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Detection of chronic endometritis types in cows by using echostructure variables in ROC curve analysis

Year 2013, , 59 - 65, 01.03.2013
https://doi.org/10.1501/Vetfak_0000002554

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

References

  • Aslan S, Handler J, Wesenauer G, Arbeiter K (2002): Eignung der sonographischen Beurteilung von Ovardynamik und Uterusinvolution zur Fertilitätsprognose im Puerperium des Rindes. Dtsch. Tierärztl. Wschr. 109: 52- 55.
  • Çamlıca H, Dişçi R (2008). Tanı testlerinde sınır değerlerin belirlenmesi. Türk Onkoloji Dergisi, 23(1):26- 33.
  • Delorme S, Zuna I (1995). Quantitative Auswerteverfahren in der B-Bild-und Farbdopplersonographie. Ultraschall Klin. Prax., 10: 50-61.
  • Dirican A (2001). Tanı Testi Performanslarının Değerlendirilmesi ve Kıyaslanması. Cerrahpaşa Tıp Dergisi, 32:25-30.
  • Drillich M, Raab D, Wittke M, Heuweisser W (2005). Treatment of chronic endometritis in dairy cows with an intrauterine application of enzymes a field trial. Theriogenology, 63(7), 1811-1823.
  • Garra BS, Krasner BH, Horii SC, Ascher S, Mun SK, Zeman RK (1993). Improving the distinction between benign and malignant breast lesions: the value of sonographic texture analysis. Ultrasonographic Imaging, 15:267-285.
  • Grau H (1960). Weibliche Geschlechtsorgane. Die Gebärmutter, Uterus. In: Lehrbuch der Histologie und vergleichenden mikroskopischen Anatomie der Haustiere, 10. Aufl. Hrsg.: Krölling, O., Grau, H. Parey Verlag, Berlin. 370-379.
  • Greiner M, Pfeiffer D, Smith RD (2000) Principles and parctical application of the receiver-operating characteristic analysis for diagnostic tests. Preventive Veterinary Medicine, 45:23-41.
  • Karaağaoğlu E (2008). Karar verme sürecinde bilgi kuramı yaklaşımı.5. Ulusal Tıp Bilişimi Kongresi. Erişim: [http://www.turkmia.org/files/89.pdf]. 15.08.2009
  • Kasımmanickam R, Duffield TF, Foster RA, Gartley CJ, Leslie KE, Walton JS, Johnson WH (2004). Endometrial cytology and ultrasonograhpy for the detection of subclinical endometritis in postpartum dairy cows. Theriogenology 62: 9-23
  • Leblanc SJ, Duffield TF, Leslie KE, Bateman KG, Keefe GP, Walton JS, Johnson WH (2002). Defining and diagnosing postpartum clinical endometritis and its ımpact on reproductive performance in dairy cows. J. Dairy Sci. 85:2223–2236
  • Lotthammer KH (1984). Ursachen und Maβnahmen beim primär nich infektiösen Genitalkatarh des Rindes. Prakt. Tierarzt, Coll. Vet. 15:79-84.
  • Miller HV, Kimsey PB, Kendrick JW, Darien B, Doering L (1980). Endometritis of dairy cattle: Diagnosis, treatment and fertility. Bovine Pract. 15: 13-23.
  • Obuchowski NA (2003). Receiver operating characteristic curves and their use in radiology. Radiology, 229:3-8.
  • Pierson RA, Ginther OJ (1987). Follicular populations during the estrous cycle in heifers. II. Influence of right and left sides and intraovarian effect of the corpus luteum. Anim. Reprod. Sci. 14: 177–186.
  • Raeth U, Schlaps B, Limberg B, Zuna I, Lorenz A, VAN Kaick G, Lorenz WJ, Kommerell B (1985). Diagnostic Accuracy of Computerized B-Scan Texture Analysis and Conventional Ultrasonography in Diffuse Parenchymal and Malignant Liver Disease. J. Clin. Ultrasound 13: 87-99.
  • Schmauder S (2003). Zyklus- und entzündungsbedingte Veränderungen der endometrialen Echostruktur beim Rind unter Berücksichtigung der Sticksoffmonoxid-Synthase- Expression. Doktora tezi, Tierärztlichen Fakultät der Ludwig-Maximilians Universität München.
  • Swets JA, Dawes RM, Monahan J (2000). Better decisions through science. Scientific American, 283;82-87.
  • Şenocak M (2009). Klinik Biyoistatistik. İstanbul: Nobel Tıp Kitabevi.s:85-102.
  • Vollmerhaus B. (1957). Die zyklischen Veränderungen des Endometriums beim Rind. Dtsch. Tierärztl. Wochenschr. 65: 461-465.
  • Zou KH (2002). Receiver Operating Characteristic (ROC) literature research. Erişim:
  • http://splweb.bwh.harvard.edu:8000/pages/ppl/zou/roc.html] 10.09.2009

