Volumetric Modulated Arc Therapy - Clinical Implementation. Outline. Acknowledgement. History of VMAT. IMAT Basics of IMAT

Similar documents
IMRT and VMAT Patient Specific QA Using 2D and 3D Detector Arrays

VMAT for dummies: Concepts, Clinical Implementation and Treatment Planning. Rajat Kudchadker, Ph.D. Associate Professor

MapCHECK 2 & 3DVH The Gold Standard for 2D Arrays

MapCHECK 2 & 3DVH. The Gold Standard for 2D Arrays

Raising the Bar in IMRT QA

IMSURE QA SOFTWARE FAST, PRECISE QA SOFTWARE

THE WIRELESS PHANTOM PERFORM ACCURATE PATIENT QA IN LESS TIME THAN EVER!

Acknowledgments. Ping Xia, Ph.D., UCSF. Pam Akazawa, CMD, UCSF. Cynthia Chuang, Ph.D., UCSF

Delta 4 PT. True Volumetric Pre-treatment Verification. The difference is clear

FAST, precise. qa software

ADVANCING CANCER TREATMENT

Disclosure. Outline. Acknowledgments. Ping Xia, Ph.D., Page 1. LINAC and MLC QA for IMRT. Received research support from Siemens Medical Solutions

Monaco VMAT. The Next Generation in IMRT/VMAT Planning. Paulo Mathias Customer Support TPS Application

ADVANCING CANCER TREATMENT

Advanced Radiotherapy

7/29/2017. Making Better IMRT Plans Using a New Direct Aperture Optimization Approach. Aim of Radiotherapy Research. Aim of Radiotherapy Research

8/4/2016. Emerging Linac based SRS/SBRT Technologies with Modulated Arc Delivery. Disclosure. Introduction: Treatment delivery techniques

3DVH : SUN NUCLEAR On The Accuracy Of The corporation Planned Dose Perturbation Algorithm Your Most Valuable QA and Dosimetry Tools *Patent Pending

A comparative analysis for verification of IMRT and VMAT treatment plans using a 2-D and 3-D diode array

Real-time monitoring of linac performance using RT plans and logfiles

3DVH FAQs. What is PDP questions

Dynalog data tool for IMRT plan verification

Evaluation of 3D Gamma index calculation implemented in two commercial dosimetry systems

Dose Calculation and Optimization Algorithms: A Clinical Perspective

New Technology in Radiation Oncology. James E. Gaiser, Ph.D. DABR Physics and Computer Planning Charlotte, NC

Qalitätssicherung an Multileafkollimatoren. Dr. Lutz Müller Würzburg jan 2004

8/2/2017. PerFRACTION from Sun Nuclear Automated Transit Dosimetry for In-Vivo QA

Tomotherapy Physics. Machine Twinning and Quality Assurance. Emilie Soisson, MS

Using a research real-time control interface to go beyond dynamic MLC tracking

Analysis of RapidArc optimization strategies using objective function values and dose-volume histograms

Quick Reference Datasheet For All RIT113 Packages

Facility Questionnaire PART I (General Information for 3DCRT and IMRT)

Photon beam dose distributions in 2D

IMRT site-specific procedure: Prostate (CHHiP)

GPU applications in Cancer Radiation Therapy at UCSD. Steve Jiang, UCSD Radiation Oncology Amit Majumdar, SDSC Dongju (DJ) Choi, SDSC

Hugues Mailleux Medical Physics Department Institut Paoli-Calmettes Marseille France. Sunday 17 July 2016

A secondary monitor unit calculation algorithm using superposition of symmetric, open fields for IMRT plans

Machine and Physics Data Guide

Preface. Med. Phys. 35(9), , Mechanical QA. Radiation Survey Mechanical tests Light radiation Table, Collimator, Gantry Jaws.

