impact of complexity and computer control on … fraass impact of complexity...target volume...
TRANSCRIPT
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Impact of Complexity and Computer Control on Errors in
Radiation Therapy
Benedick A Fraass PhD, FAAPM, FASTRO, FACR
Vice Chair for Research and Director of Medical Physics Department of Radiation Oncology
Cedars-Sinai Medical Center, Los Angeles, CA and
Professor Emeritus, University of Michigan
CEDARS-SINAI
LEADING THE QUEST
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• H/N patient received 3 x 13 Gy: (open MLC with IMRT MUs)
• Breast patient received 27 Fx, w/o large wedge (3.5x expected dose)
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• Basic Radiotherapy Methods • Changes in Radiotherapy: New Technology,
New Goals, New Complexity • Studying Errors in Radiotherapy • Efforts to Address Radiotherapy Safety • Conclusions
Complexity, Computer Control and Radiotherapy Errors
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1. Define the Target Volume(s) and Create an Anatomical Model of the Patient
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2. Focus Multiple Beams on the Target
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3. Calculate and Evaluate the Dose
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Brain - 7 Non-Coplanar Flds
0
20
40
60
80
100
0 20 40 60 80Dose (Gy)
% V
olum
e
Fwd 15 segs1x1 Beamlets
PTV1
PTV2
Brainstem
NormBrain
3. Calculate and Evaluate the Dose
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We don’t want this!
4. Treat the Patient
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• Basic Radiotherapy Methods • Changes in Radiotherapy: New Technology,
New Goals, New Complexity • Studying Errors in Radiotherapy • Efforts to Address Radiotherapy Safety • Conclusions
Complexity, Computer Control and Radiotherapy Errors
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1950s-80s: 2-D Radiotherapy
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1950s-80s: 2-D Radiotherapy
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1986 – 1990s: Conformal Therapy
A dose distribution that conforms to the shape of the target volume(s), in 3-D, while minimizing dose to critical normal structures.
95 % Isodose Surface
Bladder
Rectum Prostate Target Volume
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1986 – 1990s: Conformal Therapy
A dose distribution that conforms to the shape of the target volume(s), in 3-D, while minimizing dose to critical normal structures.
95 % Isodose Surface
Bladder
Rectum Prostate Target Volume
Beam’s Eye View (BEV)
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2000s: Conformal Therapy with Intensity Modulated Radiation Therapy (IMRT)
IMRT: Rather than uniform intensity beams, optimize the intensities of “beamlets” to allow further improvement of the dose distribution
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2010: Image-Guided Radiotherapy (IGRT)
Kessler
Cone beam CT at the treatment unit
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Balter
4D CT + Other Respiratory-Correlated Imaging
Now that we can visualize + monitor motion, where/when do we need to take it into account ?
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In recent years, complexity of radiation treatment delivery has increased due to
• 3-D treatment planning • Conformal radiotherapy • Computer-controlled treatment machines • Multileaf collimators • Intensity modulated radiation therapy (IMRT) • 4-D everything
Does all the complexity lead to more errors?
