Automated breast ultrasound (ABUS) as a screening tool: initial experience
Egyptian Journal of Radiology and Nuclear Medicine volume 50, Article number: 37 (2019)
Breast cancer is a major health problem, being the most common cancer in women. Early detection of breast cancer aims to the reduction of mortality and morbidity rates. Conventional screening methods include mammography and ultrasonography; however, both modalities have their limitations. Automated breast ultrasound (ABUS) is a recent technological advancement in the field of breast imaging having the benefit of standardization of the scans and lack of operator dependence as in conventional handheld ultrasound scans. The aim of this work was to report our initial experience of the added value of ABUS as a breast screening tool. The study included 200 patients who had screening mammograms, ultrasound, and ABUS.
A significant difference was found between the number of lesions detected by ABUS and conventional ultrasound. A significant difference was found between lesions detected by ABUS and mammography which was most evident in patients with dense breasts.
ABUS is a valuable tool in the screening of the breast with improved lesion detection, especially in patients with dense breasts.
Breast cancer is a major worldwide health problem as it is the most common cancer in women. It accounts for 22.9% of all new female cancers worldwide and in Egypt for 37.7% of total female cancers and 29.1% of cancer-related death .
The aim of early detection of breast cancer is to reduce the morbidity and mortality rates . Mammography has been established as the imaging modality for screening and early detection of breast cancer . The major disadvantage of mammography however is the relatively low sensitivity and specificity, especially in women with dense breasts, secondary to the low contrast between the density of tumor tissue and the surrounding breast tissue .
Breast ultrasound combined with mammography has proven to improve tumor detection rates specifically in women with dense breasts (ACR C and D types). Conventional breast ultrasound is operator-dependent which implies that its results are affected by the operator skill and experience with consequent loss of standardization .
Automated breast ultrasound (ABUS) is a technological advancement in the field of ultrasound imaging that was developed to overcome the issue of operator dependence of conventional US scanning by standardization of the images acquired. This is achieved by volumetric acquisition of multiple US images of the breast that can be stored and post processed, i.e., 3D and multiplaner reformatting, for later reading and evaluation [5, 6]. Despite automated breast ultrasound (ABUS) has been around for more than a decade yet earlier systems provided inadequate image quality for proper interpretation. Recent developments in ABUS systems with the use of high-frequency transducers allowed for a reproduction of images with a superior quality in a short time as well .
The aim of this work is to study the added value of ABUS in the screening of women with suspected breast masses compared to conventional mammography and hand-held ultrasound.
The study included 200 female patients during the period from February 2017 to January 2018.
Inclusion criteria were any female in the child-bearing age complaining of breast pain or lump and those with a positive family history of breast cancer. Exclusion criteria included patients with a known diagnosis of breast cancer under treatment and those with history of mastectomy or previous interventions for breast lesions.
All patients were subjected to a full clinical examination, 80 patients had biopsy and histopathological analysis based on imaging findings.
Routine screening mammography using craniocaudal and mediolateral oblique views for both breasts was performed in 108 patients as those below the age of 30 were screened by ultrasound only as recommended by the international guidelines . Mammography was performed using Senographe Essential (GE Healthcare, USA) full-field digital mammography (FFDM) machine. Mammograms were reviewed for the breast density, presence of masses with detailed analysis of its site, type, number, border, calcifications, and size.
All 200 patients had a hand-held (conventional) ultrasound (HHUS) scan and automated breast ultrasound (ABUS) for both breasts. Hand-held ultrasound was performed on a Toshiba Nemio XG Ultrasound machine (Toshiba Medical Systems, Japan) using a 7–11 MHz linear transducer. The technique performed for HHUS was done after exposure of the breasts with the patient lying supine and her ipsilateral hand raised above the head. The ultrasound probe was oriented perpendicular to the chest wall. Radial scanning technique, in a clockwise fashion, using the nipple as a center point was followed. Scanning of each breast quadrant in the sagittal and transverse planes was also performed and the examination time took about 20 min.
