Indikasi USG Payudara

Oleh :

dr.Eva Naomi Oretla

Indikasi ultrasonografi atau USG payudara adalah untuk skrining dan diagnosis lesi payudara, misalnya kanker payudara, kista payudara, dan fibroadenoma mammae. Selain itu, USG payudara juga dapat digunakan untuk memandu tindakan invasif seperti biopsi payudara, sehingga risiko trauma iatrogenik dapat dikurangi.

USG payudara berperan untuk skrining dan evaluasi jenis benjolan yang ditemukan pada pemeriksaan fisik payudara. USG dapat membedakan tumor solid atau kistik yang mungkin memberikan gambaran yang sama pada mammografi.[4,7,10,11]

Indikasi USG Payudara untuk Skrining

Referensi

1. Shen Y, Shamout FE, Oliver JR, et al. Artificial intelligence system reduces false-positive findings in the interpretation of breast ultrasound exams. Nature Communications. 2021;12:1-13. doi: https://doi.org/10.1038/s41467-021-26023-2
3. Ma JF, Chen LY, Wu SL, et al; Chinese Society of Breast Surgery. Clinical practice guidelines for ultrasound-guided breast lesions and lymph nodes biopsy: Chinese society of breast surgery (CSBrS) practice guidelines 2021. Chin Med J (Engl). 2021 May 19;134(12):1393-1395. doi: 10.1097/CM9.0000000000001549.
4. Nandan FD, Alladin BA. The Role of Ultrasound as a Diagnostic Tool for Breast Cancer in the Screening of Younger Women (Age 25-38) in Guyana. J Med Diagn Meth. 2018;7(3):1-6. doi: 10.4172/2168-9784.1000273
5. Yang L, Wang S, Zhang L, et al. Performance of ultrasonography screening for breast cancer: a systematic review and meta-analysis. BMC Cancer. 2020;20(499):1-15. doi: https://doi.org/10.1186/s12885-020-06992-1
6. Yuan WH, Hsu HC, et al. Supplemental breast cancer-screening ultrasonography in women with dense breasts: a systematic review and meta-analysis. Br J Cancer. 2020;123:673–688. https://doi.org/10.1038/s41416-020-0928-1
7. Gatta G, Cappabianca S, Forgia DL, et al. Second-Generation 3D Automated Breast Ultrasonography (Prone ABUS) for Dense Breast Cancer Screening Integrated to Mammography: Effectiveness, Performance and Detection Rates. J Pers Med. 2021;11(875):1-15. doi: https://doi.org/10.3390/jpm11090875
9. Pereira RO, Luz LA, Chaga DC, et al. Evaluation of the accuracy of mammography, ultrasound and magnetic resonance imaging in suspect breast lesions. Clinics. 2020;75:e1805. doi: 10.6061/clinics/2020/e1805
10. Aklilu S, Bain C, Bansil P, et al. Evaluation of diagnostic ultrasound use in a breast cancer detection strategy in Northern Peru. PLoS ONE. 2021;16(6):e0252902. doi: https://doi.org/10.1371/journal.pone.0252902
11. Liang CY, Chen TB, Lu NH, et al. Classification of Breast Ultrasound Tomography by Using Textural Analysis. Iran J Radiol. 2020;17(2):e91749. doi: 10.5812/iranjradiol.91749
12. Shoji NH, Suzuki AH, Ishida T, et al. Evaluation of Adjunctive Ultrasonography for Breast Cancer Detection Among Women Aged 40-49 Years With Varying Breast Density Undergoing Screening Mammography. JAMA Network Open. 2021;4(8):e2121505. doi:10.1001/jamanetworkopen.2021.21505
13. Iacob R, Iacob ER, Stoicescu ER, et al. Evaluating the Role of Breast Ultrasound in Early Detection of Breast Cancer in Low- and Middle-Income Countries: A Comprehensive Narrative Review. Bioengineering (Basel). 2024 Mar 7;11(3):262. doi: 10.3390/bioengineering11030262
14. Evans A, Trimboli RM, et al. Breast ultrasound: recommendations for information to women and referring physicians by the European Society of Breast Imaging. Insights into Imaging. 2018;9(4):449–461. doi: 10.1007/s13244-018-0636-z
15. Guo R, et al. Ultrasound Imaging Technologies for Breast Cancer Detection and Management : a Review. Ultrasound in Medicine & Biology. 2017;0:1-34. https://doi.org/10.1016/j.ultrasmedbio.2017.09.012
16. Sabih D. Breast Ultrasonography. Medscape. 2021. https://emedicine.medscape.com/article/1948269-overview#a1
17. Haliloglu N, et al. Breast Ultrasound during Lactation. Breast Care. 2019;14:30–34. doi: 10.1159/000491781
18. Chang S, Brooke M, et al. Rapid Implementation of Intraoperative Ultrasonography to Reduce Wire Localization in The Permanente Medical Group. Perm J. 2019;23:18-073. doi: https://doi.org/10.7812/TPP/18-073

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