Breast density: imaging, risks and recommendations

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Breast density: imaging, risks and recommendations Maureen Baxter, MD Radiologist Director of Ruth J. Spear Breast Center Providence St. Vincent Medical Center Alison Conlin, MD/MPH Medical Oncologist Director of High Risk Breast Clinic Providence Cancer Center Portland November 2, 2017 Disclosures Dr. Maureen Baxter has no relevant disclosures Dr. Alison Conlin has no relevant disclosures 1

Objectives Explain the risks and prevalence of dense breast tissue Discuss the various screening options Provide a framework for screening patients with dense breast tissue Understand breast cancer risk factors, risk calculators and their limits Understand how breast cancer risk is calculated in women with a history of breast cancer Your mammogram shows that your breast tissue is dense. Dense breast tissue is common and is not abnormal. However, dense breast tissue can make it harder to evaluate the results of your mammogram and may also be associated with an increased risk of breast cancer. This information about the results of your mammogram is given to you to raise your awareness and to promote discussion with your health care provider. Together, you can decide if you may benefit from further screening. A report of your results was sent to your health care provider. 2

Legislation and Regulations 31 States require breast density notification There is no standard on what patients are told or how they are informed 6 states require insurance coverage, but not all women are covered, and national providers may be exempt 3

Breast Density Ratio of fat to fibroglandular tissue in the breast. The American College of Radiology has four grades of breast composition to describe the breast density of all patients using the following patterns: Type 1: fatty (<25% glandular tissue) Type 2: scattered (25-50% scattered fibroglandular tissue) Type 3: heterogeneously dense (51-75% fibroglandular) Type 4: dense (>75% fibroglandular) 4

CC CC 5

1. Masking Surrounding breast tissue obscures a cancer. G. Boyd, H Guo et. al. Mammographic Density and the Risk and Detection of Breast CancerEngl J Med 2007; 356:227-236 6

Implications of Breast Density - Masking Effectiveness of Screening Mammography All Women: Sensitivity 85% Proven mortality reduction Women with Dense Breasts Sensitivity 48-65% More than 1/3 of breast cancers not visible in women with dense breasts Breast Density as a Predictor of Mammographic Detection: Comparison of Interval-and Screen-Detected Cancers M. Mandelson, N Oestreicher, etal.jnci J Natl Cancer Inst (2000) 92 (13): 1081-1087. 2. Increased Risk of Breast Cancer 1.2-2 times (4.7 times when compared to fatty) Dense breast tissue increases the risk of developing breast cancer more than family history, postmenopausal weight gain, or late childbearing G. Boyd, H Guo et. al. Mammographic Density and the Risk and Detection of Breast CancerEngl J Med 2007; 356:227-236 7

Mammography Mammography is the only method of screening for breast cancer shown to decrease mortality 8

Failure Analysis Webb ML et al Cancer 2013; epub 9/11/13 7301 invasive breast cancer dx 1990-1999 f/u 2007 609 breast cancer deaths; median age 49 yr at dx 29% cancer deaths were among women screened 19% screen detected 10% interval cancers 71% deaths among unscreened women Interval Cancer Cancer dx by clinical symptoms in interval between recommended screenings Worse prognosis and worse outcome 9

MRI Ultrasound Tomosynthesis BSGI? 10

Screening MRI MRI not affected by breast density High sensitivity Combination of mammography and MRI in high risk population has the highest sensitivity: 92.7% No radiation Expensive Requires contrast injection 11

EVA Trial: Screening Patients with Increased Risk of Breast Cancer Evaluated different modalities, used alone or in combination Cancer yield of the different imaging methods, used alone or in combination. Kuhl C et al. JCO 2010;28:1450-1457 2010 by American Society of Clinical Oncology 12

Future? Abbreviated Breast Magnetic Resonance Imaging (MRI): First Postcontrast Subtracted Images and Maximum-Intensity Projection A Novel Approach to Breast Cancer Screening With MRI Christiane K. Kuhl MRI acquisition time 3 minutes Radiologist read time of 3 seconds for MIP and 30 seconds for full exam 18.2 additional cancer/1000 compared to those screened with mammography and US. Relative Cost National Medicare Global 2007 76094 Bilateral Breast MRI $1,144 76092 Screening Mammogram $92 76091 Diagnostic Mammogram $109 76445 Breast Ultrasound $85 Screening Ultrasound ~$300 13

High Risk Factors for Breast Cancer (American Cancer Society) Patients with a known BRCA mutation First degree relatives of a BRCA carrier (parent, sibling, offspring), but untested Patients with >20% lifetime risk Patients with radiation to chest between ages 10-30 yrs Imaging Guidelines for High Risk Patients (ACS) Annual screening digital mammography Annual screening MRI (usually covered by insurance) May alternate every 6 months or may be done at same time Begin at age 30 and continue for as long as patient is in good health If patient can t or doesn t want MRI, then screening US Claustrophobia, pacemaker, inadequate insurance 14

Screening Breast Ultrasound No radiation Not limited by dense tissue No contrast injection Cost 15

