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Hooshangnejad H, Lee J, Bell L, Hales RK, Voong KR, Han‐Oh S, Ding K, Farjam R. Quantitative beam optimization for radiotherapy of peripheral lung lesions: A pilot study in stereotactic body radiotherapy. J Appl Clin Med Phys 2025; 26:e70029. [PMID: 39985560 PMCID: PMC11969078 DOI: 10.1002/acm2.70029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2024] [Revised: 12/16/2024] [Accepted: 01/01/2025] [Indexed: 02/24/2025] Open
Abstract
BACKGROUND To quantify beam optimization for stereotactic body radiotherapy (SBRT) of peripheral lung lesions. METHOD The new beam optimization approach was based on maximizing the therapeutic gain (TG) of the beam set by minimizing the average physical depth of the lesion with respect to the beam's eye view (BEV). The new approach was evaluated by replanning the 25 SBRT lesions retrospectively to assess if a better plan is achievable in all aspects. Difference in 25 Gy isodose line volume (IDLV25 Gy), IDLV20 Gy, IDLV15 Gy, IDLV10 Gy, and IDLV5 Gy between the two plan cohorts were calculated as a measure of plan size and fitted in a linear regression model against the changes in the lesion depth with respect to the BEV to assess the relationship between the changes in the treatment depth and that of the plan size. RESULTS Beam optimization achieved a better plan in all cases by lowering the depth of treatment with an average of % 20.03 ± 12.30 (3.66%-45.78%). As the depth of treatment decreases, the size of the plan also decreases. We observed a reduction of % 4.64 ± 4.55 (0.02%-21.58%, p < 3.8 × 10-5), %5.16 ± 5.54 (0.03%-24.68%, p < 0.005), %6.46 ± 6.95 (-1.35%-29.05%, p < 0.009), %12.83 ± 9.06 (0.89%-37.65%, p < 0.0001), and %14.01 ± 9.87 (1.43%-41.84%, p < 4.5 × 10-6) in IDLV25 Gy, IDLV20 Gy, IDLV15 Gy, IDLV10 Gy, and IDLV5 Gy, respectively. CONCLUSION Physical depth of the lesion with respect to the BEV is inversely proportional to the TG of a beam-set and can be used as a robust and standard metric to select an appropriate beam-set for SBRT of the peripheral lung lesions. Further evaluation warrants the utility of such concept in routine clinical use.
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Affiliation(s)
- Hamed Hooshangnejad
- Department of Biomedical EngineeringJohns Hopkins UniversityBaltimoreMarylandUSA
- Carnegie Center for Surgical InnovationJohns Hopkins UniversityBaltimoreMarylandUSA
- Department of Radiation Oncology and Molecular SciencesJohns Hopkins UniversityBaltimoreMarylandUSA
| | - Jina Lee
- Department of Radiation Oncology and Molecular SciencesJohns Hopkins UniversityBaltimoreMarylandUSA
| | - Leslie Bell
- Department of Radiation Oncology and Molecular SciencesJohns Hopkins UniversityBaltimoreMarylandUSA
| | - Russell K. Hales
- Department of Radiation Oncology and Molecular SciencesJohns Hopkins UniversityBaltimoreMarylandUSA
| | - Khinh Ranh Voong
- Department of Radiation Oncology and Molecular SciencesJohns Hopkins UniversityBaltimoreMarylandUSA
| | - Sarah Han‐Oh
- Department of Radiation Oncology and Molecular SciencesJohns Hopkins UniversityBaltimoreMarylandUSA
| | - Kai Ding
- Carnegie Center for Surgical InnovationJohns Hopkins UniversityBaltimoreMarylandUSA
- Department of Radiation Oncology and Molecular SciencesJohns Hopkins UniversityBaltimoreMarylandUSA
| | - Reza Farjam
- Department of Radiation Oncology and Molecular SciencesJohns Hopkins UniversityBaltimoreMarylandUSA
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Ma Q, Mu D, Zhang R, Liu Z, Wan L, Liu Y, Qiu A, Yang Z, Xie Q. Development and evaluation of an in-beam PET system for proton therapy monitoring. Phys Med Biol 2025; 70:025019. [PMID: 39761626 DOI: 10.1088/1361-6560/ada681] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2024] [Accepted: 01/06/2025] [Indexed: 01/21/2025]
Abstract
Objective. In-beam positron emission tomography (PET) has important development prospects in real-time monitoring of proton therapy. However, in the beam-on operation, the high bursts of radiation events pose challenges to the performance of the PET system.Approach. In this study, we developed a dual-head in-beam PET system for proton therapy monitoring and evaluated its performance. The system has two PET detection heads, each with6×3Plug&Imaging (PnI) detection units. Each PnI unit consists of6×6lutetium-yttrium oxyorthosilicate crystal arrays. The size of each crystal strip is3.95×3.95×20 mm3, which is one-to-one coupled with a silicon photomultiplier. The overall size of the head is15.3×7.65 cm2.Main results. The in-beam PET system achieved a single count rate of 48 Mcps at the activity of 144.9 MBq, an absolute sensitivity of 2.717%, and a spatial resolution of approximately 2.6 mm (full width at half maximum) at the center of the field-of-view. When imaging a Derenzo phantom, the system could resolve rods with a diameter of 2.0 mm. Time-dynamic [18F]-Fluorodeoxyglucose mouse imaging was performed, demonstrating the metabolic processes in the mouse. This shows that the in-beam PET system has the potential for biology-guided proton therapy. The in-beam PET system was used to monitor the range of a 130 MeV proton beam irradiating a polymethyl methacrylate (PMMA) phantom, with a beam intensity of6.0×109p s-1and an irradiation duration of one minute. PET data were acquired only during the one-minute irradiation. We simulated the range shift by moving the PMMA and adding an air gap, showing that the error between the actual and the measured range is less than 1 mm.Significance. The results demonstrate that the system has a high count rate and the capability of range monitoring in beam-on operation, which is beneficial for achieving real-time range verification of proton beams in the future.
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Affiliation(s)
- Qiuhui Ma
- The School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, People's Republic of China
| | - Dengyun Mu
- The Department of Biomedical Engineering, Huazhong University of Science and Technology, Wuhan, People's Republic of China
| | - Ruilin Zhang
- The Department of Biomedical Engineering, Huazhong University of Science and Technology, Wuhan, People's Republic of China
| | - Zixiao Liu
- The School of Software Engineering, Huazhong University of Science and Technology, Wuhan, People's Republic of China
| | - Lin Wan
- The School of Software Engineering, Huazhong University of Science and Technology, Wuhan, People's Republic of China
| | - Yang Liu
- Wuhan National Laboratory for Optoelectronics, Wuhan, People's Republic of China
| | - Ao Qiu
- The Department of Biomedical Engineering, Huazhong University of Science and Technology, Wuhan, People's Republic of China
| | - Zhiyong Yang
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China
- Hubei Key Laboratory of Precision Radiation Oncology, Wuhan, People's Republic of China
- Institute of Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China
| | - Qingguo Xie
- The Department of Biomedical Engineering, Huazhong University of Science and Technology, Wuhan, People's Republic of China
- Wuhan National Laboratory for Optoelectronics, Wuhan, People's Republic of China
- The Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, People's Republic of China
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Mastella E, Calderoni F, Manco L, Ferioli M, Medoro S, Turra A, Giganti M, Stefanelli A. A systematic review of the role of artificial intelligence in automating computed tomography-based adaptive radiotherapy for head and neck cancer. Phys Imaging Radiat Oncol 2025; 33:100731. [PMID: 40026912 PMCID: PMC11871500 DOI: 10.1016/j.phro.2025.100731] [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: 10/07/2024] [Revised: 01/10/2025] [Accepted: 02/12/2025] [Indexed: 03/05/2025] Open
Abstract
Purpose Adaptive radiotherapy (ART) may improve treatment quality by monitoring variations in patient anatomy and incorporating them into the treatment plan. This systematic review investigated the role of artificial intelligence (AI) in computed tomography (CT)-based ART for head and neck (H&N) cancer. Methods A comprehensive search of main electronic databases was conducted until April 2024. Titles and abstracts were reviewed to evaluate the compliance with inclusion criteria: CT-based imaging for photon ART of H&N patients and AI applications. 17 original retrospective studies with samples sizes ranging from 37 to 239 patients were included. The quality of the studies was evaluated with the Quality Assessment of Diagnostic Accuracy Studies-2 and the Checklist for Artificial Intelligence in Medical Imaging (CLAIM) tools. Key metrics were examined to evaluate the performances of the proposed AI-methods. Results Overall, the risk of bias was low. The average CLAIM score was 70%. A major finding was that generated synthetic CTs improved similarity metrics with planning CT compared to original cone-beam CTs, with average mean absolute error up to 39 HU and maximum improvement of 80%. Auto-segmentation provided an efficient and accurate option for organ-at-risk delineation, with average Dice similarity coefficient ranging from 80 to 87%. Finally, AI models could be trained using clinical and radiomic features to predict the effectiveness of ART with accuracy above 80%. Conclusions Automation of processes in ART for H&N cancer is very promising throughout the entire chain, from the generation of synthetic CTs and auto-segmentation to predict the effectiveness of ART.
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Affiliation(s)
- Edoardo Mastella
- Medical Physics Unit, University Hospital of Ferrara I-44124 Cona, Ferrara, Italy
| | - Francesca Calderoni
- Medical Physics Unit, University Hospital of Ferrara I-44124 Cona, Ferrara, Italy
| | - Luigi Manco
- Medical Physics Unit, University Hospital of Ferrara I-44124 Cona, Ferrara, Italy
- Medical Physics Unit, Azienda USL di Ferrara I-44121 Ferrara, Italy
| | - Martina Ferioli
- Radiation Oncology Unit, University Hospital of Ferrara I-44124 Cona, Ferrara, Italy
| | - Serena Medoro
- Radiation Oncology Unit, University Hospital of Ferrara I-44124 Cona, Ferrara, Italy
| | - Alessandro Turra
- Medical Physics Unit, University Hospital of Ferrara I-44124 Cona, Ferrara, Italy
| | - Melchiore Giganti
- University Radiology Unit, University of Ferrara I-44121 Ferrara, Italy
| | - Antonio Stefanelli
- Radiation Oncology Unit, University Hospital of Ferrara I-44124 Cona, Ferrara, Italy
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Yu J, Tang X, Lei Y, Zhang Z, Li B, Bai H, Li L. A review on functional lung avoidance radiotherapy plan for lung cancer. Front Oncol 2024; 14:1429837. [PMID: 39703855 PMCID: PMC11656049 DOI: 10.3389/fonc.2024.1429837] [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: 05/08/2024] [Accepted: 11/11/2024] [Indexed: 12/21/2024] Open
Abstract
Lung cancer is the most common malignant tumor in China. Its incidence and mortality rate increase year by year. In the synthesis treatment of lung cancer, radiotherapy (RT) plays a vital role, and radiation-induced lung injury(RILI) has become the major limiting factor in prescription dose escalation. Conventional RT is designed to minimize radiation exposure to healthy lungs without considering the inhomogeneity of lung function, which is significantly non-uniform in most patients. In accordance with the functional and structural heterogeneity of lung tissue, functional lung avoidance RT (FLART) can reduce radiation exposure to functional lung (FL), thus reducing RILI. Meanwhile, a dose-function histogram (DFH) was proposed to describe the dose parameters of the optimized image-guided RT plan. This paper reviews lung function imaging for lung cancer RT plans. It also reviews the clinical applications of function-guided RT plans and their current problems and research directions to provide better guidance for clinical selection.
