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Webster A, Fog LS, Hall E, van Rossum PS, Nevens D, Montay-Gruel P, Franco P, Joyce E, Jornet N, Clark CH, Bertholet J. ESTRO guidelines for developing questionnaires in survey-based radiation oncology research. Clin Transl Radiat Oncol 2025; 51:100895. [PMID: 39898327 PMCID: PMC11786078 DOI: 10.1016/j.ctro.2024.100895] [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: 08/15/2024] [Revised: 11/13/2024] [Accepted: 11/20/2024] [Indexed: 02/04/2025] Open
Abstract
Survey-based research is increasingly used in radiation oncology, yet survey-based research methodology is often unfamiliar in the field. This guideline offers comprehensive instructions for conducting survey-based research in radiation oncology, covering critical aspects such as survey design, validation, dissemination, analysis, and reporting. Tailored to professionals, it emphasizes the importance of methodological rigour to ensure reliable and actionable data collection. Dissemination strategies are highlighted to maximize response rates and enhance data completeness across diverse clinical, research and industrial settings. Rigorous analysis techniques are discussed to uncover insights that optimize operational efficiencies and inform evidence-based practices. Transparent reporting is underscored as crucial for enhancing the credibility and applicability of findings. This guideline aims to be a practical resource for enhancing research standards in survey-based research for researchers and practitioners in radiation oncology.
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Affiliation(s)
- Amanda Webster
- Cancer Division, University College London Hospital (UCLH), London, United Kingdom
- Department of Medical Physics and Biomedical Engineering, University College London (UCL), London, United Kingdom
- National Radiotherapy Trials Quality Assurance (RTTQA) Group, University College Hospital (UCLH), United Kingdom
| | - Lotte S. Fog
- Alfred Health Radiation Oncology, Melbourne, Victoria, Australia
- The Ocular Oncology Clinic, The Royal Victorian Eye and Ear Hospital, Melbourne, Victoria, Australia
| | - Emma Hall
- Clinical Trials and Statistics Unit, The Institute of Cancer Research, London, United Kingdom
| | - Peter S.N. van Rossum
- Department of Radiation Oncology, Amsterdam UMC, Location VUmc, Amsterdam, the Netherlands
| | - Daan Nevens
- Iridium Netwerk, Radiotherapy Department, Antwerp REsearch in Radiation Oncology (AReRO), Center for Oncological Research (CORE), Integrated Personalized and Precision Oncology (IPPON), University of Antwerp, Antwerp, Belgium
| | - Pierre Montay-Gruel
- Iridium Netwerk, Radiotherapy Department, Antwerp REsearch in Radiation Oncology (AReRO), Center for Oncological Research (CORE), Integrated Personalized and Precision Oncology (IPPON), University of Antwerp, Antwerp, Belgium
| | - Pierfrancesco Franco
- Department of Translational Medicine (DIMET), University of Eastern Piedmont, Novara, Italy
- Department of Radiation Oncology, ’Maggiore della Carità’ University Hospital, Novara, Italy
| | - Elizabeth Joyce
- Radiotherapy Department, Royal Marsden Hospital, Surrey, United Kingdom
| | - Nuria Jornet
- Servei de Radiofisica i Radioproteccio, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
| | - Catharine H. Clark
- Department of Medical Physics and Biomedical Engineering, University College London (UCL), London, United Kingdom
- Radiotherapy Physics, University College London Hospital, London, UK
| | - Jenny Bertholet
- Division of Medical Radiation Physics and Department of Radiation Oncology, Inselspital, Bern University Hospital, and University of Bern, Bern, Switzerland
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Shepherd M, Joyce E, Williams B, Graham S, Li W, Booth J, McNair HA. Training for tomorrow: Establishing a worldwide curriculum in online adaptive radiation therapy. Tech Innov Patient Support Radiat Oncol 2025; 33:100304. [PMID: 40027119 PMCID: PMC11868997 DOI: 10.1016/j.tipsro.2025.100304] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2024] [Revised: 12/23/2024] [Accepted: 01/30/2025] [Indexed: 03/05/2025] Open
Abstract
This commentary discusses the implementation of online adaptive radiation therapy (oART) in cancer treatment within the context of current challenges faced by radiation therapy professionals. oART enables modifications to treatment plans based on daily imaging, enhancing target accuracy while minimising harm to surrounding organs. Despite its potential to improve patient outcomes, the application of oART is hindered by notable barriers, particularly in human resources. A global shortage of skilled radiation professionals such as radiation therapists or therapeutic radiographers (RTTs), medical physicists and radiation oncologists, along with training challenges in online adaptive techniques, hinders oART implementation and sustainability. Moreover, geographical disparities limit access to advanced training programs, leaving RTTs and their patients in underserved regions at a disadvantage. There is growing global evidence that RTTs are being successfully trained to lead adaptive fractions in both cone-beam computed tomography and magnetic resonance imaging guided oART. This commentary proposes the notion of standards for a global training curriculum to address barriers and expand RTT capabilities in delivering oART. By leveraging artificial intelligence and fostering interdisciplinary collaboration, the radiation therapy field can enhance efficiency and accuracy in oART. Successful training models from leading institutions illustrate the importance of hands-on experience and ongoing mentorship. A coordinated effort among stakeholders is essential to establish a comprehensive global training framework, ultimately improving patient access to oART and elevating standards of care worldwide.
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Affiliation(s)
- Meegan Shepherd
- Northern Sydney Cancer Centre, Royal North Shore Hospital, St Leonards, NSW, Australia
- Monash University, Clayton, VIC, Australia
| | - Elizabeth Joyce
- The Royal Marsden NHS Foundation Trust & Institute of Cancer Research, United Kingdom
| | - Bethany Williams
- The Royal Marsden NHS Foundation Trust & Institute of Cancer Research, United Kingdom
| | - Siobhan Graham
- Queens Hospital, Romford, Barking, Havering and Redbridge University Hospital NHS Trust, United Kingdom
| | - Winnie Li
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, ON, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada
| | - Jeremy Booth
- Northern Sydney Cancer Centre, Royal North Shore Hospital, St Leonards, NSW, Australia
- Institute of Medical Physics, School of Physics, University of Sydney, NSW, Australia
| | - Helen A. McNair
- The Royal Marsden NHS Foundation Trust & Institute of Cancer Research, United Kingdom
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Moreira A, Rosewall T, Tsang Y, Lindsay P, Chung P, Li W. Pan-Canadian assessment of image guided adaptive radiation therapy and the role of the radiation therapist. Tech Innov Patient Support Radiat Oncol 2025; 33:100303. [PMID: 39973910 PMCID: PMC11835646 DOI: 10.1016/j.tipsro.2025.100303] [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: 10/24/2024] [Revised: 12/23/2024] [Accepted: 01/21/2025] [Indexed: 02/21/2025] Open
Abstract
Purpose Adaptive radiation therapy (ART) is a close-looped process where anatomic changes observed during treatment are identified, leading to plan modification prior to treatment delivery. The aim of this study was to explore the status of ART across Canada and review the impact of adaptive technologies on the roles and responsibilities of Radiation Therapists (RTTs). Materials and Methods Study information and a link to a 30-question survey was sent via email to the RTT manager of all cancer centres across Canada (n = 48). The survey questions included centre demographics, presence of offline and/or online ART activities as standard of care, corresponding roles and responsibilities of the multidisciplinary team, and training activities. The survey was administered electronically and closed after a 3-week accrual period. Responses were analyzed using descriptive statistics. Results Thirty-two out of 48 centres responded across all ten provinces (67 % response rate). Twenty-five centres (78 %) currently perform ART, all of which practiced offline ART while 5 practiced online ART. Most common responses for lack of ART were 'technical limitations' and 'lack of resources'. RTTs are responsible for 50 % (offline) versus 58 % (online) ART respectively, with the most notable change being the addition of target delineation to their daily practice. Conclusions The status of ART varies across Canada. Offline ART is commonly practiced, but online ART remains an infrequent process due to technical limitations and lack of resources. As centres move towards implementing online ART, the role of the RTT will need to be redefined with corresponding upskilling to support the emergent treatment paradigm.
