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Michael O’Connor, Ph.DDept. of Radiology
Mayo Clinic
Low Dose Molecular Breast
Imaging
This work has been funded in part by the following:National Institute of Health
Dept. of DefenseSusan G Komen Foundation
Mayo FoundationFriends for an Earlier Breast Cancer Test
Conflict of InterestDr. M.K. O’Connor Royalties - Gamma Medica
Research funding – GE HealthcareResearch support – MTTI
• ACR BI-RADS (qualitative score)• Used by radiologists as part of routine practice• ACR BI-RADS (qualitative score)• Used by radiologists as part of routine practice
Breast Density ClassificationBreast Density Classification
<25%<25% 25-49%25-49% 50-74%50-74% ≥75%≥75%BI-RADS 1 BI-RADS 2 BI-RADS 3 BI-RADS 4
Sens = 88%Sens = 88% 82%82% 69%69% 62%62%
Breast DensityComparative Relative Risks
Breast DensityComparative Relative Risks
Risk factor Relative riskBRCA mutation 20Lobular carcinoma in situ 8-10Dense breast parenchyma 4-6Personal history of breast cancer 3-4Family history (1° relative) 2.1Postmenopausal obesity 1.5
Risk factor Relative riskBRCA mutation 20Lobular carcinoma in situ 8-10Dense breast parenchyma 4-6Personal history of breast cancer 3-4Family history (1° relative) 2.1Postmenopausal obesity 1.5
“Mammographic density is perhaps the most undervalued and underutilized risk in studies
investigating the causes of BC.”
Breast Density LegislationBreast Density Legislation
Connecticut enacted similar legislation in 2009 and a comparable breast density patient education bill, SB 173, is scheduled to be heard in the California
Assembly this month.
Sensitivity of Mammogram, US, and MRIin Women at Increased Risk
Sensitivity of Mammogram, US, and MRIin Women at Increased Risk
Subjects Sensitivity Sensitivity SensitivityAuthor/year Country (no.) MMG (%) US (%) MRI (%)
Kuhl, 2000 Germany 192 33 33 100
Warner, 2004 Canada 236 36 33 77
Kriege, 2004 Netherlands 1,909 40 NA 71
Kuhl, 2005 Germany 529 33 40 91
Leach 2005 U.K. 649 40 NA 77
Sardanelli, 2006 3571 40 43 81
Subjects Sensitivity Sensitivity SensitivityAuthor/year Country (no.) MMG (%) US (%) MRI (%)
Kuhl, 2000 Germany 192 33 33 100
Warner, 2004 Canada 236 36 33 77
Kriege, 2004 Netherlands 1,909 40 NA 71
Kuhl, 2005 Germany 529 33 40 91
Leach 2005 U.K. 649 40 NA 77
Sardanelli, 2006 3571 40 43 81
ACRIN 66663-Year Screening Study of Ultrasound and Mammography in 2500
High-Risk Women
41 cancers detected20 by mammography (sens 50%)20 by ultrasound (sens 50%)
Mammography: 3% biopsy, 29% positiveUltrasound: 5% biopsy, 9% positive
Study PI – Wendie Berg: "Women contemplating breast ultrasound screening mustbe aware of the substantial risk of false positives“
Study Co-I – Etta Pisano: “based on the study results, it is difficult to determine whether screening ultrasound is worthwhile”
Breast MRIPoor specificity (highly variable: 50% - 90%)Patient acceptance of MRI?
