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Ghana Medical Journal logoLink to Ghana Medical Journal
. 2017 Mar;51(1):6–12. doi: 10.4314/gmj.v51i1.2

Breast cancer screening in a resource poor country: Ultrasound versus mammography

Olubukola AT Omidiji 1, Princess C Campbell 2, Nicholas K Irurhe 1, Omolola M Atalabi 3, Oluyemisi O Toyobo 4
PMCID: PMC5611948  PMID: 28959066

Summary

Background

Breast cancer is the commonest female cancer in Nigeria. Despite its increased awareness, affordability of available screening tools is a bane. Mammography, the goal standard for screening is costly and not widely available in terms of infrastructure, technical/personnel capabilities. Ultrasound is accessible and affordable.

Objectives

This study compared the use of ultrasound and mammography as breast cancer screening tools in women in South West Nigeria by characterizing and comparing the prevalent breast parenchyma, breast cancer features and the independent sensitivity of ultrasound and mammography.

Methods

This cross sectional comparative descriptive study used both ultrasound and mammography as screening tools in 300 consenting women aged 30 to 60 years who attended a free breast cancer screening campaign in a tertiary hospital in Lagos. Categorical variables were presented in tables and Chi squares for associations P-value set at ± 0.1.

Results

Mean age was 41.01 + 6.5years with majority in the 30 – 39 year age group 139 (55%). Fatty (BIRADS A and B) parenchyma predominated {ultrasound 237 (79%); mammography 233 (77.7%)} in all age groups. 7 (2.3%) were confirmed malignant by histology with (6) in the 30–39 age group and (1) in the 40–49 age group. Ultrasound detected all the confirmed cases 7(100%), whereas mammography detected 6 (85%). Sensitivity was higher using ultrasound (100%) than mammography (85.7%).

Conclusion

Ultrasound can be utilized as a first line of screening especially in remote/rural areas in developing world.

Funding

Part funding from Run for Cure governmental organization

Keywords: Breast Cancer, Women, Ultrasound, Mammography, Sensitivity

Introduction

Breast cancer is the leading female malignancy globally, and the most common female cancer in Nigeria.1 It accounts for three-fourths of total deaths from the disease worldwide.2 Late presentation of patients at advanced stages when little or no benefit can be derived from any form of therapy has been the hallmark of breast cancer in Nigerian women, with survival rates less than 10%.2

Survival rates are much higher in the developed countries than in the developing countries with lower incidence rates, due to lack of early detection programmes with late presentation of the disease, inadequate diagnostic and treatment facilities in the developing countries.3 Early detection improves the outcomes or survival rates of breast cancer, hence screening of asymptomatic, apparently healthy women is very essential, especially when there are risk factors such as the history of breast cancer in immediate relatives.4

A number of screening tests are being employed; these include breast examinations, mammography, molecular imaging and genetic screening; ultrasound and magnetic resonance imaging, however the three main screening tests are breast examinations, mammography and ultrasound.4 The awareness of breast cancer and the importance of screening have increased over the years5 however the bane of unaffordability still persists. Poor participation in screening programs has persisted despite the increase in awareness.6

Mammography, though presently the method of choice for screening and diagnosis is costly in Nigeria and not widely available in terms of infrastructure and technical/personnel capability.5 It also has limited sensitivity in dense breasts.7 Ultrasound is widely accessible and affordable and is presently utilized as an adjunct to mammography. It does not utilize ionising radiation, which in itself induces more cancers.7

This study compared the use of ultrasound and mammography as breast cancer screening tools in women who attended free breast cancer screening exercise in a centre in Lagos, by characterizing and comparing the prevalent breast parenchyma, features of breast cancer and the independent sensitivity of ultrasound and mammography.

Methods

This cross sectional comparative study recruited 300 consenting women based on calculated minimum sample size using Buderer's formula8 for sensitivity and specificity,

Sample size based on sensitivity8

n=Z1-2α/2x SN x (1SN)L2 x Prevalence

Where n = required sample size; SN = anticipated sensitivity-80% (0.08); SP = anticipated specificity −78% (0.78); α = size of the critical region (1 − α is the confidence level); Z21- α/2 = standard normal deviate corresponding to the specified size of the critical region - 1.68 and L= absolute precision desired on either side (half-width of the confidence interval) of sensitivity or specificity - 0.10.

