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DOI: 10.1055/s-0041-1734378
Utility of Digital Breast Tomosynthesis with Two-Dimensional Synthesized Mammography Images: A Pictorial Essay
Abstract
Background Mammography has been established as the key modality in the detection and diagnosis of breast cancers. Digital breast tomosynthesis (DBT) has emerged as a mammographic technique which allows improved visualization of abnormalities by reducing the effect of overlapping breast tissue.
Purpose This article is a pictorial essay which highlights the advantages of DBT with two-dimensional (2D) synthesized mammography (2DSM) images, its clinical applications, and its role in breast imaging.
Materials and Methods Selenia Dimensions HD mammography machine performs DBT which acquires a series of low-dose digital mammographic images of the compressed breast followed by full-field digital mammography. Software using specialized algorithms helps to create a 2DSM image reconstructed from the DBT data set. The images are interpreted on a dedicated work station on high-resolution monitors by the radiologist. American College of Radiology Breast Imaging-Reporting and Data System (BI-RADS) lexicon is used for reporting. High-resolution breast ultrasound which includes evaluation of the axilla is done for all cases.
Conclusion DBT improves detection and better characterization of lesions which thereby increases confidence of interpretation of mammograms and assigning BI-RADS categories for further management.
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Keywords
2D synthesized mammography (2DSM) - ACR BI-RADS - digital breast tomosynthesis (DBT) - FFDMIntroduction
Digital mammography (DM) enables early detection of small nonpalpable, benign, or malignant breast lesions which allows early treatment and thereby has an impact on reducing the mortality of breast cancer.[1] [2] However, the overall sensitivity of DM alone is limited by the superimposed breast tissue that can obscure lesions, resulting in missed cancers especially in dense breasts.[3] Specificity is reduced by the overlapping of fibroglandular tissue, which can give the appearance of lesions that may mimic cancer.[2] These also lead to unnecessary recalls for further imaging.
Digital breast tomosynthesis (DBT) is a specially modified DM technique that can reduce the masking effect of superimposition of fibroglandular tissue in the breast.[2] Volumetric data set of projection images is acquired with X-ray tube moving along an arc, which produces multiple tomo-images. The acquired data set can also yield postprocessed reconstructed single two-dimensional synthesized mammography (2DSM) image in each specific view. Besides, routine single exposure full-field digital mammography (FFDM) images can also be done.
When DBT is used in combination mode with FFDM, the patient radiation dose is increased by almost 1.5 to 2 times.[4]
With increasing concerns for patient radiation exposure, studies have shown that DBT with synthesized 2D mammography images gives comparable results with DBT and 2D mammography combination.[5] [6]
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Materials and Methods
At our institution, we use the Selenia Dimensions HD mammography system (Hologic Systems, USA, marketed by Trivitron, India), which can perform DBT in combination with FFDM. It has a patented software installed, which can produce 2DSM termed as C-view image, reconstructed from DBT data set, in Tomo HD mode.
Screening and diagnostic mammography using DBT along with FFDM are performed in our department. 2DSM C-view image was evaluated for all cases in each projection for reporting. High-resolution breast ultrasound that includes evaluation of the axilla is done for all cases. Dynamic contrast-enhanced magnetic resonance imaging (MRI) of the breasts was performed in cases where indicated or advised by the surgeon.
Technique and Technical Parameters
The procedure is similar for routine DM wherein the breast is compressed adequately between the compression paddle and the detector, which remains stationary. Selenia Dimensions HD uses amorphous selenium detectors.
The overhead X-ray tube moves along an arc making an angle called scan angle. As it moves, a series of exposures at different angles are acquired as a digital data set.[7]
Standard mammographic views of craniocaudal (CC) and mediolateral oblique (MLO) are usually done for each breast. At times, mediolateral is obtained at 90 degrees. It is mandatory that adequate compression is given for each breast and no patient motion is ensured. Proper positioning is essential with the nipple seen in profile and inframammary fold in the MLO projection is well visualized. The scan angle in our machine is 15 degrees, with continuous low-dose exposures and scan time of approximately 4 seconds for each standard view.
Combo-mode refers to an acquisition mode in which standard 2D FFDM in neutral perpendicular position is performed after DBT with the tube moving to the center. 2D FFDM and three-dimensional (3D) data sets are perfectly coregistered in the same examination with the same breast compression completed in approximately 10 seconds.
