Literature DB >> 15949227

Predictive factors for embryo implantation potential.

Andrea Borini1, Cristina Lagalla, Monica Cattoli, Elena Sereni, Raffaella Sciajno, Carlo Flamigni, Giovanni Coticchio.   

Abstract

In spite of recent improvements in IVF, pregnancy rates have not increased significantly and one of the major problems remains the high multiple pregnancy rate. Better criteria are therefore necessary to establish the viability of a transferable embryo. Early prognosis of the developmental fate of the oocyte would help in selecting the best embryos to transfer, but non-invasive selection at the oocyte stage (extracytoplasmic and intracytoplasmic morphology) has proved to be of little prognostic value. Recently, it has been shown that follicular vascularization appears to be predictive of oocyte developmental fate, making it a good first-step approach for selection. Observation of pronuclei patterns at the zygote stage appears to offer an additional prognostic tool, correlating well with IVF outcome. Morphological evaluation of the embryo at days 2-3 remains the most used and valid method of selection, even though it is not sufficient to select embryos with the higher implantation potential. Blastocyst culture is another possible strategy for selecting the best embryos with reduced risk of aneuploidies, though not all major chromosomal aberrations are excluded by prolonged in-vitro culture. In summary, selecting the best embryo for transfer is a decision that should be based on choices made during the different stages of assisted reproductive technologies.

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Year:  2005        PMID: 15949227     DOI: 10.1016/s1472-6483(10)61675-6

Source DB:  PubMed          Journal:  Reprod Biomed Online        ISSN: 1472-6483            Impact factor:   3.828


  18 in total

1.  Association of creatin kinase B and peroxiredoxin 2 expression with age and embryo quality in cumulus cells.

Authors:  Maw-Sheng Lee; Chung-Hsien Liu; Tsung-Hsien Lee; Hui-Mei Wu; Chun-Chia Huang; Lii-Shung Huang; Chuan-Mu Chen; En-Hui Cheng
Journal:  J Assist Reprod Genet       Date:  2010-08-19       Impact factor: 3.412

Review 2.  Observation of human embryonic behavior in vitro by high-resolution time-lapse cinematography.

Authors:  Kyoko Iwata; Yasuyuki Mio
Journal:  Reprod Med Biol       Date:  2016-01-05

Review 3.  Lab-on-a-chip biophotonics: its application to assisted reproductive technologies.

Authors:  David Lai; Gary D Smith; Shuichi Takayama
Journal:  J Biophotonics       Date:  2012-06-15       Impact factor: 3.207

4.  Biomarkers of human oocyte developmental competence expressed in cumulus cells before ICSI: a preliminary study.

Authors:  Mourad Assidi; Markus Montag; Katrin Van der Ven; Marc-André Sirard
Journal:  J Assist Reprod Genet       Date:  2010-10-16       Impact factor: 3.412

5.  Combining Machine Learning with Metabolomic and Embryologic Data Improves Embryo Implantation Prediction.

Authors:  Aswathi Cheredath; Shubhashree Uppangala; Asha C S; Ameya Jijo; Vani Lakshmi R; Pratap Kumar; David Joseph; Nagana Gowda G A; Guruprasad Kalthur; Satish Kumar Adiga
Journal:  Reprod Sci       Date:  2022-09-12       Impact factor: 2.924

6.  Noninvasive metabolic profiling using microfluidics for analysis of single preimplantation embryos.

Authors:  John Paul Urbanski; Mark T Johnson; David D Craig; David L Potter; David K Gardner; Todd Thorsen
Journal:  Anal Chem       Date:  2008-07-29       Impact factor: 6.986

7.  Relationship between pronuclear scoring and embryo quality and implantation potential in IVF-ET.

Authors:  Qun Liu; Guijin Zhu; Juan Hu; Yulan Wei; Xinling Ren; Hanwang Zhang; Yufeng Li; Lei Jin; Jing Yue
Journal:  J Huazhong Univ Sci Technolog Med Sci       Date:  2008-05-15

Review 8.  Preservation of female fertility during cancer treatment.

Authors:  Atsushi Imai; Tatsuro Furui; Akio Yamamoto
Journal:  Reprod Med Biol       Date:  2008-02-01

9.  Cleavage speed and implantation potential of early-cleavage embryos in IVF or ICSI cycles.

Authors:  Meng-Ju Lee; Robert Kuo-Kuang Lee; Ming-Huei Lin; Yuh-Ming Hwu
Journal:  J Assist Reprod Genet       Date:  2012-07-25       Impact factor: 3.412

10.  Preclinical validation of a microarray method for full molecular karyotyping of blastomeres in a 24-h protocol.

Authors:  D S Johnson; G Gemelos; J Baner; A Ryan; C Cinnioglu; M Banjevic; R Ross; M Alper; B Barrett; J Frederick; D Potter; B Behr; M Rabinowitz
Journal:  Hum Reprod       Date:  2010-01-24       Impact factor: 6.918

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