Cargando…

Prospective Image Quality and Lesion Assessment in the Setting of MR-Guided Radiation Therapy of Prostate Cancer on an MR-Linac at 1.5 T: A Comparison to a Standard 3 T MRI

SIMPLE SUMMARY: High-precision MR-guided radiotherapy (MRgRT) constitutes the state-of-the-art in the sphere of personalized prostate cancer treatment. To this end, integrating a 1.5 T scanner with a linear accelerator led to the development of MR-Linac (MRL), which could be considered a novel defle...

Descripción completa

Detalles Bibliográficos
Autores principales:	Almansour, Haidara, Afat, Saif, Fritz, Victor, Schick, Fritz, Nachbar, Marcel, Thorwarth, Daniela, Zips, Daniel, Müller, Arndt-Christian, Nikolaou, Konstantin, Othman, Ahmed E., Wegener, Daniel
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8036991/ https://www.ncbi.nlm.nih.gov/pubmed/33810410 http://dx.doi.org/10.3390/cancers13071533

Ejemplares similares

Longitudinal monitoring of Apparent Diffusion Coefficient (ADC) in patients with prostate cancer undergoing MR-guided radiotherapy on an MR-Linac at 1.5 T: a prospective feasibility study
por: Almansour, Haidara, et al.
Publicado: (2023)

Stellenwert des 1,5-T-MR-Linearbeschleunigers für die primäre Therapie des Prostatakarzinoms
por: Wegener, Daniel, et al.
Publicado: (2021)

1.5 T MR-linac planning study to compare two different strategies of rectal boost irradiation
por: Bonomo, Pierluigi, et al.
Publicado: (2020)

First Experience and Prospective Evaluation on Feasibility and Acute Toxicity of Online Adaptive Radiotherapy of the Prostate Bed as Salvage Treatment in Patients with Biochemically Recurrent Prostate Cancer on a 1.5T MR-Linac
por: Wegener, Daniel, et al.
Publicado: (2022)

Estimation of secondary cancer projected risk after partial breast irradiation at the 1.5 T MR-linac
por: De-Colle, C., et al.
Publicado: (2022)

Marker-less online MR-guided stereotactic body radiotherapy of liver metastases at a 1.5 T MR-Linac – Feasibility, workflow data and patient acceptance
por: Gani, Cihan, et al.
Publicado: (2020)

Online MR guided dose escalated radiotherapy for organ preservation in distal rectal cancer
por: Boeke, Simon, et al.
Publicado: (2022)

Accelerated T2-Weighted TSE Imaging of the Prostate Using Deep Learning Image Reconstruction: A Prospective Comparison with Standard T2-Weighted TSE Imaging
por: Gassenmaier, Sebastian, et al.
Publicado: (2021)

Reduction in Acquisition Time and Improvement in Image Quality in T2-Weighted MR Imaging of Musculoskeletal Tumors of the Extremities Using a Novel Deep Learning-Based Reconstruction Technique in a Turbo Spin Echo (TSE) Sequence
por: Wessling, Daniel, et al.
Publicado: (2022)

Local control and patient reported outcomes after online MR guided stereotactic body radiotherapy of liver metastases
por: Uder, Laura, et al.
Publicado: (2023)

Application of a Deep Learning Algorithm for Combined Super-Resolution and Partial Fourier Reconstruction Including Time Reduction in T1-Weighted Precontrast and Postcontrast Gradient Echo Imaging of Abdominopelvic MR Imaging
por: Wessling, Daniel, et al.
Publicado: (2022)

Analysis of the electron-stream effect in patients treated with partial breast irradiation using the 1.5 T MR-linear accelerator
por: De-Colle, C., et al.
Publicado: (2021)

Automatic 3D Monte-Carlo-based secondary dose calculation for online verification of 1.5 T magnetic resonance imaging guided radiotherapy()
por: Nachbar, Marcel, et al.
Publicado: (2021)

Deep Learning Applications in Magnetic Resonance Imaging: Has the Future Become Present?
por: Gassenmaier, Sebastian, et al.
Publicado: (2021)

Impact of MRI on target volume definition in head and neck cancer patients
por: Clasen, Kerstin, et al.
Publicado: (2023)

Feasibility of an accelerated 2D-multi-contrast knee MRI protocol using deep-learning image reconstruction: a prospective intraindividual comparison with a standard MRI protocol
por: Herrmann, Judith, et al.
Publicado: (2022)