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Radiotherapy Planning/Delivery Process
Tx Delivery Prep
Portal image Verification
+/- R/V
Pat. Setup+ Imaging
Prescription
Target + few normal
contours
Check MUs 3-D
Treatment Planning
MU Calculation
Tx: One field at a time,
single shape
Download to Deliv. System
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RT: 45 Gy to Isocenter, 2 Gy/Fx
Radiotherapy Planning/Delivery Process Prescription
IMRT: Plan Directive
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RT: 45 Gy to Isocenter, 2 Gy/Fx
Radiotherapy Planning/Delivery Process Prescription
IMRT: Plan Directive
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Radiotherapy Planning/Delivery Process Prescription
Target(s) + normal
contours
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Radiotherapy Planning/Delivery Process Prescription
Target(s) + normal
contours
Bladder Target
Rectum
a
b
c
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Radiotherapy Planning/Delivery Process Prescription
Target(s) + normal
contours
IMRT: Unlike 3DCRT, must carefully define any structure that you want to influence the plan
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Radiotherapy Planning/Delivery Process Prescription
Target + few normal
contours
3-D Treatment Planning
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Radiotherapy Planning/Delivery Process Prescription
Target + few normal
contours
Inverse Treatment Planning
IMRT: Each beam divided into many beamlets
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Inverse Treatment Planning
Prescription
Target + few normal
contours
Radiotherapy Planning/Delivery Process
Head/Neck IMRT protocol planning objectives for Inverse Planning
Structure Objectives PTV1 70 Gy (mean +/- 3%, min 93%, max 115%) PTV2 60 Gy (mean +/- 3%, min 93%, max 115%) Nodal Boost PTV 70 Gy (mean +/- 3%, min 93%, max 115%) High Risk Nodal PTV 64 Gy (mean +/- 3%, min 93%, max 115%) Low Risk Nodal PTV 57.6 Gy (mean +/- 3%, min 93%, max 115%) Spinal Cord Less than or equal to 45 Gy Spinal Cord + 5 mm Less than or equal to 50 Gy Brainstem Less than or equal to 54 Gy Right Parotid Mean dose less than or equal to 26 Gy Left Parotid Mean dose less than or equal to 26 Gy Mandible Less than or equal to 70 Gy Submandibulars Minimize dose Oral Cavity Less than or equal to 70 Gy
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Inverse Treatment Planning
Radiotherapy Planning/Delivery Process Prescription
Target + few normal
contours
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Radiotherapy Planning/Delivery Process
Tx Delivery Prep
MU Calculation
MU = Dose / (Cal x TPR x Scp x ISL . . . )
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Radiotherapy Planning/Delivery Process
Tx Delivery Prep
MU Calculation
MU = Dose / (Cal x TPR x Scp x ISL . . . )
IMRT: MLC Sequencing algorithm to calc MLC trajectories and intensities
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Radiotherapy Planning/Delivery Process
Tx Delivery Prep
Check MUs
MU Calculation
Check by hand: Dose = MU x Cal x TPR x Scp x ISL . . . )
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Radiotherapy Planning/Delivery Process
Tx Delivery Prep
Patient-specific IMRT QA
MU Calculation
Patient-specific IMRT QA : Measure delivered IMRT distribution in phantom,
each field, then composite for plan
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Some Technical Safety Issues for IMRT
• Delineation of targets + normal tissues is crucial
• Good vs bad plan determined indirectly by optimization cost function – not direct clinical input
• Beam shapes, intensities, directions not intuitive • Monitor Units (MU) not directly related to dose –
no back of the envelope checks • Hand checks of plan, MLCs, MUs not possible • Plan, beams, MUs not intuitive
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Some Technical Safety Issues for IMRT
• Delineation of targets + normal tissues is crucial
• Good vs bad plan determined indirectly by optimization cost function – not direct clinical input
• Beam shapes, intensities, directions not intuitive • Monitor Units (MU) not directly related to dose –
no back of the envelope checks • Hand checks of plan, MLCs, MUs not possible • Plan, beams, MUs not intuitive
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Some Technical Safety Issues for IMRT
• Delineation of targets + normal tissues is crucial
• Good vs bad plan determined indirectly by optimization cost function – not direct clinical input
• Beam shapes, intensities, directions not intuitive • Monitor Units (MU) not directly related to dose –
no back of the envelope checks • Hand checks of plan, MLCs, MUs not possible • Plan, beams, MUs not intuitive
Most of the intuitive checks we used to have, and the abilty to confirm
“reasonability”, can no longer be done by therapists - or anyone
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• Basic Radiotherapy Methods • Changes in Radiotherapy: New Technology,
New Goals, New Complexity • Studying Errors in Radiotherapy • Efforts to Address Radiotherapy Safety • Conclusions
Complexity, Computer Control and Radiotherapy Errors
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Author Kartha, 1977
Podmaniczky 1985 Macklis, 1998 *
Error Rate 3 % / Session
1% / Field 0.18% / Field
Radiotherapy Errors (detected with independent Record/Verify System)
* Some errors caused by R/V
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Author Macklis, 1998 Patton, 2003 Huang, 2005
Error Rate 15.3 % 23.7 % 15.6 %
% of Errors “due to” Record/Verify
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• Solution: Integrate the R/V system into the planning/delivery system
• However, this removes the independence of the R/V system.