A systematic random sampling technique was used to select participants between 30 and 60 years of age, who attended the free breast cancer screening campaign in a tertiary hospital in Lagos State. Clients with symptoms (mastalgia, nipple discharge or lump), previous breast lump excisions or biopsies, history of trauma, who had never breastfed, and pregnant and lactating mothers were excluded from the study.

Two (2) experienced radiographers at the centre were trained on the objectives, technique and rationale of the study for two days for one hour per day. Four (4) experienced radiologists were also trained; two (2) on how to document findings of ultrasound and two (2) on documentation of findings of mammography. This was to reduce observer/examiner bias and variability.

Study Instruments

The questionnaire self-designed, pre-tested and validated by two renowned experienced radiologists, consisted of 3 sections on socio-demography, reproductive health, and documented findings of parenchymal types and breast cancer features.

Imaging Technique

Mammography: With strict adherence to standard protocols, the standard medio-lateral oblique and craniocaudal views bilaterally were used to conduct this procedure by the trained radiographers. Findings were reviewed and documented, and additional views taken when required by the trained radiologists.

Ultrasonography: Adhering to the standard protocols ultrasonography was done by the trained radiologists, both breasts and axillae were scanned. The images were reviewed real time on screen; findings were documented. All suspicious (BIRADS 3 and above) lesions for both modalities were sent for histology with findings also documented.

Data Analysis

The data was analysed using the SPSS for Windows version 18.0 software program. For ease of comparison, the breast parenchymal density was divided into two broad groups (fatty (BIRADS A and B) and fibroglandular (BIRADS C and D). The breast density (BIRADS A – D) and total number of detected participants' lesions were assessed for the total patient population, as well as for subpopulations grouped by age (30 – 39years, 40 – 49 years, >50 years) and hormonal status (premenopausal or postmenopausal).

The lesion detection rates were reported for each modality, both for lesions detected solely with that modality and for lesions detected with a combination of those modalities. Performance characteristics of each screening modality, including sensitivity, specificity, positive and negative predictive values were calculated. Categorical variables were presented in tables. For significant difference, chi square and a p value of 0.10 were used to reduce the dense sample of 768 to 300 in line with available resource.

Ethical approval

Ethical approval was obtained from the Health Research and Ethics Committee of the Lagos University Teaching Hospital, and all other research protocols were strictly adhered to. Assigned ethical clearance number ADM/DCST/HREC/1486.

Results

Socio-demographic and Reproductive Health

This predominantly married 261(87.0%), tertiary educated 285(95.0%), professional 227(75.7%), Yoruba 195(65.0%) respondents, had an age range of 30 to 60 years and a mean age of 41.01± 6.5years. Over half (55.0%) were between 30 – 39 years.

Up to (112, 37.0%, 75, and 25%) had 2 and 3 children respectively, 165 (55%) were premenopausal, 8 out of 10 participants did not use any form of contraceptive 251 (83.7%). History of alcohol ingestion was by 33 (11%), and smoking 5 (1.7%). Only 17(6.7%) had a family history of breast cancer in a close relative. Participants were predominantly married, tertiary educated, professional with over 55% between 30 –39years (see Table 1).

Table 1.

Socio-demographic distribution

Frequency(N=300) Percentage
Age (Years)
30–39 139 46.3
40–49 127 42.3
>50 34 11.4
Mean age 41.01±6.5
Marital Status
Single 26 8.7
Married 261 87.0
Others* 13 4.3
Level of education
Completed secondary 15 5.0
Tertiary 285 95.0
Others** 23 7.7
Occupation
Professional 227 75.7
Skilled 45 15.0
Unskilled 28 9.3

Others*: =divorced, separated;

Others**: =Efik, Ijaw, Urobo;

Others***: =Traditional

Prevalent Breast Parenchyma

Similar findings of breast parenchyma were noted using ultrasound {fatty 237(79%), fibroglandular 63(21%)} and mammography {fatty (BIRADS A and B) 233 (77.7%), fibroglandular (BIRADS C and D) 67 (22.3%)} with fatty tissue predominant in all age groups.

