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Time-dependent dose guided radiotherapy (DGRT) with ... - Varian

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<strong>Time</strong>-<strong>dependent</strong> <strong>dose</strong> <strong>guided</strong> <strong>radiotherapy</strong> (<strong>DGRT</strong>) <strong>with</strong><br />

electronic portal imaging as a patient QA and research tool<br />

S Nijsten, M Podesta, L Persoon, W van Elmpt,<br />

F Verhaegen<br />

MAASTRO Clinic, Maastricht, the Netherlands<br />

1


Dose Guided RadioTherapy (<strong>DGRT</strong>):<br />

measuring true daily patient <strong>dose</strong><br />

2


What is the place of <strong>DGRT</strong> in the <strong>radiotherapy</strong> chain?<br />

<strong>DGRT</strong><br />

IGRT 3


MAASTRO <strong>DGRT</strong> Philosophy<br />

You need to know the true daily delivered 3D <strong>dose</strong><br />

You need to know the true delivered total 4D <strong>dose</strong> over the treatment<br />

(possibly also 4D <strong>dose</strong> rate)<br />

H<br />

O<br />

W<br />

?<br />

Combine all your verification imaging tools<br />

Develop new verification imaging tools/methods<br />

Make these tools/methods fast<br />

With all the information collected, develop optimum methods for ART<br />

Integrate in clinic<br />

4


• EPI dosimetry<br />

<strong>DGRT</strong> <strong>with</strong> EPI<br />

– Point <strong>dose</strong> (1D) verification<br />

– Pre-treatment 2D <strong>dose</strong> verif (no pt)<br />

– Transit 2D <strong>dose</strong> verif (+ pt)<br />

– Pre-treatment 3D <strong>dose</strong> verif (no pt)<br />

– Transit 3D <strong>dose</strong> verif (+ pt)<br />

– Pre-treatment time-<strong>dependent</strong> 2D <strong>dose</strong> verif (no pt)<br />

– Transit time-<strong>dependent</strong> 2D <strong>dose</strong> verif (+ pt)<br />

EPID<br />

patient<br />

EPID<br />

– In-vivo time-<strong>dependent</strong> 3D <strong>dose</strong> verif (+ pt) = 4D EPID dosimetry<br />

• Daily pt imaging (Cone beam CT, 3/4DUS, image<br />

registration)<br />

• Decision tools for Adaptive RT<br />

• Trials<br />

5


Four components of 2-D EPID dosimetry<br />

Pre-treatment<br />

<strong>dose</strong> prediction<br />

Transit<br />

<strong>dose</strong> prediction<br />

EPID<br />

dosimetry<br />

Gamma<br />

calculation<br />

EPI <strong>dose</strong><br />

conversion<br />

6


Gamma<br />

calculation<br />

Original distribution<br />

(γ from 0 to 1)<br />

Gamma calculation and visualisation<br />

(� criterion of 3%, 3 mm)<br />

Dose difference coding<br />

(γ from -1 to 1)<br />

Pass/fail coding<br />

EPID measures more <strong>dose</strong><br />

EPID measures less <strong>dose</strong><br />

7


8<br />

30-70x faster


Pre-treatment<br />

<strong>dose</strong> verification<br />

Verification I: Pre-treatment <strong>dose</strong> verification<br />

(S Nijsten, W van Elmpt et al., Med. Phys. 34, 2007)<br />

� detect errors in transfer between<br />

TPS and linac<br />

� detect malfunctioning of linac<br />

(machine output variations, MLC errors,<br />

beam flatness…)<br />

9


Pre-treatment<br />

<strong>dose</strong> verification<br />

Pre-treatment <strong>dose</strong> verification for IMRT of H&N<br />

(� criterion of 5%, 5 mm)<br />

Predicted PDI Measured PDI Pre-treatment �<br />

Before the start of treatment, for every patient the treatment fields are delivered and<br />

measured <strong>with</strong> the EPID<br />

10


Transit <strong>dose</strong><br />

verification<br />

Verification II: Transit <strong>dose</strong> verification<br />

(W van Elmpt, S Nijsten et al., Med. Phys. 32, 2005)<br />

(S Nijsten, W van Elmpt et al., Med. Phys. 34, 2007)<br />

� detect patient-related delivery errors<br />

(set-up errors, organ motion, weight loss,<br />

changes in fixation, …)<br />

11


Transit <strong>dose</strong><br />

verification<br />

No pt in beam<br />

+ pt in beam<br />

Predicted pretreatment<br />

PDI<br />

Transit dosimetry for tongue cancer treatment<br />

(� criterion of 5%, 5 mm)<br />

Measured pretreatment<br />

PDI Pre-treatment �<br />

Predicted transit<br />

Measured transit<br />

Transit �<br />

PDI PDI<br />

12


Five components of 3-D EPID dosimetry<br />

3-D in-vivo<br />

<strong>dose</strong> verification<br />

Pre-treatment<br />

<strong>dose</strong> verification<br />

EPID<br />

dosimetry<br />

Dose<br />

recalculation<br />

3-D image<br />

acquisition<br />

CBCT<br />

EPI <strong>dose</strong><br />

conversion<br />

13


It is possible to distinguish beam and patient related<br />

delivery errors (Using only 3D transit <strong>dose</strong> reconstruction)<br />

