Biology-guided Radiation Therapy
General articles
Recommendations for improved reproducibility of ADC derivation on behalf of the Elekta MRI-linac Consortium Image Analysis Working Group.
Radiother Oncol. 2023;186:109803. Bisgaard ALH; Keesman R; L H M W van Lier A; Coolens C; van Houdt PJ; Tree A; Wetscherek A; Romesser PB; Tyagi N; Lo Russo M; Habrich J; Vesprini D; Lau AZ; Mook S; Chung P; Kerkmeijer LGW; A R Gouw Z; Lorenzen EL; van der Heide UA; Schytte T; Brink C; Mahmood F. doi: 10.1016/j.radonc.2023.109803
Integrated MRI-linac systems: The new paradigm for precision adaptive radiotherapy and biological image-guidance?
Radiother Oncol.2022;176:249-250. van der Heide U; Thwaites DI. doi: 10.1016/j.radonc.2022.08.016
Integration of quantitative imaging biomarkers in clinical trials for MR-guided radiotherapy: Conceptual guidance for multicentre studies from the MR-Linac Consortium Imaging Biomarker Working Group
Eur J Cancer.2021;153:64-71. van Houdt PJ; Saeed H; Thorwarth D; Fuller CD; Hall WA; McDonald BA; Shukla-Dave A; Kooreman ES; Philippens MEP; van Lier ALHMW; Keesman R; Mahmood F; Coolens C; Stanescu T; Wang J; Tyagi N; Wetscherek A; van der Heide UA. doi: 10.1016/j.ejca.2021.04.041
Technical Challenges of Real-Time Adaptive MR-Guided Radiotherapy
Front Oncol.2021;11:634507. Thorwarth D; Low DA. doi: 10.3389/fonc.2021.634507
ADC measurements on the Unity MR-linac - A recommendation on behalf of the Elekta Unity MR-linac consortium
Radiother Oncol.2020;153:106-113. Kooreman ES; van Houdt PJ; Keesman R; Pos FJ; van Pelt VWJ; Nowee ME; Wetscherek A; Tijssen RHN; Philippens MEP; Thorwarth D; Wang J; Shukla-Dave A; Hall WA; Paulson ES; van der Heide UA. doi: 10.1016/j.radonc.2020.09.046
Quantitative magnetic resonance imaging on hybrid magnetic resonance linear accelerators: Perspective on technical and clinical validation
Phys Imaging Radiat Oncol.2020;16:69-73. Thorwarth D; Ege M; Nachbar M; Mönnich D; Gani C; Zips D; Boeke S. doi: 10.1016/j.phro.2020.09.007
Quantitative Magnetic Resonance Imaging for Biological Image-Guided Adaptive Radiotherapy
Front Oncol.2020;10:615643. van Houdt PJ; Yang Y; van der Heide UA. doi: 10.3389/fonc.2020.615643
Feasibility and accuracy of quantitative imaging on a 1.5 T MR-linear accelerator
Radiother Oncol.2019;133:156-162. Kooreman ES; van Houdt PJ; Nowee ME; van Pelt VWJ; Tijssen RHN; Paulson ES; Gurney-Champion OJ; Wang J; Koetsveld F; van Buuren LD; Ter Beek LC; van der Heide UA. doi: 10.1016/j.radonc.2019.01.011
Central Nervous System
Diffusion-weighted imaging on an MRI-linear accelerator to identify adversely prognostic tumour regions in glioblastoma during chemoradiation.
