|Year : 2023 | Volume
| Issue : 1 | Page : 74-78
The correlation of sonographic and histopathologic findings in the diagnosis of palpable breast masses in Zaria
Nafisa Bello, Sefiya Adebanke Olarinoye-Akorede, Halima Mono Mohammed, Ibrahim Aliyu, Mubarak Zubair Abdullahi, Muhammad Zaria Ibrahim, Sulieman Lawal, Muhammad Haruna Rasheed
Department of Radiology, Ahmadu Bello University Teaching Hospital, Zaria, Nigeria
|Date of Submission||29-Sep-2022|
|Date of Acceptance||25-Oct-2022|
|Date of Web Publication||18-Jan-2023|
Dr. Nafisa Bello
Department of Radiology, Ahmadu Bello University Teaching Hospital, Zaria
Source of Support: None, Conflict of Interest: None
Introduction: Presently, histology is the gold standard in definite diagnosis of breast masses. Ultrasound is a relatively cheap, non-invasive, and non-ionizing imaging modality which is widely available in most hospitals. An assessment of its accuracy in diagnosing breast masses is necessary to minimize unwarranted biopsies. Aim and Objectives: This study aims to correlate the ultrasonographic and histopathologic findings in the diagnosis of patients with palpable breast masses. Materials and Methods: This was a cross-sectional hospital-based study, which involved 100 consecutive patients who presented with palpable breast masses in Zaria. This was carried out for a period of 7 months (November 2016–June 2017). They had a clinical breast examination to identify the mass, which was then imaged and biopsied via ultrasound-guided fine needle aspiration cytology. Results: The generated data were analysed using SPSS version 23.0 (Chicago, IL, USA). There were more benign masses (63%) than malignant masses (29%). On correlating the final diagnosis of ultrasound to that of histology, it was found to have a sensitivity of 89%; specificity of 94%; positive predictive value of 89%; negative predictive value of 94%; and accuracy of 92%. Conclusion: This study shows that there was a correlation between ultrasound and histology findings in differentiating between benign and malignant masses. This proves that ultrasound has a significant role to play in evaluating and diagnosing clinically palpable breast masses.
Keywords: Histopathology, palpable breast masses, ultrasonography
|How to cite this article:|
Bello N, Olarinoye-Akorede SA, Mohammed HM, Aliyu I, Abdullahi MZ, Ibrahim MZ, Lawal S, Rasheed MH. The correlation of sonographic and histopathologic findings in the diagnosis of palpable breast masses in Zaria. J West Afr Coll Surg 2023;13:74-8
|How to cite this URL:|
Bello N, Olarinoye-Akorede SA, Mohammed HM, Aliyu I, Abdullahi MZ, Ibrahim MZ, Lawal S, Rasheed MH. The correlation of sonographic and histopathologic findings in the diagnosis of palpable breast masses in Zaria. J West Afr Coll Surg [serial online] 2023 [cited 2023 Feb 6];13:74-8. Available from: https://jwacs-jcoac.com/text.asp?2023/13/1/74/367944
| Introduction|| |
Breast cancer is the most common cancer in women worldwide. Prompt diagnosis and treatment is achieved by doing a thorough clinical breast examination (CBE), imaging, and tissue sampling for a definite diagnosis.
Ultrasonography (USS) has a well-established ability to diagnose the nature and the extension of breast pathologies.,,, Histology is presently the gold standard investigation for the diagnosis of breast masses.
The correlation of sonographic and histopathologic findings will help determine the utility and sensitivity of ultrasonography as a first-line imaging modality in the diagnosis of palpable breast masses.
The aim of this study was to correlate the sonographic features and histopathologic findings in the diagnosis of patients with palpable breast masses in Zaria.
| Materials and Methods|| |
Prior to the commencement of this study, approval by the Ethical and Research Committee of the hospital was obtained.
This cross-sectional hospital-based study was carried out in the Department of Radiology, in a tertiary health institution located in north western Nigeria. The convenient sampling method was used. This study was carried out over a period of 7 months, from November 2016 to June 2017 after approval was granted by the Ethical Committee.
The study group was made up of 100 consenting consecutive Nigerian adults aged 18 years and above with a palpable breast mass.
On consenting to the study, procedure was explained and consent form was signed by the patient. A physical examination of the breast was done to identify the palpable mass.
Both breasts were scanned using a sonography system (Mindray, DC-8 series, China). The patient was placed in a supine position and arm on the side to be examined was raised and the hand placed under the neck to keep the breast firm on to the chest wall.
Sonographic gel was applied over the skin of the entire breast including the axilla. A high frequency (10 MHz) linear array transducer was then gently applied over the breast, and both sagittal and transverse scans were done radially.
When a mass was found, the shape, margins, orientation, echo pattern, and posterior acoustic features were recorded. Based on these BI-RADS descriptors for ultrasound, a final assessment category was assigned as follows:
Category 2: Benign findings;
Category 3: Probably benign findings;
Category 4: Suspicious abnormality;
Category 5: Highly suggestive of malignancy.
Category 1 (negative findings) and 6 (biopsy-proven malignancy) were not included in this study.
The confirmation of the ultrasound diagnosis was made by fine needle aspiration cytology (FNAC), which was done by a pathologist in the hospital.
