Journal of Infectious Diseases & Therapy
Open Access

Breast cancer is currently the most common cancer globally, affecting mostly women compared to men. It forms in the cells of the breasts and arises either in the lining cells (epithelium) of the ducts or lobules in the glandular tissue of the breast [1,2]. According to WHO, 85% of breast cancer occurs in the lining cells of the ducts whereas 15% occurs in the lobules in the glandular tissue of the breast [3-5].

There are many known risk factors leading to breast cancer, but the causes are not fully understood. The strongest risk factors for breast cancer are being a female gender and to some extent getting older [3]. But studies have shown that the number of young people diagnosed with breast cancer is increasing. Also, black women are reported to be at higher risk of dying from breast cancer compared to women from other ethnic groups.

The early diagnosis of breast cancer is associated with adequate prognosis. This early diagnosis is made possible by the standard way of screening which involves the use of mammogram or ultrasound imaging to detect an anatomical derangement which will be confirmed by a pathologist.

Recent report by Globocan shows that 18.1 million new cases were recorded in 2018 and deaths of 9.6 million people on the same year. The report also tells us that 70% of that death toll occurred in low-and middle-income countries [6]. Also, only 26% of Low-and Middle-Income Countries (LMICs) reported having pathology services available in the public sector compared to 90% of high-income countries [7].

According to WHO, breast cancer is the most frequent cancer among women, impacting 2.1 million women each year and causes the greatest number of cancer-related deaths among women [8]. Breast cancer is the second most common cancer and the second leading cause of cancer mortality among women in Tanzania [9,10]. Approximately half of all women diagnosed with breast cancer in Tanzania die of the disease and approximately 80% of women diagnosed with breast cancer in Tanzania happen at advanced stages (III or IV), when treatment is less effective and outcomes are poor [9-11]. It is predicted that by 2030, new breast cancer cases will increase by 82% in the country [9,10]. It is worth noting that, Tanzania has a very few well trained radiologists and pathologists. This has resulted in a lack of systematic breast cancer screening programs. Efficient breast cancer screening systems are largely unavailable in many developing countries, leading to delayed diagnosis which results and by extension high mortality rate.

The burden of breast cancer in the LMICs is escalated by different factors including ignorance of the susceptible, limited technology, shortages of cancer healthcare related personnel and the associated costs of the current ways for cancer diagnosis [12-15]. The listed factors account for the big number of deaths caused by breast cancer because of the late of detection of the disease. To alleviate the problem, the factors contributing to the burden need to be handled simultaneously. Also, systematic breast cancer screening programs can largely lower the breast cancer morbidity and mortality.

This study aims at exploring the prevalence of breast cancer in Tanzania, the current situation of screening and diagnosis process of breast cancer, the role of breast imaging and proposes potential ways to address the challenges facing the process of screening and diagnosis of breast cancer in the country.

Breast imaging modalities, mammography and ultrasound are the primary imaging modalities for the detection of breast cancer. Mammography may detect cancer one and a half to four years before a cancer becomes clinically evident. We explored the role of the two methods as described in section “materials”. The performance of the two methods was also compared as shown in Table 1. The role of human readers was compared in terms of variations among themselves when reading ultrasound images in Table 2 and when reading mammograms in Table 3. The imaging data used in this analysis was labelled by radiologists with a reference to a ground truth of pathology results as described in Figure 1.

Table 1: The confirmation of the malignant, benign and normal cases was based on the pathology results.

Table 2: Summary of the results indicating the true and false labeling of the ultrasound images compared to the pathologist results.

Table 3: Summary of the results indicating the true and false labeling of the mammogram images compared to the pathologist results.

Figure 1: Methodology showing that 2 imaging modalities were used for data in which Radiologist one (Rad 1) and Radiologist two (Rad 2) labelled independently. A third radiologist was involved when the first 2 radiologist differed.

The data sets consist of images that were collected by using two different imaging technologies which are ultrasound and mammogram. The ultrasound images were obtained using a GE Voluson Pro 8 while the mammography was obtained using a Genoray DMX600. Initially, a total of 1014 patients data was extracted, which included duplicates. After removal of duplicates, 987 patients ranging from 22 to 90 years of ages were involved in the study. From the involved patients, a total of 3842 mammogram and 2021 ultrasound images were obtained. The study included all symptomatic women who came to the radiology department at Muhimbili Mloganzila National Hospital, for breast cancer diagnostic imaging. However, those whose retrieval of images was not successful were excluded.

