Results 191 to 200 of about 4,374,982 (417)

Toward a human‐centric co‐design methodology for AI detection of differences between planned and delivered dose in radiotherapy

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Introduction Many artificial intelligence (AI) solutions have been proposed to enhance the radiotherapy (RT) workflow, but limited applications have been implemented to date, suggesting an implementation gap. One contributing factor to this gap is a misalignment between AI systems and their users.
Luca M. Heising, Frank Verhaegen, Stefan G. Scheib, Maria J. G. Jacobs, Carol X. J. Ou, Viola Mottarella, Yin‐Ho Chong, Mariangela Zamburlini, Sebastiaan M. J. J. G. Nijsten, Ans Swinnen, Michel Öllers, Cecile J. A. Wolfs   +11 more
wiley   +1 more source

MRI sequence optimisation methods to identify cranial nerve course for radiotherapy planning. [PDF]

J Med Radiat Sci, 2023
O'Connor LM, Skehan K, Goodwin J, Kumar M.   +3 more
europepmc   +1 more source

Retrospective reconstruction of three dimensional radiotherapy treatment plans from two dimensional planning data

, 1993
Aziz A. Boxwala, Julian Rosenman
openalex   +1 more source

Quantification and dosimetric impact of intra‐fractional bladder changes during CBCT‐guided online adaptive radiotherapy for pelvic cancer treatments

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose This study quantitatively evaluates bladder changes and their dosimetric impact during the on‐couch adaptive process on a commercial CBCT‐based online adaptive radiotherapy (CT‐gART) platform. Methods Data from 183 fractions of ten patients receiving online ART for pelvic cancers were analyzed retrospectively.
Ingrid Valencia Lozano, Elizabeth Buss, Catherine S. Spina, David P. Horowitz, Lisa A. Kachnic, Michael Price, Yi‐Fang Wang, Reshma Munbodh   +7 more
wiley   +1 more source

Evaluation of Cardiac Substructures Dose Sparing in Single and Dual Isocenter RapidArc™ Radiotherapy Planning for Synchronous Bilateral Breast Cancer. [PDF]

Cureus, 2023
Das J, Mishra SK, Singh MN, Bhattacharyya M, Yanthan Y, Kalita AK.   +5 more
europepmc   +1 more source

Diagnostic image‐based treatment planning for online adaptive ultra‐hypofractionated prostate cancer radiotherapy with MR‐Linac

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose A new workflow was investigated for Elekta Unity MR‐Linac by removing the computed tomography (CT)‐simulation step and using diagnostic CT (DCT) for reference plan generation. Materials and methods Ten patients with ultra‐hypofractionated prostate cancer treated with magnetic resonance imaging (MRI)‐guided adaptive radiotherapy were ...
Yuan Xu, Ningning Lu, Qiao Li, Kuo Men, Xinming Zhao, Jianrong Dai   +5 more
wiley   +1 more source

MRI distortion correction is associated with improved local control in stereotactic radiotherapy for brain metastases

Scientific Reports
Distortions in brain MRI caused by gradient nonlinearities may reach several millimeters, thus distortion correction is strongly recommended for radiotherapy treatment planning.
Daniel Höfler, Johanna Grigo, Hadi Siavosch, Marc Saake, Manuel Alexander Schmidt, Thomas Weissmann, Philipp Schubert, Raphaela Voigt, Sebastian Lettmaier, Sabine Semrau, Arnd Dörfler, Michael Uder, Christoph Bert, Rainer Fietkau, Florian Putz   +14 more
doaj   +1 more source

Clinical assessment of a novel machine-learning automated contouring tool for radiotherapy planning. [PDF]

J Appl Clin Med Phys, 2023
Hu Y, Nguyen H, Smith C, Chen T, Byrne M, Archibald-Heeren B, Rijken J, Aland T.   +7 more
europepmc   +1 more source

DeepGI: An Automated Approach for Gastrointestinal Tract Segmentation in MRI Scans [PDF]

arXiv
Gastrointestinal (GI) tract cancers pose a global health challenge, demanding precise radiotherapy planning for optimal treatment outcomes. This paper introduces a cutting-edge approach to automate the segmentation of GI tract regions in magnetic resonance imaging (MRI) scans.
arxiv  

Semi-automated radiotherapy treatment planning with a mathematical model to satisfy treatment goals, Powlis W. D., et al., Int. J. Radiation Oncology Biol. Phys., 16(1), 271〜276, (1989)

, 1990
記載無し
openalex   +2 more sources