Purpose: To study the impact of systematic MLC leaf positional uncertainties (stemming from mechanical inaccuracies or sub-optimal MLC modeling) on the quality of intracranial single-isocenter multi-target VMAT-SRS treatment plans. An estimation of appropriate tolerance levels is attempted.
Methods: Five patients, with three to four metastases and at least one target lying in close proximity to organs-at-risk (OARs) were included in this study. A single-isocenter multi-arc VMAT plan per patient was prepared, which served as the reference for dosimetric impact evaluation. A range of leaf offsets was introduced (±0.03 mm up to ±0.30 mm defined at the MLC plane) to both leaf banks, by varying the leaf offset MLC modeling parameter in Monaco for all the prepared plans, in order to simulate projected leaf offsets of ±0.09 mm up to ±0.94 mm at the isocenter plane, respectively. For all offsets simulated and cases studied, dose distributions were re-calculated and compared with the corresponding reference ones. An experimental dosimetric procedure using the SRS mapCHECK diode array was also performed to support the simulation study results and investigate its suitability to detect small systematic leaf positional errors.
Results: Projected leaf offsets of ±0.09 mm were well-tolerated with respect to both target dosimetry and OAR-sparing. A linear relationship was found between D percentage change and projected leaf offset (slope: 12%/mm). Impact of projected offset on target dosimetry was strongly associated with target volume. In two cases, plans that could be considered potentially clinically unacceptable (i.e., clinical dose constraint violation) were obtained even for projected offsets as small as 0.19 mm. The performed experimental dosimetry check can detect potential small systematic leaf errors.
Conclusions: Plan quality indices and dose-volume metrics are very sensitive to systematic sub-millimeter leaf positional inaccuracies, projected at the isocenter plane. Acceptable and tolerance levels in systematic MLC uncertainties need to be tailored to VMAT-SRS spatial and dosimetric accuracy requirements.
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http://dx.doi.org/10.1002/acm2.13708 | DOI Listing |
Rep Pract Oncol Radiother
December 2024
Department of Radiation Oncology, Kagawa University Hospital, Kagawa, Japan.
Int J Mol Sci
November 2024
Division of Science and Technology, Yunnan Agricultural University, Kunming 650201, China.
Vidarabine (VID) is an antiviral medication that is commonly utilized to treat conditions such as hand, foot, and mouth disease and herpes. Constipation is a prevalent complication of these diseases. Could VID treat these diseases by influencing defecation behavior? To date, no studies have been conducted on the potential of VID to relieve constipation.
View Article and Find Full Text PDFDistribution, characters and habitats of Coenagrion spp. in the Russian part of the Caucasus is considered, chiefly by the authors' own data. There are seven species, of which C.
View Article and Find Full Text PDFKnee Surg Relat Res
November 2024
Department of Radiology, Boston University School of Medicine, Boston, MA, USA.
Background: Precise lower limb measurements are crucial for assessing musculoskeletal health; fully automated solutions have the potential to enhance standardization and reproducibility of these measurements. This study compared the measurements performed by BoneMetrics (Gleamer, Paris, France), a commercial artificial intelligence (AI)-based software, to expert manual measurements on anteroposterior full-leg standing radiographs.
Methods: A retrospective analysis was conducted on a dataset comprising consecutive anteroposterior full-leg standing radiographs obtained from four imaging institutions.
World J Pediatr
November 2024
Sleep Center, Division of Pulmonary and Sleep Medicine, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave, MLC 7041, Cincinnati, OH, USA.
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