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Imaging Women with Dense Breasts - University of Virginia

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Objectives<br />

<strong>Imaging</strong> <strong>Women</strong> <strong>with</strong> <strong>Dense</strong> <strong>Breasts</strong>:<br />

MRI, Tomosynthesis, and US<br />

• Describe the potential added benefit <strong>of</strong> MR,<br />

tomosyntheis, and US for women <strong>with</strong><br />

dense tissue based on prior studies<br />

• Discuss the negative aspects <strong>of</strong> ancillary<br />

screening for women <strong>with</strong> dense tissue<br />

Jennifer A. Harvey, M.D., FACR<br />

Pr<strong>of</strong>essor <strong>of</strong> Radiology<br />

<strong>University</strong> <strong>of</strong> <strong>Virginia</strong><br />

Managing <strong>Women</strong> <strong>with</strong> <strong>Dense</strong><br />

Breast Tissue<br />

• Annual digital<br />

mammography, age<br />

40 and older<br />

• MRI?<br />

• Ultrasound?<br />

• Tomosynthesis?<br />

• Other ancillary<br />

screening?<br />

Perceived Risk <strong>of</strong> Breast Cancer<br />

• 72% <strong>of</strong> average risk women accurately<br />

perceive their risk <strong>of</strong> breast cancer<br />

– 28% overestimate risk<br />

• Only 43% <strong>of</strong> high risk women accurately<br />

perceive their risk<br />

– 57% underestimate risk<br />

Haas JS. J <strong>Women</strong>’s Health. 2005<br />

Breast Cancer Risk Factors<br />

Personal<br />

• Parity<br />

• Age at<br />

menarche<br />

• Age at<br />

menopause<br />

• Hormone<br />

therapy<br />

• Obesity<br />

Breast Disease<br />

• LCIS<br />

• ALH<br />

• ADH<br />

• DCIS<br />

• Breast density<br />

• Radiation<br />

exposure<br />

Genetic<br />

• BRCA carrier<br />

• Li-Fraumeni<br />

syndrome<br />

• Cowden<br />

Syndrome<br />

• Bannayan-<br />

Riley-<br />

Ruvalcaba<br />

Breast Cancer Risk Stratification<br />

Lifetime Risk<br />

Average Risk < 15%<br />

Associated Risk Factors<br />

Moderate Risk 15 – 20% • LCIS, ADH, ALH<br />

• Prior breast cancer<br />

• <strong>Dense</strong> breast tissue<br />

• Intermediate family history<br />

High Risk > 20-25% • Hereditary Breast and Ovarian<br />

Cancer (HBOC) syndrome (e.g.<br />

BRCA)<br />

• Other genetic mutations<br />

• Chest Radiation at a young age<br />

• Combination <strong>of</strong> risk factors


ACS: Annual Screening MRI<br />

Genetic Risk in the Population<br />

• BRCA mutation<br />

• 1 st degree relative <strong>of</strong> BRCA carrier, but untested<br />

• <strong>Women</strong> <strong>with</strong> >20 - 25% lifetime risk by BRCAPro<br />