• ACRIN 6666 trial
• 42% declined free MRI (25% due to claustrophobia)
Expensive (~10 times that of mammography)
Molecular Imaging of the Breast
PEM (Positron Emission Mammography)• Coincidence detection using 2 scanning arrays of LYSO crystals
• Clinical unit developed by Naviscan
BSGI (Breast Specific Gamma Imaging)• Single detector, multicrystal NaI based gamma camera
• Developed by Dilon Technologies
MBI (Molecular Breast Imaging)• Dual detector Cadmium Zinc Telluride based gamma cameras
• Clinical units developed by Gamma Medica and GE Healthcare
PEM (Positron Emission Mammography)
FOV: 16 cm x 24 cm2 scanning arrays of LYSO
2.4 mm resolution (in plane)8.0 mm resolution (cross-plane)(JNM 2009;50:1666-1675)
Patient fasting 4-6 hr.Inject 10 mCi F-18 FDGWait ~60 minutesObtain CC / MLO viewsScan time ~10 minutes / view
Molecular Imaging of the Breast
PEM (Positron Emission Mammography)• Coincidence detection using 2 scanning arrays of LYSO crystals
• Clinical unit developed by Naviscan
BSGI (Breast Specific Gamma Imaging)• Single detector, multicrystal NaI based gamma camera
• Developed by Dilon Technologies
MBI (Molecular Breast Imaging)• Dual detector Cadmium Zinc Telluride based gamma cameras
• Clinical units developed by Gamma Medica and GE Healthcare
BSGI (Breast Specific Gamma Imaging)
FOV: 15 cm x 20 cmSingle array of NaI crystals
3 mm intrinsic resolution~18% energy resolution
No patient fasting requiredInject 25-30 mCi Tc-99m sestamibiImage ~5 minutes post injectionObtain CC / MLO viewsScan time ~10 minutes / view
Molecular Imaging of the Breast
PEM (Positron Emission Mammography)• Coincidence detection using 2 scanning arrays of LYSO crystals
• Clinical unit developed by Naviscan
BSGI (Breast Specific Gamma Imaging)• Single detector, multicrystal NaI based gamma camera
• Developed by Dilon Technologies
MBI (Molecular Breast Imaging)• Dual detector Cadmium Zinc Telluride based gamma cameras
• Clinical units developed by Gamma Medica and GE Healthcare
Breast Phantom: Comparison between Systems*Breast Phantom: Comparison between Systems*
Tumor Depth
1cm
3 cm
5 cm
MC-NaI NaI CZT MC-CsI
*Hruska CB, et al. Nucl Med Commun, 2005; 26: 441-445
Cadmium Zinc Telluride (CZT) Detector
• Excellent Intrinsic Resolution = 1.6 mm / 2.5 mm
• Excellent Energy Resolution 4.0% / 6.5%
•• Can be operated at room temp
• No dead space – ideal for breast imaging
• Expensive – currently limited to small field of view detectors
• First commercial systems using CZT developed for nuclear cardiology
2.54 cm
Molecular Breast Imaging Procedure
• Patient receives an IV injection of a radiotracer (Tc-99m sestamibi)
• The tracer preferentially accumulates in cancer cells and is not influenced by breast density
• The breast is lightly compressed between the 2 gamma cameras, only light pain-free compression is necessary
• Imaging starts ~5 minutes post injection. Acquire CC and MLO views of each breast for 10 minutes / view
MBI Systems Currently at Mayo Clinic
GE Research Unit GM-I Research Unit GM-I Clinical Unit
Can MBI find lesions not visible on mammography?
1.1cm nodular density in upper inner right breast 9.5cm from the nipple
Can MBI find lesions not visible on mammography?
2 x 1 cm IDC with multiple satellite lesions confirmed as DCIS at surgery
Comparison of Screening MBI and MammographyComparison of Screening MBI and Mammography
~1000 patients - asymptomaticCompare MBI and mammography in patients withdense breasts at increased risk of breast cancer
MBI performed with 20 mCi Tc-99m sestamibiBreast status assessed @ 12-months
Question – is MBI a viable screening adjunct to mammography in patients with dense breasts?
~1000 patients - asymptomaticCompare MBI and mammography in patients withdense breasts at increased risk of breast cancer
MBI performed with 20 mCi Tc-99m sestamibiBreast status assessed @ 12-months
Question – is MBI a viable screening adjunct to mammography in patients with dense breasts?
Diagnostic accuracy of screening mammography and MBI
75% (3/4)75% (3/4)50% (2/4)50% (2/4)25% (1/4)25% (1/4)Sensitivity (DCIS)Sensitivity (DCIS)
28% (10/36)28% (10/36)
7.8% (73/936)7.8% (73/936)
93% (861/925)93% (861/925)
100% (8/8)100% (8/8)
83% (10/12)83% (10/12)
MBI aloneMBI alone
24% (11/45)24% (11/45)
16% (146/936)16% (146/936)
85% (789/925)85% (789/925)
100% (8/8)100% (8/8)
92% (11/12)92% (11/12)
Mammography Mammography plus MBIplus MBI
25% (2/8)25% (2/8)Sensitivity Sensitivity (Invasive cancers)(Invasive cancers)
91% (839/925)91% (839/925)SpecificitySpecificity
9.5% (89/936)9.5% (89/936)Recall RateRecall Rate
18 % (3/17)18 % (3/17)PPVPPV
25% (3/12)25% (3/12)Sensitivity (all Sensitivity (all cancers)cancers)
Mammography Mammography alonealone
Rhodes et al, Radiology 2011;258:106-118
13.5 mm ILC (total extent 5.1 cm)
9 mm DCIS7 mm tubulolobular ca
17 mm IDC + DCIS
9 mm IDC9 mm ILC10 mm + 16 mm IDC
Mammographically occult cancers detected on MBI
Hendrick R.E.Radiation Doses and Cancer Risks from Breast Imaging StudiesRadiology. 2010 Oct; 257(1):246-53.
O'Connor MK, Li H, Rhodes DJ, Hruska CB, Clancy CB, Vetter RJ.Comparison of radiation exposure and associated radiation-induced cancer risks from mammography and molecular imaging of the breast.Med Phys. 2010 Dec;37(12):6187-98.
