Breast ultrasound diagnostic performance and outcomes for mass lesions in Dharma Yadnya general hospital in 2018-2023


  • I. Made Bayu Surya Dana Department of Medicine, Dharma Yadnya General Hospital, Denpasar, Bali, Indonesia
  • I. Nyoman Teri Atmaja Department of Radiology, Dharma Yadnya General Hospital, Denpasar, Bali, Indonesia



Breast, Benign, Malignant, Ultrasoun, Lesion


Background: The latest report by the world health organization and international agency for research on cancer told that the incidence and mortality of breast cancer is the most among female cancer patients.

Methods: This is descriptive study which uses medical record of 50 samples patients in Dharma Yadnya general hospital. This study include patients  at least 25 years old who presented to the Dharma Yadnya general hospital between January 2019 to March 2023 which get breast ultrasound examination and pathology examination, benign or malignant mass.

Results: In ultrasound findings, there are 43 (86%) people with benign cancer, 7 (14%) people with malignant cancer, 43 (86%) people with hipoechoic density and solid lession, 7 (14%) people with isoechoic density and cystic lession, 43 (86%) people with regular margin, 7 (14%) people with irregular margin, 43 (86%) people without lymph nodes axillary, 7 (14%) people with lymph nodes axillary, and by Doppler there are 43 (86%) people without neovascularitation inside lession and 7 (14%) people with neovascularitation inside lession. There are statistically significant relationship (p<0.05) between diagnosis (benign and malignant) with age of patients, density, margin, existence of lymph nodes axillary, and neovascularitation inside the lession by doppler.

Conclusions: Breast sonography is the modality of choice for further investigation of palpable breast findings that are not clearly benign and mammographic screen-detected abnormalities.


Marini TJ, Benjamin C. A New Horizon in Expanding Imaging Access for Breast Cancer Detection. J Ultrasound Med. 2023;42:817-32.

Ouyang Y. A review of ultrasound detection methods for breast microcalcification. Mathematical Biosciences and Engineering. 2019;16(4):1761-85.

Gong H, Mengjia Q, Gaofeng P, Bin H. Ultrasound Image Texture Feature Learning-Based Breast Cancer Benign and Malignant Classification. Comput Math Methods Med. 2021;2021:6261032.

Wei M, Yongzhao D, Xiuming W, Qichen S, Jianqing Z, Lixin Z, Guorong L et al. A Benign and Malignant Breast Tumor Classification Method via Efficiently Combining Texture and Morphological Features on Ultrasound Images. Comput Math Methods Med. 2020;2020:5894010.

Vourtsis A. Breast Density Implications and Supplemental Screening. Eur Radiol. 2019;29(4):1762-77.

Moloney BM, O'Loughlin D, Elwahab SA, Kerin MJ. Breast Cancer Detection-A Synopsis Of Conventional Modalities And The Potential Role Of Microwave Imaging. Diagnostics. 2020;10:103.

Evan A, Trimboli RM, Athanasiou A, Balleyguier C, Baltzer PA, Bick U et al. Breast Ultrasound: Recommendations for Information to Women And Referring Physicians By The European Society Of Breast Imaging. Insights Imaging. 2018;9:449-61.

Jabeen K. Breast Cancer Classification from Ultrasound Images Using Probability-Based Optimal Deep Learning Feature Fusion. Sensors. 2022;22:807.

Sefiya A, Yunusa GH, Aliyu H, Hamidu AU. Breast Imaging Reporting and Data Systems Category 3 (Probably Benign) Breast Lesions Detected On Diagnostic Breast Ultrasound: The Prevalence, Outcome And Malignancy Detection Rate In Zaria, Nigeria. Nigeria. S Afr J Rad. 2018;22(2):1315.

Raza AM. Histopathological Audit Of Breast Tissue Specimen In A Medical College Hospital Of Bangladesh. Narayana Med J. 2017;6(1).

Haliloglu N. Breast Ultrasound during Lactation: Benign and. Malignant Lesions. Breast Care. 2019;14:30-34.

Hooley RJ, Scoutt LM, Philpotts LE. Breast Ultrasonography: State of the Art. Radiology. 2013;268(3):642-59.

Paepke S. Benign Breast Tumours-Diagnosis and Management. Breast Care. 2018;13:403-12.

Sun Q. Deep Learning Vs. Radiomics For Predicting Axillary Lymph Node Metastasis Of Breast Cancer Using Ultrasound Images: Don’t Forget The Peritumoral Region. Front Oncol. 2020;10:53.

Jahed DA. Automated Breast Ultrasound (ABUS): A Pictorial Essay Of Common Artifacts And Benign And Malignant Pathology. J Ultrason. 2022;22:222-35.

Schunemann HJ, Donata L. Breast Cancer Screening and Diagnosis: A Synopsis of the European Breast Guidelines. Ann Intern Med. 2020;172:46-56.

Yan F. Ultrasound Molecular Imaging For Differentiation Of Benign And Malignant Tumors In Patients. Quantitative Imaging in Med Surg. 2018;8(11):1078-83.






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