A New Algorithm for Embryo Selection?

Peter Kovacs, MD, PhD


November 01, 2016


TL technology is proposed to improve IVF outcome by allowing undisturbed embryo culture and providing significantly more information about embryo development. Various morphokinetic parameters have been linked to various laboratory and clinical outcomes.[5,6,7]

Several groups have built algorithms based on TL parameters and suggested their incorporation into routine laboratory work. The algorithms worked well in the data set on which they were based, but performed less well under different conditions in a different patient population.[8,9]

Early on, it was proposed that each clinic should build their own algorithm based on locally collected TL data. This could be a problem for clinics with a smaller patient volume.

It is important, therefore, that this KIDScore algorithm was developed on the basis of data obtained from 24 clinics using different stimulation protocols, different incubators, different oxygen concentration, and different culture media, among other factors. When tested in subsets of cases, the algorithm did not lose its predictive ability.

It seems that this algorithm is indeed universally applicable and is ready for introduction. However, it would be important to prospectively show that applying TL monitoring and the KIDScore improves clinical outcomes over the current standard of once-daily out-of-incubator assessment.


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