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Bigaj-Józefowska MJ, Zalewski T, Załęski K, Coy E, Frankowski M, Mrówczyński R, Grześkowiak BF. Three musketeers of PDA-based MRI contrasting and therapy. ARTIFICIAL CELLS, NANOMEDICINE, AND BIOTECHNOLOGY 2024; 52:321-333. [PMID: 38795050 DOI: 10.1080/21691401.2024.2356773] [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: 03/04/2024] [Accepted: 05/13/2024] [Indexed: 05/27/2024]
Abstract
Polydopamine (PDA) stands as a versatile material explored in cancer nanomedicine for its unique properties, offering opportunities for multifunctional drug delivery platforms. This study explores the potential of utilizing a one-pot synthesis to concurrently integrate Fe, Gd and Mn ions into porous PDA-based theranostic drug delivery platforms called Ferritis, Gadolinis and Manganis, respectively. Our investigation spans the morphology, magnetic properties, photothermal characteristics and cytotoxicity profiles of those potent nanoformulations. The obtained structures showcase a spherical morphology, robust magnetic response and promising photothermal behaviour. All of the presented nanoparticles (NPs) display pronounced paramagnetism, revealing contrasting potential for MRI imaging. Relaxivity values, a key determinant of contrast efficacy, demonstrated competitive or superior performance compared to established, used contrasting agents. These nanoformulations also exhibited robust photothermal properties under near infra-red irradiation, showcasing their possible application for photothermal therapy of cancer. Our findings provide insights into the potential of metal-doped PDA NPs for cancer theranostics.
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Affiliation(s)
| | - Tomasz Zalewski
- NanoBioMedical Centre, Adam Mickiewicz University in Poznań, Poznań, Poland
| | - Karol Załęski
- NanoBioMedical Centre, Adam Mickiewicz University in Poznań, Poznań, Poland
| | - Emerson Coy
- NanoBioMedical Centre, Adam Mickiewicz University in Poznań, Poznań, Poland
| | - Marcin Frankowski
- Faculty of Chemistry, Adam Mickiewicz University in Poznań, Poznań, Poland
| | - Radosław Mrówczyński
- Faculty of Chemistry, Adam Mickiewicz University in Poznań, Poznań, Poland
- Centre for Advanced Technologies, Adam Mickiewicz University in Poznań, Poznań, Poland
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2
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García-Figueiras R, Baleato-González S, Luna A, Padhani AR, Vilanova JC, Carballo-Castro AM, Oleaga-Zufiria L, Vallejo-Casas JA, Marhuenda A, Gómez-Caamaño A. How Imaging Advances Are Defining the Future of Precision Radiation Therapy. Radiographics 2024; 44:e230152. [PMID: 38206833 DOI: 10.1148/rg.230152] [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: 01/13/2024]
Abstract
Radiation therapy is fundamental in the treatment of cancer. Imaging has always played a central role in radiation oncology. Integrating imaging technology into irradiation devices has increased the precision and accuracy of dose delivery and decreased the toxic effects of the treatment. Although CT has become the standard imaging modality in radiation therapy, the development of recently introduced next-generation imaging techniques has improved diagnostic and therapeutic decision making in radiation oncology. Functional and molecular imaging techniques, as well as other advanced imaging modalities such as SPECT, yield information about the anatomic and biologic characteristics of tumors for the radiation therapy workflow. In clinical practice, they can be useful for characterizing tumor phenotypes, delineating volumes, planning treatment, determining patients' prognoses, predicting toxic effects, assessing responses to therapy, and detecting tumor relapse. Next-generation imaging can enable personalization of radiation therapy based on a greater understanding of tumor biologic factors. It can be used to map tumor characteristics, such as metabolic pathways, vascularity, cellular proliferation, and hypoxia, that are known to define tumor phenotype. It can also be used to consider tumor heterogeneity by highlighting areas at risk for radiation resistance for focused biologic dose escalation, which can impact the radiation planning process and patient outcomes. The authors review the possible contributions of next-generation imaging to the treatment of patients undergoing radiation therapy. In addition, the possible roles of radio(geno)mics in radiation therapy, the limitations of these techniques, and hurdles in introducing them into clinical practice are discussed. ©RSNA, 2024 Test Your Knowledge questions for this article are available in the supplemental material.
