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Akdag O, Mandija S, Borman PTS, Tzitzimpasis P, van Lier ALHMW, Keesman R, Raaymakers BW, Fast MF. Evaluation of the impact of cardiac implantable electronic devices on cine MRI for real-time adaptive cardiac radioablation on a 1.5 T MR-linac. Med Phys 2024. [PMID: 39365684 DOI: 10.1002/mp.17438] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2024] [Revised: 07/22/2024] [Accepted: 08/23/2024] [Indexed: 10/06/2024] Open
Abstract
BACKGROUND Stereotactic arrhythmia radioablation (STAR) is a novel treatment approach for refractory ventricular tachycardia (VT). The risk of treatment-induced toxicity and geographic miss can be reduced with online MRI-guidance on an MR-linac. However, most VT patients carry cardiac implantable electronic devices (CIED), which compromise MR images. PURPOSE Robust MR-linac imaging sequences are required for cardiac visualization and accurate motion monitoring in presence of a CIED during MRI-guided STAR. We optimized two clinically available cine sequences for cardiorespiratory motion estimation in presence of a CIED on a 1.5 T MR-linac. The image quality, motion estimation accuracy, and geometric fidelity using these cine sequences were evaluated. METHODS Clinically available 2D balanced steady-state free precession (bSSFP, voxel size = 3.0 × $\times$ 3.0 × $\times$ 10 mm3, Tscan = 96 ms, bandwidth (BW) = 1884 Hz/px) andT 1 ${\rm T}_{1}$ -spoiled gradient echo (T 1 ${\rm T}_{1}$ -GRE, voxel size = 4.0 × $ \times$ 4.0 × $ \times$ 10 mm3, Tscan = 97 ms, BW = 500 Hz/px) sequences were adjusted for real-time cardiac visualization and cardiorespiratory motion estimation on a 1.5 T Unity MR-linac (Elekta AB, Stockholm, Sweden), while complying with safety guidelines for MRI in presence of CIEDs (specific absorption rate < $ <$ 2 W/kg andd B d t < $\frac{dB}{dt}<$ 80 mT/s). Cine acquisitions were performed in five healthy volunteers, with and without an implantable cardioverter- defibrillator (ICD) placed on the clavicle, and a VT patient. Generalized divergence-curl (GDC) deformable image registration (DIR) was used for automated landmark motion estimation in the left ventricle (LV). Gaussian processes (GP), a machine-learning technique, was trained using GDC landmarks and deployed for real-time cardiorespiratory motion prediction.B 0 $B_{0}$ -mapping was performed to assess geometric image fidelity in the presence of CIEDs. RESULTS CIEDs introduced banding artifacts partially obscuring cardiac structures in bSSFP acquisitions. In contrast, theT 1 ${\rm T}_{1}$ -GRE was more robust to CIED-induced artifacts at the expense of a lower signal-to-noise ratio. In presence of an ICD, image-based cardiorespiratory motion estimation was possible for 85% (100%) of the volunteers using the bSSFP (T 1 ${\rm T}_{1}$ -GRE) sequence. The in-plane 2D root-mean-squared deviation (RMSD) range between GDC-derived landmarks and manual annotations using the bSSFP (T1-GRE) sequence was 3.1-3.3 (3.3-4.1) mm without ICD and 4.6-4.6 (3.2-3.3) mm with ICD. Without ICD, the RMSD between the GP-predictions and GDC-derived landmarks ranged between 0.9 and 2.2 mm (1.3-3.0 mm) for the bSSFP (T1-GRE) sequence. With ICD, the RMSD between the GP-predictions and GDC-derived landmarks ranged between 1.3 and 2.2 mm (1.2-3.2 mm) using the bSSFP (T1-GRE) sequence resulting in an RMSD-increase of 42%-143% (bSSFP) and -61%-142% (T1-GRE). Lead-induced spatial distortions ranged between -0.2 and 0.2 mm (-0.7-1.2 mm) using the bSSFP (T 1 ${\rm T}_{1}$ -GRE) sequence. The 98th percentile range of the spatial distortions in the gross target volume of the patient was between 0.0 and 0.4 mm (0.0-1.8 mm) when using bSSFP (T 1 ${\rm T}_{1}$ -GRE). CONCLUSIONS Tailored bSSFP andT 1 ${\rm T}_{1}$ -GRE sequences can facilitate real-time cardiorespiratory estimation using GP trained with GDC-derived landmarks in the majority of landmark locations in the LV despite the presence of CIEDs. The need for high temporal resolution noticeably reduced achievable spatial resolution of the cine MRIs. However, the effect of the CIED-induced artifacts is device, patient and sequence dependent and requires specific assessment per case.
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Affiliation(s)
- Osman Akdag
- Department of Radiotherapy, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Stefano Mandija
- Department of Radiotherapy, University Medical Center Utrecht, Utrecht, The Netherlands
- Computational Imaging Group for MR Diagnostics and Therapy, Center for Image Sciences, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Pim T S Borman
- Department of Radiotherapy, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Paris Tzitzimpasis
- Department of Radiotherapy, University Medical Center Utrecht, Utrecht, The Netherlands
| | | | - Rick Keesman
- Department of Radiotherapy, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Bas W Raaymakers
- Department of Radiotherapy, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Martin F Fast
- Department of Radiotherapy, University Medical Center Utrecht, Utrecht, The Netherlands
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Gunasekaran S, Szava-Kovats A, Battey T, Gross J, Picano E, Raman SV, Lee E, Bissell MM, Alasnag M, Campbell-Washburn AE, Hanneman K. Cardiovascular Imaging, Climate Change, and Environmental Sustainability. Radiol Cardiothorac Imaging 2024; 6:e240135. [PMID: 38900024 PMCID: PMC11211952 DOI: 10.1148/ryct.240135] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2024] [Revised: 05/03/2024] [Accepted: 05/31/2024] [Indexed: 06/21/2024]
Abstract
Environmental exposures including poor air quality and extreme temperatures are exacerbated by climate change and are associated with adverse cardiovascular outcomes. Concomitantly, the delivery of health care generates substantial atmospheric greenhouse gas (GHG) emissions contributing to the climate crisis. Therefore, cardiac imaging teams must be aware not only of the adverse cardiovascular health effects of climate change, but also the downstream environmental ramifications of cardiovascular imaging. The purpose of this review is to highlight the impact of climate change on cardiovascular health, discuss the environmental impact of cardiovascular imaging, and describe opportunities to improve environmental sustainability of cardiac MRI, cardiac CT, echocardiography, cardiac nuclear imaging, and invasive cardiovascular imaging. Overarching strategies to improve environmental sustainability in cardiovascular imaging include prioritizing imaging tests with lower GHG emissions when more than one test is appropriate, reducing low-value imaging, and turning equipment off when not in use. Modality-specific opportunities include focused MRI protocols and low-field-strength applications, iodine contrast media recycling programs in cardiac CT, judicious use of US-enhancing agents in echocardiography, improved radiopharmaceutical procurement and waste management in nuclear cardiology, and use of reusable supplies in interventional suites. Finally, future directions and research are highlighted, including life cycle assessments over the lifespan of cardiac imaging equipment and the impact of artificial intelligence tools. Keywords: Heart, Safety, Sustainability, Cardiovascular Imaging Supplemental material is available for this article. © RSNA, 2024.
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Affiliation(s)
- Suvai Gunasekaran
- From the Biomedical Imaging Research Institute, Cedars-Sinai Medical
Center, Los Angeles, Calif (S.G.); Department of Radiology, Feinberg School of
Medicine, Northwestern University, Chicago, Ill (S.G.); Department of Nuclear
Medicine, Peter Lougheed Hospital, Alberta Health Services, Calgary, Canada
(A.S.K.); Department of Radiology, University of Calgary, Calgary, Canada
(A.S.K.); Department of Radiology & Medical Imaging, University of
Virginia, Charlottesville, Va (T.B.); Department of Radiology, Texas
Children’s Hospital, Baylor School of Medicine, Houston, Tex (J.G.);
Division of Cardiology, University Clinical Center of Serbia, University of
Belgrade, Belgrade, Serbia (E.P.); OhioHealth, Columbus, Ohio (S.V.R.); Langley
Memorial Hospital, British Columbia, Canada (E.L.); Department of Biomedical
Imaging Science, University of Leeds, Leeds, United Kingdom (M.M.B.); Cardiac
Center, King Fahad Armed Forces Hospital, Jeddah, Saudi Arabia (M.A.);
Cardiovascular Branch, Division of Intramural Research, National Heart, Lung,
and Blood Institute, National Institutes of Health, Bethesda, Md (A.E.C.W.);
Joint Department of Medical Imaging, Peter Munk Cardiac Centre and Toronto
General Hospital Research Institute, University Medical Imaging Toronto,
University Health Network (UHN), 585 University Avenue, 1 PMB-298, Toronto, ON,
Canada M5G 2N2 (K.H.); and Department of Medical Imaging, University of Toronto,
Toronto, Canada (K.H.)
| | - Andrew Szava-Kovats
- From the Biomedical Imaging Research Institute, Cedars-Sinai Medical
Center, Los Angeles, Calif (S.G.); Department of Radiology, Feinberg School of
Medicine, Northwestern University, Chicago, Ill (S.G.); Department of Nuclear
Medicine, Peter Lougheed Hospital, Alberta Health Services, Calgary, Canada
(A.S.K.); Department of Radiology, University of Calgary, Calgary, Canada
(A.S.K.); Department of Radiology & Medical Imaging, University of
Virginia, Charlottesville, Va (T.B.); Department of Radiology, Texas
Children’s Hospital, Baylor School of Medicine, Houston, Tex (J.G.);
Division of Cardiology, University Clinical Center of Serbia, University of
Belgrade, Belgrade, Serbia (E.P.); OhioHealth, Columbus, Ohio (S.V.R.); Langley
Memorial Hospital, British Columbia, Canada (E.L.); Department of Biomedical
Imaging Science, University of Leeds, Leeds, United Kingdom (M.M.B.); Cardiac
Center, King Fahad Armed Forces Hospital, Jeddah, Saudi Arabia (M.A.);
Cardiovascular Branch, Division of Intramural Research, National Heart, Lung,
and Blood Institute, National Institutes of Health, Bethesda, Md (A.E.C.W.);
Joint Department of Medical Imaging, Peter Munk Cardiac Centre and Toronto
General Hospital Research Institute, University Medical Imaging Toronto,
University Health Network (UHN), 585 University Avenue, 1 PMB-298, Toronto, ON,
Canada M5G 2N2 (K.H.); and Department of Medical Imaging, University of Toronto,
Toronto, Canada (K.H.)
