Purpose: To compare measured and calculated doses using Pencil Beam (PB) and Monte Carlo (MC) algorithm on a CIRS thorax phantom for SBRT lung treatments.
Methods: A 6MV photon beam generated by a Primus linac with an Optifocus MLC (Siemens) was used. Dose calculation was done using iPlan v4.1.2 TPS (BrainLAB) by PB and MC (dose to water and dose to medium) algorithms. The commissioning of both algorithms was done reproducing experimental measurements in water. A CIRS thorax phantom was used to compare doses using a Farmer type ion chamber (PTW) and EDR2 radiographic films (KODAK). The ionization chamber, into a tissue equivalent insert, was placed in two position of lung tissue and was irradiated using three treatments plans. Axial dose distributions were measured for four treatments plans using conformal and IMRT technique. Dose distribution comparisons were done by dose profiles and gamma index (3%/3mm).
Results: For the studied beam configurations, ion chamber measurements shows that PB overestimate the dose up to 8.5%, whereas MC has a maximum variation of 1.6%. Dosimetric analysis using dose profiles shows that PB overestimates the dose in the region corresponding to the lung up to 16%. For axial dose distribution comparison the percentage of pixels with gamma index bigger than one for MC and PB was, plan 1: 95.6% versus 87.4%, plan 2: 91.2% versus 77.6%, plan 3: 99.7% versus 93.1% and for plan 4: 98.8% versus 91.7%. It was confirmed that the lower dosimetric errors calculated applying MC algorithm appears when the spatial resolution and variance decrease at the expense of increased computation time.
Conclusions: The agreement between measured and calculated doses, in a phantom with lung heterogeneities, is better with MC algorithm. PB algorithm overestimates the doses in lung tissue, which could have a clinical impact in SBRT lung treatments.
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http://dx.doi.org/10.1118/1.4735543 | DOI Listing |
Int J Radiat Oncol Biol Phys
January 2025
National Cancer Institute, Bethesda, MD. Electronic address:
This white paper examines the potential of pioneering technologies and artificial intelligence (AI)-driven solutions in advancing clinical trials involving radiotherapy. As the field of radiotherapy evolves, the integration of cutting-edge approaches such as radiopharmaceutical dosimetry, FLASH radiotherapy, image-guided radiation therapy (IGRT), and AI promises to improve treatment planning, patient care, and outcomes. Additionally, recent advancements in quantum science, linear energy transfer/relative biological effect (LET/RBE), and the combination of radiotherapy and immunotherapy create new avenues for innovation in clinical trials.
View Article and Find Full Text PDFClin Oncol (R Coll Radiol)
January 2025
Department of Radiation Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China; Department of Radiotherapy Physics & Technology, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China.
Aims: To assess the robustness of 4D-optimised IMPT and PAT plans against interplay effects in non-small cell lung cancer (NSCLC) patients with respiratory motion over 10 mm, and to provide insights into the use of proton-based stereotactic body radiotherapy (SBRT) for lung cancer with significant tumour movement.
Materials And Methods: Fourteen patients with early-stage NSCLC and tumour motion >10 mm were selected. Three hypofraction regimens were generated using 4D robust optimisation with the IMPT and PAT techniques.
BMC Cancer
January 2025
Department of Radiation Oncology, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai, 200032, China.
Purpose: To evaluate the safety and efficacy of Helical Tomotherapy stereotactic body radiotherapy (HT-SBRT) in treating multiple primary lung cancers (MPLCs) and second primary lung cancer (SPLC).
Methods: From January 2010 to September 2023, 106 MPLCs and SPLC (T1-3N0M0) underwent HT-SBRT. The cumulative incidence for local recurrence (LR) was calculated using the competing risk approach and compared using Gray's test.
Phys Med
January 2025
Department of Radiation Oncology, IRCCS Sacro Cuore Don Calabria Hospital, Via Don A. Sempreboni 5, 37024 Negrar di Valpolicella, VR, Italy; University of Brescia, Brescia, Italy.
Purpose: Adaptive MRgRT by 1.5 T MR-linac requires independent verification of the plan-of-the-day by the primary TPS (Monaco) (M). Here we validated a Monte Carlo-based dose-check including the magnetostatic field, SciMoCa (S).
View Article and Find Full Text PDFJ Med Imaging Radiat Oncol
January 2025
Icon Cancer Centre Gold Coast University Hospital, Southport, Queensland, Australia.
Introduction: Patients aged > 85 years are under-represented in research that has established stereotactic body radiotherapy (SBRT) as the standard of care in early stage non-small cell lung cancer (NSCLC) not suitable for or refusing surgery. With an ageing population in Australia, it is important to assess SBRT and cause of death (COD) in elderly patients receiving curative intent lung SBRT.
Methods: This is a multi-centre retrospective review of eligible patients treated across Australia from 2016 to 2022 with curative intent lung SBRT for early stage primary NSCLC, and aged 85 years or over.
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