22Mitch-UncertaintiesinDosimetry 26
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Transcript of 22Mitch-UncertaintiesinDosimetry 26
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Treatment of UncertaintiesTreatment of Uncertainties
in Radiation Dosimetryy
Michael G Mitch Ph D 1Michael G. Mitch, Ph.D.
Larry A. DeWerd, Ph.D.2
Ronaldo Minniti, Ph.D.1o do , . .
Jeffrey F. Williamson, Ph.D.3
1Physics Laboratory, National Institute of Standards and Technology (NIST)2Deptartment Of Medical Physics, University of Wisconsin-Madison
3Department of Radiation Oncology, Virginia Commonwealth University
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Why is Uncertainty Analysis Important?
1. Assessment of the quality of a measurement or calculation
2. Quantitative comparison of results from different investigators
3. Critical analysis of measurement or calculation method
“Have I thought about all possible factors that influence the result ofmy measurement or calculation?”my measurement or calculation?
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D = 14 28 mGy / s.
Dw = 14.28 mGy / s
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D = 14 28 mGy / s.
Dw = (14.28 ± 0.12) mGy / s.
Dw = 14.28 mGy / s
w
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D = 14 28 mGy / s.
Dw = (14.28 ± 0.12) mGy / s.
Dw = 14.28 mGy / s
Uncertainty Component Type A Type B(%) (%)
w
(%) (%)
Heat defect 0.30Reproducibility of measurement groups 0.15Beam attenuation from glass wall 0.10Beam attenuation from calorimeter lid 0.05Field size 0.23Vessel positioning 0.02Thermistor calibration 0.01Water density 0 02Water density 0.02
Quadratic sum 0.16 0.39
Relative combined standard uncertainty 0.42 %
Relative expanded uncertainty (k = 2) 0.84 %
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Error vs. Uncertainty
Error = Difference between a measured or calculated value of a quantity and the “true” value (unknowable)
Uncertainty = An interval about the average value of a series of measurementsl l ti hi h ithi t i l l f fid i b li dor calculations which, within a certain level of confidence, is believed
to contain the “true” value of a quantity
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Error vs. Uncertainty
Error = Difference between a measured or calculated value of a quantity and the “true” value (unknowable)
Uncertainty = An interval about the average value of a series of measurementsl l ti hi h ithi t i l l f fid i b li dor calculations which, within a certain level of confidence, is believed
to contain the “true” value of a quantity
NOTE: A measurement or calculated result with a low uncertainty is notnecessarily a result of high quality.
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Method of Classifying Uncertainties
Type A Uncertainty = calculated by statistical methods
Type B Uncertainty = evaluated by other means
1981 – CIPM (Comité International des Poids et Mesures)
1993 – GUM (Guide to the Expression of Uncertainty in ) SO ( i l O i i fMeasurement), ISO (International Organization for
Strandardization)
1994 NIST (National Institute of Standards and Technology)1994 – NIST (National Institute of Standards and Technology) Technical Note 1297
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Method of Classifying Uncertainties
Type A Uncertainty = calculated by statistical methods
Type B Uncertainty = evaluated by other means
Random Effect = the variation in the results of measurements or calculationsthat averages to the (true value ± bias) over many iterations
Systematic Effect = an error that is constant for each iteration = bias (unknown)
Precision = random effects only
Accuracy = random and systematic effects
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Method of Evaluating Uncertainties