| | - Thomas Battey
- From the Biomedical Imaging Research Institute, Cedars-Sinai Medical
Center, Los Angeles, Calif (S.G.); Department of Radiology, Feinberg School of
Medicine, Northwestern University, Chicago, Ill (S.G.); Department of Nuclear
Medicine, Peter Lougheed Hospital, Alberta Health Services, Calgary, Canada
(A.S.K.); Department of Radiology, University of Calgary, Calgary, Canada
(A.S.K.); Department of Radiology & Medical Imaging, University of
Virginia, Charlottesville, Va (T.B.); Department of Radiology, Texas
Children’s Hospital, Baylor School of Medicine, Houston, Tex (J.G.);
Division of Cardiology, University Clinical Center of Serbia, University of
Belgrade, Belgrade, Serbia (E.P.); OhioHealth, Columbus, Ohio (S.V.R.); Langley
Memorial Hospital, British Columbia, Canada (E.L.); Department of Biomedical
Imaging Science, University of Leeds, Leeds, United Kingdom (M.M.B.); Cardiac
Center, King Fahad Armed Forces Hospital, Jeddah, Saudi Arabia (M.A.);
Cardiovascular Branch, Division of Intramural Research, National Heart, Lung,
and Blood Institute, National Institutes of Health, Bethesda, Md (A.E.C.W.);
Joint Department of Medical Imaging, Peter Munk Cardiac Centre and Toronto
General Hospital Research Institute, University Medical Imaging Toronto,
University Health Network (UHN), 585 University Avenue, 1 PMB-298, Toronto, ON,
Canada M5G 2N2 (K.H.); and Department of Medical Imaging, University of Toronto,
Toronto, Canada (K.H.)
| | - Jonathan Gross
- From the Biomedical Imaging Research Institute, Cedars-Sinai Medical
Center, Los Angeles, Calif (S.G.); Department of Radiology, Feinberg School of
Medicine, Northwestern University, Chicago, Ill (S.G.); Department of Nuclear
Medicine, Peter Lougheed Hospital, Alberta Health Services, Calgary, Canada
(A.S.K.); Department of Radiology, University of Calgary, Calgary, Canada
(A.S.K.); Department of Radiology & Medical Imaging, University of
Virginia, Charlottesville, Va (T.B.); Department of Radiology, Texas
Children’s Hospital, Baylor School of Medicine, Houston, Tex (J.G.);
Division of Cardiology, University Clinical Center of Serbia, University of
Belgrade, Belgrade, Serbia (E.P.); OhioHealth, Columbus, Ohio (S.V.R.); Langley
Memorial Hospital, British Columbia, Canada (E.L.); Department of Biomedical
Imaging Science, University of Leeds, Leeds, United Kingdom (M.M.B.); Cardiac
Center, King Fahad Armed Forces Hospital, Jeddah, Saudi Arabia (M.A.);
Cardiovascular Branch, Division of Intramural Research, National Heart, Lung,
and Blood Institute, National Institutes of Health, Bethesda, Md (A.E.C.W.);
Joint Department of Medical Imaging, Peter Munk Cardiac Centre and Toronto
General Hospital Research Institute, University Medical Imaging Toronto,
University Health Network (UHN), 585 University Avenue, 1 PMB-298, Toronto, ON,
Canada M5G 2N2 (K.H.); and Department of Medical Imaging, University of Toronto,
Toronto, Canada (K.H.)
| | - Eugenio Picano
- From the Biomedical Imaging Research Institute, Cedars-Sinai Medical
Center, Los Angeles, Calif (S.G.); Department of Radiology, Feinberg School of
Medicine, Northwestern University, Chicago, Ill (S.G.); Department of Nuclear
Medicine, Peter Lougheed Hospital, Alberta Health Services, Calgary, Canada
(A.S.K.); Department of Radiology, University of Calgary, Calgary, Canada
(A.S.K.); Department of Radiology & Medical Imaging, University of
Virginia, Charlottesville, Va (T.B.); Department of Radiology, Texas
Children’s Hospital, Baylor School of Medicine, Houston, Tex (J.G.);
Division of Cardiology, University Clinical Center of Serbia, University of
Belgrade, Belgrade, Serbia (E.P.); OhioHealth, Columbus, Ohio (S.V.R.); Langley
Memorial Hospital, British Columbia, Canada (E.L.); Department of Biomedical
Imaging Science, University of Leeds, Leeds, United Kingdom (M.M.B.); Cardiac
Center, King Fahad Armed Forces Hospital, Jeddah, Saudi Arabia (M.A.);
Cardiovascular Branch, Division of Intramural Research, National Heart, Lung,
and Blood Institute, National Institutes of Health, Bethesda, Md (A.E.C.W.);
Joint Department of Medical Imaging, Peter Munk Cardiac Centre and Toronto
General Hospital Research Institute, University Medical Imaging Toronto,
University Health Network (UHN), 585 University Avenue, 1 PMB-298, Toronto, ON,
Canada M5G 2N2 (K.H.); and Department of Medical Imaging, University of Toronto,
Toronto, Canada (K.H.)
| | - Subha V. Raman
- From the Biomedical Imaging Research Institute, Cedars-Sinai Medical
Center, Los Angeles, Calif (S.G.); Department of Radiology, Feinberg School of
Medicine, Northwestern University, Chicago, Ill (S.G.); Department of Nuclear
Medicine, Peter Lougheed Hospital, Alberta Health Services, Calgary, Canada
(A.S.K.); Department of Radiology, University of Calgary, Calgary, Canada
(A.S.K.); Department of Radiology & Medical Imaging, University of
Virginia, Charlottesville, Va (T.B.); Department of Radiology, Texas
Children’s Hospital, Baylor School of Medicine, Houston, Tex (J.G.);
Division of Cardiology, University Clinical Center of Serbia, University of
Belgrade, Belgrade, Serbia (E.P.); OhioHealth, Columbus, Ohio (S.V.R.); Langley
Memorial Hospital, British Columbia, Canada (E.L.); Department of Biomedical
Imaging Science, University of Leeds, Leeds, United Kingdom (M.M.B.); Cardiac
Center, King Fahad Armed Forces Hospital, Jeddah, Saudi Arabia (M.A.);
Cardiovascular Branch, Division of Intramural Research, National Heart, Lung,
and Blood Institute, National Institutes of Health, Bethesda, Md (A.E.C.W.);
Joint Department of Medical Imaging, Peter Munk Cardiac Centre and Toronto
General Hospital Research Institute, University Medical Imaging Toronto,
University Health Network (UHN), 585 University Avenue, 1 PMB-298, Toronto, ON,
Canada M5G 2N2 (K.H.); and Department of Medical Imaging, University of Toronto,
Toronto, Canada (K.H.)
| | - Emil Lee
- From the Biomedical Imaging Research Institute, Cedars-Sinai Medical
Center, Los Angeles, Calif (S.G.); Department of Radiology, Feinberg School of
Medicine, Northwestern University, Chicago, Ill (S.G.); Department of Nuclear
Medicine, Peter Lougheed Hospital, Alberta Health Services, Calgary, Canada
(A.S.K.); Department of Radiology, University of Calgary, Calgary, Canada
(A.S.K.); Department of Radiology & Medical Imaging, University of
Virginia, Charlottesville, Va (T.B.); Department of Radiology, Texas
Children’s Hospital, Baylor School of Medicine, Houston, Tex (J.G.);
Division of Cardiology, University Clinical Center of Serbia, University of
Belgrade, Belgrade, Serbia (E.P.); OhioHealth, Columbus, Ohio (S.V.R.); Langley
Memorial Hospital, British Columbia, Canada (E.L.); Department of Biomedical
Imaging Science, University of Leeds, Leeds, United Kingdom (M.M.B.); Cardiac
Center, King Fahad Armed Forces Hospital, Jeddah, Saudi Arabia (M.A.);
Cardiovascular Branch, Division of Intramural Research, National Heart, Lung,
and Blood Institute, National Institutes of Health, Bethesda, Md (A.E.C.W.);
Joint Department of Medical Imaging, Peter Munk Cardiac Centre and Toronto
General Hospital Research Institute, University Medical Imaging Toronto,
University Health Network (UHN), 585 University Avenue, 1 PMB-298, Toronto, ON,
Canada M5G 2N2 (K.H.); and Department of Medical Imaging, University of Toronto,
Toronto, Canada (K.H.)
| | - Malenka M. Bissell
- From the Biomedical Imaging Research Institute, Cedars-Sinai Medical
Center, Los Angeles, Calif (S.G.); Department of Radiology, Feinberg School of
Medicine, Northwestern University, Chicago, Ill (S.G.); Department of Nuclear
Medicine, Peter Lougheed Hospital, Alberta Health Services, Calgary, Canada
(A.S.K.); Department of Radiology, University of Calgary, Calgary, Canada
(A.S.K.); Department of Radiology & Medical Imaging, University of
Virginia, Charlottesville, Va (T.B.); Department of Radiology, Texas
Children’s Hospital, Baylor School of Medicine, Houston, Tex (J.G.);
Division of Cardiology, University Clinical Center of Serbia, University of
Belgrade, Belgrade, Serbia (E.P.); OhioHealth, Columbus, Ohio (S.V.R.); Langley
Memorial Hospital, British Columbia, Canada (E.L.); Department of Biomedical
Imaging Science, University of Leeds, Leeds, United Kingdom (M.M.B.); Cardiac
Center, King Fahad Armed Forces Hospital, Jeddah, Saudi Arabia (M.A.);
Cardiovascular Branch, Division of Intramural Research, National Heart, Lung,
and Blood Institute, National Institutes of Health, Bethesda, Md (A.E.C.W.);
Joint Department of Medical Imaging, Peter Munk Cardiac Centre and Toronto
General Hospital Research Institute, University Medical Imaging Toronto,
University Health Network (UHN), 585 University Avenue, 1 PMB-298, Toronto, ON,
Canada M5G 2N2 (K.H.); and Department of Medical Imaging, University of Toronto,
Toronto, Canada (K.H.)
| | - Mirvat Alasnag
- From the Biomedical Imaging Research Institute, Cedars-Sinai Medical
Center, Los Angeles, Calif (S.G.); Department of Radiology, Feinberg School of
Medicine, Northwestern University, Chicago, Ill (S.G.); Department of Nuclear
Medicine, Peter Lougheed Hospital, Alberta Health Services, Calgary, Canada
(A.S.K.); Department of Radiology, University of Calgary, Calgary, Canada
(A.S.K.); Department of Radiology & Medical Imaging, University of
Virginia, Charlottesville, Va (T.B.); Department of Radiology, Texas
Children’s Hospital, Baylor School of Medicine, Houston, Tex (J.G.);
Division of Cardiology, University Clinical Center of Serbia, University of
Belgrade, Belgrade, Serbia (E.P.); OhioHealth, Columbus, Ohio (S.V.R.); Langley
Memorial Hospital, British Columbia, Canada (E.L.); Department of Biomedical
Imaging Science, University of Leeds, Leeds, United Kingdom (M.M.B.); Cardiac
Center, King Fahad Armed Forces Hospital, Jeddah, Saudi Arabia (M.A.);
Cardiovascular Branch, Division of Intramural Research, National Heart, Lung,
and Blood Institute, National Institutes of Health, Bethesda, Md (A.E.C.W.);
Joint Department of Medical Imaging, Peter Munk Cardiac Centre and Toronto
General Hospital Research Institute, University Medical Imaging Toronto,
University Health Network (UHN), 585 University Avenue, 1 PMB-298, Toronto, ON,
Canada M5G 2N2 (K.H.); and Department of Medical Imaging, University of Toronto,
Toronto, Canada (K.H.)
