Profiling of Breast Cancer Prevalence and Its Diagnosis Using Varied Imaging Techniques in Tanzania

Authors

  • Deogratias Mzurikwao Muhimbili University of Health and Allied Sciences
  • Lulu Sakafu Muhimbili Mloganzila National Hospital, Muhimbili university of health and Allied Sciences
  • Simeon Mayala Muhimbili university of health and Allied Sciences
  • Twaha Kabika Muhimbili University of Health & Allied Science
  • Rebecca Chaula Muhimbili University of Health & Allied sciences
  • Zacharia Mzurikwao Mbeya University of Science and Technology
  • Charles Okanda Nyatega Mbeya University of Science and Technology
  • Oluwarotimi Samuel Google Research
  • Abdoulaye Diack Google research
  • Mary Kamuzora Emerging Technologies for Health research and development laboratory
  • Violet Kiango Emerging Technologies for Health research and development laboratory
  • Asa Kalonga Emerging Technologies for Health research and development laboratory
  • Barikiel Israel Panga Aspire Analytics Company Limited Institute of Rural Development Planning
  • Asmin Issa

DOI:

https://doi.org/10.69660/jcsda.02012501

Keywords:

Breast cancer, medical imaging, breast imaging, data analysis, Artificial Intelligence, radiology

Abstract

Breast cancer is not only the most commonly occurring cancer among women, but also the most frequent cause of cancer-related deaths in women in developing countries. The mortality rate is marginally higher in developing countries than in developed countries with about 60% of the deaths occurring in developing countries. In Tanzania for exam ple, breast cancer is the second leading cancer in terms of incidence and mortality among women after cervical cancer. Approximately half of all women diagnosed with breast can cer in Tanzania die of the disease. This is due to the limited number of medical facilities for cancer screening and diagnosis, the limited number of oncologists and pathologists, and the diagnosis costs in the country. Due to the mentioned factors, it is approximated that, 80% of breast cancer cases in Tanzania are diagnosed at advanced stages (III or IV), when treatment is less effective and outcomes are poor. By 2030, new breast can cer cases are approximated to increase by 82% in Tanzania. The diagnosis/screening of breast cancer starts with breast imaging with ultrasound and mammograms. Suspected cases are then subjected to pathology for confirmatory tests. Although breast imaging plays a major role in both breast cancer screening and diagnosis, the service is largely not available in many developing countries. Our study found the absence of routine breast cancer screening in Tanzania, resulting in late-stage detection of many cases. This is mainly due to a lack of enough well-trained radiologists to read the images and the costs of the process. This study is aimed at exploring the role, importance and challenges of breast  imaging in the screening and diagnosis of breast cancer in Tanzania, a developing country. It is worth noting that, breast imaging is an important step in screening for breast cancer. Our results found that, there is a significant number of malignancies under the recommended age of breast cancer screening of fifty years of age. Our study also found a very high Inter variability among radiologists. This study also discovered in our sample size that 66% of patients did not have their samples taken for confirmation by the pathologists. This might be due to the costs of the process or loss of follow-ups as many patients came far from the diagnosis Centre. Due to the higher intervariability among radiologists, this suggests the necessity of at least two radiologists reading the same case before the conclusion of the diagnosis. Also, due to the significant number of malignancies under the recommended age of 50 years, this study recommends the age to be reconsidered based on different settings. Due to the challenges observed in breast imaging, this study recommends the use of computer-aided diagnosis (CAD) with Artificial Intelligence to assist the limited number of radiologists available. 

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Published

2025-06-30

How to Cite

Mzurikwao, D., Sakafu, L., Mayala, S., Kabika, T., Chaula, R., Mzurikwao, Z., Nyatega, C. O., Samuel, O., Diack, A., Kamuzora, M., Kiango, V. ., Kalonga, A., Panga, B. I., & Issa, A. (2025). Profiling of Breast Cancer Prevalence and Its Diagnosis Using Varied Imaging Techniques in Tanzania. Journal of Computational Science and Data Analytics, 2(01), 1 - 15. https://doi.org/10.69660/jcsda.02012501