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Affiliation(s)
- Jinhui Yu
- The Third Affiliated Hospital of Kunming Medical University, Kunming Medical University, Kunming, Yunnan, China
| | - Xiaofeng Tang
- Department of Radiation Oncology, The Third Affiliated Hospital of Kunming Medical University, Yunnan Tumor Hospital, Kunming, Yunnan, China
| | - Yifan Lei
- The Third Affiliated Hospital of Kunming Medical University, Kunming Medical University, Kunming, Yunnan, China
| | - Zhe Zhang
- The Third Affiliated Hospital of Kunming Medical University, Kunming Medical University, Kunming, Yunnan, China
| | - Bo Li
- The Third Affiliated Hospital of Kunming Medical University, Kunming Medical University, Kunming, Yunnan, China
| | - Han Bai
- Department of Radiation Oncology, The Third Affiliated Hospital of Kunming Medical University, Yunnan Tumor Hospital, Kunming, Yunnan, China
- Department of Physics and Astronomy, Yunnan University, Kunming, Yunnan, China
| | - Lan Li
- Department of Radiation Oncology, The Third Affiliated Hospital of Kunming Medical University, Yunnan Tumor Hospital, Kunming, Yunnan, China
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Sarma G, Medhi PP, Kashyap H, Sharma SB, Kalita R, Lahkar D. Understanding Biologically Guided Radiotherapy: Essential Insights for Surgical Oncologists. Indian J Surg Oncol 2024; 15:599-605. [PMID: 39995527 PMCID: PMC11846787 DOI: 10.1007/s13193-024-02070-1] [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: 07/19/2024] [Accepted: 08/14/2024] [Indexed: 02/26/2025] Open
Abstract
The technology in the radiotherapy field is approaching a new evolution day by day. The image-guided radiotherapy (IGRT) approach has changed the radiotherapy treatment workflow scenario. The image acquired before radiotherapy treatment helps minimize uncertainty in target positioning for accurate radiation delivery. Biologically guided radiotherapy (BgRT) is a new approach in radiotherapy through the IGRT modality to track the target with the help of radiopharmaceuticals. It acquires the image through PET-CT and attaches it to a linear accelerator before treatment to verify the target volume. BgRT, a pioneering technology, stands out with its unique ability to adapt dose delivery based on biological features, which sets it apart from conventional IGRT. By utilizing PET detection, BgRT can rapidly adjust the position of the linear accelerator to accommodate target motion, enabling precise dose delivery while sparing surrounding normal tissues. This represents a significant advancement, allowing for real-time tracking and adjusting radiation doses according to biological changes within the tumor. Additionally, a single tracer injection and a single treatment plan can effectively target multiple metastatic lesions, streamlining the treatment process. However, due to radioactive tracer uptake, BgRT is more suitable for hypo-fractionated or stereotactic treatments than conventional fractionation. This article provides an overview of the technological advancements of BgRT and their clinical implications in modern radiation oncology.
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Affiliation(s)
- Gautam Sarma
- Department of Radiation Oncology, All India Institute of Medical Sciences Guwahati, Changsari, Assam-781101 India
| | - Partha Pratim Medhi
- Department of Radiation Oncology, All India Institute of Medical Sciences Guwahati, Changsari, Assam-781101 India
| | - Hrishikesh Kashyap
- Department of Radiation Oncology, All India Institute of Medical Sciences Guwahati, Changsari, Assam-781101 India
| | - Shashi Bhushan Sharma
- Department of Radiation Oncology, All India Institute of Medical Sciences Guwahati, Changsari, Assam-781101 India
| | - Rupam Kalita
- Department of Radiation Oncology, All India Institute of Medical Sciences Guwahati, Changsari, Assam-781101 India
| | - Dhanjit Lahkar
- Department of Radiation Oncology, All India Institute of Medical Sciences Guwahati, Changsari, Assam-781101 India
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Mirshahvalad SA, Farag A, Thiessen J, Wong R, Veit-Haibach P. Current Applications of PET/MR: Part I: Technical Basics and Preclinical/Clinical Applications. Can Assoc Radiol J 2024; 75:815-825. [PMID: 38813998 DOI: 10.1177/08465371241255903] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/31/2024] Open
Abstract
Positron emission tomography/magnetic resonance (PET/MR) imaging has gone through major hardware improvements in recent years, making it a reliable state-of-the-art hybrid modality in clinical practice. At the same time, image reconstruction, attenuation correction, and motion correction algorithms have significantly evolved to provide high-quality images. Part I of the current review discusses technical basics, pre-clinical applications, and clinical applications of PET/MR in radiation oncology and head and neck imaging. PET/MR offers a broad range of advantages in preclinical and clinical imaging. In the preclinic, small and large animal-dedicated devices were developed, making PET/MR capable of delivering new insight into animal models in diseases and facilitating the development of methods that inform clinical PET/MR. Regarding PET/MR's clinical applications in radiation medicine, PET and MR already play crucial roles in the radiotherapy process. Their combination is particularly significant as it can provide molecular and morphological characteristics that are not achievable with other modalities. In addition, the integration of PET/MR information for therapy planning with linear accelerators is expected to provide potentially unique biomarkers for treatment guidance. Furthermore, in clinical applications in the head and neck region, it has been shown that PET/MR can be an accurate modality in head and neck malignancies for staging and resectability assessment. Also, it can play a crucial role in diagnosing residual or recurrent diseases, reliably distinguishing from oedema and fibrosis. PET/MR can furthermore help with tumour characterization and patient prognostication. Lastly, in head and neck carcinoma of unknown origin, PET/MR, with its diagnostic potential, may obviate multiple imaging sessions in the near future.
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Affiliation(s)
- Seyed Ali Mirshahvalad
- University Medical Imaging Toronto, Toronto Joint Department Medical Imaging, University Health Network, Sinai Health System, Women's College Hospital, University of Toronto, Toronto, ON, Canada
- Department of Medical Imaging, University of Toronto, Toronto, ON, Canada
| | - Adam Farag
- University Medical Imaging Toronto, Toronto Joint Department Medical Imaging, University Health Network, Sinai Health System, Women's College Hospital, University of Toronto, Toronto, ON, Canada
| | - Jonathan Thiessen
- Imaging Program, Lawson Health Research Institute, London, ON, Canada
- Medical Biophysics, Medical Imaging, Western University, London, ON, Canada
| | - Rebecca Wong
- Department of Radiation Oncology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, ON, Canada
| | - Patrick Veit-Haibach
- University Medical Imaging Toronto, Toronto Joint Department Medical Imaging, University Health Network, Sinai Health System, Women's College Hospital, University of Toronto, Toronto, ON, Canada
- Department of Medical Imaging, University of Toronto, Toronto, ON, Canada
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7
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Ladbury C, Hao C, Watkins WT, Sampath S, Wong J, Amini A, Sokolov K, Yeh J, Al Feghali KA, de Jong D, Maniyedath A, Shirvani S, Nikolaenko L, Mei M, Herrera A, Popplewell L, Budde LE, Dandapani S. Prognostic significance of fludeoxyglucose positron emission tomography delta radiomics following bridging therapy in patients with large B-cell lymphoma undergoing CAR T-cell therapy. Front Immunol 2024; 15:1419788. [PMID: 39411711 PMCID: PMC11473334 DOI: 10.3389/fimmu.2024.1419788] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2024] [Accepted: 08/26/2024] [Indexed: 10/19/2024] Open
Abstract
Purpose/objectives Bridging radiation therapy (bRT) is increasingly being utilized prior to chimeric antigen receptor (CAR) T-cell therapy for large B-cell lymphoma (LBCL). It is unknown how the extent of cytoreduction during bRT impacts outcomes. Materials/methods We retrospectively reviewed patients with LBCL treated with bRT followed by CAR T-cell therapy. Metabolic tumor volume (MTV), maximum standardized uptake value (SUVmax), SUVmean, and total lesion glycolysis (TLG) were extracted from F18-fluorodeoxyglucose positron emission tomography (PET) scans acquired prior to bRT and between completion of bRT and CAR T-cell infusion. Delta radiomics based on changes of these values were then calculated. The association between delta radiomics and oncologic outcomes [progression-free survival (PFS), freedom from distant progression (FFDP), and local control (LC)] were then examined. Results Thirty-three sites across 23 patients with LBCL were irradiated. All metabolically active disease was treated in 10 patients. Following bRT, median overall decreases (including unirradiated sites) in MTV, SUVmax, SUVmean, and TLG were 22.2 cc (63.1%), 8.9 (36.8%), 3.4 (31.1%), and 297.9 cc (75.8%), respectively. Median decreases in MTV, SUVmax, SUVmean, and TLG in irradiated sites were 15.6 cc (91.1%), 17.0 (74.6%), 6.8 (55.3%), and 157.0 cc (94.6%), respectively. Median follow-up was 15.2 months. A decrease in SUVmax of at least 54% was associated with improved PFS (24-month PFS: 83.3% vs. 28.1%; p = 0.037) and FFDP (24-month FFDP: 100% vs. 62.4%; p < 0.001). A decrease in MTV of at least 90% was associated with improved FFDP (24-month FFDP: 100% vs. 62.4%; p < 0.001). LC was improved in sites with decreases in SUVmax of at least 71% (24-month LC: 100% vs. 72.7%; p < 0.001). Decreases of MTV by at least 90% (100% vs. 53.3%; p = 0.038) and TLG by at least 95% (100% vs. 56.3%; p = 0.067) were associated with an improved complete response rate. Conclusion bRT led to substantial reductions in MTV, SUVmax, SUVmean, and TLG. The relative extent of these decreases correlated with improved outcomes after CAR T-cell infusion. Prospective cohorts should validate the value of interim PET following bRT for quantifying changes in disease burden and associated prognosis.