| | - Adrienne E. Campbell-Washburn
- From the Biomedical Imaging Research Institute, Cedars-Sinai Medical
Center, Los Angeles, Calif (S.G.); Department of Radiology, Feinberg School of
Medicine, Northwestern University, Chicago, Ill (S.G.); Department of Nuclear
Medicine, Peter Lougheed Hospital, Alberta Health Services, Calgary, Canada
(A.S.K.); Department of Radiology, University of Calgary, Calgary, Canada
(A.S.K.); Department of Radiology & Medical Imaging, University of
Virginia, Charlottesville, Va (T.B.); Department of Radiology, Texas
Children’s Hospital, Baylor School of Medicine, Houston, Tex (J.G.);
Division of Cardiology, University Clinical Center of Serbia, University of
Belgrade, Belgrade, Serbia (E.P.); OhioHealth, Columbus, Ohio (S.V.R.); Langley
Memorial Hospital, British Columbia, Canada (E.L.); Department of Biomedical
Imaging Science, University of Leeds, Leeds, United Kingdom (M.M.B.); Cardiac
Center, King Fahad Armed Forces Hospital, Jeddah, Saudi Arabia (M.A.);
Cardiovascular Branch, Division of Intramural Research, National Heart, Lung,
and Blood Institute, National Institutes of Health, Bethesda, Md (A.E.C.W.);
Joint Department of Medical Imaging, Peter Munk Cardiac Centre and Toronto
General Hospital Research Institute, University Medical Imaging Toronto,
University Health Network (UHN), 585 University Avenue, 1 PMB-298, Toronto, ON,
Canada M5G 2N2 (K.H.); and Department of Medical Imaging, University of Toronto,
Toronto, Canada (K.H.)
| | - Kate Hanneman
- From the Biomedical Imaging Research Institute, Cedars-Sinai Medical
Center, Los Angeles, Calif (S.G.); Department of Radiology, Feinberg School of
Medicine, Northwestern University, Chicago, Ill (S.G.); Department of Nuclear
Medicine, Peter Lougheed Hospital, Alberta Health Services, Calgary, Canada
(A.S.K.); Department of Radiology, University of Calgary, Calgary, Canada
(A.S.K.); Department of Radiology & Medical Imaging, University of
Virginia, Charlottesville, Va (T.B.); Department of Radiology, Texas
Children’s Hospital, Baylor School of Medicine, Houston, Tex (J.G.);
Division of Cardiology, University Clinical Center of Serbia, University of
Belgrade, Belgrade, Serbia (E.P.); OhioHealth, Columbus, Ohio (S.V.R.); Langley
Memorial Hospital, British Columbia, Canada (E.L.); Department of Biomedical
Imaging Science, University of Leeds, Leeds, United Kingdom (M.M.B.); Cardiac
Center, King Fahad Armed Forces Hospital, Jeddah, Saudi Arabia (M.A.);
Cardiovascular Branch, Division of Intramural Research, National Heart, Lung,
and Blood Institute, National Institutes of Health, Bethesda, Md (A.E.C.W.);
Joint Department of Medical Imaging, Peter Munk Cardiac Centre and Toronto
General Hospital Research Institute, University Medical Imaging Toronto,
University Health Network (UHN), 585 University Avenue, 1 PMB-298, Toronto, ON,
Canada M5G 2N2 (K.H.); and Department of Medical Imaging, University of Toronto,
Toronto, Canada (K.H.)
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Weng J, Bhupathiraju SHV, Samant T, Dresner A, Wu J, Samant SS. Convolutional LSTM model for cine image prediction of abdominal motion. Phys Med Biol 2024; 69:085024. [PMID: 38518378 DOI: 10.1088/1361-6560/ad3722] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Accepted: 03/22/2024] [Indexed: 03/24/2024]
Abstract
Objective.In this study, we tackle the challenge of latency in magnetic resonance linear accelerator (MR-Linac) systems, which compromises target coverage accuracy in gated real-time radiotherapy. Our focus is on enhancing motion prediction precision in abdominal organs to address this issue. We developed a convolutional long short-term memory (convLSTM) model, utilizing 2D cine magnetic resonance (cine-MR) imaging for this purpose.Approach.Our model, featuring a sequence-to-one architecture with six input frames and one output frame, employs structural similarity index measure (SSIM) as loss function. Data was gathered from 17 cine-MRI datasets using the Philips Ingenia MR-sim system and an Elekta Unity MR-Linac equivalent sequence, focusing on regions of interest (ROIs) like the stomach, liver, pancreas, and kidney. The datasets varied in duration from 1 to 10 min.Main results.The study comprised three main phases: hyperparameter optimization, individual training, and transfer learning with or without fine-tuning. Hyperparameters were initially optimized to construct the most effective model. Then, the model was individually applied to each dataset to predict images four frames ahead (1.24-3.28 s). We evaluated the model's performance using metrics such as SSIM, normalized mean square error, normalized correlation coefficient, and peak signal-to-noise ratio, specifically for ROIs with target motion. The average SSIM values achieved were 0.54, 0.64, 0.77, and 0.66 for the stomach, liver, kidney, and pancreas, respectively. In the transfer learning phase with fine-tuning, the model showed improved SSIM values of 0.69 for the liver and 0.78 for the kidney, compared to 0.64 and 0.37 without fine-tuning.Significance. The study's significant contribution is demonstrating the convLSTM model's ability to accurately predict motion for multiple abdominal organs using a Unity-equivalent MR sequence. This advancement is key in mitigating latency issues in MR-Linac radiotherapy, potentially improving the precision and effectiveness of real-time treatment for abdominal cancers.
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Affiliation(s)
- J Weng
- Department of Radiation Oncology, University of Florida, Gainesville, FL, United States of America
| | - S H V Bhupathiraju
- Department of Computer and Information Science and Engineering, University of Florida, Gainesville, FL, United States of America
| | - T Samant
- Tera Insights, Gainesville, FL, United States of America
| | - A Dresner
- Philips Healthcare MR Oncology, Cleveland, OH, United States of America
| | - J Wu
- Department of Radiation Oncology, University of Florida, Gainesville, FL, United States of America
| | - S S Samant
- Department of Radiation Oncology, University of Florida, Gainesville, FL, United States of America
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Akdag O, Borman PTS, Mandija S, Woodhead PL, Uijtewaal P, Raaymakers BW, Fast MF. Experimental demonstration of real-time cardiac physiology-based radiotherapy gating for improved cardiac radioablation on an MR-linac. Med Phys 2024; 51:2354-2366. [PMID: 38477841 DOI: 10.1002/mp.17024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Revised: 02/09/2024] [Accepted: 02/23/2024] [Indexed: 03/14/2024] Open
Abstract
BACKGROUND Cardiac radioablation is a noninvasive stereotactic body radiation therapy (SBRT) technique to treat patients with refractory ventricular tachycardia (VT) by delivering a single high-dose fraction to the VT isthmus. Cardiorespiratory motion induces position uncertainties resulting in decreased dose conformality. Electocardiograms (ECG) are typically used during cardiac MRI (CMR) to acquire images in a predefined cardiac phase, thus mitigating cardiac motion during image acquisition. PURPOSE We demonstrate real-time cardiac physiology-based radiotherapy beam gating within a preset cardiac phase on an MR-linac. METHODS MR images were acquired in healthy volunteers (n = 5, mean age = 29.6 years, mean heart-rate (HR) = 56.2 bpm) on the 1.5 T Unity MR-linac (Elekta AB, Stockholm, Sweden) after obtaining written informed consent. The images were acquired using a single-slice balance steady-state free precession (bSSFP) sequence in the coronal or sagittal plane (TR/TE = 3/1.48 ms, flip angle = 48∘ $^{\circ }$ , SENSE = 1.5,field-of-view = 400 × 207 $\text{field-of-view} = {400}\times {207}$ mm 2 ${\text{mm}}^{2}$ , voxel size =3 × 3 × 15 $3\times 3\times 15$ mm 3 ${\rm mm}^{3}$ , partial Fourier factor = 0.65, frame rate = 13.3 Hz). In parallel, a 4-lead ECG-signal was acquired using MR-compatible equipment. The feasibility of ECG-based beam gating was demonstrated with a prototype gating workflow using a Quasar MRI4D motion phantom (IBA Quasar, London, ON, Canada), which was deployed in the bore of the MR-linac. Two volunteer-derived combined ECG-motion traces (n = 2, mean age = 26 years, mean HR = 57.4 bpm, peak-to-peak amplitude = 14.7 mm) were programmed into the phantom to mimic dose delivery on a cardiac target in breath-hold. Clinical ECG-equipment was connected to the phantom for ECG-voltage-streaming in real-time using research software. Treatment beam gating was performed in the quiescent phase (end-diastole). System latencies were compensated by delay time correction. A previously developed MRI-based gating workflow was used as a benchmark in this study. A 15-beam intensity-modulated radiotherapy (IMRT) plan (1 × 6.25 ${1}\times {6.25}$ Gy) was delivered for different motion scenarios onto radiochromic films. Next, cardiac motion was then estimated at the basal anterolateral myocardial wall via normalized cross-correlation-based template matching. The estimated motion signal was temporally aligned with the ECG-signal, which were then used for position- and ECG-based gating simulations in the cranial-caudal (CC), anterior-posterior (AP), and right-left (RL) directions. The effect of gating was investigated by analyzing the differences in residual motion at 30, 50, and 70% treatment beam duty cycles. RESULTS ECG-based (MRI-based) beam gating was performed with effective duty cycles of 60.5% (68.8%) and 47.7% (50.4%) with residual motion reductions of 62.5% (44.7%) and 43.9% (59.3%). Local gamma analyses (1%/1 mm) returned pass rates of 97.6% (94.1%) and 90.5% (98.3%) for gated scenarios, which exceed the pass rates of 70.3% and 82.0% for nongated scenarios, respectively. In average, the gating simulations returned maximum residual motion reductions of 88%, 74%, and 81% at 30%, 50%, and 70% duty cycles, respectively, in favor of MRI-based gating. CONCLUSIONS Real-time ECG-based beam gating is a feasible alternative to MRI-based gating, resulting in improved dose delivery in terms of highγ -pass $\gamma {\text{-pass}}$ rates, decreased dose deposition outside the PTV and residual motion reduction, while by-passing cardiac MRI challenges.