A Machine learning model trained on dual-energy CT radiomics significantly improves immunotherapy response prediction for patients with stage IV melanoma
por: Brendlin, Andreas Stefan, et al.
Publicado: (2021)

Compact bunker shielding assessment for 1.5 T MR-Linac
por: Sung, Jiwon, et al.
Publicado: (2022)

Clinical Implementational and Site-Specific Workflows for a 1.5T MR-Linac
por: Dunkerley, David A. P., et al.
Publicado: (2022)

Dosimetric Accuracy of MR-Guided Online Adaptive Planning for Nasopharyngeal Carcinoma Radiotherapy on 1.5 T MR-Linac
por: Ding, Shouliang, et al.
Publicado: (2022)

Thin-Slice Prostate MRI Enabled by Deep Learning Image Reconstruction
por: Gassenmaier, Sebastian, et al.
Publicado: (2023)

Quantitative magnetic resonance imaging on hybrid magnetic resonance linear accelerators: Perspective on technical and clinical validation
por: Thorwarth, Daniela, et al.
Publicado: (2020)

Analysis of pairwise correlations in multi-parametric PET/MR data for biological tumor characterization and treatment individualization strategies
por: Leibfarth, Sara, et al.
Publicado: (2016)

Comparison of Intensity Modulated Radiotherapy Treatment Plans Between 1.5T MR-Linac and Conventional Linac
por: Ding, Shouliang, et al.
Publicado: (2021)

First multicentre experience of SABR for lymph node and liver oligometastatic disease on the unity MR-Linac
por: Janssen, Tomas M., et al.
Publicado: (2022)

Comparison of intensity modulated radiotherapy plan optimisation methods for a 1.5 T MR‐Linac
por: Chuter, Robert, et al.
Publicado: (2018)

Risk analysis of the Unity 1.5 T MR‐Linac adapt‐to‐position workflow
por: Liang, Jiayi, et al.
Publicado: (2022)

Technical Challenges of Real-Time Adaptive MR-Guided Radiotherapy
por: Thorwarth, Daniela, et al.
Publicado: (2021)

Dual-Energy Computed Tomography of the Lung in COVID-19 Patients: Mismatch of Perfusion Defects and Pulmonary Opacities
por: Afat, Saif, et al.
Publicado: (2020)

Commissioning of a 1.5T Elekta Unity MR‐linac: A single institution experience
por: Snyder, Jeffrey E., et al.
Publicado: (2020)

Vas deferens metastasis from prostate adenocarcinoma treated with daily-adaptive MR-guided SBRT on 1.5T MR-linac
por: Vitale, Claudio, et al.
Publicado: (2022)

Machine learning identifies multi-parametric functional PET/MR imaging cluster to predict radiation resistance in preclinical head and neck cancer models
por: Boeke, Simon, et al.
Publicado: (2023)

Faster Elbow MRI with Deep Learning Reconstruction—Assessment of Image Quality, Diagnostic Confidence, and Anatomy Visualization Compared to Standard Imaging
por: Herrmann, Judith, et al.
Publicado: (2023)

Clinical outcomes after online adaptive MR-guided stereotactic body radiotherapy for pancreatic tumors on a 1.5 T MR-linac
por: Eijkelenkamp, Hidde, et al.
Publicado: (2023)

A comparison of emulsifiers for the formation of oil-in-water emulsions: stability of the emulsions within 9 h after production and MR signal properties
por: Fritz, Victor, et al.
Publicado: (2021)

Automated Planning for Prostate Stereotactic Body Radiation Therapy on the 1.5 T MR-Linac
por: Naccarato, Stefania, et al.
Publicado: (2022)

Introduction of radiation therapist‐led adaptive treatments on a 1.5 T MR‐Linac
por: Picton, Maddison, et al.
Publicado: (2022)

High-resolution entry and exit surface dosimetry in a 1.5 T MR-linac
por: Patterson, E., et al.
Publicado: (2023)

Evaluation of Unity 1.5 T MR‐linac plan quality in patients with prostate cancer
por: Tanaka, Shohei, et al.
Publicado: (2023)

MR‐linac is the best modality for lung SBRT
por: Godley, Andrew, et al.
Publicado: (2019)

Cannot write session to /tmp/vufind_sessions/sess_ilf3i5brb0me85pdtmqvie9mt4