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Affiliation(s)
- Roberto García-Figueiras
- From the Department of Radiology, Division of Oncologic Imaging (R.G.F., S.B.G.), and Department of Radiation Oncology (A.M.C.C., A.G.C.), Hospital Clínico Universitario de Santiago de Compostela, Choupana s/n, 15706 Santiago de Compostela, Spain; Department of Advanced Medical Imaging, Grupo Health Time, Sercosa (Servicio Radiologia Computerizada, Clínica Las Nieves, Jaén, Spain (A.L.); Paul Strickland Scanner Centre, Mount Vernon Cancer Centre, Northwood, Middlesex, England (A.R.P.); Department of Radiology, Clínica Girona and Hospital Santa Caterina, Girona, Spain (J.C.V.); Department of Radiology, Hospital Clínic Barcelona, Barcelona, Spain (L.O.Z.); Unidad de Gestión Clínica de Medicina Nuclear, Instituto Maimónides de Investigación Biomédica de Córdoba, Hospital Universitario Reina Sofía, Córdoba, Spain (J.A.V.C.); and Department of Radiology, Instituto Valenciano de Oncología, Valencia, Spain (A.M.)
| | - Sandra Baleato-González
- From the Department of Radiology, Division of Oncologic Imaging (R.G.F., S.B.G.), and Department of Radiation Oncology (A.M.C.C., A.G.C.), Hospital Clínico Universitario de Santiago de Compostela, Choupana s/n, 15706 Santiago de Compostela, Spain; Department of Advanced Medical Imaging, Grupo Health Time, Sercosa (Servicio Radiologia Computerizada, Clínica Las Nieves, Jaén, Spain (A.L.); Paul Strickland Scanner Centre, Mount Vernon Cancer Centre, Northwood, Middlesex, England (A.R.P.); Department of Radiology, Clínica Girona and Hospital Santa Caterina, Girona, Spain (J.C.V.); Department of Radiology, Hospital Clínic Barcelona, Barcelona, Spain (L.O.Z.); Unidad de Gestión Clínica de Medicina Nuclear, Instituto Maimónides de Investigación Biomédica de Córdoba, Hospital Universitario Reina Sofía, Córdoba, Spain (J.A.V.C.); and Department of Radiology, Instituto Valenciano de Oncología, Valencia, Spain (A.M.)
| | - Antonio Luna
- From the Department of Radiology, Division of Oncologic Imaging (R.G.F., S.B.G.), and Department of Radiation Oncology (A.M.C.C., A.G.C.), Hospital Clínico Universitario de Santiago de Compostela, Choupana s/n, 15706 Santiago de Compostela, Spain; Department of Advanced Medical Imaging, Grupo Health Time, Sercosa (Servicio Radiologia Computerizada, Clínica Las Nieves, Jaén, Spain (A.L.); Paul Strickland Scanner Centre, Mount Vernon Cancer Centre, Northwood, Middlesex, England (A.R.P.); Department of Radiology, Clínica Girona and Hospital Santa Caterina, Girona, Spain (J.C.V.); Department of Radiology, Hospital Clínic Barcelona, Barcelona, Spain (L.O.Z.); Unidad de Gestión Clínica de Medicina Nuclear, Instituto Maimónides de Investigación Biomédica de Córdoba, Hospital Universitario Reina Sofía, Córdoba, Spain (J.A.V.C.); and Department of Radiology, Instituto Valenciano de Oncología, Valencia, Spain (A.M.)
| | - Anwar R Padhani
- From the Department of Radiology, Division of Oncologic Imaging (R.G.F., S.B.G.), and Department of Radiation Oncology (A.M.C.C., A.G.C.), Hospital Clínico Universitario de Santiago de Compostela, Choupana s/n, 15706 Santiago de Compostela, Spain; Department of Advanced Medical Imaging, Grupo Health Time, Sercosa (Servicio Radiologia Computerizada, Clínica Las Nieves, Jaén, Spain (A.L.); Paul Strickland Scanner Centre, Mount Vernon Cancer Centre, Northwood, Middlesex, England (A.R.P.); Department of Radiology, Clínica Girona and Hospital Santa Caterina, Girona, Spain (J.C.V.); Department of Radiology, Hospital Clínic Barcelona, Barcelona, Spain (L.O.Z.); Unidad de Gestión Clínica de Medicina Nuclear, Instituto Maimónides de Investigación Biomédica de Córdoba, Hospital Universitario Reina Sofía, Córdoba, Spain (J.A.V.C.); and Department of Radiology, Instituto Valenciano de Oncología, Valencia, Spain (A.M.)
