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Objectives: To demonstrate that novice dosimetry planners efficiently create clinically acceptable IMRT plans for head and neck cancer (HNC) patients using a commercially available multicriteria optimization (MCO) system.
Methods: Twenty HNC patients were enrolled in this in-silico comparative planning study. Per patient, novice planners with less experience in dosimetry planning created an IMRT plan using an MCO system (RayStation). Furthermore, a conventionally planned clinical IMRT plan was available (Pinnacle(3)). All conventional IMRT and MCO-plans were blind-rated by two expert radiation-oncologists in HNC, using a 5-point scale (1-5 with 5 the highest score) assessment form comprising 10 questions. Additionally, plan quality was reported in terms of planning time, dosimetric and normal tissue complication probability (NTCP) comparisons. Inter-rater reliability was derived using the intra-class correlation coefficient (ICC).
Results: In total, the radiation-oncologists rated 800 items on plan quality. The overall plan score indicated no differences between both planning techniques (conventional IMRT: 3.8 ± 1.2 vs. MCO: 3.6 ± 1.1, p = 0.29). The inter-rater reliability of all ratings was 0.65 (95% CI: 0.57-0.71), indicating substantial agreement between the radiation-oncologists. In 93% of cases, the scoring difference of the conventional IMRT and MCO-plans was one point or less. Furthermore, MCO-plans led to slightly higher dose uniformity in the therapeutic planning target volume, to a lower integral body dose (13.9 ± 4.5 Gy vs. 12.9 ± 4.0 Gy, p < 0.001), and to reduced dose to the contra-lateral parotid gland (28.1 ± 11.8 Gy vs. 23.0 ± 11.2 Gy, p < 0.002). Consequently, NTCP estimates for xerostomia reduced by 8.4 ± 7.4% (p < 0.003). The hands-on time of the conventional IMRT planning was approximately 205 min. The time to create an MCO-plan was on average 43 ± 12 min.
Conclusions: MCO planning enables novice treatment planners to create high quality IMRT plans for HNC patients. Plans were created with vastly reduced planning times, requiring less resources and a short learning curve.
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http://dx.doi.org/10.1186/s13014-015-0385-9 | DOI Listing |
J Appl Clin Med Phys
September 2025
Department of Radiation Oncology, University of Utah, Salt Lake City, Utah, USA.
Purpose: The development of on-board cone-beam computed tomography (CBCT) has led to improved target localization and evaluation of patient anatomical change throughout the course of radiation therapy. HyperSight, a newly developed on-board CBCT platform by Varian, has been shown to improve image quality and HU fidelity relative to conventional CBCT. The purpose of this study is to benchmark the dose calculation accuracy of Varian's HyperSight cone-beam computed tomography (CBCT) on the Halcyon platform relative to fan-beam CT-based dose calculations and to perform end-to-end testing of HyperSight CBCT-only based treatment planning.
View Article and Find Full Text PDFRep Pract Oncol Radiother
August 2025
Department of Electroradiology, Poznan University of Medical Sciences, Poznan, Poland.
Background: To compare doses deposited to the liver during right breast radiotherapy with static and dynamic radiotherapy techniques. The second aim was to introduce the liver load index (LLI), a novel index developed to estimate radiation exposure to the liver prior to treatment selection.
Materials And Methods: We prepared radiotherapy treatment plans for ten patients with right breast cancer.
Front Oncol
August 2025
Department of Radiation Oncology, Cancer Center, Peking University Third Hospital, Beijing, China.
Purpose: 3D U-Net deep neural networks are widely used for predicting radiotherapy dose distributions. However, dose prediction for lung cancer IMRT is limited to conventional radiotherapy, with significant errors in predicting the intermediate and low-dose regions.
Methods: We included a mixed dataset of conventional radiotherapy and simultaneous integrated boost (SIB) radiotherapy with various prescription schemes.
Phys Med
September 2025
Sapienza, University of Rome, Department of Scienze di Base e Applicate all'Ingegneria, Rome, Italy; National Institute of Nuclear Physics, INFN, Section of Rome I, Rome, Italy.
Background And Purpose: As the incidence and mortality rates of pancreatic cancer continue to rise, the search for effective treatments is becoming increasingly urgent. Among the therapeutic approaches, highly hypofractionated stereotactic treatments are being explored. This paper explores the potential of Very High Energy Electrons (VHEE) in the range of 80-130 MeV, in light of recent advances in compact accelerator technology and its compatibility with ultra-high dose rate (UHDR) delivery.
View Article and Find Full Text PDFAppl Radiat Isot
August 2025
Department of Oncology, Shenzhen Hospital, Southern Medical University, Shenzhen, 518101, China. Electronic address:
Purpose: With the rapid development of computer technology, techniques with high modulation capabilities, such as Intensity Modulated Radiation Therapy (IMRT) and Volumetric Modulated Arc Therapy (VMAT), have been widely applied in radiotherapy. As a result, it has become essential to perform Pre-treatment Quality Assurance (PQA) for each treatment plan to prevent radiation accidents. We aim to validate the novel uRT-linac 506c's EPID system as an alternative method for PQA by comparing the performance with IMatriXX.
View Article and Find Full Text PDF