A Five-Year Review of the Outcomes of Breast Imaging Reporting and Data System 4 Lesions in Hospital Universiti Sains Malaysia

Author:

Marthay Karthikeyan,Yahya Maya Mazuwin,Tengku Din Tengku Ahmad Damitri Al-Astani,Wan Zain Wan Zainira,Haron Juhara,Wong Michael Pak-Kai,Ramely Rosenelifaizur,Wan Mokhter Wan Muhammad Mokhzani,Hashim Isa Merican Siti Rahmah,Mohd Hashim Mohd Nizam

Publisher

Cureus, Inc.

Subject

Aerospace Engineering

Reference16 articles.

1. A case-control study of breast cancer risk factors in 7,663 women in Malaysia;Tan MM;PLoS One,2018

2. Role of clinical and imaging risk factors in predicting breast cancer diagnosis among BI-RADS 4 cases;Hsu W;Clin Breast Cancer,2019

3. Applications and literature review of the BI-RADS classification;Obenauer S;Eur Radiol,2005

4. Radiomics analysis for pathological classification prediction in BI-RADS category 4 mammographic calcifications;Lei CQ;J Clin Oncol,2019

5. Positive predictive value and biopsy rate of breast cancer in BI-RADS category 4 and 5 breast lesions;Suttawas A;Reg 4-5 Med J,2018

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