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Affiliation(s)
- Colton Ladbury
- Department of Radiation Oncology, City of Hope National Medical Center, Duarte, CA, United States
| | - Claire Hao
- Department of Radiation Oncology, City of Hope National Medical Center, Duarte, CA, United States
| | - William Tyler Watkins
- Department of Radiation Oncology, City of Hope National Medical Center, Duarte, CA, United States
| | - Sagus Sampath
- Department of Radiation Oncology, City of Hope National Medical Center, Duarte, CA, United States
| | - Jeffrey Wong
- Department of Radiation Oncology, City of Hope National Medical Center, Duarte, CA, United States
| | - Arya Amini
- Department of Radiation Oncology, City of Hope National Medical Center, Duarte, CA, United States
| | - Karen Sokolov
- Department of Radiation Oncology, City of Hope National Medical Center, Duarte, CA, United States
| | - Jekwon Yeh
- Department of Radiation Oncology, City of Hope National Medical Center, Duarte, CA, United States
| | | | | | | | | | - Liana Nikolaenko
- Department of Hematology and Hematopoietic Cell Transplantation, City of Hope National Medical Center, Duarte, CA, United States
| | - Matthew Mei
- Department of Hematology and Hematopoietic Cell Transplantation, City of Hope National Medical Center, Duarte, CA, United States
| | - Alex Herrera
- Department of Hematology and Hematopoietic Cell Transplantation, City of Hope National Medical Center, Duarte, CA, United States
| | - Leslie Popplewell
- Department of Hematology and Hematopoietic Cell Transplantation, City of Hope National Medical Center, Duarte, CA, United States
| | - Lihua Elizabeth Budde
- Department of Hematology and Hematopoietic Cell Transplantation, City of Hope National Medical Center, Duarte, CA, United States
| | - Savita Dandapani
- Department of Radiation Oncology, City of Hope National Medical Center, Duarte, CA, United States
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Lancia A, Ingrosso G, Detti B, Festa E, Bonzano E, Linguanti F, Camilli F, Bertini N, La Mattina S, Orsatti C, Francolini G, Abenavoli EM, Livi L, Aristei C, de Jong D, Al Feghali KA, Siva S, Becherini C. Biology-guided radiotherapy in metastatic prostate cancer: time to push the envelope? Front Oncol 2024; 14:1455428. [PMID: 39314633 PMCID: PMC11417306 DOI: 10.3389/fonc.2024.1455428] [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: 06/26/2024] [Accepted: 08/19/2024] [Indexed: 09/25/2024] Open
Abstract
The therapeutic landscape of metastatic prostate cancer has undergone a profound revolution in recent years. In addition to the introduction of novel molecules in the clinics, the field has witnessed a tremendous development of functional imaging modalities adding new biological insights which can ultimately inform tailored treatment strategies, including local therapies. The evolution and rise of Stereotactic Body Radiotherapy (SBRT) have been particularly notable in patients with oligometastatic disease, where it has been demonstrated to be a safe and effective treatment strategy yielding favorable results in terms of disease control and improved oncological outcomes. The possibility of debulking all sites of disease, matched with the ambition of potentially extending this treatment paradigm to polymetastatic patients in the not-too-distant future, makes Biology-guided Radiotherapy (BgRT) an attractive paradigm which can be used in conjunction with systemic therapy in the management of patients with metastatic prostate cancer.
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Affiliation(s)
- Andrea Lancia
- Department of Radiation Oncology, San Matteo Hospital Foundation Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Pavia, Italy
| | | | - Beatrice Detti
- Radiotherapy Unit Prato, Usl Centro Toscana, Presidio Villa Fiorita, Prato, Italy
| | - Eleonora Festa
- Radiation Oncology Section, University of Perugia, Perugia, Italy
| | - Elisabetta Bonzano
- Department of Radiation Oncology, San Matteo Hospital Foundation Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Pavia, Italy
| | | | - Federico Camilli
- Radiation Oncology Section, University of Perugia, Perugia, Italy
| | - Niccolò Bertini
- Radiation Oncology Unit, Oncology Department, Azienda Ospedaliero Universitaria Careggi, Florence, Italy
| | - Salvatore La Mattina
- Department of Radiation Oncology, San Matteo Hospital Foundation Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Pavia, Italy
| | - Carolina Orsatti
- Radiation Oncology Unit, Oncology Department, Azienda Ospedaliero Universitaria Careggi, Florence, Italy
| | - Giulio Francolini
- Radiation Oncology Unit, Oncology Department, Azienda Ospedaliero Universitaria Careggi, Florence, Italy
| | | | - Lorenzo Livi
- Radiation Oncology Unit, Oncology Department, Azienda Ospedaliero Universitaria Careggi, Florence, Italy
| | - Cynthia Aristei
- Radiation Oncology Section, University of Perugia, Perugia, Italy
| | - Dorine de Jong
- Medical Affairs, RefleXion Medical, Inc., Hayward, CA, United States
| | | | - Shankar Siva
- Department of Radiation Oncology, Sir Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, VIC, Australia
| | - Carlotta Becherini
- Radiation Oncology Unit, Oncology Department, Azienda Ospedaliero Universitaria Careggi, Florence, Italy
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Oderinde OM, Narayanan M, Olcott P, Voronenko Y, Burns J, Xu S, Shao L, Feghali KAA, Shirvani SM, Surucu M, Kuduvalli G. Demonstration of real-time positron emission tomography biology-guided radiotherapy delivery to targets. Med Phys 2024; 51:5672-5681. [PMID: 38452277 DOI: 10.1002/mp.16999] [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: 06/29/2023] [Revised: 02/05/2024] [Accepted: 02/05/2024] [Indexed: 03/09/2024] Open
Abstract
BACKGROUND Biology-guided radiotherapy (BgRT) is a novel technology that uses positron emission tomography (PET) data to direct radiotherapy delivery in real-time. BgRT enables the precise delivery of radiation doses based on the PET signals emanating from PET-avid tumors on the fly. In this way, BgRT uniquely utilizes radiotracer uptake as a biological beacon for controlling and adjusting dose delivery in real-time to account for target motion. PURPOSE To demonstrate using real-time PET for BgRT delivery on the RefleXion X1 radiotherapy machine. The X1 radiotherapy machine is a rotating ring-gantry radiotherapy system that generates a nominal 6MV photon beam, PET, and computed tomography (CT) components. The system utilizes emitted photons from PET-avid targets to deliver effective radiation beamlets or pulses to the tumor in real-time. METHODS This study demonstrated a real-time PET BgRT delivery experiment under three scenarios. These scenarios included BgRT delivering to (S1) a static target in a homogeneous and heterogeneous environment, (S2) a static target with a hot avoidance structure and partial PET-avid target, and (S3) a moving target. The first step was to create stereotactic body radiotherapy (SBRT) and BgRT plans (offline PET data supported) using RefleXion's custom-built treatment planning system (TPS). Additionally, to create a BgRT plan using PET-guided delivery, the targets were filled with 18F-Fluorodeoxyglucose (FDG), which represents a tumor/target, that is, PET-avid. The background materials were created in the insert with homogeneous water medium (for S1) and heterogeneous water with styrofoam mesh medium. A heterogeneous background medium simulated soft tissue surrounding the tumor. The treatment plan was then delivered to the experimental setups using a pre-commercial version of the X1 machine. As a final step, the dosimetric accuracy for S1 and S2 was assessed using the ArcCheck analysis tool-the gamma criteria of 3%/3 mm. For S3, the delivery dose was quantified using EBT-XD radiochromic film. The accuracy criteria were based on coverage, where 100% of the clinical target volume (CTV) receives at least 97% of the prescription dose, and the maximum dose in the CTV was ≤130% of the maximum planned dose (97 % ≤ CTV ≤ 130%). RESULTS For the S1, both SBRT and BgRT deliveries had gamma pass rates greater than 95% (SBRT range: 96.9%-100%, BgRT range: 95.2%-98.9%), while in S2, the gamma pass rate was 98% for SBRT and between 95.2% and 98.9% for BgRT plan delivering. For S3, both SBRT and BgRT motion deliveries met CTV dose coverage requirements, with BgRT plans delivering a very high dose to the target. The CTV dose ranges were (a) SBRT:100.4%-120.4%, and (b) BgRT: 121.3%-139.9%. CONCLUSIONS This phantom-based study demonstrated that PET signals from PET-avid tumors can be utilized to direct real-time dose delivery to the tumor accurately, which is comparable to the dosimetric accuracy of SBRT. Furthermore, BgRT delivered a PET-signal controlled dose to the moving target, equivalent to the dose distribution to the static target. A future study will compare the performance of BgRT with conventional image-guided radiotherapy.
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Affiliation(s)
- Oluwaseyi M Oderinde
- Advanced Molecular Imaging in Radiotherapy (AdMIRe) Research Laboratory, Purdue University, West Lafayette, Indiana, USA
- School of Health Sciences, Purdue University, West Lafayette, Indiana, USA
- Department of Radiation Oncology, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | | | - Peter Olcott
- RefleXion Medical, Inc, Hayward, California, USA
| | | | - Jon Burns
- RefleXion Medical, Inc, Hayward, California, USA
| | - Shiyu Xu
- RefleXion Medical, Inc, Hayward, California, USA
| | - Ling Shao
- RefleXion Medical, Inc, Hayward, California, USA
| | | | | | - Murat Surucu
- Department of Radiation Oncology, Stanford University School of Medicine, Palo Alto, California, USA
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10
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Surucu M, Ashraf MR, Romero IO, Zalavari LT, Pham D, Vitzthum LK, Gensheimer MF, Yang Y, Xing L, Kovalchuk N, Han B. Commissioning of a novel PET-Linac for biology-guided radiotherapy (BgRT). Med Phys 2024; 51:4389-4401. [PMID: 38703397 DOI: 10.1002/mp.17114] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Revised: 02/16/2024] [Accepted: 04/18/2024] [Indexed: 05/06/2024] Open
Abstract
BACKGROUND Biology-guided radiotherapy (BgRT) is a novel radiotherapy delivery technique that utilizes the tumor itself to guide dynamic delivery of treatment dose to the tumor. The RefleXion X1 system is the first radiotherapy system developed to deliver SCINTIX® BgRT. The X1 is characterized by its split arc design, employing two 90-degree positron emission tomography (PET) arcs to guide therapeutic radiation beams in real time, currently cleared by FDA to treat bone and lung tumors. PURPOSE This study aims to comprehensively evaluate the capabilities of the SCINTIX radiotherapy delivery system by evaluating its sensitivity to changes in PET contrast, its adaptability in the context of patient motion, and its performance across a spectrum of prescription doses. METHODS A series of experimental scenarios, both static and dynamic, were designed to assess the SCINTIX BgRT system's performance, including an end-to-end test. These experiments involved a range of factors, including changes in PET contrast, motion, and prescription doses. Measurements were performed using a custom-made ArcCHECK insert which included a 2.2 cm spherical target and a c-shape structure that can be filled with a PET tracer with varying concentrations. Sinusoidal and cosine4 motion patterns, simulating patient breathing, was used to test the SCINTIX system's ability to deliver BgRT during motion-induced challenges. Each experiment was evaluated against specific metrics, including Activity Concentration (AC), Normalized Target Signal (NTS), and Biology Tracking Zone (BTZ) bounded dose-volume histogram (bDVH) pass rates. The accuracy of the delivered BgRT doses on ArcCHECK and EBT-XD film were evaluated using gamma 3%/2 mm and 3%/3 mm analysis. RESULTS In static scenarios, the X1 system consistently demonstrated precision and robustness in SCINTIX dose delivery. The end-to-end delivery to the spherical target yielded good results, with AC and NTS values surpassing the critical thresholds of 5 kBq/mL and 2, respectively. Furthermore, bDVH analysis consistently confirmed 100% pass rates. These results were reaffirmed in scenarios involving changes in PET contrast, emphasizing the system's ability to adapt to varying PET avidities. Gamma analysis with 3%/2 mm (10% dose threshold) criteria consistently achieved pass rates > 91.5% for the static tests. In dynamic SCINTIX delivery scenarios, the X1 system exhibited adaptability under conditions of motion. Sinusoidal and cosine4 motion patterns resulted in 3%/3 mm gamma pass rates > 87%. Moreover, the comparison with gated stereotactic body radiotherapy (SBRT) delivery on a conventional c-arm Linac resulted in 93.9% gamma pass rates and used as comparison to evaluate the interplay effect. The 1 cm step shift tests showed low overall gamma pass rates of 60.3% in ArcCHECK measurements, while the doses in the PTV agreed with the plan with 99.9% for 3%/3 mm measured with film. CONCLUSIONS The comprehensive evaluation of the X1 radiotherapy delivery system for SCINTIX BgRT demonstrated good agreement for the static tests. The system consistently achieved critical metrics and delivered the BgRT doses per plan. The motion tests demonstrated its ability to co-localize the dose where the PET signal is and deliver acceptable BgRT dose distributions.
