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. Author manuscript; available in PMC: 2019 Oct 1.
Published in final edited form as: Semin Roentgenol. 2018 Aug 30;53(4):261–269. doi: 10.1053/j.ro.2018.08.006

Advances in Breast MRI in the setting of Ductal Carcinoma in situ

Nita Amornsiripanitch 1, Diana L Lam 2, Habib Rahbar 2
PMCID: PMC6537897  NIHMSID: NIHMS1022594  PMID: 30449344

Abstract

Ductal carcinoma in situ (DCIS) of the breast is a pre-invasive breast malignancy with controversial clinical relevance and management. These lesions have increased in incidence with breast cancer screening programs and are associated with increasingly recognized clinical issues of overdiagnosis and overtreatment. This article discusses the imaging presentation of these lesions with emphasis on advances in breast MRI and its role in the management of DCIS.

Keywords: Breast cancer screening, overdiagnosis, overtreatment, precision diagnostics, individualized therapy

Introduction

Ductal carcinoma in situ (DCIS) is a pre-invasive breast cancer that is often diagnosed as a result of abnormal screening mammography. With the widespread implementation of screening programs in the United States, the rate of DCIS diagnoses has increased from 2.4 to 27.7 per 100,000 women between 1981–200113. Despite DCIS lacking the potential to metastasize, it currently is treated aggressively, with nearly all patients undergoing either breast conserving surgery with radiation or mastectomy, often with adjuvant hormonal therapy. This treatment approach is due the heterogeneous biological behavior DCIS exhibits, which cannot be predicted accurately with current pathological and clinical markers. Although detection of DCIS was once thought to be the key to invasive breast cancer detection, current oncology opinions have shifted to implicate DCIS as the main driver of breast cancer overdiagnosis and overtreatment4,5. This article reviews the presentation and epidemiology of DCIS, its multimodality imaging features, current management, and opportunities for advanced imaging in guiding DCIS management.

DCIS Presentations and Epidemiology

In the late 1970s and early 1980s, before widespread implementation of mammographic screening, the incidence of DCIS in the United States was reported to be 2.4 per 100,000 women3, comprising only 2.1% of all breast malignancies6. A recent study performed on an unscreened population in Cape Town, South Africa, reported a similarly low percentage of pure DCIS (1.1%) among all detected breast cancers7. In unscreened populations, DCIS most often presents as a palpable concern, followed by nipple discharge, and Paget’s disease of the nipple8.

In contrast, the incidence of DCIS has now risen to 27.7 per 100,000 3, representing 21% of all diagnosed breast malignancies9. Once often detected clinically, DCIS is now more commonly detected on routine mammographic screening8. It is important to note, however, that the number of invasive breast cancers detected by implementation of screening mammography still far outweighs the number of detected pure DCIS9. Furthermore, the proportion of high grade DCIS, which is thought to have a higher upgrade rate on surgical excision and a shorter average time to progression to invasive disease if left untreated, has, in fact, increased since implementation of mammographic screening8.

DCIS detected today is rare before the age of 35, and incidence peaks in the 7th-8th decade of life. Most screen detected DCIS are small (<15 mm). Risk factors for developing DCIS--similar to those for invasive breast cancer--include dense breasts, nulliparity, personal history of atypical ductal or lobular hyperplasia, family history, and BRCA 1 and 2 genetic mutations. Increased body mass index and use of hormone replacement therapy are also suggested as possible but indefinite risk factors2,9.

