The added advantage of automated breast ultrasound to mammographically detected different breast lesions in patients with dense breasts
Egyptian Journal of Radiology and Nuclear Medicine volume 51, Article number: 59 (2020)
Breast cancer is the most commonly diagnosed malignancy in women worldwide. Women with dense breast tend to have 15–25% lifetime risk of breast cancer due to decrease of mammographic sensitivity. Automated breast ultrasound (ABUS) is a new promising tool for detection of breast lesions masked by dense glandular tissue at mammography.
The sensitivity of digital mammography in detecting breast lesions was 60.7%, specificity 91.6%, PPV 85%, NPV 75%, and accuracy 78%. The sensitivity of ABUS in detecting breast lesions was 92.86%, specificity 77.78%, PPV 76.47%, NPV 93.33%, and accuracy 84.38%. The sensitivity of handheld ultrasound (HHUS) in detecting breast lesions was 89.29%, specificity 88.89%, PPV 86.21%, NPV 91.43%, and accuracy 89.06%.
The sensitivity of ABUS in detecting breast lesions was much higher than mammography in dense breast while the digital mammography (DM) had higher specificity. So, implementation of both DM and ABUS to get benefit of DM specificity as well as ABUS sensitivity were highly recommended.
Breast cancer is the leading cause of cancer-related death among females worldwide . Early detection of breast cancer improves outcomes, i.e., survival is relatively good when these cancers are diagnosed at an early stage .
A recent study showed 43% number reduction among women participating in a national screening program .
Mammography is an effective randomized controlled trial-proven method for reducing mortality due to breast cancer .
The sensitivity of mammography depends on breast density. Studies on women with dense breasts have demonstrated a sensitivity of less than 50% .
Women with extremely dense breasts also have a 4.7-fold increased risk of developing breast cancer compared with women with fatty-replaced breasts. There is about 18-fold increased risk of an interval cancer in women with dense breast tissue .
Cancers detected in women with dense breast tissue are larger and more frequently node positive .
The role of radiologists in imaging the breast is vital. At present, X-ray mammography is the “gold standard” for screening and early detection of breast cancer .
Women with dense breast tissue constitute the largest population of “intermediate risk” women—that is, women with a 15–25% lifetime risk of breast cancer. They have the “perfect storm” of decreased mammographic sensitivity and increased risk of breast cancer .
Breast ultrasonography (US) is currently considered the first-line examination in the detection and characterization of breast lesions. However, conventional handheld US (HHUS) has several limitations such as operator dependence and the requirement of a considerable amount of radiologist time for whole-breast US .
ABUS has several advantages over HHUS, such as higher reproducibility, less operator dependence, and less required physician time for image acquisition .
Recent studies have reported that ABUS is promising in US screening for women with dense breasts and can potentially replace handheld second-look US in a preoperative setting .
Aim of work
The aim of this study was to assess the ability of ABUS to detect mammographically occult breast lesions at dense breasts, assessing the diagnostic parameters of ABUS compared to digital mammography as well as HHUS in detection of breast lesions in dense breast. The secondary outcome was to prove the effectiveness of using ABUS as a screening tool in dense breasts in BIRADS 0 mammography results.
Prospective study was conducted on 59 patients presented with either palpable breast mass or as a part of early screening starting from January 2017 till July 2018. Their ages ranged from 24 to 81 years (mean age, 41 ± 10 SD years). Three cases were represented with bilateral lesions and two cases had two lesions in the same breast.
Dense breast (ACR C or ACR D) on digital mammography.
Breasts with American College of Radiology (ACR) A (predominantly fatty breast) or ACR B (scattered glandular tissue) detected with digital mammography were excluded.
Limitations of the ABUS in the study
Exclusion of axillary regions from the field of view.
The absence of tools to assess vascularity and tissue elasticity.
Artifacts that occur during data acquisition remain an issue that can cause false positive results or can obscure actual findings. The area where the most significant artifact usually occurs is in the subareolar region.
All of the cases (n = 59) were subjected to both digital mammography and automated breast ultrasound, as well as routine handheld ultrasound. They were asked to expose the upper part of the body. No other special preparations were needed.
Digital mammography examination protocol design
A craniocaudal (CC) and a medio-lateral oblique (MLO) views were obtained with the patient in a standing position. Breast compression was applied. Images were acquired with a mammography system Senographe Essential, GE Healthcare fullfield digital mammography machine. Senographe Essential has dual anode (rhodium molybdenum) with CsI digital detector.