• We are left with an integrated computer-controlled treatment delivery system
R/V-Related Errors
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UM-CCRS: Computer-controlled Conformal Radiotherapy System
Computer- controlled Tx Delivery
Tx Delivery Planning
Tx Verif.
Auto Setup
Tx Plan Conversion
CCRS e-chart
Charge Capture
Clinic Sched
Tx Documen-
tation EPID Use
CCRS
TxPlan Optim.
1988-2001
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Does computer-controlled Tx delivery decrease error rates,
in spite of an increase in Tx complexity ?
• Had opportunity to compare errors between manual and computer-controlled Tx (UM CCRS)
• All ExtBeam Txs 7/96 thru 9/97 were studied (>34k fractions)
• Tx delivery errors from QA logs, retrospective e-chart analysis, logged by therapists
Fraass et al, Int J Rad Onc Biol Phys 42: 651-659, 1998
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Machine: M1 M2 M3 M4 C6-100 C1800 C2100CD Microtron Computer none none mostly full control Control Treatment Manual: Delivery Individual flds Method set by therapists Field Shaping
Manual vs. Computer-Controlled Radiation Therapy
CCRS
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High Dose Brain Tx: 5 fields/9 segs, CCRS
Few-Field Plans w/ Blks
Increasing Plan Complexity
Machines: M1 M4
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M3 .02 .02 .03
Errors Machine Setup Accessories Total/Segment (%)
M1 .03 .09 .12
M4 .003 .003 .006
Machine Errors (%/Segment)
M2 .13 .09 .22
Expect that these errors are under-reported, probably are 1-2 %
Fraass IJROBP 42 (1998)
Tx Delivery Error Analysis (34k Tx sessions, 114k segments)
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M3 .21 .04 .04 .28
Errors Patient setup Patient/Plan choice Prescription/Chart Total/session (%)
M1 .03 0
.01
.05
M4 .12 .03 .03 .18
Setup+Prescription Errors (%/session)
M2 .07 0
.10
.17
M1 .03 0
.01
.05
M2 .07 0
.10
.17
Almost no way to find random setup errors for manual setup, except weekly portal images.
M3 .21 .04 .04 .28
M4 .12 .03 .03 .18
• Automated QA check of daily table coords highlights all setup inconsistencies
• One specific process problem: 90% of these errors
No way to identify these manual errors
Fraass IJROBP 42 (1998)
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Low Tech vs High Tech: Training, Process, QA Expectations
Deviation rate as MLC technology was introduced LB Marks, KL Light, JL Huggs, DL Georgas, EL Jones, MC Wright, CG Willett, FF Yin: The impact of advanced technologies on Tx deviations in radiation treatment delivery. IJROBP 69: 1579-1586, 2007
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Type of Error MLC
External Blk External Wdg Internal Wdg
Rel. Risk (95% CL)
1.9 (1.3 - 2.9)
4.4 (3.1 - 6.3)
1.3 (0.8 – 1.9)
2.6 (1.4- 4.5)
Technology, by itself, is not the problem
G Huang, G Medlam, J Lee, S Billingsley, JP Bissonnette, J Ringash, G Kane, DC Hodgson: Error in the delivery of radiation therapy: results of a QA review: IJROBP 61: 1590-1595, 2005
28,136 fractions, 555 errors
p 0.001
< 0.001 0.28
0.001
• External Block required direct daily actions by RTT, while MLC was set by control system
• External Wdg had direct visual check by RTT, while programmed internal Wdg did not.
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Type Error
Error and Potential Error
Non-IMRT 0.21 % 0.40 %
Despite Complexity, Errors Can Decrease
AC Olson, RE Wegner, C Scicutella, DE Heron, JS Greenberger, S Huq, G Bednarz, JC Flickinger: QA Analysis of a Large Multicenter Practice: Does Increased Complexity of IMRT Lead to Increased Error Frequency? IJROBP 81: S565, 2011
24,775 courses over 3 years. 3 academic and 16 community practices
P
0.0004
IMRT 0.03 % 0.14 %
• Multivariate analysis of higher severity and any error correlated with reduced errors with IMRT.
• No significant difference between academic and community practices.
