WebDec 14, 2024 · Dose-volume histogram analysis For all patients and all VOIs, DVHs were computed from D Predicitve-D and D Post-treatment-R. For all DVHs, the following indices of interest were extracted: D90, D70, D50, Dmean and D20, where DX represents the minimum dose received by at least X % of the given volume. Quality-volume histogram … WebNov 2, 2024 · Dose-volume histogram (DVH) analysis and statistics All DVH analyses were done using the Eclipse TPS (HT plans were imported). DVH data was extracted to a TXT-file and then read out by R-Software (R version 3.4.1 (2024-06-30)—The R Foundation for Statistical Computing) and spreadsheets. Statistical analysis was calculated by IBM …
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WebSep 30, 2024 · Dose volume histogram (DVH) analysis demonstrated that treatment plans with minimal MSW showed better plan quality and deliverability and provided clinical relevance as compared to gamma index analysis. CONFLICT OF INTEREST There are no conflicts of interest. REFERENCES Volume 22, Issue 11 November 2024 Pages 29-40 WebApr 15, 2014 · Currently, the independent DVH analysis for each patient is completed prior to plan approval. All patients were treated with RapidArc intensity-modulated radiation therapy (IMRT), consisting of two full gantry rotations. The clinical target volume (CTV) for intermediate-risk patients was the prostate and seminal vesicles for the initial phase ... dav class 6 maths book pdf download
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WebDosimetry end points and statistical analysis. Plan phys and Plan bio were compared in terms of DVH, 5-year bladder and rectal NTCP values (overall toxicity and bleeding episode) and TCP values. To visually present the effect on dose–volume variation, the integral DVH curves of two targets ... WebDose volume histograms (DVHs) are generated and show a graphical representation of the radiation dose delivered to any defined volume. From:Prostate Cancer (Second Edition), 2016 Related terms: Brachytherapy Neoplasm Therapeutic Procedure Patient Tissues Intensity Modulated Radiation Therapy Drug Megadose Computer Assisted Tomography WebThe accuracy of DVH prediction achieved in different OARs showed the great improvements compared to the previous works, and more importantly, the effectiveness and robustness showed by the simplified GRU-RNN trained from relatively small-size DVH samples, fully demonstrated the feasibility of applying the proposed method to small-size patient data. black and blue rated