Mammography information system
A method and system for analyzing and retrieving breast tissue abnormality tracking data, providing a tool for a radiologist that includes a report summarizing the statistical frequency of diagnosed patients, both locally and nationally, with breast tissue region-of-interest classifications similar to the breast tissue images taken of the anatomy of an individual patient. In one embodiment, a computer aided diagnostic program can be tested or verified against the breast tissue images and the region-of-interest classifications that have been validated by definitive patient diagnosis. Another embodiment allows the efficient collection of all of the breast tissue abnormalities for a given medical facility in order to provide trending data or radiologist performance analysis. In yet another embodiment, the region-of-interest abnormalities in a single location in a patient's tissue are correlated across a variety of imaging modalities including X-rays, mammogram, CT, ultrasound, MRI, or other imaging technologies. In another embodiment, the region-of-interest feature descriptors based on a location of an abnormality can be correlated by features and images for a plurality of imaging modalities as well as the pathological outcome.
1. A configurable mammography diagnostic system, comprising:
a plural of electronic displays, at least one of the plurality of electronic displays configured to display a breast tissue image having at least one region of interest, the breast tissue image having an imaging modality of at least one of radiological, X-ray, computed tomography, ultrasound, magnetic resonance, or tomosynthesis, wherein a computer aided diagnostic (CAD) tool selected based on the imaging modality is configured to identify the at least one region of interest;
a first networked database including a plurality of existing categorizations of at least one known region of interest in at least one of a plurality of breast tissue images for a medical facility;
a second networked databases including a plurality existing categorizations of at least one known region of interest in at least one of a plurality of breast tissue images for a plurality of medical facilities;
a graphical user interface presented on at least one of the plurality of electronic displays and including:
an anatomical diagram on which the at least one region of interest can be marked,
a detailing button linked to a screen configured to present a plurality of possible characteristics according to which a manual current categorization of a region of interest in the breast tissue image can be defined, and
a profiler display button configured to present an adjacent display of statistical information from a comparison of the manual current categorization with the existing categorizations of the first networked database and the second networked database, wherein the statistical information comprises: a number of biopsies performed that were diagnosed as malignancies; a number of biopsies performed that were diagnosed as benign; and a total number of matching abnormalities;
a clipping tool with which a portion of the breast tissue image displayed on at least one of the plurality of electronic displays can be selected as a second image, the second image displayable on at least one of the plurality of electronic displays as a subset of the breast tissue image; and
a processing engine configured to link the second image to the breast tissue image, store the second image in an image database, and to associate the second mage with a corresponding region of interest marked on the anatomical diagram.
2. The System of claim 1 , wherein each of the plurality of breast tissue images is cataloged in the first or second networked database according to a characteristic of the breast tissue image.
3. The system of claim 2 , wherein the characteristic is the existing categorization.
4. The system of claim 1 , wherein the CAD tool is operable to detail the potential region of interest to provide a CAD current categorization.
5. The system of claim 4 , wherein the processing engine is operable to compare the CAD current categorization and the manual current categorization determined for a particular region of interest.
6. The system of claim 5 , wherein an algorithm of the CAD tool is updated based on the comparison of the CAD current categorization with the manual current categorization.
7. The system of claim 4 , wherein the processing engine is operable to compare the CAD current categorization with pathological data related to a particular region of interest.
8. A computer-implemented method for managing patient mammography data comprising:
obtaining, by a networked computer system, a plurality of breast tissue images, according to an imaging modality, wherein the imaging modality is at least one of an X-ray image, a CT image, an MRI image, at ultrasound image, and a pathology image;
selecting a computer aided diagnostic (CAD) module based on the imaging modality;
identifying, with the CAD module, a region of interest in at least one of the plurality of breast tissue images;
obtaining a categorization of a breast tissue abnormality in the region of interest according to an established lexicon;
comparing, by the computer system, the categorization with a first database of existing categorizations of a medical facility and a second database of existing categorizations of a plurality of medical facilities and presenting, by the computer system, as diagnostic indicator based on the comparing, wherein presenting comprises adjacently displaying a number of biopsies performed that were diagnosed as malignancies; a number of biopsies performed that were diagnosed as benign; and a total number of matching abnormalities for the existing categorizations of both the first database and the second database;
storing, by the computer system, a selected region of the at least one of the plurality of breast tissue images as a second image;
mapping, by the computer system, the second image to storage location of the at least one of the plurality of breast tissue images; and
associating, by the computer system, the selected region with the categorized region of interest.
9. The computer-implemented method of claim 8 , further comprising altering the categorization, and updating, by the computer system, the diagnostic indicator based on a Comparison of the altered categorization and the existing categorizations.
10. The computer-implemented method of claim 8 , wherein presenting, by the computer system, the diagnostic indicator comprises presenting a number of instances at the categorization within the existing categorizations, a number of diagnoses of malignant abnormalities for the categorization among the existing categorizations, and a number of diagnoses of benign abnormalities for the categorization among the existing categorizations.
11. The computer-implemented method of claim 8 , further comprising cataloging, by the computer system, images in the database according to at least one characteristic of the categorization or the existing categorizations.
12. The computer-implemented method of claim 8 , wherein obtaining a categorization comprises obtaining a human categorization.
13. The computer-implemented method of claim 12 , further comprising comparing, by the computer system, the human categorization with a computer aided diagnosis (CAD) categorization for the same region of interest.
14. The computer-implemented method of claim 8 , wherein the database of existing categorizations includes an identified region of interest in each of a plurality of breast tissue images, and wherein each region of interest is associated with one of either a malignant or al benign diagnosis.
15. The computer-implemented method of claim 14 , further comprising comparing, by the computer system, the associated malignant or benign diagnosis of a region of interest in the database with a computer aided diagnosis (CAD) of the one of the plurality of breast tissue images associated with the region of interest.
16. The computer-implemented method of claim 8 , wherein obtaining a categorization comprises obtaining a computer aided diagnosis (CAD) categorization.