or other model dependent on family hx<br />

• Li-Fraumeni, Cowden, and Bannayan-Riley-<br />

Ruvalcaba syndromes and 1 st degree relatives<br />

• Radiation to chest between age 10 and 30 years<br />

Saslow D. CA Cancer 2007<br />

0.5%<br />

Genetic<br />

Susceptibility<br />

Not Likely BRCA<br />

or Other Known<br />

Mutation Carrier<br />

Genetic Syndromes<br />

Genetics and Cancer<br />

Autosomal<br />

Dominant<br />

Lifetime<br />

Risk<br />

Other Cancers<br />

BRCA1 X 55-85% Ovary, liver, testis (male)<br />

BRCA2 X 25-60% Male breast, pancreas<br />

Li-Fraumeni X 60-90% Leukemia, sarcoma, adrenal<br />

Tumor<br />

Suppressor<br />

Genes<br />

Normal Breast Tissue<br />

DNA Damage: Hit 1<br />

Hormones,<br />

alcohol use,<br />

environmental<br />

factors?<br />

Cowden<br />

Syndrome<br />

Bannayan-<br />

Riley-<br />

Ruvalcaba<br />

X<br />

X<br />

30-50% Thyroid (and B9),<br />

meningioma<br />

30-50% Thyroid (also colon polyps,<br />

lipomas, macrocephaly,<br />

developmental disorders)<br />

DNA Damage: Hit 10<br />

Cancer<br />

Cancer Risk by Site for BRCA Carriers<br />

Consider Genetic Counseling/Testing<br />

• Breast cancer in two or more close relatives<br />

• Family <strong>with</strong> breast cancer that is premenopausal,<br />

bilateral, or multiple family members<br />

• Ovarian cancer<br />

• Male breast cancer<br />

• Ashkenazi Jewish ancestry and family history <strong>of</strong><br />

breast and/or ovarian cancer<br />

• Personal diagnosis <strong>of</strong> breast cancer before age 30<br />

From Risch et al. JNCI 2006


The Quick Genetic Risk Screen<br />

• Is there a family history <strong>of</strong><br />

breast cancer?<br />

– Young at onset<br />

– Bilateral<br />

– Multiple relatives<br />

– Male breast cancer<br />

• Ashkenazi Jewish ancestry<br />

• Are there other cancers in<br />

your family?<br />

Radiation Exposure at Young Age<br />

• Hodgkins Disease treated <strong>with</strong> mantle radiation (RR<br />

5.2)<br />

• Risk increases beginning 7-8 years after treatment<br />

• Risk peaks at about 15 years post treatment<br />

• Younger age at treatment = higher risk<br />

• Childrens Oncology Group<br />

– Annual mammography and MR beginning at age 25<br />

or 8 years after radiation treatment (the later <strong>of</strong> the<br />

two) if >20 Gy to the chest/mediastinum<br />

Clemons M. Cancer Treat Rev 2000<br />

Goss PE. J Clin Onc 1998<br />

HR Screening<br />

• 48 yo, lifetime risk<br />

37%<br />

T1 Post<br />

High Risk MRI Screening Results<br />

• 9 trials to date<br />

• 4485 women <strong>with</strong> 192 cancers<br />

DCIS, High Grade<br />

MIP<br />

• 20 – 60 Cancers/1000 women screened<br />

– compared to 3-7/1000 <strong>with</strong> mammography<br />

• Mean tumor size 0.7-2.0 cm<br />

• 65-100% node negative<br />

Screening <strong>of</strong> High Risk <strong>Women</strong> by Modality<br />

• 9 Trials<br />

• 192 cancers<br />

• 4485 women<br />

Adapted from Berg WA.<br />

AJR 2009.<br />

Cancers %<br />

Detected<br />

Mammo 70 36%<br />

US 34/86 40%<br />

Mammo + US 45/86 52%<br />

MRI 155 81%<br />

Mammo + MRI 178 93%<br />

Breast Cancer Risk Stratification<br />

Lifetime Risk<br />

Average Risk < 15%<br />

Associated Risk Factors<br />

Moderate Risk 15 – 20% • LCIS, ADH, ALH<br />

• Prior breast cancer<br />

• <strong>Dense</strong> breast tissue<br />

• Intermediate family history<br />

High Risk > 20-25% • Hereditary Breast and Ovarian<br />

Cancer (HBOC) syndrome (e.g.<br />

BRCA)<br />

• Other genetic mutations<br />

• Chest Radiation at a young age<br />

• Combination <strong>of</strong> risk factors


Breast Cancer Risk Factors<br />

Personal<br />

• Parity<br />

• Age at<br />

menarche<br />

Gail • Age Model at<br />

menopause<br />

• Hormone<br />

therapy<br />

• Obesity<br />

Breast Disease<br />

• LCIS<br />

Tyrer-Cuzick • ALH Model<br />

• ADH<br />

• DCIS<br />

• Breast density<br />

• Radiation<br />

exposure<br />

Genetic<br />

• BRCA carrier<br />

• Li-Fraumeni<br />

syndrome<br />

• Cowden Claus,<br />

BRCA Syndrome Pro,<br />

BOADICEA<br />

Model<br />

Gail Model<br />

http://www.cancer.gov/bcrisktool/<br />

Tyrer-<br />

Cuzick<br />

Model<br />

Automated Reporting<br />

http://www.ems-trials.org/riskevaluator/<br />

jackcuzick@cancer.org.uk<br />

Accuracy <strong>of</strong> Risk Models<br />

Model Evaluates Accuracy<br />

Gail<br />

Claus/BRCA Pro/<br />

BOADICEA<br />

Personal risk factors<br />

(age, parity, etc)<br />

0.48<br />

Family history 0.56<br />

Tyrer-Cuzick Comprehensive 0.81<br />

Models that Incorporate Breast<br />

Density Improve Accuracy<br />

• Breast Cancer<br />

Screening<br />

Consortium<br />

(BCSC) (Barlow<br />

WE. JNCI,<br />

2006).<br />

• BCDDP (Chen J.<br />

JNCI 2006)