Automated breast examination protocol design
All participants underwent ABUS examination. All ABUS exams were done with an ABUS system (Invenia TM ABUS, Automated Breast Ultrasound System, GE Healthcare, Sunnyvale, CA, USA) with high frequency probe. The transducer length is 15.3 cm, with 6-15 MHz frequency. The gray scale levels were 256 with frame rate 10 frames/second. The examination was performed in the supine position.
A cushion placed under the shoulder that helped to spread out the breast tissue evenly, with the nipple pointing to the ceiling. A hypoallergenic lotion placed evenly on the breast with an additional amount on the area of the nipple.
A disposal membrane was used to aid an acoustic coupling and one of the three levels of compression was applied to spread out the breast evenly with respect to image quality and patient comfort. The ABUS scan was continuous and automated. During the acquisition, women were asked not to move and to breathe smoothly.
Volume acquisitions were obtained in the axial plane starting from the inferior part of the breast with coronal and sagittal reconstruction.
Image data automatically acquired a 15.4 cm × 17.0 cm volume from the skin to the chest wall up to 5 cm deep with 0.2 mm thickness of each slice. For each breast, three volumes were obtained: the central (anteroposterior) volume with the nipple in the center of the footprint, the lateral volume that included the upper outer part of the breast tissue with the nipple located in the inferior-medial corner, and the medial volume that included the inner and inferior part of the breast tissue. A nipple marker was placed in every examination for the accurate co-ordinance. For optimal image quality, a selection between three breast sizes was made. In women with larger breasts additional views were taken to avoid tissue exclusion.
Handheld ultrasound images (HHUS)
The gel was applied to the breasts and ultrasound examination was done using radial and antiradial techniques with axilla, with probe frequency 18-5 MHz.
The digital mammography and automated ultrasound data were evaluated by two experienced radiologists in consensus; both observers were unaware of the pathological data of each patient.
Digital mammography images
Assessment of breast composition, mass characterization (shape, margin density), asymmetry, calcification, mass number, location, axillary lymphadenopathy, extension, skin thickening, retraction and architectural distortion, and BIRADS classification was done.
Automated ultrasound images and handheld ultrasound images
Assessment of mass characterization (shape, margin orientation, echopattern, posterior feature, calcification), mass number, location, axillary lymphadenopathy, skin thickening, retraction, and BIRADS classification were done. Additionally, for ABUS, we assessed lesions’ character in coronal view.
All breast masses included in this study were interpreted as above described and then the accuracy in reaching the final diagnosis was calculated for digital mammography and automated ultrasound as well as HHUS.
Pathological results were used as the gold standard of reference for the 64 lesions apart from 13 lesions which were proven by HHUS criteria to be benign (9 diagnosed as fibroadenomas (follow up) and 4 as simple cysts).
Samples were obtained with fine needle aspiration cytology (FNAC), cytology of nipple discharge, core biopsy, surgical excision, and/or radical surgery. Analysis of the samples was performed in the pathology department by a group of well-trained expert pathologists.
Data were coded and entered using the statistical package SPSS (Statistical Package for the Social Sciences) version 25. Data were summarized using mean, standard deviation, median, minimum and maximum in quantitative data, and using frequency (count) and relative frequency (percentage) for categorical data.
Comparisons between quantitative variables were done using the non-parametric Mann-Whitney test. For comparing categorical data, chi square (χ2) test was performed. Exact test was used instead when the expected frequency is less than 5. Correlations between quantitative variables were done using Spearman correlation coefficient. Standard diagnostic indices including sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and diagnostic efficacy were calculated. Testing for agreement between different methods in numerical data was done using the intra class coefficient (ICC) with 95% confidence interval (95% CI). P value less than 0.05 was considered as statistically significant.
This prospective study included a total of 59 patients with 64 lesions presented with breast masses (detected by clinical examination or by mammography examination). Their ages ranged from 24 to 81 years (mean age, 41 ± 10 SD years).
Thirty-six lesions (56.2%) were diagnosed as benign while 28 (43.8%) lesions were diagnosed as malignant.
Pathological results were used as the gold standard of reference apart from 13 lesions which were proven by HHUS criteria to be benign, 9 diagnosed as fibroadenomas (follow up) and 4 as simple cysts.
Each examination (digital mammography, ABUS, and HHUS) was evaluated regarding the following criteria according to the 5th edition of BIRADS lexicon.
As regards lesion detection 25 lesions (39.1%) out of 64 lesions were not detected by mammography, 14 (56%) of them were benign, and 11 (44%) were malignant.
As regards breast density, 44 (68.8%) of breasts examined were ACR C, while 20 (31.2%) were ACR D. No significant correlation in our study between glandular tissue composition breast and malignancy (P value 0.221).
