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1From the Division of Breast Imaging, Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 3400 Spruce St, 1 Silverstein, Philadelphia, PA 19104.
1From the Division of Breast Imaging, Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 3400 Spruce St, 1 Silverstein, Philadelphia, PA 19104.
1From the Division of Breast Imaging, Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 3400 Spruce St, 1 Silverstein, Philadelphia, PA 19104.
1From the Division of Breast Imaging, Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 3400 Spruce St, 1 Silverstein, Philadelphia, PA 19104.
1From the Division of Breast Imaging, Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 3400 Spruce St, 1 Silverstein, Philadelphia, PA 19104.
✉
Address correspondence to K.E.K. (e-mail: Katrina.korhonen@uphs.upenn.edu).
✉
Corresponding author.
Received 2016 Mar 7; Revision requested 2016 Jun 6; Revised 2016 Jul 8; Accepted 2016 Jul 29; Issue date 2016 Nov.
2016 by the Radiological Society of North America, Inc.
Although digital breast tomosynthesis improves breast cancer detection, it is critical for radiologists to be cognizant of differences in cancer conspicuity both within the modality itself and between mammographic views; understanding differences in lesion conspicuity and learning strategies to reduce diagnostic errors can help readers improve the clinical outcomes of imaging with DBT.
Abstract
Digital breast tomosynthesis (DBT) represents a valuable addition to breast cancer screening by decreasing recall rates while increasing cancer detection rates. The increased accuracy achieved with DBT is due to the quasi–three-dimensional format of the reconstructed images and the ability to “scroll through” breast tissue in the reconstructed images, thereby reducing the effect of tissue superimposition found with conventional planar digital mammography. The margins of both benign and malignant lesions are more conspicuous at DBT, which allows improved lesion characterization, increased reader confidence, and improved screening outcomes. However, even with the improvements in accuracy achieved with DBT, there remain differences in breast cancer conspicuity by mammographic view. Early data suggest that breast cancers may be more conspicuous on craniocaudal (CC) views than on mediolateral oblique (MLO) views. While some very laterally located breast cancers may be visualized on only the MLO view, the increased conspicuity of cancers on the CC view compared with the MLO view suggests that DBT screening should be performed with two-view imaging. Even with the improved conspicuity of lesions at DBT, there may still be false-negative studies. Subtle lesions seen on only one view may be discounted, and dense and/or complex tissue patterns may make some cancers occult or extremely difficult to detect. Therefore, radiologists should be cognizant of both perceptual and cognitive errors to avoid potential pitfalls in lesion detection and characterization.
After completing this journal-based SA-CME activity, participants will be able to:
■ Describe differences in cancer conspicuity between DBT and DM, by modality as well as by mammographic view.
■ Discuss strategies for improving detection of lesions seen better or only on one DBT view.
■ Identify sources of false-negative findings at DBT.
Introduction
Screening mammography, despite ongoing controversy regarding its risk-to-benefit ratio, remains the mainstay of early breast cancer detection, with routine screening shown to reduce breast cancer mortality by up to 30% (1). Digital breast tomosynthesis (DBT) is rapidly being implemented in breast clinics as the “better mammogram” because it addresses some of the limitations of conventional two-dimensional mammography by alleviating the effect of superimposed structures that lead to both false-positive and false-negative results at breast cancer screening (2–13).
In the largest prospective clinical screening trial that compared digital mammography (DM) alone to combined DM and DBT in 12 631 patients, Skaane et al (4) demonstrated a 15% reduction in recall rate and a 27% increase in cancer detection rate, with a 40% increase in detection of invasive cancers. Similar findings were reported by Friedewald et al (5), who demonstrated a 15% reduction in recall rate and a 29% increase in cancer detection rate when DBT was used in conjunction with DM and compared with DM screening alone. These benefits have been shown to be achievable across all breast densities but appear to be especially large in women younger than 50 years (6,7). In addition, Margolies et al (8) found that DBT significantly changed management in women with dense breasts (13% of cases) compared with women with less dense breasts (9% of cases) (P = .03). More recently, McDonald et al (14) have shown that improvements in screening outcomes with DBT were sustainable over consecutive years of screening in an entire clinic population.
Several studies have demonstrated that DBT results in increased radiologist performance, regardless of an individual’s experience with the modality. Alakhras et al (15) found that radiologist performance was significantly better with combined DBT and DM than with DM alone, regardless of the reader’s experience with the modality, and Thomassin-Naggara et al (16) reported increased sensitivity and improved negative predictive value when one-view DBT was added to DM and compared with DM alone, noting that the benefit was greatest for radiologists less experienced with the modality.
