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AJMB, Official Journal of Faculty of Medicine, Universiti Sultan Zainal Abidin, Malaysia. Kodaiyasari et al.

Variations of Bi-Rads 5 in Mammography by Age, Ethnicity, and Breast Density: A Retrospective Study in University Malaya Medical Centre

Kodaiyarasi Suppaya, *Fairuz Mohd Nasir, Azizah Ab Ghani Fac of Health Sciences, Uni Sultan Zainal Abidin, Kampus Gong Badak, Kuala Nerus, Terengganu, Malaysia.

*fairuznasir@unisza.edu.my

Abstract

Breast cancer is the most frequently diagnosed cancer among Malaysian women. BI-RADS 5 category in the mammogram report found breast lesion with a highly predictive of malignancy. Age, ethnicity and breast density are the primary risk factor in developing breast cancer. The objective of this study was to identify age, ethnicity, and breast density differences in BI-RADS 5 among mammographic patients at University Malaya Medical Centre (UMMC). This study was conducted retrospectively from 2015 to 2019 in UMMC. The subject criteria selected for this study are women aged 40 years and above which categorized in BI-RADS 5 from the mammogram examination. Patient’s data on age, ethnicity, and breast density were retrieved from the Radiology Information System (RIS) of UMMC. Among 110 cases, 20% were in the age group of 40-49, 28.2% in the age group of 50- 59, 35.5% in the age group of 60-69 while the 16.4% were between 70-79 years old. By ethnic distribution, the majority were Chinese with 46.4%, followed by Malays 42.7%, and 10.9% were Indian. 14.5%, 40.9%, 33.6%, 10.9% of patients were classified as having categories A-D breast density, respectively. The study indicated women were in the age group of 60-69 and Chinese ethnic group are most likely to develop breast cancer.

Although many studies have shown that risk factor for breast cancer is greater for denser breast tissue, this present study shows that BI-RADS B (scattered fibro glandular breast tissue) is most likely to have breast cancer. It is therefore important to have a regular follow-up of these patients and to raise the awareness of these patients.

Keywords BI-RADS 5, Mammography, Breast cancer

*Author for Correspondence

Received (10th Oct 2020), Accepted (10th Nov 2020) & Published (30th Nov 2020)

Cite as: Kodaiyarasi Suppaya, Fairuz, M.N., Azizah Ab Ghani. (2020). Variations of BI-RADS 5 in Mammography by Age, Ethnicity, and Breast Density: A Retrospective Study in University Malaya Medical Centre, Asian Journal of Medicine and Biomedicine, 4 (SI 1), 11–16.

DOI: https://doi.org/10.37231/ajmb.2020.4. SI 1.394

Asian Journal of Medicine and Biomedicine, Vol 4:SI 1.

Original Article Open Access

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AJMB, Official Journal of Faculty of Medicine, Universiti Sultan Zainal Abidin, Malaysia. Kodaiyasari et al.

Introduction

Breast cancer is the world’s leading cause of female death. Early detection of breast cancer has been seen to help in the diagnosis of the disease in women and greatly increase the expectancy of survival. Various techniques are used to detect breast cancer such as Clinical Breast Examination (CBE), Ultrasonography, Mammography, Magnetic Resonance Imaging (MRI), and biopsy.

Mammography is a low dose of breast x-ray imaging technique that reveal the internal breast structures.

The diagnostic and screening mammography are two types of mammogram. Screening in mammography is an x-ray breast examination of an asymptomatic individual while diagnostic mammography is widely used to diagnose potential breast cancer in an individual with signs and symptoms of illness. It has shown the most effective way of screening and diagnosing breast cancer 1. According to the Malaysian National Cancer Registry (MNCR) report published for the period, 2007 to 2011, one in thirty Malaysian women are likely to be diagnosed as breast cancer during their lifetimes 2. The most common female cancer in Malaysia is reported to be breast cancer, accounting for 32.1% of all women's cancers 3. Screening and treatment are an effective way to reduce morbidity and mortality due to breast cancer. Therefore, mammography is the most promising technique and generally referred to as the gold standard of breast imaging frequently used by radiologists to screen and diagnose breast cancer and other breast conditions.