Radiother Oncol. 2023;188:109873. Lawrence LSP; Chan RW; Chen H; Stewart J; Ruschin M; Theriault A; Myrehaug S; Detsky J; Maralani PJ; Tseng CL; Soliman H; Jane Lim-Fat M; Das S; Stanisz GJ; Sahgal A; Lau AZ. doi: 10.1016/j.radonc.2023.109873
Accuracy and precision of apparent diffusion coefficient measurements on a 1.5 T MR-Linac in central nervous system tumour patients
Radiother Oncol.2021;164:155-162. Lawrence LSP; Chan RW; Chen H; Keller B; Stewart J; Ruschin M; Chugh B; Campbell M; Theriault A; Stanisz GJ; MacKenzie S; Myrehaug S; Detsky J; Maralani PJ; Tseng CL; Czarnota GJ; Sahgal A; Lau AZ. doi: 10.1016/j.radonc.2021.09.020
Chemical exchange saturation transfer MRI in central nervous system tumours on a 1.5 T MR-Linac
Radiother Oncol.2021;162:140-149. Chan RW; Lawrence LSP; Oglesby RT; Chen H; Stewart J; Theriault A; Campbell M; Ruschin M; Myrehaug S; Atenafu EG; Keller B; Chugh B; MacKenzie S; Tseng CL; Detsky J; Maralani PJ; Czarnota GJ; Stanisz GJ; Sahgal A; Lau AZ. doi: 10.1016/j.radonc.2021.07.010
MR-Guided Radiotherapy for Brain and Spine Tumors
Front Oncol.2021;11:626100. Maziero D; Straza MW; Ford JC; Bovi JA; Diwanji T; Stoyanova R; Paulson ES; Mellon EA. doi: 10.3389/fonc.2021.626100
Head and Neck
Longitudinal diffusion and volumetric kinetics of head and neck cancer magnetic resonance on a 1.5 T MR-linear accelerator hybrid system: A prospective R-IDEAL stage 2a imaging biomarker characterization/pre-qualification study
Clin Transl Radiat Oncol. 2023;42:100666. Joint Head and Neck Radiation Therapy-MRI Development Cooperative; MR-Linac Consortium Head and Neck Tumor Site Group. doi: 10.1016/j.ctro.2023.100666
Prospective Evaluation of In Vivo and Phantom Repeatability and Reproducibility of Diffusion-Weighted MRI Sequences on 1.5T MRI-Linear Accelerator (MR-Linac) and MR Simulator Devices for Head and Neck Cancers
Radiother Oncol.2023;185:109717. McDonald BA; Salzillo T; Mulder S; Ahmed S; Dresner A; Preston K; He R; Christodouleas J; Mohamed ASR; Philippens M; van Houdt P; Thorwarth D; Wang J; Shukla-Dave A, Boss M, Fuller CD. doi.org/10.1016/j.radonc.2023.109717
First-in-human technique translation of oxygen-enhanced MRI to an MR Linac system in patients with head and neck cancer
Radiother Oncol.2023;183:109592. Dubec MJ; Buckley DL; Berks M; Clough A; Gaffney J; Datta A; McHugh DJ; Porta N; Little RA; Cheung S; Hague C; Eccles CL; Hoskin PJ; Bristow RG; Matthews JC; van Herk M; Choudhury A; Jm Parker G; McPartlin A; Pb O'Connor J doi: 10.1016/j.radonc.2023.109592
Review of functional magnetic resonance imaging in the assessment of nasopharyngeal carcinoma treatment response
Precision Radiation Oncology.2022;6:177-185. Wong Kwun; Cheng Ka; Lam Sai; Liu Chenyang; Cai Jing. doi: 10.1002/pro6.1161
Repeatability of diffusion-weighted magnetic resonance imaging in head and neck cancer at a 1.5 T MR-Linac
Radiother Oncol.2022;174:141-148. Habrich J; Boeke S; Nachbar M; Nikolaou K; Schick F; Gani C; Zips D; Thorwarth D. doi: 10.1016/j.radonc.2022.07.020
Target Volume Delineation Using Diffusion-weighted Imaging for MR-guided Radiotherapy: A Case Series of Laryngeal Cancer Validated by Pathology
Cureus.2018;10:e2465. Ligtenberg H; Schakel T; Dankbaar JW; Ruiter LN; Peltenburg B; Willems SM; Kasperts N; Terhaard CHJ; Raaijmakers CPJ Philippens MEP. doi: 10.7759/cureus.2465
Heart
Feasibility of cardiac-synchronized quantitative T1 and T2 mapping on a hybrid 1.5 Tesla magnetic resonance imaging and linear accelerator system
Phys Imaging Radiat Oncol.2022;21:153-159. Akdag O; Mandija S; van Lier ALHMW; Borman PTS; Schakel T; Alberts E; van der Heide O; Hassink RJ; Verhoeff JJC; Mohamed Hoesein FAA; Raaymakers BW; Fast MF. doi: 10.1016/j.phro.2022.02.017
Liver
Quantifying Liver Heterogeneity via R2*-MRI with Super-Paramagnetic Iron Oxide Nanoparticles (SPION) to Characterize Liver Function and Tumor
Cancers.14:5269. Lee D; Sohn J; Kirichenko A. doi: 10.3390/cancers14215269
Prostate
