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Scanning Beams (Clinical Physics) PTCOG 53 June, 9 th , 2014 Stefan Both, PhD [email protected]

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Page 1: Scanning Beams - PTCOG

Scanning Beams (Clinical Physics)

PTCOG 53 June, 9th, 2014

Stefan Both, PhD

[email protected]

Page 2: Scanning Beams - PTCOG

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Outline

Why Scanning Beams?

PBS and Clinical Planning. What matters?

-Minimum Energy/Beam Degraders/Spot Size

- Planning Techniques: SFUD, IMPT, DET

- Robust Optimization and Evaluation

- Interplay

Site Specific Implementation; Technical Protocols.

Summary.

Page 3: Scanning Beams - PTCOG

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Proton Therapy

Technologies Passive Scattering PBS

Techniques SOBP SFUD IMPT

3DCRT/IMRT IMRT/VMAT

Page 4: Scanning Beams - PTCOG

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A proton pencil

Beam Spot…...

A few pencil beams

together…. Some more…

A full set, with a homogenous dose

conformed distally & proximally.

Pencil Beam Scanning – PBS

Image by E.Pedroni

PSI, Switzerland

Magnetically scan p beam (X,Y) and control depth switching Energy (Z)

A target is divided into many layers, a layer is divided into many spots, Spots are scanned one by one; layers by layers, from distal to proximal.

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Why Pencil Beam Scanning?

PBS: Lowest Integral dose(2 to 3 times vs XRT). PBS 3D HIGH DOSE Conformality (1- 4Fs )~ IMXT (4-9Fs).

PBS can treat large fields, comparable with XRT.

PBS penetrates at larger depths if no beam modifiers present.

PBS produces less neutrons contamination outside of the patient vs

PS has no beam modifiers are required(less nuclear interactions).

Page 6: Scanning Beams - PTCOG

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Pencil Beam Scanning Challenges

It is difficult to generate very narrow pencil beams which result in optimal dose lateral fall off.

PBS Minimum Energy (70 to 100 MeV).

PBS has a time structure, can be more sensitive to motion than PS.

The main difference from XRT: Range Uncertainty.

Page 7: Scanning Beams - PTCOG

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Outline

Why Scanning Beams?

PBS and Clinical Planning:

- Minimum Energy/Beam Degraders/Spot Size

- Planning Techniques: SFUD, IMPT, DET

- Robust Optimization and Evaluation

- Interplay

Site Specific Implementation; Technical Protocols.

Summary.

Page 8: Scanning Beams - PTCOG

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PBS and Clinical Planning

What matters?

- Minimum Energy

- Planning Techniques

- Shallow Target/ Beam Degraders.

Spot Size vs. Air Gap:

Small => High Conformality/Low HI

Large => Less sensitive to motion

- Plan Robustness:

Optimization

Evaluation

Motion Management/Interplay

Site specific implementation

Page 9: Scanning Beams - PTCOG

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Beam Degrader/Minimum Energy

Beam Degrader Options:

• Machine Specific: Range Shifter on the snout.

Problems: Size of Air GAP & Collision, Beam data commissioning

workload.

Solutions: Telescopic Arms Bolus, Collision Detection.

Page 10: Scanning Beams - PTCOG

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Beam Degrader/Minimum Energy

Beam Degrader Options:

• Patient Specific: Bolus, Thick table top, Bridges, etc.

Problems: Treatment Table Weight limits, Patient Positioning

&Collision, Impact on Imaging.

Solutions: Use of Universal Removable Devices, Automated

Collision Detection, homogeneous & less dense material.

PENN/ Qfix

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Spot Size Integrity: Bolus vs. Range Shifter

120 140 160 180 200

5

10

15

20

25

30

35

Beam Energy (MeV)

Sp

ot

siz

e (

mm

)

X direction

No RS

2cm Bolus

8cm Bolus

RS

120 140 160 180 200

5

10

15

20

25

30

35

Beam Energy (MeV)

Y direction

No RS

2cm Bolus

8cm Bolus

RS

S. Both, J.Shen et al, IJROBP 2014 – in press

Page 12: Scanning Beams - PTCOG

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Beam Degraders Collision Detection

-CAD /MATLAB ray casting algorithm.

