Computed tomography-based virtual simulation versus ultrasound-based clinical setup in electron breast boost radiotherapy: Methodology for CT-based electron virtual simulation

Şerban, M; Lambert, Christine; Ruo, R.; Maietta, C.; Parker, William; Evans, Michael D.; Hijal, Tarek

doi:10.1016/j.ejmp.2019.10.030

Cited by 3 publications

(2 citation statements)

References 24 publications

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“…Medan elektron relatif mudah untuk direncanakan dan diatur, dan merupakan teknik yang baik untuk tumor superfisial (dengan kedalaman maksimum kurang dari 4 cm). (Serban et al, 2019). Radiasi dengan berkas elektron memberikan kelebihan yang berbeda dalam hal keseragaman dosis dalam volume target dan dalam meminimalisir dosis ke jaringan yang lebih dalam, salah satunya paru-paru dan jantung.…”

Section: Pendahuluanunclassified

Penatalaksanaan Radioterapi Booster Elektron Pada Kasus Kanker Payudara

Zahra Faradisi,

Samsun,

Guntur Winarno

et al. 2023

jri

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Background : Radioteraphy is one of the cancer treatment. Booster radiation in breast cancer aimed for eliminating microscopic tumor cells that may remain around the tumor bed. Electron beams are used in radiation boosters in cases of breast cancer because they provide an advantage in terms of uniformity of the target volume dose and in minimizing the dose to deeper tissues, namely the lungs and heart. Cancer has an irregular tumor shape and growth, in order to deliver the right dose to the tumor but still minimize the dose to at-risk organs, the electron beam irradiation field generated by Linac needs to be formed using individual electron blocks made based on calculation plans in the Treatment Planning System ( TPS).The purpose this research is to evaluation the treatment of radiotherapy using electron booster techniques at MRCCC Siloam Hospital Method : The type of the research is used qualitative with a case study approach of breast cancer using electron booster technique in a 46 years old female, curative therapy with fractionation 8x2.5 Gray (Gy) Result : The treatment of boost radiotherapy to breast cancer with electron booster technique was chosen to minimize radiation to lung and heart, the purpose of giving radiation that is curative Conclusions: The treatment of radiotherapy electron booster for breast cancer in MRCCC Siloam Semanggi Hospital is done through in several stages, such as : consultation with Radiation Oncologist at the Radiotherapy Polyclinic, do a simulation on the Computer Tomograpy (CT) simulator, calculated dose and making the design of individual block at Treatment Planning System (TPS), making individual electron blocks using an autocutter in the mould room, Process of geometry verification is done before the treatment and then continued with the process of treatment in the linac room.

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Section: Pendahuluanunclassified

Penatalaksanaan Radioterapi Booster Elektron Pada Kasus Kanker Payudara

Zahra Faradisi,

Samsun,

Guntur Winarno

et al. 2023

jri

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“…• Рекомендуется для полноценного локального контроля проводить высокотехнологичную 3D-конформную дистанционную ЛТ после выполнения предлучевой подготовки на компьютерном томографе или рентгеновском симуляторе с КТ-приставкой. При объемном 3D-планировании рекомендуется оконтуривание лечебных объемов и органов риска [49,50]. УУР В (УДД 2).…”

Section: общие принципы леченияunclassified

Breast cancer

et al. 2021

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Breast Cancer Patient Auto-Setup Using Residual Neural Network for CT-Guided Therapy

Liu

et al. 2020

IEEE Access

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Patient setup will influence the treatment of the breast cancer in radiation therapy. Improving the accuracy of the tumor target localization is vital for the cancer treatment. In this study, we focus on the breast patient setup and develop an accurate tumor localization method based on the deep learning in radiation therapy. The proposed method used a double residual neural network model to achieve the high precision and efficiency patient tumor localization. In the network training, the model attempt to localize the breast and then detect the landmarks inside the localized region. After the model training, we used an iterative filter scheme for calculating a transformation to the daily CT. Therefore, the gray value distribution can match well with the training image. The final landmark positions were obtained after the iteration. The translation errors in the daily CT were determined using the detected landmarks. We used the digital CT phantom images and the real patient CT images to evaluate the proposed method. Then result of the breast patient setup was shown to be clinically acceptable. The mean and standard deviation setup errors were 0.64 ± 1.40 mm, 0.15 ± 1.28 mm, -0.46 ± 1.17 mm in the anterior-posterior, left-right, and superior-inferior, respectively. In conclusion, we proposed an accurate patient setup method, which shown a very promising alternative for marker-free breast auto-setup.

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Computed tomography-based virtual simulation versus ultrasound-based clinical setup in electron breast boost radiotherapy: Methodology for CT-based electron virtual simulation

Cited by 3 publications

References 24 publications

Penatalaksanaan Radioterapi Booster Elektron Pada Kasus Kanker Payudara

Penatalaksanaan Radioterapi Booster Elektron Pada Kasus Kanker Payudara

Breast cancer

Breast Cancer Patient Auto-Setup Using Residual Neural Network for CT-Guided Therapy

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