[Computer Aided Diagnosis system of breast ultrasound based on support vector machine: a clinical analysis]

Objective: To investigate the value of based on support vector machine (SVM) breast ultrasonography technology of Computer-Assisted diagnosis (CAD) for differential diagnosis of benign and malignant breast masses. Methods: Total of 143 patients who had 151 breast masses were collected in Fujian Maternity and Children Health Hospital or The Fist Affiliated Hospital of Fujian Medical University from June 2014 to December 2015. Based on pathological results as the gold standard, the diagnostic efficiency of CAD and ultrasonography were compared. Results: The sensitivity, specificity, accuracy, positive predictive value and negative predictive value of ultrasonography were 80.1%, 71.0%, 76.8%, 80.0% and 72.1%, respectively. And the sensitivity, specificity, accuracy, positive predictive value and negative predictive value of CAD were 96.6%, 90.3%, 94.0%, 93.5% and 94.9%, respectively. The specificity, accuracy, positive predictive value and negative predictive of CAD technology were significantly higher than those of ultrasonography (P<0.05). The area under the receiver operator characteristic curve of ultrasonography and CAD were 0.759 and 0.935 respectively, with significant difference (P<0.05). Conclusions: CAD has a higher specificity and accuracy rate than ultrasonography in the diagnosis of breast masses. It could help to differentiate benign from malignant breast masses.