Computational modelling and analysis: IOP Medical Physics Group

Medical Dosimetry 37 (2012) Medical Dosimetry. journal homepage:

Transitioning from pencil beam to Monte Carlo for electron dose calculations

NEW METHOD OF COLLECTING OUTPUT FACTORS FOR COMMISSIONING LINEAR ACCELERATORS WITH SPECIAL EMPHASIS

Use of Monte Carlo modelling in radiotherapy linac design. David Roberts, PhD Senior Physicist Elekta

Optimization approaches to volumetric modulated arc therapy planning

Evaluation of detector array technology for the verification of advanced intensity-modulated radiotherapy

Basic Radiation Oncology Physics

TomoTherapy Related Projects. An image guidance alternative on Tomo Low dose MVCT reconstruction Patient Quality Assurance using Sinogram

Image Guidance and Beam Level Imaging in Digital Linacs

Design and performance characteristics of a Cone Beam CT system for Leksell Gamma Knife Icon

ViewRay System Commissioning

The use of an on-board MV imager for plan verification of intensity modulated radiation therapy and volumetrically modulated arc therapy

The MSKCC Approach to IMRT. Outline

Evaluation of fluence-based dose delivery incorporating the spatial variation of dosimetric leaf gap (DLG)

Assesing multileaf collimator effect on the build-up region using Monte Carlo method

A DOSIMETRIC MODEL FOR SMALL-FIELD ELECTRON RADIATION THERAPY A CREATIVE PROJECT (3 SEMESTER HOURS) SUBMITTED TO THE GRADUATE SCHOOL

Quality assurance of a helical tomotherapy machine

Chapter 9 Field Shaping: Scanning Beam

arxiv: v3 [physics.med-ph] 6 Dec 2011

Analysis of Radiation Transport through Multileaf Collimators Using BEAMnrc Code

IAEA-TECDOC-1583 Commissioning of Radiotherapy Treatment Planning Systems: Testing for Typical External Beam Treatment Techniques

DAILY LINAC QA BEAM QA

Version 3.7. User Manual

TPS COMMISSIONING. Laurence Court University of Texas MD Anderson Cancer Center 4/3/2017 1

Code of practice: Create a verification plan for OCTAVIUS Detector 729 in Philips Pinnacle³

Monaco Concepts and IMRT / VMAT Planning LTAMON0003 / 3.0

Feasibility of 3D Printed Patient specific Phantoms for IMRT QA and Other Dosimetric Special Procedures

TEPZZ Z754_7A_T EP A1 (19) (11) EP A1 (12) EUROPEAN PATENT APPLICATION. (51) Int Cl.: A61N 5/10 ( )

Clinical implementation of photon beam flatness measurements to verify beam quality

Commissioning and verification of the collapsed cone convolution superposition algorithm for SBRT delivery using flattening filter-free beams

Acceptance Testing and Commissioning of Monte Carlo Dose Calculation Systems. Bruce Curran University of Michigan Medical Center Ann Arbor, MI

Helical Tomotherapy Qualitative dose Delivery Verification

Basics of treatment planning II

Dosimetric impact of the 160 MLC on head and neck IMRT treatments

ICARO Vienna April Implementing 3D conformal radiotherapy and IMRT in clinical practice: Recommendations of IAEA- TECDOC-1588

Follow this and additional works at:

Radiation therapy treatment plan optimization

Integrated proton-photon treatment planning

Anthropomorphic Verification of the Eclipse AAA Algorithm for Spine SBRT Treatments Involving Titanium Implants

A novel implementation of marc treatment for non-dedicated planning systems using converted IMRT plans

Available online at ScienceDirect. Procedia Computer Science 100 (2016 )

Comparison of MLC error sensitivity of various commercial devices for VMAT pre-treatment quality assurance

Monte Carlo methods in proton beam radiation therapy. Harald Paganetti

A SYSTEM OF DOSIMETRIC CALCULATIONS

Investigation of tilted dose kernels for portal dose prediction in a-si electronic portal imagers

Treatment Planning Optimization for VMAT, Tomotherapy and Cyberknife

Creating a Knowledge Based Model using RapidPlan TM : The Henry Ford Experience

CBCT Equivalent Source Generation Using HVL and Beam Profile Measurements. Johnny Little PSM - Medical Physics Graduate Student University of Arizona