As regards the BIRADS evaluation of different lesions by mammography, 27 lesions were considered BIRADS 0 for further evaluation by other imaging tools, 1 lesion was considered BIRADS II, 19 lesions were considered BIRADS III, 16 lesions were considered BIRADSIV, and 1 lesion was considered BIRADS V (Table 1).
True positive = 17 (60.7%), false positive = 3 (8.3%), false negative = 11 (39.3%), true negative = 33 (91.7%)
As regards lesion detectability, it was higher than mammography, it could detect 15 lesions missed by mammography; however, it was lower than ABUS. ABUS could detect duct papilloma interpreted by HHUS as dilated ducts, and a second lesion was retro areolar lesion, interpreted by HHUS as dilated ducts with increased internal vascularity (Table 2).
As regards lesion detectability, it was the highest by ABUS; it could detect 17 lesions missed by mammography, and 2 lesions missed by HHUS.
True positive = 26 (53.6%), false positive = 8 (22.2%), false negative = 2 (7.1%), true negative = 28 (77.8%)
As regarding lesions margins in coronal view (which is unique for ABUS), 21 (32.8%) lesions showed retraction phenomenon (all were malignant 100%), 21 (32.8%) lesions showed complete hyperechoic rim (19 (90.5%) were benign), 14 (21.9%) lesions showed incomplete (discontinuous) hyperechoic rim (9 (64.3%) were benign while 5 (35.7%) were malignant), no masses were detected in 8 (12.5%) cases. Sensitivity of retraction phenomenon for malignancy was 75%, while specificity was 100%. Specificity of hyperechoic rim for benign lesions was 90.5%, while sensitivity for benign lesion detection was 52.8% (Tables 3, 4, 5 and 6, Figs. 1, 2, and 3).
Breast cancer is the most common malignancy in women from developed and developing countries. Detection and treatment of breast cancer in its earliest possible stage are the ultimate goal. Thus, the role of radiologists in imaging the breast is vital. At present, X-ray mammography is the “gold standard” for screening and early detection of breast cancer . Women with dense breast tissue have a high risk of developing breast cancer in a ratio of 15-25% . ABUS has a promising role in patients with dense breasts in detecting the hidden lesions, as it is a non-operator dependent and it needs less time of interpretation by a radiologist, helping to improve the workflow .
Wilczek et al.  stated in a study on 1668 asymptomatic women, age 40–74 years, with heterogeneously dense parenchyma (ACR C) or extremely dense breast (ACR D) that the increase in sensitivity of screening for full field digital mammography and 3D ABUS versus FFDM alone was 36.4%. The difference in specificity was − 0.7%.
Giger et al.  reported in a study done on 185 asymptomatic women with BI- RADS C or D breast density that the sensitivity was 57.5% for FFDM alone and 74.1% for FFDM with ABUS, yielding a statistically significant increase in sensitivity (P < 0.001) (relative increase = 29%). Overall specificity was 78.1% for FFDM alone and 76.1% for FFDM with ABUS (P = 0.496).
The Somo insight study  preformed on 15,318 women. The sensitivity of mammography alone was 73.2 (95% CIs 64.9, 81) versus 100% for combined ABUS and mammography. The specificity for mammography alone was 85.4 (95% CIs 84.9, 86.0) while for combined ABUS and mammography, the specificity was 72.0 (95% CIs 71.3, 72.7).
A study done on 3418 asymptomatic women with mammographically dense breasts revealed that the sensitivity and specificity of stand-alone digital mammography were 76.00% (95% CI, 54.87-90.58%) and 98.2% (95% CI, 97.76-98.59%) respectively. The positive predictive value was 20.43% (95% CI, 12.78-30.05%). The sensitivity and specificity of ABUS were 97.67% (95% CI, 87.67-99.61%) and 99.70% (95% CI, 99.46-99.86%), respectively. The positive predictive value of ABUS was 80.77% (95% CI, 67.46-90.36%) .
In this study, the sensitivity and specificity of stand-alone digital mammography were 53.6% (95% CI, 33.87-72.49%) and 91.7% (95% CI, 77.53-98.25%). The positive predictive value was 71.74% (95% CI, 62.75 to 79.27%).The sensitivity and specificity of ABUS were 92.8% (95% CI, 76.50 to 99.12%) and 77.78%, (95% CI, 60.85%-89.88%) respectively. The positive predictive value of ABUS was 76.47% (95% CI, 63.62 to 85.80%).