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
Radiol. Oncol. 2023;57(2):184-190. Almansour H; Schick F; Nachbar M; Afat S; Fritz V; Thorwarth D; Zips D; Bertram F; Muller AC; Nikolaou K; Othman AE; Wegener D. doi: 10.2478/raon-2023-0020
Longitudinal Correlations Between Intravoxel Incoherent Motion (IVIM) and Dynamic Contrast-Enhanced (DCE) MRI During Radiotherapy in Prostate Cancer Patients
Front Oncol.2022;12:897130. Kooreman ES; van Pelt V; Nowee ME; Pos F; van der Heide UA; van Houdt PJ. doi: 10.3389/fonc.2022.897130
Daily Intravoxel Incoherent Motion (IVIM) In Prostate Cancer Patients During MR-Guided Radiotherapy-A Multicenter Study
Front Oncol.2021;11:705964. Kooreman ES; van Houdt PJ; Keesman R; van Pelt VWJ; Nowee ME; Pos F; Sikorska K; Wetscherek A; Muller AC; Thorwarth D; Tree AC; van der Heide UA. doi: 10.3389/fonc.2021.705964
Serial T2-Weighted Magnetic Resonance Images Acquired on a 1.5 Tesla Magnetic Resonance Linear Accelerator Reveal Radiomic Feature Variation in Organs at Risk: An Exploratory Analysis of Novel Metrics of Tissue Response in Prostate Cancer
Cureus.2019;11:e4510. Lorenz JW; Schott D; Rein L; Mostafaei F; Noid G; Lawton C; Bedi M; Li XA; Schultz CJ; Paulson E; Hall WA. doi: 10.7759/cureus.4510
Longitudinal Correlations Between Intravoxel Incoherent Motion (IVIM) and Dynamic Contrast-Enhanced (DCE) MRI During Radiotherapy in Prostate Cancer Patients
Front Oncol.2022;12:897130. Kooreman ES; van Pelt V; Nowee ME; Pos F; van der Heide UA; van Houdt PJ. doi: 10.3389/fonc.2022.897130
Reliability of MRI radiomics features in MR-guided radiotherapy for prostate cancer: Repeatability, reproducibility, and within-subject agreement
Med Phys.2021;48:6976–6986. Xue C, Yuan J, Poon DM, Zhou Y, Yang B, Yu SK, Cheung YK. doi: 10.1002/mp.15232
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
Cancers (Basel).2021;13: Almansour H; Afat S; Fritz V; Schick F; Nachbar M; Thorwarth D; Zips D; Muller AC; Nikolaou K; Othman AE; Wegener D. doi: 10.3390/cancers13071533
Rectum
Quantitative analysis of diffusion weighted imaging in rectal cancer during radiotherapy using a magnetic resonance imaging integrated linear accelerator
Phys Imaging Radiat Oncol.2022;23:32-37. Ingle M; Blackledge M; White I; Wetscherek A; Lalondrelle S; Hafeez S; Bhide S. doi: 10.1016/j.phro.2022.06.003
T1ρ for Radiotherapy Treatment Response Monitoring in Rectal Cancer Patients: A Pilot Study
J Clin Med.2022;11. Kooreman ES; Tanaka M; Ter Beek LC; Peters FP; Marijnen CAM; van der Heide UA; van Houdt PJ. doi: 10.3390/jcm11071998
Technical articles
Quality assurance assessment of Intra-Acquisition Diffusion-Weighted and T2-Weighted magnetic resonance imaging registration and contour propagation for head and neck cancer radiotherapy
Med Phys.2022. Naser MA; Wahid KA; Ahmed S; Salama V; Dede C; Edwards BW; Lin R; McDonald B; Salzillo TC; He R; Ding Y; Abdelaal MA; Thill D; O'Connell N; Willcut V; Christodouleas JP; Lai SY; Fuller CD; Mohamed ASR. doi: 10.1002/mp.16128
Potential of Deep Learning in Quantitative Magnetic Resonance Imaging for Personalized Radiotherapy
Semin Radiat Oncol.2022;32:377-388. Gurney-Champion OJ; Landry G; Redalen KR; Thorwarth D. doi: 10.1016/j.semradonc.2022.06.007
Longitudinal assessment of quality assurance measurements in a 1.5 T MR-linac: Part II-Magnetic resonance imaging
J Appl Clin Med Phys.2022;23:e13586.Subashi E; Dresner A; Tyagi N. doi: 10.1002/acm2.13586
A convolutional neural network for contouring metastatic lymph nodes on diffusion-weighted magnetic resonance images for assessment of radiotherapy response
Phys Imaging Radiat Oncol.2020;15:1-7. Gurney-Champion OJ; Kieselmann JP; Wong KH; Ng-Cheng-Hin B; Harrington K; Oelfke U. doi: 10.1016/j.phro.2020.06.002
Technical feasibility of magnetic resonance fingerprinting on a 1.5T MRI-linac
Phys Med Biol.2020;65:22NT01. Bruijnen T; van der Heide O; Intven MPW; Mook S; Lagendijk JJW; van den Berg CAT; Tijssen RHN. doi: 10.1088/1361-6560/abbb9d