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AWT IMAGE

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:: Volume 20, Issue 2 (4-2022) ::
Int J Radiat Res 2022, 20(2): 341-346 Back to browse issues page
Tumor size impacts the performance of ultrasound BI-RADS classification in breast cancer patients
Q. Guo , Z. Dong , L. Jiang , L. Zhang , Z. Li , D. Wang
Department of Ultrasound Medicine, Jinshan Branch of Shanghai Sixth People's Hospital Affiliated to Shanghai Jiaotong University, Shanghai, China , qiangguo3303@163.com
Abstract:   (1120 Views)
Background: This study aimed to evaluate the relationship of tumor size and ultrasound (US) Breast Imaging Reporting and Data System (BI-RADS), and further analyze if tumor size can impact the evaluation for US features in patients with breast cancer. Materials and Methods: In this retrospective study, preoperative US features and postoperative pathological results were collected from 498 patients with breast cancer. The association of BI-RADS classification with tumor size was analyzed, and the US features related to tumor size were determined. Results: A significant association was found between tumor size and BI-RADS category, and tumor with small size was classified into the low BI-RADS category (p < 0.05). Some US features including shape, growth orientation, microcalcification and color Doppler flow imaging (CDFI) were influenced by tumor size (p<0.001). Conclusion: Tumor size can influence the diagnosis performance for US BI-RADS category in patients with breast cancer.
Keywords: BI-RADS, breast cancer, CDFI, diagnosis, tumor size, ultrasonography.
Full-Text [PDF 1940 kb]   (461 Downloads)    
Type of Study: Original Research | Subject: Radiation Biology
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Guo Q, Dong Z, Jiang L, Zhang L, Li Z, Wang D. Tumor size impacts the performance of ultrasound BI-RADS classification in breast cancer patients. Int J Radiat Res 2022; 20 (2) :341-346
URL: http://ijrr.com/article-1-4263-en.html


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Volume 20, Issue 2 (4-2022) Back to browse issues page
International Journal of Radiation Research
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