ArticleJournal of applied clinical medical physics2023
Quantitative assessment of helical tomotherapy plans complexity.
Article in Journal of applied clinical medical physics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Association of planned-recorded sinogram difference metrics with treatment planning parameters and gamma pass rates in helical tomotherapy.Radiological physics and technology · 2026Article
- Predicting patient-specific quality assurance outcomes in helical tomotherapy using plan complexity and 3D dose-distribution radiomics.Frontiers in oncology · 2026Article
- Reference dosimetry data and machine performance comparison for tomotherapy delivery systems audited by IROC.Journal of applied clinical medical physics · 2025Article
- A case study on optimizing helical tomotherapy parameters for small cell lung cancer with extensive pleural metastasis.Scientific reports · 2025Article
- Evaluation of multileaf collimator driving accuracy in helical rotational irradiation system: Quantitative analysis of leaf open time during treatment.Journal of applied clinical medical physics · 2025Article
- Article
- Evaluation and Comparison of the Dose Received by the Mandible, Maxilla, and Teeth in Two Methods of Three-dimensional Conformal Radiation Therapy and Helical Tomotherapy.Journal of medical signals and sensors · 2024Article
- Impact of delivery time factor on treatment time and plan quality in tomotherapy.Scientific reports · 2023Article
- Prediction models as decision-support tools for virtual patient-specific quality assurance of helical tomotherapy plans.Physics and imaging in radiation oncology · 2023Article
- Quantitative assessment of helical tomotherapy plans complexity.Journal of applied clinical medical physics · 2023Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeAn unnecessary amount of complexity in radiotherapy plans affects the efficiency of the treatments, increasing the uncertainty of dose deposition and its susceptibility to anatomical changes or setup errors. To date, tools for quantitatively assessing the complexity of tomotherapy plans are still limited. In this study, new metrics were developed to characterize different aspects of helical tomotherapy (HT) plans, and their actual effectiveness was investigated.
methodsThe complexity of 464 HT plans delivered on a Radixact platform was evaluated. A new set of metrics was devised to assess beam geometry, leaf opening time (LOT) variability, and modulation over space and time. Sixty-five complexity metrics were extracted from the dataset using the newly in-house developed software library TCoMX: 29 metrics already proposed in the literature and 36 newly developed metrics. Their reciprocal relation is discussed. Their effectiveness was evaluated through correlation analyses with patient-specific quality assurance (PSQA) results.
resultsAn inverse linear relation was found between the average number of closed leaves and the average number of MLC openings and closures as well as between the choice of the modulation factor and the discontinuity of the field, suggesting some intrinsic link between the LOT distribution and the geometrical complexity of the MLC openings. The newly proposed metrics were at least as correlated as the existing ones to the PSQA results. Metrics describing the geometrical complexity of the MLC openings showed the strongest connection to the PSQA results. Significant correlations were found between at least one of the new metrics and the γ index passing rate
conclusionThe new metrics proposed were shown to be effective to characterize more comprehensively the complexity of HT plans. A software library for their automatic extraction is described and made available.
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