Results 1 to 10 of about 178,392 (266)

Normal tissue complication probability models for prospectively scored late rectal and urinary morbidity after proton therapy of prostate cancer

open access: yesPhysics and Imaging in Radiation Oncology, 2021
Background and purpose: Photons and protons have fundamentally different properties, i.e. protons have a reduced dose bath but a higher relative biological effectiveness. Photon-based normal tissue complication probability (NTCP) models may therefore not
Jesper Pedersen   +5 more
doaj   +1 more source

Proton Beam Therapy for Children With Neuroblastoma: Experiences From the Prospective KiProReg Registry

open access: yesFrontiers in Oncology, 2021
ObjectiveRadiotherapy (RT) is an integral part of the interdisciplinary treatment of patients with high-risk neuroblastoma (NB). With the continuous improvements of outcome, the interest in local treatment strategies that reduce treatment-related side ...
Danny Jazmati   +22 more
doaj   +1 more source

Treatment plan comparison of proton vs photon radiotherapy for lower-grade gliomas

open access: yesPhysics and Imaging in Radiation Oncology, 2021
Background and purpose: Patients with lower-grade gliomas are long-term survivors after radiotherapy and may benefit from the reduced dose to normal tissue achievable with proton therapy.
Camilla S. Byskov   +12 more
doaj   +1 more source

Circulating cell-free DNA as predictor of pathological complete response in locally advanced rectal cancer patients undergoing preoperative chemoradiotherapy

open access: yesClinical and Translational Radiation Oncology, 2022
Background: The watch and wait (W&W) strategy is proposed for patients with locally advanced rectal cancer (LARC) achieving clinical complete response (cCR) after neoadjuvant radiotherapy.
Christina Glismand Truelsen   +4 more
doaj   +1 more source

Towards interactive deep-learning for tumour segmentation in head and neck cancer radiotherapy

open access: yesPhysics and Imaging in Radiation Oncology, 2023
Background and purpose: With deep-learning, gross tumour volume (GTV) auto-segmentation has substantially been improved, but still substantial manual corrections are needed. With interactive deep-learning (iDL), manual corrections can be used to update a
Zixiang Wei   +3 more
doaj   +1 more source

Evaluation of an a priori scatter correction algorithm for cone-beam computed tomography based range and dose calculations in proton therapy

open access: yesPhysics and Imaging in Radiation Oncology, 2020
Background and purpose: Scatter correction of cone-beam computed tomography (CBCT) projections may enable accurate online dose-delivery estimations in photon and proton-based radiotherapy.
Andreas Gravgaard Andersen   +7 more
doaj   +1 more source

Comparison of two dual-energy CT-based methods for proton stopping-power ratio estimation in brain cancer patients with metal implants

open access: yesActa Oncologica
Background and purpose: Accurate stopping-power ratio (SPR) estimation is crucial for proton therapy planning. In brain cancer patients with metal clips, SPR accuracy may be affected by high-density materials and imaging artefacts.
Ivanka Sojat Tarp   +4 more
doaj   +1 more source

Benefit of range uncertainty reduction in robust optimisation for proton therapy of brain, head-and-neck and breast cancer patients

open access: yesPhysics and Imaging in Radiation Oncology
Background and Purpose: The primary cause of range uncertainty in proton therapy is inaccuracy in estimating the stopping-power ratio from computed tomography.
Ivanka Sojat Tarp   +4 more
doaj   +1 more source

Is an Endorectal Balloon Beneficial for Rectal Sparing after Spacer Implantation in Prostate Cancer Patients Treated with Hypofractionated Intensity-Modulated Proton Beam Therapy? A Dosimetric and Radiobiological Comparison Study

open access: yesCurrent Oncology, 2023
Background: The aim of this study is to examine the dosimetric influence of endorectal balloons (ERB) on rectal sparing in prostate cancer patients with implanted hydrogel rectum spacers treated with dose-escalated or hypofractionated intensity-modulated
Dalia Ahmad Khalil   +10 more
doaj   +1 more source

Proton dose calculation on cone-beam computed tomography using unsupervised 3D deep learning networks

open access: yesPhysics and Imaging in Radiation Oncology
Background and Purpose: Poor image quality of cone-beam computed tomography (CBCT) images can hinder proton dose calculation to assess the influence of anatomy changes.
Casper Dueholm Vestergaard   +6 more
doaj   +1 more source

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