Echocardiographic measurements as predictors of racing success

a technology of echocardiography and prediction of racing success, which is applied in the direction of instruments, ultrasonic/sonic/infrasonic image/data processing, ultrasonic/sonic/infrasonic diagnostics, etc. it can solve the problems of inexact science and large percentage of all young horses sold at auction that fail to recoup their original purchase price, so as to improve the odds of selecting high-earning racehorses

Inactive Publication Date: 2005-10-13
EQUINE BIOMECHANICS & EXERCISE PHYSIOLOGY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

[0013] The methods of the present invention thus improve the odds of selecting high and excluding low earner racehorses. Additionally, from within the group of high earners, certain parameters may be applied that enable t...

Problems solved by technology

But despite all the statistical analysis of pedigree, the pre-sale poking and prodding, and the intense scrutiny of a countless number of trained eyes, separating the future winners from the future losers has remained an inexact science at best.
Selecting th...

Method used

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  • Echocardiographic measurements as predictors of racing success
  • Echocardiographic measurements as predictors of racing success
  • Echocardiographic measurements as predictors of racing success

Examples

Experimental program
Comparison scheme
Effect test

example 1

Selecting the Group of Horses

[0056] Selected two dimensional echocardiographic (2DE) measurements were recorded for 5,431 yearling and 2,003 two-year-old Thoroughbred racehorses between the ages of 12 through 28 months. These were unique, unraced horses. Cardiac measurements were recorded primarily at select public yearling and two-year-old auctions between 1995 and 2000.

[0057] All descriptive statistics used only the most current 2DE measurements from each horse, in order to prevent multiple measurements of the same horse from overly influencing statistics within small groups of horses. Using the most recent measurement of the same horse also maximized the number of two-year-olds available for the study. Among the 7,434 unique horses, there were 2,940 fillies (40%), 4,494 colts (60%), 5,431 yearlings (73%), and 2,003 two-year-olds (27%).

[0058] Additionally, 5,909 horses (79%) were at least three years of age by 1 Jan. 2000. Among these horses, by the end of their three-year-old ...

example 2

Measurement Equipment and Techniques

[0066] A Pie Medical, digital cineloop scanner 200 from Classic Medical, (Tequesta, Fla.), with a 3.5 MHz annular array, multiring crystal transducer with a 30-cm field of view at 22 frames per second was used for all measurements. The depth of display varied from 15 to 25 centimeters depending on the size of the horse. The ultrasound recorder was equipped with electronic calipers that were used to measure the stored images at the time of the examination.

[0067] SAS release 6.12 (SAS Institute, Cary, N.C.), for Windows NT (Microsoft) was used for statistical analysis. Universe (IBM) for Windows 2000 (Microsoft) was used to manage the data. The server was a Dell 2300 Poweredge (Dell, Atlanta, Ga.) with dual 450 MHz Intel Pentium processors, running Windows 2000.

[0068] The 2DE imaging protocol was carried out on all horses, by the same, experienced (>5 years) technician to reduce measurement variability. Acoustical coupling gel (Aquasonic 100 ultr...

example 3

Reproducibility and Sources of Measurement Variability

[0085] Variation (or differences) between cardiac measurements is caused by a combination of within- and between-subject variation. Within-subject variation, sometimes called measurement error, indicates how accurately or reproducibly the technician and equipment measures a given variable (hearts and horses are moving targets). Between-subject variation is the range of expected differences among a particular variable in the general population that isn't due to error. Between-subject variation accounted for 84-92% of variation in cardiac measurements in this study, while within-subject variation accounted for 8-16% of variation.

[0086] Measurement variability was calculated for LVD, LVS, and SW among 1,464 horses measured in 1999. These cardiac measurements were repeated at least three times within a period of a few minutes. [1,571 horses were measured in 1999. Those excluded from this variability study lacked at least three meas...

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Abstract

The present invention relates to methods for selecting racehorse candidates. Provided herein are methods for increasing the likelihood of selecting candidates that will be high earners, while reducing the likelihood of selecting candidates that will be low carners, on the basis of certain cardiac measurements.

Description

CROSS REFERENCE TO RELATED PATENT APPLICATIONS [0001] The present application is related to and claims priority of U.S. Patent Application Serial Number (USSN) 60 / 396,592, filed Jul. 17, 2002, which is explicitly incorporated herein by reference in its entirety and for all purposes.FIELD OF THE INVENTION [0002] The present invention is directed to methods for screening candidate racehorses, and improving the likelihood of selecting a candidate that will become a successful racehorse. BACKGROUND [0003] For centuries, perhaps ever since the horse was first domesticated, people have raced their horses against each other, to see which man owned the faster animal. Countless generations of breeding the fastest stallion to the best mares has led to the modern racehorse, a magnificent running machine, genetically selected to excel in the modern version of “the sport of kings,” a sport that still thrives across the globe today. [0004] Since the sport first began, people have bought, sold and...

Claims

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Application Information

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IPC IPC(8): A01K29/00A61B8/08A63K3/00G06Q10/00
CPCA61B8/0858A61B8/463G06Q99/00G06Q10/10A63K3/00
Inventor SEDER, JEFFREY A.
Owner EQUINE BIOMECHANICS & EXERCISE PHYSIOLOGY
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