4 Measurement. and Analysis. 4.1 Overview and Underlying Principles 4-1

The Dose Junction Issue Associated with Photon Beams for Large Volume Radiation Therapy and the Sensitivity to Set-up Error

Goals. Scope/exclusions. Outline: follow outline of MPPG (plus rationale & some implementation experiences)

I. INTRODUCTION. Figure 1. Radiation room model at Dongnai General Hospital

VALIDATION OF DIR. Raj Varadhan, PhD, DABMP Minneapolis Radiation Oncology

An experimental investigation on the effect of beam angle optimization on the reduction of beam numbers in IMRT of head and neck tumors

arxiv: v1 [physics.med-ph] 26 Oct 2009

Modulation factors calculated with an EPID-derived MLC fluence model to streamline IMRT/VMAT second checks

radiotherapy Andrew Godley, Ergun Ahunbay, Cheng Peng, and X. Allen Li NCAAPM Spring Meeting 2010 Madison, WI

A Geant4 based treatment plan verification tool: commissioning of the LINAC model and DICOM-RT interface

Auto-Segmentation Using Deformable Image Registration. Disclosure. Objectives 8/4/2011

Outline. Outline 7/24/2014. Fast, near real-time, Monte Carlo dose calculations using GPU. Xun Jia Ph.D. GPU Monte Carlo. Clinical Applications

Transcription:

Volumetric Modulated Arc Therapy - Clinical Implementation Daliang Cao, PhD, DABR Swedish Cancer Institute, Seattle, WA Acknowledgement David M. Shepard, Ph.D. Muhammad K. N. Afghan, Ph.D. Fan Chen, Ph.D. Min Rao, Ph.D. Jinsong Ye, M.S. Tony P. Wong, Ph.D. Vivek Mehta, M.D. David Housley Igor Gomola, Ph.D. Gerry Vantellingen Jie Shi, Ph.D. Kris Lyle Outline History of VMAT Basics of VMAT and its recent development VMAT treatment planning VMAT commissioning and QA VMAT, formally known as Intensity Modulated Arc Therapy (IMAT), was first brought up by Dr. Cedric Yu in 1995. IMAT Basics of IMAT IMAT is a rotational IMRT that can delivered using conventional linear accelerators with conventional MLC. Radiation is on while gantry is rotating with MLC leaves moving continuously. Intensity modulation is created by overlapping arcs. 1995- Initial paper described the delivery technique and demonstrated feasibility. 1

IMAT Delivery Number of Beam Directions Benefit of Rotational IMRT Objective Function Value Standard Deviation In The Target Dose Minimum Dose Covering Mean Dose To 90% Total Integral of the Region At the Target Dose Risk (1.0 = Max) 3 0.665 0.124 0.747 0.488 2733 ARC 1 5 7 0.318 0.242 0.090 0.064 0.814 0.867 0.215 0.206 2564 2597 ARC 2 ARC 3 9 11 15 21 0.222 0.202 0.187 0.176 0.064 0.058 0.053 0.049 0.855 0.879 0.908 0.912 0.192 0.186 0.180 0.171 2599 2570 2542 2545 33 0.151 0.038 0.933 0.155 2544 From Cedric Yu Improvement found by increasing the Independent of the number of beam angles number of beam angles D.M. Shepard, et al, Medical Physics, 26 pp. 1212 (1999); T.R. Mackie, et al, Intensity Modulated Radiation Therapy The State of the Art, pp. 247 (2003) IMAT: 1995-2007 Over this time, the IMAT delivery technique largely withered on the vine. Linac manufacturers did not have control systems capable of delivering IMAT. No treatment planning system offered a robust inverse planning tools for IMAT. IMAT: 2008-2010 Elekta and Varian introduced control systems that are capable of delivering IMAT. Key innovation is that the dose rate, gantry speed, and MLC leaf positions can be changed dynamically during rotational beam delivery. The term VMAT has been adopted. The first robust commercial VMAT planning solutions were introduced. Varian The Single Arc Approach Varian s s initial RapidArc solution focused exclusively on single arc treatments. RapidArc requires a Varian linac,, OBI, EPID, and Eclipse treatment planning. Single arc delivery times are typically 2 minutes or less. Courtesy of Varian Medical 2