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Affiliation(s)
- Amanda Moreira
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
| | - Tara Rosewall
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, Canada
| | - Yat Tsang
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, Canada
| | - Patricia Lindsay
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, Canada
| | - Peter Chung
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, Canada
| | - Winnie Li
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, Canada
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4
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Goudschaal K, Azzarouali S, Visser J, Admiraal M, Wiersma J, van Wieringen N, de la Fuente A, Piet M, Daniels L, den Boer D, Hulshof M, Bel A. Clinical implementation of RTT-only CBCT-guided online adaptive focal radiotherapy for bladder cancer. Clin Transl Radiat Oncol 2025; 50:100884. [PMID: 39559697 PMCID: PMC11570400 DOI: 10.1016/j.ctro.2024.100884] [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: 07/08/2024] [Revised: 10/30/2024] [Accepted: 10/30/2024] [Indexed: 11/20/2024] Open
Abstract
Purpose The study assesses the clinical implementation of radiation therapist (RTT)-only Conebeam CT (CBCT)-guided online adaptive focal radiotherapy (oART) for bladder cancer, by describing the training program, analyzing the workflow and monitoring patient experience. Materials and methods Bladder cancer patients underwent treatment (20 sessions) on a ring-based linac (Ethos, Varian, a Siemens Healthineers Company, USA). Commencing April 2021, 14 patients were treated by RTTs supervised by the Radiation Oncologist (RO) and Medical Physics Expert (MPE) in a multidisciplinary workflow. From March 2022, 14 patients were treated solely by RTTs. RTT training included target delineation lessons and practicing oART in a simulation environment. We analyzed the efficiency of the RTT-only workflow regarding session time, adjustments by RTTs, attendance of the RO and MPE at the linac, and qualitative assessment of gross tumor volume (GTV) delineation. Patient experience was monitored through questionnaires. Results A training program resulted in a skilled team of RTTs, ROs and MPEs.The RTT-only workflow demonstrated shorter session times compared to the multidisciplinary approach. Among 14 patients treated using the RTT-only workflow, RTTs adjusted 99% of bladder volumes and 44% of GTV. 79% of the sessions proceeded without MPEs and ROs. All GTV delineations were RO-approved, thus considered clinically acceptable, and 87% required minor or no adjustments. Patient satisfaction was reported in 18 of 21 cases. Conclusions The RTT-only oART workflow for bladder cancer, complemented by a training program and on-call support from ROs and MPEs, demonstrated success. Patient experience is positive. It is currently introduced as standard in our clinic.
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Affiliation(s)
- K. Goudschaal
- Amsterdam UMC Location University of Amsterdam, Radiation Oncology, Meibergdreef 9, Amsterdam, the Netherlands
- Cancer Center Amsterdam, Cancer Therapy, Treatment and Quality of Life, Amsterdam, the Netherlands
| | - S. Azzarouali
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Radiation Oncology, De Boelelaan 1117, Amsterdam, the Netherlands
- Cancer Center Amsterdam, Cancer Therapy, Treatment and Quality of Life, Amsterdam, the Netherlands
| | - J. Visser
- Amsterdam UMC Location University of Amsterdam, Radiation Oncology, Meibergdreef 9, Amsterdam, the Netherlands
- Cancer Center Amsterdam, Cancer Therapy, Treatment and Quality of Life, Amsterdam, the Netherlands
| | - M. Admiraal
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Radiation Oncology, De Boelelaan 1117, Amsterdam, the Netherlands
- Cancer Center Amsterdam, Cancer Therapy, Treatment and Quality of Life, Amsterdam, the Netherlands
- The Netherlands Cancer Institute, Radiation Oncology, the Netherlands
| | - J. Wiersma
- Amsterdam UMC Location University of Amsterdam, Radiation Oncology, Meibergdreef 9, Amsterdam, the Netherlands
- Cancer Center Amsterdam, Cancer Therapy, Treatment and Quality of Life, Amsterdam, the Netherlands
| | - N. van Wieringen
- Amsterdam UMC Location University of Amsterdam, Radiation Oncology, Meibergdreef 9, Amsterdam, the Netherlands
- Cancer Center Amsterdam, Cancer Therapy, Treatment and Quality of Life, Amsterdam, the Netherlands
| | - A. de la Fuente
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Radiation Oncology, De Boelelaan 1117, Amsterdam, the Netherlands
- Cancer Center Amsterdam, Cancer Therapy, Treatment and Quality of Life, Amsterdam, the Netherlands
| | - M. Piet
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Radiation Oncology, De Boelelaan 1117, Amsterdam, the Netherlands
- Cancer Center Amsterdam, Cancer Therapy, Treatment and Quality of Life, Amsterdam, the Netherlands
| | - L. Daniels
- Amsterdam UMC Location University of Amsterdam, Radiation Oncology, Meibergdreef 9, Amsterdam, the Netherlands
- Cancer Center Amsterdam, Cancer Therapy, Treatment and Quality of Life, Amsterdam, the Netherlands
| | - D. den Boer
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Radiation Oncology, De Boelelaan 1117, Amsterdam, the Netherlands
- Cancer Center Amsterdam, Cancer Therapy, Treatment and Quality of Life, Amsterdam, the Netherlands
| | - M. Hulshof
- Amsterdam UMC Location University of Amsterdam, Radiation Oncology, Meibergdreef 9, Amsterdam, the Netherlands
- Cancer Center Amsterdam, Cancer Therapy, Treatment and Quality of Life, Amsterdam, the Netherlands
| | - A. Bel
- Amsterdam UMC Location University of Amsterdam, Radiation Oncology, Meibergdreef 9, Amsterdam, the Netherlands
- Cancer Center Amsterdam, Cancer Therapy, Treatment and Quality of Life, Amsterdam, the Netherlands
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5
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McNair HA, Milosevic MF, Parikh PJ, van der Heide UA. Future of Multidisciplinary Team in the Context of Adaptive Therapy. Semin Radiat Oncol 2024; 34:418-425. [PMID: 39271276 DOI: 10.1016/j.semradonc.2024.08.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/15/2024]
Abstract
The implementation and early adoption of online adaptive radiotherapy (oART) has required the presence of clinicians, physicists and radiation therapists (RTT) at the treatment console. The impact on each of them is unique to their profession and must be considered for safe and efficient implementation. In the short term future, widespread adoption will depend on the development of innovative workflows, and rethinking of traditional roles and responsibilities may be required. For the future, technologies such as artificial intelligence promise to change the workflow significantly in terms of speed, automation and decision-making. However, overall communication within the team will persist in being one of the most important aspects.