Beam delivery error<br />

MLC error<br />

Patient related delivery error<br />

decrease in lung fluid + setup error<br />

1<br />

2<br />

Planning CT Repeat CT or CBCT<br />

= representation of<br />

pt today<br />

Backprojection<br />

through pt<br />

Detection of<br />

composite<br />

delivery errors<br />

2<br />

2<br />

Detection of<br />

beam<br />

delivery errors only<br />

2<br />

1<br />

14


Axial<br />

Coronal<br />

Sagittal<br />

Beam and patient related delivery errors<br />

(Reconstructed 3D <strong>dose</strong> distributions)<br />

Prescribed 3D <strong>dose</strong> in TPS<br />

3D <strong>dose</strong> <strong>with</strong><br />

beam delivery errors only<br />

3D <strong>dose</strong> <strong>with</strong><br />

patient related delivery errors only<br />

15


<strong>Varian</strong> TrueBeam<br />

Volumetric Modulated Arc Therapy (VMAT):<br />

<strong>Time</strong>-resolved (4D) dosimetry<br />

DRR per control point<br />

Transit <strong>dose</strong> per control point<br />

16


VMAT: <strong>Time</strong>-resolved EPID images<br />

(=‘fluoroscopy’)<br />

<strong>Time</strong>-resolved EPID during treatment:<br />

�allows investigating causes of differences between predicted<br />

and measured <strong>dose</strong><br />

<strong>Time</strong> series (‘film’)<br />

17


Pre-treatment <strong>dose</strong> prediction; per control point<br />

Fluence map<br />

Predicted<br />

primary PDI<br />

Predicted EPI<br />

scatter PDI<br />

EPID<br />

+ =<br />

Pre-treatment<br />

Predicted total pretreatment<br />

PDI<br />

18


Pre-treatment <strong>dose</strong> prediction; integrated over 1 beam direction<br />

Fluence map<br />

Predicted<br />

primary PDI<br />

Predicted EPI<br />

scatter PDI<br />

EPID<br />

+ =<br />

Pre-treatment<br />

Predicted total pretreatment<br />

PDI<br />

19


Transit <strong>dose</strong> prediction; integrated over 1 beam direction<br />

Predicted<br />

primary PDI<br />

Predicted<br />

scatter PDI<br />

+ =<br />

Predicted total<br />

transit PDI<br />

20


One control point<br />

Gamma calculation<br />

Integrated <strong>dose</strong><br />

21


<strong>Varian</strong> Research project: <strong>Time</strong>Port<br />

<strong>Time</strong>-resolved pre-treatment 2D portal dosimetry<br />

• Dosimetry verification of RapidArc treatment (+FFF)<br />

• Hypothesis: Beam delivery <strong>with</strong> a <strong>Varian</strong> RapidArc linac can, pretreatment,<br />

be verified accurately and fast <strong>with</strong>out the need for<br />

phantom measurements using time-resolved EPID dosimetry<br />

Total accumulated calculated portal<br />

<strong>dose</strong> for entire arc treatment<br />

Measured total portal image<br />

22


Clinical workflow for routine treatment verification<br />

@ MAASTRO CLINIC – EPICORE SYSTEM (3D)<br />

23


Planning CT<br />

Second CT<br />

Before fx 4<br />

Third CT<br />

Before fx 18<br />

Application:Trends in <strong>dose</strong> discrepancies;<br />

A lung cancer case<br />

24


Monitoring <strong>dose</strong> delivery over the whole treatment<br />

course<br />

CT2 fraction (#) PLAN 2<br />

CT3<br />

field (#)<br />

field (#)<br />

4 5 6 7 8 9<br />

fraction (#) PLAN 3<br />

18 19 20 21 22 23<br />

4 8 12 16 20 24<br />

18<br />

40<br />

20 25 30 35<br />

25


A side story: <strong>DGRT</strong> on small animal irradiation/imaging system<br />

(pre-clinical)<br />

15 x 1mm<br />

beams<br />

Predicted EPI Measured EPI �(5%,0.8mm)<br />

26


Conclusions & Outlook<br />

• DGTR provides powerful tools for decision making in<br />

adaptive RT<br />

– 2D pre-treatment/transit dosimetry<br />

– 3D pre-treatment/transit dosimetry<br />

– Separate machine from patient errors<br />

– Separate systematic from random patient errors<br />

• Ongoing:<br />

– <strong>Time</strong>-resolved EPI dosimetry (‘4D’)<br />

– Clinical integration<br />

– Patient data analysis for different cancer sites<br />

– Decision models 27

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