The number of reconstructed slices will depend upon the thickness of the compressed breast and “sections” with desired intervals, which is typically up to 1 mm thick slices. The images can also be grouped and viewed as a “thick slab.” The stack of images is seen with the image receptor with lower numbers being inferior on the CC view and lateral on the MLO view. The planes of the slices of reconstructed high-resolution images are parallel to the detector plate, which supports the breast.
Any object seen in the specific plane of each section in the stack of reconstructed images is in focus, whereas other objects which lie above or below, are out of focus and appear blurred. This helps in better depth localization and allows a “semi-3D” estimation of tissue distribution in DBT.[2] [3] [4] [5] [6] [7]
As images are acquired sequentially, tomosynthesis images and 2D FFDM are coregistered which allows lesions to be in the same x- and y-axis locations on both sets of images.
Following the exposures, acquired data set is processed by the computer to display tomo-images by filtered back-projection method. The image reconstruction time is 2 to 5 seconds. The reconstructed slices are then transmitted to a diagnostic workstation. High-resolution monitors are recommended for reporting. The radiologist can scroll images slice by slice and localize the abnormal findings with the advantage of visualizing the depth of a lesion in the z-axis. At our institution, we use SVDX diagnostic work station with BARCO monitors.
Tomo HD mode is an option available on this machine which allows specialized mathematical algorithms to generate a 2DSM called C-view image from the DBT data set. C-view images are similar to the corresponding FFDM done in the combo-mode, while preserving important details from the tomosynthesis slices.
2DSM makes it possible to reduce compression time from 10 to 4 seconds which eliminates the possibility of motion blurring and is more comfortable for a patient. Without adding the conventional FFDM for every case after performing DBT, it helps in the reduction of overall patient radiation dose as fewer exposures are made.[5] [6] [7]
Multiple studies support the ability of DBT with 2DSM alone, with no significant difference in recall rates, cancer detection, and overall diagnostic accuracy compared with DBT performed in combination with 2D FFDM.[2] [6] [8]
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Clinical and Imaging Implications
American College of Radiology (ACR) Breast Imaging-Reporting and Data System (BI-RADS) lexicon with revised descriptors in the fifth edition helps in the standardization of reports of breast imaging using mammography, ultrasonography, and MRI.[9]
Screening DBT, when combined with 2D DM, has been shown to improve the specificity and sensitivity of a radiology report.[10]
DBT images are valuable for identifying masses and distortions better, overcoming the effects of superimposed tissue, which can improve lesion visibility. It allows the radiologist to see the breast in greater detail and identify normal structures, and detect abnormal findings which may be indicative of early breast cancer. It has been found to have decreased the use of additional diagnostic views and reduce recall rates.[5] [7]
ACR breast density categories are described as: almost entirely fatty, scattered areas of fibroglandular density, heterogeneously dense, and extremely dense.
The common abnormalities on breast imaging are discussed and interpreted by the radiologist to make a reliable differential diagnosis and for further management of the case as required.
Mass
DBT images help to characterize the shape, margin, and density of a mass better ([Fig. 1A]).[5] [7] [8]
The morphology of lesions is often better defined at DBT indicating them as benign ([Fig. 2A], [B]) and malignant, which results in the reclassification of the shape category from the screening examination.[10] [11] Improved visualization allows defining indistinct margins of a lesion that may be obscured by superimposed fibroglandular parenchyma to suggest a suspicious mass, which may change the BI-RADS category ([Fig. 3A], [B]).
Linear structures and radiating lines are enhanced in 2DSM C-view images which makes the spiculations and architectural distortions (ADs) associated with a malignant mass seen more prominently.[5] [6]
The density of a mass is described in comparison to its appearance compared with the expected attenuation of an equal volume of fibroglandular tissue at diagnostic FFDM.[7] A mass that appears to be equal density or high density on 2D mammogram with overlapping tissue layers may appear lower in density on 1 mm tomo-slice. Fat can be visualized within masses more frequently at DBT, which can lead to possible image misinterpretation.[12] Fat density in a lesion has a negative predictive value for malignancy in 95% and in 5% of cases, malignant lesions may include fat within it. Thin tomosynthesis slices evaluated with the 2DSM image can assess the density of focal lesions better. High-density lesions are an indicator of malignancy.[9]
It is recommended that the most suspicious characteristics in the overall appearance of a mass should determine the requirement of further workup and biopsy rather than one feature alone.
