scholarly journals The impact of corrected field output factors based on IAEA/AAPM code of practice on small‐field dosimetry to the calculated monitor unit in eclipse™ treatment planning system

2020 ◽  
Vol 21 (5) ◽  
pp. 65-75
Author(s):  
Sammuel Mamesa ◽  
Sornjarod Oonsiri ◽  
Taweap Sanghangthum ◽  
Sumalee Yabsantia ◽  
Sivalee Suriyapee
Keyword(s):  
Treatment Planning ◽  
Planning System ◽  
Treatment Planning System ◽  
Small Field ◽  
Monitor Unit ◽  
Small Field Dosimetry ◽  
Code Of Practice ◽  
Output Factors ◽  
The Impact

Evaluation and comparison of second-check monitor unit calculation software with Pinnacle 3 treatment planning system

2018 ◽  
Vol 45 ◽  
pp. 186-191 ◽  
Author(s):  
B. Tuazon ◽  
G. Narayanasamy ◽  
N. Papanikolaou ◽  
N. Kirby ◽  
P. Mavroidis ◽  
...  
Keyword(s):  
Treatment Planning ◽  
Planning System ◽  
Treatment Planning System ◽  
Monitor Unit ◽  
Calculation Software

Two Quality Control Procedures on Radiotherapy Beam Calibration and Treatment Planning System Implementation

1998 ◽  
Vol 84 (2) ◽  
pp. 150-154 ◽  
Author(s):  
Angelo Piermattei ◽  
Luigi Azario ◽  
Stefania delle Canne ◽  
Andrea Fidanzio ◽  
Giovanni Palazzoni
Keyword(s):  
Quality Control ◽  
Treatment Planning ◽  
High Energy ◽  
Planning System ◽  
Treatment Planning System ◽  
Silicon Detectors ◽  
X Ray ◽  
Silicon Diode ◽  
Output Factors ◽  
Control Procedures

New challenging dosimetric approaches, such as narrow beams and 3D algorithms, are being used in radiotherapy. In this paper two quality control (QC) procedures are reported. The first one concerns the QC of the dosimetry of small x-ray beams, generally carried out by using silicon detectors. The comparison of dose values obtained by a silicon diode, a diamond detector, and radiochromic films shows that for x-ray beams of high energy, the silicon diode can give an overestimation of the output factors in phantom, up to 4%. This is due to the higher than unit density silicon diode and the surrounding envelope that restore the lateral electron equilibrium. About the 3D algorithms for breast treatment planning, a quality control test has been adopted to verify the accuracy of the computed dosimetry when “loss of scatter” occurs. The results show a sensible agreement (within 1.5%) between computed and experimental data.

scholarly journals The Commissioning and Validation of EclipseTM Treatment Planning System on a Varian VitalBeamTM Medical Linear Accelerator for Photon and Electron Beams

2021 ◽  
Author(s):  
Samira Yazdani ◽  
Fateme Shirani Takabi ◽  
Abolfazl Nickfarjam
Keyword(s):  
Treatment Planning ◽  
Linear Accelerator ◽  
Electron Beams ◽  
Planning System ◽  
Treatment Planning System ◽  
Patient Treatment ◽  
Depth Dose ◽  
Tps Commissioning ◽  
Calculated Dose ◽  
Output Factors

Purpose: Commissioning of a linear accelerator is a process of acquiring a set of data used for patient treatment. This article presents the beam data measurement results from the commissioning of a VitalBeamTM linac. Materials and Methods: Dosimetric properties for 6,10, and 15 MV photon beams and 6, 9, 12, and 16 MeV electron beams have been performed. Parameters, including Percentage Depth Dose (PDD), depth dose profile, symmetry, flatness, quality index, output factors, and the vital data for Treatment Planning System (TPS) commissioning were measured. The imported data were checked by CIRS phantom accordingly to IAEA TRS-430, TECDOC. Eight different positions of CIRS phantom CT were planned and treated. Finally, the calculated dose at a determined position was compared with measuring data to TPS validation. Results: After comparing 84 points in a different plan, the 83 points were in agreement with the criteria, and just for one point in 15 MV failed. Conclusion: Commissioning of dose and field flatness and symmetry are in tolerance intervals given by Varian. This proves that the studied lines meet the specification and can be used in clinical practice with all available electron and photon energies.

Determination of monitor unit check tolerances based on a comparison with measurement and treatment planning system data

2013 ◽  
Vol 38 (1) ◽  
pp. 81-87
Author(s):  
Helen Curtis ◽  
Neil Richmond ◽  
Kevin Burke ◽  
Chris Walker
Keyword(s):  
Treatment Planning ◽  
Planning System ◽  
Treatment Planning System ◽  
Monitor Unit ◽  
System Data

scholarly journals Assessment of the Monitor Unit Objective tool for VMAT in the Eclipse treatment planning system

2018 ◽  
Vol 23 (2) ◽  
pp. 121-125 ◽  
Author(s):  
Sara Jiménez-Puertas ◽  
David Sánchez-Artuñedo ◽  
Marcelino Hermida-López
Keyword(s):  
Treatment Planning ◽  
Planning System ◽  
Treatment Planning System ◽  
Monitor Unit ◽  
Objective Tool
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