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Affiliation(s)
- H A McNair
- The Royal Marsden NHS Foundation Trust and the Institute of Cancer Research, Sutton, UK..
| | - M F Milosevic
- Radiation Medicine Program, Princess Margaret Cancer Centre and Department of Radiation Oncology, University of Toronto, Toronto, Canada
| | | | - U A van der Heide
- The Netherlands Cancer Institute, Department of Radiation Oncology, Amsterdam and department of Radiation Oncology, Leiden University Medical Centre the Netherlands, Leiden, The Netherlands
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6
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Iramina H, Tsuneda M, Okamoto H, Kadoya N, Mukumoto N, Toyota M, Fukunaga J, Fujita Y, Tohyama N, Onishi H, Nakamura M. Multi-institutional questionnaire-based survey on online adaptive radiotherapy performed using commercial systems in Japan in 2023. Radiol Phys Technol 2024; 17:581-595. [PMID: 39028438 DOI: 10.1007/s12194-024-00828-4] [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: 05/27/2024] [Revised: 07/12/2024] [Accepted: 07/13/2024] [Indexed: 07/20/2024]
Abstract
In this study, we aimed to conduct a survey on the current clinical practice of, staffing for, commissioning of, and staff training for online adaptive radiotherapy (oART) in the institutions that installed commercial oART systems in Japan, and to share the information with institutions that will implement oART systems in future. A web-based questionnaire, containing 107 questions, was distributed to nine institutions in Japan. Data were collected from November to December 2023. Three institutions each with the MRIdian (ViewRay, Oakwood Village, OH, USA), Unity (Elekta AB, Stockholm, Sweden), and Ethos (Varian Medical Systems, Palo Alto, CA, USA) systems completed the questionnaire. One institution (MRIdian) had not performed oART by the response deadline. Each institution had installed only one oART system. Hypofractionation, and moderate hypofractionation or conventional fractionation were employed in the MRIdian/Unity and Ethos systems, respectively. The elapsed time for the oART process was faster with the Ethos than with the other systems. All institutions added additional staff for oART. Commissioning periods differed among the oART systems owing to provision of beam data from the vendors. Chambers used during commissioning measurements differed among the institutions. Institutional training was provided by all nine institutions. To the best of our knowledge, this was the first survey about oART performed using commercial systems in Japan. We believe that this study will provide useful information to institutions that installed, are installing, or are planning to install oART systems.
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Affiliation(s)
- Hiraku Iramina
- Adaptive Radiotherapy Working Group (ART-WG), QA/QC Committee, Japan Society of Medical Physics, Tokyo, Japan
- Department of Radiation Oncology and Image-Applied Therapy, Graduate School of Medicine, Kyoto University, 54 Kawahara-Cho, Shogoin, Sakyo-Ku, Kyoto-Shi, Kyoto, 606-8507, Japan
| | - Masato Tsuneda
- Adaptive Radiotherapy Working Group (ART-WG), QA/QC Committee, Japan Society of Medical Physics, Tokyo, Japan
- Department of Radiation Oncology, MR Linac ART Division, Graduate School of Medicine, Chiba University, 1-8-1 Inohana, Chuo-Ku, Chiba-Shi, Chiba, 260-8670, Japan
| | - Hiroyuki Okamoto
- Adaptive Radiotherapy Working Group (ART-WG), QA/QC Committee, Japan Society of Medical Physics, Tokyo, Japan
- Radiation Safety and Quality Assurance Division, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-Ku, Tokyo, 104-0045, Japan
| | - Noriyuki Kadoya
- Adaptive Radiotherapy Working Group (ART-WG), QA/QC Committee, Japan Society of Medical Physics, Tokyo, Japan
- Department of Radiation Oncology, Tohoku University Graduate School of Medicine, 1-1 Seiryo-Machi, Aoba-Ku, Sendai-Shi, Miyagi, 980-8574, Japan
| | - Nobutaka Mukumoto
- Adaptive Radiotherapy Working Group (ART-WG), QA/QC Committee, Japan Society of Medical Physics, Tokyo, Japan
- Department of Radiation Oncology, Graduate School of Medicine, Osaka Metropolitan University, 1-4-3 Asahi-Machi, Abeno-Ku, Osaka-Shi, Osaka, 545-8585, Japan
| | - Masahiko Toyota
- Adaptive Radiotherapy Working Group (ART-WG), QA/QC Committee, Japan Society of Medical Physics, Tokyo, Japan
- Division of Radiology, Department of Clinical Technology, Kagoshima University Hospital, 8-35-1 Sakuragaoka, Kagoshima-Shi, Kagoshima, 890-8520, Japan
| | - Junichi Fukunaga
- Adaptive Radiotherapy Working Group (ART-WG), QA/QC Committee, Japan Society of Medical Physics, Tokyo, Japan
- Division of Radiology, Department of Medical Technology, Kyushu University Hospital, 3-1-1 Maidashi, Higashi-Ku, Fukuoka-Shi, Fukuoka, 812-8582, Japan
| | - Yukio Fujita
- Adaptive Radiotherapy Working Group (ART-WG), QA/QC Committee, Japan Society of Medical Physics, Tokyo, Japan
- Department of Radiation Oncology, MR Linac ART Division, Graduate School of Medicine, Chiba University, 1-8-1 Inohana, Chuo-Ku, Chiba-Shi, Chiba, 260-8670, Japan
- Department of Radiological Sciences, Komazawa University, 1-23-1 Komazawa, Setagaya-Ku, Tokyo, 154-8525, Japan
| | - Naoki Tohyama
- Department of Radiological Sciences, Komazawa University, 1-23-1 Komazawa, Setagaya-Ku, Tokyo, 154-8525, Japan
| | - Hiroshi Onishi
- Department of Radiology, University of Yamanashi, 1110 Shimokato, Chuo-Shi, Yamanashi, 409-3898, Japan
| | - Mitsuhiro Nakamura
- Adaptive Radiotherapy Working Group (ART-WG), QA/QC Committee, Japan Society of Medical Physics, Tokyo, Japan.
- Department of Advanced Medical Physics, Graduate School of Medicine, Kyoto University, 53 Kawahara-Cho, Shogoin, Sakyo-Ku, Kyoto-Shi, Kyoto, 606-8507, Japan.
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Lai J, Luo Z, Liu J, Hu H, Jiang H, Liu P, He L, Cheng W, Ren W, Wu Y, Piao JG, Wu Z. Charged Gold Nanoparticles for Target Identification-Alignment and Automatic Segmentation of CT Image-Guided Adaptive Radiotherapy in Small Hepatocellular Carcinoma. NANO LETTERS 2024; 24:10614-10623. [PMID: 39046153 PMCID: PMC11363118 DOI: 10.1021/acs.nanolett.4c02823] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/17/2024] [Revised: 07/19/2024] [Accepted: 07/22/2024] [Indexed: 07/25/2024]
Abstract
Because of the challenges posed by anatomical uncertainties and the low resolution of plain computed tomography (CT) scans, implementing adaptive radiotherapy (ART) for small hepatocellular carcinoma (sHCC) using artificial intelligence (AI) faces obstacles in tumor identification-alignment and automatic segmentation. The current study aims to improve sHCC imaging for ART using a gold nanoparticle (Au NP)-based CT contrast agent to enhance AI-driven automated image processing. The synthesized charged Au NPs demonstrated notable in vitro aggregation, low cytotoxicity, and minimal organ toxicity. Over time, an in situ sHCC mouse model was established for in vivo CT imaging at multiple time points. The enhanced CT images processed using 3D U-Net and 3D Trans U-Net AI models demonstrated high geometric and dosimetric accuracy. Therefore, charged Au NPs enable accurate and automatic sHCC segmentation in CT images using classical AI models, potentially addressing the technical challenges related to tumor identification, alignment, and automatic segmentation in CT-guided online ART.
