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Published in final edited form as: Breast. 2014 Feb 14;23(4):341–345. doi: 10.1016/j.breast.2014.01.005

Evaluation of Expert Criteria for Preoperative Magnetic Resonance Imaging of Newly Diagnosed Breast Cancer

Carolyn E Behrendt a, Lusine Tumyan b, Laura Gonser c, Sara L Shaw b, Lalit Vora b, I Benjamin Paz d, Joshua DI Ellenhorn d,1, John H Yim d
PMCID: PMC4074599  NIHMSID: NIHMS558069  PMID: 24530008

SUMMARY

Despite 2 randomized trials reporting no reduction in operations or local recurrence at 1 year, preoperative magnetic resonance imaging (MRI) is increasingly used in diagnostic workup of breast cancer. We evaluated 5 utilization criteria recently proposed by experts. Of women (n=340) newly diagnosed with unilateral breast cancer who underwent bilateral MRI, most (69.4%) met at least 1 criterion before MRI: mammographic density (44.4%), under consideration for partial breast irradiation (PBI) (19.7%), genetic-familial risk (12.9%), invasive lobular carcinoma (11.8%), and multifocal/multicentric disease (10.6%). MRI detected occult malignant lesion or extension of index lesion in 21.2% of index, 3.3% of contralateral, breasts. No expert criterion was associated with MRI-detected malignant lesion, which associated instead with pre-MRI plan of lumpectomy without PBI (48.2% of subjects): Odds Ratio 3.05, 95% CI 1.57–5.91 (p adjusted for multiple hypothesis testing=0.007, adjusted for index-vs-contralateral breast and covariates). The expert guidelines were not confirmed by clinical evidence.

Keywords: Background parenchymal enhancement, Breast cancer, Hormone replacement, Magnetic resonance imaging, Mammographic density, Partial breast irradiation, Practice guidelines, Preoperative screening, Smoking

INTRODUCTION

Magnetic resonance imaging (MRI) is increasingly used in the diagnostic workup of breast cancer, both in situ and invasive. Preoperative MRI of the breast is used more often among patients from major metropolitan areas and less often among women who are poor, non-White, or elderly. [1,2] In patients for whom breast cancer treatment is planned, preoperative (MRI) detects additional tumor foci in the ipsilateral breast in 10–30% of cases and clinically and mammographically occult cancer in the contralateral breast in 3–5%. [35] Nevertheless, the use of breast MRI to ascertain the extent of disease remains controversial, because of debate regarding longterm clinical benefit from surgical excision of additional tumor detected by MRI of the ipsilateral breast [4,6] and because randomized trials of preoperative MRI have concluded that such imaging does not significantly affect the frequency of avoidable operations (total of initial mastectomies not justified by pathology, re-excisions and mastectomies within 6 months after breast-conserving surgery) [7,8], overall healthcare costs [7], or likelihood of local recurrence at 1 year [7]. Less controversial is the use of preoperative MRI to screen the contralateral breast of patients with proven cancer: for such screening, the American College of Radiology [9] and the European Society of Breast Imaging (EUSOBI) [5] recommend bilateral MRI.

Experts have proposed various guidelines for targeting preoperative MRI to those breast cancer patients with the highest anticipated yield of new malignant findings. For instance, EUSOBI has recommended preoperative MRI especially in the case of dense breasts or invasive lobular carcinoma (ILC). [5] From expert opinion and a limited number of studies, Sardanelli proposed 6 criteria, any one of which might justify preoperative MRI in breast cancer: extreme or heterogeneous mammographic density, multifocal/multicentric disease, ILC, high genetic-familial risk of breast cancer, “discrepancy >1 cm in size between mammography and ultrasound” in patients under age 60 years, and under consideration for partial breast irradiation (PBI). [10] Immediately thereafter, a working group of the European Society of Breast Cancer Specialists (EUSOMA) endorsed 4 of those criteria, omitting multifocal/multicentric disease and mammographic density; their consensus statement noted intermediate-level evidence for 2 of 4 criteria. [11] To our knowledge, comparable American criteria for preoperative MRI have not been published, but the National Cancer Center Network(NCCN)’s breast cancer guidelines [12] mention that bilateral breast MRI may be appropriate for patients with newly diagnosed breast cancer, to define the extent of disease and detect occult malignant lesions in the index or contralateral breast.

