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

 

 

 

 

INTRODUCTION

 

 

OVERVIEW FOR

PROFESSIONALS

 

 

OVERVIEW FOR

INDIVIDUALS

 

 

WHAT IS

NON-DIAGNOSTIC

BREAST SCORE

 

 

HOW IT WORKS

 

 

HOW IT WAS

VALIDATED

 

 

WHAT TO EXPECT

AS RESULT

 

 

PRICING

 

 

SERVICE

STEP-BY-STEP

 

 

CONTACT US

 

 

 

HOW OUR BREAST ULTRASOUND COMPUTER-AIDED

SCORING SYSTEM WAS VALIDATED

 

 

We conducted rigorous validation of the technology in use. During 7 year period four studies and thousands of patients' cases were processed, scored, analyzed and compared to biopsy proven findings ("truth"). In the latest (fourth) study the 331 total IRB approved cases were retrieved chronologically from PACS for patients examined in 2002-2003 with masses with findings known through either biopsy or two-year follow up.  Age range was 40-71 and the database consisted of:  30% simple cysts, 18% intra-cystic masses, 30% solid benign, 22% carcinoma.

Summary of the Scoring Procedure is as follows:

  • Pre-process Image

  • Segment Suspicious Object (Mass) and confirm by radiologist

  • Measure Features

  • Compare to Template Database with Known Findings

  • Retrieve & Display Most Similar Masses with biopsy proven findings

  • Compute BIRADS score based on confirmed pathology of the retrieved most similar cases

  • Generate Standard BIRADS inspired report

 

Four sub-specialty breast imaging radiologists independently scored the US images and were asked to decide whether to biopsy the mass or not. We appreciate that the radiologist is faced with a decision-making task during interpretation of breast ultrasound that is influenced by many factors.  The results of accuracy assessment of our CAD in comparison with 4 radiologists are in the Table below.

 

AZ

Sensitivity

Specificity

PPV

NPV

Diagnostic Efficiency

CAD

0.96±0.02

87.8%

97.3%

90.3%

96.5%

95.2%

Rad1

0.86±0.03

93.7%

57.9%

48.0%

95.7%

68.4%

Rad2

0.85±0.03

63.5%

90.8%

74.1%

85.7%

82.8%

Rad3

0.87±0.03

92.1%

69.1%

55.2%

95.5%

75.8%

Rad4

0.86±0.03

57.1%

90.1%

70.6%

83.5%

80.5%

The results above represent a very high performance and strongly suggest that our CAD approach may be successful in the aim of aiding radiologists to reduce biopsies on benign masses and to achieve higher Specificity with minimal impact on Sensitivity.

 

Read more technical details on the conducted research and validation

 

READ BACKGROUND INFORMATION ON OUR CLINICAL GROUP

 

Read independent clinical evaluation by Thomas Jefferson University Hospital

 

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