Results 31 to 40 of about 164,484 (166)

Risk of second primary cancer from proton arc therapy of pediatric brain tumors

open access: yesPhysics and Imaging in Radiation Oncology, 2023
Proton arc therapy (PAT) is currently explored for clinical implementation, despite its associated low-dose bath. This study therefore aimed at evaluating the risk of radiation-induced second primary cancer (SPC) for PAT in pediatric brain tumor patients.
Laura Toussaint   +3 more
doaj   +1 more source

Tumour therapy with particle beams [PDF]

open access: yesAIP Conference Proceedings, 2000
Photons are exponentially attenuated in matter producing high doses close to the surface. Therefore they are not well suited for the treatment of deep seated tumours. Charged particles, in contrast, exhibit a sharp increase of ionisation density close to the end of their range, the so-called Bragg-peak.
openaire   +2 more sources

Comparing methods to improve cone-beam computed tomography for dose calculations in adaptive proton therapy

open access: yesPhysics and Imaging in Radiation Oncology
Background and purpose: Proton therapy requires dose monitoring, often performed based on repeated computed tomography (reCT) scans. However, reCT scans may not accurately reflect the internal anatomy and patient positioning during treatment.
Casper Dueholm Vestergaard   +7 more
doaj   +1 more source

Three-year insights from a proton therapy centre: Evolving strategies in ependymoma treatment planning

open access: yesTechnical Innovations & Patient Support in Radiation Oncology
Background: Treatment of posterior fossa ependymoma with proton therapy (PT) is challenging due to the proximity to the brainstem and potential risk of brainstem toxicity.
Lieselotte Lauwens   +11 more
doaj   +1 more source

Efficacy and Feasibility of Proton Beam Therapy in Relapsed High-Risk Neuroblastoma-Experiences from the Prospective KiProReg Registry

open access: yesCurrent Oncology, 2022
Background: Despite an intensive multimodal treatment approach, approximately 50% of high-risk (HR) neuroblastoma (NB) patients experience progression. Despite the advances in targeted therapy, high-dose chemotherapy, and other systemic treatment options,
Danny Jazmati   +12 more
doaj   +1 more source

Similar additive effects of doxorubicin in combination with photon or proton irradiation in soft tissue sarcoma models

open access: yesFrontiers in Oncology, 2023
High-precision radiotherapy with proton beams is frequently used in the management of aggressive soft tissue sarcoma (STS) and is often combined with doxorubicin (Dox), the first-line chemotherapy for STS.
Teresa Bernardo   +10 more
doaj   +1 more source

Spot-scanning proton therapy for early breast cancer in free breathing versus deep inspiration breath-hold

open access: yesActa Oncologica
Background and purpose: Proton therapy for breast cancer is usually given in free breathing (FB). With the use of deep inspiration breath-hold (DIBH) technique, the location of the heart is displaced inferiorly, away from the internal mammary nodes and,
Line Bjerregaard Stick   +10 more
doaj   +1 more source

Carbon Ion Radiotherapy for Oligo-Recurrence in the Lung

open access: yesPulmonary Medicine, 2013
The clinical results after carbon ion radiotherapy for the metastatic lung tumors believed to be in the state of oligo-recurrence were evaluated. One hundred and sixteen lesions in 91 patients with lung cancer metastasis were treated with carbon ion ...
Naoyoshi Yamamoto   +3 more
doaj   +1 more source

Difference in the relative biological effectiveness and DNA damage repair processes in response to proton beam therapy according to the positions of the spread out Bragg peak

open access: yesRadiation Oncology, 2017
Background Cellular responses to proton beam irradiation are not yet clearly understood, especially differences in the relative biological effectiveness (RBE) of high-energy proton beams depending on the position on the Spread-Out Bragg Peak (SOBP ...
Hidehiro Hojo   +8 more
doaj   +1 more source

The effect of editing clinical contours on deep-learning segmentation accuracy of the gross tumor volume in glioblastoma

open access: yesPhysics and Imaging in Radiation Oncology
Background and purpose: Deep-learning (DL) models for segmentation of the gross tumor volume (GTV) in radiotherapy are generally based on clinical delineations which suffer from inter-observer variability. The aim of this study was to compare performance
Kim M. Hochreuter   +6 more
doaj   +1 more source

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