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Affiliation(s)
- Murat Surucu
- Department of Radiation Oncology, Stanford University, Stanford, California, USA
| | | | - Ignacio Omar Romero
- Department of Radiation Oncology, Stanford University, Stanford, California, USA
| | | | - Daniel Pham
- Department of Radiation Oncology, Stanford University, Stanford, California, USA
| | - Lucas Kas Vitzthum
- Department of Radiation Oncology, Stanford University, Stanford, California, USA
| | | | - Yong Yang
- Department of Radiation Oncology, Stanford University, Stanford, California, USA
| | - Lei Xing
- Department of Radiation Oncology, Stanford University, Stanford, California, USA
| | - Nataliya Kovalchuk
- Department of Radiation Oncology, Stanford University, Stanford, California, USA
| | - Bin Han
- Department of Radiation Oncology, Stanford University, Stanford, California, USA
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11
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Leech M, Abdalqader A, Alexander S, Anderson N, Barbosa B, Callens D, Chapman V, Coffey M, Cox M, Curic I, Dean J, Denney E, Kearney M, Leung VW, Mortsiefer M, Nirgianaki E, Povilaitis J, Strikou D, Thompson K, van den Bosch M, Velec M, Woodford K, Buijs M. The Radiation Therapist profession through the lens of new technology: A practice development paper based on the ESTRO Radiation Therapist Workshops. Tech Innov Patient Support Radiat Oncol 2024; 30:100243. [PMID: 38831996 PMCID: PMC11145757 DOI: 10.1016/j.tipsro.2024.100243] [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: 03/11/2024] [Accepted: 03/13/2024] [Indexed: 06/05/2024] Open
Abstract
Technological advances in radiation therapy impact on the role and scope of practice of the radiation therapist. The European Society of Radiotherapy and Oncology (ESTRO) recently held two workshops on this topic and this position paper reflects the outcome of this workshop, which included radiation therapists from all global regions. Workflows, quality assurance, research, IGRT and ART as well as clinical decision making are the areas of radiation therapist practice that will be highly influenced by advancing technology in the near future. This position paper captures the opportunities that this will bring to the radiation therapist profession, to the practice of radiation therapy and ultimately to patient care.
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Affiliation(s)
- Michelle Leech
- Applied Radiation Therapy Trinity, Discipline of Radiation Therapy, Trinity College Dublin, Ireland
- Trinity St. James’s Cancer Institute, Dublin, Ireland
| | | | - Sophie Alexander
- The Royal Marsden NHS Foundation Trust and The Institute of Cancer Research, Sutton, United Kingdom
| | - Nigel Anderson
- Department of Radiation Oncology, Olivia Newton-John Cancer Wellness & Research Centre - Austin Health, Heidelberg, Australia
| | - Barbara Barbosa
- Escola Internacional de Doutoramento, Universidad de Vigo, Spain
- Medical Physics, Radiobiology and Radiation Protection Group, IPO Porto Research Center (CI-IPOP), Porto Comprehensive Cancer Center (Porto.CCC) & Rise@CI-IPOP (Health Research Network), Porto, Portugal
| | - Dylan Callens
- University Hospital Leuven, Department of Radiation Oncology, Leuven, Belgium
- KU Leuven, Laboratory of Experimental Radiotherapy, Leuven, Belgium
| | | | - Mary Coffey
- Applied Radiation Therapy Trinity, Discipline of Radiation Therapy, Trinity College Dublin, Ireland
| | - Maya Cox
- Auckland City Hospital, Auckland, New Zealand
| | - Ilija Curic
- Radiosurgery and Stereotactic Radiotherapy Department, University Clinical Center of Serbia, Belgrade, Serbia
| | - Jenna Dean
- Department of Radiation Oncology, Olivia Newton-John Cancer Wellness & Research Centre - Austin Health, Heidelberg, Australia
| | | | - Maeve Kearney
- Applied Radiation Therapy Trinity, Discipline of Radiation Therapy, Trinity College Dublin, Ireland
- Trinity St. James’s Cancer Institute, Dublin, Ireland
| | - Vincent W.S. Leung
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong
| | | | | | - Justas Povilaitis
- The Hospital of Lithuanian University of Health Sciences Kauno klinikos, Kaunas, Lithuania
| | - Dimitra Strikou
- Radiation Oncology Unit, University and General Attikon Hospital, Athens, Greece
| | - Kenton Thompson
- Department of Radiation Therapy Services, Peter MacCallum Cancer Centre, Melbourne, Australia
| | | | - Michael Velec
- Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, Canada
| | - Katrina Woodford
- Department of Radiation Therapy Services, Peter MacCallum Cancer Centre, Melbourne, Australia
- Department of Medical Imaging and Radiation Sciences, Monash University, Clayton, Australia
| | - Monica Buijs
- InHolland Haarlem, University of Applied Science, Haarlem, the Netherlands
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12
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Jadick G, Schlafly G, La Rivière PJ. Dual-energy computed tomography imaging with megavoltage and kilovoltage X-ray spectra. J Med Imaging (Bellingham) 2024; 11:023501. [PMID: 38445223 PMCID: PMC10910563 DOI: 10.1117/1.jmi.11.2.023501] [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: 06/26/2023] [Revised: 12/26/2023] [Accepted: 02/06/2024] [Indexed: 03/07/2024] Open
Abstract
Purpose Single-energy computed tomography (CT) often suffers from poor contrast yet remains critical for effective radiotherapy treatment. Modern therapy systems are often equipped with both megavoltage (MV) and kilovoltage (kV) X-ray sources and thus already possess hardware for dual-energy (DE) CT. There is unexplored potential for enhanced image contrast using MV-kV DE-CT in radiotherapy contexts. Approach A single-line integral toy model was designed for computing basis material signal-to-noise ratio (SNR) using estimation theory. Five dose-matched spectra (3 kV, 2 MV) and three variables were considered: spectral combination, spectral dose allocation, and object material composition. The single-line model was extended to a simulated CT acquisition of an anthropomorphic phantom with and without a metal implant. Basis material sinograms were computed and synthesized into virtual monoenergetic images (VMIs). MV-kV and kV-kV VMIs were compared with single-energy images. Results The 80 kV-140 kV pair typically yielded the best SNRs, but for bone thicknesses > 8 cm , the detunedMV-80 kV pair surpassed it. Peak MV-kV SNR was achieved with ∼ 90 % dose allocated to the MV spectrum. In CT simulations of the pelvis with a steel implant, MV-kV VMIs yielded a higher contrast-to-noise ratio (CNR) than single-energy CT and kV-kV DE-CT. Without steel, the MV-kV VMIs produced higher contrast but lower CNR than single-energy CT. Conclusions This work analyzes MV-kV DE-CT imaging and assesses its potential advantages. The technique may be used for metal artifact correction and generation of VMIs with higher native contrast than single-energy CT. Improved denoising is generally necessary for greater CNR without metal.
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Affiliation(s)
- Giavanna Jadick
- University of Chicago, Department of Radiology, Chicago, Illinois, United States
| | - Geneva Schlafly
- University of Chicago, Department of Radiology, Chicago, Illinois, United States
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13
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Herndon RC. Functional information guided adaptive radiation therapy. Front Oncol 2024; 13:1251937. [PMID: 38250556 PMCID: PMC10798040 DOI: 10.3389/fonc.2023.1251937] [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: 07/03/2023] [Accepted: 12/06/2023] [Indexed: 01/23/2024] Open
Abstract
Introduction Functional informaton is introduced as the mechanism to adapt cancer therapies uniquely to individual patients based on changes defined by qualified tumor biomarkers. Methods To demonstrate the methodology, a tumor volume biomarker model, characterized by a tumor volume reduction rate coefficient, is used to adapt a tumor cell survival bioresponse radiotherapy model in terms of therapeutic radiation dose. Tumor volume, acquired from imaging data, serves as a surrogate measurement for tumor cell death, but the biomarker model derived from this data cannot be used to calculate the radiation dose absorbed by the target tumor. However, functional information does provide a mathematical connection between the tumor volume biomarker model and the tumor cell survival bioresponse model by quantifying both data sets in the units of information, thus creating an analytic conduit from bioresponse to biomarker. Results The information guided process for individualized dose adaptations using information values acquired from the tumor cell survival bioresponse model and the tumor volume biomarker model are presented in detailed form by flowchart and tabular data. Clinical data are used to generate a presentation that assists investigator application of the information guided methodology to adaptive cancer therapy research. Conclusions Information guided adaptation of bioresponse using surrogate data is extensible across multiple research fields because functional information mathematically connects disparate bioresponse and biomarker data sets. Thus, functional information offers adaptive cancer therapy by mathematically connecting immunotherapy, chemotherapy, and radiotherapy cancer treatment processes to implement individualized treatment plans.
