Intelligent breast full volume ultrasound in differential diagnosis of granulomatous mastitis and invasive ductal carcinoma / 中国医学影像技术

ABSTRACT

Objective:To explore the value of intelligent breast full volume ultrasound system (IBUS) in differential diagnosis of granulomatous mastitis (GM) and invasive ductal carcinoma (IDC). Methods: Ultrasonographic data of 36 GM patients and 76 IDC patients were analyzed retrospectively. Multivariate Logistic regression model was established to screen out the main ultrasonic features. The value of differential diagnosis of GM and IDC, the diagnostic efficiency of Logistic regression model were evaluated, ROC curve was drawn. Results: Multivariate Logistic regression screened out 5 independent risk factors for differential diagnosis of GM and IDC, including pull and gather sign (odds ratio [OR]=44.33), calcification (OR=23.08), halo ring (OR=20.35), catheter dilatation (OR=19.01) and crater sign (OR=14.40). The accuracy of IBUS in diagnosis of GM and IDC was 91.67%(33/36) and 89.83%(53/59), respectively. Conclusion: IBUS has good diagnostic and clinical value in differential diagnosis of GM and IDC.