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Affiliation(s)
- Jianjun Lai
- Department
of Radiation Oncology, Zhejiang Hospital, Hangzhou 310013, China
- Instiute
of Intelligent Control and Robotics, Hangzhou
Dianzi University, Hangzhou 310018, China
| | - Zhizeng Luo
- Instiute
of Intelligent Control and Robotics, Hangzhou
Dianzi University, Hangzhou 310018, China
| | - Jiping Liu
- Department
of Radiation Physics, Zhejiang Cancer Hospital, Hangzhou 310022, China
| | - Haili Hu
- Department
of Radiation Oncology, Zhejiang Hospital, Hangzhou 310013, China
| | - Hao Jiang
- Department
of Radiation Oncology, Zhejiang Hospital, Hangzhou 310013, China
| | - Pengyuan Liu
- Department
of Radiation Oncology, Zhejiang Hospital, Hangzhou 310013, China
| | - Li He
- School
of Pharmaceutical Sciences, Zhejiang Chinese
Medical University, Hangzhou 310053, China
| | - Weiyi Cheng
- School
of Pharmaceutical Sciences, Zhejiang Chinese
Medical University, Hangzhou 310053, China
| | - Weiye Ren
- School
of Pharmaceutical Sciences, Zhejiang Chinese
Medical University, Hangzhou 310053, China
| | - Yajun Wu
- Department
of Pharmacy, Zhejiang Hospital, Hangzhou 310013, China
| | - Ji-Gang Piao
- School
of Pharmaceutical Sciences, Zhejiang Chinese
Medical University, Hangzhou 310053, China
| | - Zhibing Wu
- Department
of Radiation Oncology, Zhejiang Hospital, Hangzhou 310013, China
- Department
of Radiation Oncology, Affiliated Zhejiang
Hospital, Zhejiang University School of Medicine, Hangzhou 310013, China
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8
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Åström LM, Sibolt P, Chamberlin H, Serup-Hansen E, Andersen CE, van Herk M, Mouritsen LS, Aznar MC, Behrens CP. Artificial intelligence-generated targets and inter-observer variation in online adaptive radiotherapy of bladder cancer. Phys Imaging Radiat Oncol 2024; 31:100640. [PMID: 39297081 PMCID: PMC11407955 DOI: 10.1016/j.phro.2024.100640] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2024] [Revised: 08/29/2024] [Accepted: 08/29/2024] [Indexed: 09/21/2024] Open
Abstract
Background and purpose Daily target re-delineation in online adaptive radiotherapy (oART) introduces uncertainty. The aim of this study was to evaluate artificial intelligence (AI) generated contours and inter-observer target variation among radiotherapy technicians in cone-beam CT (CBCT) guided oART of bladder cancer. Materials and methods For each of 10 consecutive patients treated with oART for bladder cancer, one CBCT was randomly selected and retrospectively included. The bladder (CTV-T) was AI-segmented (CTV-TAI). Seven radiotherapy technicians independently reviewed and edited CTV-TAI, generating CTV-TADP. Contours were benchmarked against a ground truth contour (CTV-TGT) delineated blindly from scratch. CTV-TADP and CTV-TAI were compared to CTV-TGT using volume, dice similarity coefficient, and bidirectional local distance. Dose coverage (D99%>95 %) of CTV-TGT was evaluated for treatment plans optimized for CTV-TAI and CTV-TADP with clinical margins. Inter-observer variation among CTV-TADP was assessed using coefficient of variation and generalized conformity index. Results CTV-TGT ranged from 48.7 cm3 to 211.6 cm3. The median [range] volume difference was 4.5 [-17.8, 42.4] cm3 for CTV-TADP and -15.5 [-54.2, 4.3] cm3 for CTV-TAI, compared to CTV-TGT. Corresponding dice similarity coefficients were 0.87 [0.71, 0.95] and 0.84 [0.64, 0.95]. CTV-TGT was adequately covered in 68/70 plans optimized on CTV-TADP and in 6/10 plans optimized on CTV-TAI with clinical margins. The median [range] coefficient of variation was 0.08 [0.05, 0.11] and generalized conformity index was 0.78 [0.71, 0.88] among CTV-TADP. Conclusions Target re-delineation in CBCT-guided oART of bladder cancer demonstrated non-isotropic inter-observer variation. Manual adjustment of AI-generated contours was necessary to cover ground truth targets.
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Affiliation(s)
- Lina M Åström
- Department of Oncology, Copenhagen University Hospital - Herlev and Gentofte, Copenhagen, Denmark
- Department of Health Technology, Technical University of Denmark, Roskilde, Denmark
| | - Patrik Sibolt
- Department of Oncology, Copenhagen University Hospital - Herlev and Gentofte, Copenhagen, Denmark
| | - Hannah Chamberlin
- Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom
| | - Eva Serup-Hansen
- Department of Oncology, Copenhagen University Hospital - Herlev and Gentofte, Copenhagen, Denmark
| | - Claus E Andersen
- Department of Health Technology, Technical University of Denmark, Roskilde, Denmark
| | - Marcel van Herk
- Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom
| | - Lene S Mouritsen
- Department of Oncology, Copenhagen University Hospital - Herlev and Gentofte, Copenhagen, Denmark
| | - Marianne C Aznar
- Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom
| | - Claus P Behrens
- Department of Oncology, Copenhagen University Hospital - Herlev and Gentofte, Copenhagen, Denmark
- Department of Health Technology, Technical University of Denmark, Roskilde, Denmark
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9
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Knäusl B, Belotti G, Bertholet J, Daartz J, Flampouri S, Hoogeman M, Knopf AC, Lin H, Moerman A, Paganelli C, Rucinski A, Schulte R, Shimizu S, Stützer K, Zhang X, Zhang Y, Czerska K. A review of the clinical introduction of 4D particle therapy research concepts. Phys Imaging Radiat Oncol 2024; 29:100535. [PMID: 38298885 PMCID: PMC10828898 DOI: 10.1016/j.phro.2024.100535] [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: 10/11/2023] [Revised: 12/12/2023] [Accepted: 01/04/2024] [Indexed: 02/02/2024] Open
Abstract
Background and purpose Many 4D particle therapy research concepts have been recently translated into clinics, however, remaining substantial differences depend on the indication and institute-related aspects. This work aims to summarise current state-of-the-art 4D particle therapy technology and outline a roadmap for future research and developments. Material and methods This review focused on the clinical implementation of 4D approaches for imaging, treatment planning, delivery and evaluation based on the 2021 and 2022 4D Treatment Workshops for Particle Therapy as well as a review of the most recent surveys, guidelines and scientific papers dedicated to this topic. Results Available technological capabilities for motion surveillance and compensation determined the course of each 4D particle treatment. 4D motion management, delivery techniques and strategies including imaging were diverse and depended on many factors. These included aspects of motion amplitude, tumour location, as well as accelerator technology driving the necessity of centre-specific dosimetric validation. Novel methodologies for X-ray based image processing and MRI for real-time tumour tracking and motion management were shown to have a large potential for online and offline adaptation schemes compensating for potential anatomical changes over the treatment course. The latest research developments were dominated by particle imaging, artificial intelligence methods and FLASH adding another level of complexity but also opportunities in the context of 4D treatments. Conclusion This review showed that the rapid technological advances in radiation oncology together with the available intrafractional motion management and adaptive strategies paved the way towards clinical implementation.
