{"id":255,"date":"2017-12-31T09:46:05","date_gmt":"2017-12-31T09:46:05","guid":{"rendered":"http:\/\/clinicalbiochemistry.net\/?page_id=255"},"modified":"2019-01-19T09:25:10","modified_gmt":"2019-01-19T09:25:10","slug":"efficacy-of-embryo-selection-algorithms","status":"publish","type":"page","link":"http:\/\/clinicalbiochemistry.net\/?page_id=255","title":{"rendered":"Efficacy of Embryo Selection Algorithms"},"content":{"rendered":"

Barrie, A., Homberg, R., McDowell, G<\/strong>., Brown, J., Kingsland, C. & Troup, S. (2017) Examining the efficacy of six published time-lapsed imaging embryo selection algorithms to predict implantation to demonstrate the need for development of specific, in-house morphokinetic selection algorithms.<\/strong> Fert Steril 107 pp. 613-621<\/p>\n

Objective<\/strong><\/p>\n

To study the efficacy of five embryo selection algorithms (ESAs) at predicting implantation when applied to a large, exclusive set of known implantation embryos with the aim of demonstrating the need to develop specific, in-house ESAs.<\/p>\n

Design<\/strong><\/p>\n

A retrospective, observational analysis.<\/p>\n

Setting<\/strong><\/p>\n

Fertility Treatment Centre<\/p>\n

Patients<\/strong><\/p>\n

\"\"Nine hundred and eighty embryos derived from 887 treatment cycles performed between September 2014 and September 2015. Patients undergoing treatment by either IVF or ICSI were included. Embryos were cultured using GTL\u2122 (Vitrolife) at 5% O2<\/sub>, 89% N2<\/sub>, 6% CO2<\/sub>, 37\u00b0C in EmbryoScope\u00ae instruments.<\/p>\n

\u00a0<\/p>\n

Main outcome Measure<\/strong><\/p>\n

The difference in implantation rates (IR) of the categories of embryo classification in each ESA defined using specificity, sensitivity and positive predictive value, area under the receiver operating characteristic curve (AUC) and likelihood ratio. The differences in implantation rates (IR) in the categories defined by each ESA were also analysed using Fisher\u2019s exact and Kruskall Wallis statistical tests.<\/p>\n

Results<\/strong><\/p>\n

Each ESA specified time ranges into which embryos must fall to be identified as having the highest potential for the stated end point. The ESAs comprised a variety of observable events including time to pronuclear fading, 2, 3, 4, 5 and 8 cell, cell cycle durations and time to blastulation and blastocyst. When applied to an exclusive cohort of known implantation embryos, the PPV for IR were 42.57%, 38.14%, 44.07%, 38.79%, and 40.45%. The sensitivity was 16.70%, 51.19%, 72.94%, 98.67%, and 62.33%, respectively. Finally, the specificity was 85.90%, 48.09%, 42.12%, 2.65% and 42.62%, respectively. The AUC were 0.535, 0.512, 0.575, 0.546 and 0.583, respectively. There were no significant differences in IR between the categories in four of the five ESAs (p>0.05). One of the ESAs resulted in statistically significant differences in the embryo classifications in terms of IR (p<0.0001).<\/p>\n

Conclusion<\/strong><\/p>\n

The results from the examination of the published ESAs examined highlight the need for the development of in house, patient, treatment and environment specific ESAs. These data suggest that currently available ESAs may not be clinically applicable and lose their diagnostic value when externally applied.<\/p>\n\nFull Text<\/span><\/a>","protected":false},"excerpt":{"rendered":"

Barrie, A., Homberg, R., McDowell, G., Brown, J., Kingsland, C. & Troup, S. (2017) Examining the efficacy of six published time-lapsed imaging embryo selection algorithms to predict implantation to demonstrate the need for development of specific, in-house morphokinetic selection algorithms.<\/p>\n","protected":false},"author":1,"featured_media":170,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"jetpack_post_was_ever_published":false,"_links_to":"","_links_to_target":""},"jetpack_shortlink":"https:\/\/wp.me\/P9tPlw-47","jetpack-related-posts":[{"id":835,"url":"http:\/\/clinicalbiochemistry.net\/?page_id=835","url_meta":{"origin":255,"position":0},"title":"Embryo Selection","date":"January 31, 2021","format":false,"excerpt":"To study the efficacy of embryo selection algorithms (ESAs) at predicting implantation when applied to a large, exclusive set of known implantation embryos with the aim of demonstrating the need to develop specific, in-house ESAs. Our research also focuses on the development of novel biomarker strategies to improve embryo selection.","rel":"","context":"Similar post","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":457,"url":"http:\/\/clinicalbiochemistry.net\/?page_id=457","url_meta":{"origin":255,"position":1},"title":"Abnormal Embryonic Developmental Phenotype","date":"December 31, 2018","format":false,"excerpt":"Barrie, A., Homberg, R., McDowell, G., Brown, J., Kingsland, C. & Troup, S. (2017) Preliminary investigation of the prevalence and implantation potential of abnormal embryonic phenotype assessed using time-lapse imaging. Reprod Biomed Online 34 pp. 455-462. This retrospective, single site observational study aimed to delineate five abnormal embryonic developmental phenotypes,\u2026","rel":"","context":"Similar post","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":850,"url":"http:\/\/clinicalbiochemistry.net\/?page_id=850","url_meta":{"origin":255,"position":2},"title":"Confounding patient and treatment parameters on morphokinetics","date":"February 20, 2021","format":false,"excerpt":"An investigation into the effect of potential confounding patient and treatment parameters on an embryo\u2019s morphokinetic profile Objective: To determine the effect of patient and treatment parameters on nineteen embryo morphokinetic parameters using pronuclear fading as time-zero.\u00a0 Patients: Patients undergoing treatment between September 2014 and January 2016 (n=639) whose embryos\u2026","rel":"","context":"Similar post","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":121,"url":"http:\/\/clinicalbiochemistry.net\/?page_id=121","url_meta":{"origin":255,"position":3},"title":"Research Papers","date":"December 22, 2017","format":false,"excerpt":"Body, R., McDowell, G., Carley, S., Ferguson, J. & Mackway-Jones, K. (2010) \u2018Diagnosing acute myocardial infarction with troponins: how low can you go?\u2019 Emerg Med J. 27 pp. 292-296. Body, R., Carley, S., Wibberley, C., McDowell, G., Ferguson, J. & Mackway- Jones, K. (2010) \u2018The value of symptoms and signs\u2026","rel":"","context":"Similar post","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":261,"url":"http:\/\/clinicalbiochemistry.net\/?page_id=261","url_meta":{"origin":255,"position":4},"title":"Time lapse embryo culture","date":"December 31, 2017","format":false,"excerpt":"Barrie, A., Homberg, R., McDowell, G., Brown, J., Kingsland, C., Troup, S. (2017) Embryos cultured in a time lapse system result in superior treatment outcomes: A strict matched pair analysis. Human Fertility 20 pp. 179-185. A retrospective, strict matched-pair analysis on 728 treatment cycles between January 2011 and September 2014\u2026","rel":"","context":"Similar post","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":240,"url":"http:\/\/clinicalbiochemistry.net\/?page_id=240","url_meta":{"origin":255,"position":5},"title":"Medical Information","date":"December 27, 2017","format":false,"excerpt":"Medical information disclaimer No advice 1.1\u00a0\u00a0\u00a0\u00a0 Our website contains general medical information. 1.2\u00a0\u00a0\u00a0\u00a0 The medical information is not advice and should not be treated as such. 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