Relative Radiation RisksRadiation risk to patients
Mammogram ~ 0.5 mSvPEM (10 mCi F-18 FDG) ~ 7 mSvBSGI (25-30 mCi Tc-99m mibi) ~ 9 mSvMBI (20 mCi Tc-99m mibi) ~ 6 mSv
For pop. of 100,000 women undergoing above procedures at age 40, estimated cancer mortality
Mammogram ~ 2PEM (10 mCi F-18 FDG) ~ 30BSGI (25-30 mCi Tc-99m mibi) ~ 35MBI (20 mCi Tc-99m mibi) ~ 24
Where does the estimate of cancer
mortality come from ?
Based on Table 12D from BEIR VII
100,000 women aged 30
Single dose of
100 mGy
Over their lifetime
…range of plausible values for LAR is labeled a “subjective confidence interval” to emphasize its dependence on
opinions in addition to direct numerical observation (BEIR VII, page 278)
Risk Models
•• Lifetime Attributable Risk (LAR)Lifetime Attributable Risk (LAR)•• ““Because of the various sources Because of the various sources
of uncertainty it is important to of uncertainty it is important to regard specific estimates of LAR regard specific estimates of LAR with a healthy skepticism, placing with a healthy skepticism, placing more faith in a range of possible more faith in a range of possible valuesvalues”” (BEIR VII, page 278)(BEIR VII, page 278)
For pop. of 100,000 women exposed to naturally occurring background radiation from age 0-80, estimated cancer mortality
Background radiation
U.S. Average (3.1 mSv/year) ~1010
Colorado (~4.5 mSv/year) ~1460
Florida (~2.5 mSv/year) ~ 810
Relative Radiation Risks
0.00
2000.00
4000.00
6000.00
8000.00
10000.00
12000.00
14000.00
16000.00
18000.00
0 20 40 60 80 100
Age(years)
Cum
ulat
ive
Can
cer M
orta
lity
U.S. Cancer MortalityMinnesota - 3 mSv/yearColorado - 4.5 mSv/year50 mSv at age 40
Cancer mortality in 100,000 subjects
240 deaths
Estimated deaths due to background
radiation.No epidemiological evidence to support
these numbers
0
100
200
300
400
500
MBI Tech
General NMT
Cardiology NMT
Radiographer
mre
m
Ann
ual T
echn
olog
ist D
ose
MBI: Implications for Radiation Exposure to the Technologist from 8 patients / day, 20 mCi / patient
Pletta CK, et al. J Nucl Med 2009; 50 (Suppl 2): 428P.
Radiation Dose Reduction
Reduce dose / increase scan time ?- already at ~40 minutes !!
Improve the technology- detector / collimator optimization- energy window optimization- noise reduction algorithms- composite image from opposing detectors
Molecular Breast ImagingDetector / Collimator Optimization
Clinical studies show average breast thickness = 6 cmHence each collimator optimized over range 0 – 3 cm
Monte Carlo simulations (MCNP) used tooptimize detector and collimator design
What is the optimal pixel size and collimation to achieve a spatial resolution = 5 mm at 3 cm?
Optimal pixel size for near-field imaging (0-3 cm)
100%
65%
45%
0.30
Molecular Breast ImagingConventional Collimation
CZT: 1.6 x 1.6 mm pixel
Hexagonal holeCollimator:2.5 mm hole diameter
Molecular Breast ImagingConventional Collimation
CZT: 1.6 x 1.6 mm pixel
Square holeCollimator:~1.6 mm hole diameter
Molecular Breast ImagingCollimator specifications
Results from Simulation
Better resolution@ 3 cm
Factor of ~2 gain in sensitivity
expected
Molecular Breast ImagingMatched Collimation on CZT detectors
Tungsten collimator
Square holes
Each hole matched to individual pixel on
CZT detector
Molecular Breast ImagingEffect of Optimal Collimation – CZT Detector MBI – Radiation Dose Reduction
Four dose reduction techniques have been developed and evaluated in order to reduce the administered dose of Tc-
99m sestamibi needed for MBI
- collimator optimization
- energy window optimization- noise reduction algorithms
- composite image from opposing detectors
Wide energywindow
(110-154 kev)
~1.4 gain insensitivity
System sensitivity – effect of collimation and energy window
Detector Collimator Energy Window
counts/min/μCi
Relative gain in
counts/pixel
CZT1.6 mm
pixel
Standard Standard, 140 ± 10% 312 1.0
Standard Wide, 110 – 154 keV 391 1.3
Tungsten design Standard 140 ± 10% 905 2.9
Tungsten design Wide, 110 – 154 keV 1132 3.6
CZT2.5 mm
pixel
Standard Standard, 140 ± 10% 254 1.0
Standard Wide, 112 – 154 keV 331 1.3
optimized design Standard 140 ± 10% 534 2.1
optimized design Wide, 112 – 154 keV 705 2.8
GMI LumaGem@
1 cm
GMI LumaGem@
3 cm
Contrast to Noise Ratio – Lumagem 3200s Contrast to Noise Ratio – Discovery 750b
