BREAST ULTRASOUND COMPUTER-AIDED LESION ASSESSMENT BASED ON BI-RADS

 

 

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    INTRODUCTION

     

     

    OVERVIEW FOR

    PROFESSIONALS

     

     

    OVERVIEW FOR

    INDIVIDUALS

     

     

    WHAT IS

    NON-DIAGNOSTIC

    BREAST SCORE

     

     

    HOW IT WORKS

     

     

    HOW IT WAS

    VALIDATED

     

     

    ENDORSERS & COLLABORATORS

     

     

    WHAT TO EXPECT

    AS RESULT

     

     

    PRICING

     

     

    SERVICE

    STEP-BY-STEP

     

     

    CONTACT US

     

     

    HOW OUR BREAST SCORING SOFTWARE SYSTEM WORKS

     

     

    Work to improve the accuracy of diagnostic breast ultrasound has led to the development by American College of Radiologists of a well-defined system for breast lesion Assessment (also known as scoring the Level of Suspicion (LOS)) based on parameters describing the ultrasound appearance of breast lesions (known as BI-RADS®). BI-RADS® outlines six different possible mammogram results, ranging from a Category 0 to a Category 6. Overall Assessment or in other words LOS score is assigned based on the number of benign and malignant criteria found.

    Almen Laboratories has developed a computer-aided tool for breast ultrasound image analysis that operates with the physician in the loop. The system compares a breast mass in question to a database of patient images with verified known findings, displays those most similar to it and computes an estimate of Level of Suspicion (LOS) for cancer following the American College of Radiologists and FDA approved method.

    Here is how our Companion Suite protocol works:

    1. The system reads digital image(s) of the ultrasound test (full case cohort).

    2. The user manually or automatically with the help of our system processes, identifies and quantifies borders of the lesion.

    3. The radiologist is in the loop to confirm the identified lesion borders or he/she can use manual  methods to outline / edit the lesion overwriting computer borders detection.

    4. Radiologist completes BI-RADS® Report based on the lexicon. Radiologist records his/her overall BI-RADS® assessment (score).

    5. Then  optionally automated scoring is invoked by the radiologist. The numeric parameters extracted from the lesion in question are automatically (using statistical analysis) calculated.

    6. Based on now formed parameter string the system searches our digital database and retrieves similar images of previously quantified lesions with biopsy proven findings.

    7. Relative Similarity index between lesion in question and retrieved similar lesions is calculated.

    8. Now the system calculates computerized BI-RADS® Assessment (score) based on Relative Similarity index and pathology indicators of biopsy proven findings of the similar lesions.

    9. Then the resultant score may optionally be appended to the BI-RADS® report which is now exported or printed.

     

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