Literature DB >> 23315063

Semi-automated morphometric analysis of human embryos can reveal correlations between total embryo volume and clinical pregnancy.

G Paternot1, S Debrock, D De Neubourg, T M D'Hooghe, C Spiessens.   

Abstract

STUDY QUESTION: Is there a link between morphometric characteristics measured by a computer-assisted scoring system and clinical pregnancy outcome? SUMMARY ANSWER: The results confirm that computer-assisted assessment of the total embryo volume is associated with clinical pregnancy outcome and can be used to complement current procedures of embryo selection. WHAT IS KNOWN ALREADY: Morphometric analysis of a large group of embryos has revealed the potential to optimize algorithms for image-analysis systems for the grading of embryos and predicting pregnancy outcomes. STUDY DESIGN, SIZE, DURATION: Oocytes and embryos were obtained from 458 patients who underwent single embryo transfer on Day 3 after IVF/ICSI, between September 2006 and December 2010 at the Leuven University Fertility Center, Belgium. In total, the data set contained 2796 embryos including 458 embryos that were transferred on Day 3. Ongoing pregnancy was defined as the presence of at least one intrauterine gestational sac at 20 weeks. PARTICIPANTS/MATERIALS, SETTING,
METHODS: Patients included in this study were younger than 36 years, entering their first (n = 375) or second (n = 83) IVF/ICSI cycle and were only included once. Patients were excluded if the cycle included biopsy for PGD or if donor sperm/donor oocytes were used. Based on the 26 sequential images of the same embryo taken at one time point in different planes, the software calculates the total cytoplasmic volume for each time point, from which any reduction or change in the volume with time can be assessed (which helps interpret the degree of fragmentation) and the size of blastomeres. The diameter of the smallest and largest blastomere and the total volume of each embryo were extracted from the computer-assisted scoring system database and the coefficient of diversity was calculated for Days 1, 2 and 3. A logistic regression analysis was performed to determine the range of embryo volume associated with an increased chance of pregnancy. MAIN RESULTS AND THE ROLE OF CHANCE: On Day 3, blastomeres of 8-cell stage embryos were less divergent in size than those of 6-, 7-, 9-cell stage embryos. Although, the coefficients of diversity (ratio of the largest:smallest blastomeres) of implanted embryos tended to be lower than for non-implanted embryos, the difference was only significant for 6-cell stage embryos (P = 0.02). After logistic regression, an association between total embryo volume and pregnancy was observed which had a quadratic nature: both lower and higher volumes were associated with a lower probability of successful pregnancy. A significant association was identified between total embryo volume and pregnancy rate on both Days 2 (P = 0.003) and 3 (P = 0.0003). Diagnostic measures (sensitivity, specificity, positive predictive value, accuracy and c-statistics) of the defined volume range were relatively poor. However, results showed a good negative predictive value [76.86% (95% confidence interval 71.03-82.02) on Day 3]. LIMITATIONS, REASONS FOR CAUTION: A general disadvantage of studies evaluating the impact of a characteristic on the implantation potential of an embryo is the fact that the best embryo is chosen for transfer. No comparisons can therefore be made with the other embryos. Moreover, the decision process is currently based on a non-automated, standard scoring system, which means that a 'bias' in the selection process is always present. WIDER IMPLICATIONS OF THE
FINDINGS: Our results are an important step towards the development of an automated computer-assisted scoring system for the morphological characteristics of human embryos to improve embryo selection for optimizing implantation potential. Total embryo volume appears to be one of the objective characteristics that should be included. STUDY FUNDING/COMPETING INTEREST(S): None. TRIAL REGISTRATION NUMBER: Not applicable.

Entities:  

Mesh:

Year:  2013        PMID: 23315063     DOI: 10.1093/humrep/des427

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


  15 in total

1.  A critical appraisal of time-lapse imaging for embryo selection: where are we and where do we need to go?

Authors:  Catherine Racowsky; Peter Kovacs; Wellington P Martins
Journal:  J Assist Reprod Genet       Date:  2015-07-01       Impact factor: 3.412

Review 2.  Are computational applications the "crystal ball" in the IVF laboratory? The evolution from mathematics to artificial intelligence.

Authors:  Mara Simopoulou; Konstantinos Sfakianoudis; Evangelos Maziotis; Nikolaos Antoniou; Anna Rapani; George Anifandis; Panagiotis Bakas; Stamatis Bolaris; Agni Pantou; Konstantinos Pantos; Michael Koutsilieris
Journal:  J Assist Reprod Genet       Date:  2018-07-27       Impact factor: 3.412

3.  A quantitative approach to blastocyst quality evaluation: morphometric analysis and related IVF outcomes.

Authors:  Cristina Lagalla; Marzia Barberi; Giovanna Orlando; Raffaella Sciajno; Maria Antonietta Bonu; Andrea Borini
Journal:  J Assist Reprod Genet       Date:  2015-04-09       Impact factor: 3.412

Review 4.  Application of microfluidic technologies to human assisted reproduction.

Authors:  Gary D Smith; Shuichi Takayama
Journal:  Mol Hum Reprod       Date:  2017-04-01       Impact factor: 4.025

5.  Automatic blastomere recognition from a single embryo image.

Authors:  Yun Tian; Ya-bo Yin; Fu-qing Duan; Wei-zhou Wang; Wei Wang; Ming-quan Zhou
Journal:  Comput Math Methods Med       Date:  2014-07-14       Impact factor: 2.238

6.  Different effectiveness of closed embryo culture system with time-lapse imaging (EmbryoScope(TM)) in comparison to standard manual embryology in good and poor prognosis patients: a prospectively randomized pilot study.

Authors:  Yan-Guang Wu; Emanuela Lazzaroni-Tealdi; Qi Wang; Lin Zhang; David H Barad; Vitaly A Kushnir; Sarah K Darmon; David F Albertini; Norbert Gleicher
Journal:  Reprod Biol Endocrinol       Date:  2016-08-24       Impact factor: 5.211

7.  Effect of embryo morphology and morphometrics on implantation of vitrified day 3 embryos after warming: a retrospective cohort study.

Authors:  Elia Fernandez Gallardo; Carl Spiessens; Thomas D'Hooghe; Sophie Debrock
Journal:  Reprod Biol Endocrinol       Date:  2016-07-30       Impact factor: 5.211

8.  Clinical pregnancy is significantly associated with the blastocyst width and area: a time-lapse study.

Authors:  Romualdo Sciorio; D Thong; K J Thong; Susan J Pickering
Journal:  J Assist Reprod Genet       Date:  2021-01-20       Impact factor: 3.412

9.  Blastocyst score, a blastocyst quality ranking tool, is a predictor of blastocyst ploidy and implantation potential.

Authors:  Qiansheng Zhan; E T Sierra; Jonas Malmsten; Zhen Ye; Zev Rosenwaks; Nikica Zaninovic
Journal:  F S Rep       Date:  2020-09-28

10.  Selecting the embryo with the highest implantation potential using a data mining based prediction model.

Authors:  Fang Chen; Diane De Neubourg; Sophie Debrock; Karen Peeraer; Thomas D'Hooghe; Carl Spiessens
Journal:  Reprod Biol Endocrinol       Date:  2016-03-03       Impact factor: 5.211

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.