Automated breast ultrasound (ABUS) was performed using the Invenia ABUS machine (GE Healthcare, USA) which is equipped with 14 MHz linear transducer. The scan was performed with the patient in a supine position, a wedge is placed under the back of the patient on the side to be examined; this allows for flattening the breast for improved contact with the probe. After exposure of the breast, application of an adequate amount of coupling gel over the entire surface of the breast is done with an extra amount applied to the nipple-areolar complex to insure proper scanning and avoid scanning artifacts. The transducer was applied to the breast using mild compression to avoid motion artifacts. Scanning was performed in three standard views (coronal, longitudinal, and transverse views) to allow for adequate coverage of the entire breast tissue. Using the nipple as a centering point, the anteroposterior (AP) position is first taken. Lateral position is taken by angling the probe from the axilla towards the sternum and for medial position the probe is angled from the sternum towards the axilla. The scans are initially reviewed on the machine monitor for quality assurance of the acquired scan. The scan time for each acquisition was 1 min and volumetric data obtained were automatically transferred to the Invenia ABUS workstation for post processing including axial, coronal, and sagittal reformats and analysis. The entire examination time was approximately 15 min for both sides.
Ultrasound studies were reviewed for the presence or absence of lesions, location, size, number, outline and contour (regular or irregular), margin or borders (micro or macro lobulations), echogenicity compared to the breast fat, and internal echopattern (homogenous or heterogeneous)
The study researchers reviewed the mammograms, conventional ultrasound, and ABUS findings in conjunction since it was their initial experience with ABUS. The researchers had a combined 10 years experience in breast imaging in between them.
Descriptive statistics were used in terms of frequencies (number of cases) and percentages when appropriate. Accuracy was represented using the terms sensitivity, specificity, positive predictive value, and negative predictive value.
Analytic statistics using t test and chi-square tests were used to compare the clinical and imaging findings obtained using pathological diagnosis as the gold standard of the detected masses.
The study included 200 female patients aged between 19 and 61 years (mean 35.44 ± SD 10.83). The most common patient complaint was pain in 140 patients representing 70% of the patient population and a lump in 32 patients representing 16%.
All patients were examined by ABUS and HHUS, but only 108 patients above the age of 30 years had mammograms performed. The number of patients with dense breasts, ACR C, and D, were 28 and 48, respectively, with a total of 76, representing 70.3% of the patients screened by mammography.
In this study, 120 patients were found to have negative imaging and pathological findings. Eighty patients had different breast pathologies, 48 showed benign findings and 32 showed malignant disease. The most common benign finding was fibroadneoma in 36 patients, and the most common malignant finding was Invasive ductal carcinoma in 22 patients. Fifty patients showed a single lesion and 30 showed multiple lesions with 20 of them showing lesions in both breasts.
Using ABUS lesions were detected in 76 patients out of 80 while by using HHUS the lesions were detected in 66 out of 80 patients. There was a statistically significant difference between the number of patients with lesions detected by ABUS and HHUS with p value of 0.012. There was no statistically significant difference between ABUS and HHUS in the detection of multiple lesions in the same patients with a p value of 0.16 (Figs. 1 and 2). The sensitivity, specificity, positive predictive, and negative predictive values for ABUS and HHUS are shown in Table 1.
Using mammography alone, lesions were detected in 24 out of 40 patients with positive findings, and addition of ABUS to mammography increased this number as lesions were detected in 38 out of 40 patients. A statistically significant difference was found with p value = 0.0001 (Table 2).
The added value of ABUS to mammography in detection of breast lesions was most noted in patients with dense and extremely dense breasts (ACR C and D) as a statistically significant difference was found with p value = 0.0001. Using mammography alone, 20 out of 36 lesions were detected while with the addition of ABUS 34 out of 36 lesions were detected (Fig. 3; Table 3)
A statistically significant difference was found between ABUS and HHUS in the detection of lesions smaller than 5 mm, when compared to HHUS. The number of lesions detected by ABUS smaller than 5 mm was 10 compared to 4 by HHUS with a p value of 0.002.
