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Objective: RF ultrasound local tissue characterization parameter analysis ( Rules ) to analysis the breast lumps rules image features , explore RULES rated nature of the diagnostic value of breast lumps . Methods: Esaote Technos MPX color Doppler ultrasonic diagnostic apparatus and radio frequency ultrasound local tissue characterization parameter analysis system for image acquisition on 82 of the 81 cases of breast cancer lesions , from the color type , color , color distribution , color, degree of aggregation , the color area occupied five areas observed mass Rules image features . Application vicious expected value to each characteristic to define different score , the establishment of the RULES law scoring system , with a ROC curve evaluation RULES rated the the value of the diagnosis of breast disease . Results : ( 1 ) breast benign and malignant lesions RULES image color types in multicolor common, accounting for 57.8% , 94.6 % , the difference was statistically significant ( P lt ; 0.01 ) ; benign lesion green , ( ? ) two , dispersed , lt ; 10 % more common malignant tumor in red , many gathered , 10% -24% more common , both in the primary colors , color distribution , color, degree of aggregation , the color area occupied The differences were statistically significant ( P lt ; 0.01 ) . ② stars from 1 to 10 as a diagnostic standard , to calculate the value of different RULRS rated boundary points Analyzing the sensitivity and specificity of breast cancer , the higher the sensitivity, specificity ( 75.7% , 82.2% ) as a diagnostic standard of 5 , under the ROC curve area of ??0.876,95 % confidence interval ( 0.840,0.913 ) . ③ RULES score ( ? ) The 5 standard diagnosis of breast cancer , representing respectively RULES image multi-colored , red, many gathered , 10% -24% as malignant standards to improve the accuracy of diagnosis of breast cancer . Conclusion: ① breast benign and malignant lesions RULES images have certain characteristics , can provide some information for the identification of the nature of space-occupying lesions of the breast . The ② RULES rating can improve the accuracy of diagnosis of breast cancer .
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