The American College of Radiology (ACR) implemented Breast Imaging Reporting and Data (BI-RADS) as a guideline for standardized breast imaging terminology, a recommended reporting structure which includes final assessment categories accompanied by management recommendations, as well as a framework for data collection and auditing.

It is a numerical scale ranging from 0 to 6 that is used for ultrasound, mammography, and Magnetic Resonance Imaging (MRI). In accordance with the final regulations of the Mammographic Quality Standard Act (MQSA), all mammographic facilities are required to include a final assessment of findings in one of the six categories originally defined by BI- RADS 4. BI-RADS is used in mammogram reports to categorize the risk of breast lesion cancer. The BI- RADS 5 lesion is suspected to be malignant and shows classic cancer characteristics (such as speculated masses). In the case of category 5 final evaluation, the risk of malignancy (Positive Predictive Value

[PPV]) should be higher or equal to 95%, according to BI-RADS. It is a valuable indicator of the relative risk of malignancy 5. Research has shown that the categorization of BI-RADS 5 is a significant predictor of the high probability of malignancy in suspected mammographic lesions. The PPV was100% in category 5 lesions meanwhile PPV was 25% in category 4 lesions and increased steadily in subcategories 4A, 4B, and 4C (15%, 36.84%, 50%)

6. Thus, this study focuses on BI-RADS 5 because it is a useful predictor of cancer that highly suggestive and has a greater than 95% probability of malignancy.

Age, ethnicity and breast density are the primary risk factor of breast cancer among Malaysian women and also non-modifiable breast cancer risk factor that are not controllable or preventable. Some certain risk factors that contribute to breast cancer include breastfeeding duration, late menopause, oral contraceptive use, hormone replacement therapy (HRT), obesity, alcohol intake, radiation, and family history.

Malaysia is a multi-ethnic nation with three major ethnic groups where Malays are the largest proportion of the population followed by Chinese and Indians. The prevalence of breast cancer among Chinese people was highest, followed by Indian and Malay based on MNCR 2007-20112. According to age as a risk factor, most cases were reported at the age of 45-69 years and decreased after 70 years of age 2. According to the GE Reports Staff (2017), higher breast density has been reported to increase the risk of breast cancer 7. Many studies have shown several trends for the risk factor in developing breast cancer.

Breast cancer and its risk factors, age, ethnicity, and mammographic density, are routinely investigated and reported from developed countries and Asian nations, but information on related Malaysian data has been either scattered or not brought to the spotlight in Malaysians. Basically, BI-RADS 5 category indicates a highly suggestive mammogram of malignancy. BI-RADS 5 is predictive of breast cancer is used to bring special attention to raise awareness among women and it is important to analyse the severity of the disease through a retrospective analysis of the breast cancer risk factors in UMMC. Thus, the study aimed to determine the variations in BI-RADS 5 among UMMC mammographic patients by gender, ethnicity, and mammographic breast density.

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AJMB, Official Journal of Faculty of Medicine, Universiti Sultan Zainal Abidin, Malaysia. Kodaiyasari et al.

Methods

The study was conducted in UMMC. Ethical approval was obtained from UniSZA Research Ethics Committee (UHREC) and the UMMC Medical Research Ethics Committee. All the mammograms carried out at the UMMC breast imaging unit of the Department of Biomedical Imaging, from January 2015 to December 2019, were analysed and those classified as category 5 breast lesions by BI-RADS were chosen for the study. The inclusion criteria include patients aged 40 and over. Patients are of mixed ethnicity or nationality other than Malay, Chinese and Indian and aged above 80 and recurrence cases were excluded from the study. Craniocaudal (CC) and mediolateral oblique (MLO) views of bilateral mammograms were obtained using Hologic Selenia full-field digital mammography (FFDM) machine by specially qualified breast imaging radiographers.