Automated breast ultrasound machines are considered as a recent addition in breast screening tools intended to overcome some of the limitations of conventional hand held ultrasound scanning . The ultimate goal of a successful mammographic screening program is the early detection of breast cancer .
In this study, there was statistically significant increase in the number of cases with lesions detected by ABUS compared to HHUS with increase in the accuracy 98% compared to 93%, sensitivity 95% compared to 82%, 100% sensitivity and negative predictive value 96.8% compared to 89.6%. The findings in this study are in agreement with those reported by Choi et al.  who reported a statistically significant difference between lesion detection by ABUS compared to HHUS and their diagnostic accuracy, sensitivity, and specificity were 97.70%, 77.78%, and 97.79% respectively. Vourtsis et al.  reported in their study that ABUS was comparable to HHUS is lesion detection; however, it outperformed HHUS in detection of architectural distortion, though they did not report sensitivity or specificity of each technique.
A statistically significant increase of the number of cases with lesions detected by the addition of ABUS to mammography and the use of mammography alone was found in this study, 38 out of 40 compared to 24 out of 40 lesions with p value < 0.001. The previous findings were most evident in the 36 patients with dense breasts (ACR C and D) where lesions were detected in 20 patients by the use of mammography alone, and 34 patients detected with the addition of ABUS. The sensitivity of lesion detection by mammography alone in our study was 60% and 95% when ABUS was combined with mammography. Our results are in agreement with the similar results showing an increase of the sensitivity of cancer detection by 36% using ABUS in combination with mammography reported by Wilczek et al.  and Kelly et al . The previous findings are also in agreement with Giger et al.  who stated a statistically significant increase in the detection rate of cancers with the use of ABUS combined with FFDM in patients with extremely dense breasts. Brem et al.  stated an increased rate of cancer detection with the addition of ABUS to screening mammography in patients with dense breasts; however, there was an increase in the number of false positive results as well.
In this study, there was a statistically significant increase in the detection of lesions smaller than 5 mm by ABUS when compared to HHUS. These findings are in agreement with those reported by Kelly et al.  who reported a significant increase in the number of detected small invasive cancers measuring less than 20 mm in size when adding ABUS to mammography.
Limitations of this study include the small number of patients, the relative bias in case selection as the researchers were still along the learning phase of this technique during the study, and that ABUS is a recently introduced imaging modality in Egypt with limited number of machines; to the best of our knowledge, two machines were installed at the time this study was conducted. Further studies incorporating this modality with the national screening program would definitely provide more information regarding the efficacy of the technique and the cost-benefit of its use on routine basis.
Automated breast ultrasound (ABUS) is a technological advancement in breast imaging and screening with the benefits of standardization of the scans, better detection of small lesions especially in patients with dense breasts and improved scan times. The main drawback in our opinion is the relatively high cost of the machine, compared to conventional machines, limiting its spread.
Availability of data and materials
The data sets generated and/or analyzed in this study are available through the corresponding author on reasonable request.
Automated breast ultrasound
Full-field digital mammography
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The authors declare that the study was self-funded, and no funding was obtained from the manufacturers of the machines used, from any of its representatives, or from any other organization.
Ethics approval and consent to participate
This study was approved by the Research Ethics Committee of the Faculty of Medicine at Tanta University in Egypt on February 2017; Reference Number of approval: 31366/02/17. All patients included in this study gave written informed consent to participate in this research.
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Mostafa, A.A.E., Eltomey, M.A., Elaggan, A.M. et al. Automated breast ultrasound (ABUS) as a screening tool: initial experience. Egypt J Radiol Nucl Med 50, 37 (2019). https://doi.org/10.1186/s43055-019-0032-9
- Automated breast ultrasound
- Breast screening