Breast Cancer Risk Factors<br />

Personal<br />

• Parity<br />

• Age at<br />

menarche<br />

Gail • Age Model at<br />

menopause<br />

• Hormone<br />

therapy<br />

• Obesity<br />

Breast Disease<br />

• LCIS<br />

Tyrer-Cuzick • ALH Model<br />

• ADH<br />

• DCIS<br />

• Breast density<br />

• Radiation<br />

exposure<br />

Genetic<br />

• BRCA carrier<br />

• Li-Fraumeni<br />

syndrome<br />

• Cowden Claus,<br />

BRCA Syndrome Pro,<br />

BOADICEA<br />

Model<br />

ACS Guidelines for Screening MRI<br />

• Insufficient evidence to recommend for or against<br />

MRI screening<br />

– Lifetime risk 15-20% by BRCAPRO or other<br />

model based on family history<br />

– LCIS or ALH<br />

– ADH<br />

– Heterogeneously or extremely dense<br />

breast tissue on mammography<br />

– Personal history <strong>of</strong> breast cancer, including<br />

DCIS<br />

Supplemental Screening<br />

Breast Density: Impact on Mammography<br />

• Anatomic<br />

– Mammography<br />

– Tomosynthesis<br />

– US<br />

– CT<br />

• Functional<br />

– MRI<br />

– Diffusion Weighted<br />

<strong>Imaging</strong><br />

– Gamma imaging<br />

– PET<br />

87% 63%<br />

Sensitivity<br />

97% 89%<br />

Specificity<br />

Carney PA. Ann Int Med 2003<br />

Digital Mammography<br />

• ACRIN DMIST<br />

• Digital is more<br />

sensitive than filmscreen<br />

for dense tissue<br />

independent <strong>of</strong> age<br />

and menopausal status<br />

Tomosynthesis<br />

• Improves specificity by decreasing recall<br />

rate<br />

• May improve sensitivity, probably more for<br />

heterogeneous than extremely dense tissue<br />

Pisano Ed. NEJM, 2005


Digital Breast Tomosynthesis<br />

Tomosynthesis<br />

• Angled images<br />

• Reformatted as “slices”<br />

• Recall reduction 30-40%<br />

• May increase cancer<br />

detection<br />

• Increased radiation dose<br />

by 50%<br />

Poplack SP. AJR 2007<br />

Tomosynthesis<br />

Screening US<br />

ACRIN 6666/Avon trial<br />

• 2662 moderate and high-risk<br />

women had annual mammo +<br />

screening US, over 3 years<br />

• 111 cancers (110 women)<br />

• Additional cancers by US<br />

– 5.3 CA/1000 Year 1<br />

– 3.7 CA/1000 Y 2 & 3<br />

• Additional 14.7 CA/1000 by MR<br />

Berg WA. JAMA 2008<br />

Berg WA. JAMA 2012<br />

US has Low Specificity<br />

More Connecticut Experience<br />

• 8.9% PPV for US lesions<br />

• <strong>Women</strong> having screening mammogram and<br />

US<br />

– 10% will have a biopsy<br />

– 10-20% will have BI-RADS 3<br />

– 2.8% due to mammo finding<br />

– 7.8% due to US (7.0% for incident)<br />

• Six CT practices <strong>with</strong><br />

12 practice sites<br />

• 72,030 screening<br />

mammograms<br />

– 29,532 dense (41%)<br />

– 8,647 had screening<br />

US (29% <strong>of</strong> dense)<br />

Weigert J. Breast J 2012<br />

• Outcome<br />

– BI-RADS 1 or 2: 86%<br />

– BI-RADS 3: 9%<br />

– BI-RADS 4 or 5: 5%


More Connecticut Experience<br />

Outcome by Site<br />

• 429 Biopsies<br />

recommended<br />

• 11 lost to f/u<br />

• 28 (25) Cancers<br />

– Age 42-78 y<br />

– Mean size 1.9 cm,<br />

(range 4mm to 8 cm)<br />

– 21 invasive<br />

– Sensitivity 96.6%<br />

