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A model-based prediction for transvaginal ultrasonographic identification of early intrauterine pregnancy

  • Author Footnotes
    a From the Department of Obstetrics and Gynecology, Yale University School of Medicine.
    Bruce S. Shapiro
    Correspondence
    Reprint requests: Bruce Shapiro, MD, Department of Obstetrics and Gynecology, University of Nevada School of Medicine, 2570 S. Bruce St., Suite D-7, Las Vegas, NV 89109.
    Footnotes
    a From the Department of Obstetrics and Gynecology, Yale University School of Medicine.
    Affiliations
    New Haven, Connecticut
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  • Author Footnotes
    b Division of Biostatistics, Yale University School of Medicine.
    Michael Escobar
    Footnotes
    b Division of Biostatistics, Yale University School of Medicine.
    Affiliations
    New Haven, Connecticut
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  • Author Footnotes
    b Division of Biostatistics, Yale University School of Medicine.
    Robert Makuch
    Footnotes
    b Division of Biostatistics, Yale University School of Medicine.
    Affiliations
    New Haven, Connecticut
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  • Author Footnotes
    a From the Department of Obstetrics and Gynecology, Yale University School of Medicine.
    Gad Lavy
    Footnotes
    a From the Department of Obstetrics and Gynecology, Yale University School of Medicine.
    Affiliations
    New Haven, Connecticut
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  • Author Footnotes
    a From the Department of Obstetrics and Gynecology, Yale University School of Medicine.
    Alan H. DeCherney
    Footnotes
    a From the Department of Obstetrics and Gynecology, Yale University School of Medicine.
    Affiliations
    New Haven, Connecticut
    Search for articles by this author
  • Author Footnotes
    a From the Department of Obstetrics and Gynecology, Yale University School of Medicine.
    b Division of Biostatistics, Yale University School of Medicine.
      This paper is only available as a PDF. To read, Please Download here.
      Objective: Our objective was to develop a mathematic model for the prediction of transvaginal ultrasonographic identification of intrauterine gestation as a function of human chorionic gonadotropin titer or gestational age.
      Study Design: In this prospective, descriptive study normal intrauterine pregnancies of 31 patients from the Yale in vitro fertilization and embryo transfer program and infertility clinic were studied. Logistic regression analysis was used to develop a probability curve of transvaginal ultrasonographic detection of intrauterine pregnancy as a function of human chorionic gonadotropin titer or gestational age with a 5 MHz vaginal transducer.
      Results: A model-based prediction was constructed. It revealed that nearly all intrauterine sacs should be identified by a human chorionic gonadotropin titer of 3000 mlU/ml (first international reference preparation) or by a gestational age of 37 days on the basis of the 5 MHz vaginal transducer.
      Conclusions: A model-based prediction for transvaginal ultrasonographic identification of early intrauterine pregnancy is presented that can be readily adapted by individual institutions using their own ultrasonographic equipment and human chorionic gonadotropin assay.

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