Usefulness of combined BI-RADS analysis and Nakagami statistics of ultrasound echoes in the diagnosis of breast lesions

被引:25
作者
Dobruch-Sobczak, K. [1 ,2 ]
Piotrzkowska-Wroblewska, H. [2 ]
Roszkowska-Purska, K. [3 ]
Nowicki, A. [2 ]
Jakubowski, W. [4 ]
机构
[1] Canc Ctr & Inst Oncol M Sklodowska Curie Mem, Dept Radiol, Warsaw, Poland
[2] PAS, Inst Fundamental Technol Res, Warsaw, Poland
[3] Canc Ctr & Inst Oncol M Sklodowska Curie Mem, Dept Pathol, Warsaw, Poland
[4] Med Univ Warsaw, Dept Diagnost Imaging, Warsaw, Poland
关键词
MODE IMAGES; CLASSIFICATION; MASSES; FEASIBILITY; US; SONOGRAPHY; MANAGEMENT; BLOOD; FLOW;
D O I
10.1016/j.crad.2016.11.009
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
AIM: To develop a method combining the statistics of the ultrasound backscatter and the Breast Imaging-Reporting and Data System (BI-RADS) classification to enhance the differentiation of breast tumours. MATERIALS AND METHODS: The Nakagami shape parameter m was used to characterise the scatter properties of breast tumours. Raw data from the radiofrequency (RF) echo-signal and B-mode images from 107 (32 malignant and 75 benign) lesions and their surrounding tissue were recorded. Three different characteristic values of the shape parameters of m (maximum [mLmax], minimum [mLmin] and average [mLavg]) and differences between m parameters (Delta mmax, Delta mmin, Delta mavg) of the lesions and their surrounding tissues were assessed. A lesion with a BI-RADS score of 3 was considered benign, while a lesion with a score of 4 was considered malignant (a cut-off of BI-RADS 3/4 was set for all patients). RESULTS: The area under the receiver operating characteristic (ROC) curve (AUC) was equal to 0.966 for BI-RADS, with 100% sensitivity and 54.67% specificity. All malignant lesions were diagnosed correctly, whereas 34 benign lesions were biopsied unnecessarily. In assessing the Nakagami statistics, the sum of the sensitivity and specificity was the best for mLavg (62.5% and 93.33%, respectively). Only four of 20 lesions were found over the cut-off value in BI-RADS of 4a. When comparing the differences in m parameters, Delta mavg had the highest sensitivity of 90% (only three of 32 lesions were false negative). These three lesions were classified as BI-RADS category 4c. The combined use of B-mode and mLmin parameter improve the AUC up to 0.978 (p = 0.088), compared to BI-RADS alone. CONCLUSION: The combination of the parametric imaging and the BI-RADS assessment does not significantly improve the differentiation of breast lesions, but it has the potential to better identify the group of patients with mainly benign lesions that have a low level of suspicion for malignancy with a BI-RADS score of 4a. (C) 2016 The Royal College of Radiologists. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:339.e7 / 339.e15
页数:9
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