| | - Joan C Vilanova
- From the Department of Radiology, Division of Oncologic Imaging (R.G.F., S.B.G.), and Department of Radiation Oncology (A.M.C.C., A.G.C.), Hospital Clínico Universitario de Santiago de Compostela, Choupana s/n, 15706 Santiago de Compostela, Spain; Department of Advanced Medical Imaging, Grupo Health Time, Sercosa (Servicio Radiologia Computerizada, Clínica Las Nieves, Jaén, Spain (A.L.); Paul Strickland Scanner Centre, Mount Vernon Cancer Centre, Northwood, Middlesex, England (A.R.P.); Department of Radiology, Clínica Girona and Hospital Santa Caterina, Girona, Spain (J.C.V.); Department of Radiology, Hospital Clínic Barcelona, Barcelona, Spain (L.O.Z.); Unidad de Gestión Clínica de Medicina Nuclear, Instituto Maimónides de Investigación Biomédica de Córdoba, Hospital Universitario Reina Sofía, Córdoba, Spain (J.A.V.C.); and Department of Radiology, Instituto Valenciano de Oncología, Valencia, Spain (A.M.)
| | - Ana M Carballo-Castro
- From the Department of Radiology, Division of Oncologic Imaging (R.G.F., S.B.G.), and Department of Radiation Oncology (A.M.C.C., A.G.C.), Hospital Clínico Universitario de Santiago de Compostela, Choupana s/n, 15706 Santiago de Compostela, Spain; Department of Advanced Medical Imaging, Grupo Health Time, Sercosa (Servicio Radiologia Computerizada, Clínica Las Nieves, Jaén, Spain (A.L.); Paul Strickland Scanner Centre, Mount Vernon Cancer Centre, Northwood, Middlesex, England (A.R.P.); Department of Radiology, Clínica Girona and Hospital Santa Caterina, Girona, Spain (J.C.V.); Department of Radiology, Hospital Clínic Barcelona, Barcelona, Spain (L.O.Z.); Unidad de Gestión Clínica de Medicina Nuclear, Instituto Maimónides de Investigación Biomédica de Córdoba, Hospital Universitario Reina Sofía, Córdoba, Spain (J.A.V.C.); and Department of Radiology, Instituto Valenciano de Oncología, Valencia, Spain (A.M.)
| | - Laura Oleaga-Zufiria
- From the Department of Radiology, Division of Oncologic Imaging (R.G.F., S.B.G.), and Department of Radiation Oncology (A.M.C.C., A.G.C.), Hospital Clínico Universitario de Santiago de Compostela, Choupana s/n, 15706 Santiago de Compostela, Spain; Department of Advanced Medical Imaging, Grupo Health Time, Sercosa (Servicio Radiologia Computerizada, Clínica Las Nieves, Jaén, Spain (A.L.); Paul Strickland Scanner Centre, Mount Vernon Cancer Centre, Northwood, Middlesex, England (A.R.P.); Department of Radiology, Clínica Girona and Hospital Santa Caterina, Girona, Spain (J.C.V.); Department of Radiology, Hospital Clínic Barcelona, Barcelona, Spain (L.O.Z.); Unidad de Gestión Clínica de Medicina Nuclear, Instituto Maimónides de Investigación Biomédica de Córdoba, Hospital Universitario Reina Sofía, Córdoba, Spain (J.A.V.C.); and Department of Radiology, Instituto Valenciano de Oncología, Valencia, Spain (A.M.)