Mammography however detected less fatty than fibroglandular tissues in all the age groups. The distribution of parenchyma in the age groups was not statistically significant. Fatty parenchyma (BIRADS A and B). Fibro glandular parenchyma (BIRADS C and D). Fatty parenchyma predominated across all age groups.

Features of breast cancer

Majority, 181(60.3%) and 174(58.0%) of the participants had a normal study (BIRADS I) using both ultrasound and mammography respectively. Probable benign lesions (BIRADS III) were seen in 7(2.3%) and 8(2.7%) participants using ultrasound and mammography respectively.

A total of 25(8.3%) participants had suspicious lesions, out of which 20(6.6%) were seen by ultrasound and 15(5.0%) were seen using mammography.

The difference in distribution of the lesions in ultrasound and mammography were statistically significant (p 0.00) (see Table 2)

Table 2.

BIRADS category and features of suspicious lesions seen using ultrasound and mammography

Ultrasound Mammography p-value
BIRADS CATEGORY N (%) N (%)
0 - 11 (8.0) X2 =
223.735
I 181 (60.3) 174 (58.0) df =12
II 99 (33.0) 86 (28.7) P= 0.000
III 7 (2.3) 8 (2.7)
IV 13 (4.3) 8 (2.7)
Features of suspicious
lesions
Mass 20 (100) 11(73.3) 0.185
Spiculations 10 (50) 8 (53.3) 21.212
Thick Incomplete
Halo
3 (15) 6 (40.0) Fisher
Microlobulation 8 (40) 6 (40.0) 25.000
Architectural Distortion 10 (50) 10 (66.7) 9.642
Microcalcification 2 (10) 4 (26.7) Fisher
Axillary lymphadenopathy 4 (20) 5 (33.3) 19.792
*

0 = Inconclusive, I = normal/negative, II = benign, III = probably benign (2%suspicion of malignancy), IV - 34% suspicious of malignancy. Only a few had category III and IV lesions; more were detected using ultrasound. Commonest features seen were mass, spiculations and architectural distortion.

Twenty five (8.3%) participants were suspected of having breast cancer using ultrasound and mammography. The features of breast cancer seen on ultrasound and mammography were mass, spiculation, halo, microlobulation, architectural distortion, calcification and axillary lymphadenopathy. Ultrasound detected a mass in all its detected cases 20(100%) of cases, more than mammography which detected in 11(73.3%) of 15 detected cases.

Mammography however detected the other features (spiculations 8(53.3%), architectural distortion 10(66.7%), microcalcifications 4(26.7%), axillary lymphadenopathy 5(33.3%) in a higher proportion than Ultrasonography (spiculations 10(50.0%), architectural distortion 10(50.0), microcalcifications 2 (10.0%), axillary lymphadenopathy 4(20.0%); the difference was statistically significant (p 0.001) in all except for halo 6(40.0%). Microlobulations (ultrasound 8(40%), mammography 6(40%) were seen in equal proportions using the two modalities, this was statistically significant p 0.001, Table 2.

Sensitivity of Mammography and Ultrasound

Of the 25 suspected cases of breast cancer, 7 were confirmed malignant histologically. 6 were suspicious on both ultrasound and mammography (BIRADS IV), and 1 on ultrasound alone. The one missed on mammography was seen in an extremely dense (fibroglandular/BIRADS D) breast.

The diagnostic yield for this study was 23 per 1000 women screened (7/300). Most of the cases with different categories on ultrasound and mammography were benign. Of the mitotic lesions seen, 6 were ductal carcinoma in situ.

Seven (7) participants had malignant features and commonest was ductal carcinoma in situ (DCIS). Ultrasound had higher sensitivity than mammography.

Ultrasound had high sensitivity in detecting breast cancer (100%) but very low specificity (22%). Mammography had reduced sensitivity (85.7%) compared with ultrasound but was more specific (55.4%). Positive predictive value was also low in ultrasound (33.3%) compared with mammography (42.8%).

Negative predictive value (100%) was however higher in ultrasound compared with mammography (90.9%).

Ultrasound also had a higher accuracy of detecting breast cancer (84%) compared with mammography (56%). Table 3

Table 3.

