[HTML][HTML] Initial feasibility and clinical implementation of daily MR-guided adaptive head and neck cancer radiation therapy on a 1.5 T MR-Linac system: prospective R …

BA McDonald, S Vedam, J Yang, J Wang… - International Journal of …, 2021 - Elsevier
Purpose This prospective study is, to our knowledge, the first report of daily adaptive
radiation therapy (ART) for head and neck cancer (HNC) using a 1.5 T magnetic resonance …

Dosimetric accuracy of MR-guided online adaptive planning for nasopharyngeal carcinoma radiotherapy on 1.5 T MR-Linac

S Ding, H Liu, Y Li, B Wang, R Li, X Huang - Frontiers in Oncology, 2022 - frontiersin.org
Purpose The aim of this study is to evaluate the dose accuracy of bulk relative electron
density (rED) approach for application in 1.5 T MR-Linac and assess the reliability of this …

[HTML][HTML] A convolutional neural network for contouring metastatic lymph nodes on diffusion-weighted magnetic resonance images for assessment of radiotherapy …

OJ Gurney-Champion, JP Kieselmann… - Physics and Imaging in …, 2020 - Elsevier
Background and purpose Retrieving quantitative parameters from magnetic resonance
imaging (MRI), eg for early assessment of radiotherapy treatment response, necessitates …

Synthetic MRI-aided head-and-neck organs-at-risk auto-delineation for CBCT-guided adaptive radiotherapy

X Dai, Y Lei, T Wang, AH Dhabaan… - arXiv preprint arXiv …, 2020 - arxiv.org
Purpose: Organ-at-risk (OAR) delineation is a key step for cone-beam CT (CBCT) based
adaptive radiotherapy planning that can be a time-consuming, labor-intensive, and subject …

Fully automatic multi‐organ segmentation for head and neck cancer radiotherapy using shape representation model constrained fully convolutional neural networks

N Tong, S Gou, S Yang, D Ruan, K Sheng - Medical physics, 2018 - Wiley Online Library
Purpose Intensity modulated radiation therapy (IMRT) is commonly employed for treating
head and neck (H&N) cancer with uniform tumor dose and conformal critical organ sparing …

Quantifying the Dosimetric Impact of Tissue Hounsfield Unit Assignment in Deep Learning-based Synthetic CT Images For MRI-Only Radiation Therapy of The Head …

K Singhrao, CL Dugan, C Calvin, L Pelayo… - International Journal of …, 2023 - redjournal.org
Purpose/Objective (s) MRI-only simulation for head and neck (HN) radiotherapy (RT) could
allow for single-image modality planning with excellent soft tissue contrast. In the MRI-only …

Deep-learning-based generation of synthetic 6-minute MRI from 2-minute MRI for use in head and neck cancer radiotherapy

KA Wahid, J Xu, D El-Habashy, Y Khamis… - Frontiers in …, 2022 - frontiersin.org
Background Quick magnetic resonance imaging (MRI) scans with low contrast-to-noise ratio
are typically acquired for daily MRI-guided radiotherapy setup. However, for patients with …

[HTML][HTML] The application value of LAVA-flex sequences in enhanced MRI scans of nasopharyngeal carcinoma: comparison with T1WI-IDEAL

L Peng, B Chen, E Yu, Y Lin, J Lin, D Zheng… - Frontiers in …, 2024 - frontiersin.org
Introduction Magnetic resonance imaging (MRI) staging scans are critical for the diagnosis
and treatment of patients with nasopharyngeal cancer (NPC). We aimed to evaluate the …

The emerging potential of magnetic resonance imaging in personalizing radiotherapy for head and neck cancer: an oncologist's perspective

KH Wong, R Panek, SA Bhide… - The British Journal of …, 2017 - academic.oup.com
Head and neck cancer (HNC) is a challenging tumour site for radiotherapy delivery owing to
its complex anatomy and proximity to organs at risk (OARs) such as the spinal cord and optic …

[引用][C] Dosimetric accuracy of bulk density assignment on MRI for head and neck IMRT treatment planning

B Teo, AL Chin, A Lin - International Journal of Radiation Oncology …, 2013 - redjournal.org
Results On average, MR W-, MR W+ B-, and MR W+ B+ A-based dose calculations
overestimated V100 of the target (±one standard error of the mean) by 16.5±8.4 …