Elekta VMAT Key Features One can simultaneously vary: gantry position, gantry speed, leaves of the multi-leaf leaf collimator (MLC), back-up diaphragm, and dose rate Single or multiple arc delivery Coplanar or non-coplanar delivery Collimator rotation Siemens Cone Beam Therapy (CBT) Siemens has a VMAT delivery solution under development. Their approach is based on delivering bursts of radiation symmetrically about a series of discrete beam angles during gantry rotation. VMAT Treatment Planning The beam is turned on and off during the gantry rotation with dose rates up to 32 MU/sec. Commercial Planning Systems Elekta Ergo++ Elekta Monaco VMAT Philips SmartArc Eclipse RapidArc Prowess & Nucletron MasterPlan (Work In Progress) Elekta Ergo++ Anatomy based semi-inverse inverse planning The shape of each segment within a VMAT arc is determined by the Beam s s Eye View (BEV) of targets and adjacent critical structures. After aperture shape is determined, the weight of each segment is optimized to achieve a desirable dose distribution. 3

Ergo++ - Pancreas - Case 1 Ergo++ - Pancreas - Case 1 Ergo++ - GBM Elekta Monaco Elekta Monaco Monaco is an IMRT planning system originally developed at the University of Tubingen. VMAT planning is a work in progress. An arc sequencer was used to convert the optimized fluence maps into a single VMAT arc. Dose calculation uses Monte-Carlo dose engine. PTV1 (60 Gy), PTV2 (57 Gy), and PTV3 (54 Gy). 4

Elekta Monaco Elekta Monaco Prostate Example Philips SmartArc SmartArc is an extension of the current DMPO functionality in Pinnacle. Designed to work with both Varian and Elekta. FDA 510(k) clearance was received in April 09 Currently available clinically in Pinnacle 3 9.0 1 arc, 180 cgy/fraction 480 monitor units, 1.75 minutes H&N Example H&N Example PTV70 PTV60 PTV66 PTV70 Rt. Parotid Lt. Parotid PTV50 PTV60 PTV66 Cord Lt. Parotid 2 arcs, 512 monitor units 4 min. 7 sec. delivery time Solid = SmartArc Dashed = Tomotherapy 5

A Pancreas Case Comparison of different inverse planning approaches Anatomy-based Fluence-based Aperture-based A Pancreas Case A H&N Case Thick Solid lines: Anatomy-based Thin Solid lines: Fluence-based Dashed lines: Aperture-based Thin Solid lines: Anatomy-based Thick Solid lines: Fluence-based Dashed lines: Aperture-based Which Planning System to Choose? The anatomy-based Inverse planning is easy to plan and is capable of generating conformal dose distributions for simple cases. However, it may fail to provide a solution for more complex cases. VMAT Commissioning and QA Both fluence-based and aperture-based inverse planning approaches can achieve comparable plan qualities for most of the clinical cases. 6

Elekta VMAT Commissioning VMAT Commissioning tests Beam flatness and symmetry MLC leaf calibration Sliding window dose Rotational accuracy Beam interruption and termination J.L. Bedford and A.P. Warrington, Commissioning of Volumetric Modulated Arc Therapy (VMAT). IJROBP 73 (2) pp. 537-545 (2009) VMAT Machine Specific QA The three major variables during VMAT delivery MLC leaf position Gantry angle Dose rate A special VMAT plan with specific MLC leaf motion patterns and dose rate variations was developed to check all three major variables Gantry continue rotates while the MLC leaves are moving. Dose rate also varies while gantry is rotating. The plan was measured using a MatriXX 2D ion chamber inserted in a MULTICube phantom. The data were recorded in movie mode with 0.1 second sampling time. The VMAT plan for machine QA How to check the variables MLC leaf motion: The projection position of the tip for each MLC leaf on the MatriXX device can be used to determine the MLC leaf motion accuracy. Gantry angle: The projection width of the 1cm gap between MLC leaves on the MatriXX device can be used to determine the gantry angle. The theoretical dose distribution calculated using convolution/superposition dose engine in Pinnacle. The calculation was done with 1 gantry spacing. Dose rate: The absolute dose measured in the open area from each 0.1s sample can be used to determine the actual dose rate. 7

