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| Diagnostic value of sonoelastography on BI-RADS category 3 and 4 breast lesions |
1. Department of Ultrasound, Jining First People’s Hospital, Jining Shandong 272011, China;
2. Clinical Department of Jining Medical School, Jining Shandong 272013, China |
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Abstract Objective: To explore the diagnostic value of sonoelastography on BI-RADS category 3 and 4 breast lesions. Methods: One hundred and twenty eight breast lesions in 106 women which were classified as BI-RADS category 3 and 4 were examined with ultrasound and sonoelastography. Sonoelastography was used to adjust the BI-RADS classification. The results were further compared with those of postoperative pathology. The receiver operating characteristic(ROC) curve was employed to evaluate the combined use on breast lesions. Results: Among the 128 breast lesions, 62 cases were malignant lesions, and 66 cases were benign lesions. The sensitivity, specificity, positive, accuracy and negative predictive values of BI-RADS 3 and 4 lesions were 87.0%, 79.7%, 82.8%, 75.8% and 89.4%, respectively. After adjustment with sonoelastography, the values were changed to 95.1%, 94.0%, 94.5%, 93.5% and 94.5%, respectively. After adjustment with the combination method, the area under ROC curve in BI-RADS classification was 0.945, which was significantly higher than that(0.826) before the adjustment(Z=2.63, P<0.05). Conclusions: Sonoelastography can improve the detection rate of malignant lesions in BI-RADS 3. It also reduces the need for biopsy for BI-RADS 4 lesions.
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Received: 28 November 2016
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[1]郭予武，吴志海，钟俊勇. 曲妥珠单抗联合紫杉醇治疗人表皮生长 因子受体2阳性晚期乳腺癌的疗效[J]. 实用医学杂志，2012，28（15）：2648-2649.
[2]Rahib L, Smith BD, Aizenberg R, et al. Projecting cancer incidence and deaths to 2030: the unexpected burden of thyroid, liver, and pancreas cancers in the United States[J]. Cancer Res, 2014, 74(11): 2913-2921.
[3]American College of Radiology. Breast imaging reporting and data system(BI-RADS)[M]. 4th ed. Reston: American College of Radiology, 2003: 194-197.
[4]American College of Radiology. Breast imaging reporting and data system(BI-RADS)[M]. 5th ed. Reston: American College of Radiology, 2013: 131-134.
[5]Itoh A, Ueno E, Tohno E, et al. Breast disease: clinical application of US elastography for diagnosis[J]. Radiology, 2006, 239(2): 341-350.
[6]郝少云，欧冰，钟文景，等. 弹性成像对新版BI-RADS-US评估乳腺肿物良恶性的价值[J]. 中国超声医学杂志，2015，31（4）：292-295.
[7]Hahn M, Roessner L, Krainick-Strobel U, et al. Sonographic criteria for the differentiation of benign and malignant breast lesions using real-time spatial compound imaging in combination with XRES adaptive image processing[J]. Ultraschall Med, 2012, 33(3): 270-274.
[8]Athanasiou A, Tardivon A, Tanter M, et al. Breast lesions: quantitative elastography with supersonic shear imaging—preliminary results[J]. Radiology, 2010, 256(1): 297-303.
[9]Ng WL, Rahmat K, Fadzli F, et al. Shearwave Elastography Increases Diagnostic Accuracy in Characterization of Breast Lesions[J]. Medicine(Baltimore), 2016, 95(12): e3146.
[10]李昶田，李俊来，李娟，等. 非探头加压式弹性应变率比值法对乳腺癌的诊断价值[J]. 中国医学影像学杂志，2012，20（12）：917-919.
[11]Cebi Olgun D, Korkmazer B, Kilic F, et al. Use of shear wave elastography to differentiate benign and malignant breast lesions[J]. Diagn Interv Radiol, 2014, 20(3): 239-244.
[12]杜燕然，陈曼，唐蕾，等. 乳腺小肿块BI-RADS及超声弹性成像的临床研究[J]. 中国超声医学杂志，2016，32（1）：22-25.
[13]周宁，陈方红，纪建松，等. 乳腺小肿块的超声BI-RADS联合弹性成像分析[J]. 中国医学影像学杂志，2015，23（12）：905-909.
[14]Thomas A, Fischer T, Frey H, et al. Real-time elastography—an advanced method of ultrasound: First results in 108 patients with breast lesions[J]. Ultrasound Obstet Gynecol, 2006, 28(3): 335-340.
[15]Wojcinski S, Boehme E, Farrokh A, et al. Ultrasound real-time elastography can predict malignancy in BI-RADS-US 3 lesions[J]. BMC Cancer, 2013, 13: 159. |
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