physics treatment margins · bujold et al, image-guided radiotherapy: has it influenced patient...
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Physics – Treatment MarginsLaurence Court
University of Texas MD Anderson Cancer Center
Disclosure
• Employer: UT MD Anderson Cancer Center
• Grants from: NCI, CPRIT, Varian, Elekta, Mobius
Learning Objectives
• Understand how systematic and random uncertainties contribute to overall treatment uncertainties and how these relate to delivered dose
• Understand how to calculate PTV margins
Figures from Khan
A reminder…..
Random and systematic uncertainties
Systematic uncertainty
Random uncertainty
low
low
low
high low
high high
high
Systematic vs. random uncertainties
6
Bujold et al, Image-Guided Radiotherapy: Has It Influenced Patient Outcomes?, Seminars in Radiation Oncology, 22, 50, 2012
Systematic vs. random uncertainties
7
Bujold et al, Image-Guided Radiotherapy: Has It Influenced Patient Outcomes?, Seminars in Radiation Oncology, 22, 50, 2012
Residual setup uncertainties
8
Bujold et al, Image-Guided Radiotherapy: Has It Influenced Patient Outcomes?, Seminars in Radiation Oncology, 22, 50, 2012
Effect of uncertainties on delivered dose
9McCarter et al, PMB 45: 923-931, 2001
• High isodoses move in• Low isodoses move out
There are lots of margin formulae
It’s not this bad!
Calculating uncertainties
Van Herk, Sem. Rad. Onc. 14(1), 52-64, 2004
For the scenario where we want minimum dose to CTV of 95% for 90% of patients, then:
• For lung, dose gradient is more shallow, so smaller margins needed for random errors• If dose prescription is for lower percent (e.g.80%), then smaller margins
McCarter et al, PMB 45: 923-931, 2001
M=2.5+0.7
Calculating uncertainties
Van Herk, Sem. Rad. Onc. 14(1), 52-64, 2004
M=2.5+0.7
Estimating margins -a simple spreadsheet
• Total error………………………………………………………………..
• Error margin…………………………………………………………….
• Total margin……………………………………………………………..
2.5= 0.7=
• Delineation ………….. ………….• Organ motion ………….. ………….• Setup error ………….. ………….• Intrafraction motion ………….. ………….
Systematic errors
Random errors
Examples of delineation uncertainties
White et al, Clin. Onc. 21, 32-38 2009 (CBCT images)
Persson et al, Brit. J. Radiol. 85, e654-660, 2012
s.d. = 1.8, 2.1, 3.6mm in RL, AP, SI directions
s.d. = 1.5, 2.6mm in transverse and SI directions
Estimating margins for prostate (no IGRT)
• Total error………………………………………………………………..
• Error margin…………………………………………………………….
• Total margin……………………………………………………………..
2.5= 0.7=
• Delineation ………….. ………….• Organ motion ………….. ………….• Setup error ………….. ………….• Intrafraction motion ………….. ………….
Systematic errors
Random errors
2.5mm3mm 3mm
2mm1mm
1mm
4.0mm 3.7mm10.0mm 2.9mm
13mm
Estimating margins for prostate (perfect IGRT)
• Total error………………………………………………………………..
• Error margin…………………………………………………………….
• Total margin……………………………………………………………..
2.5= 0.7=
• Delineation ………….. ………….• Organ motion ………….. ………….• Setup error ………….. ………….• Intrafraction motion ………….. ………….
Systematic errors
Random errors
2.5mm3mm 3mm
2mm1mm
1mm
2.5mm 1mm6.2mm 0.7mm
7mm
Now improve the delineation
• Total error………………………………………………………………..
• Error margin…………………………………………………………….
• Total margin……………………………………………………………..
2.5= 0.7=
• Delineation ………….. ………….• Organ motion ………….. ………….• Setup error ………….. ………….• Intrafraction motion ………….. ………….
Systematic errors
Random errors
1.5mm3mm 3mm
2mm1mm
1mm
1.5mm 1mm3.8mm 0.7mm
4.5mm
Calculating uncertainties
Van Herk et al, IJROBP 47(4) 1121-1135, 2000
For the scenario where we want minimum dose to CTV of 95% for 90% of patients, then:
But shouldn’t we be aiming for something better than 90% of patients with modern immobilization, localization etc?
M=2.5+0.7
But this is only for 90% of patients…..What about increasing to 95%?
• Total error………………………………………………………………..
• Error margin…………………………………………………………….
• Total margin……………………………………………………………..
2.5= 0.7=
• Delineation ………….. ………….• Organ motion ………….. ………….• Setup error ………….. ………….• Intrafraction motion ………….. ………….
Systematic errors
Random errors
1.5mm3mm 3mm
2mm1mm
1mm
1.5mm 1mm4.2mm 0.7mm
4.9mm
2.8
But what about deformations?
• SD of inter-fraction variation after marker-based rigid translation
Van der Wielen,, IJROBP 72(5), 1604-1611, 2009
So?
• Total error………………………………………………………………..
• Error margin…………………………………………………………….
• Total margin……………………………………………………………..
2.5= 0.7=
• Delineation ………….. ………….• Organ motion ………….. ………….• Setup error ………….. ………….• Intrafraction motion ………….. ………….
Systematic errors
Random errors
1.5mm2mm 2mm
2mm1mm
1mm
2.5mm 2.2mm6.2mm 1.6mm
7.8mm
(accounting for some deformation, but still assuming super-high quality delineation)
Estimating margins – H&N
• Total error………………………………………………………………..
• Error margin…………………………………………………………….
• Total margin……………………………………………………………..
2.5= 0.7=
• Delineation ………….. ………….• Organ motion ………….. ………….• Setup error ………….. ………….• Intrafraction motion ………….. ………….
Systematic errors
Random errors
Estimating margins – H&N
• Total error………………………………………………………………..
• Error margin…………………………………………………………….
• Total margin……………………………………………………………..
2.5=
• Delineation ………….. ………….• Organ motion ………….. ………….• Setup error ………….. ………….• Intrafraction motion ………….. ………….
Systematic errors
Random errors
2mm
Lets start with a small, perfectly immobilized and localized target
0mm0mm0mm
0mm0mm0mm
2mm 0mm5mm 2.8= 5.6mm
5-6mm, even with a dream-like IGRT process
Van Kranen et al, IJROBP 73(5), 1566-1573, 2009
Estimating margins – H&N
• Total error………………………………………………………………..
• Error margin…………………………………………………………….
• Total margin……………………………………………………………..
2.5=
• Delineation ………….. ………….• Organ motion ………….. ………….• Setup error ………….. ………….• Intrafraction motion ………….. ………….
Systematic errors
Random errors
2mm
If we include subject deformations….
1.5mm0mm0mm
1.5mm0mm0mm
1.5mm 1.5mm3.8mm
5mm with deformations (and perfect delineation)0.7= 1.1mm
27
Court and Tishler, IJROBP 69(2) 607-613
PTV(3mm pullback)
PTV(5mm pullback)
What about planning tricks?
Conclusions/Summary• Random uncertainties tend to average out
• Systematic uncertainties (for individual patients) dominate margins
• With IGRT, margins can be dominated by delineation uncertainties
• Uncertainties should be understood – generally most benefit is achieved if focus on systematic uncertainties