EN
TR
Detection of chronic endometritis types in cows by using echostructure variables in ROC curve analysis
Abstract
ROC curve is a commonly used method for performance evaluation and comparison of diagnostic tests. ROC curve, by using specifity and sensitivity values, determines best cut-off points that categorize experimental groups. The aim of the study is, to introduce the roc analysis method for determination of new diagnostic test performance, accuracy and discrimination of healthy and unhealthy animals and disease types. A new diagnostic method, computer based echostructure software and analyse values of ultrasonographic images of cows with chronic endometritis has been used as application data. Diagnostic rates were calculated for obtained echostructure variables (mean gradient, homogenity, contrast, mean grey value) in types of endometritis (E1, E2, E3). 11,44 and 58,60 threshold values of mean gradient and mean grey value give 75% sensitivity and 70% specificity at E1, 0,07 value of homogenity gives 91% sensitivity and 30% specificity at E2, mean gradient, homogenity and mean grey values are important parameters at E3 were determined. It was shown that statistical analysis by using ROC curve can be a complementary calculation method for discrimination of severity of chronic endometritis
Keywords
References
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Details
Primary Language
English
Subjects
Veterinary Surgery
Journal Section
Letter to Editor
Publication Date
March 1, 2013
Submission Date
March 1, 2013
Acceptance Date
-
Published in Issue
Year 2013 Volume: 60 Number: 1
APA
Gürcan, İ. S., & Babak, A. (2013). Detection of chronic endometritis types in cows by using echostructure variables in ROC curve analysis. Ankara Üniversitesi Veteriner Fakültesi Dergisi, 60(1), 59-65. https://doi.org/10.1501/Vetfak_0000002554
AMA
1.Gürcan İS, Babak A. Detection of chronic endometritis types in cows by using echostructure variables in ROC curve analysis. Ankara Univ Vet Fak Derg. 2013;60(1):59-65. doi:10.1501/Vetfak_0000002554
Chicago
Gürcan, İ. Safa, and Ayca Babak. 2013. “Detection of Chronic Endometritis Types in Cows by Using Echostructure Variables in ROC Curve Analysis”. Ankara Üniversitesi Veteriner Fakültesi Dergisi 60 (1): 59-65. https://doi.org/10.1501/Vetfak_0000002554.
EndNote
Gürcan İS, Babak A (March 1, 2013) Detection of chronic endometritis types in cows by using echostructure variables in ROC curve analysis. Ankara Üniversitesi Veteriner Fakültesi Dergisi 60 1 59–65.
IEEE
[1]İ. S. Gürcan and A. Babak, “Detection of chronic endometritis types in cows by using echostructure variables in ROC curve analysis”, Ankara Univ Vet Fak Derg, vol. 60, no. 1, pp. 59–65, Mar. 2013, doi: 10.1501/Vetfak_0000002554.
ISNAD
Gürcan, İ. Safa - Babak, Ayca. “Detection of Chronic Endometritis Types in Cows by Using Echostructure Variables in ROC Curve Analysis”. Ankara Üniversitesi Veteriner Fakültesi Dergisi 60/1 (March 1, 2013): 59-65. https://doi.org/10.1501/Vetfak_0000002554.
JAMA
1.Gürcan İS, Babak A. Detection of chronic endometritis types in cows by using echostructure variables in ROC curve analysis. Ankara Univ Vet Fak Derg. 2013;60:59–65.
MLA
Gürcan, İ. Safa, and Ayca Babak. “Detection of Chronic Endometritis Types in Cows by Using Echostructure Variables in ROC Curve Analysis”. Ankara Üniversitesi Veteriner Fakültesi Dergisi, vol. 60, no. 1, Mar. 2013, pp. 59-65, doi:10.1501/Vetfak_0000002554.
Vancouver
1.İ. Safa Gürcan, Ayca Babak. Detection of chronic endometritis types in cows by using echostructure variables in ROC curve analysis. Ankara Univ Vet Fak Derg. 2013 Mar. 1;60(1):59-65. doi:10.1501/Vetfak_0000002554