MBI Dose Reduction
Comparison of count densities in patient studiesSystem # Studies Ratio of Cts (New: Old)GM CZT 38 4.9 + 1.6
Dose
20 mCi
8 mCi
MBI Dose ReductionRelative Gain = 4.9 + 1.6
MBI – Radiation Dose Reduction
Four dose reduction techniques have been developed and evaluated in order to reduce the administered dose of Tc-
99m sestamibi needed for MBI
- collimator optimization
- energy window optimization
- noise reduction algorithms
- composite image from opposing detectors
Noise Reduction / Combined Images from Opposite Detectors
Combined Images:Gaussian Neighborhood Geometric Mean (GNGM)
Noise Reduction:Non-Local Means (NLM) denoising filterWide Beam Reconstruction (UltraSPECT)
Image Generation & analysisFilter parameters and order of application of noisereduction algorithms yet to be optimized
Gaussian Neighborhood / Geometric Mean Algorithm
8 mCiRaw data
4 mCiGNGM / NLM
4 mCiWBR
Comparison of Noise Reduction algorithms
Comparison of Low-dose MBI and Mammographyin a Screening Environment
Comparison of Low-dose MBI and Mammographyin a Screening Environment
Question – is low-dose MBI (~4 mCi) a viable screening adjunct to mammography in patients with dense breasts?
Compare MBI and mammography in asymptomatic patients with dense breasts on prior mammogram
2400 patients over next 2 years
1100 patients imaged as of 7/25/1114/15 cancers detected on MBI1/15 cancer detected on mammography1 cancer missed by MBI and mammography
Question – is low-dose MBI (~4 mCi) a viable screening adjunct to mammography in patients with dense breasts?
Compare MBI and mammography in asymptomatic patients with dense breasts on prior mammogram
2400 patients over next 2 years
1100 patients imaged as of 7/25/1114/15 cancers detected on MBI1/15 cancer detected on mammography1 cancer missed by MBI and mammography
Comparison of Low-dose MBI and Mammographyin a Screening Environment
Screening Mammogram(negative)
Comparison of Low-dose MBI and Mammographyin a Screening Environment
MBI (positive)
Comparison of Low-dose MBI and Mammographyin a Screening Environment
Comparison of Low-dose MBI and Mammographyin a Screening Environment
ScreeningMammogram
(negative)
MBI (20 mCi)(negative)
March 2008
MBI (4 mCi)(positive)
March 2011
2 cm IDC
Comparison of Low-dose MBI and Mammographyin a Screening Environment
Comparison of Low-dose MBI and Mammographyin a Screening Environment
ScreeningMammogram
(negative)
MBI (4 mCi)(positive)
Ultrasound6.5 mm Invasive
Tubular carcinoma
Comparison of Low-dose MBI and Mammographyin a Screening Environment
ScreeningMammogram
(negative)
MBI (2 mCi)(positive)
Ultrasound~3 cm Invasive
Lobular carcinoma
Comparison of Low-dose MBI and Mammography
Screening Mammogram(negative)
MBI (2 mCi)
MBIMultifocal DCIS with ADH
Advantages of MBI•• Compared to mammography:Compared to mammography:
•• Higher sensitivity in dense breastsHigher sensitivity in dense breasts•• Comparable radiation burden to the body Comparable radiation burden to the body •• Less compression, improved patient comfortLess compression, improved patient comfort
•• Compared to MRICompared to MRI•• Comparable sensitivity, better specificityComparable sensitivity, better specificity•• Offers option if contraindication to MRI Offers option if contraindication to MRI
(claustrophobia, pacemaker, clips)(claustrophobia, pacemaker, clips)•• Avoids gadolinium and potential for NSFAvoids gadolinium and potential for NSF•• Easy to interpret Easy to interpret –– 8 images vs 1000s for MRI8 images vs 1000s for MRI• 5-7 fold less expensive than MRI
Screening for Breast Cancer•• Mammography has proven to be an Mammography has proven to be an
excellent screening technique for the excellent screening technique for the majority of womenmajority of women
•• SubSub--optimal in women with dense breast optimal in women with dense breast tissuetissue
•• Alternative techniques are requiredAlternative techniques are required•• Possible techniques include ultrasound, Possible techniques include ultrasound,
MRI and lowMRI and low--dose molecular imagingdose molecular imaging•• Cost and specificity will be key factors to Cost and specificity will be key factors to
acceptance of any adjunct screening acceptance of any adjunct screening techniquetechnique