Integrated MRI-guided radiotherapy—opportunities and challenges

PJ Keall, C Brighi, C Glide-Hurst, G Liney… - Nature Reviews …, 2022 - nature.com
MRI can help to categorize tissues as malignant or non-malignant both anatomically and
functionally, with a high level of spatial and temporal resolution. This non-invasive imaging …

Roadmap: proton therapy physics and biology

H Paganetti, C Beltran, S Both, L Dong… - Physics in Medicine …, 2021 - iopscience.iop.org
The treatment of cancer with proton radiation therapy was first suggested in 1946 followed
by the first treatments in the 1950s. As of 2020, almost 200 000 patients have been treated …

[HTML][HTML] The role of deep learning and radiomic feature extraction in cancer-specific predictive modelling: a review

A Vial, D Stirling, M Field, M Ros, C Ritz… - Translational Cancer …, 2018 - tcr.amegroups.org
This paper reviews objective methods for prognostic modelling of cancer tumours located
within radiology images, a process known as radiomics. Radiomics is a novel feature …

In vivo range verification in particle therapy

K Parodi, JC Polf - Medical physics, 2018 - Wiley Online Library
Exploitation of the full potential offered by ion beams in clinical practice is still hampered by
several sources of treatment uncertainties, particularly related to the limitations of our ability …

Real-time intrafraction motion monitoring in external beam radiotherapy

J Bertholet, A Knopf, B Eiben… - Physics in medicine …, 2019 - iopscience.iop.org
Radiotherapy (RT) aims to deliver a spatially conformal dose of radiation to tumours while
maximizing the dose sparing to healthy tissues. However, the internal patient anatomy is …

MR-guided proton therapy: a review and a preview

A Hoffmann, B Oborn, M Moteabbed, S Yan… - Radiation …, 2020 - Springer
Background The targeting accuracy of proton therapy (PT) for moving soft-tissue tumours is
expected to greatly improve by real-time magnetic resonance imaging (MRI) guidance. The …

Roadmap for metal nanoparticles in radiation therapy: Current status, translational challenges, and future directions

J Schuemann, AF Bagley, R Berbeco… - Physics in Medicine …, 2020 - iopscience.iop.org
This roadmap outlines the potential roles of metallic nanoparticles (MNPs) in the field of
radiation therapy. MNPs made up of a wide range of materials (from Titanium, Z= 22, to …

[HTML][HTML] Deep learning-based synthetic CT generation for paediatric brain MR-only photon and proton radiotherapy

M Maspero, LG Bentvelzen, MHF Savenije… - Radiotherapy and …, 2020 - Elsevier
Abstract Background and Purpose To enable accurate magnetic resonance imaging (MRI)-
based dose calculations, synthetic computed tomography (sCT) images need to be …

MRI-based treatment planning for proton radiotherapy: dosimetric validation of a deep learning-based liver synthetic CT generation method

Y Liu, Y Lei, Y Wang, T Wang, L Ren… - Physics in Medicine …, 2019 - iopscience.iop.org
Magnetic resonance imaging (MRI) has been widely used in combination with computed
tomography (CT) radiation therapy because MRI improves the accuracy and reliability of …

Magnetic resonance‐guided radiation therapy: a review

S Chin, CL Eccles, A McWilliam… - Journal of medical …, 2020 - Wiley Online Library
Magnetic resonance‐guided radiation therapy (MRgRT) is a promising approach to
improving clinical outcomes for patients treated with radiation therapy. The roles of image …