Aims: Recent improvements in planning systems have made use of sophisticated dose calculation algorithms such as collapsed cone, a realistic possibility for routine lung radiotherapy treatment planning. However, it is more difficult to achieve ICRU 50/62 compliant plans (i.e. a minimum of 95% of the prescribed dose to the planning target volume) with the collapsed cone algorithm, due to the more accurate modelling of dose in heterogeneous media. The aim of this study was to determine planning guidance for the implementation of the collapsed cone algorithm for conventional radiotherapy treatment planning.
Materials And Methods: Ten pencil beam lung plans were recalculated using the collapsed cone algorithm. Then, beam weights were optimised on the recalculated collapsed cone plan, without altering field sizes. Finally, both field sizes and beam weights were optimised on the same plan in an attempt to deliver a minimum of either 90 or 95% of the prescribed dose to the planning target volume. Thus, four sets of plans were available for comparison.
Results: Compared with pencil beam plans recalculated with the collapsed cone algorithm, all collapsed cone plans had improved dose coverage of the planning target volume. For two of the beam weight optimised plans, less than 80% of the planning target volume received 90% of the prescribed dose. For the field size, beam weight optimised plans, nearly 100% of the planning target volume attained 90% of the prescribed dose, with the clinical target volume generally reaching 95%. Compared with the original pencil beam plans, the volume of lung receiving greater than 20 Gy (V(20)) increased by 3.1 and 6.8%, respectively, for those plans optimised to deliver a minimum of 90 or 95% of the prescribed dose to the planning target volume.
Conclusions: We suggest that the collapsed cone algorithm might reasonably be implemented for conventional radiotherapy treatment planning with the aim of delivering a minimum of 90% of the prescribed dose to the planning target volume and 95% of the prescribed dose to the clinical target volume. This guidance offers consistent prescription of dose to target volumes.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.clon.2008.11.018 | DOI Listing |
Ann Thorac Surg Short Rep
December 2024
Duke University Medical Center, Durham, North Carolina.
Background: Direct mechanical ventricular actuation (DMVA) with the Anstadt cup is effective for non-blood-contacting biventricular support. Pneumatic regulation of a silicone device augments ventricular pump function. Vacuum attachment facilitates diastolic augmentation critical for biventricular support.
View Article and Find Full Text PDFAsian Pac J Cancer Prev
December 2024
Department of Physics, Lovely Professional University, Phagwara, India.
Aim: To study the dosimetric behavior of dose computational algorithms in inhomogeneous medium using CMS XiO and MONACO treatment planning system (TPS) for 4 megavoltage (MV), 6 MV and 15 MV photon beam energies.
Material And Methods: Styrofoam blocks of thickness 1.90 cm, 3.
Mol Biol Cell
December 2024
Department of Neuroscience, Jefferson Center for Synaptic Biology, Vickie and Jack Farber Institute for Neuroscience, Sydney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA 19107.
Development of neuronal connections is spatially and temporally controlled by extracellular cues which often activate their cognate cell surface receptors and elicit localized cellular responses. Here, we demonstrate the use of an optogenetic tool to activate receptor signaling locally to induce actin-mediated growth cone remodeling in neurons. Based on the light-induced interaction of light between Cryptochrome 2 (CRY2) and CIB1, we generated a bicistronic vector to co-expresses CRY2 fused to the intracellular domain of a guidance receptor and a membrane-anchored CIB1.
View Article and Find Full Text PDFGround Water
December 2024
Faculty of Civil Engineering and Geosciences, Delft University of Technology, Delft, The Netherlands.
J Med Signals Sens
November 2024
Department of Medical Physics, Faculty of Medicine, Semnan University of Medical Sciences, Semnan, Iran.
Background: Different dose calculation methods vary in accuracy and speed. While most methods sacrifice precision for efficiency Monte Carlo (MC) simulation offers high accuracy but slower calculation. ISOgray treatment planning system (TPS) uses Clarkson, collapsed cone convolution (CCC), and fast Fourier transform (FFT) algorithms for dose distribution.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!