and latent variables that represented equality at the conceptual and unit level (congeneric and tau-equivalent models). The results indicate a better fit only with the direct item model in addition to a short version. These findings provide a new perspective on the structure of the instrument and a new version that helps complement the evaluation in the process of evaluation and detection of relapse alert signals

Ceftaroline activity tested against contemporary Latin American bacterial pathogens (2011)

A total of 2484 target bacterial pathogens were collected (one per patient episode) from patients in 16 Latin American medical centers located in seven nations during 2011. Isolate identity was confirmed at a coordinating laboratory and susceptibility testing was performed for ceftaroline and comparator agents according to reference broth microdilution methods. A total of 30.0% of isolates were from respiratory tract, 29.4% from skin and skin structure, 21.4% from blood stream, 7.9% from urinary tract and 11.3% from other sites. Ceftaroline was active againstStaphylococcus aureus (42.8% MRSA) with 83.6% of the isolates at <1mg/L and all isolates at <2mg/L (MIC5090, 0.25/2mg/L). National MRSA rates ranged from a low of 28.8% in Colombia to a high of 68.1% in Chile. All Streptococcus pyogenes and Streptococcus agalactiae were susceptible to ceftaroline (MIC50/90 values were at <0.015/<0.015mg/L for both). All Streptococcus pneumoniae were susceptible to ceftaroline, linezolid, tigecycline and vancomycin. Susceptibility to ceftriaxone was at 88.4% (CLSI non-meningitis interpretive criteria) and 73.9% (CLSI meningitis interpretive criteria) for all S. pneumoniae. Ceftriaxone susceptibility was only at 33.3% (CLSI non-meningitis interpretive criteria) and 0.0% (CLSI meningitis interpretive criteria) for penicillin-intermediate (penicillin MIC, 4mg/L) strains. AllHaemophilus influenzae (29.4% β-lactamase-positive) isolates were susceptible to ceftaroline, amoxicillin-clavulanate, ceftriaxone, and levofloxacin. For the Latin American region, the ESBL-phenotype rate was 37.6% for Escherichia coli and 53.3% for Klebsiella pneumoniae. Ceftaroline was not active against ESBL-phenotype strains but was active against >90.0% of the non-ESBL-phenotype. The spectrum of activity of ceftaroline against pathogens from Latin America indicates that it merits further study for its potential use in the Latin American region.

Spectrum and potency of ceftaroline against leading pathogens causing community-acquired respiratory tract and skin and soft tissue infections in Latin America, 2010

Ceftaroline, the active metabolite of the prodrug ceftaroline fosamil, is a cephalosporin with in vitro bactericidal activity against Gram-positive organisms, including methicillinsusceptible and -resistant Staphylococcus aureus, β-haemolytic and viridans group streptococci, and Streptococcus pneumoniae, as well as common Gram-negative organisms. In this study a total of 986 isolates collected in 2010 from patients in 15 medical centers in five Latin American countries from the Assessing Worldwide Antimicrobial Resistance Evaluation Program were identified as community-acquired respiratory tract or skin and soft tissue infection pathogens. Ceftaroline was the most potent agent tested against S. pneumoniae with a MIC90 value (0.12 µg/mL) that was eight-fold lower than ceftriaxone, levofloxacin, and linezolid. Its spectrum of coverage (100.0% susceptible) was similar to tigecycline, linezolid, levofloxacin and vancomycin. Against Haemophilus influenzae and Moraxella catarrhalis, ceftaroline was the most active agent tested. The activity of ceftaroline against S. aureus (including MRSA) was similar to that of vancomycin and tetracycline (MIC90,1 µg/mL) and linezolid (MIC90,2 Jg/mL). The 1-haemolytic streptococci exhibited 100.0% susceptibility to ceftaroline. Ceftaroline activity against Escherichia coli, Klebsiella spp., and Enterobacter spp. was similar to that of ceftriaxone and ceftazidime. These parenteral cephalosporin agents have potent activity against non-extended-spectrum These parenteral cephalosporin agents have potent activity against non-extended-spectrum-lactamase-phenotype strains, but are not active against extended-spectrum β-lactamase-phenotype strains. These results confirm the in vitro activity of ceftaroline against pathogens common in communityacquired respiratory tract and skin and soft tissue infection in Latin America, and suggest that ceftaroline fosamil could be an important therapeutic option for these infections.