DCIS Pathologic Descriptions and Risk Stratification Tools

In the prevailing theory of breast cancer pathogenesis, DCIS represents the most biologically aggressive lesion in a spectrum of intraductal proliferations10 and is a non-obligate precursor to invasive breast cancer. Traditional pathologic classification of DCIS describes DCIS features as one of five architectural patterns (Figure 1)11; however, this descriptive classification has not been found to provide prognostic information useful for guiding management. Subsequently, various histopathological classification systems have been developed based on nuclear grade, presence of necrosis, and cellular dedifferentiation, which have been found to correlate with clinical outcomes such as risk of ipsilateral breast recurrence after treatment better than traditional methods12. One commonly used system is the Van Nuys Pathologic Classification (VNPC, Figure 2), which combines nuclear grade and comedonecrosis to aid in determining the risk of a DCIS lesion to progress to invasive disease and recur in the ipsilateral breast after treatment13,14. However, in most cases, these pathologic assessments still do not provide enough prognostic value to be relied upon for treatment decision-making, even when combined with other clinical features such as lesion size and surgical margins (e.g. Van Nuys Prognostic Index and Memorial Sloan Kettering Cancer Center DCIS Nomogram)1518.

Figure. 1 –

Figure. 1 –

Traditional Pathologic Classification of DCIS. This includes 5 types (comedo, solid, cribriform, papillary, and micropapillary) based on architectural pattern.

Figure. 2 –

Figure. 2 –

Van Nuys Pathologic Classification. This system stratifies DCIS into two major groups – non-high and high nuclear grade, with the non-high grade divided based based on the presense of comedonecrosis. (color image)

Several newer pathology markers13,19 and a tissue-based multigene assay have been developed and may aid in determining risk of DCIS recurrence (Table 1)20,21. In particular, a 12 gene assay, Oncotype DX-DCIS, has been developed to quantify the 10-year risk of local recurrence after therapy. This scoring system has been proposed to help identify DCIS at low risk of recurrence, which may not require radiation therapy21. However, its high cost (~$4,000) and lack of validation in a broad spectrum of DCIS lesion size and pathologic features have limited its use in clinical practice to date. Fortunately, the use of this tool in conjunction with breast MRI is being evaluated further in an ongoing clinical trial (Eastern Cooperative Oncology Group (ECOG)-American College of Radiology Imaging Network (ACRIN) trial E4112)22.

Table 1–

Pathologic Biomarkers for use in improving DCIS risk stratification

Biomarker Indicator
Ki-67 Proliferation
CD34 Angiogenesis
CD68 Inflammation
ER/PR Hormone receptor
Her2/neu Epidermal growth factor receptor
COX-2 Inflammation

Imaging Features of DCIS

Currently, greater than 90% of DCIS lesions are detected on imaging alone through screening mammography and screening breast MRI. Ultrasound generally has been considered less effective for DCIS detection because of its low sensitivity for identification of microcalcifications23, and is generally better suited for characterization of invasive breast cancer2427.

Mammography

The most common mammographic imaging presentation of DCIS is that of microcalcifications, which can be seen in approximately 50–75% of cases28. When DCIS does present mammographically as a mass without associated calcifications, such lesions are more likely to be lower grade1. Fine-linear and pleomorphic calcifications in a linear or segmental distribution without an associated mass account for the most classic presentation of DCIS on mammography; however, many DCIS lesions present as more equivocal calcifications and can overlap with the appearance of nonmalignant pathologies such as sclerosing adenosis, fibroadenomatoid change, and atypical ductal hyperplasia, the latter of which is a high-risk lesion closely resembling low grade DCIS on pathology. Various morphologies of calcifications that reflect DCIS are illustrated in Figure 3. In general, the mammographic appearance of calcifications has not proven to be reliably useful for determining DCIS biological behavior or treatment outcomes. One exception is the correlation of fine-linear or fine-linear branching calcifications with DCIS exhibiting comedonecrosis and high nuclear grade (Figure 4) on pathologic assessment; such lesions are associated with higher risk of DCIS recurrence after surgery29.

Figure 3.

Figure 3.

Different morphologies of DCIS presenting as calcifications. Group of punctate (a) and group of amorphous (b) calcifications. Biopsy revealed low grade DCIS. Group of coarse heterogeneous (c) and pleomorphic (d) calcifications. Biopsy revealed high grade DCIS.