Mammographic BI-RADS 4, 5, or 6 lesions should include lesion size, number of lesions, extent of disease, and presence of contralateral involvement for staging of breast cancer on mammography.[13] [14]
DBT can identify additional satellite lesions better along with primary cancer ([Fig. 4A], [B]). The presence of multifocal or multicentric disease can impact surgical management and helps in deciding for mastectomy versus breast conservation surgery (BCS).[7] [13] [14]
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Calcifications
The assessment of type and distribution of calcifications which indicate benign or suspicious categories need to be described carefully for reporting using BI-RADS.[9]
Benign coarse rounded calcifications of liponecrosis are well visualized on DBT with 2DSM and FFDM.
Calcifications with suspicious morphology include amorphous, coarse heterogeneous, fine pleomorphic, or fine linear/fine linear branching calcifications.[9] These have an increased risk for malignancy, with a high probability of up to 50% in fine pleomorphic, and 78% in fine linear or fine linear branching calcifications.[15] [16]
Diffuse (randomly distributed), regional (occupying more than 2 cm of breast tissue), grouped (few calcifications in a small area of breast tissue), linear, and segmental appear to be deposited in a duct(s). Grouped calcifications have a minimum of five calcifications within 1 cm of each other or more within 2 cm of each other.[7] [9]
The visualization of microcalcifications on tomosynthesis images is variable.17–19 The limitation is more pronounced for grouped microcalcifications as only a few microcalcifications are in focus in one thin slice. This is a drawback of thin slice tomo-images as suspicious microcalcifications may be missed.
2D C-view image allows enhanced contrast of “bright points” of calcifications that make microcalcifications more conspicuous ([Fig. 5A], [B]). This is because the reconstructed image is akin to “thick slab” maximum intensity projection image.[2] Compared with FFDM, C-view 2D images allowed better visualization of faint fine pleomorphic microcalcifications in our cases ([Fig. 6A], [B]).
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Asymmetry
Asymmetry refers to an asymmetric appearing tissue in density or appearance seen in a small area of the breast (less than one quadrant).
According to the fifth edition of the BI-RADS atlas, an asymmetry is seen on only one of the two standard mammographic views, either CC or MLO, lacks convex borders, may or may not contain interspersed fat, and occupies less than one quadrant of the breast.[10]
Global asymmetry is asymmetric breast tissue, as judged relative to the contralateral breast, occupying greater than one quadrant of the breast.[10]
Focal asymmetry has a similar appearance on both the CC and MLO views, lacks convex borders, and may or may not contain interspersed fat.[1] It is seen on 0.87% of screening mammograms and has an overall likelihood of malignancy of 0.67%.[4]
DBT can confirm true asymmetry from artifacts as it reduces the effects of tissue overlap and helps to indicate a suspicious lesion ([Fig. 7A], [B]). Breast cancer seen on tomosynthesis slices were characterized as an asymmetry or focal asymmetry in 20% cases on FFDM.[20]
The term developing asymmetry has been added to the BI-RADS fifth edition and is a focal asymmetry that was not present on the prior mammogram or has increased in size or conspicuity ([Fig. 8A], [B]).[10] The overall malignancy rate of developing asymmetries in screening and diagnostic populations was 15.4% in a study by Chesebro et al.[20] A true developing asymmetry should be considered suspicious for malignancy and Price et al recommended further workup.[21]
Additional spot compression views with tomosynthesis can also be performed for specific areas as required to show that true lesions maintain their dimensions because of the desmoplastic response of surrounding tissue in a carcinoma.[20] These findings are seen better on 2DSM as linear densities radiating from a mass are enhanced. Circumscribed margins do not, however, imply a mass as benign and individual imaging features cannot be relied upon.[7]
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Architectural Distortions
Abnormality or distortion of normal breast architecture without the identification of a discrete mass, includes spiculations radiating from a point, focal retraction, and altered pattern of the glandular tissue.[22]
The radiating lines in AD that converge to a point are seen in thin slices DBT images and are more conspicuous and are better visualized on the corresponding 2DSM images ([Fig. 9]).[2] [8]
These may appear as a primary finding in 12% of subtle breast cancers noted at DBT.[7] This finding has a high positive predictive value for cancer in approximately 60% of the cases.[23] Durand et al found that cancers seen as ADs on DBT images, were occult in 50% cases on conventional FFDM ([Fig. 10]).[22]
Radial scars ([Fig. 11]), sclerosing adenosis, and complex sclerosing lesions are considered pathologically benign but typically manifest as AD which is well identified on 2DSM with a similar appearance to that of malignancy.[22]
Distortion of normal architecture can also be caused by postprocedure scars in cases with a previous history of biopsy, lumpectomy, or mammoplasty surgery. However, suspicious findings are better appreciated on DBT slices with 2DSM with associated postoperative changes that may suggest recurrence of cancer ([Fig. 12]).
