جستجوی مقالات مرتبط با کلیدواژه "dose calculation algorithm" در نشریات گروه "پزشکی"
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BackgroundBreast cancer requires evaluating treatment plans using dosimetric and biological parameters. Considering radiation dose distribution and tissue response, healthcare professionals can optimize treatment plans for better outcomes.ObjectiveThis study aimed to evaluate the effects of the different Dose Calculation Algorithms (DCAs) and Biologically Model-Related Parameters (BMRPs) on the prediction of cardiopulmonary complications due to left breast radiotherapy.Material and MethodsIn this practical study, the treatment plans of 21 female patients were simulated in the Monaco Treatment Planning System (TPS) with a prescribed dose of 50 Gy in 25 fractions. Dose distribution was extracted using the three DCAs [Pencil Beam (PB), Collapsed Cone (CC), and Monte Carlo (MC)]. Cardiopulmonary complications were predicted by Normal Tissue Complication Probability (NTCP) calculations using different dosimetric and biological parameters. The Lyman-Kutcher-Burman (LKB) and Relative-Seriality (RS) models were used to calculate NTCP. The endpoint for NTCP calculation was pneumonitis, pericarditis, and late cardiac mortality. The ANOVA test was used for statistical analysis.ResultsIn calculating Tumor Control Probability (TCP), a statistically significant difference was observed between the results of DCAs in the Poisson model. The PB algorithm estimated NTCP as less than others for all Pneumonia BMRPs.ConclusionThe impact of DCAs and BMRPs differs in the estimation of TCP and NTCP. DCAs have a stronger influence on TCP calculation, providing more effective results. On the other hand, BMRPs are more effective in estimating NTCP. Consequently, parameters for radiobiological indices should be cautiously used s to ensure the appropriate consideration of both DCAs and BMRPs.Keywords: Breast neoplasms, Radiotherapy, Tumor Control Probability, Normal Tissue Complications Probability, Dose Calculation Algorithm, Models, Biological
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پیش زمینه و هدف
هدف از این مطالعه، ارزیابی عملکرد الگوریتمهای محاسبه دوز بکار رفته در سیستم طراحی درمان موناکو برای پیش بینی عوارض قلبی و ریوی ناشی از پرتودرمانی پستان چپ میباشد.
مواد و روشهاتوزیع دوز سه بعدی 21 بیمار مبتلا به سرطان پستان چپ توسط دو الگوریتم محاسبه دوز CC و MC با مانیتور یونیت یکسان تهیه شد. عوارض قلبی-ریوی ناشی از پرتو درمانی در این بیماران توسط مدلهای رادیوبیولوژیکی مختلف و همچنین پارامترهای مختلف استخراج شده از مطالعات گذشته با بهکارگیری نرم افزار متلب مورد بررسی قرار گرفت. در این مطالعه محاسبه دوز MC به عنوان دادههای معیار در نظر گرفته شده است. برای مقایسه آماری نتایج به دست آمده از الگوریتمها، آزمون ناپارامتری فریدمن و همچنین آزمون Wilcoxon استفاده شد.
یافتههابرای هر دو الگوریتم محاسبه دوز مقدار TCP به طور قابل قبولی تخمین زده شد که مقدار آن با پارامتر یکسان برای مدل Poisson بیشتر از مدل Niemierko است. اختلاف NTCP برای الگوریتمهای CC و MC برای پنومونیت ریه، پریکاردیت و مرگ و میر قلبی، توسط اکثر مجموعه پارامترها از نظر آماری معنادار نیست.
بحث و نتیجه گیریهر دو الگوریتم محاسبه دوز مقدار TCP را مقدار قابل قبولی تخمین زدهاند و NTCP محاسبه شده توسط این دو الگوریتم به مقدار NTCP مورد انتظار نزدیک است. مقدار به دست آمده برای TCP، NTCP به پارامترهای رادیوبیولوژیکی استفاده شده در فرمول ریاضی و مقدار دوز استخراج شده از الگوریتمهای محاسبه دوز بستگی دارد.
کلید واژگان: سیستم طراحی درمان, سرطان پستان, الگوریتم محاسبه دوز, احتمال عوارض بافت نرمال (NTCP), احتمال کنترل تومور (TCP)Background & AimsThe aim of this study was to evaluate the performance of dose calculation algorithms used in the Monaco treatment planning system to predict cardiopulmonary complications due to left breast radiotherapy.
Materials & MethodsThree-dimensional dose distribution of 21 patients with left breast cancer was prepared by two-dose calculation algorithms (CC and MC) with the same unit monitor. Cardiopulmonary complications due to radiation therapy in these patients were evaluated by different radiobiological models as well as various parameters extracted from previous studies using MATLAB software. In this study, MC dose calculation is considered as benchmark data. Algorithms, Friedman nonparametric test, and Wilcoxon test were used for statistical comparison of the obtained results.
ResultsFor both dose calculation algorithms, the value of TCP was estimated to be acceptable, with the same parameter being higher for the Poisson model than for the Niemierko model. The difference in NTCP for CC and MC algorithms for pulmonary pneumonitis, pericarditis, and cardiac mortality is not statistically significant by most parameters.
ConclusionBoth dose calculation algorithms estimate the TCP value as acceptable and the NTCP calculated by these two algorithms is close to the expected NTCP value. The value obtained for TCP, and NTCP depends on the radiobiological parameters used in the mathematical formula and the amount of dose extracted from the dose calculation algorithms.
Keywords: Treatment Planning System, Breast Cancer, Dose Calculation Algorithm, Normal Tissue Complication Probability (NTCP), Tumor Control Probability (TCP) -
BackgroundDosimetric accuracy in intensity‑modulated radiation therapy (IMRT) is the main part of quality assurance program. Improper beam modeling of small felds by treatment planning system (TPS) can lead to inaccuracy in treatment delivery. This study aimed to evaluate of the dose delivery accuracy at small segments of IMRT technique using two‑dimensional (2D) array as well as evaluate the capability of two TPSs algorithm in modeling of small felds.Materials And MethodsIrradiation were performed using 6 MV photon beam of Siemens Artiste linear accelerator. Dosimetric behaviors of two dose calculation algorithms, namely, collapsed cone convolution/superposition (CCCS) and full scatter convolution (FSC) in small segments of IMRT plans were analyzed using a 2D diode array and gamma evaluation.ResultsComparisons of measurements against TPSs calculations showed that percentage difference of output factors of small felds were 2% and 15% for CCCS and FSC algorithm, respectively. Gamma analysis of calculated dose distributions by TPSs against those measured by 2D array showed that in passing criteria of 3 mm/3%, the mean pass rate for all segment sizes is higher than 95% except for segment sizes below 3 cm × 3 cm optimized by TiGRT TPS.ConclusionsHigh pass rate of gamma index (95%) achieved in planned small segments by Prowess relative to results obtained with TiGRT. This study showed that the accuracy of small feld modeling differs between two dose calculation algorithms.Keywords: Dose calculation algorithm, small-intensity modulated radiation therapy segment, two-dimensional array
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