Determining respiratory or circulatory health condition in animals for improved management

• US 7,931,593 B2
• Filed: 04/17/2009
• Issued: 04/26/2011
• Est. Priority Date: 11/30/2004
• Status: Active Grant

• Current Assignee: J. T. Haynes
• Original Assignee: Micro Beef Technologies Ltd (MWI Veterinary Supply Incorporated)
• Inventors: Pratt, William C., Haynes, John T.
• Primary Examiner(s): Le; Long V
• Assistant Examiner(s): Fernandez; Katherine L
• Application Number:
  US12/425,559
• Publication Number:
  US 20090318801A1
• Time in Patent Office: 739 Days
• Field of Search: 600/437, 600/443, 600/410, 600/529, 705/1, 128/922, 128/923, 119/712, 119/51.01, 119/174, 119/840
• US Class Current: 600/443
• CPC Class Codes: A61B 6/508 for non-human patients
• CPC Class Codes: A61B 7/003 Detecting lung or respiration noise
• CPC Class Codes: A61B 8/08 Detecting organic movements or changes, e.g. tumours, cysts, swellings A61B8/02 - A61B8/06 take precedence
• CPC Class Codes: A61B 8/0858 involving measuring tissue layers, e.g. skin, interfaces
• CPC Class Codes: A61B 8/12 in body cavities or body tracts, e.g. by using catheters catheters per se A61M25/00
• CPC Class Codes: A61B 8/4281 characterised by sound-transmitting media or devices for coupling the transducer to the tissue
• CPC Class Codes: A61B 8/4422 related to hygiene or sterilisation
• CPC Class Codes: A61B 8/56 Details of data transmission or power supply
• CPC Class Codes: A61B 8/565 involving data transmission via a network
• CPC Class Codes: G01G 13/24 Weighing mechanism control arrangements for automatic feed or discharge
• CPC Class Codes: G01G 23/3735 using a digital network
• CPC Class Codes: G16H 30/40 for processing medical images, e.g. editing
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: Y10S 128/922 including image analysis

Abstract

A method and system for managing at least one animal is disclosed. The method can include imaging, such as ultrasound imaging, a lung of a live animal, such as a ruminant animal or bovine animal. The imaging can be performed to determine a degree of respiratory damage from past respiratory illness. After imaging, information regarding respiratory damage can be used to select at least one aspect of the treatment, care or disposition of the animal. For example, the information can be used to select the amount or type of feed provided to the animal at a feedlot. The information also can be used to select how long the animal should be housed at the feedlot prior to slaughter. If an animal is diagnosed with a respiratory illness, information about its degree of respiratory damage from past respiratory illness also can be used to select the appropriate medical treatment or lack of treatment.

Claims

1. A method for managing at least one animal, comprising:

imaging at least one lung of a live animal at a feedlot to determine a degree of respiratory damage in the animal;

comparing a first image of the animal'"'"'s lung to at least one other lung image to determine whether the first image indicates active or past disease;

assigning the animal a respiratory damage designation corresponding to the animal'"'"'s degree of respiratory damage;

recording the respiratory damage designation in an electronic database;

associating the respiratory damage designation with a unique identifier for the animal in the electronic database;

entering information relating to the animal into a computer system;

measuring the animal at a processing location and entering first measurement characteristic data into the computer system including at least weight;

determining in the computer system, from at least in part the first measurement characteristic data and the respiratory damage designation, a projected condition for the animal;

determining in the computer system for the animal an estimated time to reach the projected condition; and

selecting at least one aspect of treatment, care, and/or disposition of the animal based on the respiratory damage designation and whether the first image indicates active or past disease.

2. The method of claim 1 where imaging comprises ultrasound imaging.

3. The method of claim 1 where the respiratory damage is a result of past respiratory illness and the animal has substantially no symptoms of active respiratory illness at the time of imaging.

4. The method of claim 1 where comparing the first image of the animal'"'"'s lung to at least one other lung image comprises comparing grayscale intensity of the first image to grayscale intensity of the at least one other lung image.

5. The method of claim 1 where the at least one other lung image is from another animal.

6. The method of claim 1, further comprising comparing the first image to a plurality of lung images from a plurality of other animals.

7. The method of claim 1, further comprising imaging the animal'"'"'s lung at another time during the animal'"'"'s lifecycle to provide a second image.

8. The method of claim 7, further comprising comparing the second image to the first image.

9. The method of claim 1, further comprising allowing a user to review the animal'"'"'s respiratory damage designation from a remote location.

10. The method of claim 1, further comprising determining, from at least in part the first measurement characteristic data and the respiratory damage designation, a feed ration, a projected feed intake, a projected gain, a production value, production costs, or a combination thereof.

11. The method of claim 10 where determining the feed ration comprises selecting the amount and/or type of feed provided to the animal.

12. The method of claim 11 where the type of feed is a weight maintenance diet.

13. The method of claim 1, further comprising selecting the animal for a sort group, which is one of multiple sort groups of animals, wherein the animal is selected for the sort group based at least in part on the estimated time required to reach the projected condition and the respiratory damage designation.

14. The method of claim 1 where selecting at least one aspect of the care, treatment, or disposition of the animal comprises selecting how long the animal should remain at the feedlot prior to slaughter.

15. The method of claim 14 where the animal is sent to slaughter without spending any time at the feedlot.

16. The method of claim 1 where selecting at least one aspect of the care, treatment, or disposition of the animal comprises providing the respiratory damage designation to a buyer to aid the buyer in a decision regarding purchasing the animal.