In cases of BCS, postlumpectomy patients on surveillance, findings of AD, and focal asymmetry must be biopsied to rule out malignancy ([Fig. 13A], [B]).
At times, fat necrosis may undergo fibrosis and appear as AD or focal asymmetry ([Fig. 14]).
In women with breast implants, implant-displaced DBT in standard projections of the breast can be performed. The 1 mm thin tomosynthesis slices help to visualize subtle abnormalities better and 2DSM can reveal AD and fine microcalcifications well ([Fig. 15]).
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Drawbacks and Limitations
DBT is essentially a mammographic procedure and the same contraindications and restrictions for candidates whose breasts cannot be compressed adequately or patients who cannot be positioned properly limit the performance of tomosynthesis.
Size
DBT cannot be performed for very small breasts. The average compressed breast thickness of more than 2 cm is optimal. This is a problem especially for implant-displaced views for small breasts.
Very large breasts cannot be covered in one acquisition data set. This leads to incomplete visualization of the entire breast in one projection and is a drawback for inadequate coverage for reconstructing C-view images.
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Breast Density
There is limited visualization with extremely dense fibroglandular tissue, which may obscure findings even in thin section tomo-slices. This impacts the quality of the synthesized C-view images also.
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Image Resolution
The main limitation is the resolution of synthesized 2D C-view image is lesser as compared with that for FFDM of the same breast in the respective CC or MLO projection. This also depends on the size and thickness of the compressed breast as well as the exposure factors. 2D FFDM has the highest resolution theoretically with the X-ray tube making 0-degree angle. The resolution of 2DSM images for our machine is approximately 87 to 106 μm as compared with the 2D pixel size of 70 to 76 μm for the same breast ([Fig. 16]).
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Artifacts
Tomosynthesis and 2DSM images may show significant out-of-plane artifacts, skin processing artifacts, terracing artifacts, and calcification or metal artifacts due to attenuation differences ([Fig. 17]).[24] Terracing artifacts are striated lines which are usually seen at the edges of the image perpendicular to the direction of sweep of the X-ray tube as tissue comes into the field of view on 3D projection.[24] Some of these can be corrected and others are not so significant, however, need to be recognized by the radiologist.
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Patient Radiation
Increased radiation dose to a patient with DBT is known. The dose for DM is approximately 1.2 mGy. Average increase of DBT dose compared with FFDM is 38%, and a range between 0 and 75% as published in a study by Gennaro et al[25] compared with the dose at FFDM in combo-mode is up to 2.65 mGy. The average patient dose of DBT with 2D C-view dose is 1.46 mGy, as shown in a study done on ACR phantom for our system. The additional radiation burden should not deter its use keeping the clinical benefit and advantages in diagnostic value in mind.
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Time Factor
The exposure time is longer in each projection for each breast DBT (up to 4 seconds) and increases up to 10 seconds with add-on standard FFDM exposure with the tube returning to the center after completing the arc along the scan angle.
This adds to patient discomfort with increased compression time for each view and may result in degraded images due to motion blur.
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Increased Data
The files are larger and need more disc space for archiving. More images increase the time for evaluation and interpretation. Many slices in DBT have to be read in conjunction with 2D images, that is, 2DSM and FFDM. It is important that comparison with previous studies is mentioned in the report, with BI-RADS category 0 to 6, and appropriate recommendations.