İneklerde eko-yapı değişkenler kullanılarak kronik endometritis tiplerinin ROC eğrisi yöntemi ile belirlenmesi

Year 2013, , 59 - 65, 01.03.2013
https://doi.org/10.1501/Vetfak_0000002554

Abstract

ROC eğrisi, tanı testlerinin performanslarının değerlendirilmesi ve kıyaslanması için yaygın olarak kullanılan, duyarlılık ve özgüllük oranlarını kullanarak denekleri sınıflarına ayıran en uygun kesim noktasını belirleyen bir yöntemdir. Çalışma ile, tanı amacıyla geliştirilen yeni bir testin hasta ile sağlamları ayırmadaki performansını, doğruluğunu ve hastalık derecelerinin geçerli tanı eşiğini incelemekte kullanılan ROC analiz yöntemi tanıtılmıştır. Tanı amacıyla yeni uygulanan bir yöntem olan bilgisayar destekli eko-yapı programları ile kronik endometritisli ineklerden elde edilen ultrasonografik resimlerin analiz değerleri kullanılmıştır. E1 tipinde gradient’de 11,44, gri’de 58,60 değerlerinin tanıda %75 duyarlılık ve %70 özgüllük ile, E2 tipinde homojenite’de 0,07 değerinin tanıda %91 ve %30 özgüllük ile, E3 tipinde gradient, homojenite ve gri değerlerinin önemli parametreler olduğu belirlenmiştir. Elde edilen veriler ROC eğrisi ile yapılan istatistiksel analizin kronik endometritis tiplerinin tanınmasında yardımcı bir hesaplama yöntemi olduğunu göstermiştir