The labeling process for the obtained dataset was conducted by three radiologists. Two radiologists labeled the images independently, a third radiologist was involved only when the labelling of the first two radiologists differed. The images were labeled into either normal, benign, or malignant. Different labels were used for indicating the status of the patients: Number “0” indicates normal, “1” for benign, “2” for malignant and “3” for inconclusive. Most of the inconclusive cases were due to the quality of images which affected the reading by radiologists. The images were stored in Picture Archiving and Communication Systems (PACS) server and they were extracted by using clear canvas Digital Imaging and Communications in Medicine (DICOM) viewer. For this case, clear canvas facilitates management of the medical images whereas DICOM viewer communicates with PACS servers and viewing DICOM studies [16]. The methodology can be described as in Figure 1 below.

Study design

This was a retrospective study applying quantitative designs. Several patients attending breast cancer clinic at Muhimbili Mloganzila National Hospital from October, 2018 to February, 2022 were identified and included in the study. This study explored the diagnosis process and qualities of the current diagnosis modalities available at the hospital, which represent majority part of the country, as it is in many developing countries. The study was approved by the Institutional Ethical Review Board of Muhimbili University of Health and Allied Sciences (MUHAS). All the methods used in this study were performed in accordance with the guidelines and regulations of MUHAS.

Study settings

This was a retrospective study that was conducted at Muhimbili Mloganzila National Hospital. Analysis of the data was conducted at the Emerging Technologies for Health Research and Development Laboratory (ETH), which is under the Muhimbili University of Health and Allied Sciences (MUHAS), unit of biomedical engineering. The lab is equipped with necessary computing facilities, including Graphics Processing Units (GPUs). This project was funded by the International Development Research Centre (IDRC) through Villgro Africa under the Artificial Intelligence for Development (AI4D) initiative, Google Ireland limited and Swedish International Development Cooperation Agency (SIDA) through MUHAS small grant research program.

Data analysis was conducted to assess the prevalence of breast cancer in Tanzania by looking into the burden of the disease geographically, the role of breast imaging in diagnosis of the diseases with reference to pathology results as a ground truth. The implementation was done by using python programming language.

Prevalence analysis

The analysis performed in this study was focused on the representative sample collected at Mloganzila hospital. The findings in this study may vary from the results obtained using data from other regions of the country. But it is worth noting that Mloganzila Hospital is one of the few government hospitals in the country with breast cancer diagnosis clinic using mammogram. Hence, these results may be a good indicator of the prevalence of breast cancer in the country. Figure 2 showing the distribution of the patients involved in the study throughout the country.

Figure 2: The distribution of the patients involved in the study throughout the country.

Table 1 shows that 15.602% of all the patients in this study were malignant based on who did both imaging (53 patients), mammogram only (100 patients) and ultrasound alone (1 patient). Studies shows that doing both imaging is more accurate in detecting breast cancer than doing one. In our case, we found that only 29% patients used both mammogram and ultrasound, with majority (66%) did only mammogram. Only 5% did ultrasound. Although mammogram is better at detecting abnormalities deeper within the breast tissue, which can tell why it was frequently used, ultrasound might be a potential alternative especially in resource limited countries like Tanzania. There is less than ten mammogram machine in government hospitals compared to ultrasounds which available up to district level hospitals. The high number of patients who did not conduct pathology process (66%), might be due to the high cost associated with the process.

Note that patients who had status indicating right breast: Benign and left breast: Malignant or the other way around was counted in the malignant cases in this analysis. The patients without histology results did not have their samples taken for pathological test. Most of these cases were normal on the image-based screening, hence not subjected to pathology examination. But it is also possible that some patients had different status as some of the image based suspected cases didn’t not proceed into pathology examination most likely due to the associated costs of the procedure or didn’t not go back to the hospital due to the travel distance from their initial locations. The small number of patients with normal status in the tables throughout this paper indicates image based suspected cases who were sent to the pathologists and confirmed to be normal.

The distribution of the malignant cases is normally distributed across the age groups. The group ranging between 40 to 49 years of age is mostly affected because the highest number of malignant cases fall in this group. Most of the recommendations for breast cancer screening suggest starting at the age of 50. Table 4 shows a significant number of women who are malignant under that age of screening recommendation. Figure 3 shows distribution based on the percentage of benign and malignant in their respective age groups. The graph shows that malignant cases are found almost in all age groups with different intensities.

Table 4: Distribution of malignant and benign cases based on their ages. The numbers in the third row for all participants also include the participants who did not have histology results.

Figure 3: The distribution of malignant and benign cases as well as the distribution of all participants with known ages.