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Conclusion
The role of DBT is expanding in screening and diagnostic breast imaging with 2D C-view images being used with tomo-slices. The quality of C-view images is comparable with conventional mammography images, with enhanced visualization of ADs and microcalcifications. Technological advances contribute to improved resolution of 2DSM image resulting in an acceptable diagnostic quality. This may lead to eliminating the need for acquiring both FFDM and DBT data set during tomosynthesis-based screening and thereby reduction of overall radiation dosage. 2D reconstructed images created from DBT with 2DSM has the potential to replace conventional FFDM.[26]
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Conflict of Interest
There are no conflicts of interest.
Acknowledgments
None.
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References
- 1 Tabár L, Yen AM-F, Wu WY-Y. et al. Insights from the breast cancer screening trials: how screening affects the natural history of breast cancer and implications for evaluating service screening programs. Breast J 2015; 21 (01) 13-20
- 2 Hooley RJ, Durand MA, Philpotts LE. Advances in digital breast tomosynthesis. AJR Am J Roentgenol 2017; 208 (02) 256-266
- 3 Kolb TM, Lichy J, Newhouse JH. Comparison of the performance of screening mammography, physical examination, and breast US and evaluation of factors that influence them: an analysis of 27,825 patient evaluations. Radiology 2002; 225 (01) 165-175
- 4 Svahn TM, Houssami N, Sechopoulos I, Mattsson S. Review of radiation dose estimates in digital breast tomosynthesis relative to those in two-view full-field digital mammography. Breast 2015; 24 (02) 93-99
- 5 Skaane P, Bandos AI, Eben EB. et al. Two-view digital breast tomosynthesis screening with synthetically reconstructed projection images: comparison with digital breast tomosynthesis with full-field digital mammographic images. Radiology 2014; 271 (03) 655-663
-
6 Zuley ML, Guo B, Catullo VJ, Chough DM, Kelly AE, Lu AH, et al. Comparison of two-dimensional synthesized mammograms versus original digital mammograms alone and in combination with tomosynthesis images. Radiology 2014;271:664–677
- 7 Peppard HR, Nicholson BE, Rochman CM. Merchant JK, Mayo RC III, Harvey JA. Digital breast tomosynthesis in the diagnostic setting: indications and clinical applications. Radiographics 2015; 35 (04) 975-990
- 8 Choi JS, Han BK, Ko EY. et al. Comparison between two-dimensional synthetic mammography reconstructed from digital breast tomosynthesis and full-field digital mammography for the detection of T1 breast cancer. Eur Radiol 2016; 26 (08) 2538-2546
- 9 Sickles EA, D’Orsi CJ, Bassett LW. et al. ACR BI-RADS mammography. In: D’Orsi C, Sickles EA, Mendelson EB, Morris EA, eds. ACR BI-RADS Atlas Breast Imaging Reporting and Data System 2013. 5th ed. Reston, VA: American College of Radiology; 2013:1–175
- 10 Zuley ML, Bandos AI, Ganott MA. et al. Digital breast tomosynthesis versus supplemental diagnostic mammographic views for evaluation of noncalcified breast lesions. Radiology 2013; 266 (01) 89-95
- 11 Dang PA, Freer PE, Humphrey KL, Halpern EF, Rafferty EA. Addition of tomosynthesis to conventional digital mammography: effect on image interpretation time of screening examinations. Radiology 2014; 270 (01) 49-56
- 12 Freer PE, Wang JL, Rafferty EA. Digital breast tomosynthesis in the analysis of fat-containing lesions. Radiographics 2014; 34 (02) 343-358
- 13 Mun HS, Kim HH, Shin HJ. et al. Assessment of extent of breast cancer: comparison between digital breast tomosynthesis and full-field digital mammography. Clin Radiol 2013; 68 (12) 1254-1259
- 14 Luparia A, Mariscotti G, Durando M. et al. Accuracy of tumour size assessment in the preoperative staging of breast cancer: comparison of digital mammography, tomosynthesis, ultrasound and MRI. Radiol Med (Torino 2013; 118 (07) 1119-1136
