Literature DB >> 24070998

Inter- and intra-observer variability of time-lapse annotations.

Linda Sundvall1, Hans Jakob Ingerslev, Ulla Breth Knudsen, Kirstine Kirkegaard.   

Abstract

STUDY QUESTION: How consistent is the time-lapse annotation of dynamic and static morphologic parameters of embryo development, within and between observers? SUMMARY ANSWER: The assessment of dynamic parameters is characterized by almost perfect agreement within and between observers. WHAT IS KNOWN ALREADY: The commonly employed method used to assess embryos in IVF treatments is based on static evaluation of morphology in a microscope, but this is limited by substantial intra- and inter-observer variation. Time-lapse imaging has been proposed as a method to refine embryo selection by adding new dynamic predictors of viability to the assessment. Yet, there are no data regarding the consistency of estimates of the time-lapse parameters. STUDY DESIGN, SIZE, DURATION: Infertile patients were recruited at the Fertility Clinic, Arhus University Hospital from February 2011 to June 2012. All embryos were cultured for 6 days in a time-lapse incubator (EmbryoScope(™)). Automated image recording was performed every 20 min. PARTICIPANTS/MATERIALS, SETTING,
METHODS: In total, 158 fertilized embryos from 20 different patients were annotated. Three observers made independent annotations on time-lapse recordings. One observer performed the assessment twice. Twenty-five parameters were annotated and the inter- and intra-observer agreement was assessed by calculating intra-class correlation coefficients (ICCs). MAIN RESULTS AND THE ROLE OF CHANCE: Extremely close agreement (ICC 0.99) was found for dynamic parameters including the timing of the following: pronuclei breakdown, completion of blastocyst hatching and the appearance and disappearance of the first nucleus after the first division. Observations of cleavage divisions were strongly correlated (ICC > 0.8), indicating close agreement. Measurements of the static morphologic parameters, i.e. multi-nucleation and evenness of blastomeres at 2-cell stage showed fair-to-moderate agreement (ICC ≤ 0.5). LIMITATIONS, REASON FOR CAUTION: The study was conducted at a single clinic. Only embryos with a good prognosis were included. The influence of training sessions was not measured. WIDER IMPLICATIONS OF THE
FINDINGS: Consistency is crucial to the validity of embryo scoring and selection. All of the time-lapse parameters suggested by the literature showed in our study high intra- and inter-observer correlation, thus validating the precision of time-lapse annotations. This provides the basis for further investigation of embryo assessment and selection by time-lapse imaging in prospective trials. STUDY FUNDING/COMPETING INTEREST(S): Research at the Fertility Clinic was funded by an unrestricted grant from Ferring and MSD. The authors have no competing interests to declare. TRIAL REGISTRATION NUMBER: NCT01139268.

Entities:  

Keywords:  assisted reproductive techniques; embryology; observer variation; quality control

Mesh:

Year:  2013        PMID: 24070998     DOI: 10.1093/humrep/det366

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


  33 in total

1.  Reproducibility of a time-lapse embryo selection model based on morphokinetic data in a sequential culture media setting.

Authors:  Ender Yalçınkaya; Elif G Ergin; Eray Calışkan; Zeynep Oztel; Alev Ozay; Hakan Ozörnek
Journal:  J Turk Ger Gynecol Assoc       Date:  2014-08-08

2.  Morphokinetic parameters using time-lapse technology and day 5 embryo quality: a prospective cohort study.

Authors:  Ashleigh Storr; Christos A Venetis; Simon Cooke; Daisy Susetio; Suha Kilani; William Ledger
Journal:  J Assist Reprod Genet       Date:  2015-07-15       Impact factor: 3.412

3.  Is early embryo development as observed by time-lapse microscopy dependent on whether fresh or frozen sperm was used for ICSI? A cohort study.

Authors:  Jessica Eastick; Christos Venetis; Simon Cooke; Ashleigh Storr; Daisy Susetio; Michael Chapman
Journal:  J Assist Reprod Genet       Date:  2017-04-29       Impact factor: 3.412

4.  The association between coenzyme Q10 concentrations in follicular fluid with embryo morphokinetics and pregnancy rate in assisted reproductive techniques.

Authors:  Süleyman Akarsu; Funda Gode; Ahmet Zeki Isik; Zeliha Günnur Dikmen; Mustafa Agah Tekindal
Journal:  J Assist Reprod Genet       Date:  2017-02-09       Impact factor: 3.412

5.  Altered cleavage patterns in human tripronuclear embryos and their association to fertilization method: a time-lapse study.

Authors:  Mette Warming Joergensen; Inge Agerholm; Johnny Hindkjaer; Lars Bolund; Lone Sunde; Hans Jakob Ingerslev; Kirstine Kirkegaard
Journal:  J Assist Reprod Genet       Date:  2014-01-24       Impact factor: 3.412

6.  Unaltered timing of embryo development in women with polycystic ovarian syndrome (PCOS): a time-lapse study.

Authors:  Linda Sundvall; Kirstine Kirkegaard; Hans Jakob Ingerslev; Ulla Breth Knudsen
Journal:  J Assist Reprod Genet       Date:  2015-05-01       Impact factor: 3.412

7.  Does sperm origin affect embryo morphokinetic parameters?

Authors:  Jenna Lammers; Arnaud Reignier; Carole Splingart; Aurore Catteau; Laurent David; Paul Barriere; Thomas Freour
Journal:  J Assist Reprod Genet       Date:  2015-06-25       Impact factor: 3.412

8.  Effect of moderate, 30 percent global maternal nutrient reduction on fetal and postnatal baboon phenotype.

Authors:  Cun Li; Susan Jenkins; Vicki Mattern; Anthony G Comuzzie; Laura A Cox; Hillary F Huber; Peter W Nathanielsz
Journal:  J Med Primatol       Date:  2017-07-26       Impact factor: 0.667

9.  Comparison of the development of human embryos cultured in either an EmbryoScope or benchtop incubator.

Authors:  R Sciorio; J K Thong; S J Pickering
Journal:  J Assist Reprod Genet       Date:  2017-12-15       Impact factor: 3.412

10.  Assessing equine embryo developmental competency by time-lapse image analysis.

Authors:  Kelsey E Brooks; Brittany L Daughtry; Elizabeth Metcalf; Keith Masterson; David Battaglia; Lina Gao; Byung Park; Shawn L Chavez
Journal:  Reprod Fertil Dev       Date:  2019-01       Impact factor: 2.311

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