Recently, mammographic density and 3 of the 4 EUSOMA guideline criteria, (ILC, hereditary risk, discrepancy between mammography and ultrasound) were evaluated among 200 breast cancer patients under consideration for breast-conserving surgery. [13] The investigators concluded that none of the criteria they tested distinguished patients in whom preoperative MRI led to switch from breast conservation to mastectomy.

To date, the 6 criteria proposed by Sardanelli [10] (4 of which were endorsed by EUSOMA [11]) have not been formally evaluated for detection of occult malignant lesions among a general sample of breast cancer patients. Therefore, we conducted a retrospective review of consecutive breast cancer patients who underwent preoperative bilateral breast MRI at our institution during a period (2006–2008) when such imaging was routinely performed. Because screening for discrepancy in lesion size between mammography and ultrasound was not part of routine care, we evaluated the other 5 criteria. Our analysis took into account age and other potential confounding factors and adjusted statistical significance to avoid error from multiple hypothesis testing.

METHODS

Eligibility criteria

This retrospective study was approved in advance by the City of Hope institutional review board, which granted a waiver of informed consent. Patients newly diagnosed with breast cancer were offered preoperative MRI routinely, without clinical criteria or restrictions. For this study, we reviewed consecutive female patients at least 18 years of age whose diagnosis before any MRI was unilateral breast cancer, who had a contralateral breast, and who underwent bilateral MRI as part of workup for definitive surgery at our center in 2006–2008 without having received neoadjuvant chemotherapy beforehand. Subjects who did not undergo breast cancer surgery as planned were retained in the study.

MRI Technique

MRI examinations were performed on a 1.5 Tesla scanner (Signa Excite; GE Healthcare, Milwaukee, WI) with a dedicated 7 channel in Vivo breast coil. Imaging sequences included bilateral axial STIR, non fat suppressed axial T1, pre- and post-contrast enhanced 1–6 minutes 3-D dynamic T1 weighted fat saturated sequences. Gadopentetate dimeglumane (MultiHance, Gracco Diagnostics, Princeton NJ) was administered intravenously according to the patient’s weight, using the formula 0.1 mmol/kg, maximum at 20 ml. Subtraction images were generated, and a computer-aided display (CAD Stream) was utilized during image interpretation.

Images were viewed on a dedicated workstation by 1 of 6 readers, each with 15–30 years of experience as a breast radiologist. Standardized adjudication of mammographic density and background enhancement was performed retrospectively by the study radiologist (LT, blinded to MMA outcome) per the American College of Radiology Breast Imaging Reporting and Data System (BI-RADS) lexicons [14,15].

Definitions

MRI-detected malignant abnormality (MMA) was a newly identified lesion in either breast (scored 0 or 4 and above per BI-RADS [14] and confirmed to be in situ or invasive cancer by biopsy or pathology) or an extension of the index lesion more than a centimeter greater on MRI than on mammography. Biopsy was guided by ultrasound when the suspect lesion could be thus identified; otherwise, biopsy of suspect lesion was guided by MRI. We defined genetic-familial risk of breast cancer as any BRCA mutation or a first-degree relative diagnosed with premenopausal breast cancer (diagnosed at or before age 50) or with ovarian cancer at any age. Surgeons determined candidacy for PBI prior to MRI according to consensus guidelines [16]. Current HR refers to use of prescription-based hormone within the month before MRI evaluation.

Statistical analysis

Subject breasts were evaluable as long as any MMA therein had been resolved as malignant or benign before surgery. Associations between the 5 expertcriteria [10] and detection of malignant abnormality by preoperative MRI were evaluated using generalized estimating equation modeling, to take into account potential intrapatient correlation between breasts. To maintain the study’s overall risk of Type I error below 5%, p values associated with primary risk factors were adjusted for multiple hypothesis testing using the Holm-Bonferroni method. [17] In all, 7 primary “hypotheses” were evaluated: besides ILC, genetic-familial history, and multifocal disease, mammographic density was considered at 2 levels (extreme density and heterogeneous), and surgical plan prior to MRI was considered at 2 levels (lumpectomy with and without consideration of PBI). The preliminary model was adjusted for a single covariate, index versus contralateral breast. No significant interaction was present among the expert criteria. The final model was further adjusted for age at diagnosis, recent use of hormone replacement, and history of smoking (consolidated into never vs ever smoked for better fit to the observed data).

