Fertility and Sterility
Volume 92, Issue 5 , Pages 1562-1568, November 2009

Automated assessment of ovarian follicles using a novel three-dimensional ultrasound software

  • Todd D. Deutch, M.D.

      Affiliations

    • Jones Institute for Reproductive Medicine, Eastern Virginia Medical School, Norfolk, Virginia
    • Corresponding Author InformationReprint requests: Todd Deutch, M.D., 3009 North Ballas Road, Suite 258C, Saint Louis, MO 63131 (FAX: 847-662-3001).
  • ,
  • Iris Joergner

      Affiliations

    • GE Medical Systems/Kretz Ultrasound, Waukesha, Wisconsin
  • ,
  • David O. Matson, M.D., Ph.D.

      Affiliations

    • Department of Pediatrics and Public Health, Eastern Virginia Medical School, Norfolk, Virginia
    • College of Health Sciences, Old Dominion University, Norfolk, Virginia
  • ,
  • Sergio Oehninger, M.D., Ph.D.

      Affiliations

    • Jones Institute for Reproductive Medicine, Eastern Virginia Medical School, Norfolk, Virginia
  • ,
  • Silvina Bocca, M.D., Ph.D.

      Affiliations

    • Jones Institute for Reproductive Medicine, Eastern Virginia Medical School, Norfolk, Virginia
  • ,
  • Dieter Hoenigmann, Ph.D.

      Affiliations

    • Advanced Computer Vision GmbH, Vienna, Austria
  • ,
  • Alfred Abuhamad, M.D.

      Affiliations

    • Department of Obstetrics and Gynecology, Eastern Virginia Medical School, Norfolk, Virginia

Received 11 April 2008; received in revised form 5 August 2008; accepted 20 August 2008. published online 20 October 2008.

Objective

To evaluate the accuracy, efficiency, and applicability of a new automated method of follicular assessment.

Design

Retrospective review of three-dimensional ultrasonographic ovarian volumes.

Setting

Academic center.

Patient(s)

Three-dimensional ovarian volumes from patients undergoing IVF.

Intervention(s)

Three-dimensional volumes of gonadotropin-stimulated ovaries and simulated ovarian follicles (SOFs) of known volume were evaluated with the new automated follicular assessment software (SonoAVC).

Main Outcome Measure(s)

[1] Maximum absolute error for the SonoAVC in assessing the volumes of the SOFs; [2] correlations between the automated and manual follicular measurements; [3] time required to analyze all of the follicles in a given ovarian volume.

Result(s)

The SOF of 4, 6, and 10 mm were evaluated. The SonoAVC's maximum absolute error for the volumes of the 4, 6, and 10 mm SOFs was 0 (0%), 0.01 (8.3%), and 0.02 (3.8%) cc, respectively. Three hundred forty-seven follicles, ranging in diameter from 2.3–32 mm, were evaluated. The correlation coefficient for the SonoAVC-generated relaxed follicular diameter and the manual measured mean follicular diameter was 0.99. The time required to analyze all of the follicles in a given ovarian volume for the automated and manual method was 133 versus 361 seconds, respectively.

Conclusion(s)

The SonoAVC proved to be a very accurate and efficient way to measure ovarian follicles. The measurements obtained by the SonoAVC correlated extremely well with the manual measurements we obtained.

Key Words: Three-dimensional ultrasound, follicular monitoring, follicular assessment, automated ultrasonography, controlled ovarian hyperstimulation, sonoAVC, IVF

To access this article, please choose from the options below

Login to an existing account or Register a new account.

  • Purchase this article for 31.50 USD (You must login/register to purchase this article)

    Online access for 24 hours. The PDF version can be downloaded as your permanent record.

  • Subscribe to this title

    Get unlimited online access to this article and all other articles in this title 24/7 for one year.

  • Claim access now

    For current subscribers with Society Membership or Account Number.

  • Visit SciVerse ScienceDirect to see if you have access via your institution.
 

 T.D.D. is a consultant for GE Medical Systems. I.J. is employed by GE Medical Systems/Kretz Ultrasound. D.O.M. has nothing to disclose. S.O. has nothing to disclose. S.B. has nothing to disclose. D.H. has nothing to disclose. A.A. GE has provided ultrasound equipment and software to Eastern Virginia Medical School, Department of Obstetrics and Gynecology. Some of this equipment and software was used in this study. Eastern Virginia Medical School also has a licensing agreement with GE for Sono-VCAD.

PII: S0015-0282(08)03731-X

doi:10.1016/j.fertnstert.2008.08.102

Fertility and Sterility
Volume 92, Issue 5 , Pages 1562-1568, November 2009