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Affiliation(s)
- Osman Akdag
- Department of Radiotherapy, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Pim T S Borman
- Department of Radiotherapy, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Stefano Mandija
- Department of Radiotherapy, University Medical Center Utrecht, Utrecht, The Netherlands
- Computational Imaging Group for MR Diagnostics and Therapy, Center for Image Sciences, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Peter L Woodhead
- Department of Radiotherapy, University Medical Center Utrecht, Utrecht, The Netherlands
- Elekta AB, Stockholm, Sweden
| | - Prescilla Uijtewaal
- Department of Radiotherapy, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Bas W Raaymakers
- Department of Radiotherapy, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Martin F Fast
- Department of Radiotherapy, University Medical Center Utrecht, Utrecht, The Netherlands
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Poon J, Thompson RB, Deyell MW, Schellenberg D, Kohli K, Thomas S. Left ventricle segment-specific motion assessment for cardiac-gated radiosurgery. Biomed Phys Eng Express 2024; 10:025040. [PMID: 38359447 DOI: 10.1088/2057-1976/ad29a4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Accepted: 02/15/2024] [Indexed: 02/17/2024]
Abstract
Purpose.Cardiac radiosurgery is a non-invasive treatment modality for ventricular tachycardia, where a linear accelerator is used to irradiate the arrhythmogenic region within the heart. In this work, cardiac magnetic resonance (CMR) cine images were used to quantify left ventricle (LV) segment-specific motion during the cardiac cycle and to assess potential advantages of cardiac-gated radiosurgery.Methods.CMR breath-hold cine images and LV contour points were analyzed for 50 controls and 50 heart failure patients with reduced ejection fraction (HFrEF, EF < 40%). Contour points were divided into anatomic segments according to the 17-segment model, and each segment was treated as a hypothetical treatment target. The optimum treatment window (one fifth of the cardiac cycle) was determined where segment centroid motion was minimal, then the maximum centroid displacement and treatment area were determined for the full cardiac cycle and for the treatment window. Mean centroid displacement and treatment area reductions with cardiac gating were determined for each of the 17 segments.Results.Full motion segment centroid displacements ranged between 6-14 mm (controls) and 4-11 mm (HFrEF). Full motion treatment areas ranged between 129-715 mm2(controls) and 149-766 mm2(HFrEF). With gating, centroid displacements were reduced to 1 mm (controls and HFrEF), while treatment areas were reduced to 62-349 mm2(controls) and 83-393 mm2(HFrEF). Relative treatment area reduction ranged between 38%-53% (controls) and 26%-48% (HFrEF).Conclusion.This data demonstrates that cardiac cycle motion is an important component of overall target motion and varies depending on the anatomic cardiac segment. Accounting for cardiac cycle motion, through cardiac gating, has the potential to significantly reduce treatment volumes for cardiac radiosurgery.
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Affiliation(s)
- Justin Poon
- Department of Physics and Astronomy, University of British Columbia, Vancouver, BC V6T 1Z1, Canada
- Department of Medical Physics, BC Cancer, Vancouver, British Columbia V5Z 4E6, Canada
| | - Richard B Thompson
- Department of Biomedical Engineering, University of Alberta, Edmonton, AB, T6G 2V2, Canada
| | - Marc W Deyell
- Heart Rhythm Services, Division of Cardiology, University of British Columbia, Vancouver, BC V6E 1M7, Canada
| | - Devin Schellenberg
- Department of Radiation Oncology, BC Cancer, Surrey, British Columbia V3V 1Z2, Canada
| | - Kirpal Kohli
- Department of Medical Physics, BC Cancer, Surrey, British Columbia V3V 1Z2, Canada
| | - Steven Thomas
- Department of Medical Physics, BC Cancer, Vancouver, British Columbia V5Z 4E6, Canada
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Stevens RRF, Hazelaar C, Bogowicz M, Ter Bekke RMA, Volders PGA, Verhoeven K, de Ruysscher D, Verhoeff JJC, Fast MF, Mandija S, Cvek J, Knybel L, Dvorak P, Blanck O, van Elmpt W. A Framework for Assessing the Effect of Cardiac and Respiratory Motion for Stereotactic Arrhythmia Radioablation Using a Digital Phantom With a 17-Segment Model: A STOPSTORM.eu Consortium Study. Int J Radiat Oncol Biol Phys 2024; 118:533-542. [PMID: 37652302 DOI: 10.1016/j.ijrobp.2023.08.059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Revised: 08/14/2023] [Accepted: 08/22/2023] [Indexed: 09/02/2023]
Abstract
PURPOSE The optimal motion management strategy for patients receiving stereotactic arrhythmia radioablation (STAR) for the treatment of ventricular tachycardia (VT) is not fully known. We developed a framework using a digital phantom to simulate cardiorespiratory motion in combination with different motion management strategies to gain insight into the effect of cardiorespiratory motion on STAR. METHODS AND MATERIALS The 4-dimensional (4D) extended cardiac-torso (XCAT) phantom was expanded with the 17-segment left ventricular (LV) model, which allowed placement of STAR targets in standardized ventricular regions. Cardiac- and respiratory-binned 4D computed tomography (CT) scans were simulated for free-breathing, reduced free-breathing, respiratory-gating, and breath-hold scenarios. Respiratory motion of the heart was set to population-averaged values of patients with VT: 6, 2, and 1 mm in the superior-inferior, posterior-anterior, and left-right direction, respectively. Cardiac contraction was adjusted by reducing LV ejection fraction to 35%. Target displacement was evaluated for all segments using envelopes encompassing the cardiorespiratory motion. Envelopes incorporating only the diastole plus respiratory motion were created to simulate the scenario where cardiac motion is not fully captured on 4D respiratory CT scans used for radiation therapy planning. RESULTS The average volume of the 17 segments was 6 cm3 (1-9 cm3). Cardiac contraction-relaxation resulted in maximum segment (centroid) motion of 4, 6, and 3.5 mm in the superior-inferior, posterior-anterior, and left-right direction, respectively. Cardiac contraction-relaxation resulted in a motion envelope increase of 49% (24%-79%) compared with individual segment volumes, whereas envelopes increased by 126% (79%-167%) if respiratory motion also was considered. Envelopes incorporating only the diastole and respiration motion covered on average 68% to 75% of the motion envelope. CONCLUSIONS The developed LV-segmental XCAT framework showed that free-wall regions display the most cardiorespiratory displacement. Our framework supports the optimization of STAR by evaluating the effect of (cardio)respiratory motion and motion management strategies for patients with VT.
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Affiliation(s)
- Raoul R F Stevens
- Department of Radiation Oncology (Maastro), GROW School for Oncology and Reproduction, Maastricht University Medical Center+, Maastricht, The Netherlands.
| | - Colien Hazelaar
- Department of Radiation Oncology (Maastro), GROW School for Oncology and Reproduction, Maastricht University Medical Center+, Maastricht, The Netherlands
| | - Marta Bogowicz
- Department of Radiation Oncology (Maastro), GROW School for Oncology and Reproduction, Maastricht University Medical Center+, Maastricht, The Netherlands
| | - Rachel M A Ter Bekke
- Department of Cardiology, Cardiovascular Research Institute Maastricht, Maastricht University Medical Center+, Maastricht, The Netherlands
| | - Paul G A Volders
- Department of Cardiology, Cardiovascular Research Institute Maastricht, Maastricht University Medical Center+, Maastricht, The Netherlands
| | - Karolien Verhoeven
- Department of Radiation Oncology (Maastro), GROW School for Oncology and Reproduction, Maastricht University Medical Center+, Maastricht, The Netherlands
| | - Dirk de Ruysscher
- Department of Radiation Oncology (Maastro), GROW School for Oncology and Reproduction, Maastricht University Medical Center+, Maastricht, The Netherlands
| | - Joost J C Verhoeff
- Department of Radiotherapy, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Martin F Fast
- Department of Radiotherapy, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Stefano Mandija
- Department of Radiotherapy, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Jakub Cvek
- Department of Oncology, University Hospital and Faculty of Medicine, Ostrava, Czech Republic
| | - Lukas Knybel
- Department of Oncology, University Hospital and Faculty of Medicine, Ostrava, Czech Republic
| | - Pavel Dvorak
- Department of Oncology, University Hospital and Faculty of Medicine, Ostrava, Czech Republic
| | - Oliver Blanck
- Department of Radiation Oncology, University Medical Center Schleswig-Holstein, Kiel, Germany
| | - Wouter van Elmpt
- Department of Radiation Oncology (Maastro), GROW School for Oncology and Reproduction, Maastricht University Medical Center+, Maastricht, The Netherlands
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Campbell-Washburn AE, Varghese J, Nayak KS, Ramasawmy R, Simonetti OP. Cardiac MRI at Low Field Strengths. J Magn Reson Imaging 2024; 59:412-430. [PMID: 37530545 PMCID: PMC10834858 DOI: 10.1002/jmri.28890] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Revised: 06/16/2023] [Accepted: 06/16/2023] [Indexed: 08/03/2023] Open
Abstract
Cardiac MR imaging is well established for assessment of cardiovascular structure and function, myocardial scar, quantitative flow, parametric mapping, and myocardial perfusion. Despite the clear evidence supporting the use of cardiac MRI for a wide range of indications, it is underutilized clinically. Recent developments in low-field MRI technology, including modern data acquisition and image reconstruction methods, are enabling high-quality low-field imaging that may improve the cost-benefit ratio for cardiac MRI. Studies to-date confirm that low-field MRI offers high measurement concordance and consistent interpretation with clinical imaging for several routine sequences. Moreover, low-field MRI may enable specific new clinical opportunities for cardiac imaging such as imaging near metal implants, MRI-guided interventions, combined cardiopulmonary assessment, and imaging of patients with severe obesity. In this review, we discuss the recent progress in low-field cardiac MRI with a focus on technical developments and early clinical validation studies. EVIDENCE LEVEL: 5 TECHNICAL EFFICACY: Stage 1.
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Affiliation(s)
- Adrienne E Campbell-Washburn
- Cardiovascular Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda MD USA
| | - Juliet Varghese
- Department of Biomedical Engineering, The Ohio State University, Columbus, OH, USA
| | - Krishna S Nayak
- Ming Hsieh Department of Electrical and Computer Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, California, USA
- Alfred Mann Department of Biomedical Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, California, USA
| | - Rajiv Ramasawmy
- Cardiovascular Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda MD USA
| | - Orlando P Simonetti
- Division of Cardiovascular Medicine, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH, USA
- Department of Radiology, The Ohio State University, Columbus, Ohio, USA
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Fast MF, Cao M, Parikh P, Sonke JJ. Intrafraction Motion Management With MR-Guided Radiation Therapy. Semin Radiat Oncol 2024; 34:92-106. [PMID: 38105098 DOI: 10.1016/j.semradonc.2023.10.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2023]
Abstract
High quality radiation therapy requires highly accurate and precise dose delivery. MR-guided radiotherapy (MRgRT), integrating an MRI scanner with a linear accelerator, offers excellent quality images in the treatment room without subjecting patient to ionizing radiation. MRgRT therefore provides a powerful tool for intrafraction motion management. This paper summarizes different sources of intrafraction motion for different disease sites and describes the MR imaging techniques available to visualize and quantify intrafraction motion. It provides an overview of MR guided motion management strategies and of the current technical capabilities of the commercially available MRgRT systems. It describes how these motion management capabilities are currently being used in clinical studies, protocols and provides a future outlook.
