Literature DB >> 8530659

Prediction of ovarian cycle outcome by follicular characteristics, stage 1.

M A Gore1, P L Nayudu, V Vlaisavljevic, N Thomas.   

Abstract

Both dominant and subdominant follicles have been identified and individually monitored over the follicular phases of 54 natural cycles in 36 women. Population dynamics of all antral follicles, visible by ultrasonography, in the ovary over the entire cycle have also been characterized for the first time. This has been accomplished by developing a new system of mapping and monitoring follicles, including a three-dimensional computer imaging model and correlation program. The different dominant follicle types were characterized by their ultrasonographic properties. Ovulatory follicles were rounded in shape and mid-range echogenic, with a smooth antral edge by late follicular phase. Luteinized unruptured follicles were round, had low echogenicity and a very smooth antral edge. Atretic follicles were irregular in shape and antral edge and had mid-range echogenicity. A further important finding was that follicle success appears to be related to timing of growth and to the subdominant follicle population present in the ovary. An analysis of follicle population dynamics in ovulatory cycles showed a drastic decrease in number at the end of the luteal phase, followed by a sharp increase at the beginning of the follicular phase. This study has demonstrated that characteristics of individual follicles and population dynamics of both dominant and subdominant follicles are strongly associated with cycle outcome. These findings will contribute towards a predictive model of dominant follicle status and cycle outcome. A new hypothesis of follicle competition has also been proposed.

Entities:  

Mesh:

Year:  1995        PMID: 8530659     DOI: 10.1093/oxfordjournals.humrep.a136292

Source DB:  PubMed          Journal:  Hum Reprod        ISSN: 0268-1161            Impact factor:   6.918


  4 in total

1.  Possible influence of menstrual cycle on lymphocyte X chromosome mosaicism.

Authors:  K Gersak; M Perme-Pohar; A Veble; B M Gersak
Journal:  J Assist Reprod Genet       Date:  2014-11-16       Impact factor: 3.412

Review 2.  Computerized detection and recognition of follicles in ovarian ultrasound images: a review.

Authors:  Božidar Potočnik; Boris Cigale; Damjan Zazula
Journal:  Med Biol Eng Comput       Date:  2012-09-26       Impact factor: 2.602

3.  Automated computer-assisted detection of follicles in ultrasound images of ovary.

Authors:  B Potocnik; D Zazula; D Korze
Journal:  J Med Syst       Date:  1997-12       Impact factor: 4.460

4.  Self-Monitoring of Fertility Hormones: A New Era for Natural Family Planning?

Authors:  Leonard Blackwell; Delwyn Cooke; Simon Brown
Journal:  Linacre Q       Date:  2018-03-28
  4 in total

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