Histologic findings in suspicious lesions; sensitivity and specificity of the modalities

Number of
participants
Ultrasound Mammography Histology Diagnosis
2 IV III Benign Fibroadenoma
2 IV IV Benign Fibroadenoma
4 II III Benign Fibroadenoma
3 IV 0 Benign Fibroadenoma
5 III II Benign Fibroadenoma
2 III I Benign Fibroadenoma
6 IV IV Malignant DCIS*
1 IV 0 Malignant IDA*
Sensitivity 100.0 85.7
Specificity 22.2 55.5
Positive 33.3 42.8
predictive
value
Negative 100.0 90.9
predictive
value
Accuracy 84.0 56.0

Of the cases confirmed histologically, 6 (85.7%) were within the 30-39 age group with 4 (57.1%) having fatty parenchyma. The masses seen on ultrasound measured 5 - 28mm in width in size for both ductal carcinoma in situ and invasive ductal carcinoma. Table 4, Figures 2 and 3.

Table 4.

Age group and parenchymal features seen in histologically confirmed cases of breast cancer

S/N AGE
GROUP
(years)
PARENCHYMA
USS (MAMMOBIRADS)
Ultrasound
size (mm)
Mammographic
Size
(mm)
Histology
1 30 – 39 Fatty (A) 8 × 11 × 6 8 × 10 DCIS
2 30 – 39 Fatty (B) 28 × 17 × 24 20 × 12 DCIS
3 30 – 39 Fatty (B) 5 × 3 × 3 - DCIS
4 30 – 39 Fatty (A) 14 × 14 × 14 10 × 12 DCIS
5 30 – 39 Fibroglandular
(D)
5 × 4 × 4 - DCIS
6 30 – 39 Fibroglandular
(C)
6 × 4 × 5 8 × 6 DCIS
7 40 – 49 Fibroglandular
(C)
28 × 26 ×30 21 × 24 IDA

Figure 2.

Figure 2

Mediolateral mammogram of the right breast showing a deep seated highly dense breast mass

Figure 3.

Figure 3

Corresponding ultrasound of the deep seated mass shows a lobulated mass with spiculations.

Majority were in the 30 – 39 age group and were found in fatty breasts, masses seen were comparable in size using both modalities (largest 20mm)

Discussion

The slightly lower mean age (41.02± 6.5years) than that of Devolli-Disha etal7 and Berg etal9 (56.56± 12.60years and 55.14 ± 0.19years respectively) may probably be due to a wider age range of 30 – 79years and 25 – 91years respectively.

A lower breast density has been noted in African American women compared with Caucasian and Latino women.10 This is in consonance with what was seen in this study as the predominant breast parenchyma in the entire study population was fatty (BIRADS A and B) using both ultrasound 237 (79%) and mammography 233 (77.7%) in almost equal proportion. Predominantly fibro glandular parenchyma was seen in 21 – 23% of the study participants in consonant with a Ugandan study with 25% (BIRADS C and D).11

Breast density decreases with increasing age due to a decrease in glandular tissue and its replacement by fat.12

This is similar to findings in this study, as the women in the >50year age group had less fibro glandular parenchyma 7 (20.6%) and hence less density than those in the 40 –49year age group 29 (22.8%).

More benign 106 (35.3%) than malignant lesions 7(2.3%) were seen in the study, as was noted in other studies conducted.10,11 Akinola et al also had multiple benign lesions in the study of spectrum of mammographic findings; however the frequency was not mentioned.12

A high percentage 280 (93.3%) ultrasound and 263(87.0%) mammogram of this study population had normal and benign findings (BIRADS 1 and 11) (Table 3), and is consistent with Berg et al's study with only mitotic lesions in 1.5%, leaving normal and benign lesions at 98.5%.9 Benign lesions detected by ultrasound 99 (33%) and mammography 89 (29.0%) in this study is in contradistinction with Devolli-Disha et al's with 52%, their study population were symptomatic women.7

The most common features seen in this study (using both ultrasound and mammography) that raised a suspicion of breast cancer include mass 20 (100%) versus 11 (73.3%), speculation 10 (50.0%) versus 8 (53.3%) and architectural distortion 10 (50.0%) versus 10 (66.7%) using ultrasound and mammography respectively. These findings were statistically significant (p 0.001) in line with studies done.11,12 Ultrasound detected a mass in 20 (100%) of the suspicious cases, more than mammography which detected 11(73.3%).