The measurement result QA Results The measurement was interpolated into 1mm dose grid using cubic spline interpolation method. The sample time is 0.1 second. The standard deviation of the gantry angle error is 1.0 with a maximum error of 2.6. The standard deviation of the leaf position error is 1.1mm with a maximum error of 3.1mm in this case. The mean error of the dose rate is 2.7 MU/minutes or 3.2% in relative mode. VMAT plan QA methods Film & ion chamber. VMAT patient specific QA 2D diode array (Mapcheck( in MapPhan phantom) 2D ion chamber array (MatriXX in MULTICube phantom) Other 2D/3D diode system (Delta4 & ArcCheck) Film & Ion Chamber 2D Diode Array A stack of solid water phantom with a total thickness of 15cm. A 0.6cc farmer chamber was inserted at the depth of 10cm. A film was sandwiched 1cm above the ion chamber. A MapCheck device inserted into a MapPhan solid water phantom 8

2D ion Chamber Array Scandidos Delta 4 A cylinder-shaped plastic phantom with 2 imbedded orthogonal crossing detector planes. 1069 diode detectors Dose is recorded in 2 planes and a 3D dose is reconstructed for comparison with the QA plan. An IBA Matrixx 2D ion-chamber array inserted in a MULTICube phantom. Arc Check Sun Nuclear A Head-&-Neck Case 1386 diode detectors arranged in cylindrical geometry Measures entrance and exit dose The QA can be done in composite or per control point A three-arc head-&- neck case with 498 MU to deliver 200 cgy per fraction The delivery time for this case is 5.6 minutes Film & Ion Chamber QA result MapCheck in MapPhan QA result measurement plan The Gamma analysis passing rate in this case is 96.4% The measured ion chamber dose was 0.2% more than the planned one With 3% and 3mm criteria, the gamma analysis passing rate is 96.5% Dose threshold in gamma analysis is 10% 9

Dose Rate Dependency Calibrate MapCheck with medium dose rate 1.005 relative dose response 1.000 0.995 0.990 0.985 Mapcheck diode 0.980 MatriXX ion chamber 0.975 0.00 50.00 100.00 150.00 200.00 250.00 300.00 350.00 400.00 450.00 500.00 dose rate (MU/minute) Dose calibration was performed at 224 MU/Min The variation of dose response with the dose rate can reach up to 2.5% for MapCheck diode. Gamma passing rate increased to 98.8% Angular dose response of MapCheck diode MatriXX QA results 0 30.0 30.0 25.0 25.0 20.0 20.0 15.0 15.0-90 90 10.0 10.0 detector array 5.0 5.0 & phantom 0.0 0.0 Couch -5.0-5.0-10.0-10.0-180 -120-60 0 60 120 180-180 -120-60 0 60 120 180 Gantry Angle Gantry Angle -180 180 phantom setup MapCheck Diode MatriXX ion chamber P e rc e n t E r ro r (% ) p e r c e n t e rr o r (% ) Significant variation of the dose response can be found when the incidence beam angle is parallel to the detector plane. Each diode in MapCheck may have different angular dose response curve. measurement plan With 3% and 3mm criteria, the passing rate is 98.2% for this coronal onal slice No dose threshold was applied in gamma analysis. Note the passing g rate reduces to 97.1% if a 10% threshold is applied. ArcCheck QA result Summary VMAT has been introduced into daily clinic. As a rotational approach to IMRT, VMAT can provide highly conformal dose distributions with excellent delivery efficiency. Various commercial planning systems are available for VMAT planning. For relative simple cases, all systems can provide high plan quality. However, the anatomy-based semi-inverse inverse planning algorithm may fail to provide a clinical acceptable plan for more complicated head-&-neck cases. The gantry angle, MLC leaf position, and dose rate are three major variables during VMAT delivery that need to be checked as part of o machine specific QA. Various systems can be used for VMAT patient-specific QA provided that users know the limits of each system. Gamma analysis passing rate is 95.2% for this case. 10