| | - Juan Antonio Vallejo-Casas
- From the Department of Radiology, Division of Oncologic Imaging (R.G.F., S.B.G.), and Department of Radiation Oncology (A.M.C.C., A.G.C.), Hospital Clínico Universitario de Santiago de Compostela, Choupana s/n, 15706 Santiago de Compostela, Spain; Department of Advanced Medical Imaging, Grupo Health Time, Sercosa (Servicio Radiologia Computerizada, Clínica Las Nieves, Jaén, Spain (A.L.); Paul Strickland Scanner Centre, Mount Vernon Cancer Centre, Northwood, Middlesex, England (A.R.P.); Department of Radiology, Clínica Girona and Hospital Santa Caterina, Girona, Spain (J.C.V.); Department of Radiology, Hospital Clínic Barcelona, Barcelona, Spain (L.O.Z.); Unidad de Gestión Clínica de Medicina Nuclear, Instituto Maimónides de Investigación Biomédica de Córdoba, Hospital Universitario Reina Sofía, Córdoba, Spain (J.A.V.C.); and Department of Radiology, Instituto Valenciano de Oncología, Valencia, Spain (A.M.)
| | - Ana Marhuenda
- From the Department of Radiology, Division of Oncologic Imaging (R.G.F., S.B.G.), and Department of Radiation Oncology (A.M.C.C., A.G.C.), Hospital Clínico Universitario de Santiago de Compostela, Choupana s/n, 15706 Santiago de Compostela, Spain; Department of Advanced Medical Imaging, Grupo Health Time, Sercosa (Servicio Radiologia Computerizada, Clínica Las Nieves, Jaén, Spain (A.L.); Paul Strickland Scanner Centre, Mount Vernon Cancer Centre, Northwood, Middlesex, England (A.R.P.); Department of Radiology, Clínica Girona and Hospital Santa Caterina, Girona, Spain (J.C.V.); Department of Radiology, Hospital Clínic Barcelona, Barcelona, Spain (L.O.Z.); Unidad de Gestión Clínica de Medicina Nuclear, Instituto Maimónides de Investigación Biomédica de Córdoba, Hospital Universitario Reina Sofía, Córdoba, Spain (J.A.V.C.); and Department of Radiology, Instituto Valenciano de Oncología, Valencia, Spain (A.M.)
| | - Antonio Gómez-Caamaño
- From the Department of Radiology, Division of Oncologic Imaging (R.G.F., S.B.G.), and Department of Radiation Oncology (A.M.C.C., A.G.C.), Hospital Clínico Universitario de Santiago de Compostela, Choupana s/n, 15706 Santiago de Compostela, Spain; Department of Advanced Medical Imaging, Grupo Health Time, Sercosa (Servicio Radiologia Computerizada, Clínica Las Nieves, Jaén, Spain (A.L.); Paul Strickland Scanner Centre, Mount Vernon Cancer Centre, Northwood, Middlesex, England (A.R.P.); Department of Radiology, Clínica Girona and Hospital Santa Caterina, Girona, Spain (J.C.V.); Department of Radiology, Hospital Clínic Barcelona, Barcelona, Spain (L.O.Z.); Unidad de Gestión Clínica de Medicina Nuclear, Instituto Maimónides de Investigación Biomédica de Córdoba, Hospital Universitario Reina Sofía, Córdoba, Spain (J.A.V.C.); and Department of Radiology, Instituto Valenciano de Oncología, Valencia, Spain (A.M.)
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McGee KP, Cao M, Das IJ, Yu V, Witte RJ, Kishan AU, Valle LF, Wiesinger F, De-Colle C, Cao Y, Breen WG, Traughber BJ. The Use of Magnetic Resonance Imaging in Radiation Therapy Treatment Simulation and Planning. J Magn Reson Imaging 2024. [PMID: 38265188 DOI: 10.1002/jmri.29246] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 01/08/2024] [Accepted: 01/08/2024] [Indexed: 01/25/2024] Open
Abstract
Ever since its introduction as a diagnostic imaging tool the potential of magnetic resonance imaging (MRI) in radiation therapy (RT) treatment simulation and planning has been recognized. Recent technical advances have addressed many of the impediments to use of this technology and as a result have resulted in rapid and growing adoption of MRI in RT. The purpose of this article is to provide a broad review of the multiple uses of MR in the RT treatment simulation and planning process, identify several of the most used clinical scenarios in which MR is integral to the simulation and planning process, highlight existing limitations and provide multiple unmet needs thereby highlighting opportunities for the diagnostic MR imaging community to contribute and collaborate with our oncology colleagues. EVIDENCE LEVEL: 5 TECHNICAL EFFICACY: Stage 5.
