Computed Tomography as a Source of Electron Density Information for Radiation Treatment Planning

Skrzyński, Witold; Zielińska-Dąbrowska, Sylwia; Wachowicz, Marta; Ślusarczyk-Kacprzyk, Wioletta; Kukołowicz, Paweł; Bulski, W.

doi:10.1007/s00066-010-2086-5

Cited by 40 publications

(32 citation statements)

References 23 publications

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“…After the CT scans were obtained for FB (CT FB ), the EIH CT scans (CT EIH ) and EEH CT scans (CT EEH ) associated with ABC were performed. All CT scans were obtained in a spiral scan model (pitch = 0.938, table speed = 30 mm/s, reconstruction slice thickness = 3.0 mm) [26,27]. The CT images were transmitted to the treatment planning system Varian Eclipse V8.6.15 (Varian Medical Systems, Palo Alto, CA, USA) for target volume contouring and plan designing.…”

Section: Ct Simulation and Ptv Acquisitionmentioning

confidence: 99%

RapidArc combined with the active breathing coordinator provides an effective and accurate approach for the radiotherapy of hepatocellular carcinoma

et al. 2012

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Section: Ct Simulation and Ptv Acquisitionmentioning

confidence: 99%

RapidArc combined with the active breathing coordinator provides an effective and accurate approach for the radiotherapy of hepatocellular carcinoma

et al. 2012

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“…In order to exclude HU to ED conversion effects, the same calibration curve was established in Monaco. For this purpose HU determination of tissue substitutes was performed with the Gammex 467 phantom (Gammex RMI, UK) and the results converted using aforementioned equations [30].…”

Section: Dose Calculation Algorithms and Tpsmentioning

confidence: 99%

Dosimetrischer Vergleich eines erweiterten Collapsed-Cone-Algorithmus mit einem neuen kommerziell verfügbaren Monte-Carlo-Algorithmus anhand klinisch relevanter Fälle

et al. 2011

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“…In external beam radiotherapy, computed tomography (CT) is the primary imaging modality for treatment planning (Chernak et al 1975, Pereira et al 2014, since it enables precise calcul ation of dose distributions (Seco and Evans 2006, Skrzyński et al 2010, Brock and Dawson 2014, and provides reference images allowing for pre-treatment positioning (Van den Berge et al 2000).…”

Section: Introductionmentioning

confidence: 99%

Quantification of confounding factors in MRI-based dose calculations as applied to prostate IMRT

et al. 2017

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Magnetic resonance (MR)-only radiotherapy treatment planning requires pseudo-CT (pCT) images to enable MR-based dose calculations. To verify the accuracy of MR-based dose calculations, institutions interested in introducing MR-only planning will have to compare pCT-based and computer tomography (CT)-based dose calculations. However, interpreting such comparison studies may be challenging, since potential differences arise from a range of confounding factors which are not necessarily specific to MR-only planning. Therefore, the aim of this study is to identify and quantify the contribution of factors confounding dosimetric accuracy estimation in comparison studies between CT and pCT. The following factors were distinguished: set-up and positioning differences between imaging sessions, MR-related geometric inaccuracy, pCT generation, use of specific calibration curves to convert pCT into electron density information, and registration errors.The study comprised fourteen prostate cancer patients who underwent CT/ MRI-based treatment planning. To enable pCT generation, a commercial solution (MRCAT, Philips Healthcare, Vantaa, Finland) was adopted. IMRT plans were calculated on CT (gold standard) and pCTs. Dose difference maps in a high dose region (CTV) and in the body volume were evaluated, and the contribution to dose errors of possible confounding factors was individually quantified.We found that the largest confounding factor leading to dose difference was the use of different calibration curves to convert pCT and CT into electron density (0.7%). The second largest factor was the pCT generation Inter-scan differences due to patient repositioning, MR-related geometric inaccuracy, and registration errors did not significantly contribute to dose differences (0.01%). The proposed approach successfully identified and quantified the factors confounding accurate MRI-based dose calculation in the prostate. This study will be valuable for institutions interested in introducing MR-only dose planning in their clinical practice.

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Computed Tomography as a Source of Electron Density Information for Radiation Treatment Planning

Cited by 40 publications

References 23 publications

RapidArc combined with the active breathing coordinator provides an effective and accurate approach for the radiotherapy of hepatocellular carcinoma

RapidArc combined with the active breathing coordinator provides an effective and accurate approach for the radiotherapy of hepatocellular carcinoma

Dosimetrischer Vergleich eines erweiterten Collapsed-Cone-Algorithmus mit einem neuen kommerziell verfügbaren Monte-Carlo-Algorithmus anhand klinisch relevanter Fälle

Quantification of confounding factors in MRI-based dose calculations as applied to prostate IMRT

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