AIM: This study aimed to evaluate the ultrasound method and its agreement with the endometrium cytology method, which is used to diagnose cytological endometritis in beef cows. Moreover, we determined which method has higher sensitivity and specificity at 4 and 5 weeks postpartum.
MATERIALS AND METHODS: The study was conducted 20-35 days postpartum. A total of 53 clinically healthy beef cows (28 Brangus and 25 Kedah-Kelantan breeds) from three beef farms were obtained. All cows were evaluated at 4 and 5 weeks postpartum, using ultrasound and cytobrush endometrial examination methods to diagnose cytological endometritis.
RESULTS: Endometrial cytology result showed that 11.3% (6/53) and 9.4% (5/53) of the cows exhibited cytological endometritis 4 and 5 weeks postpartum, respectively. A weak-to-moderate agreement found between the diagnostic methods (k=0.29 - 0.50; p<0.01 and k=0.38 - 0.49) at 4 and 5 weeks postpartum respectively.
CONCLUSION: The percentage of beef cows that were positive to cytological endometritis was low (polymorphonuclear cells, ≥8%) at 4 and 5 weeks postpartum. Results showed that the ultrasound method is useful and practical for diagnosing endometritis 4 and 5 weeks postpartum. This method exhibited 60% sensitivity, 93.8% specificity, and a 0.50 kappa value, especially when presence of intrauterine fluids and measurement of cervix diameter used in combination.
METHODS: The proposed method uses a 2D contourlet transform and a set of texture features that are efficiently extracted from the transformed image. Then, the combination of a kernel discriminant analysis (KDA)-based feature reduction technique and analysis of variance (ANOVA)-based feature ranking technique was used, and the images were then classified into various stages of liver fibrosis.
RESULTS: Our 2D contourlet transform and texture feature analysis approach achieved a 91.46% accuracy using only four features input to the probabilistic neural network classifier, to classify the five stages of liver fibrosis. It also achieved a 92.16% sensitivity and 88.92% specificity for the same model. The evaluation was done on a database of 762 ultrasound images belonging to five different stages of liver fibrosis.
CONCLUSIONS: The findings suggest that the proposed method can be useful to automatically detect and classify liver fibrosis, which would greatly assist clinicians in making an accurate diagnosis.
Methods: A cross-sectional study was carried out in two general paediatric wards in a public hospital. SGNA and STAMP were performed on 82 children (52 boys and 30 girls) of age 1-7 years. The scores from both methods were compared against Academy of Nutrition and Dietetics/American Society of Parental and Enteral Nutrition Consensus Statement for identification of paediatric malnutrition. The objective measurements include anthropometry (weight, height and mid-arm circumference), dietary intake and biochemical markers (C-reactive protein, total lymphocytes and serum albumin). Kappa agreement between methods, sensitivity, specificity and cross-classification were computed.
Results: SGNA and STAMP identified 45% and 79% of the children to be at risk of malnutrition, respectively. Using a compendium of objective parameters, 46% of the children were confirmed to be malnourished. The agreement between SGNA and objective measurements (k = 0.337) was stronger than between STAMP and objective measurements (k = 0.052) in evaluating the nutritional status of hospitalized children. SGNA also has a 4-fold higher specificity (70.45%) than STAMP (18.18%) in detecting children who are malnourished.
Conclusion: SGNA is a valid nutrition assessment tool in diagnosing malnutrition status among hospitalized children in Malaysia. The discrepancy in specificity values between the two methods explains the distinguished roles between SGNA and STAMP. The use of STAMP will have to be followed up with a more valid tool such as SGNA to verify the actual nutrition status of the paediatric population.