Current situation of breast cancer screening and diagnosis program

Breast cancer screening involves the organized checking of women’s breasts for cancer before there are signs or symptoms of the disease [17]. According to WHO, the organized and effective screening program is the one in which the participation rate (number of invitees screened) of the target population is over 70% [18]. Even though breast cancer screening cannot prevent the occurrence of breast cancer it can help detecting it early if there are any symptoms of breast cancer and when it is easier to be treated. In Tanzania, different studies about breast- cancer have been performed but currently, there is no systematically organized screening program that performs breast cancer screening for the whole country except some studies [17] (the study carried at Ocean Road Cancer Institute is the National Cancer Center), the one carried in this study and other related studies. They highlight the status of breast cancer in certain localized places and sometimes are not fully focused on screening.

Based on the incidence of breast cancer in Tanzania the records indicate that the problem of breast cancer is steadily growing as breast- cancer is the second most common cancer and the second most common cause of cancer death among women in Tanzanian [19,20]. Tanzania is predicted to have an 82% increase in breast cancer from 2017 to 2030 [15]. This paper shows that mammogram was significantly used for diagnosis of breast cancer in Tanzania. There are very few mammogram machines in Tanzania compared to ultrasound. In addition, ultrasound has no radiation and more user friendly than Mammo, hence can be a perfect tool for mass screening.

Inter variability between the radiologists

Although breast imaging can play a major role in early detection of breast cancer for early intervention, accurate reading of the obtained images is of high significance. Many studies have reported a very high inter variability among radiologists in reading mammograms for detection of breast cancer [21,22]. Tables 2 and 3 present results comparing the labeling for breast cancer that were done by three radiologists for ultrasound and mammogram images respectively. The pathology results were used as the gold standard (ground truth). Only patients who had results from the pathologists indicating the tumor status had their results compared to the radiologist labels. Any patient missing any of the information was excluded from this analysis.

We compared the analysis results of the images in which all the three radiologists labeled correctly and the vice versa against the pathology results. Also, we checked when only two radiologists out of three labeled correctly and vice-versa against pathology results. We also present the situation where all the three radiologists differed from each other in their labels compared to the pathology results.

Looking at Tables 2 and 3 the three status (normal, benign, malignant) each case shows true as well as false labeling by the radiologists. In each row both true and false labels have a common denominator. The common denominator under each case corresponds to the radiologist’s agreement is the number of pathology results in that case. In each case the numerators are the predictions done by radiologist.

The burden of breast cancer among women in lower-income countries is contributed by late/missed diagnosis of the disease. The results show that 15% among those who were tested were pathologically confirmed to be malignant. This is a significant percentage of malignancies, and it cannot be overlooked. It is possible that more cases were malignant because 66% patients did not have their samples taken for confirmation by the pathologists.

The WHO recommends mammography screening based on age group and resource setting [23,24]. It recommends organized and population-based mammography screening programs for women aged 50 to 69 years. Despite the recommended age for breast cancer screening, in this study about 50% of malignant cases occurred among women below the WHO recommended age. The results show that 33.7% of the malignant cases are from women with age 40 to 49.

The high prevalence of breast cancer in low-income countries is most likely contributed to different factors. It is possible that poor technological advancement causes many people to be diagnosed late or missed the opportunity. This can be supported by the absence of screening programs in many developing countries. For example, in Tanzania, the screening program is conducted only once a year, in October during breast cancer awareness month with the support of the Medical Women Association of Tanzania (MEWATA).

The analysis has shown that patients involved in the study mostly come Dar es Salaam region and the nearby regions. This situation can be justified by the fact that Mloganzila Hospital was the only government hospital in the country with a breast cancer diagnosis clinic using mammograms. That is the possible reason that drives patients to travel and access the service. It is also possible that the high concentration of patients in Dar es Salaam might be influenced by economic status. The distribution map has indicated that few patients came from regions from the peripheral. These patients traveled long distances to access mammogram diagnosis services.

There are only a few, who can afford it but there are many out there who need similar services. This suggests that the diagnosis needs to be performed in a different part of the country. In addition, although there are already a few numbers of radiologists, further training to use affordable and available imaging methods like ultrasound might reduce the current burden of breast cancer in the country.

Also, there is a limited number of radiologists. It is possible the regions which do not have any data in this study do not have radiologists to interpret the images. This fact does not indicate that these regions do not have breast cancer cases. The results suggest that there is a need for screening programs available in many regions that start at an early age. According to the data analysis presented in this paper, women below 50 years of age are also at high risk of getting breast cancer. The results suggest that there is a need of recommending a new lower age threshold for beginning breast cancer screening to reduce the burden of breast cancer that is likely to happen in old age.

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