References

  • Aslan S, Handler J, Wesenauer G, Arbeiter K (2002): Eignung der sonographischen Beurteilung von Ovardynamik und Uterusinvolution zur Fertilitätsprognose im Puerperium des Rindes. Dtsch. Tierärztl. Wschr. 109: 52- 55.
  • Çamlıca H, Dişçi R (2008). Tanı testlerinde sınır değerlerin belirlenmesi. Türk Onkoloji Dergisi, 23(1):26- 33.
  • Delorme S, Zuna I (1995). Quantitative Auswerteverfahren in der B-Bild-und Farbdopplersonographie. Ultraschall Klin. Prax., 10: 50-61.
  • Dirican A (2001). Tanı Testi Performanslarının Değerlendirilmesi ve Kıyaslanması. Cerrahpaşa Tıp Dergisi, 32:25-30.
  • Drillich M, Raab D, Wittke M, Heuweisser W (2005). Treatment of chronic endometritis in dairy cows with an intrauterine application of enzymes a field trial. Theriogenology, 63(7), 1811-1823.
  • Garra BS, Krasner BH, Horii SC, Ascher S, Mun SK, Zeman RK (1993). Improving the distinction between benign and malignant breast lesions: the value of sonographic texture analysis. Ultrasonographic Imaging, 15:267-285.
  • Grau H (1960). Weibliche Geschlechtsorgane. Die Gebärmutter, Uterus. In: Lehrbuch der Histologie und vergleichenden mikroskopischen Anatomie der Haustiere, 10. Aufl. Hrsg.: Krölling, O., Grau, H. Parey Verlag, Berlin. 370-379.
  • Greiner M, Pfeiffer D, Smith RD (2000) Principles and parctical application of the receiver-operating characteristic analysis for diagnostic tests. Preventive Veterinary Medicine, 45:23-41.
  • Karaağaoğlu E (2008). Karar verme sürecinde bilgi kuramı yaklaşımı.5. Ulusal Tıp Bilişimi Kongresi. Erişim: [http://www.turkmia.org/files/89.pdf]. 15.08.2009
  • Kasımmanickam R, Duffield TF, Foster RA, Gartley CJ, Leslie KE, Walton JS, Johnson WH (2004). Endometrial cytology and ultrasonograhpy for the detection of subclinical endometritis in postpartum dairy cows. Theriogenology 62: 9-23
  • Leblanc SJ, Duffield TF, Leslie KE, Bateman KG, Keefe GP, Walton JS, Johnson WH (2002). Defining and diagnosing postpartum clinical endometritis and its ımpact on reproductive performance in dairy cows. J. Dairy Sci. 85:2223–2236
  • Lotthammer KH (1984). Ursachen und Maβnahmen beim primär nich infektiösen Genitalkatarh des Rindes. Prakt. Tierarzt, Coll. Vet. 15:79-84.
  • Miller HV, Kimsey PB, Kendrick JW, Darien B, Doering L (1980). Endometritis of dairy cattle: Diagnosis, treatment and fertility. Bovine Pract. 15: 13-23.
  • Obuchowski NA (2003). Receiver operating characteristic curves and their use in radiology. Radiology, 229:3-8.
  • Pierson RA, Ginther OJ (1987). Follicular populations during the estrous cycle in heifers. II. Influence of right and left sides and intraovarian effect of the corpus luteum. Anim. Reprod. Sci. 14: 177–186.
  • Raeth U, Schlaps B, Limberg B, Zuna I, Lorenz A, VAN Kaick G, Lorenz WJ, Kommerell B (1985). Diagnostic Accuracy of Computerized B-Scan Texture Analysis and Conventional Ultrasonography in Diffuse Parenchymal and Malignant Liver Disease. J. Clin. Ultrasound 13: 87-99.
  • Schmauder S (2003). Zyklus- und entzündungsbedingte Veränderungen der endometrialen Echostruktur beim Rind unter Berücksichtigung der Sticksoffmonoxid-Synthase- Expression. Doktora tezi, Tierärztlichen Fakultät der Ludwig-Maximilians Universität München.
  • Swets JA, Dawes RM, Monahan J (2000). Better decisions through science. Scientific American, 283;82-87.
  • Şenocak M (2009). Klinik Biyoistatistik. İstanbul: Nobel Tıp Kitabevi.s:85-102.
  • Vollmerhaus B. (1957). Die zyklischen Veränderungen des Endometriums beim Rind. Dtsch. Tierärztl. Wochenschr. 65: 461-465.
  • Zou KH (2002). Receiver Operating Characteristic (ROC) literature research. Erişim:
  • http://splweb.bwh.harvard.edu:8000/pages/ppl/zou/roc.html] 10.09.2009
There are 22 citations in total.

Details

Primary Language English
Subjects Veterinary Surgery
Other ID JA37NZ54CV
Journal Section Research Article
Authors

İ. Safa Gürcan

Ayca Babak

Publication Date March 1, 2013
Published in Issue Year 2013

Cite

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 Gürcan İS, Babak A. Detection of chronic endometritis types in cows by using echostructure variables in ROC curve analysis. Ankara Univ Vet Fak Derg. March 2013;60(1):59-65. doi:10.1501/Vetfak_0000002554
Chicago 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 60, no. 1 (March 2013): 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 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, 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 2013), 59-65. https://doi.org/10.1501/Vetfak_0000002554.
JAMA 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, 2013, pp. 59-65, doi:10.1501/Vetfak_0000002554.
Vancouver 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.