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Affiliation(s)
- Kiaran P McGee
- Department of Radiology, Mayo Clinic & Foundation, Rochester, Minnesota, USA
| | - Minsong Cao
- Department of Radiation Oncology, University of California, Los Angeles, California, USA
| | - Indra J Das
- Department of Radiation Oncology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Victoria Yu
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Robert J Witte
- Department of Radiology, Mayo Clinic & Foundation, Rochester, Minnesota, USA
| | - Amar U Kishan
- Department of Radiation Oncology, University of California, Los Angeles, California, USA
| | - Luca F Valle
- Department of Radiation Oncology, University of California, Los Angeles, California, USA
| | | | - Chiara De-Colle
- Department of Radiation Oncology, University Hospital and Medical Faculty, Eberhard Karls University Tübingen, Tübingen, Germany
| | - Yue Cao
- Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan, USA
| | - William G Breen
- Department of Radiation Oncology, Mayo Clinic & Foundation, Rochester, Minnesota, USA
| | - Bryan J Traughber
- Department of Radiation Oncology, Mayo Clinic & Foundation, Rochester, Minnesota, USA
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4
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Datta D, Dasgupta A, Chatterjee A, Sahu A, Bhattacharya K, Meena L, Joshi K, Puranik A, Dev I, Moiyadi A, Shetty P, Singh V, Patil V, Menon N, Sridhar E, Sahay A, Gupta T. Imaging-Based Patterns of Failure following Re-Irradiation for Recurrent/Progressive High-Grade Glioma. J Pers Med 2023; 13:jpm13040685. [PMID: 37109071 PMCID: PMC10144403 DOI: 10.3390/jpm13040685] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Revised: 03/17/2023] [Accepted: 04/17/2023] [Indexed: 04/29/2023] Open
Abstract
BACKGROUND Re-irradiation (ReRT) is an effective treatment modality in appropriately selected patients with recurrent/progressive high-grade glioma (HGG). The literature is limited regarding recurrence patterns following ReRT, which was investigated in the current study. METHODS Patients with available radiation (RT) contours, dosimetry, and imaging-based evidence of recurrence were included in the retrospective study. All patients were treated with fractionated focal conformal RT. Recurrence was detected on imaging with magnetic resonance imaging (MRI) and/ or amino-acid positron emission tomography (PET), which was co-registered with the RT planning dataset. Failure patterns were classified as central, marginal, and distant if >80%, 20-80%, or <20% of the recurrence volumes were within 95% isodose lines, respectively. RESULTS Thirty-seven patients were included in the current analysis. A total of 92% of patients had undergone surgery before ReRT, and 84% received chemotherapy. The median time to recurrence was 9 months. Central, marginal, and distant failures were seen in 27 (73%), 4 (11%), and 6 (16%) patients, respectively. None of the patient-, disease-, or treatment-related factors were significantly different across different recurrence patterns. CONCLUSION Failures are seen predominantly within the high-dose region following ReRT in recurrent/ progressive HGG.
