Orapuh Journal | Journal of Oral & Public Health
Radiologic patterns of distant organ metastasis in advanced breast cancer patients: A report of 114 computed tomography cases in private and public medical practice in Kinshasa
Orap J, 7(2), 2026
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Keywords

Breast cancer
distant metastasis
computed tomography
radiological patterns
advanced breast cancer

How to Cite

Makwanza, L. K., Mukaya, J. T., Tshibasu, F. T., Yanda, S. T., Iyoto, D. M., Mashinda, D. K., Molua, A. A., Mbutiwi, T. L., Ndesazim, C. O., & Luyeye, G. M. (2026). Radiologic patterns of distant organ metastasis in advanced breast cancer patients: A report of 114 computed tomography cases in private and public medical practice in Kinshasa : Anglais. Orapuh Journal, 7(2), e1416. https://doi.org/10.4314/orapj.v7i2.16

Abstract

Introduction

Distant metastases from breast cancer represent a major determinant of prognosis and therapeutic decision-making. Computed tomography (CT) plays a central role in staging advanced disease, particularly in resource-limited settings where local epidemiological data remain scarce.

Purpose

To describe the radiological patterns of distant metastases detected on CT scans in patients with advanced breast cancer in Kinshasa.

Methods

A retrospective descriptive study was conducted over a five-year period (January 2020–January 2025) across four medical imaging centres in Kinshasa. Thoracoabdominopelvic CT scan reports from 114 patients diagnosed with stage IIIB and IV breast cancer were analysed. Metastases were identified according to predefined radiological criteria, and data were analysed using descriptive statistics.

Results

The mean age of patients was 52.9 years (range: 19–96 years). Thoracic metastases were observed in 98 patients (85.9%), abdominopelvic metastases in 67 patients (58.3%), and bone metastases in 40 patients (35.0%). The lungs were the most frequently affected site (75 cases), followed by the liver (46 cases). Bone metastases predominantly involved the spine (32 cases) and were mainly osteolytic in nature. Lymph node involvement was identified in 26 patients, primarily within the thoracic region. Multisite metastases were present in 74 patients (64.9%).

Conclusion

Advanced breast cancer in Kinshasa is characterised by a high prevalence of metastases, frequently multisystemic, with predominant involvement of the lungs and liver. CT imaging remains an essential tool for disease staging and treatment guidance in this setting.

https://doi.org/10.4314/orapj.v7i2.16
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References

Brookes, M. J., Rubinfeld, I., & Eisenberg, D. (2007). Patterns of metastasis in breast cancer. Cancer Treatment Reviews, 33(7), 683–689. https://doi.org/10.1016/j.ctrv.2007.07.004

Cardoso, F., Senkus, E., Costa, A., Papadopoulos, E., Aapro, M., André, F., Banerjee, S., Harbeck, N., Lopez-Lopez, R., & Winer, E. P. (2018). 4th ESO–ESMO international consensus guidelines for advanced breast cancer (ABC 4). Annals of Oncology, 29(8), 1634–1657. https://doi.org/10.1093/annonc/mdy192

Edge, S. B., & Compton, C. C. (2010). The American Joint Committee on Cancer: The 7th edition of the AJCC cancer staging manual and the future of TNM classification. Annals of Surgical Oncology, 17(6), 1471–1474. https://doi.org/10.1245/s10434-010-0985-4

Eo, W. K. (2008). Breast cancer metastasis to the stomach resembling early gastric cancer. Cancer Research and Treatment, 40(3), 207–210. https://doi.org/10.4143/crt.2008.40.3.207

Goldhirsch, A., Winer, E. P., Coates, A. S., Gelber, R. D., Piccart-Gebhart, M., Thürlimann, B., & Senn, H. J. (2013). Personalising the treatment of women with early breast cancer: Highlights of the St Gallen International Expert Consensus. Annals of Oncology, 24(9), 2206–2223. https://doi.org/10.1093/annonc/mdt303

Hamaoka, T., Madewell, J. E., Podoloff, D. A., Hortobagyi, G. N., & Ueno, N. T. (2004). Bone imaging in metastatic breast cancer. Journal of Clinical Oncology, 22(14), 2942–2953. https://doi.org/10.1200/JCO.2004.08.181

Hollings, N., & Shaw, P. (2002). Diagnostic imaging of lung cancer. European Respiratory Journal, 19(4), 722–742. https://doi.org/10.1183/09031936.02.00288102

Houssami, N., Ciatto, S., Macaskill, P., Lord, S. J., Warren, R. M., Dixon, J. M., & Irwig, L. (2012). Accuracy and outcomes of imaging in staging breast cancer. The Breast, 21(2), 121–128. https://doi.org/10.1016/j.breast.2011.10.006

Itani, M., Dubreuil, J., & Hoeffel, C. (2021). Role of computed tomography in the evaluation of advanced malignancies. European Radiology, 31(5), 3325–3334. https://doi.org/10.1007/s00330-020-07426-3

Marie, L., Braik, D., Abdel-Razeq, N., et al. (2022). Clinical characteristics, prognostic factors and treatment outcomes of patients with bone-only metastatic breast cancer. Cancer Management and Research, 14, 2519–2531. https://doi.org/10.2147/CMAR.S357363

Michaels, A. Y., Ohana, M., & Gangi, A. (2016). CT patterns of pulmonary metastases in breast cancer patients. American Journal of Roentgenology, 207(6), 1281–1288. https://doi.org/10.2214/AJR.15.16035

Moy, L., Newell, M. S., Mahoney, M. C., Bailey, L., Barke, L. D., D’Orsi, C., Harvey, J. A., Monsees, B., Sickles, E. A., & Morris, E. A. (2016). ACR appropriateness criteria® stage I breast cancer: Initial workup and surveillance for local recurrence and distant metastases. Journal of the American College of Radiology, 13(11), e43–e52. https://doi.org/10.1016/j.jacr.2016.09.021

Pesapane, F., Downey, K., Rotili, A., Cassano, E., & Koh, D. M. (2020). Imaging diagnosis of metastatic breast cancer. Insights into Imaging, 11(1), Article 79. https://doi.org/10.1186/s13244-020-00885-4

Sung, H., Ferlay, J., Siegel, R. L., Laversanne, M., Soerjomataram, I., Jemal, A., & Bray, F. (2021). Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA: A Cancer Journal for Clinicians, 71(3), 209–249. https://doi.org/10.3322/caac.21660

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