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S777

ESTRO 36 2017

_______________________________________________________________________________________________

characteristics (80 or 120 leaves) are indicated.

Fig 1. Dose volume histogram for the whole body averaged

over the 10 patients of this study, comparing every

treatment technique.

Conclusion

The source for higher values of ID and NTID for HT is the

larger volume receiving dose below 20 Gy. No differences

were found in the election of IMRT delivery. For RapidArc

plans, ID and NTID values are similar to IMRT.

EP-1472 Dosimetric E2E verification using 3D printing

and 3D dosimeter for brain stereotactic radiotherapy

M.S. Kim

1

, K.H. Chang

1

, J. Kwak

1

, G.M. Back

1

, T.Y. Kang

1

,

S.W. Kim

1

, Y. Ji

1

1

Asan Medical Center- Univ of Ulsan, Radiation Oncology,

Seoul, Korea Republic of

Purpose or Objective

To evaluate the dosimetric accuracy of brain stereotactic

radiotherapy (SRT) with a 3D dosimetry system and MRI,

we investigated dosimetric end-to-end verification using

3D printing technology and 3D dosimeter.

Material and Methods

We implemented an anthropomorphic head and neck

phantom with a 3D printed insert made using a 3D printer

designed by the Autodesk software and two gel-filled

spherical glass flasks as a patient having multiple target

brain cancer. For the feasibility study of the gel

dosimeter, the dose linearity, dose rate dependence, and

reproducibility for the gel dosimeter were verified. Gel-

filled vials were irradiated with 6 MV beams to acquire a

calibration curve of dose relation to R2 (1/T2) values in

9.4T MR images. Graded doses from 0 to 8 Gy with an

interval of 2 Gy were delivered. Two PTVs (PTV1,2) were

contoured on the MR images of phantom have dosimetric

gel tumor. To evaluate geometric and dosimetric

accuracy, a treatment plan was created such that D95s for

PTV1 and intentional PTV2 were more than the prescribed

dose. The intentional PTV2 was produced by intentionally

shifting by 5mm from the true target position. 2 arc VMAT

plan was created to deliver 35 Gy in 5 fractions. After

irradiation, calibration vials and phantom were scanned

by 9.4T MRI and then acquired images were analyzed using

an ImageJ and DCMTK software libraries. Scanned MRI

images of phantom were imported to a treatment planning

system and registered to CT images to compare dose

distributions. We also compared the agreement result

between the planned and the measured data in 1D (ion

chamber), 2D (gafchromic film), and 3D (Gel dosimeter).

Results

The best dose linearity was 0.99 (R

2

) at 180 TE (ms).

Reproducibility and dose rate dependency were less than

2.2% and 3.5%, respectively for 180 TE. Point dose

differences in plan vs. ion chamber were 1.08%, 0.47%,

and -2.82%, respectively, for PTV 1, 2, and intentional

PTV. And its differences between plan and gel were 0.98%,

1.66% and 3.76%, respectively, for PTV 1, 2, and shifted

PTV. Gamma passing rates with 3%/3mm criteria were

greater than 99% for all plans. Isodose distributions and

profiles showed qualitatively good agreement between

the gel dosimeter, EBT film and RTP data for all PTVs.

Conclusion

The results indicate that those processes could effectively

evaluate geometric and dosimetric accuracy of brain SRT.

This study using 3D dosimetry system was useful to

validate the 3D dose distributions for patient-specific QA.

EP-1473 Improving the accuracy of dosimetry

verification by non-uniform backscatter correction in

the EPID

Y. Md Radzi

1,2

, R.S. Windle

2

, D.G. Lewis

2

, E. Spezi

1,2

1

Cardiff University, School of Engineering, Cardiff,

United Kingdom

2

Velindre Cancer Centre, Department of Medical Physics,

Cardiff, United Kingdom

Purpose or Objective

Challenges in improving the accuracy of EPID-based

patient dose verification have been widely discussed and

remain a key topic of interest for patient safety, as

exemplified in the UK by the ‘Towards Safer Radiotherapy’

2008 report[1]. In particular, one of which is for every

radiotherapy centre to have protocols for in vivo

dosimetry (IVD) to be used for most patients as

recommended in the Annual Report of the Chief Medical

Officer for 2006 and it is already a legal requirement in

many European Countries [2]. In this presentation, we

report on commissioning and implementation of the

commercially available Dosimetry Check (DC) [3, 4]

system. Particular emphasis has been given to addressing

the significant non-uniform backscatter effect from the

VARIAN aSi-1000 EPID arm [5, 6].

Material and Methods

A backscatter correction matrix was developed by

combination of dosimetric information from a set of

segmented fields sampling on different positions around

the active area of the imager. The matrix was then used

to correct EPID images using MATLAB programming scripts.

The corrected image was created in DICOM format and

exported to Dosimetry Check to read and analyse.

Example treatment fields were generated in our Oncentra

MasterPlan (OMP) Treatment Planning System (TPS), with

several equidistant dose reference points relative to

central axis included. A dose comparison given by DC with

reference to the TPS was recorded in an auto-generated

report. Assessment and comparison undertaken included

the

(i)

asymmetry evaluation of equidistant points before

and after correction being applied with respect to TPS,

(ii)

improvement in segmented IMRT dose profiles after

correction, and

(iii)

OMP-DC pass rate with gamma

criterion 3%/3mm[7], as well as 2-D Gamma Volume

Histogram (GVH) evaluation on outlined PTVs.

Results

(i)

Correction for non-uniform backscatter improved with

overall agreement between fields generated in OMP and

those recorded in DC from within 3% to better than 1%.

(ii)

Agreement between OMP and DC for IMRT dose profiles

with a sample Head & Neck case was improved by

approximately 3% using the correction methodology

(

Table 1

).

(iii)

For gamma comparison of fields in OMP and

DC with 3%/3mm, pass rates were improved from around

80% to around 90% by the correction method. Similarly in

GVH evaluation for the outlined PTVs, pass rate has

increased from around 80% to 90% after correction being

applied.