- 15 Rominger M, Wisgickl C, Timmesfeld N. Breast microcalcifications as type descriptors to stratify risk of malignancy: a systematic review and meta-analysis of 10665 cases with special focus on round/punctate microcalcifications. Röfo Fortschr Geb Röntgenstr Nuklearmed 2012; 184 (12) 1144-1152
- 16 Rao AA, Feneis J, Lalonde C, Ojeda-Fournier H. A pictorial review of changes in the BI-RADS: fifth edition. Radiographics 2016; 36: 623-639
- 17 Destounis SV, Arieno AL, Morgan RC. Preliminary clinical experience with digital breast tomosynthesis in the visualization of breast microcalcifications. J Clin Imaging Sci 2013; 3: 65
- 18 Spangler ML, Zuley ML, Sumkin JH. et al. Detection and classification of calcifications on digital breast tomosynthesis and 2D digital mammography: a comparison. AJR Am J Roentgenol 2011; 196 (02) 320-324
- 19 Kopans D, Gavenonis S, Halpern E, Moore R. Calcifications in the breast and digital breast tomosynthesis. Breast J 2011; 17 (06) 638-644
- 20 Chesebro AL, Winkler NS, Birdwell RL, Giess CS. Developing asymmetries at mammography: a multimodality approach to assessment and management. Radiographics 2016; 36 (02) 322-334
- 21 Price ER, Joe BN, Sickles EA. The developing asymmetry: revisiting a perceptual and diagnostic challenge. Radiology 2015; 274 (03) 642-651
- 22 Durand MA, Wang S, Hooley RJ, Raghu M, Philpotts LE. Tomosynthesis-detected architectural distortion: management algorithm with radiologic-pathologic correlation. Radiographics 2016; 36 (02) 311-321
- 23 Harvey JA, March DE. Making the Diagnosis: A Practical Guide to Breast Imaging. Philadelphia, PA: Elsevier Saunders 2013
- 24 Geiser WR, Einstein SA, Yang W-T. Artifacts in digital breast tomosynthesis. AJR Am J Roentgenol 2018; 211 (04) 926-932
- 25 Gennaro G, Bernardi D, Houssami N. Radiation dose with digital breast tomosynthesis compared to digital mammography: per-view analysis. Eur Radiol 2018; 28 (02) 573-581
- 26 Choi Y, Woo O-H, Shin H-S, Cho KR, Seo BK, Choi G-Y. Quantitative analysis of radiation dosage and image quality between digital breast tomosynthesis (DBT) with two-dimensional synthetic mammography and full-field digital mammography (FFDM. Clin Imaging 2019; 55: 12-17
Address for correspondence
Publication History
Article published online:
23 August 2021
© 2021. Indian Radiological Association. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial-License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/).
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References
- 1 Tabár L, Yen AM-F, Wu WY-Y. et al. Insights from the breast cancer screening trials: how screening affects the natural history of breast cancer and implications for evaluating service screening programs. Breast J 2015; 21 (01) 13-20
- 2 Hooley RJ, Durand MA, Philpotts LE. Advances in digital breast tomosynthesis. AJR Am J Roentgenol 2017; 208 (02) 256-266
- 3 Kolb TM, Lichy J, Newhouse JH. Comparison of the performance of screening mammography, physical examination, and breast US and evaluation of factors that influence them: an analysis of 27,825 patient evaluations. Radiology 2002; 225 (01) 165-175
- 4 Svahn TM, Houssami N, Sechopoulos I, Mattsson S. Review of radiation dose estimates in digital breast tomosynthesis relative to those in two-view full-field digital mammography. Breast 2015; 24 (02) 93-99
- 5 Skaane P, Bandos AI, Eben EB. et al. Two-view digital breast tomosynthesis screening with synthetically reconstructed projection images: comparison with digital breast tomosynthesis with full-field digital mammographic images. Radiology 2014; 271 (03) 655-663
-
6 Zuley ML, Guo B, Catullo VJ, Chough DM, Kelly AE, Lu AH, et al. Comparison of two-dimensional synthesized mammograms versus original digital mammograms alone and in combination with tomosynthesis images. Radiology 2014;271:664–677