The results and data generated from patients with palpable breast masses were compiled in an Excel data sheet before being analysed using Statistical Package for Social Sciences (SPSS) version 23.0 (Chicago, IL, USA). Results obtained from the sonographic features of palpable breast masses and their correlating histological findings were statistically analysed and represented in the form of tables. This was then used to find the following values: true positive (TP), false positive (FP), true negative (TN), false negative (FN), sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy.
| Discussion|| |
All participants were females. The mean age of the patients in this study was 34.66 ± 13.99 (range 18–69) years, which is similar to a study done in Zaria by Yusufu et al. which had a mean age of 36.4 (range 13–80) years after a 14-year study of breast masses in the same environment.
The age distribution of subjects presenting with palpable breast masses as shown in [Table 1] noted that the age group 18–27 had the highest incidence of breast lump with 39 (39%) subjects followed by the 28–37 age group that had 23 subjects. This is similar to a study by Singh et al., which had the highest incidence of breast lumps in the age group of 20–29 years (44%).
|Table 1: Age distribution of subjects with palpable breast masses in Zaria|
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[Table 2] and [Table 3] show ultrasound descriptors versus their BI-RADS class and histology findings, respectively. Ultrasound features which favoured benign diagnoses were oval (76%) and round (87%) shapes, with a well-circumscribed margin (82%) and an abrupt boundary (66%), which is similar to what was also noted in other studies [Figure 1].,,,,
|Figure 1: A longitudinal ultrasound scan showing a hypoechoic round mass with posterior acoustic enhancement which was assigned a BI-RADS 2 category. On FNAC, it was found to be a simple cyst|
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Ultrasound features predictive of malignancy in this study as shown in [Table 3] were irregular shape (71%) with a non-circumscribed margin (79%) and a halo (75%) surrounding the mass [Figure 2]. This is similar to what was recorded in other studies.,,,
|Figure 2: A longitudinal ultrasound scan showing an irregular hypoechoic mass with angulated and speculated margins. This was assigned BI-RADS 5 category and on FNAC it revealed to be breast carcinoma|
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The correlation of BI-RADS grades to histology findings in this study as shown in [Table 4] is similar to that reported by Lehman et al., whereby BI-RADS 2 and 3 were 99.7% and 100% for benignity, respectively, whereas this study had a 100% and 87.3% correlation for benignity for BI-RADS 2 and 3, respectively. In the case of BI-RADS 5, Costantini et al. and Lehman et al. noted 87.3% and 90% of their masses to be malignant, which is higher than that recorded in this study with 83.3% correlation for malignancy. In BI-RADS 4, an 81.1% correlation for malignancy was recorded, whereas Costantini et al. and Lehman et al. noted 46.7% and 8.6% correlation for malignancy, respectively. The low correlation for malignancy under the BI-RADS 4 category in the study done by Lehman et al. may be due to the fact that their study was restricted to those of age 30–39 years only, whereas this study had a wider range of 18–69 years.
[Table 4] also shows that there were more benign masses than malignant ones proven on histology. About 63% of the masses were found to be benign in this study and is similar to the study done by Nuhu et al., which had 63% benign masses in a study done in Maiduguri. Yusufu et al. noted 71% benign masses in their study in Zaria, which is higher than what was determined in this study.
Statistical test of independence was done as shown in [Table 5], and the BI-RADS grading was found to be statistically significant (P = 0.0001) in its correlation with histology in BI-RADS 2 and 5 categories. This is similar to what was noted in a study by Hong et al. BI-RADS 3 and 4, in contrast, were not statically significant with values of 0.129 and 0.487, respectively, in correlation with histology.
|Table 5: P-values of the correlation between the BI-RADS class and histology|
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The predictive value of ultrasound in diagnosing breast masses was calculated using a 2 × 2 table [Table 6] and then used in [Table 7], to calculate the sensitivity, specificity, NPV, PPV, and the accuracy. This study confirms the high sensitivity (identification of malignant lesions in patients with breast cancer; 89%) and the high NPV (identification of true negative findings in disease-free patients; 94%) of the sonographic BI-RADS classification. The BI-RADS also had a high specificity (94%) because of the low number of false-positive findings (four cases) in this study.
|Table 6: A 2 × 2 table showing findings on ultrasound vs. histology, taking histology as the gold standard|
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|Table 7: Sensitivity, specificity, PPV, NPV, and accuracy of the study using values from [Table 6]|
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The accuracy of this study (92%) in differentiating between benign and malignant masses was similar to that of Irurhe et al. and Pande et al., which recorded 97% and 94%, respectively, and higher than 71% recorded by Costantini et al.
| Conclusion|| |
The high sensitivity, specificity, NPV, and accuracy seen in this study confirm the usefulness of ultrasound in diagnosing and differentiating between benign and malignant masses. The study also notes benign masses to be more common than malignant breast masses.
This shows that ultrasound use should be considered in patients with clinically palpable breast masses as an initial investigation and follow-up as it is more accessible and relatively cheaper in developing countries such as Nigeria. In many communities, mammography is expensive, plagued by frequent breakdowns, and found only in few areas; therefore, sonography can be used early in evaluating any breast mass and follow-up ultrasound scans are done as advised by American College of Radiology to avoid frequent biopsies which are more expensive.
Further studies with longer durations are needed to prove the usefulness of ultrasound in showing the stability of the grey scale features of BI-RADS 3 masses leading to a reduction in the amount of biopsies done.
Studies should also be done to include non-palpable masses because ultrasound accuracy has been shown to vary according to palpability of the lesion.
The authors would like to thank all those who contributed in the making of this article.
Financial support and sponsorship
This was a self-sponsored study.
Conflicts of interest
There are no conflicts of interest.
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[Figure 1], [Figure 2]
[Table 1], [Table 2], [Table 3], [Table 4], [Table 5], [Table 6], [Table 7]