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Affiliation(s)
- R. Craig Herndon
- Hillman Cancer Center, Radiation Oncology, University of Pittsburgh Medical Center, Williamsport, PA, United States
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14
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Shi M, Simiele E, Han B, Pham D, Palomares P, Aguirre M, Gensheimer M, Vitzthum L, Le QT, Surucu M, Kovalchuk N. First-Year Experience of Stereotactic Body Radiation Therapy/Intensity Modulated Radiation Therapy Treatment Using a Novel Biology-Guided Radiation Therapy Machine. Adv Radiat Oncol 2024; 9:101300. [PMID: 38260216 PMCID: PMC10801639 DOI: 10.1016/j.adro.2023.101300] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Accepted: 05/16/2023] [Indexed: 01/24/2024] Open
Abstract
Purpose The aim of this study was to present the first-year experience of treating patients using intensity modulated radiation therapy (IMRT) and stereotactic body radiation therapy (SBRT) with a biology-guided radiation therapy machine, the RefleXion X1 system, installed in a clinical setting. Methods and Materials A total of 78 patients were treated on the X1 system using IMRT and SBRT from May 2021 to May 2022. Clinical and technical data including treatment sites, number of pretreatment kilovoltage computed tomography (kVCT) scans, beam-on time, patient setup time, and imaging time were collected and analyzed. Machine quality assurance (QA) results, machine performance, and user satisfactory survey were also collected and reported. Results The most commonly treated site was the head and neck (63%), followed by the pelvis (23%), abdomen (8%), and thorax (6%). Except for 5 patients (6%) who received SBRT treatments for bony metastases in the pelvis, all treatments were conventionally fractionated IMRT. The number of kVCT scans per fraction was 1.2 ± 0.5 (mean ± standard deviation). The beam-on time was 9.2 ± 3.5 minutes. The patient setup time and imaging time per kVCT was 4.8 ± 2.6 minutes and 4.6 ± 1.5 minutes, respectively. The daily machine output deviation was 0.4 ± 1.2% from the baseline. The patient QA had a passing rate of 97.4 ± 2.8% at 3%/2 mm gamma criteria. The machine uptime was 92% of the total treatment time. The daily QA and kVCT image quality received the highest level of satisfaction. The treatment workflow for therapists received the lowest level of satisfaction. Conclusions One year after the installation, 78 patients were successfully treated with the X1 system using IMRT and/or SBRT. With the recent Food and Drug Administration clearance of biology-guided radiation therapy, our department is preparing to treat patients using positron emission tomography-guidance via a new product release, which will address deficiencies in the current image-guided radiation therapy workflow.
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Affiliation(s)
- Mengying Shi
- Department of Radiation Oncology, Stanford University, Stanford, California
- Department of Radiation Oncology, University of California, Irvine, Orange, California
| | - Eric Simiele
- Department of Radiation Oncology, Stanford University, Stanford, California
- Department of Radiation Oncology, University of Alabama, Birmingham, Alabama
| | - Bin Han
- Department of Radiation Oncology, Stanford University, Stanford, California
| | - Daniel Pham
- Department of Radiation Oncology, Stanford University, Stanford, California
| | - Paul Palomares
- Department of Radiation Oncology, Stanford University, Stanford, California
| | - Michaela Aguirre
- Department of Radiation Oncology, Stanford University, Stanford, California
| | - Michael Gensheimer
- Department of Radiation Oncology, Stanford University, Stanford, California
| | - Lucas Vitzthum
- Department of Radiation Oncology, Stanford University, Stanford, California
| | - Quynh-Thu Le
- Department of Radiation Oncology, Stanford University, Stanford, California
| | - Murat Surucu
- Department of Radiation Oncology, Stanford University, Stanford, California
| | - Nataliya Kovalchuk
- Department of Radiation Oncology, Stanford University, Stanford, California
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15
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Mavrikios A, Remon J, Quevrin C, Mercier O, Tselikas L, Botticella A, Nicolas E, Deutsch E, Besse B, Planchard D, Barlesi F, Le Péchoux C, Levy A. Local control strategies for management of NSCLC with oligoprogressive disease. Cancer Treat Rev 2023; 120:102621. [PMID: 37690180 DOI: 10.1016/j.ctrv.2023.102621] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2023] [Revised: 08/28/2023] [Accepted: 09/01/2023] [Indexed: 09/12/2023]
Abstract
Progresses of systemic treatments in advanced non-small cell lung cancer (NSCLC), such as immune checkpoint blockers (ICB) and targeted therapies, led to the increased incidence of oligoprogressive disease (OPD). The OPD is a subtype of oligometastatic disease (OMD) defined as a progression of a limited number of lesions during systemic treatment exposure. The hypothesis was formulated that local radical treatments (LRT) could eradicate progressive lesions resulting from resistant clones, ultimately leading to systemic treatment sensitivity restoration. Recently published international consensuses and guidelines aim to obtain a uniform definition of OMD NSCLC, to standardize the inclusion of these patients in future clinical trials, as well as their management in daily practice. Although there is no specific definition of OPD, LRT strategies in OPD are supported after reporting promising results. Both retrospective and preliminary prospective randomized data of LRT for patients with OPD NSCLC are encouraging. More clinical and translational data are needed for selecting best scenarios where LRT should be delivered. In this review, we analyze the current available literature on LRT for patients with OPD in advanced NSCLC and discuss about future trial design and challenges.
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Affiliation(s)
- Antoine Mavrikios
- Department of Radiation Oncology, International Center for Thoracic Cancers (CICT), Gustave Roussy, F-94805 Villejuif, France
| | - Jordi Remon
- Department of Cancer Medicine, International Center for Thoracic Cancers (CICT), Gustave Roussy, F-94805 Villejuif, France
| | - Clément Quevrin
- Université Paris-Saclay, INSERM U1030, Molecular Radiotherapy and Therapeutic Innovations, F-94805 Villejuif, France
| | - Olaf Mercier
- Université Paris-Saclay, Faculté de Médecine, 94270 Le Kremlin-Bicêtre, France; Department of Thoracic and Vascular Surgery and Heart-Lung Transplantation, International Center for Thoracic Cancers (CICT), Marie-Lannelongue Hospital, Le Plessis Robinson, France
| | - Lambros Tselikas
- Université Paris-Saclay, Faculté de Médecine, 94270 Le Kremlin-Bicêtre, France; Department of Anesthesia, Surgery and Interventional Radiology (DACI), International Center for Thoracic Cancers (CICT), Gustave Roussy, F-94805 Villejuif, France
| | - Angela Botticella
- Department of Radiation Oncology, International Center for Thoracic Cancers (CICT), Gustave Roussy, F-94805 Villejuif, France
| | - Eliot Nicolas
- Department of Radiation Oncology, International Center for Thoracic Cancers (CICT), Gustave Roussy, F-94805 Villejuif, France
| | - Eric Deutsch
- Department of Radiation Oncology, International Center for Thoracic Cancers (CICT), Gustave Roussy, F-94805 Villejuif, France; Université Paris-Saclay, INSERM U1030, Molecular Radiotherapy and Therapeutic Innovations, F-94805 Villejuif, France; Université Paris-Saclay, Faculté de Médecine, 94270 Le Kremlin-Bicêtre, France
| | - Benjamin Besse
- Department of Cancer Medicine, International Center for Thoracic Cancers (CICT), Gustave Roussy, F-94805 Villejuif, France; Université Paris-Saclay, Faculté de Médecine, 94270 Le Kremlin-Bicêtre, France
| | - David Planchard
- Department of Cancer Medicine, International Center for Thoracic Cancers (CICT), Gustave Roussy, F-94805 Villejuif, France; Université Paris-Saclay, Faculté de Médecine, 94270 Le Kremlin-Bicêtre, France
| | - Fabrice Barlesi
- Department of Cancer Medicine, International Center for Thoracic Cancers (CICT), Gustave Roussy, F-94805 Villejuif, France; Université Paris-Saclay, Faculté de Médecine, 94270 Le Kremlin-Bicêtre, France
| | - Cécile Le Péchoux
- Department of Radiation Oncology, International Center for Thoracic Cancers (CICT), Gustave Roussy, F-94805 Villejuif, France
| | - Antonin Levy
- Department of Radiation Oncology, International Center for Thoracic Cancers (CICT), Gustave Roussy, F-94805 Villejuif, France; Université Paris-Saclay, INSERM U1030, Molecular Radiotherapy and Therapeutic Innovations, F-94805 Villejuif, France; Université Paris-Saclay, Faculté de Médecine, 94270 Le Kremlin-Bicêtre, France.
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16
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Schiavo F, Toma-Dasu I, Kjellsson Lindblom E. Hypoxia dose painting in SBRT - the virtual clinical trial approach. Acta Oncol 2023; 62:1239-1245. [PMID: 37713263 DOI: 10.1080/0284186x.2023.2258272] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2023] [Accepted: 09/07/2023] [Indexed: 09/16/2023]
Abstract
BACKGROUND Treating hypoxic tumours remains a challenge in radiotherapy as hypoxia leads to enhanced tumour aggressiveness and resistance to radiation. As escalating the doses is rarely feasible within the healthy tissue constraints, dose-painting strategies have been explored. Consensus about the best of care for hypoxic tumours has however not been reached because, among other reasons, the limits of current functional in-vivo imaging systems in resolving the details and dynamics of oxygen transport in tissue. Computational modelling of the tumour microenvironment enables the design and conduction of virtual clinical trials by providing relationships between biological features and treatment outcomes. This study presents a framework for assessing the therapeutic influence of the individual characteristics of the vasculature and the resulting oxygenation of hypoxic tumours in a virtual clinical trial on dose painting in stereotactic body radiotherapy (SBRT) circumventing the limitations of the imaging systems. MATERIAL AND METHODS The homogeneous doses required to overcome hypoxia in simulated SBRT treatments of 1, 3 or 5 fractions were calculated for tumours with heterogeneous oxygenation derived from virtual vascular networks. The tumour control probability (TCP) was calculated for different scenarios for oxygenation dynamics resulting on cellular reoxygenation. RESULTS A three-fractions SBRT treatment delivering 41.9 Gy (SD 2.8) and 26.5 Gy (SD 0.1) achieved only 21% (SD 12) and 48% (SD 17) control in the hypoxic and normoxic subvolumes, respectively whereas fast reoxygenation improved the control by 30% to 50%. TCP values for the individual tumours with similar characteristics, however, might differ substantially, highlighting the crucial role of the magnitude and time evolution of hypoxia at the microscale. CONCLUSION The results show that local microvascular heterogeneities may affect the predicted outcome in the hypoxic core despite escalated doses, emphasizing the role of theoretical modelling in understanding of and accounting for the dominant factors of the tumour microenvironment.