– PPV 6.7% (5.6%)<br />

– NPV 99.9%<br />

– 3.25 CA/1000 (2.9)<br />

Cystic Lesions<br />

Simple Cysts<br />

Simple<br />

Clustered<br />

microcysts<br />

BI-RADS 2<br />

• Peak between age 35-50<br />

• ACRIN 6666<br />

– 47% <strong>of</strong> participants over 3 years<br />

(48% bilateral)<br />

• 39% <strong>of</strong> postmenopausal<br />

• 65% <strong>of</strong> premenopausal<br />

Complicated<br />

Complex Mass<br />

Berg WA. Rad Clinics NA 2010<br />

Clustered Microcysts<br />

Clustered Microcysts<br />

Study<br />

Total<br />

Lesions<br />

Number Malignant (%)<br />

Berg, 2005 79 0 (0%)<br />

Chang, 2007 15 0 (0%)<br />

Daly, 2008 15 0 (0%)<br />

Berg, 2010 (ACRIN 6666) 104 1 (0.8%)


Clustered Microcysts:<br />

When to Consider Biopsy<br />

• Thick or nodular<br />

septations<br />

• Solid component<br />

Complicated Cysts<br />

Complicated Cysts<br />

Complicated Cysts<br />

Study Total Lesions Number Malignant (%)<br />

Kolb, 1998 126 0 (0%)<br />

Venta, 1999 308 1 (0.3%)<br />

Buchberger, 1999 133 0 (0%)<br />

Berg, 2003 38 0 (0%)<br />

Chang, 2007 35 0 (0%)<br />

Daly, 2008 228 1 (0.4%)<br />

Berg, 2010 (ACRIN 6666) 475 2 (0.4%)<br />

Berg WA. Rad Clinics NA 2010<br />

• ACRIN 6666 protocol<br />

– If <strong>with</strong>in a background <strong>of</strong><br />

simple cysts, then BI-RADS<br />

2<br />

– Solitary complicated cyst on<br />

first US, then BI-RADS 3<br />

– New or enlarging<br />

complicated cyst, then BI-<br />

RADS 4 <strong>with</strong> aspiration<br />

Berg WA. Rad Clinics NA 2010<br />

Types <strong>of</strong> Complex Masses<br />

Thick Walled Cyst + thick septations<br />

Intracystic Mass<br />

Mixed Cystic and Solid<br />

Complex Mass<br />

Study Total Lesions Number Malignant (%)<br />

Intracystic Mass<br />

Omori, 1993 21 10 (42%)<br />

Berg, 2003 18 4 (22%)<br />

Tea, 2009 19 4 (21%<br />

Thick Walled<br />

Berg, 2003 23 7 (30%)<br />

Chang, 2007 27 7 (26%)<br />

Tea, 2009 36 11 (31%)<br />

Complex Mass<br />

Omori, 1993 35 14 (40%)<br />

Berg, 2003 38 7 (18%)<br />

Chang, 2007 53 33 (62%)<br />

Berg WA. Rad Clinics NA 2010


Solid Mass <strong>with</strong> Benign Features<br />

• Benign<br />

– Round or oval shape<br />

– Parallel orientation<br />

– Circumscribed margin<br />

– Abrupt interface<br />

– Homogeneous echo pattern<br />

– Posterior acoustic<br />

enhancement<br />

– No suspicious features<br />

2 3 4A<br />

Study<br />

Solid Breast Masses:<br />

Benign Features on US<br />

Palpable vs.<br />

Non-palp<br />

Total<br />

Lesions<br />

Number Malignant<br />

(%)<br />

Stavros, 1995 Both 426 2 (0.5%)<br />

Graf, 2004 Palpable 157 0 (0%)<br />

Mainiero,<br />

2005<br />

Both 148 1 (0.7%)<br />

Graf, 2007 Non-palp 448 1 (0.2%)<br />

Raza, 2008 Both 356 3 (0.8%)<br />

Harvey, 2009 Palpable 375 1 (0.3%)<br />

TOTAL 1910 8 (0.4%)<br />

27 yo Bilateral Palp Lumps<br />

Multiple Bilateral<br />

Circumscribed Masses<br />

Left 2:00<br />

Right 9:00<br />

Left 4:00<br />

Right 11:00<br />

BI-RADS 2<br />

62 yo strong FH Solid Masses- When to Biopsy<br />

• NEW or enlarging finding<br />

on mammography<br />

• Suspicious features<br />

(margins, etc)<br />

• Palpable??<br />

• Older??