Type A Uncertainty = standard deviation of the mean, uA = s
2/1
1
2)()1(
1
n
ii zz
nns
n
iiz
nz
1
1
Type B Uncertainty = scientific judgment, uB
1 instrument manufacturer’s specifications1. instrument manufacturer s specifications
2. investigator’s knowledge and experience
32
aauB
a- a+
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Combined Standard Uncertainty, uc
),...,,( 21 Nxxxfy
2/112 N N N fff
1
1
1 1
2 ),(2)(
N
i
N
i
N
ijji
jii
ic xxu
xf
xfxu
xfu
2 2 2( ) ( ) ( )i A i B iu x u x u x
n
kjjkiikji xxxx
nxxu
1))((
11),(
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Combined Standard Uncertainty, uc
),...,,( 21 Nxxxfy
2/112 N N N fff
1
1
1 1
2 ),(2)(
N
i
N
i
N
ijji
jii
ic xxu
xf
xfxu
xfu
2 2 2( ) ( ) ( )i A i B iu x u x u x
n
kjjkiikji xxxx
nxxu
1))((
11),(
THE LAW OF PROPAGATION OF UNCERTAINTY
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Combined Standard Uncertainty, uc
2/12
If all variables xi are independent, then u(xi, xj) = 0
2/1
1
22
)(
N
ii
ic xu
xfu
21 xxy
Sums and differences Products and quotients
21xxy
21 xxy 121 xxy
2/12
22
21
21
2 )()()()( xuxuxuxuu BABAc
2/12
2
2
2
2
2
2
1
1
2
1
1 )()()()(
xxu
xxu
xxu
xxu
yu BABAc
2/12222 2/12
22
21
21
2 )(%)(%)(%)(%% xuxuxuxuu BABAc
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Interpretation of y ± uc
• For a normal distribution with mean and standard deviation , the interval ± contains 68.27 % of the distribution.
A i h h di ib i i d i h h l f• Assuming that the distribution associated with the results from our measurementsor calculations is approximately normal (and we perform enough iterations), thenthe interval y ± uc contains about 68 % of the distribution, and we state that the “true” value is believed to lie within this interval with a 68 % level of confidencetrue value is believed to lie within this interval with a 68 % level of confidence.
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Expanded Uncertainty, V
• When the results of measurements and calculations are to be used wherehealth and safety are a concern (such as in medical physics), an expandeduncertainty is used.
V = kuV = kuc
k is the coverage factor
• NIST primary standards for all dosimetric quantities in medical physics• NIST primary standards for all dosimetric quantities in medical physicsuse k = 2, corresponding to an interval with a 95 % level of confidence.
2
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Student’s t
• If the number of measurements is small, one should consider using the t valueto calculate a confidence interval.
y ± tuc
Deg. offreedom
( = n – 1)68.27 %(k = 1)
95.45 %(k = 2)
No. ofmeas.
(n)
2 1 1.84 13.97
10 9 1 06 2 3210 9 1.06 2.32
20 19 1.03 2.14
∞ 1.00 2.00
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Uncertainty Budget, NIST SK Standard for 125I seeds
jj
iidetdr
effairairK QKKQKMKK
Vd
eWdQKS )(),()()(
22
Net current, sI 0.06
Value Type A (%) Type B (%)
Net current, s 0.06),(det QKM
eW / 33.97 J / C - 0.15Air density, ρair 1.196 mg / cm3 - 0.03Aperture distance, d - 0.24Effective chamber volume, Veff 0.11 0.01Decay correction, K1 T1/2 = 59.43 d - 0.02Recombination < 1 004 0 05)(KK Recombination, < 1.004 - 0.05Attenuation in filter, K3(Q) 1.0295 - 0.61Air attenuation in WAFAC, K4(Q) 1.0042 - 0.08Source-aperture attenuation, K5(Q) 1.0125 - 0.24Inverse-square correction, K6 1.0089 - 0.01Humidity, K7(Q) 0.9982 - 0.07
)(KKdr
Humidity, K7(Q) 0.9982 0.07In-chamber photon scatter, K8(Q) 0.9966 - 0.07Source-holder scatter, K9 0.9985 - 0.05Electron loss, K10 1.0 - 0.05Aperture penetration, K11(Q) 0.9999 - 0.02External photon scatter, K12(Q) 1.0 - 0.17
Combined standard uncertainty, uc (s2 + 0.7622)1/2
Expanded uncertainty, V 2uc
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AAPM TG-138: Photon Brachytherapy Source Dosimetric Uncertainty Analysis