-Incorporated during the proton treatment planning phase=>improved QA

processes and clinical efficiency.

Green – Body contour points; Red – gantry polygon

W. Zou, S Both et al. Med Phys J. 2012

A

B

Page 13: Scanning Beams - PTCOG

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PBS Treatment Planning

A single field uniform dose (SFUD) technique, combines one

or more fields optimized individually (SFO) to deliver a

relative uniform dose across the target volume.

Note: SFUD is the PBS equivalent to open field treatment.

An intensity modulated proton therapy technique (IMPT),

combines fields with heterogeneous dose distributions

optimized together(MFO) to deliver a relatively

homogeneous dose across the target.

Note: IMPT is the PBS equivalent to patch fields passive

scattering and IMRT.

Page 14: Scanning Beams - PTCOG

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SFO/SFUD vs. MFO/IMPT Techniques

SFUD RT

IMPT LT

LT

RT

Page 15: Scanning Beams - PTCOG

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PBS Optimization

Treatment plans are optimized using inverse planning techniques which

allow for variation in intensity and energy of each pencil beam (increases

the degree of freedoms vs IMXT=>better dose shaping)

3D Forward planning PBS: Inverse planning

?

?

Page 16: Scanning Beams - PTCOG

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PBS Optimization

Pencil beam weights are optimized for each beam direction

using inverse planning techniques => beam weight maps for

different energy layers.

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Degeneracy of solution in inverse planning

IMPT SFUD

In general, based on the input the optimization problem may pose

many equivalent solutions. It is difficult to decide whether a result

produced by a planning algorithm can be further improved (e.g.

adding more beams, reducing #of spots, etc.)

Page 18: Scanning Beams - PTCOG

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PBS Techniques 2.5D uses poli-energetic SOBP pencil

beams( different weights by different

colors) individually adapted distally

and proximally to TV=> uniform dose

per field.

3D uses poli-energetic pencil beams,

non-uniformly distributed and

adapted distally and proximally to TV

=> non-uniform dose per field.

DET uses pencil beams distributed

individually only on the distal TV

edge => high non uniform dose per

field.

A. Lomax, 1999 PMB

2.5D

SFUD

3D

IMPT

DET

PB

Page 19: Scanning Beams - PTCOG

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19

PBS Optimization: PTV ?

For protons in addition to lateral margins, a margin in depth has to be left to allow for range uncertainty, therefore each beam orientation would need a different PTV, beam specific PTV(bsPTV).

Generally, in practice, the dose distribution is determined based on a Optimization Volume(OV) derived from CTV adding lateral and range margins:

• DM = (0.035 x CTVdist) + 1 mm

• PM = (0.035 x CTVprox) + 1mm

• LM based on setup, motion, penumbra.

3.5%- uncertainty in the CT# and their conversion to relative proton linear stopping power

1 mm - added to correct for range uncertainty

Note: it works for PS, SFUD-not necessarily for patched fields and IMPT.

CTV DM PM

LM

PTV

OV Patient

WED

Page 20: Scanning Beams - PTCOG

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PBS Plan Robustness

Plan robustness measures the differences in quality between

planned and delivered dose in the presence of uncertainties( e.g.

setup and range uncertainties)

o Robust Plan Optimization

Account for uncertainties in the optimization function

o Robust Plan Evaluation

“Worst case scenario”: Standard robustness test

For example: systematically simulate setup error by shifting

isocenter in 6 directions, introduce HU # variation

M. Engelsman, M, Schwartz, L.Dong, SRO 2013

Page 21: Scanning Beams - PTCOG

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PBS Beam Angle Optimization

Choosing the right beam

orientation

Choosing the best

geometry of irradiation

Shortest and most

homogeneous path

Ex: Pelvis (3 to 9 o'clock , CW)

Limited numbers of beams,

avoid serial OARs

Coplanar vs. non-coplanar

beams.

