Display for computer-aided evaluation of medical images and for establishing clinical recommendation therefrom
First Claim
1. A method for providing to a user a clinical recommendation for assessing the pathology of a lesion in living tissue, said method including the steps of:
- providing a digitized image of the living tissue;
processing the digitized image and computing an overall evaluation of the likelihood of disease;
based on the overall evaluation of the likelihood of disease and correlated therewith, evaluating a clinical recommendation for further assessing the lesion; and
presenting to the user the clinical recommendation.
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Accused Products
Abstract
A method for displaying a computer-generated determination of the overall likelihood of malignancy in a mammogram lesion. The method requires providing a digitized image of a mammogram, displaying the digitized image, and selecting a region of interest directly on the displayed digitized image. The digitized image is then processed so that classifier data of the lesion in the user-selected region of interest are generated and displayed. The overall likelihood of malignancy is generated from the classifier data and also displayed. A clinical recommendation for further assessing the lesion is derived from the overall evaluation of malignancy and presented to the user. A system for displaying a determination of the overall likelihood of malignancy in a mammogram lesion and for presenting a clinical recommendation to the user is also provided. A method for integrating the overall likelihood of malignancy with a physician'"'"'s independent score for the lesion is discussed.
110 Citations
60 Claims
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1. A method for providing to a user a clinical recommendation for assessing the pathology of a lesion in living tissue, said method including the steps of:
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providing a digitized image of the living tissue;
processing the digitized image and computing an overall evaluation of the likelihood of disease;
based on the overall evaluation of the likelihood of disease and correlated therewith, evaluating a clinical recommendation for further assessing the lesion; and
presenting to the user the clinical recommendation. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24)
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25. A system for providing to a user a clinical recommendation for assessing a lesion in imaged living tissue, said system including:
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an image provider for providing a digital image of the living tissue;
a processor operative to receive the digital image from said image provider, said processor computing an overall evaluation of the likelihood of disease in the lesion in the digitized image and said processor also deriving a clinical recommendation correlated with the computed overall evaluation; and
providing means arranged in data communication with said processor for receiving therefrom the clinical recommendation and for presenting the recommendation to the user. - View Dependent Claims (26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41)
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42. A method for determining a clinical recommendation for assessing the pathology of a lesion in imaged living tissue, said method including the steps of:
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having the user generate a score for the lesion according to a predefined scoring system, the score indicating the expected abnormality of the lesion and suggesting a clinical recommendation for further assessing the pathology of the lesion;
providing a digitized image of the imaged living tissue to a processor;
processing the digitized image in a processor so that an overall evaluation of the likelihood of disease is computed for the lesion, a clinical recommendation for further assessing the pathology of the lesion being derived from the overall evaluation and correlated therewith;
conveying to the user the overall evaluation; and
comparing the user-determined score indicating expected abnormality with the processor-computed overall evaluation of the likelihood of disease and using the overall evaluation to modify, according to predetermined criteria, the clinical recommendation suggested by the user-determined score. - View Dependent Claims (43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60)
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Specification