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Affiliation(s)
- Debanjali Datta
- Department of Radiation Oncology, Tata Memorial Centre, Mumbai 400012, India
- Homi Bhabha National Institute (HBNI), Mumbai 400012, India
| | - Archya Dasgupta
- Department of Radiation Oncology, Tata Memorial Centre, Mumbai 400012, India
- Homi Bhabha National Institute (HBNI), Mumbai 400012, India
| | - Abhishek Chatterjee
- Department of Radiation Oncology, Tata Memorial Centre, Mumbai 400012, India
- Homi Bhabha National Institute (HBNI), Mumbai 400012, India
| | - Arpita Sahu
- Homi Bhabha National Institute (HBNI), Mumbai 400012, India
- Department of Radio-Diagnosis, Tata Memorial Centre, Mumbai 400012, India
| | - Kajari Bhattacharya
- Homi Bhabha National Institute (HBNI), Mumbai 400012, India
- Department of Radio-Diagnosis, Tata Memorial Centre, Mumbai 400012, India
| | - Lilawati Meena
- Homi Bhabha National Institute (HBNI), Mumbai 400012, India
- Department of Medical Physics, Tata Memorial Centre, Mumbai 400012, India
| | - Kishore Joshi
- Homi Bhabha National Institute (HBNI), Mumbai 400012, India
- Department of Medical Physics, Tata Memorial Centre, Mumbai 400012, India
| | - Ameya Puranik
- Homi Bhabha National Institute (HBNI), Mumbai 400012, India
- Department of Nuclear Medicine, Tata Memorial Centre, Mumbai 400012, India
| | - Indraja Dev
- Homi Bhabha National Institute (HBNI), Mumbai 400012, India
- Department of Nuclear Medicine, Tata Memorial Centre, Mumbai 400012, India
| | - Aliasgar Moiyadi
- Homi Bhabha National Institute (HBNI), Mumbai 400012, India
- Department of Neurosurgery, Tata Memorial Centre, Mumbai 400012, India
| | - Prakash Shetty
- Homi Bhabha National Institute (HBNI), Mumbai 400012, India
- Department of Neurosurgery, Tata Memorial Centre, Mumbai 400012, India
| | - Vikas Singh
- Homi Bhabha National Institute (HBNI), Mumbai 400012, India
- Department of Neurosurgery, Tata Memorial Centre, Mumbai 400012, India
| | - Vijay Patil
- Homi Bhabha National Institute (HBNI), Mumbai 400012, India
- Department of Medical Oncology, Tata Memorial Centre, Mumbai 400012, India
| | - Nandini Menon
- Homi Bhabha National Institute (HBNI), Mumbai 400012, India
- Department of Medical Oncology, Tata Memorial Centre, Mumbai 400012, India
| | - Epari Sridhar
- Homi Bhabha National Institute (HBNI), Mumbai 400012, India
- Department of Pathology, Tata Memorial Centre, Mumbai 400012, India
| | - Ayushi Sahay
- Homi Bhabha National Institute (HBNI), Mumbai 400012, India
- Department of Pathology, Tata Memorial Centre, Mumbai 400012, India
| | - Tejpal Gupta
- Department of Radiation Oncology, Tata Memorial Centre, Mumbai 400012, India
- Homi Bhabha National Institute (HBNI), Mumbai 400012, India
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Moore-Palhares D, Ho L, Lu L, Chugh B, Vesprini D, Karam I, Soliman H, Symons S, Leung E, Loblaw A, Myrehaug S, Stanisz G, Sahgal A, Czarnota GJ. Clinical implementation of magnetic resonance imaging simulation for radiation oncology planning: 5 year experience. Radiat Oncol 2023; 18:27. [PMID: 36750891 PMCID: PMC9903411 DOI: 10.1186/s13014-023-02209-4] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2022] [Accepted: 01/16/2023] [Indexed: 02/09/2023] Open
Abstract
PURPOSE Integrating magnetic resonance (MR) into radiotherapy planning has several advantages. This report details the clinical implementation of an MR simulation (MR-planning) program for external beam radiotherapy (EBRT) in one of North America's largest radiotherapy programs. METHODS AND MATERIALS An MR radiotherapy planning program was developed and implemented at Sunnybrook Health Sciences Center in 2016 with two dedicated wide-bore MR platforms (1.5 and 3.0 Tesla). Planning MR was sequentially implemented every 3 months for separate treatment sites, including the central nervous system (CNS), gynecologic (GYN), head and neck (HN), genitourinary (GU), gastrointestinal (GI), breast, and brachial plexus. Essential protocols and processes were detailed in this report, including clinical workflow, optimized MR-image acquisition protocols, MR-adapted patient setup, strategies to overcome risks and challenges, and an MR-planning quality assurance program. This study retrospectively reviewed simulation site data for all MR-planning sessions performed for EBRT over the past 5 years. RESULTS From July 2016 to December 2021, 8798 MR-planning sessions were carried out, which corresponds to 25% of all computer tomography (CT) simulations (CT-planning) performed during the same period at our institution. There was a progressive rise from 80 MR-planning sessions in 2016 to 1126 in 2017, 1492 in 2018, 1824 in 2019, 2040 in 2020, and 2236 in 2021. As a result, the relative number of planning MR/CT increased from 3% of all planning sessions in 2016 to 36% in 2021. The most common site of MR-planning was CNS (49%), HN (13%), GYN (12%), GU (12%), and others (8%). CONCLUSION Detailed clinical processes and protocols of our MR-planning program were presented, which have been improved over more than 5 years of robust experience. Strategies to overcome risks and challenges in the implementation process are highlighted. Our work provides details that can be used by institutions interested in implementing an MR-planning program.
