Adile Balçık1, Ahmet Veysel Polat2, İlkay Koray Bayrak2, Ayfer Kamalı Polat3. 1. Clinic of Radiology, Afyonkarahisar State Hospital, Afyonkarahisar, Turkey. 2. Department of Radiology, Ondokuz Mayıs University Faculty of Medicine, Samsun, Turkey. 3. Department of General Surgery, Ondokuz Mayıs University Faculty of Medicine, Samsun, Turkey.
Abstract
OBJECTIVE: The study aimed to evaluate the influence of sonoelastographic strain ratio in distinguishing benign from malignant breast masses. MATERIALS AND METHODS: Patients who were referred for diagnostic biopsy of a breast mass were examined by ultrasound and sonoelastography prior to percutaneous biopsy. Sonoelastography was performed twice by the same observer in the same session. The strain ratios (SR) were calculated for both measurements as well as the mean strain ratio. Results were compared with histopathologic findings. For each strain ratio, a threshold value was determined using a ROC analysis for the differentiation of benign and malignant masses. RESULTS: After histopathological examination of 135 mass lesions in 132 female patients (mean age 48±12 years), 65 masses were diagnosed as benign and 70 as malignant. According to the Tsukuba classification with 5 scores; 44 of 65 benign masses had scores of either 1 or 2 while 56 of 70 malignant lesions had scores of either 4 or 5. No benign lesion was classified as score 5, and no malignant lesion as score 1. The mean cut-off in the two ROC measurements in distinguishing benign from malignant lesions was calculated as 4.52. When a threshold value of 4.52 was used for the mean strain ratio: the sensitivity, specificity, PPV, NPV, and accuracy rates were determined as 85.5%, 84.8%, 85.5%, 84.8% and 85.2%, respectively. CONCLUSION: The threshold value for strain ratio in the differentiation of benign and malignant masses was detected as 4.52, and a significant intra-observer difference was not observed in this study. The diagnostic value of sonoelastograghy in distinguishing benign from malignant breast masses was higher in comparison to conventional ultrasound.
OBJECTIVE: The study aimed to evaluate the influence of sonoelastographic strain ratio in distinguishing benign from malignant breast masses. MATERIALS AND METHODS:Patients who were referred for diagnostic biopsy of a breast mass were examined by ultrasound and sonoelastography prior to percutaneous biopsy. Sonoelastography was performed twice by the same observer in the same session. The strain ratios (SR) were calculated for both measurements as well as the mean strain ratio. Results were compared with histopathologic findings. For each strain ratio, a threshold value was determined using a ROC analysis for the differentiation of benign and malignant masses. RESULTS: After histopathological examination of 135 mass lesions in 132 female patients (mean age 48±12 years), 65 masses were diagnosed as benign and 70 as malignant. According to the Tsukuba classification with 5 scores; 44 of 65 benign masses had scores of either 1 or 2 while 56 of 70 malignant lesions had scores of either 4 or 5. No benign lesion was classified as score 5, and no malignant lesion as score 1. The mean cut-off in the two ROC measurements in distinguishing benign from malignant lesions was calculated as 4.52. When a threshold value of 4.52 was used for the mean strain ratio: the sensitivity, specificity, PPV, NPV, and accuracy rates were determined as 85.5%, 84.8%, 85.5%, 84.8% and 85.2%, respectively. CONCLUSION: The threshold value for strain ratio in the differentiation of benign and malignant masses was detected as 4.52, and a significant intra-observer difference was not observed in this study. The diagnostic value of sonoelastograghy in distinguishing benign from malignant breast masses was higher in comparison to conventional ultrasound.
Entities:
Keywords:
Breast neoplasm; sonoelastography; ultrasound
Authors: Yu-Mee Sohn; Min Jung Kim; Eun-Kyung Kim; Jin Young Kwak; Hee Jung Moon; Soo Jin Kim Journal: J Ultrasound Med Date: 2009-04 Impact factor: 2.153
Authors: C Balleyguier; L Ciolovan; S Ammari; S Canale; S Sethom; R Al Rouhbane; P Vielh; C Dromain Journal: Diagn Interv Imaging Date: 2013-04-22 Impact factor: 4.026
Authors: T Fischer; U Peisker; S Fiedor; T Slowinski; P Wedemeyer; F Diekmann; M Grigoryev; A Thomas Journal: Ultraschall Med Date: 2011-05-25 Impact factor: 6.548
Authors: Qi Wei; Yu-Jing Yan; Ge-Ge Wu; Xi-Rong Ye; Fan Jiang; Jie Liu; Gang Wang; Yi Wang; Yu Wang; Zhi-Ping Pan; Jin-Hua Hu; Juan Song; Christoph F Dietrich; Xin-Wu Cui Journal: Front Oncol Date: 2021-11-09 Impact factor: 6.244