Eclipse treatment planning system
The Eclipse treatment planning system is a software tool designed for radiation therapy planning. It provides medical professionals with the capabilities to create and optimize treatment plans for cancer patients undergoing radiation therapy. The core function of the Eclipse system is to facilitate the planning and simulation of radiation treatment procedures.
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191 protocols using eclipse treatment planning system
RapidArc Treatment for Low-Risk Prostate Cancer
Optimized VMAT Radiotherapy Planning
Optimized Carbon Ion Treatment Plans
IMRT Planning Using Eclipse TPS
Optimisation parameters were set according to departmental protocol and used physical/dose–volume-based objectives. OAR and non-target tissue (NTT) dose constraint objectives were used to reduce OAR maximum doses and hot spots outside the PTV respectively. Inhomogeneity corrections were applied and dose–volume histogram (DVH) data were generated. Final calculations were made using Eclipse AAA algorithm version 8.6 on an Elekta Synergy beam model using 1 centimetre (cm) multileaf collimators (MLC).
Comparative Dosimetric Analysis of IMRT, VMAT, and CyberKnife
NSCLC Tumor Motion Management Protocol
Characterizing PSMA-negative/FDG-positive Tumors
Any FDG tumour uptake must be at the same spatial location as PSMA-avidity to be eligible for LuPSMA treatment. To verify this eligibility condition, non-physiological uptake was determined independently on the PSMA and FDG PET scans using liver-based threshold method. This exercise was completed by nuclear medicine physicians at the screening stage and resulted on a structure containing all tumour uptakes in each PET scan. These images and structures were retrospectively reviewed in this study. Images and structure sets of these patients were imported to the Eclipse treatment planning system (TPS) for gross tumour volume (GTV) delineation (v16.1, Varian Medical Systems, Palo Alto, USA). PET uptake was characterised from the standardised uptake value (SUV) normalised by body weight, to allow interpatient comparison.
Evaluating Breast Cancer WBRT Plans
Planning CT datasets were acquired using Philips CT Big Bore (Philips Healthcare, Best, The Netherlands) with patients lying supine on a lift-up board and arms raised above the head. Each slice of acquired CT datasets was 3 mm in thickness. Image registration and delineation of gross tumour volume (GTV), PTV and OARs were performed using Eclipse Treatment Planning System (TPS) (version 13.6.23; Varian Medical Systems, Palo Alto, CA, USA). GTV and PTV were contoured by the radiation oncologist. Contoured OARs included contralateral breast (CB), heart, liver, left lung, right lung, and total bilateral lungs. Lung volumes were contoured using auto-threshold function of the planning system. Heart volume was contoured based the heart atlas guidelines. Both CB and liver were delineated based on the visible breast and liver tissues, respectively.
Lung Cancer Treatment Planning Protocols
We used either an analytical anisotropic algorithm or an Acuros XB dose calculation algorithm equipped in an Eclipse treatment planning system (TPS; Varian Medical Systems, Palo Alto, CA, USA) with a calculation grid of 2 mm. The number of patients treated with the Varian CL2100, CLINAC iX, and TrueBeam STx were 41, 109, and 3, respectively. The dose to normal lung was constrained within V5Gy < 65%, V20Gy < 35%, and MLD < 20 Gy, considering the RTOG0617 protocol [13 (link)] and while maintaining an adequate target volume coverage at the time the treatment plans were created.
Both cDVH and dDVH were computed from a dose–volume curve calculated using CT images, a structure set, and calculated dose exported from the Eclipse TPS in-house using MATLAB (MathWorks, Natick, MA, USA). cDVH features, including cV5Gy and cV10Gy–cV60Gy (in 10-Gy increments), and MLD, were also computed. Each dDVH feature was calculated between 5 and 60 Gy with dose bins of 2–8 Gy in 2-Gy increments (resulting in four patterns).
Evaluation of RTOG1308 Treatment Protocols
Following the initial assessment, 130 patient data sets were chosen for this investigation. Fifty score 1 photon cases were randomly selected for model training. Eighty patients were selected as testing cases, and all cases of score 2 and score 3 were included with preferences. Among the 80 testing cases, 20 received IMPT, 20 received PS, and 40 received photon treatments. DICOM CT and RT structures of these 130 patients were imported into Eclipse Treatment Planning System (TPS) (Varian Medical Systems, Palo Alto, CA, USA).
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