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Affiliation(s)
- Martin F Fast
- Department of Radiotherapy, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Minsong Cao
- Department of Radiation Oncology, University of California, Los Angeles, CA
| | - Parag Parikh
- Department of Radiation Oncology, Henry Ford Health - Cancer, Detroit, MI
| | - Jan-Jakob Sonke
- Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
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Frick S, Schneider M, Kapsch RP, Thorwarth D. Experimental characterization of four ionization chamber types in magnetic fields including intra-type variation. Phys Imaging Radiat Oncol 2024; 29:100561. [PMID: 38463218 PMCID: PMC10924196 DOI: 10.1016/j.phro.2024.100561] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Revised: 02/16/2024] [Accepted: 02/20/2024] [Indexed: 03/12/2024] Open
Abstract
Background and purpose For dosimetry in magnetic resonance (MR) guided radiotherapy, assessing the magnetic field correction factors of air-vented ionization chambers is crucial. Novel MR-optimized chambers reduce MR-imaging artefacts, enhancing their quality assurance utility. This study aimed to characterize two new MR-optimized ionization chambers with sensitive volumes of 0.07 and 0.016 cm3 regarding magnetic field correction factors and intra-type variation and compare them to their conventional counterparts. Material and methods Five chambers of each type were evaluated in a water phantom, using a clinical linear accelerator and an electromagnet, as well as a 1.5 T MR-linac system. The magnetic field correction factor k B → , Q , addressing the change of response caused by a magnetic field, was assessed together with its intra-type variation. MR-optimized and conventional chambers were compared using a Mann-Whitney U-Test. Results Considering 1.5 T and a perpendicular chamber orientation, we observed significant differences in the magnetic field-induced change in chamber reading between the two 0.016 cm3 chamber versions (p = 0.03). For a 7 MV beam, MR-optimized chambers (0.016/0.07 cm3) showed k B → , Q values of 1.0426(66) and 1.0463(44), compared to 1.0319(53) and 1.0480(41) of their conventional counterparts. In anti-parallel orientation, k B → , Q was 1.0012(69) and 0.9863(49) for the MR-optimized chambers. The average intra-type variation of k B → , Q over all chamber types was 0.3%. Conclusion Magnetic field correction factors were successfully determined for four ionization chamber types, including two new MR-optimized versions, allowing their use in MR-linac absolute dosimetry. Evaluation of the intra-type variation enabled the assessment of their contribution to the uncertainty of tabulated k B → , Q .
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Affiliation(s)
- Stephan Frick
- Physikalisch-Technische Bundesanstalt, Braunschweig, Germany
| | - Moritz Schneider
- Section for Biomedical Physics, Department of Radiation Oncology, University Hospital Tübingen, Tübingen, Germany
| | | | - Daniela Thorwarth
- Section for Biomedical Physics, Department of Radiation Oncology, University Hospital Tübingen, Tübingen, Germany
- German Cancer Consortium (DKTK), Partner site Tübingen, A Partnership between DKFZ and University Hospital Tübingen, Germany
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SHIRATO H. Biomedical advances and future prospects of high-precision three-dimensional radiotherapy and four-dimensional radiotherapy. PROCEEDINGS OF THE JAPAN ACADEMY. SERIES B, PHYSICAL AND BIOLOGICAL SCIENCES 2023; 99:389-426. [PMID: 37821390 PMCID: PMC10749389 DOI: 10.2183/pjab.99.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Accepted: 09/13/2023] [Indexed: 10/13/2023]
Abstract
Biomedical advances of external-beam radiotherapy (EBRT) with improvements in physical accuracy are reviewed. High-precision (±1 mm) three-dimensional radiotherapy (3DRT) can utilize respective therapeutic open doors in the tumor control probability curve and in the normal tissue complication probability curve instead of the one single therapeutic window in two-dimensional EBRT. High-precision 3DRT achieved higher tumor control and probable survival rates for patients with small peripheral lung and liver cancers. Four-dimensional radiotherapy (4DRT), which can reduce uncertainties in 3DRT due to organ motion by real-time (every 0.1-1 s) tumor-tracking and immediate (0.1-1 s) irradiation, have achieved reduced adverse effects for prostate and pancreatic tumors near the digestive tract and with similar or better tumor control. Particle beam therapy improved tumor control and probable survival for patients with large liver tumors. The clinical outcomes of locally advanced or multiple tumors located near serial-type organs can theoretically be improved further by integrating the 4DRT concept with particle beams.
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Affiliation(s)
- Hiroki SHIRATO
- Global Center for Biomedical Science and Engineering, Faculty of Medicine, Hokkaido University, Sapporo, Hokkaido, Japan
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11
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Stevens RRF, Hazelaar C, Fast MF, Mandija S, Grehn M, Cvek J, Knybel L, Dvorak P, Pruvot E, Verhoeff JJC, Blanck O, van Elmpt W. Stereotactic Arrhythmia Radioablation (STAR): Assessment of cardiac and respiratory heart motion in ventricular tachycardia patients - A STOPSTORM.eu consortium review. Radiother Oncol 2023; 188:109844. [PMID: 37543057 DOI: 10.1016/j.radonc.2023.109844] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 07/10/2023] [Accepted: 07/28/2023] [Indexed: 08/07/2023]
Abstract
AIM To identify the optimal STereotactic Arrhythmia Radioablation (STAR) strategy for individual patients, cardiorespiratory motion of the target volume in combination with different treatment methodologies needs to be evaluated. However, an authoritative overview of the amount of cardiorespiratory motion in ventricular tachycardia (VT) patients is missing. METHODS In this STOPSTORM consortium study, we performed a literature review to gain insight into cardiorespiratory motion of target volumes for STAR. Motion data and target volumes were extracted and summarized. RESULTS Out of the 232 studies screened, 56 provided data on cardiorespiratory motion, of which 8 provided motion amplitudes in VT patients (n = 94) and 10 described (cardiac/cardiorespiratory) internal target volumes (ITVs) obtained in VT patients (n = 59). Average cardiac motion of target volumes was < 5 mm in all directions, with maximum values of 8.0, 5.2 and 6.5 mm in Superior-Inferior (SI), Left-Right (LR), Anterior-Posterior (AP) direction, respectively. Cardiorespiratory motion of cardiac (sub)structures showed average motion between 5-8 mm in the SI direction, whereas, LR and AP motions were comparable to the cardiac motion of the target volumes. Cardiorespiratory ITVs were on average 120-284% of the gross target volume. Healthy subjects showed average cardiorespiratory motion of 10-17 mm in SI and 2.4-7 mm in the AP direction. CONCLUSION This review suggests that despite growing numbers of patients being treated, detailed data on cardiorespiratory motion for STAR is still limited. Moreover, data comparison between studies is difficult due to inconsistency in parameters reported. Cardiorespiratory motion is highly patient-specific even under motion-compensation techniques. Therefore, individual motion management strategies during imaging, planning, and treatment for STAR are highly recommended.
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Affiliation(s)
- Raoul R F Stevens
- Department of Radiation Oncology (Maastro), GROW School for Oncology and Reproduction, Maastricht University Medical Centre+, Maastricht, the Netherlands.
| | - Colien Hazelaar
- Department of Radiation Oncology (Maastro), GROW School for Oncology and Reproduction, Maastricht University Medical Centre+, Maastricht, the Netherlands
| | - Martin F Fast
- Department of Radiotherapy, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Stefano Mandija
- Department of Radiotherapy, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Melanie Grehn
- Department of Radiation Oncology, University Medical Center Schleswig-Holstein, Kiel, Germany
| | - Jakub Cvek
- Department of Oncology, University Hospital and Faculty of Medicine, Ostrava, Czech Republic
| | - Lukas Knybel
- Department of Oncology, University Hospital and Faculty of Medicine, Ostrava, Czech Republic
| | - Pavel Dvorak
- Department of Oncology, University Hospital and Faculty of Medicine, Ostrava, Czech Republic
| | - Etienne Pruvot
- Heart and Vessel Department, Service of Cardiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Joost J C Verhoeff
- Department of Radiotherapy, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Oliver Blanck
- Department of Radiation Oncology, University Medical Center Schleswig-Holstein, Kiel, Germany
| | - Wouter van Elmpt
- Department of Radiation Oncology (Maastro), GROW School for Oncology and Reproduction, Maastricht University Medical Centre+, Maastricht, the Netherlands
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Fast MF, Lydiard S, Boda-Heggemann J, Tanadini-Lang S, Muren LP, Clark CH, Blanck O. Precision requirements in stereotactic arrhythmia radioablation for ventricular tachycardia. Phys Imaging Radiat Oncol 2023; 28:100508. [PMID: 38026083 PMCID: PMC10679852 DOI: 10.1016/j.phro.2023.100508] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2023] Open
Affiliation(s)
- Martin F Fast
- Department of Radiotherapy, University Medical Center Utrecht, Utrecht, the Netherlands
| | | | - Judit Boda-Heggemann
- Department of Radiation Oncology, University Medicine Mannheim, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- DKFZ Hector Cancer Institute at the University Medical Center Mannheim, Germany
| | - Stephanie Tanadini-Lang
- Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Switzerland
| | - Ludvig P Muren
- Danish Centre for Particle Therapy, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Catharine H Clark
- Radiotherapy Physics, University College London Hospital, 250 Euston Rd, London NW1 2PG, UK
- Department of Medical Physics and Bioengineering, University College London, Malet Place, London WC1E 6BT, UK
- Medical Physics Dept, National Physical Laboratory, Hampton Rd, London TW11 0PX, UK
| | - Oliver Blanck
- Department of Radiation Oncology, University Medical Center Schleswig-Holstein, Arnold-Heller-Strasse 3, Kiel 24105, Germany
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Schottstaedt AM, Paulson ES, Rubenstein JC, Chen X, Omari EA, Li XA, Schultz CJ, Puckett LL, Robinson CG, Alongi F, Gore EM, Hall WA. Development of a comprehensive cardiac atlas on a 1.5 Tesla Magnetic Resonance Linear Accelerator. Phys Imaging Radiat Oncol 2023; 28:100504. [PMID: 38035207 PMCID: PMC10682663 DOI: 10.1016/j.phro.2023.100504] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Revised: 10/18/2023] [Accepted: 10/30/2023] [Indexed: 12/02/2023] Open
Abstract
Background and purpose The 1.5 Tesla (T) Magnetic Resonance Linear Accelerator (MRL) provides an innovative modality for improved cardiac imaging when planning radiation treatment. No MRL based cardiac atlases currently exist, thus, we sought to comprehensively characterize cardiac substructures, including the conduction system, from cardiac images acquired using a 1.5 T MRL and provide contouring guidelines. Materials and methods Five volunteers were enrolled in a prospective protocol (NCT03500081) and were imaged on the 1.5 T MRL with Half Fourier Single-Shot Turbo Spin-Echo (HASTE) and 3D Balanced Steady-State Free Precession (bSSFP) sequences in axial, short axis, and vertical long axis. Cardiac anatomy was contoured by (AS) and confirmed by a board certified cardiologist (JR) with expertise in cardiac MR imaging. Results A total of five volunteers had images acquired with the HASTE sequence, with 21 contours created on each image. One of these volunteers had additional images obtained with 3D bSSFP sequences in the axial plane and additional images obtained with HASTE sequences in the key cardiac planes. Contouring guidelines were created and outlined. 15-16 contours were made for the short axis and vertical long axis. The cardiac conduction system was demonstrated with eleven representative contours. There was reasonable variation of contour volume across volunteers, with structures more clearly delineated on the 3D bSSFP sequence. Conclusions We present a comprehensive cardiac atlas using novel images acquired prospectively on a 1.5 T MRL. This cardiac atlas provides a novel resource for radiation oncologists in delineating cardiac structures for treatment with radiotherapy, with special focus on the cardiac conduction system.
