Assessment of Ultrasound Features and BI-RADS Categories of Malignant Breast Masses in Women ≤40

Masoume Gity ^1,2, Maryam Jafari ^3,4 * , Asiie Olfatbakhsh ⁴, kiara Rezaei Kalantari ⁵, Esmatsadat Hashemi ⁴, Fatemeh Sari ⁴

Cited by CrossRef: 3

1- Zhao G, Kong D, Xu X, Hu S, Li Z, Tian J. Deep learning-based classification of breast lesions using dynamic ultrasound video. European Journal of Radiology. 2023;165:110885 [Crossref]

2- Itanyi U, Chukwuegbo J, Okafor U, Richard S, Yawe K. Assessing the Accuracy of Ultrasonography and Biopsy Necessity in the Management of Breast Lumps in Women Less than 40 Years. J West Afr Coll Surg. 2024; [Crossref]

3- Yan M, Peng C, He D, Xu D, Yang C. A Nomogram for Enhancing the Diagnostic Effectiveness of Solid Breast BI-RADS 3-5 Masses to Determine Malignancy Based on Imaging Aspects of Conventional Ultrasonography and Contrast-Enhanced Ultrasound. Clinical Breast Cancer. 2023;23(7):693 [Crossref]

4- Taghipour zahir S, Aminpour S, Jafari-Nedooshan J, Rahmani K, SafiDahaj F. Comparative study of breast core needle biopsy (CNB) findings with ultrasound BI-RADS subtyping. Pol Przegl Chir. 2022;94(4):1 [Crossref]

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A Monthly Peer-Reviewed Medical Journal Published by the Academy of Medical Sciences of the I.R. Iran; Indexed in PubMed/MEDLINE, ISI Web of Science, EMBASE, SCOPUS, CINHAL, PASCAL, CSA, SID, ISSN: Print 1029-2977, Online 1735-3947.The impact factor of Archives of Iranian Medicine according to Journal Citation Reports® (JCR®) 2016 is 1.20.