Page 22: Scanning Beams - PTCOG

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SFUD Optimization: Beam Specific PTV( bsPTV)

LM

CTV BEAM

Ray Tracing/ WED

DM

Physical

Margins

corrected for

SETUP&Range

based on local

heterogenities

P.Park, L.Dong et al, IJROBP 2012

•Avoids geometrical miss of the CTV through lateral expansion.

•DM, PM margins calculated from the target in beam direction for each Ray

•Extra margins based on local heterogeneities, using a density correction kernel

Page 23: Scanning Beams - PTCOG

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SFUD Optimisation: bsPTV

Dose distributions conforming dose to CTV using PTV(>30%)&bsPTV(<5%).

CTV CTV

CTV CTV

P.Park, L.Dong,et al IJROBP 2012

Page 24: Scanning Beams - PTCOG

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PBS Robust Optimization

Probabilistic Optimization:

The range of each pencil beam is

a random variable, the quantity to

be optimized is the residual cost

over the possible setup errors and

range uncertainties weighted

based on their probability.

No overshoot 5mm overshoot

Unkelbach et al, Med Phys 2009

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Multi-Criteria Optimization (MCO)

In MCO:

- a database of plans each emphasizing

different treatment planning objectives,

is pre-computed to approximate the

Pareto surface.

- robustness can be integrated by

adding robustified objectives and

constraints to the MCO problem.

• Minimal set of absolute constraints

– D(GTV) > 50 Gy(RBE)

• Specify competing objectives –

– “minimize max OAR” vs “maximize min

GTV dose”

H.Kooy, MGH

Chen et al, PMB 2012

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HN(PO vs. PO+AP): Robust Evaluation

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HN :PBS vs. RA

LPO+RPO RA AP+LPO/RPO)

Init

Verify

Init Init

Verify Verify

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HN Target Robustness:CTV54Gy(RBE)/CTV60Gy(RBE)

0 20 40 60 80 100 1200

20

40

60

80

100

Ratio o

f T

ota

l S

tructu

re V

olu

me [%

]

Ratio of Total Dose [%]

Verification study for CTV 54Gy(RBE), PT EE

Initial plan

Shift plans

Verification plans

0 20 40 60 80 100 120 1400

20

40

60

80

100

Ratio o

f T

ota

l S

tructu

re V

olu

me [%

]

Ratio of Total Dose [%]

Verification study for CTV 54Gy(RBE) with ANT field, PT EE

Initial plan

Shift plans

Verification plans

0 20 40 60 80 100 1200

20

40

60

80

100

Ratio

of T

ota

l Str

uct

ure

Volu

me [%

]

Ratio of Total Dose [%]

Verification study for CTV 60Gy(RBE), PT EE

Initial plan

Shift plans

Verification plans

0 20 40 60 80 100 120 1400

20

40

60

80

100

Ratio

of T

ota

l Str

uct

ure

Volu

me [%

]

Ratio of Total Dose [%]

Verification study for CTV 60Gy(RBE) with ANT field, PT EE

Initial plan

Shift plans

Verification plans

2PO

2PO 2PO+AP

2PO+AP

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HN OAR Robustness: Cord/Oral Cavity

0 1000 2000 3000 4000 5000 6000 70000

20

40

60

80

100

Ratio o

f T

ota

l S

tructu

re V

olu

me [%

]

Total Dose [cGy]

Verification study for Cord, PT EE

Initial plan

Shift plans

Verification plans

0 1000 2000 3000 4000 5000 6000 7000 80000

20

40

60

80

100

Ratio o

f T

ota

l S

tructu

re V

olu

me [%

]

Total Dose [cGy]

Verification study for Cord with ANT field, PT EE

Initial plan

Shift plans

Verification plans

2PO

•The shift plans may not always reveal potential problems and

therefore verification volumetric imaging should be used.

•We can learn from robust evaluation how to come up with the

clinically relevant cost functions for robust optimization.

2PO+AP

Page 30: Scanning Beams - PTCOG

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PBS&Interplay Effect Prostate Motion

PBS delivers a plan spots by spots; layers by layers.

Each layer is delivered almost instantaneously.

The switch (beam energy tuning) between layers takes about 1 to 5 s.

Prostate motion during beam energy tuning causes interplay effect.