This is contrary to a study by Berg et al which found more cancers using mammography than ultrasound.9 This may be because patients who had a prior history of breast cancer were not excluded from their study.9 It is however similar to what was found during the Avonacrin trial by the American College of Radiology which conducted ultrasound screening of asymptomatic women with dense breasts for three consecutive years.13 Ultrasound detected 4.2 per 1000, more than were detected at mammography.

Architectural distortion is another important feature of breast cancer that must not be missed or overlooked. A study found out that of the percentage that had architectural distortion using mammography, 5 –7% were malignant.14 Architectural distortion was seen in 10 (50%) and 10 (66.7%) of cases in this study using ultrasound and mammography and all the 7(2.3%) who were confirmed cases of breast cancer had this feature. The difference may be due to the small study population utilized in this study.

Breast cancer has been known to occur more frequently in those with fibro glandular tissue, especially in the Caucasians.10 A researcher estimated a four to six fold increased risk of having cancer compared with women with less dense tissue.15 In this study however, majority 6 (85.7%) of the 7 participants who had breast cancer were identified as having fatty parenchyma using both ultrasound and mammography. This may be because the study is done in an African population who have less dense tissue than their Caucasian or Latino counterparts.10

Mammography has inherent limitations with a reported false negative rate of 10 – 15%.15 Ultrasound on the other hand is highly sensitive with a high false positive rate, which results in a high cost of benign biopsies when compared with mammography.13 These findings are similar to what was found in this study.

The sensitivity and specificity of each imaging modality were assessed with ultrasound yielding a high sensitivity (100%) and low specificity (22%) and mammography having a lower sensitivity than ultrasound (85%), but a much higher specificity (55.5%).

The ultrasound specificity is similar to what is obtained in older studies in which inadequate detection of smaller cancer and false positive biopsy rates have been documented;14 however it is unlike what is now obtained in literature, in which high specificity is recorded.14 This may be due to the fact that ultrasound is highly operator dependent and images tissue planes rather than the whole breast. The sensitivity and specificity of mammography in this study were however similar to what was seen in other studies, in which sensitivities ranged between 80 – 90%.10

The accuracy of ultrasound is also higher than that of mammography, as seen in a study in which ultrasound was able to detect 4.2 more cancers than were detected by mammography.16 Similar findings were seen in this study as the diagnostic accuracy of ultrasound (84%) was higher than that of mammography (56%).

Conclusion

Ultrasound and mammography were both used as screening tools in this study, however ultrasound was better as a first line of screening due to its high sensitivity especially in dense breasts. Both were useful in denoting the type of breast parenchyma. The type of parenchyma prevalent in this study was fatty, about 20 – 25% had fibro glandular parenchyma.

Majority of the lesions detected on screening were benign with fibro adenomas being the commonest lesion. Ultrasound was able to detect more lesions than mammography especially in women with dense breasts and was able to characterise cystic from solid lesions.

The features of breast cancer were mass, architectural distortion, speculations and micro calcifications. Ultrasound detected more masses than mammography; however mammography was better at detecting micro calcifications, which was one of the first features that suggest an interval cancer.

Recommendations

The importance of screening cannot be overemphasized. The Federal, State and Local government should develop policies and guidelines that would ensure routine screening of all women for breast cancer. Adequate funds should be made available and manpower strengthened for the implementation of integrated specific vital public health breast cancer programmes.

It is also recommended that annual breast screening should commence from the age of 30years, using ultrasound as a first line screening tool in nulliparous women and parous women or both ultrasound and mammography in order to increase accuracy. Ultrasound can be used as a first line of screening especially in remote/rural areas of the developing world.

Figure 1.

