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

 

 

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    INTRODUCTION

     

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    Currently, breast biopsy serves as the key diagnostic tool in the evaluation of breast masses for malignancy. Mammography is the superior screening procedure with very high sensitivity, but its lower specificity is well known. With emphasis on early detection of breast cancer, it appears the effort to avoid missing a malignant lesion has led to a low positive biopsy rate for cancer, between 10-31%. Unfortunately, breast biopsy is neither a benign nor an inexpensive process. Besides affecting patients physically and emotionally, the procedure frequently causes internal scarring, which obscures the results of future mammograms. With approximately 1,700,000 women undergoing breast biopsy per year, combined with a cost between $750-5000 per procedure, the cost to the U.S. healthcare system is significant. Ultrasound (US) is widely regarded as the adjunct procedure of choice, especially for distinguishing cystic from solid masses in which accuracy is 96-100%. However, earlier studies, in which ultrasound was evaluated largely as a primary screening tool, reported a wide variance in Positive Predictive Value (PPV) and an unsettling range of False Negative (FN) rate from 0.3-30%. These results led to many recommendations still extant that ultrasound be used only to determine cyst from solid and/or for needle guidance.

    The American College of Radiology has developed the BI-RADS® program for interpretation and reporting of breast ultrasound exams and is detailing a program to accredit the clinical practice of breast ultrasound. The American Institute of Ultrasound in Medicine launched in 1998 a program to accredit the breast ultrasound practices of radiologists and sonographers. These steps by professional organizations are designed to improve quality and uniformity. Acceptance and utilization of BI-RADS® for ultrasound is increasing but it has proven difficult to teach the method and many authors have felt uncomfortable with the number of benign and malignant masses that overlap in appearance. The ACRIN research protocol 6666 Breast Cancer: Ultrasound Screening is examining many aspects of breast ultrasound interpretation in a screening context that may eventually lead to more uniform practice. If a lesion is solid or indeterminate, biopsy is often recommended, although current definitive estimates of the FN rate and PPV for ultrasound are not available. Furthermore, even with combined information from mammography and ultrasound it is true that each radiologist may apply a different decision threshold to biopsy a suspicious mass. Operator variability and machine dependence is an extremely important issue in breast ultrasound (US), perhaps one of the most difficult medical imaging procedures to perform. Despite improving imaging technology with excellent near-field imaging and a long-standing and increasing number of positive reports that distinguish benign from malignant solid nodules with sonography, it is likely that a majority of radiologists in the U.S. recommend that US be used only to determine whether a lesion is cystic or solid and/or for needle guidance.

    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 lesion images with verified known findings, displays those most similar to it and then computes CAD assessment of the lesion in question following the American College of Radiologists and FDA approved BI-RADS Lexicon, Classification and method. The computed assessment is based on confirmed findings of the retrieved similar cases. Our approach has considerable appeal and may be more readily acceptable to radiologists because it does clearly show which factors have led to the recommendation or classification. This allows the radiologist the option to consider the findings with higher confidence and to apply her/his own threshold for a decision. In the future, development of the proposed system may advance the application into the diagnostic area, for detection of suspicious masses, for more accurate disease diagnosis following interpretive guidelines and a validated clinical database, even to other imaging problems.

    This site opens real time on-line access for individuals or practitioners and institutions to the latest and clinically validated breast ultrasound CAD tool.

     

     

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