ACRIN 6666 Trial 2637 HIGH RISK patients with dense breasts Single screening US in addition to mammography 4.2 additional cancers/1000 high risk women IDC (11/12) Mean size 1.0 cm Almost all node negative (96%) Inferior to MRI and BSGI 16

Average time to perform bilateral US: 19 Minutes Since Enactment of the Legislation in Connecticut Weigert and Steenbergen: 8647 screening US on women with dense breasts in CT 3.25 additional cancers/1000 Hooley et al 935 screening US on women with dense breasts in CT 3.2 additional cancers/1000 PPV of BIRADS 4 masses = 6.5% Parris, Wakefield, and Frimmer 5519 screening US 2 additional cancers/1000 17

Automated Breast Ultrasound Image acquisition is uncoupled from interpretation Interpreted by radiologist Minimizes operator dependence Patients must be recalled for further evaluation, increasing the recall rate from 4.2% to 9.6% in one study (Kelly et at) 18

Digital Breast Tomosynthesis Increases detection of cancer by 35% Decreases callbacks by 15-30% Increased false positives for ultrasound compared to decreased false positives for tomosynthesis Ionizing radiation Rose SL, Tidwell AL, Bujnoch LJ, Kushwaha AC, Nordmann AS, Sexton R Jr. Implementation of Breast Tomosynthesis in a Routine Screening Practice: An Observational Study. AJR Am J Roentgenol. 2013 Jun;200(6):1401-8. doi: 10.2214/AJR.12.9672 19

Ultrasound vs. Tomosynthesis [ASTOUND] First study to compare the modalities in Journal of Clinical Oncology Tagliafico AS et al JCO 2016;epub 3/9/16 3231 women with negative 2D mammogram were screened with US and tomosynthesis 13 additional cancers detected by tomo (4/1000) 1 detected only by tomo 23 detected by US (7/1000) 11 detected only by US 20

False Positives ASTOUND For any testing 1.7% for tomosynthesis 2.0% for US For biopsy 0.7% for both However: Most had priors for comparison 6 month follow-ups were not considered a test positive Conclusion The Adjunct Screening With Tomosynthesis or Ultrasound in Women With Mammography-Negative Dense Breasts interim analysis shows that ultrasound has better incremental BC detection than tomosynthesis in mammography-negative dense breasts at a similar FP-recall rate. However, future application of adjunct screening should consider that tomosynthesis detected more than 50% of the additional BCs in these women and could potentially be the primary screening modality. 21

Cost US -$425 (not covered by insurance) Where Does that Leave Us? 22

Proposed Approach Women with dense breast tissue should receive a 3D mammogram if possible and convenient Reassurance Very concerned patients may elect screening US High risk patients should get an MRI 23

Who is at risk? Gender Age Race Personal history Family history Prior chest radiation Lifestyle factors obesity, alcohol use Reproductive and menstrual history Longer menses=higher risk Clemons et al, 2001 NEJM Family history as a risk factor Breast cancer risk 10% 15% Sporadic Familial Genetic 24

Breast Cancer Risk with atypical hyperplasia Hartmann LC et al. N Engl J Med 2015;372:78-89. Risk Assessments Educate patients and providers about cancer risk Determine if genetic testing is indicated Decide when screening mammogram should be started Identify high risk patients for whom other screening or prevention measures can be offered 25

Risk Models Breast Cancer Risk Assessment Tool (GAIL) Claus Tyrer-Cuzick (IBIS) BRCAPRO BOADICEA Decurion French Model BPC3 Model Example Case: Family Z Age 40 now Menarche age 12 First birth age 25 No biopsies 26

GAIL Model Assessment GAIL MODEL Pros Free and accessible Easy to use and quick Takes into account relatives and some personal factors Good for atypia Cons Does not take into account 2 nd /3 rd degree relatives Cannot use in women <35 Does not take into account ages of diagnosis Underestimates risks for some ethnicities 27

CLAUS MODEL CLAUS MODEL Pros Takes into account 1st AND 2nd degree relatives Takes into account ages of breast cancer diagnoses Can be used to calculate risk for MRI Cons Physical Tables Need to enter pedigree so takes longer Does not take into account any personal factors like biopsy or reproductive factors 28

IBIS MODEL Pros Takes into account age, personal factors, use of HRT, height and weight. Takes into account ovarian cancer risks Risk goes up to age 85 Runs a BRCApro Cons Need to enter pedigree and risk factors Need the program Tends to be highest risks/overestimates risk OTHER MODELS BRCAPRO Statistical model to help determine risk of carrying a gremlin BRCA 1 or BRCA 2 mutation BOADICEA Decruion French Model BPC3 Model, newer model incorporating SNPs and personal risk factors, awaits validation 29

Breast cancer prevention So called chemoprevention Women who are at higher than average risk can reduce their risk by 50-70% by taking tamoxifen for 5yrs Evidence for exemestane and anastrozole in post-menopausal women with 60% reduction for 5 years Goss PE et al. N Engl J Med 2011;364:2381-2391. Thank you! 30