Figure 4.

Figure 4.

Segmental fine pleomorphic and fine linear branching calcifications. Biopsy revealed high grade DCIS. Fine linear and fine linear-branching calcifications are often seen in high nuclear grade lesions with comedonecrosis.

Ultrasound

The primary use of ultrasound in the setting of calcified DCIS is to further assess for a mass, which may indicate the presence of an associated invasive component. Ultrasound may also be used to guide biopsy, as ultrasound guided biopsy is often less costly, more readily available, and does not necessitate ionizing radiation. Features that increase the likelihood of sonographic visibility includes mammographic size greater than 10 mm, high density of calcifications and segmental distribution30. While some advocate for targeted ultrasound to be performed regularly to further evaluate pure suspicious mammographic calcifications31, this practice is not uniform across institutions.

Ultrasound plays a more prominent role for a minority of non-calcified DCIS. Mammographic appearances of non-calcified DCIS range from mass, asymmetry, to mammographically occult, and non-calcified DCIS are also more liking to present symptomatically32. In these settings, sonographic visibility is suggested to be as high as 88%33. The most common sonographic appearance of DCIS is mass (44 – 72%), with a wide range of shapes and margins, followed by microcalcifications, ductal changes, and architectural distortion (Figure 5)31,3335. Similar to trends seen in mammography, DCIS appearing as masses on ultrasound have been associated with low-intermediate grade34, whereas those appearing as microcalcifications on ultrasound have been associated with high grade3335.

Figure 5.

Figure 5.

Sonographic appearances of DCIS. Oval, hypoechoic mass with circumscribed margins with no specific posterior acoustic features (a). Biopsy revealed intermediate grade DCIS. Irregular mass with indistinct margins and echogenic foci consistent with calcifications (b). Biopsy revealed DCIS with microinvasion. Dilated ducts with debris and echogenic foci consistent with calcifications in a 39 year old women with suspicious nipple discharge (c). Biopsy revealed high grade DCIS.

MRI

Breast MRI was initially considered to be relatively poor for DCIS evaluation, with high false-negative rates due to its inability to identify microcalcifications36. However, as MRI techniques shifted from an emphasis on high temporal resolution to high spatial resolution, morphologic features such as non-mass enhancement that commonly represent DCIS on MRI were recognized37. Multiple studies have since shown the superiority of MRI over mammography for DCIS detection (sensitivity 92% versus 56% respectively) and determination of DCIS extent of disease38,39. Interestingly, MRI also identifies a greater fraction of high nuclear grade lesions when compared to mammography40, and one study has identified an imaging model utilizing dynamic contrast enhanced (DCE) and diffusion weighted imaging (DWI) features that may identify high nuclear grade DCIS lesions in vivo41.

DCIS most commonly presents on breast MRI as segmental or linear non-mass enhancement (NME) with clumped internal enhancement morphology, accounting for 60–80% of DCIS lesions visible on MRI4244. However, NME is not specific for DCIS, as benign proliferative pathology (including fibrocystic changes and pseudoangiomatous stromal hyperplasia), invasive breast cancer (both ductal and lobular phenotypes), and even normal tissue (asymmetric physiologic background parenchymal enhancement) can present as suspicious NME. Less common presentations of DCIS on MRI include enhancing masses (14–34%) and foci of enhancement (1–12%) (Figure 6)4244. The enhancement characteristics of DCIS and invasive carcinomas are based on tumor angiogenesis, with abnormal periductal or stromal vascularity, which may be due to disruption in the myoepithelial cells (which secrete angiogenesis inhibitors) that line the duct1,45.

Figure 6.

Figure 6.

MRI appearances of DCIS. Axial T1-weighted fat-suppressed subtraction image (a) shows segmental non-mass enhancement with clumped internal enhancement. Pathology confirmed extensive high grade DCIS. Axial post-contrast T1 fat suppressed MRI image (b) shows an irregular mass with spiculated margins with a biopsy marker clip within the mass (arrow). Pathology confirmed high grade DCIS. Axial maximum intensity projection (c) shows a focus of enhancement (arrow) in a patient who had a breast MRI for recently diagnosed contralateral breast cancer. This was biopsied under MRI guidance and shown to represent low grade DCIS.

