Literature DB >> 16727734

Agreement among evaluators of bovine embryos produced in vivo or in vitro.

P W Farin1, J H Britt, D W Shaw, B D Slenning.   

Abstract

Six experienced individuals evaluated 40 embryos on videotape for stage of development and quality grade. These 40 observations comprised 15 embryos produced in vivo, 15 embryos produced in vitro, and 10 embryos that were repeated throughout the videotape. Embryos produced in vivo were recovered from uterine flushings of superovulated heifers 7 d after estrus, and embryos produced in vitro were harvested 7 d after insemination of in vitro-matured oocytes. Embryos of various stages (morulae, blastocysts, or degenerated) and quality grades (1 = excellent, 2 = good, 3 = fair, 4 = degenerated) were recorded on videotape for evaluation. After video microscopy, the embryos were stained and the number of nuclei per embryo was counted. Six evaluators reviewed the videotape and the percentage of agreement and kappa (k; agreement beyond chance) among evaluators were determined for classifications of stage and grade. Consistency of each evaluator's responses was estimated using the 10 repeated embryos. Agreement within evaluators was higher for stage of embryo development (89.2%) than quality grade (68.5%). Agreement among evaluators for stage was slightly higher with embryos produced in vivo (85.0%, k = 0.74) than in vitro (72.3%, k = 0.48). Agreement among evaluators for grade was similar with embryos from in vivo (61.0%, k = 0.46) and in vitro (57.7%, k = 0.42) production. For both sources of embryos, agreement was substantially better for Grades 1 and 4 than for Grades 2 and 3. The results of this study suggest that good to excellent agreement exists for classifying Day 7 bovine embryos by stage and by extremes of quality grade (Grades 1 and 4) but not by degree of abnormal morphology (Grades 2 and 3). Simple grading criteria of Grade 1 (highest quality), Grade 2 (morphologic defects), and Grade 3 (degenerated) maximized agreement among evaluators.

Entities:  

Year:  1995        PMID: 16727734     DOI: 10.1016/0093-691x(95)00189-f

Source DB:  PubMed          Journal:  Theriogenology        ISSN: 0093-691X            Impact factor:   2.740


  9 in total

1.  Prediction of pregnancy viability in bovine in vitro-produced embryos and recipient plasma with Fourier transform infrared spectroscopy.

Authors:  M Muñoz; A Uyar; E Correia; C Díez; A Fernandez-Gonzalez; J N Caamaño; D Martínez-Bello; B Trigal; P Humblot; C Ponsart; C Guyader-Joly; S Carrocera; D Martin; B Marquant Le Guienne; E Seli; E Gomez
Journal:  J Dairy Sci       Date:  2014-07-03       Impact factor: 4.034

2.  Promising system for selecting healthy in vitro-fertilized embryos in cattle.

Authors:  Satoshi Sugimura; Tomonori Akai; Yutaka Hashiyada; Tamás Somfai; Yasushi Inaba; Muneyuki Hirayama; Tadayuki Yamanouchi; Hideo Matsuda; Shuji Kobayashi; Yoshio Aikawa; Masaki Ohtake; Eiji Kobayashi; Kazuyuki Konishi; Kei Imai
Journal:  PLoS One       Date:  2012-05-09       Impact factor: 3.240

3.  A method using artificial neural networks to morphologically assess mouse blastocyst quality.

Authors:  Felipe Delestro Matos; José Celso Rocha; Marcelo Fábio Gouveia Nogueira
Journal:  J Anim Sci Technol       Date:  2014-08-30

Review 4.  Methods for assessing the quality of mammalian embryos: How far we are from the gold standard?

Authors:  José C Rocha; Felipe Passalia; Felipe D Matos; Marc P Maserati; Mayra F Alves; Tamie G de Almeida; Bruna L Cardoso; Andrea C Basso; Marcelo F G Nogueira
Journal:  JBRA Assist Reprod       Date:  2016-08-01

Review 5.  Selection of viable in vitro-fertilized bovine embryos using time-lapse monitoring in microwell culture dishes.

Authors:  Satoshi Sugimura; Tomonori Akai; Kei Imai
Journal:  J Reprod Dev       Date:  2017-05-26       Impact factor: 2.214

6.  A Method Based on Artificial Intelligence To Fully Automatize The Evaluation of Bovine Blastocyst Images.

Authors:  José Celso Rocha; Felipe José Passalia; Felipe Delestro Matos; Maria Beatriz Takahashi; Diego de Souza Ciniciato; Marc Peter Maserati; Mayra Fernanda Alves; Tamie Guibu de Almeida; Bruna Lopes Cardoso; Andrea Cristina Basso; Marcelo Fábio Gouveia Nogueira
Journal:  Sci Rep       Date:  2017-08-09       Impact factor: 4.379

7.  Biodynamic optical assay for embryo viability.

Authors:  Zhe Li; Natalie Ehmke; Ilka M Lorenzo; Zoltan Machaty; David Nolte
Journal:  J Biomed Opt       Date:  2019-06       Impact factor: 3.170

8.  Metabolites Secreted by Bovine Embryos In Vitro Predict Pregnancies That the Recipient Plasma Metabolome Cannot, and Vice Versa.

Authors:  Enrique Gomez; Nuria Canela; Pol Herrero; Adrià Cereto; Isabel Gimeno; Susana Carrocera; David Martin-Gonzalez; Antonio Murillo; Marta Muñoz
Journal:  Metabolites       Date:  2021-03-11

9.  Metabolomic prediction of pregnancy viability in superovulated cattle embryos and recipients with fourier transform infrared spectroscopy.

Authors:  Marta Muñoz; Asli Uyar; Eva Correia; Claire Ponsart; Catherine Guyader-Joly; Daniel Martínez-Bello; Brigitte Marquant-Le Guienne; Alfonso Fernandez-Gonzalez; Carmen Díez; Jose Nestor Caamaño; Beatriz Trigal; Patrice Humblot; Susana Carrocera; David Martin; Emre Seli; Enrique Gomez
Journal:  Biomed Res Int       Date:  2014-04-15       Impact factor: 3.411

  9 in total

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