Zobrazeno 1 - 10
of 73
pro vyhledávání: '"Mark Bangert"'
Publikováno v:
Physics and Imaging in Radiation Oncology, Vol 14, Iss , Pp 32-38 (2020)
Background and purpose: Proton therapy may be promising for treating non-small-cell lung cancer due to lower doses to the lung and heart, as compared to photon therapy. A reported challenge is degradation, i.e., a smoothing of the depth-dose distribu
Externí odkaz:
https://doaj.org/article/4b72c5161c6b46129ee13c198ea4a837
Autor:
Oliver Schrenk, Claudia Katharina Spindeldreier, Daniela Schmitt, Falk Roeder, Mark Bangert, Lucas Norberto Burigo, Asja Pfaffenberger
Publikováno v:
Physics and Imaging in Radiation Oncology, Vol 8, Iss , Pp 23-27 (2018)
Background and Purpose: Inverse treatment planning for lung cancer can be challenging since density heterogeneities may appear inside the planning target volume (PTV). One method to improve the quality of intensity modulation is the override of low d
Externí odkaz:
https://doaj.org/article/9b4a1a1165ab470bbd0c8fb00aa092d5
Autor:
Rosario Astaburuaga, Hubert S. Gabryś, Beatriz Sánchez-Nieto, Ralf O. Floca, Sebastian Klüter, Kai Schubert, Henrik Hauswald, Mark Bangert
Publikováno v:
Frontiers in Oncology, Vol 9 (2019)
Purpose: Due to the sharp gradients of intensity-modulated radiotherapy (IMRT) dose distributions, treatment uncertainties may induce substantial deviations from the planned dose during irradiation. Here, we investigate if the planned mean dose to pa
Externí odkaz:
https://doaj.org/article/fde485dc728d4e00a64374188454270a
Publikováno v:
Frontiers in Oncology, Vol 8 (2018)
PurposeThe purpose of this study is to investigate whether machine learning with dosiomic, radiomic, and demographic features allows for xerostomia risk assessment more precise than normal tissue complication probability (NTCP) models based on the me
Externí odkaz:
https://doaj.org/article/1aa401e25b25444b8f8821093b4b1583
Publikováno v:
International Journal of Radiation Oncology*Biology*Physics. 111:559-572
Purpose Carbon ions are radiobiologically more effective than photons and are beneficial for treating radioresistant gross tumor volumes (GTV). However, owing to a reduced fractionation effect, they may be disadvantageous for treating infiltrative tu
Publikováno v:
Physics and Imaging in Radiation Oncology, Vol 14, Iss, Pp 32-38 (2020)
Phys. Imag. Radiat. Oncology 14, 32-38 (2020)
Physics and Imaging in Radiation Oncology
Phys. Imag. Radiat. Oncology 14, 32-38 (2020)
Physics and Imaging in Radiation Oncology
Highlights • Heterogeneous lung tissue causes degradation of pristine proton pencil beams. • A degradation model was implemented into a treatment planning system. • For large tumor volumes, degradation was negligible. • The mean lung dose was
Towards a generalised development of synthetic CT images and assessment of their dosimetric accuracy
Publikováno v:
Acta Oncologica. 59:180-187
Background: The interest in generating “synthetic computed tomography (CT) images” from magnetic resonance (MR) images has been increasing over the past years due to advances in MR guidance...
Purpose Proton treatment slots are a limited resource. Combined proton-photon treatments, in which most fractions are delivered with photons and only a few with protons, may represent a practical solution to optimize the allocation of proton resource
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c076eb6e99067674661bdc99a74c4ef
https://www.zora.uzh.ch/id/eprint/193921/
https://www.zora.uzh.ch/id/eprint/193921/
A novel dose calculation approach was designed based on the application of LSTM network that processes the 3D patient/phantom geometry as a sequence of 2D computed tomography input slices yielding a corresponding sequence of 2D slices that forms the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c804f3a73b549c34d912802dd17e00c
http://arxiv.org/abs/2006.06085
http://arxiv.org/abs/2006.06085