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Affiliation(s)
- Filippo Schiavo
- Department of Physics, Stockholm University, Stockholm, Sweden
- Department of Oncology and Pathology, Karolinska Institutet, Stockholm, Sweden
| | - Iuliana Toma-Dasu
- Department of Physics, Stockholm University, Stockholm, Sweden
- Department of Oncology and Pathology, Karolinska Institutet, Stockholm, Sweden
| | - Emely Kjellsson Lindblom
- Department of Physics, Stockholm University, Stockholm, Sweden
- Department of Oncology and Pathology, Karolinska Institutet, Stockholm, Sweden
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Beriwal S, Corrigan KL, McDermott PN, Ryckman J, Tsao MN, Zheng D, Joiner MC, Dominello MM, Burmeister J. Three Discipline Collaborative Radiation Therapy (3DCRT) special debate: Radiation oncology has become so technologically complex that basic fundamental physics should no longer be included in the modern curriculum for radiation oncology residents. J Appl Clin Med Phys 2023; 24:e14128. [PMID: 37606366 PMCID: PMC10476972 DOI: 10.1002/acm2.14128] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Accepted: 08/02/2023] [Indexed: 08/23/2023] Open
Affiliation(s)
- Sushil Beriwal
- Department of Radiation OncologyAllegheny Health NetworkWexfordPennsylvaniaUSA
| | - Kelsey L. Corrigan
- Department of Radiation OncologyMD Anderson Cancer CenterHoustonTexasUSA
| | | | - Jeffrey Ryckman
- Camden Clark Comprehensive Regional Cancer CenterWest Virginia Cancer InstituteParkersburgWest VirginiaUSA
| | - May N. Tsao
- Department of Radiation OncologyUniversity of Toronto, Odette Cancer CentreToronto, ONCanada
| | - Dandan Zheng
- Department of Radiation OncologyUniversity of RochesterRochesterNew YorkUSA
| | - Michael C. Joiner
- Department of OncologyWayne State University School of MedicineDetroitMichiganUSA
| | - Michael M. Dominello
- Department of OncologyWayne State University School of MedicineDetroitMichiganUSA
| | - Jay Burmeister
- Department of OncologyWayne State University School of MedicineDetroitMichiganUSA
- Gershenson Radiation Oncology CenterBarbara Ann Karmanos Cancer InstituteDetroitMichiganUSA
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Natarajan A, Khan S, Liang X, Nguyen H, Das N, Anders D, Malik N, Oderinde OM, Chin FT, Rosenthal E, Pratx G. Preclinical Evaluation of 89Zr-Panitumumab for Biology-Guided Radiation Therapy. Int J Radiat Oncol Biol Phys 2023; 116:927-934. [PMID: 36669541 PMCID: PMC11290461 DOI: 10.1016/j.ijrobp.2023.01.007] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Revised: 12/27/2022] [Accepted: 01/09/2023] [Indexed: 01/20/2023]
Abstract
PURPOSE Biology-guided radiation therapy (BgRT) uses real-time line-of-response data from on-board positron emission tomography (PET) detectors to guide beamlet delivery during therapeutic radiation. The current workflow requires 18F-fluorodeoxyglucose (FDG) administration daily before each treatment fraction. However, there are advantages to reducing the number of tracer injections by using a PET tracer with a longer decay time. In this context, we investigated 89Zr-panitumumab (89Zr-Pan), an antibody PET tracer with a half-life of 78 hours that can be imaged for up to 9 days using PET. METHODS AND MATERIALS The BgRT workflow was evaluated preclinically in mouse colorectal cancer xenografts (HCT116) using small-animal positron emission tomography/computed tomography (PET/CT) for imaging and image-guided kilovoltage conformal irradiation for therapy. Mice (n = 5 per group) received 7 MBq of 89Zr-Pan as a single dose 2 weeks after tumor induction, with or without fractionated radiation therapy (RT; 6 × 6.6 Gy) to the tumor region. The mice were imaged longitudinally to assess the kinetics of the tracer over 9 days. PET images were then analyzed to determine the stability of the PET signal in irradiated tumors over time. RESULTS Mice in the treatment group experienced complete tumor regression, whereas those in the control group were killed because of tumor burden. PET imaging of 89Zr-Pan showed well-delineated tumors with minimal background in both groups. On day 9 postinjection, tumor uptake of 89Zr-Pan was 7.2 ± 1.7 in the control group versus 5.2 ± 0.5 in the treatment group (mean percentage of injected dose per gram of tissue [%ID/g] ± SD; P = .07), both significantly higher than FDG uptake (1.1 ± 0.5 %ID/g) 1 hour postinjection. To assess BgRT feasibility, the clinical eligibility criteria was computed using human-equivalent uptake values that were extrapolated from preclinical PET data. Based on this semiquantitative analysis, BgRT may be feasible for 5 consecutive days after a single 740-MBq injection of 89Zr-Pan. CONCLUSIONS This study indicates the potential of long-lived antibody-based PET tracers for guiding clinical BgRT.
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Affiliation(s)
| | - Syamantak Khan
- Department of Radiation Oncology, Stanford University, Stanford, California
| | - Xuanwei Liang
- Department of Physics, Foothill College, Los Altos, California
| | - Hieu Nguyen
- Department of Radiation Oncology, Stanford University, Stanford, California
| | - Neeladrisingha Das
- Department of Radiation Oncology, Stanford University, Stanford, California
| | - David Anders
- Department of Radiology, Stanford University, Stanford, California
| | - Noeen Malik
- Department of Radiology, Stanford University, Stanford, California
| | | | - Frederick T Chin
- Department of Radiology, Stanford University, Stanford, California
| | - Eben Rosenthal
- Department of Otolaryngology, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Guillem Pratx
- Department of Radiation Oncology, Stanford University, Stanford, California.
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19
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Earland N, Chen K, Semenkovich NP, Chauhan PS, Zevallos JP, Chaudhuri AA. Emerging Roles of Circulating Tumor DNA for Increased Precision and Personalization in Radiation Oncology. Semin Radiat Oncol 2023; 33:262-278. [PMID: 37331781 DOI: 10.1016/j.semradonc.2023.03.004] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/20/2023]
Abstract
Recent breakthroughs in circulating tumor DNA (ctDNA) technologies present a compelling opportunity to combine this emerging liquid biopsy approach with the field of radiogenomics, the study of how tumor genomics correlate with radiotherapy response and radiotoxicity. Canonically, ctDNA levels reflect metastatic tumor burden, although newer ultrasensitive technologies can be used after curative-intent radiotherapy of localized disease to assess ctDNA for minimal residual disease (MRD) detection or for post-treatment surveillance. Furthermore, several studies have demonstrated the potential utility of ctDNA analysis across various cancer types managed with radiotherapy or chemoradiotherapy, including sarcoma and cancers of the head and neck, lung, colon, rectum, bladder, and prostate . Additionally, because peripheral blood mononuclear cells are routinely collected alongside ctDNA to filter out mutations associated with clonal hematopoiesis, these cells are also available for single nucleotide polymorphism analysis and could potentially be used to detect patients at high risk for radiotoxicity. Lastly, future ctDNA assays will be utilized to better assess locoregional MRD in order to more precisely guide adjuvant radiotherapy after surgery in cases of localized disease, and guide ablative radiotherapy in cases of oligometastatic disease.
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Affiliation(s)
- Noah Earland
- Division of Biology and Biomedical Sciences, Washington University School of Medicine, St. Louis, MO; Department of Radiation Oncology, Washington University School of Medicine, St. Louis, MO
| | - Kevin Chen
- Department of Radiation Oncology, Washington University School of Medicine, St. Louis, MO
| | - Nicholas P Semenkovich
- Division of Endocrinology, Metabolism, and Lipid Research, Department of Medicine, Washington University School of Medicine, St. Louis, MO
| | - Pradeep S Chauhan
- Department of Radiation Oncology, Washington University School of Medicine, St. Louis, MO
| | - Jose P Zevallos
- Department of Otolaryngology, University of Pittsburgh Medical School, Pittsburgh, PA
| | - Aadel A Chaudhuri
- Division of Biology and Biomedical Sciences, Washington University School of Medicine, St. Louis, MO; Department of Radiation Oncology, Washington University School of Medicine, St. Louis, MO; Siteman Cancer Center, Barnes Jewish Hospital and Washington University School of Medicine, St. Louis, MO; Department of Genetics, Washington University School of Medicine, St. Louis, MO; Department of Biomedical Engineering, Washington University School of Medicine, St. Louis, MO; Department of Computer Science and Engineering, Washington University in St. Louis, St. Louis, MO.
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20
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Djekidel M. The changing landscape of nuclear medicine and a new era: the "NEW (Nu) CLEAR Medicine": a framework for the future. FRONTIERS IN NUCLEAR MEDICINE (LAUSANNE, SWITZERLAND) 2023; 3:1213714. [PMID: 39380958 PMCID: PMC11460298 DOI: 10.3389/fnume.2023.1213714] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Accepted: 06/13/2023] [Indexed: 10/10/2024]
Abstract
Nuclear Medicine is witnessing a revolution across a large spectrum of patient care applications, hardware, software and novel radiopharmaceuticals. We propose to offer a framework of the nuclear medicine practice of the future that incorporates multiple novelties and coined as the NEW (nu) Clear medicine. All these new developments offer a significant clarity and real clinical impact, and we need a concerted effort from all stakeholders in the field for bedside implementation and success.
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Affiliation(s)
- Mehdi Djekidel
- Radiology/Nuclear Medicine, Northwell Health, New York, NY, United States
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21
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Gaudreault M, Chang D, Hardcastle N, McIntosh L, Jackson P, Kron T, Udovicich C, Hofman MS, Siva S. Feasibility of biology-guided radiotherapy for metastatic renal cell carcinoma driven by PSMA PET imaging. Clin Transl Radiat Oncol 2023; 40:100608. [PMID: 36942088 PMCID: PMC10023908 DOI: 10.1016/j.ctro.2023.100608] [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: 12/30/2022] [Revised: 02/15/2023] [Accepted: 02/23/2023] [Indexed: 03/02/2023] Open
Abstract
Background Biology-guided radiotherapy (BgRT) is a novel treatment where the detection of positron emission originating from a volume called the biological tracking zone (BTZ) initiates dose delivery. Prostate-specific membrane antigen (PSMA) positron emission tomography (PET) is a novel imaging technique that may improve patient selection for metastasis-directed therapy in renal cell carcinoma (RCC). This study aims to determine the feasibility of BgRT treatment for RCC. Material and methods All consecutive patients that underwent PSMA PET/CT scan for RCC staging at our institution between 2014 and 2020 were retrospectively considered for inclusion. GTVs were contoured on the CT component of the PET/CT scan. The tumor-to-background ratio was quantified from the normalized standardized uptake value (nSUV), defined as the ratio between SUVmax inside the GTV and SUVmean inside the margin expansion. Tumors were classified suitable for BgRT if (1) nSUV was greater or equal to an nSUV threshold and (2) if the BTZ was free of any PET-avid region other than the tumor. Results Out of this cohort of 83 patients, 47 had metastatic RCC and were included in this study. In total, 136 tumors were delineated, 1 to 22 tumors per patient, mostly in lung (40%). Using a margin expansion of 5 mm/10 mm/20 mm and nSUV threshold = 3, 66%/63%/41% of tumors were suitable for BgRT treatment. Uptake originating from another tumor, the kidney, or the liver was typically inside the BTZ in tumors judged unsuitable for BgRT. Conclusions More than 60% of tumors were found to be suitable for BgRT in this cohort of patients with RCC. However, the proximity of PET-avid organs such as the liver or the kidney may affect BgRT delivery.