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Affiliation(s)
- Aronne M. Schottstaedt
- Medical College of Wisconsin, Department of Radiation Oncology, Milwaukee, WI, United States
| | - Eric S. Paulson
- Medical College of Wisconsin, Department of Radiation Oncology, Milwaukee, WI, United States
- Medical College of Wisconsin, Department of Radiology, Milwaukee, WI, United States
| | - Jason C. Rubenstein
- Medical College of Wisconsin, Department of Radiology, Milwaukee, WI, United States
- Medical College of Wisconsin, Department of Cardiology, Milwaukee, WI, United States
| | - Xinfeng Chen
- Medical College of Wisconsin, Department of Radiation Oncology, Milwaukee, WI, United States
| | - Eenas A. Omari
- Medical College of Wisconsin, Department of Radiation Oncology, Milwaukee, WI, United States
| | - X Allen Li
- Medical College of Wisconsin, Department of Radiation Oncology, Milwaukee, WI, United States
| | - Chris J. Schultz
- Medical College of Wisconsin, Department of Radiation Oncology, Milwaukee, WI, United States
| | - Lindsay L. Puckett
- Medical College of Wisconsin, Department of Radiation Oncology, Milwaukee, WI, United States
| | - Clifford G. Robinson
- Washington University, Department of Radiation Oncology, St. Louis, MO, United States
| | - Filippo Alongi
- IRCCS Sacro Cuore Don Calabria Hospital, Department of Radiation Oncology, Negrar-Verona, Italy & University of Brescia, Faculty of Medicine, Brescia, Italy
| | - Elizabeth M. Gore
- Medical College of Wisconsin, Department of Radiation Oncology, Milwaukee, WI, United States
| | - William A. Hall
- Medical College of Wisconsin, Department of Radiation Oncology, Milwaukee, WI, United States
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14
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Ladbury C, Amini A, Schwer A, Liu A, Williams T, Lee P. Clinical Applications of Magnetic Resonance-Guided Radiotherapy: A Narrative Review. Cancers (Basel) 2023; 15:cancers15112916. [PMID: 37296879 DOI: 10.3390/cancers15112916] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Revised: 05/20/2023] [Accepted: 05/23/2023] [Indexed: 06/12/2023] Open
Abstract
Magnetic resonance-guided radiotherapy (MRgRT) represents a promising new image guidance technology for radiation treatment delivery combining an onboard MRI scanner with radiation delivery technology. By enabling real-time low-field or high-field MRI acquisition, it facilitates improved soft tissue delineation, adaptive treatment, and motion management. Now that MRgRT has been available for nearly a decade, research has shown the technology can be used to effectively shrink treatment margins to either decrease toxicity (in breast, prostate cancer, and pancreatic cancer) or facilitate dose-escalation and improved oncologic outcomes (in pancreatic and liver cancer), as well as enabling indications that require clear soft tissue delineation and gating (lung and cardiac ablation). In doing so, the use of MRgRT has the potential to significantly improve the outcomes and quality of life of the patients it treats. The present narrative review aims to describe the rationale for MRgRT, the current and forthcoming state of technology, existing studies, and future directions for the advancement of MRgRT, including associated challenges.
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Affiliation(s)
- Colton Ladbury
- Department of Radiation Oncology, City of Hope National Medical Center, Duarte, CA 91010, USA
| | - Arya Amini
- Department of Radiation Oncology, City of Hope National Medical Center, Duarte, CA 91010, USA
| | - Amanda Schwer
- Department of Radiation Oncology, City of Hope Orange County Lennar Foundation Cancer Center, Irvine, CA 92618, USA
| | - An Liu
- Department of Radiation Oncology, City of Hope National Medical Center, Duarte, CA 91010, USA
| | - Terence Williams
- Department of Radiation Oncology, City of Hope National Medical Center, Duarte, CA 91010, USA
| | - Percy Lee
- Department of Radiation Oncology, City of Hope Orange County Lennar Foundation Cancer Center, Irvine, CA 92618, USA
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15
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Grehn M, Mandija S, Miszczyk M, Krug D, Tomasik B, Stickney KE, Alcantara P, Alongi F, Anselmino M, Aranda RS, Balgobind BV, Boda-Heggemann J, Boldt LH, Bottoni N, Cvek J, Elicin O, De Ferrari GM, Hassink RJ, Hazelaar C, Hindricks G, Hurkmans C, Iotti C, Jadczyk T, Jiravsky O, Jumeau R, Kristiansen SB, Levis M, López MA, Martí-Almor J, Mehrhof F, Møller DS, Molon G, Ouss A, Peichl P, Plasek J, Postema PG, Quesada A, Reichlin T, Rordorf R, Rudic B, Saguner AM, ter Bekke RMA, Torrecilla JL, Troost EGC, Vitolo V, Andratschke N, Zeppenfeld K, Blamek S, Fast M, de Panfilis L, Blanck O, Pruvot E, Verhoeff JJC. STereotactic Arrhythmia Radioablation (STAR): the Standardized Treatment and Outcome Platform for Stereotactic Therapy Of Re-entrant tachycardia by a Multidisciplinary consortium (STOPSTORM.eu) and review of current patterns of STAR practice in Europe. Europace 2023; 25:1284-1295. [PMID: 36879464 PMCID: PMC10105846 DOI: 10.1093/europace/euac238] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Accepted: 11/18/2022] [Indexed: 03/08/2023] Open
Abstract
The EU Horizon 2020 Framework-funded Standardized Treatment and Outcome Platform for Stereotactic Therapy Of Re-entrant tachycardia by a Multidisciplinary (STOPSTORM) consortium has been established as a large research network for investigating STereotactic Arrhythmia Radioablation (STAR) for ventricular tachycardia (VT). The aim is to provide a pooled treatment database to evaluate patterns of practice and outcomes of STAR and finally to harmonize STAR within Europe. The consortium comprises 31 clinical and research institutions. The project is divided into nine work packages (WPs): (i) observational cohort; (ii) standardization and harmonization of target delineation; (iii) harmonized prospective cohort; (iv) quality assurance (QA); (v) analysis and evaluation; (vi, ix) ethics and regulations; and (vii, viii) project coordination and dissemination. To provide a review of current clinical STAR practice in Europe, a comprehensive questionnaire was performed at project start. The STOPSTORM Institutions' experience in VT catheter ablation (83% ≥ 20 ann.) and stereotactic body radiotherapy (59% > 200 ann.) was adequate, and 84 STAR treatments were performed until project launch, while 8/22 centres already recruited VT patients in national clinical trials. The majority currently base their target definition on mapping during VT (96%) and/or pace mapping (75%), reduced voltage areas (63%), or late ventricular potentials (75%) during sinus rhythm. The majority currently apply a single-fraction dose of 25 Gy while planning techniques and dose prescription methods vary greatly. The current clinical STAR practice in the STOPSTORM consortium highlights potential areas of optimization and harmonization for substrate mapping, target delineation, motion management, dosimetry, and QA, which will be addressed in the various WPs.
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Affiliation(s)
- Melanie Grehn
- Department of Radiation Oncology, University Medical Center Schleswig-Holstein, Arnold-Heller-Strasse 3, Kiel 24105, Germany
| | - Stefano Mandija
- Department of Radiotherapy, University Medical Center Utrecht, Heidelberglaan 100, Utrecht 3584 CX, The Netherlands
| | - Marcin Miszczyk
- IIIrd Radiotherapy and Chemotherapy Department, Maria Skłodowska-Curie National Research Institute of Oncology, Ul. Wybrzeze Armii Krajowej, Gliwice 44102, Poland
| | - David Krug
- Department of Radiation Oncology, University Medical Center Schleswig-Holstein, Arnold-Heller-Strasse 3, Kiel 24105, Germany
| | - Bartłomiej Tomasik
- Department of Radiotherapy, Maria Skłodowska-Curie National Research Institute of Oncology, Ul. Wybrzeze Armii Krajowej, Gliwice 44102, Poland
- Department of Oncology and Radiotherapy, Faculty of Medicine, Medical University of Gdansk, M. Sklodowskiel-Curie 3a, Gdansk 80210, Poland
| | - Kristine E Stickney
- Research Support Office, University Medical Center Utrecht, Heidelberglaan 100, Utrecht 3584 CX, The Netherlands
| | - Pino Alcantara
- Department of Radiation Oncology, Hospital Clínico San Carlos, Faculty of Medicine, University Complutense of Madrid, Profesor Martin Lagos, Madrid 28040, Spain
| | - Filippo Alongi
- Department of Advanced Radiation Oncology, IRCCS Sacro Cuore Don Calabria Hospital, University of Brescia, Via San Zeno in Monte 23, Verona 37129, Italy
| | - Matteo Anselmino
- Division of Cardiology, Cardiovascular and Thoracic Department, ‘Città della Salute e della Scienza’ Hospital, Via Giuseppe Verdi 8, Torino 10124, Italy
- Department of Medical Sciences, University of Turin, Via Verdi 8, Torino 10124, Italy
| | - Ricardo Salgado Aranda
- Electrophysiology Unit, Department of Cardiology, Hospital Clínico San Carlos Madrid, Professor Martin Lagos, Madrid 28040, Spain
| | - Brian V Balgobind
- Department of Radiation Oncology, Amsterdam UMC, University of Amsterdam, Meibergdreef 15, Amsterdam 1105AZ, The Netherlands
| | - Judit Boda-Heggemann
- Department of Radiation Oncology, University Medical Center Mannheim, Medical Faculty Mannheim, University of Heidelberg, Theodor-Kutzer-Ufer 1-3, Mannheim 68167, Germany
| | - Leif-Hendrik Boldt
- Department of Rhythmology, Charité—University Medicine Berlin, Charitéplatz 1, 10117 Berlin, Germany
| | - Nicola Bottoni
- Cardiology Arrhythmology Center, AUSL-IRCCS di Reggio Emilia, Via Amendola 2, Reggio Emilia 42100, Italy
| | - Jakub Cvek
- Department of Oncology, University Hospital and Faculty of Medicine, Listopadu 1790, Ostrava Poruba 70852, Czech Republic
| | - Olgun Elicin
- Department of Radiation Oncology, Inselspital, Bern University Hospital, University of Bern, Freiburgstrasse 18, Bern 3010, Switzerland
| | - Gaetano Maria De Ferrari
- Division of Cardiology, Cardiovascular and Thoracic Department, ‘Città della Salute e della Scienza’ Hospital, Via Giuseppe Verdi 8, Torino 10124, Italy
| | - Rutger J Hassink
- Department of Cardiology, Division of Heart and Lungs, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, Utrecht 3584 CX, The Netherlands
| | - Colien Hazelaar
- Department of Radiation Oncology (Maastro), GROW School for Oncology and Reproduction, Maastricht University Medical Centre+, P. Debyelaan 25, Maastricht 6229 HX, The Netherlands
| | - Gerhard Hindricks
- Department of Electrophysiology, Heart Center Leipzig, University of Leipzig, Struempellstrasse 39, Leipzig 04289, Germany
| | - Coen Hurkmans
- Department of Radiation Oncology, Catharina Hospital, Michelangelolaan 2, Eindhoven 5623 EJ, The Netherlands
| | - Cinzia Iotti
- Radiation Oncology Unit, Clinical Cancer Centre, AUSL-IRCCS di Reggio Emilia, Via Amendola 2, Reggio Emilia 42100, Italy
| | - Tomasz Jadczyk
- Division of Cardiology and Structural Heart Diseases, Medical University of Silesia, Ul. Poniatowskiego 15, Katowice 40055, Poland
- Interventional Cardiac Electrophysiology Group, International Clinical Research Center, St. Anne’s University Hospital Brno, Brno, Czech Republic
| | - Otakar Jiravsky
- Cardiocenter, Hospital Agel Trinec Podlesi and Masaryk University, Konska 453, Trinec 73961, Czech Republic
| | - Raphaël Jumeau
- Department of Radio-Oncology, Lausanne University Hospital, Rue du Bugnon 21, Lausanne 1011, Switzerland
| | - Steen Buus Kristiansen
- Department of Cardiology, Aarhus University Hospital, Palle Juul-Jensens Boulevard 99, Aarhus 8200, Denmark
| | - Mario Levis
- Department of Oncology, University of Torino, Via Giuseppe Verdi 8, Torino 10124, Italy
| | - Manuel Algara López