On DCE MRI, DCIS lesions exhibit variable kinetic enhancement features. On initial phase, DCIS lesions most commonly exhibit fast (pre-contrast to initial post-contrast signal increase ≥ 100%) initial phase enhancement (49–68% of cases), but can also demonstrate medium (50 to 99% signal increase), slow (<50% signal increase), or even no initial phase enhancement (approximately 5–10% of cases). On delayed-phase images, the typical kinetic profile suggestive of malignancy (“washout”, which is defined as signal intensity decrease ≥10%) is seen in the minority of cases (28–44%)1,42.

DCIS Staging and Management

Historically, all breast malignancies, including DCIS, were surgically treated with radical mastectomy, a procedure which included removal of the entire breast, the pectoral fascia, and axillary content46. The landmark randomized controlled trial by Fisher et al46, which demonstrated no difference in 5-year survival and recurrence rates between breast malignancies treated with radical mastectomy versus breast conservation therapy, significantly alter the surgical standard of care. Non-invasive carcinoma comprised 1.4% of this study. Subsequently, observational studies focused only on DCIS have also found no survival benefits of mastectomy over breast conservation therapy47,48.

Today, the most common surgical treatment for DCIS is breast conservation therapy9. Treatment via unilateral mastectomy, although still indicated in cases such as multicentric disease, extensive diffuse disease, or positive margins after multiple surgical resections49, is less common, follow by bilateral mastectomy. Interestingly, despite a very low risk of contralateral breast malignancy in setting of DCIS in the general population50, the rate of bilateral mastectomy in treatment of DCIS has notably increased over the past two decades 51,52, and is mostly attributed to patients younger than 40 years old9. The National Comprehensive Cancer Network (NCCN) generally does not recommend axillary dissection in treatment of pure DCIS, except on rare occasions where surgical treatment is in an anatomic location that may limit possible future sentinel lymph node biopsy49.

Radiation and hormone therapy is also often considered in treatment of DCIS. Randomized control trials comparing lumpectomy with or without radiation therapy have demonstrated decreased recurrence in the former group2. Despite lack of evidence for significant reduction in mortality, the NCCN has uniform consensus based upon high-level evidence that combination of lumpectomy and radiation therapy is the appropriate treatment of choice. Similarly, hormone therapy is also recommended due to reduction of disease recurrence49.

Despite the comprehensive treatment outlined above, it is estimated that over half of DCIS lesions will never impact a woman’s health if left untreated and the prevailing DCIS treatment is aggressive due to a lack of ability to stratify DCIS risk53,54. Because the great majority (>90%) of DCIS lesions present in asymptomatic women, questions have been raised regarding the value of early breast cancer detection in the form of DCIS through screening mammography4. These controversies are often described with terms such as “overdiagnosis,” which implies radiologists and imaging tests are to blame for identifying the DCIS, and “overtreatment,” which transfers responsibility for the DCIS conundrum to the treating physician. In reality and as outlined by the National Institutes of Health55, all parties involved in breast cancer diagnosis and care must work together to find pathologic, clinical, and imaging markers that can help differentiate more aggressive forms of DCIS from those that can safely be followed. Accordingly, future research on DCIS imaging should center on how advanced imaging can improve determination of appropriate treatments and whether MRI features can serve as unique biomarkers of DCIS risk.

Opportunities for MRI to Improve DCIS Treatment

Emerging research poses the benefit of MRI in many time points of DCIS care. In the diagnostic stage, MRI may be able to predict malignant potential of mammographic calcifications, possibly reducing number of unnecessary needle biopsies. Once DCIS is diagnosed, MRI is superior to mammography in delineating extent of disease, which may lead to more precise surgical treatment and avoidance of radiation therapy. Even after surgical treatment, MRI may be able to guide long term care by predicting pathological aggressiveness and risk of recurrence.