Larry DeWerd (Chair), Geoffrey Ibbott, Ali Meigooni, Michael Mitch, Mark Rivard, Kurt Stump, and Bruce Thomadsen
1 M t d M t C l t i ti1. Measurement and Monte Carlo uncertainties
2. Uncertainty in TG-43 formalism parameters
3. Transfer of NIST SK standard to ADCLs
4. Uncertainty in clinical measurements
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Measurement Traceability for Brachytherapy Sources
sourcessourcesSK
Manufacturersecondary standardADCL
verification forwell-ionization
chamberssources
verification fortreatment planning
Clinic SKClinic
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Measurement Traceability for Brachytherapy Sources – Uncertainties
seedSK (± 0.8 %)
seed
ManufacturerADCL
SK / IADCL (± 0.9 %)
Clinic
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Measurement Traceability for Brachytherapy Sources – Uncertainties
ManufacturerADCLd
SKADCL (± 1.1 %)
seed
WICK ( )
SKADCL / IClinic (± 1.2 %)
Clinic
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Measurement Traceability for Brachytherapy Sources – Uncertainties
ManufacturerADCL
WICseed (SK
M)
Clinic SKClinic (± 1.3 %)
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Measurement Traceability for Brachytherapy Sources – Uncertainties
Step in chain
Measurement Description Quantity (Units) Relative Propagated Uncertainty (%)
1 NIST WAFAC calibration SK (U) 0.80
2 ADCL well-ion chamber calibration SK / IADCL (U / A) 0.94
3 ADCL calibration of seed from manufacturer SKADCL (U) 1.06
4 ADCL calibration of Clinic well-ion chamber SKADCL / IClinic (U / A) 1.17
5 Clinic measures seed air-kerma strength SKClinic (U) 1.27
Expanded uncertainty (k = 2) SKClinic (U) 2.54
Step in chain
Measurement Description Quantity (Units) Relative Propagated Uncertainty (%)y ( )
(1) NIST WAFAC calibration SK (U) 0.80
6 Manufacturer well-ion chamber calibration SK / IM (U / A) 0.94
7 Manufacturer calibration of QA seed SKM (U) 1.06
8 Manufacturer calibration of QA well-ion chamber
SKM / IM (U / A) 1.17
9 Manufacturer calibrates seed for Clinic SKM (U) 1.27
10 Manufacturer places seed in 2 % bin SKM (U) 1.40
Expanded uncertainty (k = 2) SKM (U) 2.80
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Does SKClinic Agree With SK
M ?
SKClinic = (1.034 ± 0.026) U
SKM = (1.000 ± 0.028) U
1.08
1.04
1.06
1.02
S K (U
)
Cli i
0.98
1.00 Clinic
0.96Manufacturer
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Degree of Equivalence
SKClinic – SK
M < V 2Clinic + V 2M – V 2NIST
0.08
0.06
(U)
0.02
0.04
Clin
ic -
SK
M
0.00
SK
C
-0.02
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AAPM
Board of Directors
Science Council
Therapy Physics Committee
Brachytherapy SC Calibration Laboratory Accreditation SC
Low Energy Brachytherapy Source Dosimetry WG ADCLs
High Energy Brachytherapy Source Dosimetry WG
Brachytherapy Source Registry WG
Special Brachytherapy Modalities WG
Robotic Brachytherapy WG
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AAPM
Board of Directors
Science Council
Therapy Physics Committee
Brachytherapy SC Calibration Laboratory Accreditation SC
Low Energy Brachytherapy Source Dosimetry WG ADCLs
High Energy Brachytherapy Source Dosimetry WG
Brachytherapy Source Registry WG
Special Brachytherapy Modalities WG
Robotic Brachytherapy WG
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Recommendations of the Calibration Laboratory Accreditation SC:
New source
1 5 sources are sent to NIST for S calibration well chamber1. 5 sources are sent to NIST for SK calibration, well chamber measurements (SK / I), and spectrum analysis
2 If (S / I) for each source is within ± 1 00 % of average 3 sources are2. If (SK / I) for each source is within ± 1.00 % of average, 3 sources are sent to the ADCLs, and 2 sources are returned to the manufacturer or sent to a dosimetry investigator for measurement of D(r, )
.