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Affiliation(s)
- Barbara Knäusl
- Department of Radiation Oncology, Medical University of Vienna, Vienna, Austria
| | - Gabriele Belotti
- Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milano, Italy
| | - Jenny Bertholet
- Division of Medical Radiation Physics and Department of Radiation Oncology, Inselspital, Bern University Hospital, and University of Bern, Bern, Switzerland
| | - Juliane Daartz
- Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | | | - Mischa Hoogeman
- Department of Medical Physics & Informatics, HollandPTC, Delft, The Netherlands
- Erasmus MC Cancer Institute, University Medical Center Rotterdam, Department of Radiotherapy, Rotterdam, The Netherlands
| | - Antje C Knopf
- Institut für Medizintechnik und Medizininformatik Hochschule für Life Sciences FHNW, Muttenz, Switzerland
| | - Haibo Lin
- New York Proton Center, New York, NY, USA
| | - Astrid Moerman
- Department of Medical Physics & Informatics, HollandPTC, Delft, The Netherlands
| | - Chiara Paganelli
- Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milano, Italy
| | - Antoni Rucinski
- Institute of Nuclear Physics Polish Academy of Sciences, PL-31342 Krakow, Poland
| | - Reinhard Schulte
- Division of Biomedical Engineering Sciences, School of Medicine, Loma Linda University
| | - Shing Shimizu
- Department of Carbon Ion Radiotherapy, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Kristin Stützer
- OncoRay – National Center for Radiation Research in Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
- Helmholtz-Zentrum Dresden – Rossendorf, Institute of Radiooncology – OncoRay, Dresden, Germany
| | - Xiaodong Zhang
- Department of Radiation Physics, Division of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ye Zhang
- Center for Proton Therapy, Paul Scherrer Institute, Villigen PSI, Switzerland
| | - Katarzyna Czerska
- Center for Proton Therapy, Paul Scherrer Institute, Villigen PSI, Switzerland
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10
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Joyce E, Jackson M, Skok J, Rock B, McNair HA. What do we want? Training! When do we want it? Now? A training needs analysis for adaptive radiotherapy for therapeutic radiographers. Radiography (Lond) 2023; 29:818-826. [PMID: 37331130 DOI: 10.1016/j.radi.2023.05.015] [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: 12/06/2022] [Revised: 04/14/2023] [Accepted: 05/24/2023] [Indexed: 06/20/2023]
Abstract
INTRODUCTION Therapeutic radiographers (TRs) have adapted to the changing requirements and demands of the oncology service and in response to advanced techniques such as on-line adaptive MRI-guided radiotherapy (MRIgRT). The skills required for MRIgRT would benefit many TRs not just those involved in this technique. This study presents the results of a training needs analysis (TNA) for the required MRIgRT skills in readiness for training TRs for current and future practice. METHODS A UK-based TNA was used to ask TRs about their knowledge and experience with essential skills required for MRIgRT based on previous investigations into the topic. A five-point Likert scale was used for each of the skills and the difference in values were used to calculate the training need for current and future practice. RESULTS 261 responses were received (n = 261). The skill rated the most important to current practice was CBCT/CT matching and/or fusion. The current highest priority needs were radiotherapy planning and radiotherapy dosimetry. The skill rated the most important to future practice was CBCT/CT matching and/or fusion. The future highest priority needs were MRI acquisition and MRI Contouring. Over 50% of participants wanted training or additional training in all skills. There was an increase in all values for skills investigated from current to future roles. CONCLUSION Although the examined skills were viewed as important to current roles, the future training needs, both overall and high priority, were different compared to current roles. As the 'future' of radiotherapy can arrive rapidly, it is essential that training is delivered appropriately and timely. Before this can occur, there must be investigations into the method and delivery of this training. IMPLICATIONS FOR PRACTICE Role development. Education changes for therapeutic radiographers.
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Affiliation(s)
- E Joyce
- Royal Marsden NHS Foundation Trust, London, UK.
| | - M Jackson
- St George's University of London, UK
| | - J Skok
- St George's University of London, UK
| | - B Rock
- Royal Marsden NHS Foundation Trust, London, UK
| | - H A McNair
- Royal Marsden NHS Foundation Trust, London, UK; Institute of Cancer Research, UK.
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11
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Nousiainen K, Santurio GV, Lundahl N, Cronholm R, Siversson C, Edmund JM. Evaluation of MRI-only based online adaptive radiotherapy of abdominal region on MR-linac. J Appl Clin Med Phys 2023; 24:e13838. [PMID: 36347050 PMCID: PMC10018672 DOI: 10.1002/acm2.13838] [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: 08/04/2021] [Revised: 09/30/2022] [Accepted: 10/18/2022] [Indexed: 11/09/2022] Open
Abstract
PURPOSE A hybrid magnetic resonance linear accelerator (MRL) can perform magnetic resonance imaging (MRI) with high soft-tissue contrast to be used for online adaptive radiotherapy (oART). To obtain electron densities needed for the oART dose calculation, a computed tomography (CT) is often deformably registered to MRI. Our aim was to evaluate an MRI-only based synthetic CT (sCT) generation as an alternative to the deformed CT (dCT)-based oART in the abdominal region. METHODS The study data consisted of 57 patients who were treated on a 0.35 T MRL system mainly for abdominal tumors. Simulation MRI-CT pairs of 43 patients were used for training and validation of a prototype convolutional neural network sCT-generation algorithm, based on HighRes3DNet, for the abdominal region. For remaining test patients, sCT images were produced from simulation MRIs and daily MRIs. The dCT-based plans were re-calculated on sCT with identical calculation parameters. The sCT and dCT were compared in terms of geometric agreement and calculated dose. RESULTS The mean and one standard deviation of the geometric agreement metrics over dCT-sCT-pairs were: mean error of 8 ± 10 HU, mean absolute error of 49 ± 10 HU, and Dice similarity coefficient of 55 ± 12%, 60 ± 5%, and 82 ± 15% for bone, fat, and lung tissues, respectively. The dose differences between the sCT and dCT-based dose for planning target volumes were 0.5 ± 0.9%, 0.6 ± 0.8%, and 0.5 ± 0.8% at D2% , D50% , and D98% in physical dose and 0.8 ± 1.4%, 0.8 ± 1.2%, and 0.6 ± 1.1% in biologically effective dose (BED). For organs-at-risk, the dose differences of all evaluated dose-volume histogram points were within [-4.5%, 7.8%] and [-1.1 Gy, 3.5 Gy] in both physical dose and BED. CONCLUSIONS The geometric agreement metrics were within typically reported values and most average relative dose differences were within 1%. Thus, an MRI-only sCT-based approach is a promising alternative to the current clinical practice of the abdominal oART on MRL.