17. The method of claim 1 where selecting at least one aspect of the care, treatment, or disposition of the animal comprises determining whether or not to treat the animal for a respiratory illness diagnosed after assigning the respiratory damage designation.

18. The method of claim 17 where determining whether to treat the animal comprises determining whether or not to administer a drug to the animal.

19. The method of claim 18, further comprising:

administering the drug to the animal; and

adjusting the estimated time required to reach the projected condition based upon a drug withdrawal period for the drug prior to selecting the animal for a sort group.

20. The method of claim 1, further comprising:

directing the animal to a feed pen and there feeding the animal with a sort group of animals for a feeding period;

measuring and recording at least one physical characteristic of the animal in a subsequent measuring step, including at least a second weight measurement, and matching second measurement characteristic data with the animal'"'"'s unique identifier and with the first measurement characteristic data;

determining in the computer system performance characteristics for the animal, based at least in part on the first and second measurement characteristic data; and

re-sorting the animal into one of multiple sort groups of animals based at least in part on the performance characteristics and the respiratory damage designation.

21. The method of claim 20 where the animal is re-sorted into a salvage group and removed from the feedlot.

22. The method of claim 1, further comprising:

entering into the computer system location data for the animal for a location or locations occupied by the animal;

enabling confidential information to be filtered from data in the computer system, where the confidential information includes at least a previous location identifier; and

generating a filtered record for the animal that includes the animal'"'"'s respiratory damage designation, a location identifier for a present location of the animal, and that the animal occupied a previous location without disclosing the previous location identifier.

23. The method of claim 22 further comprising enabling a buyer of an identified animal to review a filtered record for the animal that includes the respiratory damage designation, a location identifier for a seller location of the identified animal and that the identified animal occupied a previous location without disclosing the previous location identifier.

24. The method of claim 22 further comprising entering into the computer system data for animals comingled from different locations.

25. The method of claim 22 further comprising identifying in the computer system a subsequently identified animal that shared a location with the animal.

26. The method of claim 22 where the first image indicates the animal has active respiratory disease, further comprising:

requesting a trace report from a data trustee upon discovering the animal has active respiratory disease;

generating a trace report that filters confidential information; and

identifying locations of identified animals that have comingled with the animal.

27. The method of claim 26 further comprising implementing a treatment strategy for the identified animals that comingled with the animal with active respiratory disease.

28. The method of claim 27 where the treatment strategy comprises treating the respiratory disease, quarantining the identified animals, slaughtering the identified animals, or a combination thereof.

29. A method for managing at least one animal, comprising:

imaging at least one lung of a live animal at a feedlot to determine a degree of respiratory damage in the animal;

comparing a first image of the animal'"'"'s lung to at least one other lung image to determine whether or not the first image indicates active or past disease;

assigning the animal a respiratory damage designation corresponding to the animal'"'"'s degree of respiratory damage;

recording the respiratory damage designation in an electronic database;

associating the respiratory damage designation with a unique identifier for the animal in the electronic database;

selecting at least one aspect of treatment, care, and/or disposition of the animal based on the respiratory damage designation and whether the first image indicates active or past disease;

entering information relating to the animal, including location data for the animal for a location or locations occupied by the animal into a computer system, wherein the computer system includes the electronic database;

measuring the animal at a processing location and entering first measurement characteristic data into the computer system including at least weight;

determining in the computer system, from at least in part the first measurement data and the respiratory damage designation, a projected condition for the animal;

selecting the animal for a sort group, which is one of multiple sort groups of animals, wherein the animal is selected for the sort group based at least in part on an estimated time required to reach the projected condition;

subsequently diagnosing the animal with an active respiratory disease;

determining whether or not to treat the animal for the active respiratory disease, based at least in part on a degree of respiratory damage from past respiratory illness;

requesting a trace report form a data trustee; and

identifying locations of other identified animals that have comingled with the animal.

30. A method for managing at least one animal, comprising:

receiving a live animal at a feedlot;

entering information relating to the animal into a computer system, wherein the computer system comprises an electronic database;

associating a unique identifier with the animal enabling the computer system to identify the animal and distinguish it from other animals;

entering into the computer system location data for the animal for a location or locations occupied by the animal;

measuring the animal at a processing location and entering first measurement characteristic data into the computer system including at least weight;

imaging at least one lung of the animal to determine a degree of respiratory damage in the animal;

comparing an image of the animal'"'"'s lung to at least one other lung image to determine whether or not the image indicates active or past disease;

assigning the animal a respiratory damage designation corresponding to the animal'"'"'s degree of respiratory damage;

recording the respiratory damage designation in an electronic database;

associating the respiratory damage designation with the unique identifier for the animal;

determining in the computer system, from at least in part the first measurement characteristic data and the respiratory damage designation, a projected condition for the animal;

determining in the computer system for the animal an estimated time required to reach the projected condition;

selecting at least one aspect of treatment, care, and/or disposition of the animal based on the respiratory damage designation and whether the first image indicates active or past disease;

enabling confidential information to be filtered from data in the computer system, where the confidential information includes at least a previous location identifier; and

allowing a user to review a filtered record for the animal from a remote location, where the filtered record includes the animal'"'"'s respiratory damage designation, a location identifier for a present location of the animal, and that the animal occupied a previous location without disclosing the previous location identifier.