Automated Breast US (ABUS)<br />

ABUS<br />

• 239 lesions in 213<br />

women scheduled for<br />

surgical biopsy<br />

(Chinese population)<br />

• 85 cancers (35.6%)<br />

HHUS ABUS<br />

Sensitivity 90.6% 95.3%<br />

Specificity 82.5% 80.5%<br />

Accuracy 85.3% 85.8%<br />

Wang HY. Eur J Rad 2012<br />

PPV 74.0% 73.0%<br />

ABUS<br />

• 61 women scheduled to undergo US CNB<br />

• 14 cancers in 13 women<br />

• Three readers<br />

– Only 8-11 cancers were detected <strong>with</strong><br />

ABUS<br />

– Additional 4-10 false positives<br />

Chang JM. Acta Radiol 2011<br />

• 55 consecutive women scheduled for<br />

diagnostic US<br />

• Bilateral HH and ABUS<br />

• Five readers, blinded to HHUS and<br />

mammography outcome<br />

• 145 lesions; ABUS 74-88% detected<br />

ABUS: Cross Correlation <strong>with</strong><br />

HHUS<br />

• 395 women, heterogeneously or extremely dense tissue<br />

• Mammo + ABUS<br />

• If recalled, then HHUS performed<br />

– 110 lesions recalled due to abnormal ABUS<br />

• 44 (40%) not reproducible<br />

• 42 (38%) cysts<br />

• 22 (20%) solid masses<br />

• 2 (2%) duct ectasia<br />

– 15 biopsies, 4 cancers<br />

• 2 <strong>of</strong> 4 detected on ABUS, mammographically occult<br />

Roquemore A. RSNA 2011<br />

ABUS <strong>Dense</strong> <strong>Breasts</strong><br />

• 594 women<br />

• 10 cancers in 7 women<br />

– 3 cancers both mammo and ABUS<br />

– 2 cancers mammo only<br />

– 5 cancers ABUS only<br />

Barclay-White B. RSNA 2011


Breast CT<br />

Supplemental Screening<br />

• Small studies to-date<br />

• 79 women<br />

• CT significantly better<br />

for visualizing masses<br />

• Mammo better for<br />

calcifications<br />

• Anatomic<br />

– Mammography<br />

– Tomosynthesis<br />

– US<br />

– CT<br />

• Functional<br />

– MRI<br />

– Diffusion Weighted<br />

<strong>Imaging</strong><br />

– Gamma imaging<br />

– PET<br />

Lindfors KK. Radiology 2008<br />

MRI/Diffusion Weighted <strong>Imaging</strong><br />

Gamma <strong>Imaging</strong><br />

Fornasa F. J Clin Imag Sci 2011<br />

LumaGEM MBI System<br />

Contrast-Enhanced Mammography<br />

• GammaMedica<br />

– Single or Dual head<br />

• Pixel size 1.6 x 1.6<br />

mm<br />

• Detector area 15 x 20<br />

cm<br />

www.gammamedica.com<br />

www.gehealthcare.com


Screening Recall<br />

US/Tomosynthesis<br />

1<br />

1<br />

2<br />

2<br />

3<br />

1: Mammo<br />

MRI<br />

So Many Modalities…<br />

4<br />

FP<br />

Our Approach to Screening<br />

UVa Mammography Project


Breast Cancer Risk Stratification<br />

Lifetime<br />

Risk<br />

Cancer<br />

risk<br />

Low Risk ? 20-25% HG disease • Hereditary Breast and Ovarian Cancer (HBOC)<br />

syndrome (e.g. BRCA)<br />

MRI<br />

• Other genetic mutations<br />

• Chest Radiation at a young age<br />

• Combination <strong>of</strong> risk factors<br />

“The entire issue is complex,<br />

but the thing I’m most proud<br />

<strong>of</strong> is that we’re informing<br />

women, so a discussion starts<br />

from a great place. When<br />

advocacy runs ahead <strong>of</strong><br />

science, it’s dangerous, but<br />

when advocacy pushes<br />

science, it’s good.”<br />

ACR Bulliten<br />

Conclusions<br />

• Mammography is less able to detect cancer in dense<br />

breast tissue, and has more false positive recalls<br />

• Management <strong>of</strong> women <strong>with</strong> dense breast tissue is<br />

currently annual, preferably digital, mammography<br />

• 10% <strong>of</strong> women having screening mammo + US will have<br />

a biopsy. PPV only 5-8%.<br />

• Tomosynthesis may improve cancer detection for<br />

heterogeneous tissue, <strong>with</strong> less false positives<br />

• MRI is an alternative, but very expensive<br />

• Risk-based screening strategies make sense, but not ready<br />

for prime time

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