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Affiliation(s)
- Katri Nousiainen
- Department of Physics, University of Helsinki, Helsinki, Finland.,HUS Cancer Center, Helsinki University Hospital and University of Helsinki, Helsinki, Finland.,HUS Medical Imaging Center, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Grichar Valdes Santurio
- Department of Oncology, Radiotherapy Research Unit, Herlev and Gentofte Hospital, Copenhagen University, Herlev, Denmark
| | | | | | | | - Jens M Edmund
- Department of Oncology, Radiotherapy Research Unit, Herlev and Gentofte Hospital, Copenhagen University, Herlev, Denmark.,Nils Bohr Institute, Copenhagen University, Copenhagen, Denmark
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12
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Poon DMC, Yang B, Geng H, Wong OL, Chiu ST, Cheung KY, Yu SK, Chiu G, Yuan J. Analysis of online plan adaptation for 1.5T magnetic resonance-guided stereotactic body radiotherapy (MRgSBRT) of prostate cancer. J Cancer Res Clin Oncol 2023; 149:841-850. [PMID: 35199189 PMCID: PMC8866042 DOI: 10.1007/s00432-022-03950-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Accepted: 02/06/2022] [Indexed: 12/11/2022]
Abstract
PURPOSE To analyze and characterize the online plan adaptation of 1.5T magnetic resonance-guided stereotactic body radiotherapy (MRgSBRT) of prostate cancer (PC). METHODS PC patients (n = 107) who received adaptive 1.5 Tesla MRgSBRT were included. Online plan adaptation was implemented by either the adapt-to-position (ATP) or adapt-to-shape (ATS) methods. Patients were assigned to the ATS group if they underwent ≥ 1 ATS fraction (n = 51); the remainder were assigned to the ATP group (n = 56). The online plan adaptation records of 535 (107 × 5) fractions were retrospectively reviewed. Rationales for ATS decision-making were determined and analyzed using predefined criteria. Statistics of ATS fractions were summarized. Associations of patient characteristics and clinical factors with ATS utilization were investigated. RESULTS There were 87 (16.3%) ATS fractions and 448 ATP fractions (83.7%). The numbers of ATS adoptions in fractions 1-5 were 29 (29/107, 27.1%), 18 (16.8%), 15 (14.0%), 16 (15.0%), and 9 (8.4%), respectively, with significant differences in adoption frequency between fractions (p = 0.007). Other baseline patient characteristics and clinical factors were not significantly associated with ATS classification (all p > 0.05). Underlying criteria for the determination of ATS implementation comprised anatomical changes (77 fractions in 50 patients) and discrete multiple targets (15 fractions in 3 patients). No ATS utilization was determined using dosimetric or online quality assurance criteria. CONCLUSIONS This study contributes to facilitating the establishment of a standardized protocol for online MR-guided adaptive radiotherapy in PC.
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Affiliation(s)
- Darren M. C. Poon
- grid.414329.90000 0004 1764 7097Comprehensive Oncology Centre, Hong Kong Sanatorium and Hospital, Happy Valley, Hong Kong, Hong Kong SAR China
| | - Bin Yang
- grid.414329.90000 0004 1764 7097Medical Physics Department, Hong Kong Sanatorium and Hospital, Happy Valley, Hong Kong, Hong Kong SAR China
| | - Hui Geng
- grid.414329.90000 0004 1764 7097Medical Physics Department, Hong Kong Sanatorium and Hospital, Happy Valley, Hong Kong, Hong Kong SAR China
| | - Oi Lei Wong
- grid.414329.90000 0004 1764 7097Research Department, Hong Kong Sanatorium and Hospital, Happy Valley, Hong Kong, Hong Kong SAR China
| | - Sin Ting Chiu
- grid.414329.90000 0004 1764 7097Department of Radiotherapy, Hong Kong Sanatorium and Hospital, Happy Valley, Hong Kong, Hong Kong SAR China
| | - Kin Yin Cheung
- grid.414329.90000 0004 1764 7097Medical Physics Department, Hong Kong Sanatorium and Hospital, Happy Valley, Hong Kong, Hong Kong SAR China
| | - Siu Ki Yu
- grid.414329.90000 0004 1764 7097Medical Physics Department, Hong Kong Sanatorium and Hospital, Happy Valley, Hong Kong, Hong Kong SAR China
| | - George Chiu
- grid.414329.90000 0004 1764 7097Department of Radiotherapy, Hong Kong Sanatorium and Hospital, Happy Valley, Hong Kong, Hong Kong SAR China
| | - Jing Yuan
- grid.414329.90000 0004 1764 7097Research Department, Hong Kong Sanatorium and Hospital, Happy Valley, Hong Kong, Hong Kong SAR China
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13
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Joyce E, Jackson M, Skok J, Peet B, McNair HA. Images and images: Current roles of therapeutic radiographers. Radiography (Lond) 2022; 28:1093-1100. [PMID: 36054937 DOI: 10.1016/j.radi.2022.07.016] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Revised: 07/26/2022] [Accepted: 07/31/2022] [Indexed: 11/25/2022]
Abstract
INTRODUCTION Therapeutic radiography is a small profession and has adapted in response to advanced techniques. An increase in on-line adaptive MRI-guided radiotherapy (MRIgRT) will require role extension for therapeutic radiographers (TRs). This study will investigate the current role description for TRs and the activities they currently undertake with regards to MRIgRT. METHOD A training needs analysis was used to ask TRs about their current roles and responsibilities and essential skills required for MRIgRT. For the purposes of this paper, the authors present the results from the demographics of the individual, their current job title with roles and responsibilities, and experience with decision making and image assessment. Descriptive statistics was used to analyse the data. RESULTS 261 responses were received (n = 261). Only 28% of job titles listed contained the protected title of 'therapeutic radiographer'. Advanced clinical practice roles were expressed by participants indicating that if a service need is presented, emerging roles will be created. Variation existed across the standardised roles of TRs and this discrepancy could present challenges when training for MRIgRT. TRs are pivotal in image verification and recognition on a standard linac, and skills developed there can be transferred to MRIgRT. Decision making is crucial for adaptive techniques and there are many skills within their current scope of practice that are indispensable for the MRIgRT. CONCLUSION It has been demonstrated that TRs have a range of roles that cover vast areas of the oncology pathway and so it is important that TRs are recognised so the pivotal role they play is understood by all. TRs have extensive soft-tissue IGRT knowledge and experience, aiding the evolution of decision-making skills and application of off-protocol judgments, the basis of MRIgRT. IMPLICATIONS FOR PRACTICE Role development and changes in education for therapeutic radiographers.
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Affiliation(s)
- E Joyce
- Royal Marsden NHS Foundation Trust, UK
| | - M Jackson
- St George's University of London, UK
| | - J Skok
- St George's University of London, UK
| | - B Peet
- Royal Marsden NHS Foundation Trust, UK
| | - H A McNair
- Royal Marsden NHS Foundation Trust, UK; Institute of Cancer Research, UK.
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14
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Shepherd M, Graham S, Ward A, Zwart L, Cai B, Shelley C, Booth J. Pathway for radiation therapists online advanced adapter training and credentialing. Tech Innov Patient Support Radiat Oncol 2021; 20:54-60. [PMID: 34917781 PMCID: PMC8665404 DOI: 10.1016/j.tipsro.2021.11.001] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Revised: 10/15/2021] [Accepted: 11/02/2021] [Indexed: 11/30/2022] Open
Abstract
Online Adaptive Radiation Therapy (oART) provides a solution to account for daily patient variations, but wide spread implementation is hindered by human resources and training. Physicians can mentor Radiation Therapists (RTTs) through traditional tasks such as contouring and plan approval. With evidence-based credentialing activities, decision support aids and ‘on-call’ caveats, RTTs can lead the oART workflow and a ‘Clinician-Lite’ approach. Compliance with legislative, regulatory and medico-legal governing bodies can be addressed through post-graduate study, advanced practice pathways, exemptions and delegation of task.
