Patents Assigned to Imaging Endpoints II, LLC
  • Patent number: 11361020
    Abstract: A method of retrieving an image file from a first database, where the image file includes a link to an associated report stored in a second database. The method includes: de-identifying the report; applying a search query to the second database; returning the report in response to the applied query; applying the link to the first database; and returning the image file in response to the applied link.
    Type: Grant
    Filed: August 23, 2017
    Date of Patent: June 14, 2022
    Assignee: IMAGING ENDPOINTS II LLC
    Inventors: Doug Dean Burkett, David Jose Marichal, Andre A Burkett
  • Patent number: 11120888
    Abstract: Methods and apparatus for predicting responsiveness to immune therapy in lung cancer. The method includes the steps of: identifying a first population of known responders and a second population of known non-responders; processing imaging data for the first and second populations using quantitative textural analysis (QTA); generating, for each member of both populations, quantitative metrics using the QTA; performing logistic regression on the quantitative metrics for both populations to yield a predictive signature expressed in the form of Y=Mx+B where x comprises mean pixel density; performing QTA on a lung cancer scan for a subsequent patient; comparing the predictive signature to one or more relevant metrics associated with the subsequent patient; and predicting responsiveness to immune therapy for the subsequent patient based on the comparison.
    Type: Grant
    Filed: August 15, 2016
    Date of Patent: September 14, 2021
    Assignee: IMAGING ENDPOINTS II LLC
    Inventor: Ronald L. Korn
  • Patent number: 10854338
    Abstract: Biomarker signatures for predicting breast cancer tumor aggressiveness. The signatures are derived from QTA-based parameters from a first population of low risk scores and a second population of high risk scores. The signatures may be expressed in the form log (RS)=Mx+B for linear modeling, or for logistic modeling the signatures may be expressed as either p=ex/[1+ex] where x=Ay+B, or in the form log it(p)=C(PR)+Ay+B, where y is a QTA based parameter.
    Type: Grant
    Filed: March 29, 2017
    Date of Patent: December 1, 2020
    Assignee: IMAGING ENDPOINTS II LLC
    Inventor: Ronald L. Korn
  • Patent number: 10332634
    Abstract: Methods and apparatus for using a biomarker signature to determine whether a breast tumor is malignant by comparing imaging data for the breast tumor to the signature, the signature derived using Quantitative Textural Analysis (QTA) and expressed in the form: Y=XCx+B; where: Y is a predictive indicator ranging from 0 to 1; B is a constant; Cx is a coefficient; and X is the mean positive pixel (MPP) value associated with the breast tumor under inspection.
    Type: Grant
    Filed: March 14, 2017
    Date of Patent: June 25, 2019
    Assignee: Imaging Endpoints II LLC
    Inventor: Ronald L. Korn
  • Publication number: 20180276248
    Abstract: A method of retrieving an image file from a first database, where the image file includes a link to an associated report stored in a second database. The method includes: de-identifying the report; applying a search query to the second database; returning the report in response to the applied query; applying the link to the first database; and returning the image file in response to the applied link.
    Type: Application
    Filed: August 23, 2017
    Publication date: September 27, 2018
    Applicant: Imaging Endpoints II, LLC
    Inventors: Doug Dean Burkett, David Jose Marichal, Andre A. Burkett