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Key Words
- Abdo, abdomen
- BTZ
- BTZ, biological tracking zone
- BgRT
- BgRT, biology-guided radiotherapy
- GTV, gross tumor volume
- LN&ST, lymph node and soft tissue
- MIP, maximum intensity projection
- PET, positron emission tomography
- PSMA
- PSMA, prostate specific membrane antigen
- RCC
- RCC, renal cell carcinoma
- SUV, standardized uptake value
- TPS, treatment planning system
- nSUV, normalized SUV
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Affiliation(s)
- Mathieu Gaudreault
- Department of Physical Sciences, Peter MacCallum Cancer Centre, Melbourne, Victoria 3000, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Victoria 3010, Australia
- Corresponding author at: Peter MacCallum Cancer Centre, 305 Grattan St, Melbourne, 3000, Australia.
| | - David Chang
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Victoria 3010, Australia
- Department of Radiation Oncology, Peter MacCallum Cancer Centre, Melbourne, Victoria 3000, Australia
| | - Nicholas Hardcastle
- Department of Physical Sciences, Peter MacCallum Cancer Centre, Melbourne, Victoria 3000, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Victoria 3010, Australia
- Centre for Medical Radiation Physics, University of Wollongong, Wollongong, NSW 2522, Australia
| | - Lachlan McIntosh
- Department of Physical Sciences, Peter MacCallum Cancer Centre, Melbourne, Victoria 3000, Australia
| | - Price Jackson
- Department of Physical Sciences, Peter MacCallum Cancer Centre, Melbourne, Victoria 3000, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Victoria 3010, Australia
| | - Tomas Kron
- Department of Physical Sciences, Peter MacCallum Cancer Centre, Melbourne, Victoria 3000, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Victoria 3010, Australia
- Centre for Medical Radiation Physics, University of Wollongong, Wollongong, NSW 2522, Australia
| | - Cristian Udovicich
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Victoria 3010, Australia
- Department of Radiation Oncology, Peter MacCallum Cancer Centre, Melbourne, Victoria 3000, Australia
| | - Michael S. Hofman
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Victoria 3010, Australia
- Molecular Imaging and Therapeutic Nuclear Medicine, Prostate Cancer Theranostics and Imaging Centre of Excellence (ProsTIC), Peter MacCallum Cancer Centre, Melbourne, Victoria 3000, Australia
| | - Shankar Siva
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Victoria 3010, Australia
- Department of Radiation Oncology, Peter MacCallum Cancer Centre, Melbourne, Victoria 3000, Australia
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Abstract
During the past 30 years, several advances have been made allowing for safer and more effective treatment of patients with liver cancer. This report reviews recent advances in radiation therapy for primary liver cancers including hepatocellular carcinoma and intrahepatic cholangiocarcinoma. First, studies focusing on liver stereotactic body radiation therapy (SBRT) are reviewed focusing on lessons learned and knowledge gained from early pioneering trials. Then, new technologies to enhance SBRT treatments are explored including adaptive therapy and MRI-guided and biology-guided radiation therapy. Finally, treatment with Y-90 transarterial radioembolization is reviewed with a focus on novel approaches focused on personalized therapy.
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Zhuang T, Gibbard G, Duan X, Tan J, Park Y, Lin MH, Sun Z, Oderinde OM, Lu W, Reynolds R, Godley A, Pompos A, Dan T, Garant A, Iyengar P, Timmerman R, Jiang S, Cai B. Evaluation of fan-beam kilovoltage computed tomography image quality on a novel biological-guided radiotherapy platform. Phys Imaging Radiat Oncol 2023; 26:100438. [PMID: 37342208 PMCID: PMC10277913 DOI: 10.1016/j.phro.2023.100438] [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: 10/22/2022] [Revised: 03/29/2023] [Accepted: 04/05/2023] [Indexed: 06/22/2023] Open
Abstract
Background and Purpose A recently developed biology-guided radiotherapy platform, equipped with positron emission tomography (PET) and computed tomography (CT), provides both anatomical and functional image guidance for radiotherapy. This study aimed to characterize performance of the kilovoltage CT (kVCT) system on this platform using standard quality metrics measured on phantom and patient images, using CT simulator images as reference. Materials and Methods Image quality metrics, including spatial resolution/modular transfer function (MTF), slice sensitivity profile (SSP), noise performance and image uniformity, contrast-noise ratio (CNR) and low-contrast resolution, geometric accuracy, and CT number (HU) accuracy, were evaluated on phantom images. Patient images were evaluated mainly qualitatively. Results On phantom images the MTF10% is about 0.68 lp/mm for kVCT in PET/CT Linac. The SSP agreed with nominal slice thickness within 0.7 mm. The diameter of the smallest visible target (1% contrast) is about 5 mm using medium dose mode. The image uniformity is within 2.0 HU. The geometric accuracy tests passed within 0.5 mm. Relative to CT simulator images, the noise is generally higher and the CNR is lower in PET/CT Linac kVCT images. The CT number accuracy is comparable between the two systems with maximum deviation from the phantom manufacturer range within 25 HU. On patient images, higher spatial resolution and image noise are observed on PET/CT Linac kVCT images. Conclusions Major image quality metrics of the PET/CT Linac kVCT were within vendor-recommended tolerances. Better spatial resolution but higher noise and better/comparable low contrast visibility were observed as compared to a CT simulator when images were acquired with clinical protocols.
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Affiliation(s)
- Tingliang Zhuang
- Department of Radiation Oncology, University of Texas- Southwestern Medical Center, Dallas, USA
| | - Grant Gibbard
- Department of Radiation Oncology, University of Texas- Southwestern Medical Center, Dallas, USA
| | - Xinhui Duan
- Department of Radiology, University of Texas- Southwestern Medical Center, Dallas, USA
| | - Jun Tan
- Department of Radiation Oncology, University of Texas- Southwestern Medical Center, Dallas, USA
| | - Yang Park
- Department of Radiation Oncology, University of Texas- Southwestern Medical Center, Dallas, USA
| | - Mu-Han Lin
- Department of Radiation Oncology, University of Texas- Southwestern Medical Center, Dallas, USA
| | - Zhihui Sun
- RefleXion Medical, Inc, Hayward, CA, USA
| | | | - Weiguo Lu
- Department of Radiation Oncology, University of Texas- Southwestern Medical Center, Dallas, USA
| | - Robert Reynolds
- Department of Radiation Oncology, University of Texas- Southwestern Medical Center, Dallas, USA
| | - Andrew Godley
- Department of Radiation Oncology, University of Texas- Southwestern Medical Center, Dallas, USA
| | - Arnold Pompos
- Department of Radiation Oncology, University of Texas- Southwestern Medical Center, Dallas, USA
| | - Tu Dan
- Department of Radiation Oncology, University of Texas- Southwestern Medical Center, Dallas, USA
| | - Aurelie Garant
- Department of Radiation Oncology, University of Texas- Southwestern Medical Center, Dallas, USA
| | - Puneeth Iyengar
- Department of Radiation Oncology, University of Texas- Southwestern Medical Center, Dallas, USA
| | - Robert Timmerman
- Department of Radiation Oncology, University of Texas- Southwestern Medical Center, Dallas, USA
| | - Steve Jiang
- Department of Radiation Oncology, University of Texas- Southwestern Medical Center, Dallas, USA
| | - Bin Cai
- Department of Radiation Oncology, University of Texas- Southwestern Medical Center, Dallas, USA
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Bryant JM, Weygand J, Keit E, Cruz-Chamorro R, Sandoval ML, Oraiqat IM, Andreozzi J, Redler G, Latifi K, Feygelman V, Rosenberg SA. Stereotactic Magnetic Resonance-Guided Adaptive and Non-Adaptive Radiotherapy on Combination MR-Linear Accelerators: Current Practice and Future Directions. Cancers (Basel) 2023; 15:2081. [PMID: 37046741 PMCID: PMC10093051 DOI: 10.3390/cancers15072081] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Revised: 03/27/2023] [Accepted: 03/29/2023] [Indexed: 04/03/2023] Open
Abstract
Stereotactic body radiotherapy (SBRT) is an effective radiation therapy technique that has allowed for shorter treatment courses, as compared to conventionally dosed radiation therapy. As its name implies, SBRT relies on daily image guidance to ensure that each fraction targets a tumor, instead of healthy tissue. Magnetic resonance imaging (MRI) offers improved soft-tissue visualization, allowing for better tumor and normal tissue delineation. MR-guided RT (MRgRT) has traditionally been defined by the use of offline MRI to aid in defining the RT volumes during the initial planning stages in order to ensure accurate tumor targeting while sparing critical normal tissues. However, the ViewRay MRIdian and Elekta Unity have improved upon and revolutionized the MRgRT by creating a combined MRI and linear accelerator (MRL), allowing MRgRT to incorporate online MRI in RT. MRL-based MR-guided SBRT (MRgSBRT) represents a novel solution to deliver higher doses to larger volumes of gross disease, regardless of the proximity of at-risk organs due to the (1) superior soft-tissue visualization for patient positioning, (2) real-time continuous intrafraction assessment of internal structures, and (3) daily online adaptive replanning. Stereotactic MR-guided adaptive radiation therapy (SMART) has enabled the safe delivery of ablative doses to tumors adjacent to radiosensitive tissues throughout the body. Although it is still a relatively new RT technique, SMART has demonstrated significant opportunities to improve disease control and reduce toxicity. In this review, we included the current clinical applications and the active prospective trials related to SMART. We highlighted the most impactful clinical studies at various tumor sites. In addition, we explored how MRL-based multiparametric MRI could potentially synergize with SMART to significantly change the current treatment paradigm and to improve personalized cancer care.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | - Stephen A. Rosenberg
- Department of Radiation Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, USA; (J.M.B.)
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Gaudreault M, Chang D, Hardcastle N, Jackson P, Kron T, Hofman MS, Siva S. Combined biology-guided radiotherapy and Lutetium PSMA theranostics treatment in metastatic castrate-resistant prostate cancer. Front Oncol 2023; 13:1134884. [PMID: 36994211 PMCID: PMC10040757 DOI: 10.3389/fonc.2023.1134884] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2022] [Accepted: 02/13/2023] [Indexed: 03/16/2023] Open
Abstract
BackgroundLutetium-177 [177Lu]-PSMA-617 is a targeted radioligand that binds to prostate-specific membrane antigen (PSMA) and delivers radiation to metastatic prostate cancer. The presence of PSMA-negative/FDG-positive metastases can preclude patients from being eligible for this treatment. Biology-guided radiotherapy (BgRT) is a treatment modality that utilises tumour PET emissions to guide external beam radiotherapy. The feasibility of combining BgRT and Lutetium-177 [177Lu]-PSMA-617 for patients with PSMA-negative/FDG-positive metastatic prostate cancer was explored.Materials and methodsAll patients excluded from the LuPSMA clinical trial (ID: ANZCTR12615000912583) due to PSMA/FDG discordance were retrospectively reviewed. A hypothetical workflow where PSMA-negative/FDG-positive metastases would be treated with BgRT whilst PSMA-positive metastases would be treated with Lutetium-177 [177Lu]-PSMA-617 was considered. Gross tumour volume (GTV) of PSMA-negative/FDG-positive tumours were delineated on the CT component of the FDG PET/CT scan. Tumours were deemed suitable for BgRT if (1) normalised SUV (nSUV), defined as the ratio of maximum SUV (SUVmax) inside the GTV to mean SUV inside a 5 mm/10 mm/20 mm margin expansion of the GTV, was larger than a pre-specified nSUV threshold and (2) there was no PET avidity inside the margin expansion.ResultsIn 75 patients screened for Lutetium-177 [177Lu]-PSMA-617 treatment, 6 patients were excluded due to PSMA/FDG discordance and 89 PSMA-negative/FDG-positive targets were identified. GTV volumes ranged from 0.3 cm3 to 186 cm3 (median GTV volume = 4.3 cm3, IQR = 2.2 cm3 – 7.4 cm3). SUVmax inside GTVs ranged between 3 and 12 (median SUVmax = 4.8, IQR = 3.9 – 6.2). With nSUV ≥ 3, 67%/54%/39% of all GTVs were suitable for BgRT within 5 mm/10 mm/20 mm from the tumour. Bone and lung metastases were the best candidates for BgRT (40%/27% of all tumours suitable for BgRT with nSUV ≥ 3 within 5 mm from the GTV were bone/lung GTVs).ConclusionsCombined BgRT/Lutetium-177 [177Lu]-PSMA-617 therapy is feasible for patients with PSMA/FDG discordant metastases.