Online adaptive radiotherapy (oART) is an emerging advanced treatment option for cancer patients worldwide. Current oART practices using magnetic resonance (MR) and cone beam computed tomography (CBCT) based imaging are resource intensive and require physician presence, which is a barrier to widespread implementation. Global evidence demonstrates Radiation Therapists (RTTs) can lead the oART workflow with decision support tools and on ‘on-call’ caveats in a ‘clinician-lite’ approach without significantly compromising on treatment accuracy, speed or patient outcomes. With careful consideration of jurisdictional regulations and guidance from the multi-disciplinary team, RTTs can elevate beyond traditional scopes of practice. By implementing robust and evidence-based credentialing activities, they enable service sustainability and expand the real-world gains of adaptive radiotherapy to a greater number of cancer patients worldwide. This work summarises the evidence for RTT-led oART treatments and proposes a pathway for training and credentialing.
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Affiliation(s)
- Meegan Shepherd
- Northern Sydney Cancer Centre, Royal North Shore Hospital, Reserve Rd, St Leonard, NSW 2065, Australia
| | - Siobhan Graham
- Queen's Hospital, BHRUT NHS Trust, Rom Valley Way, Romford RM1 0AG, UK
| | - Amy Ward
- Queen's Hospital, BHRUT NHS Trust, Rom Valley Way, Romford RM1 0AG, UK
| | - Lissane Zwart
- Medisch Spectrum Twente (MST), Koningstraat 1, 7512 KZ Enschede, Netherlands
| | - Bin Cai
- UT Southwestern Medical Center, Harry Hines Blvd, Dallas, TX 75390, USA
| | | | - Jeremy Booth
- Northern Sydney Cancer Centre, Royal North Shore Hospital, Reserve Rd, St Leonard, NSW 2065, Australia.,Institute of Medical Physics, School of Physics, University of Sydney, Camperdown, NSW 2004, Australia
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15
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McNair HA, Joyce E, O'Gara G, Jackson M, Peet B, Huddart RA, Wiseman T. Radiographer-led online image guided adaptive radiotherapy: A qualitative investigation of the therapeutic radiographer role. Radiography (Lond) 2021; 27:1085-1093. [PMID: 34006442 PMCID: PMC8497277 DOI: 10.1016/j.radi.2021.04.012] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2021] [Revised: 04/06/2021] [Accepted: 04/25/2021] [Indexed: 10/25/2022]
Abstract
INTRODUCTION Online MRI guided adaptive radiotherapy (MRIgRT) is resource intensive. To maintain and increase uptake traditional roles and responsibilities may need refining. This novel study aims to provide an in-depth understanding and subsequent impact of the roles required to deliver on-line adaptive MRIgRT by exploring the current skills and knowledge of radiographers. METHOD A purposive sampling approach was used to invite radiographers, clinicians and physicists from centres with experience of MRIgRT to participate. Focus Group Interviews were conducted with two facilitators using a semi-structure interview guide (Appendix 1). Four researchers independently familiarised themselves and coded the data using framework analysis. A consensus thematic framework of ptive Radiotherapy codes and categories was agreed and systematically applied. RESULTS Thirty participants took part (Radiographers: N = 18, Physicists: N = 9 and Clinicians: N = 3). Three key themes were identified: 'Current MRIgRT', 'Training' and 'Future Practice'. Current MRIgRT identified a variation in radiographers' roles and responsibilities with pathways ranging from radiographer-led, clinician-light-led and MDT-led. The consensus was to move towards radiographer-led with the need to have a robust on-call service heavily emphasised. Training highlighted the breadth of knowledge required by radiographers including MRI, contouring, planning and dosimetry, and treatment experience. Debate was presented over timing and length of training required. Future Practice identified the need to have radiographers solely deliver MRIgRT, to reduce staff present which was seen as a main driver, and time and resources to train radiographers seen as the main barriers. CONCLUSION Radiographer-led MRIgRT is an exciting development because of the potential radiographer role development. A national training framework created collaboratively with all stakeholders and professions involved would ensure consistency in skills and knowledge. IMPLICATIONS FOR PRACTICE Role development and changes in education for therapeutic radiographers.
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Affiliation(s)
- H A McNair
- Royal Marsden NHS Foundation Trust, United Kingdom; Institute of Cancer Research, United Kingdom.
| | - E Joyce
- Royal Marsden NHS Foundation Trust, United Kingdom
| | - G O'Gara
- Royal Marsden NHS Foundation Trust, United Kingdom
| | - M Jackson
- St George's University of London, United Kingdom
| | - B Peet
- Royal Marsden NHS Foundation Trust, United Kingdom
| | - R A Huddart
- Institute of Cancer Research, United Kingdom
| | - T Wiseman
- Royal Marsden NHS Foundation Trust, United Kingdom
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16
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Feasibility of Conebeam CT-based online adaptive radiotherapy for neoadjuvant treatment of rectal cancer. Radiat Oncol 2021; 16:136. [PMID: 34301300 PMCID: PMC8305875 DOI: 10.1186/s13014-021-01866-7] [Citation(s) in RCA: 50] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Accepted: 07/16/2021] [Indexed: 11/23/2022] Open
Abstract
Background Online adaptive radiotherapy has the potential to reduce toxicity for patients treated for rectal cancer because smaller planning target volumes (PTV) margins around the entire clinical target volume (CTV) are required. The aim of this study is to describe the first clinical experience of a Conebeam CT (CBCT)-based online adaptive workflow for rectal cancer, evaluating timing of different steps in the workflow, plan quality, target coverage and patient compliance. Methods Twelve consecutive patients eligible for 5 × 5 Gy pre-operative radiotherapy were treated on a ring-based linear accelerator with a multidisciplinary team present at the treatment machine for each fraction. The accelerator is operated using an integrated software platform for both treatment planning and delivery. In all directions for all CTVs a PTV margin of 5 mm was used, except for the cranial/caudal borders of the total CTV where a margin of 8 mm was applied. A reference plan was generated based on a single planning CT. After aligning the patient the online adaptive procedure started with acquisition of a CBCT. The planning CT scan was registered to the CBCT using deformable registration and a synthetic CT scan was generated. With the support of artificial intelligence, structure guided deformation and the synthetic CT scan contours were adapted by the system to match the anatomy on the CBCT. If necessary, these contours were adjusted before a new plan was generated. A second and third CBCT were acquired to validate the new plan with respect to CTV coverage just before and after treatment delivery, respectively. Treatment was delivered using volumetric modulated arc treatment (VMAT). All steps in this process were defined and timed. Results On average the timeslot needed at the treatment machine was 34 min. The process of acquiring a CBCT, evaluating and adjusting the contours, creating the new plan and verifying the CTV on the CBCT scan took on average 20 min. Including delivery and post treatment verification this was 26 min. Manual adjustments of the target volumes were necessary in 50% of fractions. Plan quality, target coverage and patient compliance were excellent. Conclusions First clinical experience with CBCT-based online adaptive radiotherapy shows it is feasible for rectal cancer. Trial registration Medical Research Involving Human Subjects Act (WMO) does not apply to this study and was retrospectively approved by the Medical Ethics review Committee of the Academic Medical Center (W21_087 # 21.097; Amsterdam University Medical Centers, Location Academic Medical Center, Amsterdam, The Netherlands). Supplementary Information The online version contains supplementary material available at 10.1186/s13014-021-01866-7.