All the mammograms were interpreted by mammographic diagnostic expert radiologists and the findings were categorised based on the BI- RADS system.

Epi-info version 7 software has been used to calculate the sample size for quantitative data based on the findings of previous study 8. Sample size calculations were calculated by taking into account a 5% margin error, 95% confidence intervals, the population size of 160 women with breast cancer, and 35.2% estimated of 40-49 women with breast cancer. It was calculated that the final sample size is 110. Convenience sampling was used to choose samples from the list of radiographic information system (RIS) of women who underwent mammographic examination that matched our inclusion and exclusion criteria. 110 patients have been selected whose cases satisfied the criteria.

The selected data were retrieved from the RIS of the mammography section. The data recorded were patient age, ethnicity and the category of breast density. The breast density information is from the mammography report done by a radiologist based on BI-RADS protocol which used four categories of breast tissues; almost entirely fat (BI-RADS A) moderately dense or scattered fibro glandular tissue (BI-RADS B), heterogeneously dense (BI-RADS C) and extremely dense (BI-RADS D).

The data were tabulated and analysed in Statistical Package for Social Science (SPSS) Version 22.0.

Descriptive analysis was performed to identify the proportion and percentages of BI-RADS 5 cases for each independent factor. The table and figure have been used to presented the descriptive data analysed.

Results

Distribution of age group in women categorised as BI-RADS 5

A total of 110 women categorised as BI-RADS 5 were reviewed. Among 110 subjects, the mean age is 58, the median age is 60, the minimum age is 40 and the maximum age is 77. All subject was grouped into four age categories, the maximum number of BI-RADS 5 cases was observed in women aged 60- 69 years old with 39 cases (35.5 %). Then, followed by 31 cases (28.2%) those aged 50-59, 22 (20%) who were 40-49 years old and 18 (14.5%) were 70- 79 years old as summarized in Table 1.

Table 1: Frequency and percentage distribution of age group among BI-RADS 5 category patients.

Age group Frequency (n) Percentage (%)

40 to 49 22 20.0

50 to 59 31 28.2

60 to 69 39 35.5

70 to 79 18 16.4

Distribution of ethnicity in women categorized as BI-RADS 5

The data distribution among the ethnicity of patients categorized as BI-RADS 5 was summarized in table 2. Among 110 subjects, Chinese ethnicity shows the highest occurrence, 46.4%, followed by 42.7%

Malay and least percentage 10.9% are Indians. This study found women categorised as BI-RADS 5 at a younger age were among Malay, with a median age of 59 years compared to Chinese (median: 62 years) and Indian (median: 63 years) as shown in Table 2.

Table 2: Distribution of BI-RADS 5 women by ethnicity

Statistics Ethnicity

Malay Chinese Indian

N 47 51 12

Percentage

(%) 42.7 46.4 10.9

Mean 57.3191 59.4706 63.0000 Median 59.0000 62.0000 67.0000

Std.

Deviation 9.95666 9.57153 10.43595

Minimum 40.00 43.00 44.00

Maximum 73.00 77.00 75.00

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AJMB, Official Journal of Faculty of Medicine, Universiti Sultan Zainal Abidin, Malaysia. Kodaiyasari et al.

Distribution of breast density in women categorised as BI-RADS 5

Among 110 selected subjects, 16 patients (14.5%) with breast density of BI-RADS A, 40.9% 45 patients (40.9%) with BI-RADS B, 37 patients (33.6%) with BI-RADS C and 12 patients (10.9%) in BI-RADS D. The distribution of breast density in all women categorized as BI-RADS 5 is presented in figure 1. From the histogram in figure 1, the highest number of women categorized as BI-RADS 5 had BI-RADS B (40.9%) meanwhile the lowest percentage of those women had BI-RADS D (10.9%). BI-RADS A and BI-RADS B were both classified as non-dense breast tissue whereas BI- RADS C and BI-RADS D were classified as dense breast tissue.