• No change in error frequency despite 39 changes by centralized Quality Improvement Committee
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Patients
148
1138
447
RT Planning
Simple
Intermediate
Complex
Hazard Ratio *
-
0.75 (0.62 – 0.91)
0.69 (0.55 – 0.86)
Should We Avoid Complexity ?
Is complexity associated with improved overall survival? 1733 NSCLC (IIIB) patients >65 yrs
* p = 0.0002
B Goldsmith, J Cesaretti, JP Wisnivesky: Radiotherapy Planning Complexity and Survival after Treatment of Advanced Stage Lung Cancer in the Elderly. Cancer 115: 4865-4873, 2009
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IMRT vs 3D/Conventional
DN Margalit, YH Chen, PJ Catalano, K Heckman, T vivenzio, K Nissen, LD Woldsberger, RA Cormack, P Mauch, AK Ng: Technological advancements and error rates in RT delivery. IJROBP 81: in press, 2011
Type of Tx 3D/Conventional
IMRT
Error Rate (95% CL)
0.07% (0.06 – 0.09%)
0.03% (0.02 – 0.05%)
p 0.0008
IMRT
IMRT
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Tx Preparation
3 Prescription
3 Planning
46 Calculation
Tx Execution
7 Tx Setup
19 Delivery
1 Technical Failure
Errors Detected by Systematic In Vivo Dosimetry
78 / 79: involved human error
A Noel, P Aletti, P Bey, L Malissard: Detection of errors in individual patients in radiotherapy by systematic in vivo dosimetry. Radiotherapy and Oncology 34:144-151, 1995
7519 patients, in vivo dosimetry (5 years)
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How Big are the Errors ?
TK Yeung, K Bortolotto, S Cosby, M Hoar, E Lederer: Quality assurance in radiotherapy: evaluation of errors and incidents recorded over a 10 year period. Radiotherapy + Oncology 74: 283-291, 2005
13,385 patients, 10 years
0% <5% 5-10% >10% 0% <5% 5-10% >10%
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A big challenge: The rate of dosimetrically-significant errors (>10%) is << 0.1 %, so we are looking for such errors in 1-2 patients per year in a normal clinic
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• Basic Radiotherapy Methods • Changes in Radiotherapy: New Technology,
New Goals, New Complexity • Studying Errors in Radiotherapy • Efforts to Address Radiotherapy Safety • Conclusions
Complexity, Computer Control and Radiotherapy Errors
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One note: nearly all the error-related
studies discussed earlier were performed and published before these articles
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• Has led to introspection within many depts, opening windows for analysis + action
• Publicity has led to new involvement in QA + safety issues within ASTRO, AAPM, ACR etc:
• New analysis and initiatives by FDA • AAPM Task Groups – Safety, not just QA • Safety White Papers (ASTRO et al) • Work toward National Event-Reporting Program • Safety Stakeholders Initiative – Vendors + Orgs
(ASTRO, AAPM, etc)
Good Results of the NY Times Publicity: Various National Safety-Related Initiatives
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Bad Results of the NY Times Publicity ? A few incorrect conclusions “learned” from
the NY Tmes IMRT error:
1. We can fix this with one new QA test . . . But almost all errors have many contributing factors
2. High-tech Tx techniques are the problem . . . But what about recent stereotactic calibration errors?
3. The vendors and FDA just need to make error-free software and control systems. . . . But testing cannot find all errors
4. More rigorous practice standards and/or accreditation, by themselves, will prevent this But catastrophic errors happen to good people
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Given all the bad things that can happen, we must do much more QA
NO.
• We must evaluate risks, processes, potential failure modes
• We must better prioritize our safety/QA efforts • We must spend our efforts on the most
frequent, severe, and risky problems, not just the problems amenable to QA
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• Radiotherapy is immensely more complex than 20 years ago, but complexity in RT is neither bad nor good – it’s just different
• Error rates, especially for clinically significant errors, are very low
• The types of errors which occur now are very different: New QA approaches are required
• Improving radiotherapy safety requires: • Comprehensive efforts for each treatment method • Process-oriented safety analysis and QA • Careful, complete QA programs in each clinic • Realistic + sophisticated guidance from regulators
and other organizations
Conclusions