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Vidal M, Moignier C, Patriarca A, Sotiropoulos M, Schneider T, De Marzi L. Future technological developments in proton therapy - A predicted technological breakthrough. Cancer Radiother 2021; 25:554-564. [PMID: 34272182 DOI: 10.1016/j.canrad.2021.06.017] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Accepted: 06/18/2021] [Indexed: 12/13/2022]
Abstract
In the current spectrum of cancer treatments, despite high costs, a lack of robust evidence based on clinical outcomes or technical and radiobiological uncertainties, particle therapy and in particular proton therapy (PT) is rapidly growing. Despite proton therapy being more than fifty years old (first proposed by Wilson in 1946) and more than 220,000 patients having been treated with in 2020, many technological challenges remain and numerous new technical developments that must be integrated into existing systems. This article presents an overview of on-going technical developments and innovations that we felt were most important today, as well as those that have the potential to significantly shape the future of proton therapy. Indeed, efforts have been done continuously to improve the efficiency of a PT system, in terms of cost, technology and delivery technics, and a number of different developments pursued in the accelerator field will first be presented. Significant developments are also underway in terms of transport and spatial resolution achievable with pencil beam scanning, or conformation of the dose to the target: we will therefore discuss beam focusing and collimation issues which are important parameters for the development of these techniques, as well as proton arc therapy. State of the art and alternative approaches to adaptive PT and the future of adaptive PT will finally be reviewed. Through these overviews, we will finally see how advances in these different areas will allow the potential for robust dose shaping in proton therapy to be maximised, probably foreshadowing a future era of maturity for the PT technique.
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Affiliation(s)
- M Vidal
- Centre Antoine-Lacassagne, Fédération Claude Lalanne, 227, avenue de la Lanterne, 06200 Nice, France
| | - C Moignier
- Centre François Baclesse, Department of Medical Physics, Centre de protonthérapie de Normandie, 14000 Caen, France
| | - A Patriarca
- Institut Curie, PSL Research University, Radiation oncology department, Centre de protonthérapie d'Orsay, Campus universitaire, bâtiment 101, 91898 Orsay, France
| | - M Sotiropoulos
- Institut Curie, Université PSL, CNRS UMR3347, Inserm U1021, Signalisation radiobiologie et cancer, 91400 Orsay, France
| | - T Schneider
- Institut Curie, Université PSL, CNRS UMR3347, Inserm U1021, Signalisation radiobiologie et cancer, 91400 Orsay, France
| | - L De Marzi
- Institut Curie, PSL Research University, Radiation oncology department, Centre de protonthérapie d'Orsay, Campus universitaire, bâtiment 101, 91898 Orsay, France; Institut Curie, PSL Research University, University Paris Saclay, Inserm LITO, Campus universitaire, 91898 Orsay, France.
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Bertholet J, Vinogradskiy Y, Hu Y, Carlson DJ. Advances in Image-Guided Adaptive Radiation Therapy. Int J Radiat Oncol Biol Phys 2021; 110:625-628. [PMID: 34089669 DOI: 10.1016/j.ijrobp.2021.02.047] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Affiliation(s)
- Jenny Bertholet
- Division of Medical Radiation Physics, Department of Radiation Oncology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Yevgeniy Vinogradskiy
- Department of Radiation Oncology, University of Colorado School of Medicine, Aurora, Colorado
| | - Yanle Hu
- Department of Radiation Oncology, Mayo Clinic Arizona, Phoenix, Arizona
| | - David J Carlson
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, Pennsylvania.
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Corradini S, Alongi F, Andratschke N, Azria D, Bohoudi O, Boldrini L, Bruynzeel A, Hörner-Rieber J, Jürgenliemk-Schulz I, Lagerwaard F, McNair H, Raaymakers B, Schytte T, Tree A, Valentini V, Wilke L, Zips D, Belka C. ESTRO-ACROP recommendations on the clinical implementation of hybrid MR-linac systems in radiation oncology. Radiother Oncol 2021; 159:146-154. [PMID: 33775715 DOI: 10.1016/j.radonc.2021.03.025] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2021] [Accepted: 03/17/2021] [Indexed: 01/11/2023]
Abstract
Online magnetic resonance-guided radiotherapy (oMRgRT) represents one of the most innovative applications of current image-guided radiation therapy (IGRT). The revolutionary concept of oMRgRT systems is the ability to acquire MR images for adaptive treatment planning and also online imaging during treatment delivery. The daily adaptive planning strategies allow to improve targeting accuracy while avoiding critical structures. This ESTRO-ACROP recommendation aims to provide an overview of available systems and guidance for best practice in the implementation phase of hybrid MR-linac systems. Unlike the implementation of other radiotherapy techniques, oMRgRT adds the MR environment to the daily practice of radiotherapy, which might be a new experience for many centers. New issues and challenges that need to be thoroughly explored before starting clinical treatments will be highlighted.
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Affiliation(s)
- Stefanie Corradini
- Department of Radiation Oncology, University Hospital, LMU Munich, Germany.
| | - Filippo Alongi
- Department of Advanced Radiation Oncology, IRCCS Sacro Cuore Don Calabria Hospital, Negrar-Verona, Italy, University of Brescia, Italy
| | - Nicolaus Andratschke
- Department of Radiation Oncology, University Hospital of Zurich, University of Zurich, Switzerland
| | - David Azria
- Department of Radiation Oncology, University Federation of Radiation Oncology Montpellier-Nîmes, ICM, Montpellier Cancer Institute, University of Montpellier, INSERM U1194, France
| | - Omar Bohoudi
- Department of Radiation Oncology, Amsterdam University Medical Center, location de Boelelaan, The Netherlands
| | - Luca Boldrini
- Department of Bioimaging, Radiation Oncology and Hematology, Fondazione Policlinico Universitario "A. Gemelli" IRCCS, Roma, Italy
| | - Anna Bruynzeel
- Department of Radiation Oncology, Amsterdam University Medical Center, location de Boelelaan, The Netherlands
| | - Juliane Hörner-Rieber
- Department of Radiation Oncology, University of Heidelberg, Heidelberg, Germany, Clinical Cooperation Unit Radiation Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | | | - Frank Lagerwaard
- Department of Radiation Oncology, Amsterdam University Medical Center, location de Boelelaan, The Netherlands
| | - Helen McNair
- The Royal Marsden NHS Foundation Trust and the Institute of Cancer Research, London, United Kingdom
| | - Bas Raaymakers
- Department of Radiation Oncology, University Medical Center Utrecht, The Netherlands
| | - Tine Schytte
- Department of Oncology, Odense University Hospital, Odense, Denmark, Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Alison Tree
- The Royal Marsden NHS Foundation Trust and the Institute of Cancer Research, London, United Kingdom
| | - Vincenzo Valentini
- Department of Bioimaging, Radiation Oncology and Hematology, Fondazione Policlinico Universitario "A. Gemelli" IRCCS, Roma, Italy
| | - Lotte Wilke
- Department of Radiation Oncology, University Hospital of Zurich, University of Zurich, Switzerland
| | - Daniel Zips
- Department of Radiation Oncology, University of Tübingen, Germany
| | - Claus Belka
- Department of Radiation Oncology, University Hospital, LMU Munich, Germany
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