Page 31: Scanning Beams - PTCOG

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PBS: Interplay & Dose Distribution

Worst Case Scenario Patient – Worst Single Fraction

1 2 3 4 5 6 71

2

3

4

5

6

7

81

2

34

56

78

9

101112

C-C Drift (mm)

A-P

Dri

ft (

mm

)

-2 0 2 4 6 8-2

0

2

4

6

8

12

34

56

7

8

910

1112

C-C Drift (mm)

A-P

Dri

ft (

mm

)

Tang, Both et al, IJROBP 2013

Page 32: Scanning Beams - PTCOG

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Outline

Why Scanning Beams?

PBS and Clinical Planning:

-Minimum Energy/Beam Degraders/Spot Size

- Planning Techniques: SFUD, IMPT, DET

- Robust Optimization and Evaluation

- Interplay

Site Specific Implementation: Technical Protocols.

Summary.

Page 33: Scanning Beams - PTCOG

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Site Specific Implementation: Technical Protocols

Site specific technical protocols have to be developed within the

limitations of existing technology for robust proton treatment clinical

implementation as proton dose distribution may change with:

different machine parameters.

treatment planning algorithms.

patient's anatomy changes in the beam (weight loss, air pockets, ports,

etc) or misalignments of the proton beam relative to the patient.

the way we manage uncertainties.

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Site Specific Implementation: Technical Protocols

To determine meaningful technical protocols it is important to:

work with the physicians and the treatment team to acquire and

analyze prospective patient data within the treatment environment.

move consistently from simple to complex treatment sites( prostate,

brain, pelvis (GI, GU, GYN), HN, CSI, etc) enrolled and analyzed 10 to 12

on treatment patients’ CT data sets including weekly scans.

recognize potential problems, address them as necessary.

perform dose accumulation studies for moving targets

review the literature and one’s institutional data within the limitations

imposed by differences in technology, patient population, etc.

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Lower GI: 2POs

SFUD vs.Rapid Arc

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PBS CSI

Field Geometry

Two lateral PBS fields are used to treat the brain

One or more posterior fields are used to treat the spine

Fields overlap for 5-8cm

A shallow dose gradient is created between the fields in order to

create a safe, smeared field match

H..Lin, S. Both et al..IJROBP,I n press,

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Target volumes for planning

PBSTV_Compo

PBSTV_Compo

Field specific target volume

PBSTV_compo

oBrain

oSpine

Optimization target volume

PBSTV

oBrain

oSpine

up gradient volume

o 80brain_20up

o 60brain_40up

o 40brain_60up

o 20brain_80up

low gradient volume

o 80upp_20low

o 60upp_40low

o 40upp_60low

o 20upp_80low

H.Lin. S. Both et al, PTCOG 53

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CSI film measurements on field matching

Sagittal dose profiles comparison for the (a) spinal-spinal and (b) craniospinal junctions. The

blue lines indicated the location to draw the dose profiles.

H.Lin. S. Both et al, PTCOG 53

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Patient related uncertainties…More complex

Image by B.White, UPENN

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Dose Accumulation on IACT

Red contour: ITV

CT image shown: IACT C.Zeng, S.Both et al. PTCOG53

Dose accumulation over 8 phases(Left) vs. nominal dose distribution(Right)

Left Right

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Large Spots

Small spots: σ ~ 5 mm; Big spots: σ ~ 10 mm

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Summary Dose Conformality is best for PBS techniques and worst for

passive scattering techniques(except patching). High dose region

conformality will improve relative to IMRT as PBS matures.

Dose Heterogeneity in general is best for PBS techniques relative

to passive scattering and IMRT.

Plan Robustness will improve as robust optimization becomes

available, however the problem of motion requires additional forms

of management(minimize motion, tracking, rescanning).

Technical protocols have to be developed for each clinical site

implementation as not like in IMRT, the patient and machine are

decoupled and therefore geometry does not equals dose.

Communication between the planning team and clinical team is

crucial during treatment for a safe and accurate proton treatment.

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Thank you

Acknowledgements:

Penn Radiation Oncology & Collaborators

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