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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:   (278 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.
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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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