RESULTS

Sample

Subjects (n=340, age 53.4±11.0 years) represented 91.9% of potentially eligible patients. The remaining patients (nonsubjects, n=30) did not undergo routine bilateral MRI at our center for a variety of reasons, none of which appeared to systematically exclude a patient subgroup. Those reasons included: having already undergone preoperative MRI elsewhere, denial of insurance reimbursement, size not accommodated by MRI scanner, patient’s refusal of breast conservation, or surgeon’s decision to request unilateral or no MRI. Before MRI, most (69.4%) subjects met at least 1 of the 5 criteria being evaluated (Table 1).

Table 1.

Women Newly Diagnosed with Unilateral Breast Cancer Who Underwent Preoperative MRI and the Frequency of MRI-detected Malignant Abnormality (MMA) in Evaluablea Breasts

All
Subjects
(N=340)
MMA per
Evaluablea
Index Breasts
(N=312)
MMA per
Evaluablea
Contralateral
Breasts
(N=339)
N (Column %) MMA/N (%) MMA/N (%)
EXPERT CRITERIA FOR MRI
High Genetic-Familial Risk of Breast Cancer
  Yes 44 (12.9) 10/42 (23.8) 2/44 (4.6)
  No 296 (87.1) 62/270 (23.0) 9/295 (3.1)
Diagnosis of Invasive Lobular Carcinoma Pre-MRI
  Yes 40 (11.8) 8/36 (22.2) 2/40 (5.0)
  No 300 (88.2) 64/276 (23.2) 9/299 (3.0)
Multifocal or Multicentric Disease in Index Breast Pre-MRI
  Yes 36 (10.6) 7/31 (22.6) 0/36 (0)
  No 304 (89.4) 65/281 (23.1) 11/303 (3.6)
Mammographic Density
  Extremely Dense 16 (4.7) 5/16 (31.3) 0/16 (0)
  Heterogeneously Dense 135 (39.7) 30/125 (24.0) 4/134 (3.0)
  Scattered Fibroglandular Densities 151 (44.1) 29/138 (21.0) 5/150 (3.3)
  Almost Entirely Fatty 22 (6.5) 4/19 (21.1) 1/22 (4.6)
  Films Unavailable for Review 17 (5.0) 4/14 (28.6) 1/17 (5.9)
Surgical Plan Prior to MRI b
  Lumpectomy with Partial Breast Irradiation (PBI) 67 (19.7) 9/65 (13.9) 3/66 (4.6)
  Lumpectomy without PBI 164 (48.2) 51/155 (32.9) 6/164 (3.7)
  Mastectomy 109 (32.1) 12/92 (13.0) 2/109 (1.8)

POTENTIAL CONFOUNDING FACTORS
History of Smoking c
  Never Smoker 268 (78.8) 64/246 (26.0) 10/267 (3.8)
  Current Smoker 37 (10.9) 6/37 (16.2) 0/37 (0)
  Former Smoker 35 (10.3) 2/29 (6.9) 1/35 (2.9)
Age at Diagnosis, By Hormone Replacement (HR) b
  Not Using HR: Age 24–39 29 (8.5) 4/26 (15.4) 0/29 (0)
Age 40–49 102 (30.0) 32/92 (34.8) 3/101 (3.0)
Age 50–90 173 (50.9) 24/162 (14.8) 7/173 (4.1)
  Using HR: Age 40–77 36 (10.6) 12/32 (37.5) 1/36 (2.8)
Background Parenchymal Enhancement on MRI
  Marked 51 (15.0) 10/47 (21.3) 3/51 (5.9)
  Moderate 77 (22.7) 20/71 (28.2) 3/77 (3.9)
  Mild 86 (25.3) 17/80 (21.3) 2/85 (2.4)
  Minimal 125 (36.8) 25/114 (21.9) 3/125 (2.4)
  Films Unavailable for Review 1 (0.3) --- 0/1 (0)
Breast Radiologist Who Read Subject’s MRI c
  A 66 (19.4) 15/64 (23.4) 3/66 (4.6)
  B 31 (9.1) 7/28 (25.0) 4/31 (12.9)
  C 69 (20.3) 11/61 (18.0) 1/69 (1.5)
  D 107 (31.5) 28/99 (28.3) 2/106 (1.9)
  E 39 (11.5) 6/35 (17.1) 0/39 (0)
  F 28 (8.2) 5/25 (20.0) 1/28 (3.6)
a)