MRI to Guide Biopsy of Mammographic Calcifications

While DCIS most often presents as microcalcifications, this finding can represent a wide range of benign to malignant pathologies. Currently, the American of Radiology Breast Imaging Reporting and Data System (BI-RADS) recommends biopsy for histological evaluation for all microcalcifications with greater than 2% risk of malignancy as deemed by interpreting radiologist. With this recommendation, the positive predictive value of microcalcifications is cited to be less than 30%56. Therefore, there is great interest in exploring other imaging modalities, including MRI, to improve the positive predictive value of microcalcifications and reduce number of unnecessary biopsies.

Numerous studies have been performed to explore MRI’s role in predicting malignant potential of microcalcifications with differing results. A recently published meta-analysis pooling a total of 1843 cases of BI-RADS category 3, 4, and 5 microcalcifications attempts to consolidate and generalize this body of research57. Similar to a previous meta-analysis58, while MRI performance was found to be too heterogenous among BI-RADS category 3 lesions to be of benefit, not cost-effective among BI-RADS category 5 lesions, for which the prevalence of malignancy was found to be 94%, MRI may be useful to guiding management of BI-RADS category 4 lesions. MRI sensitivity and specificity of BI-RADS category 4 microcalcifications were 92% and 82% respectively, with a negative likelihood ratio of 0.099. This result suggests that microcalcifications mammographically interpreted as BI-RADS category 4 with a negative MRI may be downgraded to BI-RADS category 3, which would decrease the number of needle biopsies recommended.

Additionally, the study found that among the 106 MRI false negative cases for all lesions, only 7 were invasive carcinoma, resulting in a negative predictive value for invasive carcinoma of 99%. This result suggests that MRI may be able exclude the risk of pathological upgrade even prior to performing a biopsy, which would aid in surgical planning.

MRI to Guide Surgical Approach

Once a DCIS diagnosis has been made, mammography is known to underestimate the full extent on final pathology since it typically detects only calcified portions of the in situ cancer. Dillon and colleagues demonstrated that mammography considerably underestimates DCIS size (imaging-to-pathology size discrepancy of more than 1 cm) in 40% of patients who ultimately have positive surgical margins compared to 14% of women who have uninvolved margins59. Despite the known higher sensitivity of MRI for DCIS detection60 and higher accuracy for evaluation of extent of disease19,61, the routine use of MRI for newly diagnosed DCIS remains controversial due to a lack of evidence to support treatment outcomes and potential adverse effects including unnecessary mastectomies62. Most of the prior studies assessing the value of MRI to assess DCIS extent of disease were performed at 1.5 tesla, and two recent studies have found that the use of higher field strength MRI (3 tesla) can provide an even more accurate assessment of pathological extent of disease when compared to 1.5 tesla technique63 and mammography64. However, it remains unclear to date whether this improved ability to delineate extent of disease prior to surgery will lead to better long term outcomes, such as decreased rates of local recurrence. It is conceivable that in the context of current management approaches that overtreat the majority of patients diagnosed with DCIS, the already very low local recurrence rates will not be lowered through the use of MRI. Conversely, it is possible that such treatment approaches, such as requiring radiation therapy for nearly all patients with DCIS who undergo breast conserving therapy, were effective in the setting of less advanced imaging techniques and that through advanced imaging such as MRI, appropriate patient populations who can avoid radiation therapy can be identified. An ongoing multi-center trial (4112 trial) is designed to assess this very question: can MRI in conjunction with an advanced a 12 gene assay (Oncotype DX-DCIS)21 safely allow low risk patients to avoid radiation therapy and thereby decrease overtreatment?22 It is this role in precision diagnostics and tailored, individualized therapies that MRI could provide the most benefit in DCIS diagnosis and treatment.