Cancer Conspicuity and Detection at DBT
Several studies have described the increased conspicuity of breast cancers at DBT compared with DM. Andersson et al (17) evaluated the conspicuity of 40 breast cancers at one-view DBT compared with one- and two-view DM and reported that cancers were significantly more conspicuous at one-view DBT (P < .01) and that one-view DBT resulted in a significant increase in Breast Imaging Reporting and Data System (BI-RADS) category upgrades compared with both one- and two-view DM (P < .01 for both). In a study of 199 screening-detected cancers in patients undergoing concurrent DBT and DM, Korhonen et al (18) reported that cancers were more conspicuous on the DBT images than in the DM portion of the study when evaluating the modalities as a whole, as well as when compared by view—the craniocaudal (CC) and mediolateral oblique (MLO) views of each modality (P < .001 for all). In addition, the authors reported that 8.27% of invasive breast cancers were seen at DBT only and not at DM, with only 0.47% of cancers seen at DM alone.
Many factors contribute to an abnormality being seen at DBT only and not at DM. In a series of 268 consecutive BI-RADS category 4 or 5 screening-detected lesions, Ray et al (19) reported that 7% (19 of 268) of lesions were seen at DBT only and were occult at DM, of which 63% occurred in women with heterogeneously dense or extremely dense breasts. Architectural distortion accounted for 74% of the DM-occult lesions, while masses accounted for 26%. Of the 19 lesions seen at DBT only, 53% (10 of 19) were found to be invasive breast cancers, while 70% were invasive lobular carcinomas and 30% were invasive ductal carcinomas (19). Similarly, Partyka et al (20) reviewed 9982 combined DM and DBT screening examinations and showed that of the 26 cases of architectural distortion, 73% (19 of 26) were seen at DBT only, with six of seven of the remaining cases of architectural distortion seen significantly better at DBT compared with DM. Of the cases of architectural distortion seen at DBT only, 21% (four of 19) were breast cancers.
As such, DBT appears to be particularly useful in detection of lesions with architectural distortion that are occult at conventional imaging (Figs 1, 2). Although architectural distortion is only the third most common mammographic manifestation of nonpalpable breast cancer, it is estimated to account for 12%–45% of cases of missed breast cancer (20,21). Burrell et al (22) have reported that architectural distortion also is the most commonly missed mammographic abnormality on false-negative screening studies.
Differences in Conspicuity by View
The additional cancer detection achieved with DBT screening is well recognized; however, the conspicuity of lesions on each specific view is not well defined. Beck et al (23), in a study of 115 malignant lesions, found that 35% of cancers were seen better or only on the DBT
CC view, whereas only 11% of cancers were seen better or only on the DBT
MLO view. Similarly, in a study by Rafferty et al (24) of 34 mixed benign and malignant lesions seen at DBT, 15% of lesions were seen better on the DBT
CC view. In addition, Korhonen et al (18), in a reader study reviewing 199 breast cancers imaged with combination DM and DBT screening, reported that cancers were significantly more conspicuous on the CC view than the MLO view at both DM and DBT (P < .001) (Fig 3).
Although there are many potential nonmalignant causes of suspicious findings seen on only one mammographic view, the possibility of malignancy should always be considered because several studies suggest that some subtle breast cancers may be detected on only one view (18,23,24). Potential causes of abnormalities seen on only one view include pseudolesions caused by summation artifacts from overlapping tissues, differences in breast compression due to positioning or nonuniformity of breast tissue, or lesions that are included in the field of view on only one view. For example, the axillary tail of the breast is more optimally viewed on the MLO view than the CC view, but the inferior medial breast is less well seen on MLO views. Portions of the breast high on the chest wall, as well as the most lateral portions of the breast, are less well seen on CC views (25). A review of 2023 one-view–only abnormalities at screening DM by Sickles (26) revealed that 82.7% of the abnormalities were due to summation artifact; however, 36 of the lesions (1.8%) were found to represent malignancies. Because the quasi–three-dimensional format of DBT reduces the confounding effect of tissue superimposition, aiding in visualization and characterization of both benign and malignant breast lesions, malignancy should always be a diagnostic consideration for abnormalities seen better or only on one view at DBT. Careful attention to the quasi–three-dimensional information provided on the DBT image set allows triangulation of subtle one-view–only lesions so that targeted diagnostic imaging is possible. Several studies estimate that 7%–9% of breast cancers are seen on only one view at DBT, while 5%–6% of breast cancers are seen on only the CC view at DBT (18,23,24). If a cancer is visible on only one view, it is more likely to be visible on the CC view than the MLO view (Fig 4).