Evaluable breasts are those in which any MRI-detected abnormality had been determined to be malignant or benign prior to cancer surgery.

b)

chi-square test: p≤0.0005

c)

p<0.05

MRI Findings

Preoperative MRI detected an abnormality (malignant or otherwise) in 140 (41.2%) subjects, of whom 32 had MRI-detected abnormality in both breasts, for a total of 172 potentially malignant abnormalities. Prior to surgery, 48.3% (83/172) of these abnormalities were confirmed to be malignant, and another 34.9% (60/172) were determined to be benign or atypical cellular hyperplasia (Table 2). The remaining abnormalities (in 28 index, 1 contralateral breast) were not resolved as malignant versus benign prior to surgery for the following reasons: biopsy could not be successfully performed (n=6), the patient declined biopsy (n=14), or the surgeon did not request biopsy because the abnormality would be excised during the surgical procedure (n=9).

Table 2.

Findings on Preoperative MRI

Index Breast
(n=340)
N (%)
Contralateral Breast
(n=340)
N (%)
New Abnormality
  Greater Extension of Index Tumor 36 (10.6) ---
  New Invasive Cancer 27 (7.9) 5 (1.5)
  New In Situ Carcinoma 9 (2.7) 6 (1.8)
  New Atypical Cellular Hyperplasiaa 7 (2.1) 8 (2.4)
  Benign 15 (4.4) 30 (8.8)
  Status Unresolved Prior to Surgery 28 (8.2) 1 (0.3)
No New Abnormality 290 (85.3) 218 (64.1)
a)

Atypical hyperplasia was ductal, except 1 case of atypical lobular hyperplasia in a contralateral breast. Hyperplasia was not included among new malignant abnormalities.

MRI-detected abnormalities confirmed to be malignant (MMA) were found much more often in index than contralateral breasts: 21.2% versus 3.3% (p<0.0001). In the contralateral breast, MMA (n=11) was no more likely in subjects with than without MMA in the index breast: 2/72 (2.8%) versus 9/268 (3.4%) (difference not significant).

Evaluation of expert criteria

Setting aside as nonevaluable those breasts with MRI-detected abnormality unresolved before surgery (n=29), we compared breasts with MMA (72 index, 11 contralateral) to those definitely free of MMA (240 index, 328 contralateral). On univariate analysis stratified by index versus contralateral side (Table 1), none of the expert criteria was associated with MMA, but planned lumpectomy without PBI was. The latter association was confirmed in multivariate analysis (Table 3). Radiologist and background parenchymal enhancement contributed no useful information and, for efficiency, were dropped from the final model.

Table 3.

Multivariate Evaluation of Association between Expert Criteria and MRI-Detected Malignant Abnormality (MMA) Among Evaluable Breastsa (N=651)

Relative Odds (95% C.I.)
Adjusted for Index Status
Pb Relative Odds (95% C.I.)
Adjusted for All Covariates
Pb
EXPERT CRITERIA
Mammographic Density
  Extremely dense 1.49 (0.54 – 4.12) NS 2.01 (0.60 – 6.79) NS
  Heterogeneously dense 1.03 (0.62 – 1.70) NS 0.85 (0.50 – 1.45) NS
  Less dense 1.00 1.00
Focality
  Multifocal/multicentric 0.88 (0.38 – 2.04) NS 0.93 (0.37 – 2.33) NS
  Unifocal 1.00 1.00
Diagnosis
  ILC 1.22 (0.60 – 2.49) NS 1.52 (0.70 – 3.30) NS
  Not ILC 1.00 1.00
High Genetic-Familial Risk
  Yes 1.20 (0.60 – 2.38) NS 1.30 (0.58 – 2.90) NS
  No 1.00 1.00
Surgical Plan Prior to MRI
  Lumpectomy with PBI 1.27 (0.57 – 2.84) NS 1.32 (0.55 – 3.18) NS
  Lumpectomy without PBI 3.09 (1.63 – 5.84) 0.004 3.05 (1.57 – 5.91) 0.007
  Mastectomy 1.00 1.00
COVARIATES
Laterality of Breast
  Index 9.25 (4.70 – 18.19) 36.32 (13.18 – 95.49)
  Contralateral 1.00 1.00
Age at Diagnosis
  Age 24–39 0.13 (0.03 – 0.49)
  Age 40–41 1.00
  Per (log)Year over Age 41:
    Index Breast
      Without HR 0.51 (0.37 – 0.71)
      With HR 0.78 (0.57 – 1.09)
    Contralateral Breast 1.00
Smoking History
  Never Smoker 2.58 (1.21 – 5.48)
  Current or Former Smoker 1.00

