Diagnostic Accuracy of Doppler Ultrasound in the Detection of Malignant Breast Lesions and Differentiating Them from Benign Breast Masses Taking Histopathology as Gold Standard

Authors

  • Suman Baig Ali Fatima Hospital, Lahore, Punjab, Pakistan.
  • Abdus Sami Qazi Ali Fatima Hospital, Lahore, Punjab, Pakistan.
  • Muhammad Mehtab Baig Maryam Nawaz Health Clinic, Lahore, Punjab, Pakistan.
  • Muhammad Ahsan Baig Maryam Nawaz Health Clinic, Lahore, Punjab, Pakistan.
  • Ayesha Ijaz Sandhu Ali Fatima Hospital, Lahore, Punjab, Pakistan.

DOI:

https://doi.org/10.70749/ijbr.v3i5.2614

Keywords:

Breast Neoplasms, Diagnostic Imaging, Histopathology, Ultrasonography.

Abstract

Background: Breast cancer constitutes one of the main sources of morbidity and mortality in women across the globe. For increased rates of survival, it is imperative that diagnosis is carried out early and accurately. While it is true that a biopsy is considered imperative in determining malignancy, it is also true that non-invasive diagnostic techniques have played a crucial role in its diagnosis. Objective: To determine the diagnostic accuracy of Doppler ultrasound in detecting malignant breast lesions using histopathology as the gold standard. Study Design: Cross Sectional validation study. Duration and Place of Study: This study was conducted from September 2024 to February 2025 in the Department of Diagnostic Radiology, Ali Fatima Hospital, Lahore. Methodology: A total of 154 female patients aged 30–60 years presenting with palpable solid breast lumps were included. Doppler ultrasound was performed by an experienced radiologist to evaluate internal vascularity and vessel patterns. Lesions showing multiple central or penetrating vessels were classified as malignant. Histopathological examination of tru-cut biopsy specimens served as the reference standard. Results: The mean age of participants was 43.95 years. Doppler ultrasound demonstrated sensitivity of 84.20%, specificity of 62.50%, positive predictive value of 86.50%, negative predictive value of 58.10%, and overall diagnostic accuracy of 78.60% (p = 0.001). Conclusion: Doppler ultrasound is a reliable and cost-effective imaging tool for detecting malignant breast lesions. It shows good sensitivity for identifying tumor vascularity and can assist in differentiating malignant from benign breast masses.

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References

1. Kuhn, E., Gambini, D., Despini, L., Asnaghi, D., Runza, L., & Ferrero, S. (2023). Updates on Lymphovascular invasion in breast cancer. Biomedicines, 11(3), 968.

https://doi.org/10.3390/biomedicines11030968

2. Jenkins, S., Kachur, M. E., Rechache, K., Wells, J. M., & Lipkowitz, S. (2021). Rare breast cancer subtypes. Current Oncology Reports, 23(5).

https://doi.org/10.1007/s11912-021-01048-4

3. Torland, L. A., Lai, X., Kumar, S., Riis, M. H., Geisler, J., Lüders, T., Tekpli, X., Kristensen, V., Sahlberg, K., & Tahiri, A. (2023). Author response for "Benign breast tumors may arise on different immunological backgrounds".

https://doi.org/10.1002/1878-0261.13655/v2/response1

4. Al-Khalili, R., Alzeer, A., Nguyen, G., Crane, E. P., Song, J. H., Jeon, J. L., Nellamattathil, M., Makariou, E. V., & Mango, V. L. (2021). Palpable lumps after mastectomy: Radiologic-pathologic review of benign and malignant masses. RadioGraphics, 41(4), E967-E989.

https://doi.org/10.1148/rg.2021200161

5. Obeagu, E. I., & Obeagu, G. U. (2024). Breast cancer: A review of risk factors and diagnosis. Medicine, 103(3), e36905.

https://doi.org/10.1097/md.0000000000036905

6. Ibragimova, M. K., Tsyganov, M. M., Kravtsova, E. A., Tsydenova, I. A., & Litviakov, N. V. (2023). Organ-specificity of breast cancer metastasis. International Journal of Molecular Sciences, 24(21), 15625.

https://doi.org/10.3390/ijms242115625

7. Yousef, E. M., Alswilem, A. M., Alfaraj, Z. S., Alhamood, D. J., Ghashi, G. K., Alruwaily, H. S., Al Yahya, S. S., & Alsaeed, E. (2025). Incidence and prognostic significance of hormonal receptors and HER2 status conversion in recurrent breast cancer: A retrospective study in a single institute. Medicina, 61(4), 563.

https://doi.org/10.3390/medicina61040563

8. Health Commission of the People's Republic of China N. National guidelines for diagnosis and treatment of breast cancer 2022 in China (English version). Chin J Cancer Res. 2022;34(3):151-175.

https://doi.org/10.21147/j.issn.1000-9604.2022.03.02

9. Grimm, L. J., Avery, C. S., Hendrick, E., & Baker, J. A. (2022). Benefits and risks of mammography screening in women ages 40 to 49 Years. Journal of Primary Care & Community Health, 13.