Despite evidence that cancers may be seen on only one view, recent studies have explored the use of imaging with one-view–only MLO
DBT (27–29). Lång et al (27) reported that the cancer detection rate at one-view MLO
DBT was significantly better than at two-view DM (8.9 per 1000 vs 6.3 per 1000) and suggested that one-view MLO
DBT could be a feasible stand-alone screening modality without DM. Gennaro et al (28) found that one-view MLO
DBT in combination with CC
DM was superior to two-view DM for both lesion detection and characterization (overall and for benign lesions) and was noninferior to two-view DM for cancer detection and characterization of malignant lesions. Haq et al (29) argued against the use of second-view DBT in their study because of concerns regarding radiation dose. However, their study evaluated DBT as an alternative to spot-compression views because their patients all had an abnormality seen on one view at DM, with two-view DBT only used to determine if the abnormality seen at DM was seen at same-view DBT, orthogonal-view DBT, neither, or both.
Screening with DBT improves breast cancer detection. However, not all cancers are easily detected, and some lesions may be visible on only one view at two-view DBT. Therefore, suspicious lesions seen on only one view should be thoroughly evaluated.
Interval Cancers
An interval cancer is defined as a symptomatic breast cancer diagnosed in a woman within 1 year of a negative screening mammogram (30). Although false-negative studies represent an unfortunate yet expected component of any breast cancer screening program, interval cancers are associated with less-favorable tumor characteristics as well as less-favorable survival rates compared with screening-detected cancers (31). Therefore, continued review of interval cancers is crucial to any practice, as the rate of interval cancers reflects the efficacy of the screening program as well as a valuable opportunity for improving health care quality. In a study of 231 false-negative cancer screenings, Hofvind et al (31) characterized the cancers into one of three categories: (a) “missed” interval cancers (35% of cases), in which the cancer was clearly present at screening mammography and the patient should have been recalled; (b) “minimal sign” interval cancers (23% of cases), in which subtle or slowly developing signs of cancer were present at screening mammography and the requirement for recall was not obvious; or (c) “true negative” interval cancers (42% of cases), in which the cancer was not present at screening mammography. The authors reported a rate of 1.9 interval cancers for every 1000 patients screened, noting that interval cancer was defined in this study as a cancer manifesting either symptomatically (true interval cancers) or asymptomatically (false negatives) between routine 2-year screening intervals.
Although less is known regarding the interval cancer rate for DBT, there are three studies that have early follow-up data to begin investigation of the interval cancer rate (4,14,32). In Skaane et al’s (4) interval analysis of the first 12 621 subjects screened in a multiarm prospective trial with only 9 months of follow-up, there were three known interval cancers, for a rate of 0.2 per 1000 screened. In the STORM (Screening with Tomosynthesis or Standard Mammography) multiarm reader trial, with a minimum of 13 months of follow-up, the interval cancer rate was 0.82 per 1000 screenings for both the DM and DBT reading arms (each arm had readings under both modalities yet was randomized, so that a comparison of interval cancer between modalities is not possible) (32). In a recent study reporting 3 consecutive years of DBT screening, the interval cancer rate for DBT in year 1 was 0.5, versus 0.7 per 1000 screened for the comparison prior year of DM screening (14).
In the next sections, we explore sources of error in mammographic breast cancer detection to better understand potential pitfalls and identify potential pearls useful at DBT screening.
Error Categorization
Broadly speaking, errors in diagnostic radiology can be categorized as either perceptual errors or cognitive (interpretive) errors, with perceptual errors considerably more common and estimated to account for approximately 60%–80% of diagnostic radiology errors (33,34). Awareness of potential causes of perceptual and interpretive errors can decrease false-negative interpretations. Perceptual errors occur when an abnormality is determined to have been present in retrospect but was not detected prospectively. Several factors contribute to perceptual errors, including poor lesion conspicuity, subtle or atypical manifestations of cancer, the “satisfaction of search” phenomenon, radiologist fatigue, and workplace distractions or interruptions. In the case of perceptual errors, the lesion is not even detected.
Technical factors, such as those related to poor patient positioning or poor breast compression, can contribute to decreased lesion conspicuity. In addition, the location of an abnormality can contribute to decreased lesion conspicuity, particularly for lesions located at the edge of the field of view or at the edge of an image. It is well known that the potential for perceptual errors, both false positive and false negative, is increased in women with dense or complex breast patterns because subtle abnormalities may be obscured by superimposed breast tissue or may be difficult to detect in the setting of busy confounding background breast parenchyma (Fig 5).