To summarize, this study showed the same results compared to the above four studies that ABUS showed an average of 30% increase in sensitivity in detecting breast malignancy in dense breast compared to digital mammography. As regards specificity, mammography had higher specificity than ABUS in all fore mentioned studies except Wilczek et al. , who showed near results of specificity between DM and ABUS but still higher specificity for DM.
Chen et al.  stated that there were no significant differences between the ABUS and HHUS in terms of sensitivity (92.5% vs. 88.0%), specificity (86.2% vs. 87.5%), accuracy (88.1% vs. 87.2%), positive predictive value (74.7% vs. 75.6%), and negative predictive value (96.3% vs. 94.3%) (P, 0.05 for all).
Choi et al.  evaluated a large population of asymptomatic women who were subdivided into two groups (1866 patients for ABUS and 3700 patients for HHUS) and showed that diagnostic accuracy and specificity were significantly higher for ABUS than HHUS (respectively, diagnostic accuracy 97.7 vs. 96.5% and specificity 97.8 vs. 96.7).
In this study, comparing ABUS versus HHUS as regards sensitivity (92.8% vs. 89.3%), specificity (77.8% vs. 88.9%), accuracy (82.4% vs. 89%), positive predictive value (76.5% vs. 86.2%), and negative predictive value (93.3% vs. 91.4%). In our study, ABUS had higher sensitivity (no significant difference) than HHUS, but HHUS has higher specificity and diagnostic accuracy.
Vourtsis et al.  performed a study that included women with breast density category C or D (aged 48.6 ± 10.8 years) were recruited. All participants underwent ABUS and HHUS examination; a subcohort of 1665 women also underwent a mammography. The overall agreement between HHUS and ABUS was 99.8%; kappa = 0.994, P < 0.0001. In this study, the overall agreement between HHUS and ABUS was kappa = 0.694, P < 0.0001, which is lower compared to the above study.
Rella et al.  stated that retraction phenomenon (odds ratio [OR], 76.70; 95% confidence interval [CI], 12.55, 468.70; P < 0.001) was the strongest independent predictor for malignant masses.
Chen at al . stated that there were significant differences between the malignant and benign masses with respect to retraction phenomenon and hyperechoic rim in the coronal plane of the ABUS. For retraction phenomenon, both the specificity and positive predictive value of a malignant diagnosis reached 100%, and the accuracy and false-positive rate were 96.8% and 0, respectively; for the hyperechoic rim, the specificity, negative predictive value, and accuracy of a benign diagnosis were 92.8%, 95.3%, and 95.9%, respectively.
These results are going with this study that retraction phenomenon has a significant relation with malignant pathology (P value < 0.001) with 100% specficity and 75% sensitivity, while complete hyperechoic rim has significant relation with benign pathology with (P value < 0.001) with 90.5% specificity and 52.8% sensitivity.
Rella et al.  stated that the coronal plane also improves the evaluation of lesion margins; benign tumors are often surrounded by a continuous hyperechoic rim, while breast cancers can present a discontinuous hyperechoic rim. In this study, 14 cases showed incomplete (discontinuous) hyperechoic rim, 9 of them were benign (64%) while 5 (36%) were malignant.
Finally, Skane et al.  proved that combined mammography and ABUS reading by the same radiologist improved diagnostic performance and resulted in higher observer agreement. Consequently, combined reading mode should be “standard” if ABUS was implemented in screening for women with dense breasts. Prospective studies were necessary before the implementation of ABUS could be recommended in population-based screening. This study also went finally with same recommendation as mammography still could detect DCIS before IDC development as per our knowledge; further research is also recommended for this point.
The potential role of ABUS in the follow-up of benign lesions was supported by its considerable reliability in the recording of lesion location, distance from the nipple, and lesion size, these features suggested potential use in the follow-up of benign lesions as per Chang et al. .
The sensitivity of ABUS in detecting breast lesions is much higher than mammography in dense breast, while the DM has higher specificity. We recommend the implementation of both DM and ABUS to get benefit of DM specificity as well as ABUS sensitivity.
Availability of data and materials
The data sets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
Negative predictive value
Positive predictive value
Automated breast US
Fullfield digital mammography
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Ethics approval and consent to participate
The study is a prospective study that was reviewed by the ethics committee of Radiology Departments and was approved by the review board that is related to our University. Patients included gave informed written consent to use their data in research work. No applicable reference number.
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Ali, E.A., Ahmed, A.M. & Elsaid, N.A. The added advantage of automated breast ultrasound to mammographically detected different breast lesions in patients with dense breasts. Egypt J Radiol Nucl Med 51, 59 (2020). https://doi.org/10.1186/s43055-020-00171-9
- Dense breast
- Automated breast ultrasound