In recent years, breast cancer has emerged as one of the most critical challenges in modern medicine and remains the leading cause of cancer-related mortality among women, with invasive ductal carcinoma representing the predominant histological subtype responsible for death. Early detection and precise molecular subtyping are essential for the timely initiation of targeted therapies, which significantly improve prognosis and clinical outcomes. When ductal carcinoma is identified at the receptor expression stage, the therapeutic landscape becomes more favorable, often allowing for effective intervention with minimal risk of remission. In this context, we employed a diagnostic pathway beginning with ultrasonographic screening, followed by mammographic imaging and culminating in histopathological confirmation. This approach was applied to a patient presenting to our clinic in 2024 with severe systemic symptoms, including a 15 kg weight loss over one month and marked general fatigue. The study outlines a comprehensive diagnostic algorithm implemented at the Diagnostic Department of the National Oncology Center. It provides a detailed exploration of the synergistic roles of Doppler ultrasonography and mammography in the stepwise differential diagnosis of ductal carcinoma of mammary gland. The diagnostic accuracy was enhanced via high-precision Doppler system optimized for directional sound wave propagation. Special consideration was given to the constant velocity of acoustic wave transmission through biological tissues and the impact of the beam-to-tissue angle (conicity) on Doppler frequency shifts. Following surgical excision of the neoplasm, receptor-targeted adjuvant therapy was promptly initiated to mitigate the risk of recurrence. The article concludes with strategic recommendations for future research directions aimed at refining diagnostic methodologies and improving personalized treatment strategies in ductal breast carcinoma.
Published in | Applied and Computational Mathematics (Volume 14, Issue 3) |
DOI | 10.11648/j.acm.20251403.11 |
Page(s) | 101-106 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2025. Published by Science Publishing Group |
Operational Mechanisms, Mammography, Doppler USG, USG Tru-cut Biopsy, Ductal İnvasive Carcinoma
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APA Style
Aliyeva, H. N., Amirova, M. F. K., Abıyev, H. A. O., Musayev, K. N., Rahimov, J. A. (2025). Operational Mechanisms as a Reliable Tool for the Challenging Task of Differentiating Neoplasms. Applied and Computational Mathematics, 14(3), 101-106. https://doi.org/10.11648/j.acm.20251403.11
ACS Style
Aliyeva, H. N.; Amirova, M. F. K.; Abıyev, H. A. O.; Musayev, K. N.; Rahimov, J. A. Operational Mechanisms as a Reliable Tool for the Challenging Task of Differentiating Neoplasms. Appl. Comput. Math. 2025, 14(3), 101-106. doi: 10.11648/j.acm.20251403.11
@article{10.11648/j.acm.20251403.11, author = {Hejer Nusret Aliyeva and Mahira Firudin Kizi Amirova and Huseyn Azizulla Oglu Abıyev and Khaleddin Novruz Musayev and Javanshir Ali Rahimov}, title = {Operational Mechanisms as a Reliable Tool for the Challenging Task of Differentiating Neoplasms }, journal = {Applied and Computational Mathematics}, volume = {14}, number = {3}, pages = {101-106}, doi = {10.11648/j.acm.20251403.11}, url = {https://doi.org/10.11648/j.acm.20251403.11}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.acm.20251403.11}, abstract = {In recent years, breast cancer has emerged as one of the most critical challenges in modern medicine and remains the leading cause of cancer-related mortality among women, with invasive ductal carcinoma representing the predominant histological subtype responsible for death. Early detection and precise molecular subtyping are essential for the timely initiation of targeted therapies, which significantly improve prognosis and clinical outcomes. When ductal carcinoma is identified at the receptor expression stage, the therapeutic landscape becomes more favorable, often allowing for effective intervention with minimal risk of remission. In this context, we employed a diagnostic pathway beginning with ultrasonographic screening, followed by mammographic imaging and culminating in histopathological confirmation. This approach was applied to a patient presenting to our clinic in 2024 with severe systemic symptoms, including a 15 kg weight loss over one month and marked general fatigue. The study outlines a comprehensive diagnostic algorithm implemented at the Diagnostic Department of the National Oncology Center. It provides a detailed exploration of the synergistic roles of Doppler ultrasonography and mammography in the stepwise differential diagnosis of ductal carcinoma of mammary gland. The diagnostic accuracy was enhanced via high-precision Doppler system optimized for directional sound wave propagation. Special consideration was given to the constant velocity of acoustic wave transmission through biological tissues and the impact of the beam-to-tissue angle (conicity) on Doppler frequency shifts. Following surgical excision of the neoplasm, receptor-targeted adjuvant therapy was promptly initiated to mitigate the risk of recurrence. The article concludes with strategic recommendations for future research directions aimed at refining diagnostic methodologies and improving personalized treatment strategies in ductal breast carcinoma. }, year = {2025} }
TY - JOUR T1 - Operational Mechanisms as a Reliable Tool for the Challenging Task of Differentiating Neoplasms AU - Hejer Nusret Aliyeva AU - Mahira Firudin Kizi Amirova AU - Huseyn Azizulla Oglu Abıyev AU - Khaleddin Novruz Musayev AU - Javanshir Ali Rahimov Y1 - 2025/05/29 PY - 2025 N1 - https://doi.org/10.11648/j.acm.20251403.11 DO - 10.11648/j.acm.20251403.11 T2 - Applied and Computational Mathematics JF - Applied and Computational Mathematics JO - Applied and Computational Mathematics SP - 101 EP - 106 PB - Science Publishing Group SN - 2328-5613 UR - https://doi.org/10.11648/j.acm.20251403.11 AB - In recent years, breast cancer has emerged as one of the most critical challenges in modern medicine and remains the leading cause of cancer-related mortality among women, with invasive ductal carcinoma representing the predominant histological subtype responsible for death. Early detection and precise molecular subtyping are essential for the timely initiation of targeted therapies, which significantly improve prognosis and clinical outcomes. When ductal carcinoma is identified at the receptor expression stage, the therapeutic landscape becomes more favorable, often allowing for effective intervention with minimal risk of remission. In this context, we employed a diagnostic pathway beginning with ultrasonographic screening, followed by mammographic imaging and culminating in histopathological confirmation. This approach was applied to a patient presenting to our clinic in 2024 with severe systemic symptoms, including a 15 kg weight loss over one month and marked general fatigue. The study outlines a comprehensive diagnostic algorithm implemented at the Diagnostic Department of the National Oncology Center. It provides a detailed exploration of the synergistic roles of Doppler ultrasonography and mammography in the stepwise differential diagnosis of ductal carcinoma of mammary gland. The diagnostic accuracy was enhanced via high-precision Doppler system optimized for directional sound wave propagation. Special consideration was given to the constant velocity of acoustic wave transmission through biological tissues and the impact of the beam-to-tissue angle (conicity) on Doppler frequency shifts. Following surgical excision of the neoplasm, receptor-targeted adjuvant therapy was promptly initiated to mitigate the risk of recurrence. The article concludes with strategic recommendations for future research directions aimed at refining diagnostic methodologies and improving personalized treatment strategies in ductal breast carcinoma. VL - 14 IS - 3 ER -