Zuopeng Ding1, Weiyong Liu1, Nianan He1, Xiaopeng Ma2, Lili Fu3, Lei Ye1. 1. Department of Ultrasound Medicine, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China Hefei 230036, Anhui, China. 2. Department of Breast Surgery, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China Hefei 230036, Anhui, China. 3. Department of Ultrasound Medicine, Guoyang County People's Hospital Bozhou 233600, Anhui, China.
Abstract
OBJECTIVE: Breast cancer is one of the most common malignant tumors in women and shows a rising incidence at younger ages. Therefore, early diagnosis is of great significance for treatment and prognosis. This study aimed to compare the value of ultrasound elastography (UE) combined with contrast-enhanced ultrasound (CEUS) and micro-flow imaging (MFI) in differential diagnosis of benign and malignant lesions of the breast. METHODS: The sonographic characteristics of UE and CEUS as well as the vascular characteristics of MFI of 109 breast lesions categorized as Breast Imaging Reporting and Data System (BI-RADS) category 4, confirmed by surgical or biopsy pathology were retrospectively analyzed. Receiver operating characteristic (ROC) curves were used to compare the diagnostic efficacy of the three examination modalities, either alone or in combination. RESULTS: Of the 109 breast lesions, 78 lesions were pathologically diagnosed as malignant and 31 as benign. At diagnosis, the area under the ROC curve (AUC), sensitivity, specificity, and accuracy of UE were 0.8495, 65.38%, 83.87% and 83.34%, respectively. The AUC, sensitivity, specificity and accuracy of MFI were 86.29%, 70.51%, 87.10% and 85.56%, respectively. The AUC, sensitivity, specificity and accuracy of CEUS were 90.84%, 88.46%, 74.19% and 89.16%, respectively. The AUC, sensitivity, specificity and accuracy of the combined diagnosis of UE, MFI, and CEUS were 93.90%, 85.90%, 90.32%, and 92.07%, respectively. CONCLUSIONS: The combination of UE, CEUS and MFI has the highest specificity and accuracy in the differential diagnosis of benign and malignant breast lesions compared to any one used singly. AJTR
OBJECTIVE: Breast cancer is one of the most common malignant tumors in women and shows a rising incidence at younger ages. Therefore, early diagnosis is of great significance for treatment and prognosis. This study aimed to compare the value of ultrasound elastography (UE) combined with contrast-enhanced ultrasound (CEUS) and micro-flow imaging (MFI) in differential diagnosis of benign and malignant lesions of the breast. METHODS: The sonographic characteristics of UE and CEUS as well as the vascular characteristics of MFI of 109 breast lesions categorized as Breast Imaging Reporting and Data System (BI-RADS) category 4, confirmed by surgical or biopsy pathology were retrospectively analyzed. Receiver operating characteristic (ROC) curves were used to compare the diagnostic efficacy of the three examination modalities, either alone or in combination. RESULTS: Of the 109 breast lesions, 78 lesions were pathologically diagnosed as malignant and 31 as benign. At diagnosis, the area under the ROC curve (AUC), sensitivity, specificity, and accuracy of UE were 0.8495, 65.38%, 83.87% and 83.34%, respectively. The AUC, sensitivity, specificity and accuracy of MFI were 86.29%, 70.51%, 87.10% and 85.56%, respectively. The AUC, sensitivity, specificity and accuracy of CEUS were 90.84%, 88.46%, 74.19% and 89.16%, respectively. The AUC, sensitivity, specificity and accuracy of the combined diagnosis of UE, MFI, and CEUS were 93.90%, 85.90%, 90.32%, and 92.07%, respectively. CONCLUSIONS: The combination of UE, CEUS and MFI has the highest specificity and accuracy in the differential diagnosis of benign and malignant breast lesions compared to any one used singly. AJTR
Authors: Agnieszka Kolak; Marzena Kamińska; Katarzyna Sygit; Agnieszka Budny; Dariusz Surdyka; Bożena Kukiełka-Budny; Franciszek Burdan Journal: Ann Agric Environ Med Date: 2017-07-18 Impact factor: 1.447