Literature DB >> 25854656

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

Cristina Lagalla1, Marzia Barberi, Giovanna Orlando, Raffaella Sciajno, Maria Antonietta Bonu, Andrea Borini.   

Abstract

PURPOSE: To quantify blastocyst morphologic parameters with a feasible and standardized tool, investigating their predictive value on implantation outcome.
METHOD: The study retrospectively analyzes 124 blastocysts from 75 patients. Quantitative measurements of blastocyst expansion, inner cell mass and trophoectoderm were taken using digital image analysis software. RESULT(S): Blastocysts areas were found to be ranging from 11626.2 up to 35076.4 μm(2). The area of an early blastocyst is A ≤ 18500 μm(2) with a mean diameter d = 140 ± 9 μm, and the area of an expanded blastocyst is A ≥ 24000 with d = 190 ± 9 μm. While blastocyst mean area was not related to implantation rate, more expanded blastocysts displayed a significantly higher implantation rate. Trophoectoderm cell number is a predictor of positive outcome: since a higher of cells (25.6 ± 11.3 vs 16.3 ± 12.8) `forming a tightly knit epithelium is prognostic of implantation potential. Conversely, inner cell mass size is significantly related to implantation only in expanded blastocysts (3122.7 ± 739.0 vs. 2978.1 ± 366.0 μm(2)). CONCLUSION(S): Evaluation of blastocyst morphology with a digital image system could be a valuable tool to standardize blastocyst grading based on quantitative parameters. Therefore, digital analysis may be helpful in identifying the best blastocyst to transfer.

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Mesh:

Year:  2015        PMID: 25854656      PMCID: PMC4429436          DOI: 10.1007/s10815-015-0469-3

Source DB:  PubMed          Journal:  J Assist Reprod Genet        ISSN: 1058-0468            Impact factor:   3.412


  29 in total

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5.  A prospective randomized trial of blastocyst culture and transfer in in-vitro fertilization.

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Review 8.  Live birth rates after transfer of equal number of blastocysts or cleavage-stage embryos in IVF. A systematic review and meta-analysis.

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9.  Computer-controlled, multilevel, morphometric analysis of blastomere size as biomarker of fragmentation and multinuclearity in human embryos.

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10.  A review on automatic analysis of human embryo microscope images.

Authors:  E Santos Filho; J A Noble; D Wells
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3.  Overall Blastocyst Quality, Trophectoderm Grade, and Inner Cell Mass Grade Predict Pregnancy Outcome in Euploid Blastocyst Transfer Cycles.

Authors:  Yan-Yu Zhao; Yang Yu; Xiao-Wei Zhang
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4.  The Association of Kinetic Variables with Blastocyst Development and Ploidy Status.

Authors:  Francesca Pennetta; Cristina Lagalla; Raffaella Sciajno; Nicoletta Tarozzi; Marco Nadalini; Carlotta Zacà; Giovanni Coticchio; Andrea Borini
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5.  Predicting pregnancy test results after embryo transfer by image feature extraction and analysis using machine learning.

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  5 in total

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