Table 3 shows higher percentages of dense breasts were in the age group of 40-49 (63.6%) and 50-59 while higher percentages of non-dense breasts were in the age group of 60-69 (64.1%) and 70-70 (72.2%). Although it does not focus of the study, it was noted that the majority of Chinese had denser breast (51%) followed by Malays (42.9%) and the least were Indians (6.1%) while a higher proportion of non-dense breast was in Chinese and Malay ethnicity with same percentages (42.6%) are shown in Table 4.

Figure 1: Histogram of ethnic group distribution of BI-RADS 5 category patients

Table 3: Distribution of subjects with non-dense and dense breast by age group

Age Group Categories of Breast Density Non-dense

Breast

Dense Breast 40 to 49 8 (36.4%) 14 (63.6%) 50 to 59 15 (48.4%) 16 (51.6%) 60 to 69 25 (64.1%) 14 (35.9%) 70 to 79 13 (72.2%) 5 (27.8%) Table 4: Distribution of subjects with non-dense and dense breast by ethnic group

C ategories of Breast

Density

Ethnicity Mala

y

Chin ese

India n Non-dense Breast

26 (42.6

%)

26 (42.6

%) 9 (14.8

%) Dense Breast

21 (42.9

%)

25 (51.0

%) 3 (6.1

%) Discussion

The BI-RADS system is used in mammogram reports to categorize the cancer risk of breast lesions.

Thus, this study focused on breast lesion that classified as BI-RADS 5 category because this lesion indicates a cancer risk greater than 95%. In this study, BI-RADS 5 cases predominated in the age group of 60 to 69 (35.5%) who were more susceptible to breast cancer. This is consistent with the results reported by the latest Malaysia National Cancer Registry 2012 – 2016 that the peaked age in female breast cancer incidence was 60 to 64 years then reduced after 65 years of age 9. The previous study showed an extended screening to a broader range of ages, and more efficient utilisation of new digital machines has increased in the proportion of reported breast cancer among women in the age of 50 years whereas in the age of 45 and younger, the increase is relatively small 10.

Based on the ethnic distribution, Chinese women are more susceptible to breast cancer (46.4%) compared to Malay (42.7%) and Indians (10.9%). This result was in line with an earlier study done in a hospital- based case-control study at UMMC 11. The short duration of breastfeeding and low rates of breastfeeding were reported to contribute to the highest rates of breast cancer (59.9 per 100, 000) among Chinese woman in Malaysia compared with

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AJMB, Official Journal of Faculty of Medicine, Universiti Sultan Zainal Abidin, Malaysia. Kodaiyasari et al.

Indian women (54.2 per 100, 000) and Malay women (34.9 per 100, 000). A similar picture was also seen in Sarawak where Chinese patients were at greater breast cancer risk (36.7/100 000) than the other two ethnic groups (10.6/100 000 for natives and 26.5/100 000 for Malays) because the Chinese had fewer children, a shorter duration of breastfeeding, and a significantly more family history of breast cancer compared to other ethnic groups12.

For breast density distribution, this study found that women with breast density BI-RADS B are more likely to have breast cancer (40.9%) compared to other breast density, BI-RADS A, C and D (14.5%, 33.6% and 10.9%). In Nigeria, a study reported that the scattered fibroglandular pattern was the most frequent (44%) and the homogenous dense pattern was the least frequent (0.4%) due to higher mean age in the study population which is a similar result to this study13. However, the previous finding also stated that women with denser breast had a greater risk of breast cancer because a large proportion of overweight and obese women (60%) according to their BMI can be seen in the study population 14. Conclusion

In conclusion, the majority of women categorized as BI-RADS 5 in this study were most probably to develop breast cancer are Chinese ethnicity, those aged categories between 60 and 69 years, and BI- RADS B in the category of breast density. Although many studies have shown that the risk of breast cancer is greater with denser tissue, this present study shows that BI-RADS B (scattered fibroglandular breast tissue) had the highest percentages among woman categorised as BI-RADS 5 most likely to have breast cancer. It is therefore important to have a regular follow-up for these high- risk patients who tend to have breast cancer and more effort is needed to increase awareness among these women.