- Department of Radiation Oncology, Hospital del Mar, Universitat Pompeu Fabra, Institut Hospital del Mar d'Investigacions Mèdiques, Paseo Maritim 25-29, Barcelona 08003, Spain
| | - Julio Martí-Almor
- Department of Cardiology, Hospital del Mar, Universitat Pompeu Fabra, Institut Hospital del Mar d'Investigacions Mèdiques, Paseo Maritim 25-29, Barcelona 08003, Spain
| | - Felix Mehrhof
- Department for Radiation Oncology, Charité—Universitätsmedizin Berlin, Charitéplatz 1, 10117 Berlin, Germany
| | - Ditte Sloth Møller
- Department of Oncology, Aarhus University Hospital, Palle Juul-Jensens Boulevard 99, Aarhus 8200, Denmark
| | - Giulio Molon
- Department of Cardiology, IRCCS Sacro Cuore Don Calabria Hospital, Via San Zeno in Monte 23, Verona 37129, Italy
| | - Alexandre Ouss
- Department of Cardiology, Catharina Hospital, Michelangelolaan 2, Eindhoven 5623 EJ, The Netherlands
| | - Petr Peichl
- Department of Cardiology, Institute for Clinical and Experimental Medicine, Videnska 9, Prague 14000, Czech Republic
| | - Jiri Plasek
- Department of Cardiovascular Medicine, University Hospital Ostrava, Listopadu 1790. Ostrava Poruba 70852, Czech Republic
| | - Pieter G Postema
- Department of Cardiology, Amsterdam UMC, University of Amsterdam, Meibergdreef 15, Amsterdam 1105AZ, The Netherlands
| | - Aurelio Quesada
- Arrhythmia Unit, Department of Cardiology, Consorcio Hospital General Universitario de Valencia, Av Tres Cruces 2, Valencia 46014, Spain
| | - Tobias Reichlin
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Freiburgstrasse 18, Bern 3010, Switzerland
| | - Roberto Rordorf
- Cardiac Intensive Care Unit, Arrhythmia and Electrophysiology and Experimental Cardiology, Fondazione IRCCS Policlinico San Matteo, Camillo Golgi Avenue 5, Pavia 27100, Italy
| | - Boris Rudic
- Department of Medicine I, University Medical Center Mannheim, Medical Faculty Mannheim, University of Heidelberg, Theodor-Kutzer-Ufer 1-3, Mannheim 68167, Germany
| | - Ardan M Saguner
- Arrhythmia Unit, Department of Cardiology, University Hospital Zurich, Ramistrasse 71, Zurich 8006, Switzerland
| | - Rachel M A ter Bekke
- Department of Cardiology, Maastricht University Medical Center, P. Debyelaan 25, Maastricht 6229 HX, The Netherlands
| | - José López Torrecilla
- Department of Radiation Oncology, Hospital General Valencia, Av Tres Cruces 2, Valencia 46014, Spain
| | - Esther G C Troost
- Department of Radiotherapy and Radiation Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Fetscherstraße 74, Dresden 01307, Germany
- OncoRay—National Center for Radiation Research in Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus. Technische Universität Dresden, Helmholtz-Zentrum Dresden-Rossendorf, Fetscherstrasse 74, Dresden 01307, Germany
- Institute of Radiooncology - OncoRay, Helmholtz-Zentrum Dresden-Rossendorf, Bautzner Landstr. 400, Dresden 01328, Germany
| | - Viviana Vitolo
- National Center of Oncological Hadrontherapy (Fondazione CNAO), Strada Campeggi 53, Pavia PV27100, Italy
| | - Nicolaus Andratschke
- Department of Radiation Oncology, University Hospital of Zurich, Ramistrasse 71, Zurich 8006, Switzerland
| | - Katja Zeppenfeld
- Unit of Clinical Electrophysiology, Leiden University Medical Center, Albinusdreef 2, Leiden 2333 ZA, The Netherlands
| | - Slawomir Blamek
- Department of Radiotherapy, Maria Skłodowska-Curie National Research Institute of Oncology, Ul. Wybrzeze Armii Krajowej, Gliwice 44102, Poland
| | - Martin Fast
- Department of Radiotherapy, University Medical Center Utrecht, Heidelberglaan 100, Utrecht 3584 CX, The Netherlands
| | - Ludovica de Panfilis
- Bioethics Unit, Azienda Unità Sanitaria Locale—IRCCS, Via Amendola 2, Reggio Emilia 42100, Italy
| | - Oliver Blanck
- Department of Radiation Oncology, University Medical Center Schleswig-Holstein, Arnold-Heller-Strasse 3, Kiel 24105, Germany
| | - Etienne Pruvot
- Heart and Vessel Department, Service of Cardiology, Lausanne University Hospital and University of Lausanne, Rue du Bugnon 21, Lausanne 1011, Switzerland
| | - Joost J C Verhoeff
- Department of Radiotherapy, University Medical Center Utrecht, Heidelberglaan 100, Utrecht 3584 CX, The Netherlands
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Chuong MD, Palm RF, Tjong MC, Hyer DE, Kishan AU. Advances in MRI-Guided Radiation Therapy. Surg Oncol Clin N Am 2023; 32:599-615. [PMID: 37182995 DOI: 10.1016/j.soc.2023.02.008] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/07/2023]
Abstract
Image guidance for radiation therapy (RT) has evolved over the last few decades and now is routinely performed using cone-beam computerized tomography (CBCT). Conventional linear accelerators (LINACs) that use CBCT have limited soft tissue contrast, are not able to image the patient's internal anatomy during treatment delivery, and most are not capable of online adaptive replanning. RT delivery systems that use MRI have become available within the last several years and address many of the imaging limitations of conventional LINACs. Herein, the authors review the technical characteristics and advantages of MRI-guided RT as well as emerging clinical outcomes.
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Affiliation(s)
- Michael D Chuong
- Department of Radiation Oncology, Miami Cancer Institute, 8900 North Kendall Drive, Miami, FL 33176, USA.
| | - Russell F Palm
- Department of Radiation Oncology, Moffitt Cancer Center, 12902 USF Magnolia Drive, Tampa, FL 33612, USA
| | - Michael C Tjong
- Department of Radiation Oncology, Dana-Farber Cancer Institute, 450 Brookline Avenue, Boston, MA 02215, USA
| | - Daniel E Hyer
- Department of Radiation Oncology, University of Iowa, 200 Hawkins Dr, Iowa City, IA 52242, USA
| | - Amar U Kishan
- Department of Radiation Oncology, University of California Los Angeles, 1338 S Hope Street, Los Angeles, CA 90015, USA
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17
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Uijtewaal P, Côté B, Foppen T, de Vries W, Woodings S, Borman P, Lambert-Girard S, Therriault-Proulx F, Raaymakers B, Fast M. Performance of the HYPERSCINT scintillation dosimetry research platform for the 1.5 T MR-linac. Phys Med Biol 2023; 68. [PMID: 36638536 DOI: 10.1088/1361-6560/acb30c] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Accepted: 01/13/2023] [Indexed: 01/15/2023]
Abstract
Objective.Adaptive radiotherapy techniques available on the MR-linac, such as daily plan adaptation, gating, and dynamic tracking, require versatile dosimetric detectors to validate end-to-end workflows. Plastic scintillator detectors (PSDs) offer great potential with features including: water equivalency, MRI-compatibility, and time-resolved dose measurements. Here, we characterize the performance of the HYPERSCINT RP-200 PSD (MedScint, Quebec, CA) in a 1.5 T MR-linac, and we demonstrate its suitability for dosimetry, including in a moving target.Approach.Standard techniques of detector testing were performed using a Beamscan water tank (PTW, Freiburg, DE) and compared to microDiamond (PTW, Freiburg, DE) readings. Orientation dependency was tested using the same phantom. An RW3 solid water phantom was used to evaluate detector consistency, dose linearity, and dose rate dependence. To determine the sensitivity to motion and to MRI scanning, the Quasar MRI4Dphantom (Modus, London, ON) was used statically or with sinusoidal motion (A= 10 mm,T= 4 s) to compare PSD and Semiflex ionization chamber (PTW, Freiburg, DE) readings. Conformal beams from gantry 0° and 90° were used as well as a 15-beam 8 × 7.5 Gy lung IMRT plan.Main results.Measured profiles, PDD curves and field-size dependence were consistent with the microDiamond readings with differences well within our clinical tolerances. The angular dependence gave variations up to 0.8% when not irradiating directly from behind the scintillation point. Experiments revealed excellent detector consistency between repeated measurements (SD = 0.06%), near-perfect dose linearity (R2= 1) and a dose rate dependence <0.3%. Dosimetric effects of MRI scanning (≤0.3%) and motion (≤1.3%) were minimal. Measurements were consistent with the Semiflex (differences ≤1%), and with the treatment planning system with differences of 0.8% and 0.4%, with and without motion.Significance.This study demonstrates the suitability of the HYPERSCINT PSD for accurate time-resolved dosimetry measurements in the 1.5 T MR-linac, including during MR scanning and target motion.
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Affiliation(s)
- Prescilla Uijtewaal
- Department of Radiotherapy, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands
| | - Benjamin Côté
- MedScint, 1405 Bd du Parc Technologique, Québec, QC G1P 4P5, Canada
| | - Thomas Foppen
- Department of Radiotherapy, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands
| | - Wilfred de Vries
- Department of Radiotherapy, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands
| | - Simon Woodings
- Department of Radiotherapy, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands
| | - Pim Borman
- Department of Radiotherapy, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands
| | | | | | - Bas Raaymakers
- Department of Radiotherapy, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands
| | - Martin Fast
- Department of Radiotherapy, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands
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18
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Zhang Y, Cao Y, Kashani R, Lawrence TS, Balter JM. Real-time prediction of stomach motions based upon gastric contraction and breathing models. Phys Med Biol 2022; 68:10.1088/1361-6560/ac9660. [PMID: 36174550 PMCID: PMC10324478 DOI: 10.1088/1361-6560/ac9660] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Accepted: 09/29/2022] [Indexed: 11/12/2022]
Abstract
Objective.Precision radiation therapy requires managing motions of organs at risk that occur during treatment. While methods have been developed for real-time respiratory motion tracking, non-breathing intra-fractional variations (including gastric contractile motion) have seen little attention to date. The purpose of this study is to develop a cyclic gastric contractile motion prediction model to support real-time management during radiotherapy.Approach. The observed short-term reproducibility of gastric contractile motion permitted development of a prediction model that (1) extracts gastric contraction motion phases from few minutes of golden angle stack of stars scanning (at patient positioning), (2) estimate gastric phase of real-time sampled data acquired during treatment delivery to these reconstructed phases and (3) predicting future gastric phase by linear extrapolation using estimation results from step 2 to account for processing and system latency times. Model was evaluated on three parameters including training time window for step 1, number of spokes for real-time sampling data in step 2 and future prediction time. Mainresults. The model was tested on a population of 20 min data samples from 25 scans from 15 patients. The mean prediction error with 10 spokes and 2 min training was 0.3 ± 0.1 mm (0.1-0.7 mm) with 5.1 s future time, slowly rising to 0.6 ± 0.2 mm (0.2-1.1 mm) for 6.8 s future time and then increasing rapidly for longer forward predictions, for an average 3.6 ± 0.5 mm (2.8-4.7 mm) HD95 of gastric motion. Results showed that reducing of train time window (5-2 min) does not influence the prediction performance, while using 5 spokes increased prediction errors.Significance. The proposed gastric motion prediction model has sufficiently accurate prediction performance to allow for sub-millimeter accuracy while allowing sufficient time for data processing and machine interaction and shows the potential for clinical implementation to support stomach motion tracking during radiotherapy.