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Affiliation(s)
- Daniel Moore-Palhares
- grid.413104.30000 0000 9743 1587Department of Radiation Oncology, Sunnybrook Health Sciences Centre, 2075 Bayview Avenue, T2, Toronto, ON M4N3M5 Canada ,grid.17063.330000 0001 2157 2938Department of Radiation Oncology, University of Toronto, Toronto, Canada ,grid.17063.330000 0001 2157 2938Physical Sciences, Sunnybrook Research Institute, Toronto, Canada
| | - Ling Ho
- grid.413104.30000 0000 9743 1587Department of Radiation Oncology, Sunnybrook Health Sciences Centre, 2075 Bayview Avenue, T2, Toronto, ON M4N3M5 Canada
| | - Lin Lu
- grid.413104.30000 0000 9743 1587Department of Radiation Oncology, Sunnybrook Health Sciences Centre, 2075 Bayview Avenue, T2, Toronto, ON M4N3M5 Canada
| | - Brige Chugh
- grid.413104.30000 0000 9743 1587Department of Radiation Oncology, Sunnybrook Health Sciences Centre, 2075 Bayview Avenue, T2, Toronto, ON M4N3M5 Canada ,grid.17063.330000 0001 2157 2938Department of Radiation Oncology, University of Toronto, Toronto, Canada ,grid.17063.330000 0001 2157 2938Physical Sciences, Sunnybrook Research Institute, Toronto, Canada
| | - Danny Vesprini
- grid.413104.30000 0000 9743 1587Department of Radiation Oncology, Sunnybrook Health Sciences Centre, 2075 Bayview Avenue, T2, Toronto, ON M4N3M5 Canada ,grid.17063.330000 0001 2157 2938Department of Radiation Oncology, University of Toronto, Toronto, Canada
| | - Irene Karam
- grid.413104.30000 0000 9743 1587Department of Radiation Oncology, Sunnybrook Health Sciences Centre, 2075 Bayview Avenue, T2, Toronto, ON M4N3M5 Canada ,grid.17063.330000 0001 2157 2938Department of Radiation Oncology, University of Toronto, Toronto, Canada
| | - Hany Soliman
- grid.413104.30000 0000 9743 1587Department of Radiation Oncology, Sunnybrook Health Sciences Centre, 2075 Bayview Avenue, T2, Toronto, ON M4N3M5 Canada ,grid.17063.330000 0001 2157 2938Department of Radiation Oncology, University of Toronto, Toronto, Canada
| | - Sean Symons
- grid.17063.330000 0001 2157 2938Physical Sciences, Sunnybrook Research Institute, Toronto, Canada ,grid.413104.30000 0000 9743 1587Department of Medical Imaging, Sunnybrook Health Sciences Centre, Toronto, Canada
| | - Eric Leung
- grid.413104.30000 0000 9743 1587Department of Radiation Oncology, Sunnybrook Health Sciences Centre, 2075 Bayview Avenue, T2, Toronto, ON M4N3M5 Canada ,grid.17063.330000 0001 2157 2938Department of Radiation Oncology, University of Toronto, Toronto, Canada
| | - Andrew Loblaw
- grid.413104.30000 0000 9743 1587Department of Radiation Oncology, Sunnybrook Health Sciences Centre, 2075 Bayview Avenue, T2, Toronto, ON M4N3M5 Canada ,grid.17063.330000 0001 2157 2938Department of Radiation Oncology, University of Toronto, Toronto, Canada
| | - Sten Myrehaug
- grid.413104.30000 0000 9743 1587Department of Radiation Oncology, Sunnybrook Health Sciences Centre, 2075 Bayview Avenue, T2, Toronto, ON M4N3M5 Canada ,grid.17063.330000 0001 2157 2938Department of Radiation Oncology, University of Toronto, Toronto, Canada
| | - Greg Stanisz
- grid.17063.330000 0001 2157 2938Physical Sciences, Sunnybrook Research Institute, Toronto, Canada
| | - Arjun Sahgal
- grid.413104.30000 0000 9743 1587Department of Radiation Oncology, Sunnybrook Health Sciences Centre, 2075 Bayview Avenue, T2, Toronto, ON M4N3M5 Canada ,grid.17063.330000 0001 2157 2938Department of Radiation Oncology, University of Toronto, Toronto, Canada
| | - Gregory J. Czarnota