References

1. Ponraj D, Jenifer M. A Survey on the Preprocessing Techniques of Mammogram for the Detection of Breast Cancer. J Emerg Trends Comput Inf Sci. 2011;2(12):656-664.

2. Summary of Malaysian National Cancer Registry Report 2007-2011.; 2017.

doi:https://www.health.gov.il/UnitsOffice/

HD/ICDC/ICR/Pages/default.aspx

3. Azizah Ab M, I.T NS, A NH, Z.A A, W M.

Summary of Malaysian National Cancer Registry Report 2007-2011. Ab Manan A, Ibrahim Tamin NS, Abdullah NH, Zainal Abidin A, Wahab M, eds. Natl Cancer Inst Minist Heal. 2015;1:1-73.

4. Ganschow P. Breast Health and Common Breast Problems : A Practical Approach.

American College of Physicians; 2004.

5. Tang RY, Wen G, Ma LH, Lin BY, Xu GW.

BI-RADS categorization and positive predictive value of mammographic features.

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DOI:10.1007/BF02983885

6. Ney MSCJ, Goroni AV, Fonseca GV de S.

Positive predictive value of nonpalpable breast lesions according to BI-RADS®

classification. Mastology. 2018;28(4):219- 224. DOI:10.29289/2594539420180000335 7. GE Reports Staff. An Education in Pink:

Breast Density & Cancer Awareness - GE Reports.; 2017.

8. Hashemian M, Akbarzade R, Asghar A, Asadi Z, Salehabadi S, Hoseini B. A Ten- Year Study on the Prevalence and Frequency of Risk Factors for Breast Cancer in Sabzevar, Iran. J Midwifery Reprod Heal.

2016;4(3):673-678.

9. Abdul Manan A, Basri H, Kaur Nirmal, Abdul Rahman SZ, Nureylia Amir P, Ali N, eds. Malaysian National Cancer Registry Report (2012 -2016). Ministry of Health Malaysia; 2019.

10. Carroll PS, Utshudiema JS, Rodrigues J.

The British Breast Cancer Epidemic:

Trends, Patterns, Risk Factors, and Forecasting. J Am Physicians Surg.

2017;22(1):8-15. doi:2017

11. Tan M-M, Ho W-K, Yoon S-Y, et al. A case-control study of breast cancer risk factors in 7,663 women in Malaysia.

Aravindan N, ed. PLoS One.

2018;13(9):e0203469.

doi:10.1371/journal.pone.0203469

12. Devi CRB, Tang TS, Corbex M. Incidence and risk factors for breast cancer subtypes in three distinct South-East Asian ethnic groups: Chinese, Malay and natives of Sarawak, Malaysia. Int J Cancer.

2012;131(12):2869-2877.

DOI:10.1002/ijc.27527

13. Akande H, Olafimihan B, Oyinloye O.

Mammographic parenchymal patterns in asymptomatic women. Saudi J Med Med Sci. 2017;5(3):232. DOI:10.4103/1658- 631X.213309

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AJMB, Official Journal of Faculty of Medicine, Universiti Sultan Zainal Abidin, Malaysia. Kodaiyasari et al.

14. Lo CH, Chai XY, Ting SSW, et al. Density of breast: An independent risk factor for developing breast cancer, a prospective study at two premium breast centers. Cancer

Med. 2020;9(9):3244-3251.

DOI:10.1002/cam4.2821

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