Target coverage and organs at risk dose in hypofractionated salvage radiotherapy after prostatectomy

Autor: Floor H.E. Staal, Jorinde Janssen, Sajee Krishnapillai, Johannes A. Langendijk, Stefan Both, Charlotte L. Brouwer, Shafak Aluwini

Publikováno v: Physics and Imaging in Radiation Oncology, Vol 31, Iss , Pp 100600- (2024)

Background and purpose: Introducing moderately hypofractionated salvage radiotherapy (SRT) following prostatectomy obligates investigation of its effects on clinical target volume (CTV) coverage and organ-at-risk (OAR) doses. This study assessed inte

Externí odkaz: https://doaj.org/article/54bad4ee3751471db5d0322f233d4993

Dose evaluation of inter- and intra-fraction prostate motion in extremely hypofractionated intensity-modulated proton therapy for prostate cancer

Autor: Sen-Quan Feng, Charlotte L. Brouwer, Erik W. Korevaar, Neha Vapiwala, Ken Kang-Hsin Wang, Curtiland Deville, Jr., Johannes A. Langendijk, Stefan Both, Shafak Aluwini

Publikováno v: Physics and Imaging in Radiation Oncology, Vol 27, Iss , Pp 100474- (2023)

Inter- and intra-fractional prostate motion can deteriorate the dose distribution in extremely hypofractionated intensity-modulated proton therapy. We used verification CTs and prostate motion data calculated from 1024 intra-fractional prostate motio

Externí odkaz: https://doaj.org/article/39568299b40049728f265de84b9e164c

Clinical relevance of the radiation dose bath in lower grade glioma, a cross-sectional pilot study on neurocognitive and radiological outcome

Autor: Hiska L. van der Weide, Justyna Kłos, Johannes A. Langendijk, Charlotte L. Brouwer, Peter F. Sinnige, Ronald J.H. Borra, Rudi A.J.O. Dierckx, Rients B. Huitema, Sandra E. Rakers, Anne M. Buunk, Jacoba M. Spikman, Ingeborg B. Bosma, Roelien H. Enting, Merethe Blandhol, Roland K. Chiu, Anouk van der Hoorn, Miranda C.A. Kramer

Publikováno v: Clinical and Translational Radiation Oncology, Vol 33, Iss , Pp 99-105 (2022)

Aim: To investigate the clinical relevance of the radiotherapy (RT) dose bath in patients treated for lower grade glioma (LGG). Methods: Patients (n = 17) treated with RT for LGG were assessed with neurocognitive function (NCF) tests and structural M

Externí odkaz: https://doaj.org/article/04b36663b9244c0383d8b3a4e47d2db3

Machine learning applications in radiation oncology: Current use and needs to support clinical implementation

Autor: Charlotte L. Brouwer, Anna M. Dinkla, Liesbeth Vandewinckele, Wouter Crijns, Michaël Claessens, Dirk Verellen, Wouter van Elmpt

Publikováno v: Physics and Imaging in Radiation Oncology, Vol 16, Iss , Pp 144-148 (2020)

Background and purpose: The use of artificial intelligence (AI)/ machine learning (ML) applications in radiation oncology is emerging, however no clear guidelines on commissioning of ML-based applications exist. The purpose of this study was therefor

Externí odkaz: https://doaj.org/article/ba2efcb06da8443282e1153bf2fcf26b

Accurate segmentation of head and neck radiotherapy CT scans with 3D CNNs: consistency is key

Autor: Edward G A Henderson, Eliana M Vasquez Osorio, Marcel van Herk, Charlotte L Brouwer, Roel J H M Steenbakkers, Andrew F Green

Publikováno v: Henderson, E, Vasquez osorio, E, Van herk, M, Brouwer, C L, Steenbakkers, R J H M & Green, A F 2023, ' Accurate segmentation of head and neck radiotherapy CT scans with 3D CNNs: consistency is key ', Physics in Medicine & Biology . https://doi.org/10.1088/1361-6560/acc309
Physics in Medicine and Biology, 68(8):085003. IOP PUBLISHING LTD

Objective. Automatic segmentation of organs-at-risk in radiotherapy planning computed tomography (CT) scans using convolutional neural networks (CNNs) is an active research area. Very large datasets are usually required to train such CNN models. In r

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b632f2baca56110ed3b62bfb6334fcee
https://research.manchester.ac.uk/en/publications/e013d333-a3f4-4cce-be5e-b875ca651d40