MRI to Stratify DCIS Biological Risk

Compared to mammography and ultrasound, MRI has greater potential to reflect the biologic features of breast pathology, such as vascularity and permeability, cell membrane integrity, and cellularity. Through the use of DCE techniques, radiologists can measure the differential enhancement of DCIS lesions relative to normal breast tissue, theoretically assessing the rates at which the abnormal vessels that support DCIS lesions growth both deposit nutrients into a tumor and remove cell cycle byproducts. This can be achieved semi-quantitatively by measuring basic kinetic enhancement curves (e.g. slow, medium, or fast initial phase and persistent, plateau, or washout delayed phase) or quantitatively for high temporal resolution acquisitions (e.g. Ktrans, kep, and ve)65. The use of DWI in breast imaging can provide complementary biological information by indirectly measuring cellular density and membrane integrity66. DWI utilizes motion-sensitizing gradients during MR image acquisition to probe local water diffusion characteristics, and the level by which water diffusion is restricted can be quantified by measuring apparent diffusion coefficients (ADCs)67. It has been hypothesized that since most breast malignancies have high cellular density and intact cell membranes, many malignancies demonstrate reduced water diffusivity when compared to normal tissue or benign pathologies.

Using these parameters, several prior studies have identified promising MRI features that can capture DCIS biology, and, in general, have found that, small, focal areas of enhancement that exhibit high contrast-to-noise ratios (CNR) with corresponding high standard ADC values on DWI are more likely to reflect lower grade DCIS19,68,69. A recent study at 3 tesla has demonstrated that low risk DCIS (as defined by the VNPC) tends to exhibit lower normalized ADC values and higher CNR on DWI70. In a pilot study using a mouse model of DCIS, Jansen et al showed a trend of lower Ktrans values in DCIS lesions when compared to invasive tumors71. Jansen and colleagues also evaluated 12 DCIS lesions in humans using high temporal resolution DCE MRI and found that solid forms of DCIS exhibit unique early contrast features when compared to cribriform subtypes72. Finally, Li et al found that Ktrans and ADC can accurately discriminate between DCIS and invasive cancer, and that they correlated with markers of proliferation (Ki-67) and angiogenesis (CD105)73.

More recently, two retrospective studies have demonstrated that MRI imaging features of both the DCIS lesion and surrounding normal tissue may be able to directly predict treatment outcomes of DCIS. In a study examining 15 DCIS cases that recurred after treatment, Kim et al found that higher amounts of background parenchymal enhancement (BPE) surrounding DCIS lesions correlated with recurrence risk74, suggesting that MRI features of normal tissue have potential to predict which patients are most likely to develop recurrent breast malignancies. Another study of 11 women with DCIS that experienced ipsilateral recurrences matched to 11 women who did not recur but had similar clinical, pathologic, and treatment features found that MRI features of higher DCIS lesion signal enhancement ratio, larger DCIS lesion functional tumor volume, and greater ipsilateral whole breast BPE were associated with women who recurred. These two studies also provide increasing validation of BPE as a possible imaging marker of general beast cancer risk and tumorigenesis, building on work by both King et al and Dontchos et al75,76.

Conclusion

The diagnosis rate of DCIS has been steadily rising over the past decade due to improved imaging techniques such as digital mammography and breast MRI. While this has allowed breast imagers to identify breast cancer at its earliest possible stage, this also has created concerns of exposing women to aggressive therapies for a pre-invasive process that may not impact a woman’s life if left undetected. Through this challenge, there is a unique opportunity for radiologists to address these concerns through advanced imaging, therefore, guiding more personalized treatments by confirming disease extent and measuring biology of DCIS lesions in vivo.

Footnotes

Conflict of interest

Nita Amornsiripanitch, MD

Conflict of interest: None

Diana L. Lam, MD

Conflict of interest: None

Habib Rahbar, MD

Conflict of interest: None

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