The satisfaction of search phenomenon represents an additional source of perceptual errors (Fig 6). This occurs when a second abnormality is missed after the reader becomes content after finding an initial abnormality—either benign or malignant. Frequently, these errors occur when readers deviate from their normal search pattern because of the distraction from the detected abnormality. Strategies to reduce perceptual error include minimizing interruptions, working in a quiet environment, and diligently following search patterns to avoid a satisfaction of search error or missing subtle abnormalities seen at only the edge of the image (33,34).
Conversely, cognitive errors occur when an abnormality is prospectively identified at the initial image interpretation but its significance is incorrectly understood, resulting in an incorrect diagnosis (33,34). Factors contributing to cognitive errors include lack of knowledge, bias on the part of the radiologist, and incorrect or misleading clinical information (Fig 7) (33). For example, a stable or very slowly growing lesion over time could be attributed to a benign cause secondary to the lack of change when compared with prior studies (Fig 8). Similarly, a suspicious finding at the site of a prior biopsy could be incorrectly attributed to postsurgical change rather than malignancy (Fig 9). Strategies to reduce cognitive errors include careful side-to-side comparison with multiple prior studies as well as careful attention to the patient’s known clinical history. For example, the imaging appearance of postbiopsy changes after a remote breast biopsy should not change over time, and the location of the patient’s scar should always be confirmed before attributing an abnormality to secondary biopsy-related change.
Cancers Not Seen at DBT
Although the false-negative rate of DBT screening is less than that of screening with DM alone (14), some cancers are still difficult to detect or nondetectable with DBT.
DBT remains an anatomic study without the physiologic information that can be provided by contrast-enhanced imaging modalities such as MR imaging. In our practice, we have encountered several cases of breast cancer that were occult at both DM and DBT imaging but visible at either US or MR imaging (Figs 10, 11). Dense or complex breast parenchymal patterns, subtle or atypical symptoms of breast cancer at presentation, and a lack of secondary signs of malignancy contribute to some breast cancers being occult or missed at DBT.
In addition, although some of these cases occurred in high-risk women undergoing routine surveillance with MR imaging, other cases occurred in women with few or no risk factors who presented with symptoms such as bloody nipple discharge after negative DM and DBT screening. Because not all cancers can be detected at DBT, the patient’s personal breast cancer risk level and clinical symptoms should always guide management. For example, women who present with signs or symptoms of breast cancer should be thoroughly evaluated with multimodality breast imaging, including US and/or MR imaging. In addition, women at high risk for development of breast cancer (ie, BRCA mutation carriers, women with a lifetime risk greater than 20%) should consider supplemental screening with breast MR imaging (35).
Conclusion
DBT represents an important advancement in breast cancer screening. Although cancers are more conspicuous at DBT than at DM, there remain differences in breast cancer conspicuity between mammographic views, with cancer conspicuity improved on the CC view compared with the MLO view. In addition, although cancers may be seen better on one view, we have found several cancers in our practice that were seen on only one view, which suggests a valuable role of two-view DBT in screening.
Although DBT represents a valuable imaging tool, some cancers may be difficult to impossible to detect, and being cognizant of the most common pitfalls in image interpretation as well as of technologic limitations will improve clinical outcomes. Although diagnostic errors cannot be totally eliminated, strategies to limit errors should be incorporated into everyday clinical practice. These strategies include full utilization of the quasi–three-dimensional information included in the DBT image set, adherence to consistent search patterns, avoidance of distractions while reading images, careful comparison with multiple prior studies, and careful attention to the patient’s clinical history.
Recipient of a Magna Cum Laude award for an education exhibit at the 2015 RSNA Annual Meeting.
For this journal-based SA-CME activity, the author E.F.C. has provided disclosures (see “Disclosures of Conflicts of Interest”); all other authors, the editor, and the reviewers have disclosed no relevant relationships.
Supported by the National Institutes of Health Penn Center for Innovation in Personalized Breast Screening (U54CA163313).
Disclosures of Conflicts of Interest.—:E.F.C.Activities related to the present article: disclosed no relevant relationships. Activities not related to the present article: personal fees from Hologic and Siemens Healthineers. Other activities: disclosed no relevant relationships.
Abbreviations:
BI-RADS
Breast Imaging Reporting and Data System
CC
craniocaudal
DBT
digital breast tomosynthesis
DM
digital mammography
MIP
maximum intensity projection
MLO
mediolateral oblique
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