- grid.413104.30000 0000 9743 1587Department of Radiation Oncology, Sunnybrook Health Sciences Centre, 2075 Bayview Avenue, T2, Toronto, ON M4N3M5 Canada ,grid.17063.330000 0001 2157 2938Department of Radiation Oncology, University of Toronto, Toronto, Canada ,grid.17063.330000 0001 2157 2938Physical Sciences, Sunnybrook Research Institute, Toronto, Canada ,grid.17063.330000 0001 2157 2938Department of Medical Biophysics, University of Toronto, Toronto, Canada
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McGee KP, Campeau NG, Witte RJ, Rossman PJ, Christopherson JA, Tryggestad EJ, Brinkmann DH, Ma DJ, Park SS, Rettmann DW, Robb FJ. Evaluation of a New, Highly Flexible Radiofrequency Coil for MR Simulation of Patients Undergoing External Beam Radiation Therapy. J Clin Med 2022; 11:5984. [PMID: 36294304 PMCID: PMC9604708 DOI: 10.3390/jcm11205984] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Revised: 09/30/2022] [Accepted: 10/08/2022] [Indexed: 04/20/2024] Open
Abstract
PURPOSE To evaluate the performance of a new, highly flexible radiofrequency (RF) coil system for imaging patients undergoing MR simulation. METHODS Volumetric phantom and in vivo images were acquired with a commercially available and prototype RF coil set. Phantom evaluation was performed using a silicone-filled humanoid phantom of the head and shoulders. In vivo assessment was performed in five healthy and six patient subjects. Phantom data included T1-weighted volumetric imaging, while in vivo acquisitions included both T1- and T2-weighted volumetric imaging. Signal to noise ratio (SNR) and uniformity metrics were calculated in the phantom data, while SNR values were calculated in vivo. Statistical significance was tested by means of a non-parametric analysis of variance test. RESULTS At a threshold of p = 0.05, differences in measured SNR distributions within the entire phantom volume were statistically different in two of the three paired coil set comparisons. Differences in per slice average SNR between the two coil sets were all statistically significant, as well as differences in per slice image uniformity. For patients, SNRs within the entire imaging volume were statistically significantly different in four of the nine comparisons and seven of the nine comparisons performed on the per slice average SNR values. For healthy subjects, SNRs within the entire imaging volume were statistically significantly different in seven of the nine comparisons and eight of the nine comparisons when per slice average SNR was tested. CONCLUSIONS Phantom and in vivo results demonstrate that image quality obtained from the novel flexible RF coil set was similar or improved over the conventional coil system. The results also demonstrate that image quality is impacted by the specific coil configurations used for imaging and should be matched appropriately to the anatomic site imaged to ensure optimal and reproducible image quality.
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Affiliation(s)
- Kiaran P. McGee
- Department of Radiology, Mayo Clinic and Foundation, Rochester, MN 55905, USA
| | - Norbert G. Campeau
- Department of Radiology, Mayo Clinic and Foundation, Rochester, MN 55905, USA
| | - Robert J. Witte
- Department of Radiology, Mayo Clinic and Foundation, Rochester, MN 55905, USA
| | - Philip J. Rossman
- Department of Radiology, Mayo Clinic and Foundation, Rochester, MN 55905, USA
| | | | - Erik J. Tryggestad
- Department of Radiation Oncology, Mayo Clinic and Foundation, Rochester, MN 55905, USA
| | - Debra H. Brinkmann
- Department of Radiation Oncology, Mayo Clinic and Foundation, Rochester, MN 55905, USA
| | - Daniel J. Ma
- Department of Radiation Oncology, Mayo Clinic and Foundation, Rochester, MN 55905, USA
| | - Sean S. Park
- Department of Radiation Oncology, Mayo Clinic and Foundation, Rochester, MN 55905, USA
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