PBI = Partial breast irradiation

a)

Excluded from the model are nonevaluable breasts (n=29), those in which the status of MRI-detected abnormality (malignant versus benign) was not resolved prior to surgery.

b)

Statistical significance was assessed for primary risk factors only. Adjustment of p values for multiple hypothesis testing was performed according to Holm [17]. NS=not significant.

DISCUSSION

The expert criteria for preoperative MRI that were currently evaluated are of 2 types. Most of them (mammographic density, ILC, genetic-familial risk, multifocal/multicentric disease) identify patients in whom mammography may fail to detect additional malignant foci or may underestimate the dimensions of the index lesion. The rest of the criteria (ie, candidate for PBI) refer to patients for whom MRI findings might rule out eligibility for the treatment planned. An additional criterion evaluated here (planned lumpectomy in a patient not being considered for PBI) belongs to the latter category but has not been proposed previously.

The 5 expert criteria currently performed no better than chance at predicting detection of MMA. Two of those criteria (ILC and high genetic-familial risk) were similarly unconfirmed in a previous study [13], while a third criterion, mammographic density, was not confirmed in multiple previous studies [13,1822]. The 2 other criteria (multifocal/multicentric disease, candidacy for PBI) have not been previously tested as predictors of MMA.

Among potential confounding factors, we observed no association between background parenchymal enhancement and MMA, a finding consistent with a recent report that, among women undergoing screening or diagnostic MRI, background parenchymal enhancement is not associated with breast cancer at the time of imaging or later on. [23] Nor did likelihood of MMA vary by radiologist who read the original MRI. In contrast, age at diagnosis (modified by recent HR use) and smoking history did associate with MMA, contributing information independent of their established correlate, mammographic density [2432], and also independent of background parenchymal enhancement. Mammographic density reflects a high ratio of collagen to fat-tissue in the breast. [33] Age, HR use, and smoking history affect one or both elements of that ratio and could also affect other cell types in the breast microenvironment (epithelial cells, immune cells). [33]

Among our study’s limitations, the patient sample was drawn from a single institution; however, we can think of no reason that the criteria under study would perform better elsewhere. Compliance with routine bilateral MRI was high (almost 92%), similar to the 90% recently reported by a comparable study. [34] Current sample size was adequate to analyze MMA as a single outcome but not to analyze new malignant foci and greater local extension as separate outcomes. There were few cases of contralateral MMA among our subjects; however, our methodology enabled us to consider both ipsilateral and contralateral MMA as cases in our models. We were unable to evaluate the remaining criterion, discrepancy in lesion size between mammography and ultrasound [10], because screening for such discrepancy was not routine among our subjects.

In conclusion, these expert criteria, despite their intuitive logic, are ineffective for targeting preoperative MRI among patients newly diagnosed with breast cancer. Instead, candidates for lumpectomy not under consideration for PBI, nearly half of our subjects, are the patients most likely to harbor occult malignant lesion (or greater extent of index lesion) detectable with MRI. This study highlights the need to regard expert consensus statements as preliminary until their recommendations have undergone rigorous confirmatory testing in patients.

ACKNOWLEDGMENTS

This research received support from the National Cancer Institute of the National Institutes of Health under grant number P30CA033572. The content of this report is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

Footnotes

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CONFLICT OF INTEREST STATEMENT

The authors have no conflicts of interest to disclose.

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