- 7 Peppard HR, Nicholson BE, Rochman CM. Merchant JK, Mayo RC III, Harvey JA. Digital breast tomosynthesis in the diagnostic setting: indications and clinical applications. Radiographics 2015; 35 (04) 975-990
- 8 Choi JS, Han BK, Ko EY. et al. Comparison between two-dimensional synthetic mammography reconstructed from digital breast tomosynthesis and full-field digital mammography for the detection of T1 breast cancer. Eur Radiol 2016; 26 (08) 2538-2546
- 9 Sickles EA, D’Orsi CJ, Bassett LW. et al. ACR BI-RADS mammography. In: D’Orsi C, Sickles EA, Mendelson EB, Morris EA, eds. ACR BI-RADS Atlas Breast Imaging Reporting and Data System 2013. 5th ed. Reston, VA: American College of Radiology; 2013:1–175
- 10 Zuley ML, Bandos AI, Ganott MA. et al. Digital breast tomosynthesis versus supplemental diagnostic mammographic views for evaluation of noncalcified breast lesions. Radiology 2013; 266 (01) 89-95
- 11 Dang PA, Freer PE, Humphrey KL, Halpern EF, Rafferty EA. Addition of tomosynthesis to conventional digital mammography: effect on image interpretation time of screening examinations. Radiology 2014; 270 (01) 49-56
- 12 Freer PE, Wang JL, Rafferty EA. Digital breast tomosynthesis in the analysis of fat-containing lesions. Radiographics 2014; 34 (02) 343-358
- 13 Mun HS, Kim HH, Shin HJ. et al. Assessment of extent of breast cancer: comparison between digital breast tomosynthesis and full-field digital mammography. Clin Radiol 2013; 68 (12) 1254-1259
- 14 Luparia A, Mariscotti G, Durando M. et al. Accuracy of tumour size assessment in the preoperative staging of breast cancer: comparison of digital mammography, tomosynthesis, ultrasound and MRI. Radiol Med (Torino 2013; 118 (07) 1119-1136
- 15 Rominger M, Wisgickl C, Timmesfeld N. Breast microcalcifications as type descriptors to stratify risk of malignancy: a systematic review and meta-analysis of 10665 cases with special focus on round/punctate microcalcifications. Röfo Fortschr Geb Röntgenstr Nuklearmed 2012; 184 (12) 1144-1152
- 16 Rao AA, Feneis J, Lalonde C, Ojeda-Fournier H. A pictorial review of changes in the BI-RADS: fifth edition. Radiographics 2016; 36: 623-639
- 17 Destounis SV, Arieno AL, Morgan RC. Preliminary clinical experience with digital breast tomosynthesis in the visualization of breast microcalcifications. J Clin Imaging Sci 2013; 3: 65
- 18 Spangler ML, Zuley ML, Sumkin JH. et al. Detection and classification of calcifications on digital breast tomosynthesis and 2D digital mammography: a comparison. AJR Am J Roentgenol 2011; 196 (02) 320-324
- 19 Kopans D, Gavenonis S, Halpern E, Moore R. Calcifications in the breast and digital breast tomosynthesis. Breast J 2011; 17 (06) 638-644
- 20 Chesebro AL, Winkler NS, Birdwell RL, Giess CS. Developing asymmetries at mammography: a multimodality approach to assessment and management. Radiographics 2016; 36 (02) 322-334
- 21 Price ER, Joe BN, Sickles EA. The developing asymmetry: revisiting a perceptual and diagnostic challenge. Radiology 2015; 274 (03) 642-651
- 22 Durand MA, Wang S, Hooley RJ, Raghu M, Philpotts LE. Tomosynthesis-detected architectural distortion: management algorithm with radiologic-pathologic correlation. Radiographics 2016; 36 (02) 311-321
- 23 Harvey JA, March DE. Making the Diagnosis: A Practical Guide to Breast Imaging. Philadelphia, PA: Elsevier Saunders 2013
- 24 Geiser WR, Einstein SA, Yang W-T. Artifacts in digital breast tomosynthesis. AJR Am J Roentgenol 2018; 211 (04) 926-932
- 25 Gennaro G, Bernardi D, Houssami N. Radiation dose with digital breast tomosynthesis compared to digital mammography: per-view analysis. Eur Radiol 2018; 28 (02) 573-581
- 26 Choi Y, Woo O-H, Shin H-S, Cho KR, Seo BK, Choi G-Y. Quantitative analysis of radiation dosage and image quality between digital breast tomosynthesis (DBT) with two-dimensional synthetic mammography and full-field digital mammography (FFDM. Clin Imaging 2019; 55: 12-17