https://doi.org/10.1177/21501327211058322

10. Al Jahed, D., Dekeyzer, S., Vanwambeke, K., Antic, M., Vanhoenacker, C., & Vanhoenacker, F. (2022). Automated breast ultrasound (ABUS): A pictorial essay of common artifacts and benign and malignant pathology. Journal of Ultrasonography, 22(91), 222-235.

https://doi.org/10.15557/jou.2022.0037

11. Taylor, D. B., Burrows, S., Saunders, C. M., Parizel, P. M., & Ives, A. (2023). Contrast-enhanced mammography (CEM) versus MRI for breast cancer staging: Detection of additional malignant lesions not seen on conventional imaging. European Radiology Experimental, 7(1).

https://doi.org/10.1186/s41747-022-00318-5

12. Khan, A. Q., Touseeq, M., Rehman, S., Tahir, M., Ashfaq, M., Jaffar, E., & Abbasi, S. F. (2025). Advances in breast cancer diagnosis: A comprehensive review of imaging, biosensors, and emerging wearable technologies. Frontiers in Oncology, 15.

https://doi.org/10.3389/fonc.2025.1587517

13. Park, S. Y., Park, J. Y., Park, J. W., Kim, W. H., Park, J. Y., & Kim, H. J. (2022). Unexpected hyperechoic lesions of the breast and their correlations with pathology: A pictorial essay. Ultrasonography, 41(3), 597-609.

https://doi.org/10.14366/usg.21243

14. Park, A. Y., Seo, B. K., & Han, M. (2021). Breast ultrasound Microvascular imaging and Radiogenomics. Korean Journal of Radiology, 22(5), 677.

https://doi.org/10.3348/kjr.2020.1166

15. Park, A. Y., & Seo, B. K. (2018). Up-to-date Doppler techniques for breast tumor vascularity: Superb microvascular imaging and contrast-enhanced ultrasound. Ultrasonography, 37(2), 98-106.

https://doi.org/10.14366/usg.17043

16. Arshad B, et al. Diagnostic accuracy of spectral Doppler ultrasound in predicting malignancy in solid breast lesions. KRL Hosp J Radiol. 2022;(accepted).

17. Parveen, I., Javed, K., Elahi, B., Nasrullah, F., Mahmood, R., & Aamir, M. O. (2020). Evaluation of breast lesions with Doppler ultrasound: Diagnostic accuracy of resistive index as a predictor of malignancy. The Professional Medical Journal, 27(04), 825-830.

https://doi.org/10.29309/tpmj/2020.27.04.3947

18. Nadeem F, et al. (2020). Diagnostic accuracy of power Doppler ultrasonography in evaluation of solid breast mass lesions for malignancy. Pak Armed Forces Med J. 2020;70(2).

https://www.pakjr.com/index.php/PJR/article/view/1259

19. Quratulain, S., Bibi, S., Gul, S., Khatoon, S., Mujeeb, Z., & Akram, S. (2024). The diagnostic accuracy of conventional breast ultrasound in diagnosing malignant breast lesions taking histopathology as gold standard. Pakistan Journal of Health Sciences, 36-41.

https://doi.org/10.54393/pjhs.v5i06.1657

20. Tabassum, M., Waseem, R., Niazi, M., Riaz, Z., Shakil, H., & Anam, W. (2024). Diagnostic accuracy of spectral Doppler ultrasound in diagnosis of malignant breast lesions taking histopathology as gold standard. Journal of Rawalpindi Medical College, 28(3).

https://doi.org/10.37939/jrmc.v28i3.2345

21. Khan, Z., Saleem, M., Bhutta, M., Ullah, N., Fatima, U., & Yousuf, M. (2023). Diagnostic Accuracy of Ultrasonography in the Diagnosis of Breast Carcinoma in Mammographically Dense Breasts: Histopathology as the Gold Standard. Journal of The Society of Obstetricians and Gynaecologists of Pakistan, 13(4), 398-402.

https://jsogp.net/index.php/jsogp/article/view/700

22. Prabakaran, L., Aiyappan, S. K., Ramesh, S., Ramesh, R., & Kumaran, S. (2024). Diagnostic Accuracy of Spectral Doppler Indices and Sonoelastography in Predicting Malignancy in Breast Imaging Reporting and Database System 3 Breast Lesions With Histopathology as the Reference Standard. Cureus, 16(11).

https://doi.org/10.7759/cureus.73481

23. Waqar, S., Ameer, S., Bajwa, M. A., Bajwa, S. M., Bajwa, G. R., & Tahir, S. (2021). SIGNIFICANCE OF DOPPLER RI AND SYSTOLIC PEAK OF BREAST CARCINOMA LESIONS SEEN ON MAMMOGRAPHY. DOAJ (DOAJ: Directory of Open Access Journals), 71(1), 319–322.

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Published

2025-05-30

How to Cite

Baig, S., Qazi, A. S., Baig, M. M., Baig, M. A., & Sandhu, A. I. (2025). Diagnostic Accuracy of Doppler Ultrasound in the Detection of Malignant Breast Lesions and Differentiating Them from Benign Breast Masses Taking Histopathology as Gold Standard. Indus Journal of Bioscience Research, 3(5), 1096-1100. https://doi.org/10.70749/ijbr.v3i5.2614