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Affiliation(s)
- Yuhang Zhang
- Department of Radiation Oncology, University of Michigan, United States of America
- Department of Biomedical Engineering, University of Michigan, United States of America
| | - Yue Cao
- Department of Radiation Oncology, University of Michigan, United States of America
- Department of Biomedical Engineering, University of Michigan, United States of America
- Department of Radiology, University of Michigan, United States of America
| | - Rojano Kashani
- Department of Radiation Oncology, University Hospitals Seidman Cancer Center, United States of America
| | - Theodore S Lawrence
- Department of Radiation Oncology, University of Michigan, United States of America
| | - James M Balter
- Department of Radiation Oncology, University of Michigan, United States of America
- Department of Biomedical Engineering, University of Michigan, United States of America
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Nardone V, D’Ippolito E, Grassi R, Sangiovanni A, Gagliardi F, De Marco G, Menditti VS, D’Ambrosio L, Cioce F, Boldrini L, Salvestrini V, Greco C, Desideri I, De Felice F, D’Onofrio I, Grassi R, Reginelli A, Cappabianca S. Non-Oncological Radiotherapy: A Review of Modern Approaches. J Pers Med 2022; 12:1677. [PMID: 36294816 PMCID: PMC9605240 DOI: 10.3390/jpm12101677] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Revised: 10/04/2022] [Accepted: 10/06/2022] [Indexed: 11/05/2022] Open
Abstract
Despite being usually delivered in oncological patients, radiotherapy can be used as a successful treatment for several non-malignant disorders. Even though this use of radiotherapy has been scarcely investigated since the 1950s, more recent interest has actually shed the light on this approach. Thus, the aim of this narrative review is to analyze the applications of non-oncological radiotherapy in different disorders. Key references were derived from a PubMed query. Hand searching and clinicaltrials.gov were also used. This review contains a narrative report and a critical discussion of non-oncological radiotherapy approaches. In conclusion, non-oncological radiotherapy is a safe and efficacious approach to treat several disorders that needs to be further investigated and used in clinical practice.
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Affiliation(s)
- Valerio Nardone
- Department of Precision Medicine, University of Campania “L. Vanvitelli”, 80138 Naples, Italy
| | - Emma D’Ippolito
- Department of Precision Medicine, University of Campania “L. Vanvitelli”, 80138 Naples, Italy
| | - Roberta Grassi
- Department of Precision Medicine, University of Campania “L. Vanvitelli”, 80138 Naples, Italy
| | - Angelo Sangiovanni
- Department of Precision Medicine, University of Campania “L. Vanvitelli”, 80138 Naples, Italy
| | - Federico Gagliardi
- Department of Precision Medicine, University of Campania “L. Vanvitelli”, 80138 Naples, Italy
| | - Giuseppina De Marco
- Department of Precision Medicine, University of Campania “L. Vanvitelli”, 80138 Naples, Italy
| | | | - Luca D’Ambrosio
- Department of Precision Medicine, University of Campania “L. Vanvitelli”, 80138 Naples, Italy
| | - Fabrizio Cioce
- Department of Precision Medicine, University of Campania “L. Vanvitelli”, 80138 Naples, Italy
| | - Luca Boldrini
- Radiation Oncology, Fondazione Policlinico Universitario A. Gemelli, IRCCS, Largo Agostino Gemelli, 00168 Rome, Italy
| | - Viola Salvestrini
- Radiation Oncology, Azienda Ospedaliero-Universitaria Careggi, Department of Experimental and Clinical Biomedical Sciences, University of Florence, 50134 Florence, Italy
| | - Carlo Greco
- Department of Radiation Oncology, Università Campus Bio-Medico di Roma, Fondazione Policlinico Universitario Campus Bio-Medico, Via Alvaro del Portillo, 00128 Rome, Italy
| | - Isacco Desideri
- Radiation Oncology, Azienda Ospedaliero-Universitaria Careggi, Department of Experimental and Clinical Biomedical Sciences, University of Florence, 50134 Florence, Italy
| | - Francesca De Felice
- Radiation Oncology, Policlinico Umberto I “Sapienza” University of Rome, Viale Regina Elena 326, 00161 Rome, Italy
| | - Ida D’Onofrio
- Radiation Oncology, Ospedale del Mare, ASL Napoli 1 Centro, 80147 Naples, Italy
| | - Roberto Grassi
- Department of Precision Medicine, University of Campania “L. Vanvitelli”, 80138 Naples, Italy
| | - Alfonso Reginelli
- Department of Precision Medicine, University of Campania “L. Vanvitelli”, 80138 Naples, Italy
| | - Salvatore Cappabianca
- Department of Precision Medicine, University of Campania “L. Vanvitelli”, 80138 Naples, Italy
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Levis M, Dusi V, Magnano M, Cerrato M, Gallio E, Depaoli A, Ferraris F, De Ferrari GM, Ricardi U, Anselmino M. A case report of long-term successful stereotactic arrhythmia radioablation in a cardiac contractility modulation device carrier with giant left atrium, including a detailed dosimetric analysis. Front Cardiovasc Med 2022; 9:934686. [PMID: 36072883 PMCID: PMC9441661 DOI: 10.3389/fcvm.2022.934686] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2022] [Accepted: 07/25/2022] [Indexed: 12/25/2022] Open
Abstract
Introduction Catheter ablation (CA) is the current standard of care for patients suffering drug-refractory monomorphic ventricular tachycardias (MMVTs). Yet, despite significant technological improvements, recurrences remain common, leading to increased morbidity and mortality. Stereotactic arrhythmia radioablation (STAR) is increasingly being adopted to overcome the limitations of conventional CA, but its safety and efficacy are still under evaluation. Case presentation We hereby present the case of a 73-year-old patient implanted with a mitral valve prosthesis, a cardiac resynchronization therapy-defibrillator, and a cardiac contractility modulation device, who was successfully treated with STAR for recurrent drug and CA-resistant MMVT in the setting of advanced heart failure and a giant left atrium. We report a 2-year follow-up and a detailed dosimetric analysis. Conclusion Our case report supports the early as well as the long-term efficacy of 25 Gy single-session STAR. Despite the concomitant severe heart failure, with an overall heart minus planned target volume mean dosage below 5 Gy, no major detrimental cardiac side effects were detected. To the best of our knowledge, our dosimetric analysis is the most accurate reported so far in the setting of STAR, particularly for what concerns cardiac substructures and coronary arteries. A shared dosimetric planning among centers performing STAR will be crucial in the next future to fully disclose its safety profile.
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Affiliation(s)
- Mario Levis
- Department of Oncology, University of Turin, Turin, Italy
| | - Veronica Dusi
- Division of Cardiology, Department of Medical Sciences, Città della Salute e della Scienza Hospital, University of Turin, Turin, Italy
| | - Massimo Magnano
- Division of Cardiology, Department of Medical Sciences, Città della Salute e della Scienza Hospital, University of Turin, Turin, Italy
| | - Marzia Cerrato
- Department of Oncology, University of Turin, Turin, Italy
| | - Elena Gallio
- Medical Physics Unit, Città della Salute e della Scienza Hospital, Turin, Italy
| | - Alessandro Depaoli
- Department of Radiology, Città della Salute e della Scienza Hospital, Turin, Italy
| | - Federico Ferraris
- Division of Cardiology, Department of Medical Sciences, Città della Salute e della Scienza Hospital, University of Turin, Turin, Italy
| | - Gaetano Maria De Ferrari
- Division of Cardiology, Department of Medical Sciences, Città della Salute e della Scienza Hospital, University of Turin, Turin, Italy
- *Correspondence: Gaetano Maria De Ferrari
| | | | - Matteo Anselmino
- Division of Cardiology, Department of Medical Sciences, Città della Salute e della Scienza Hospital, University of Turin, Turin, Italy
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Shangguan W, Xu G, Wang X, Zhang N, Liu X, Li G, Tse G, Liu T. Stereotactic Radiotherapy: An Alternative Option for Refractory Ventricular Tachycardia to Drug and Ablation Therapy. J Clin Med 2022; 11:jcm11123549. [PMID: 35743614 PMCID: PMC9225049 DOI: 10.3390/jcm11123549] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Revised: 06/01/2022] [Accepted: 06/15/2022] [Indexed: 11/16/2022] Open
Abstract
Refractory ventricular tachycardia (VT) often occurs in the context of organic heart disease. It is associated with significantly high mortality and morbidity rates. Antiarrhythmic drugs and catheter ablation represent the two main treatment options for refractory VT, but their use can be associated with inadequate therapeutic responses and procedure-related complications. Stereotactic body radiotherapy (SBRT) is extensively applied in the precision treatment of solid tumors, with excellent therapeutic responses. Recently, this highly precise technology has been applied for radioablation of VT, and its early results demonstrate a favorable safety profile. This review presents the potential value of SBRT in refractory VT.
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Affiliation(s)
- Wenfeng Shangguan
- Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, Tianjin 300211, China; (W.S.); (G.X.); (X.W.); (N.Z.); (G.L.)
| | - Gang Xu
- Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, Tianjin 300211, China; (W.S.); (G.X.); (X.W.); (N.Z.); (G.L.)
| | - Xin Wang
- Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, Tianjin 300211, China; (W.S.); (G.X.); (X.W.); (N.Z.); (G.L.)
| | - Nan Zhang
- Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, Tianjin 300211, China; (W.S.); (G.X.); (X.W.); (N.Z.); (G.L.)
| | - Xingpeng Liu
- Department of Heart Center, Beijing Chaoyang Hospital, Capital Medical University, 8th Gongtinanlu Rd., Chaoyang District, Beijing 100020, China;
| | - Guangping Li
- Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, Tianjin 300211, China; (W.S.); (G.X.); (X.W.); (N.Z.); (G.L.)
| | - Gary Tse
- Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, Tianjin 300211, China; (W.S.); (G.X.); (X.W.); (N.Z.); (G.L.)
- Faculty of Health and Medical Sciences, University of Surrey, Guildford GU2 7XH, UK
- Kent and Medway Medical School, Canterbury CT2 7FS, UK
- Correspondence: (G.T.); (T.L.)
| | - Tong Liu
- Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, Tianjin 300211, China; (W.S.); (G.X.); (X.W.); (N.Z.); (G.L.)
- Correspondence: (G.T.); (T.L.)
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