3. If (SK / I) is out of tolerance for one or more sources, another set of 5 sources is sent by the manufacturer to NIST
f M d Ph 31 (3) M h 2004 675 681ref: Med. Phys. 31 (3), March 2004, pp. 675-681.
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Measurement Traceability for Brachytherapy Sources – New Source
5 sourcesSK
ManufacturerADCL
Clinic
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Measurement Traceability for Brachytherapy Sources – New Source
2 sources3 sourcesSK
Manufacturersecondary standardADCL1 ADCL2 ADCL3
(SK / I)0 SK / I ?
ADCL calibration date
Clinic
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Measurement Traceability for Brachytherapy Sources - Clinics
ManufacturerADCL
well-ionizationchambers
Clinic(SK / I)ADCL
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Measurement Traceability for Brachytherapy Sources - Clinics
ManufacturerADCL
verification forsources (SK
M)verification for
treatment planning
Clinic SKClinic(SK / I)ADCL
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Recommendations of the Calibration Laboratory Accreditation SC:
QA for sources with established NIST SK standard
1 3 sources sent to NIST (preferably within 6 months but not exceeding1. 3 sources sent to NIST (preferably within 6 months but not exceeding 1 year) for SK calibration and (SK / I) evaluation
2 If (S / I) for each source is within ± 2 00 % of established2. If (SK / I) for each source is within ± 2.00 % of established (SK / I) at NIST or the ADCLs, no action needs to be taken
3 If (S / I) is out of tolerance the cause should be investigated3. If (SK / I) is out of tolerance, the cause should be investigated, and another set of 3 sources is sent by the manufacturer to NIST and the ADCLs
4. If (SK / I) remains out of tolerance for the second set of source measurements, discrepancies among the ADCLs and NIST should be resolved quicklybe resolved quickly
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Measurement Traceability for Brachytherapy Sources – Annual QA
3 sources3 sourcesSK
ManufacturerADCL1 ADCL2 ADCL33 sources
(SK / I)t
± 2.00 %vs.
(SK / I)0
Clinic
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Well-ionization Chambers
Note that due to the use of well chambers of different designs by NISTand the 3 ADCLs, discrepancies in tolerance level achievement do occur.
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Control Chart, I / SK, seed “E”
5.5
5.7
5.9
A /
U)
Jul02 Aug02 Oct04 Jan05 Oct05 May06 Sep06 Nov06 May07 Jan08
4 9
5.1
5.3
I / S
K (p
A
4.9
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Control Chart, I / SK, seed “E”
5.5
5.7
5.9
A /
U)
Jul02 Aug02 Oct04 Jan05 Oct05 May06 Sep06 Nov06 May07 Jan08
4 9
5.1
5.3
I / S
K (p
A
4.9
1.05
Manufacturer vs. NIST (SKM / SK
NIST)
1.02
1.03
1.04
1.05
/SK
NIS
T
Oct04 Jan05 Oct05 May06 Sep06 Nov06 May07 Jan08
0.99
1.00
1.01
S KM
/
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Fluorescence K / Decay K, seed “E”
0.6
0.8
1.0
x
100
Jul02 Aug02 Oct04 Jan05 Oct05 May06 Sep06 Nov06 May07 Jan08
0 0
0.2
0.4
0.6
F K
/
D K
0.0
Manufacturer vs. NIST (SKM / SK
NIST)1.05
1.02
1.03
1.04
1.05
/SK
NIS
T
Oct04 Jan05 Oct05 May06 Sep06 Nov06 May07 Jan08
0.99
1.00
1.01
S KM
/
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Control Chart, I / SK, seed “E”
5.5
5.7
5.9
A /
U)
Jul02 Aug02 Oct04 Jan05 Oct05 May06 Sep06 Nov06 May07 Jan08
4 9