Figure 1

Prevalent breast parenchyma

References

  • 1.Jedy-Agha E, Curado MP, Ogunbiyi O, et al. Cancer incidence in Nigeria: a report from population-based cancer registries. Cancer Epidemiol. 2012;36(5):e271–e278. doi: 10.1016/j.canep.2012.04.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Adebamowo CA, Hu FB, Cho E, et al. Dietary patterns and the risk of breast cancer. Ann Epidemiol. 2005;15(10):789–795. doi: 10.1016/j.annepidem.2005.01.008. [DOI] [PubMed] [Google Scholar]
  • 3.Nemesure B, Suh-Yuh W, Ian R, Leske C, et al. Risk factors for breast cancer in a black population. The Barbados National cancer study. Int J Cancer. 2009;124(1):174–179. doi: 10.1002/ijc.23827. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.World Health Organisation (WHO), author Breast cancer: prevention and control. [05/06/13]. http://www.who.int/cancer/detection/breastcancer/en/index1.html.
  • 5.Oche MO, Ayodele SO, Umar AS. Breast Cancer and Mammography: Current Knowledge, Attitudes and Practices of Female Health Workers in a Tertiary Health Institution in Northern Nigeria. Public Health Research. 2012;2(5):114–119. doi: 10.5923/j.phr.20120205.01. [DOI] [Google Scholar]
  • 6.Lawal O, Murphy FJ, Hogg P, Irurhe N, Nightingale J. Mammographic screening programs - a critical comparison to other countries. Radiography. 2015;21(4):348–351. [Google Scholar]
  • 7.Devolli-Disha E, Manxhuka-Kerliu I, Ymeri H, et al. Comparative accuracy of mammography and ultrasound in women with Breast symptoms according to age and Breast density. J Basic Med Sci. 2009;9(2):131–136. doi: 10.17305/bjbms.2009.2832. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Buderer NM. Statistical methodology: I. incorporating the prevalence of disease into the sample size calculation for sensitivity and specificity. Acad Emerg Med. 1996;3(9):895–900. doi: 10.1111/j.1553-2712.1996.tb03538.x. [DOI] [PubMed] [Google Scholar]
  • 9.Berg W, Gutierrez L, Nessaiver M, et al. Diagnostic accuracy of mammography, clinical examination, US and MRI in preoperative assessment of breast cancer. Radiology. 2004;233(3):830–849. doi: 10.1148/radiol.2333031484. [DOI] [PubMed] [Google Scholar]
  • 10.Chen Z, Wu AH, Gauderman WJ. Does mammographic density reflect ethnic differences in breast cancer incidence rates? Am J Epidemiol. 2004;159(2):428–437. doi: 10.1093/aje/kwh028. [DOI] [PubMed] [Google Scholar]
  • 11.Galukande M, Kiguli Malwadde E. Mammographic breast density patterns among a group of women in Sub Saharan Africa. Afr Health Sci. 2012;12:422–425. doi: 10.4314/ahs.v12i4.4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Akinola RA, Akinola OI, Jinadu FO. Spectrum of mammographic findings in a tertiary hospital in Nigeria. Sci Res Essay. 2007;2(12):502–507. [Google Scholar]
  • 13.Berg WA. Rationale for a trial of screening breast ultrasound: American College of Radiology Imaging Network (ACRIN) 6666. Am J Roentgenol. 2003;180:1225–1228. doi: 10.2214/ajr.180.5.1801225. [DOI] [PubMed] [Google Scholar]
  • 14.Michell MJ, Al-Attar MA. Detection of subtle mammographic signs of malignancy. [Jan 2015]. www.appliedradiology.mobi/uploadedfiles/Issues/2003/09/Articles/AR_09_03_Michell.pdf.
  • 15.Varghese JS. Mammographic density as an early indicator of breast cancer. In: Benson JR, Gui G, Turtle TM, editors. Early breast cancer, from screening to multidisciplinary management. Third edition. Chennai: CRC press/Taylor and Francis group; 2013. pp. 13–14. Chapter 2. [Google Scholar]
  • 16.Devolli-Disha E, Manxhuka-Kerliu I, Ymeric H, KutIIovaca S. Comperative accuracy of mammography and ultrasound in women with Breast symptoms according to age and Breast density. J Basic Med Sci. 2009;9:131–136. doi: 10.17305/bjbms.2009.2832. [DOI] [PMC free article] [PubMed] [Google Scholar]

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