Standardization of grading embryo morphology

Racowsky, Catherine; Vernon, Michael; Mayer, Jacob; Ball, G.D.; Behr, Barry; Pomeroy, Kimball O.; Wininger, David; Gibbons, William E.; Conaghan, J.; Stern, Judy E.

doi:10.1016/j.fertnstert.2010.05.042

Cited by 124 publications

(89 citation statements)

References 8 publications

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“…The classification system of embryos and blastocysts should be simple, composed of fields that are based on scientific research, with a predictive value tested and easily adaptable in laboratories (Racowsky et al, 2010). ( Richardson et al, 2015).…”

Section: Discussionmentioning

confidence: 99%

“…Although the classification of blastocysts is based on the morphology of ICM, TE, as well as the expansion of the blastocyst cavity (Balaban et al, 2006;Racowsky et al, 2010;Hill et al, 2013), these classification systems may be difficult for patients to understand when discussing their embryonic quality prior to the transfer of an embryo . Therefore, other systems have been developed, such as the Sjoblom system, that considers the classification of the expansion, ICM and TE together, assigning A, B or C to the blastocyst score.…”

Section: Discussionmentioning

confidence: 99%

“…Several systems of morphological classification of embryos and blastocysts have been developed (Balaban et al, 2006;Mackenna et al, 2013;Hossain et al, 2016), from simple systems with one-degree assignment to complex systems using formulas to predict the likelihood of a pregnancy (Matsuura et al, 2010;Racowsky et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

“…In the case of blastocysts, the evaluation and morphological classification usually considers the morphology of the inner cell mass (ICM), the morphology of the trophectoderm (TE) and cavity expansion (Balaban et al, 2006;Racowsky et al, 2010;Hill et al, 2013). Some of the systems published for classification of Blastocysts include Gardner (Gardner et al, 2000;2004;Balaban et al, 2006), Veeck & Zaninovic (2003), Cecilia Sjoblom (Richardson et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

“…In Spain, the Association for the Study of Biology of Reproduction -ASEBIR, published in 2015, the third edition of the ASEBIR Criteria for Morphological Assessment of Oocytes, Early Embryos and Human Blastocysts (ASEBIR, 2015). The Society for Assisted Reproductive Technology (SART) adhered to the embryo morphological evaluation system based on three categories: Good, Fair and Poor (Racowsky et al, 2010 No records were found regarding a consensus in terms of blastocyst classification systems in Latin America. Therefore, the present study aims to identify the different blastocyst classification systems that are used by embryologists in Latin American countries and evaluate the possibility of establishing a consensus among these countries.…”

Section: Introductionmentioning

confidence: 99%

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Blastocyst classification systems used in Latin America: is a consensus possible?

Puga-Torres¹,

Blum-Rojas²,

Blum-Narváez³

2017

JBRA Assisted Reproduction

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Blastocyst classification systems used in Latin America: is a consensus possible?

Puga-Torres¹,

Blum-Rojas²,

Blum-Narváez³

2017

JBRA Assisted Reproduction

View full text Add to dashboard Cite

show abstract

Semiautomated analysis of embryoscope images: Using localized variance of image intensity to detect embryo developmental stages

et al. 2015

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Embryo selection in in vitro fertilization (IVF) treatment has traditionally been done manually using microscopy at intermittent time points during embryo development. Novel technique has made it possible to monitor embryos using time lapse for long periods of time and together with the reduced cost of data storage, this has opened the door to long-term time-lapse monitoring, and large amounts of image material is now routinely gathered. However, the analysis is still to a large extent performed manually, and images are mostly used as qualitative reference. To make full use of the increased amount of microscopic image material, (semi)automated computer-aided tools are needed. An additional benefit of automation is the establishment of standardization tools for embryo selection and transfer, making decisions more transparent and less subjective. Another is the possibility to gather and analyze data in a high-throughput manner, gathering data from multiple clinics and increasing our knowledge of early human embryo development. In this study, the extraction of data to automatically select and track spatiotemporal events and features from sets of embryo images has been achieved using localized variance based on the distribution of image grey scale levels. A retrospective cohort study was performed using time-lapse imaging data derived from 39 human embryos from seven couples, covering the time from fertilization up to 6.3 days. The profile of localized variance has been used to characterize syngamy, mitotic division and stages of cleavage, compaction, and blastocoel formation. Prior to analysis, focal plane and embryo location were automatically detected, limiting precomputational user interaction to a calibration step and usable for automatic detection of region of interest (ROI) regardless of the method of analysis. The results were validated against the opinion of clinical experts. V C 2015 International Society for Advancement of Cytometry Key termsKey terms: automated image analysis; image-based embryo classification; computeraided diagnosis; automated annotation; time-lapse microscopy; embryoscope; embryology IN vitro fertilization (IVF) has been in clinical use for more than 30 years. Nevertheless, there is scope for improvement of the embryo selection procedure. By refining selection based on a greater understanding of embryo quality, we could not only reduce multiple births but also save patients the cost and distress of multiple failed attempts. Time-lapse imaging of embryos offers the prospect of such improvements and recent advances in incubator and imaging technology have enabled frequent observation and image capture of individual embryos at intervals of a few minutes. However, with the increased amount of generated imaging data, it is essential to find quality markers suitable for automated detection via computer-aided diagnostic tools. This technology has also opened up a new area of research studying the impact

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