5.1
5.3
I / S
K (p
A
ADCLreset
4.9
1.05
Manufacturer vs. NIST (SKM / SK
NIST)
1.02
1.03
1.04
1.05
/SK
NIS
T
Oct04 Jan05 Oct05 May06 Sep06 Nov06 May07 Jan08
0.99
1.00
1.01
S KM
/
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Control Chart, I / SK, seed “E”
5.5
5.7
5.9
A /
U)
Jul02 Aug02 Oct04 Jan05 Oct05 May06 Sep06 Nov06 May07 Jan08
4 9
5.1
5.3
I / S
K (p
A
ADCLreset
4.9
1.05
Manufacturer vs. NIST (SKM / SK
NIST)
1.02
1.03
1.04
1.05
S KN
IST
Oct04 Jan05 Oct05 May06 Sep06 Nov06 May07 Jan08
0.99
1.00
1.01
SKM
/
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Manufacturer vs. NIST (SKM / SK
NIST)
1.031.041.05
4 5 %
0 991.001.011.02 3.0 % 3.0 %
4.5 %
0.960.970.980.99
Uncertainty of S M from calibration certificate
3 %5 %
0.95103Pd 125I
Uncertainty of SK from calibration certificate
Overall Average = 1.001, = 0.008
Source manufacturers have generally been successful in transferring the NIST SK standard to their g y g Kfacilities. However, there is much variation with respect to the magnitude and precision of reported uncertainties on calibration certificates, if uncertainties are reported at all.
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Uncertainty in Secondary Standards based onWell-Ionization Chamber MeasurementsWell Ionization Chamber Measurements
To minimize uncertainty:
• Maintenance of secondary standards at ADCLs (AAPM recommendations)
1) NIST receives a batch of 3 seeds of each design annually
2) NIST characterization measurements detect normal manufacturing variability and anomalous sources
To quantify uncertainty:To quantify uncertainty:
• Utilize control charts for results of characterization measurements
1) C l l d d d i i ( ) d f l f I / S f1) Calculate standard deviation (s) and range of values of I / SK for seeds with a significant calibration history at NIST (includes 3 103Pd and 8 125I source models), s k = 1 uncertainty component
2) Study variations in measured spectra and anisotropy (A) to distinguish normal manufacturing variability from design change
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1 4%
Standard Deviation and Range of (I / SK)
0 8%
1.0%
1.2%
1.4%max = 1.3 %103Pd 125I
0 2%
0.4%
0.6%
0.8%, I / SK
min = 0.5 %
0.0%
0.2%
6.0%
1 2 3 Model # 4 5 6 7 8 9 10 11
4.0%
5.0%
6.0%103Pd 125I
1.0%
2.0%
3.0%Range, I / SK ± 2 %AAPM
tolerance
0.0%
%level
1 2 3 Model # 4 5 6 7 8 9 10 11
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Range of (Ag K / ) and (I / SK)
20%
25%
30%125I
Note wide variationin admixture of Agfluorescence x rayscausing range of
/ dRange, Ag K /
5%
10%
15%I / SK to exceedAAPM tolerancelevel (Model # 11)
hi d d l i
6 0%
0%
5% This seed model isno longer produced
1 2 3 Model # 4 5 6 7 8 9 10 11
4.0%
5.0%
6.0%103Pd 125I
1.0%
2.0%
3.0% ± 2 %AAPM
tolerance
Range, I / SK
0.0%
1.0%level
1 2 3 Model # 4 5 6 7 8 9 10 11
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American Association of Physicists in Medicine (AAPM)
Board of Directors
Science Council
Therapy Physics Committee
Brachytherapy SC Calibration Laboratory Accreditation SC
Low Energy Brachytherapy Source Dosimetry WG ADCLs
High Energy Brachytherapy Source Dosimetry WG
Brachytherapy Source Registry WG
Special Brachytherapy Modalities WG
Robotic Brachytherapy WG
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American Association of Physicists in Medicine (AAPM)
Board of Directors
Science Council
Therapy Physics Committee
Brachytherapy SC Calibration Laboratory Accreditation SC
Low Energy Brachytherapy Source Dosimetry WG ADCLs
High Energy Brachytherapy Source Dosimetry WG
Brachytherapy Source Registry WG
Special Brachytherapy Modalities WG
Robotic Brachytherapy WG
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Low Energy Brachytherapy Source Dosimetry WG
TG-43 Report (1995)1. Dosimetry formalism introduced2. Consensus datasets for 2 125I, 1 103Pd, and 1 LDR 192Ir seeds
TG-43U1 (2004)1. Dosimetry formalism updated (includes NIST WAFAC SK standard)2 C d t t f 6 125I d 2 103Pd d2. Consensus datasets for 6 125I and 2 103Pd seeds3. Recommended dosimetry methodology (TLD, Monte Carlo)
TG-43U1S1 (2007)( )1. Consensus datasets for 7 125I and 1 103Pd seeds2. Interpolation and extrapolation methods
TG-43U1S2 (in preparation)1. Consensus datasets for 2 125I, 2 103Pd, 1 131Cs seeds…2. Experimental method evaluation (TLD powder in water, photon spectrometry radiochromic film)spectrometry, radiochromic film)
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Update of AAPM Task Group No. 43 Report: A Revised AAPM Protocol for Brachytherapy Dose Calculations
(TG-43U1)(TG 43U1)
Mark Rivard, Bert Coursey, Larry DeWerd, William Hanson, Saiful Huq, Geoffrey Ibbott, Michael Mitch, Ravinder Nath, and Jeffrey Williamsony y
• Specification of measurement and Monte Carlo calculation methodologiesincludes a comprehensive uncertainty analysis
• Good practice for Monte Carlo calculations includes:Type A uncertainty component ≤ 2 % at r ≤ 5 cm for dose rateType A uncertainty component ≤ 1 % for air-kerma
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TG-43 Formalism
KSrD ),( 00
),()(),(
),(),(
00
rFrgrGrG
SrD LL
LK
Dose rate in water
)(rG 122 )4/()0( LrrG
Geometry Function
Dose rate constant (NIST-traceable SK)
sin
),(Lr
rGL )4/()0,( LrrGL
Radial Dose Function 2D Anisotropy FunctionD )( 1
),(),(
),(),(
)(0
00
00
0
rGrG
rDrD
rgX
XX
Radial Dose Function
),(),(
),(),(),( 0
0
rGrG
rDrDrF
L
L
2D Anisotropy Function
KSrD ),( 00 r0 = 1 cm
0 = / 2
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Uncertainty of Dose Rate Constant
EXP MC
Component Type A Type B C T A T BComponent Type A Type B(%) (%)
Repeated TLD measurements 1.3
Component Type A Type B(%) (%)
Statistics 0.2
TLD calibration (inc. linac cal.) 1.8
Absorbed dose energy dep. and 0.7PMMA-to-liquid water conv.
Photon cross sections 0.7
Seed geometry 0.75
Seed and TLD positioning 1.2
Intrinsic energy dep. corr. 5
Source energy spectrum 0.2
Combined std. unc., uc 1.1
NIST-traceable SK meas. 1
Combined std. unc., uc 5.7
Dolan and Williamson, 2006
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Uncertainty of Consensus Dose Rate Constant
MCEXP
EXP = (0.980 ± 0.056) cGy h-1 U-1 (5.7 %)
2CON
MC = (0.950 ± 0.010) cGy h-1 U-1 (1.1 %)
2/12
2
22
2
BIAS
MCEXPc uuuu
CON = (0.965 ± 0.028) cGy h-1 U-1 (2.9 %)
C
(without bias term)
32
MCEXPBIASu
CON = (0.965 ± 0.030) cGy h-1 U-1 (3.1 %)
(including bias term)
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Summary
• Uncertainty analysis is a critical element of the science of metrology
• All factors that could possibly influence the result of a measurementor calculation should be considered
• An uncertainty budget quantifies Type A and Type B components
• Expanded uncertainties (k = 2) should be used in clinical dosimetry