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Affiliation(s)
- Mathieu Gaudreault
- Department of Physical Sciences, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, VIC, Australia
- *Correspondence: Mathieu Gaudreault,
| | - David Chang
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, VIC, Australia
- Department of Radiation Oncology, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
| | - Nicholas Hardcastle
- Department of Physical Sciences, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, VIC, Australia
- Centre for Medical Radiation Physics, University of Wollongong, Wollongong, NSW, Australia
| | - Price Jackson
- Department of Physical Sciences, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, VIC, Australia
| | - Tomas Kron
- Department of Physical Sciences, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, VIC, Australia
- Centre for Medical Radiation Physics, University of Wollongong, Wollongong, NSW, Australia
| | - Michael S. Hofman
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, VIC, Australia
- Molecular Imaging and Therapeutic Nuclear Medicine, Cancer Imaging, Prostate Cancer Theranostics and Imaging Centre of Excellence (ProsTIC), Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
| | - Shankar Siva
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, VIC, Australia
- Department of Radiation Oncology, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
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26
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Cheng X, Yang D, Saha D, Sun X, Shao Y. Integrated Small Animal PET/CT/RT with Onboard PET/CT Image Guidance for Preclinical Radiation Oncology Research. Tomography 2023; 9:567-578. [PMID: 36961005 PMCID: PMC10037572 DOI: 10.3390/tomography9020046] [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: 02/02/2023] [Revised: 02/22/2023] [Accepted: 03/02/2023] [Indexed: 03/08/2023] Open
Abstract
We have integrated a compact and lightweight PET with an existing CT image-guided small animal irradiator to enable practical onboard PET/CT image-guided preclinical radiation therapy (RT) research. The PET with a stationary and full-ring detectors has ~1.1 mm uniform spatial resolution over its imaging field-of-view of 8.0 cm diameter and 3.5 cm axial length and was mechanically installed inside the irradiator in a tandem configuration with CT and radiation unit. A common animal bed was used for acquiring sequential dual functional and anatomical images with independent PET and CT control and acquisition systems. The reconstructed dual images were co-registered based on standard multi-modality image calibration and registration processes. Phantom studies were conducted to evaluate the integrated system and dual imaging performance. The measured mean PET/CT image registration error was ~0.3 mm. With one-bed and three-bed acquisitions, initial tumor focused and whole-body [18F]FDG animal images were acquired to test the capability of onboard PET/CT image guidance for preclinical RT research. Overall, the results have shown that integrated PET/CT/RT can provide advantageous and practical onboard PET/CT image to significantly enhance the accuracy of tumor delineation and radiation targeting that should enhance the existing and enable new and potentially breakthrough preclinical RT research and applications.
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Affiliation(s)
- Xinyi Cheng
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
- Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Dongxu Yang
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
- Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Debabrata Saha
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
- Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Xiankai Sun
- Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
- Department of Radiology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
- Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Yiping Shao
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
- Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
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27
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Ladbury C, Eustace N, Amini A, Dandapani S, Williams T. Biology-Guided Radiation Therapy. Surg Oncol Clin N Am 2023; 32:553-568. [PMID: 37182992 DOI: 10.1016/j.soc.2023.02.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/29/2023]
Abstract
Biology-guided radiation therapy is an emerging field whereby delivery of external beam radiotherapy incorporates biological/molecular imaging to inform radiation treatment. At present, there is evidence for the use of functional imaging such as PET to evaluate treatment response in patients both during and after radiation treatment as well as to provide a method of adapting or selecting patient-specific treatments. Examples in thoracic, gastrointestinal, and hematologic malignancies are provided. Improvements in PET metrics, thresholds, and novel radiotracers will further move this novel field forward.
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Thorwarth D. Clinical use of positron emission tomography for radiotherapy planning - Medical physics considerations. Z Med Phys 2023; 33:13-21. [PMID: 36272949 PMCID: PMC10068574 DOI: 10.1016/j.zemedi.2022.09.001] [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: 04/13/2022] [Revised: 08/17/2022] [Accepted: 09/21/2022] [Indexed: 11/06/2022]
Abstract
PET/CT imaging plays an increasing role in radiotherapy treatment planning. The aim of this article was to identify the major use cases and technical as well as medical physics challenges during integration of these data into treatment planning. Dedicated aspects, such as (i) PET/CT-based radiotherapy simulation, (ii) PET-based target volume delineation, (iii) functional avoidance to optimized organ-at-risk sparing and (iv) functionally adapted individualized radiotherapy are discussed in this article. Furthermore, medical physics aspects to be taken into account are summarized and presented in form of check-lists.
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Affiliation(s)
- Daniela Thorwarth
- Section for Biomedical Physics, Department of Radiation Oncology, University of Tübingen, Tübingen, Germany; German Cancer Consortium (DKTK), partner site Tübingen; and German Cancer Research Center (DKFZ), Heidelberg, Germany.
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Ng J, Gregucci F, Pennell RT, Nagar H, Golden EB, Knisely JPS, Sanfilippo NJ, Formenti SC. MRI-LINAC: A transformative technology in radiation oncology. Front Oncol 2023; 13:1117874. [PMID: 36776309 PMCID: PMC9911688 DOI: 10.3389/fonc.2023.1117874] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Accepted: 01/16/2023] [Indexed: 01/28/2023] Open
Abstract
Advances in radiotherapy technologies have enabled more precise target guidance, improved treatment verification, and greater control and versatility in radiation delivery. Amongst the recent novel technologies, Magnetic Resonance Imaging (MRI) guided radiotherapy (MRgRT) may hold the greatest potential to improve the therapeutic gains of image-guided delivery of radiation dose. The ability of the MRI linear accelerator (LINAC) to image tumors and organs with on-table MRI, to manage organ motion and dose delivery in real-time, and to adapt the radiotherapy plan on the day of treatment while the patient is on the table are major advances relative to current conventional radiation treatments. These advanced techniques demand efficient coordination and communication between members of the treatment team. MRgRT could fundamentally transform the radiotherapy delivery process within radiation oncology centers through the reorganization of the patient and treatment team workflow process. However, the MRgRT technology currently is limited by accessibility due to the cost of capital investment and the time and personnel allocation needed for each fractional treatment and the unclear clinical benefit compared to conventional radiotherapy platforms. As the technology evolves and becomes more widely available, we present the case that MRgRT has the potential to become a widely utilized treatment platform and transform the radiation oncology treatment process just as earlier disruptive radiation therapy technologies have done.
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Affiliation(s)
- John Ng
- Department of Radiation Oncology, Weill Cornell Medicine, New York, NY, United States,*Correspondence: John Ng,
| | - Fabiana Gregucci
- Department of Radiation Oncology, Weill Cornell Medicine, New York, NY, United States,Department of Radiation Oncology, Miulli General Regional Hospital, Acquaviva delle Fonti, Bari, Italy
| | - Ryan T. Pennell
- Department of Radiation Oncology, Weill Cornell Medicine, New York, NY, United States
| | - Himanshu Nagar
- Department of Radiation Oncology, Weill Cornell Medicine, New York, NY, United States
| | - Encouse B. Golden
- Department of Radiation Oncology, Weill Cornell Medicine, New York, NY, United States
| | | | | | - Silvia C. Formenti
- Department of Radiation Oncology, Weill Cornell Medicine, New York, NY, United States
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Terlizzi M, Limkin E, Sellami N, Louvel G, Blanchard P. Is single fraction the future of stereotactic body radiation therapy (SBRT)? A critical appraisal of the current literature. Clin Transl Radiat Oncol 2023; 39:100584. [PMID: 36816840 PMCID: PMC9931895 DOI: 10.1016/j.ctro.2023.100584] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Revised: 01/15/2023] [Accepted: 01/15/2023] [Indexed: 01/26/2023] Open
Abstract
Stereotactic Body Radiation Therapy (SBRT) is a standard of care for many localizations but the question of the optimal fractionation remains a matter of concern. If single fraction sessions are routinely used for intracranial targets, their utilization for mobile extracranial lesions is a source of debate and apprehension. Single session treatments improve patient comfort, provide a medico-economic benefit, and have proven useful in the context of the SARS-CoV 2 pandemic. However, both technical and radiobiological uncertainties remain. Experience from intracranial radiosurgery has shown that the size of the target, its proximity to organs at risk, tumor histology, and the volume of normal tissue irradiated are all determining factors in the choice of fractionation. The literature on the use of single fraction for extracranial sites is still scarce. Only primary and secondary pulmonary tumors have been evaluated in prospective randomized trials, allowing the integration of these fractionation schemes in daily practice, for highly selected cases and in trained teams. The level of evidence for the other organs is mainly based on dose escalation or retrospective trials and calls for caution, with further studies being needed before routine use in clinical practice.
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31
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Salerno KE, Roy S, Ribaudo C, Fisher T, Patel RB, Mena E, Escorcia FE. A Primer on Radiopharmaceutical Therapy. Int J Radiat Oncol Biol Phys 2023; 115:48-59. [PMID: 35970373 PMCID: PMC9772089 DOI: 10.1016/j.ijrobp.2022.08.010] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Revised: 07/25/2022] [Accepted: 08/03/2022] [Indexed: 12/24/2022]
Abstract
The goal of this article is to serve as a primer for the United States-based radiation oncologist who may be interested in learning more about radiopharmaceutical therapy (RPT). Specifically, we define RPT, review the data behind its current and anticipated indications, and discuss important regulatory considerations for incorporating it into clinical practice. RPT represents an opportunity for radiation oncologists to leverage 2 key areas of expertise, namely therapeutic radiation therapy and oncology, and apply them in a distinct context in collaboration with nuclear medicine and medical oncology colleagues. Although not every radiation oncologist will incorporate RPT into their day-to-day practice, it is important to understand the role for this modality and how it can be appropriately used in select patients.
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Affiliation(s)
- Kilian E Salerno
- Radiation Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Soumyajit Roy
- Radiation Oncology Department, Rush Medical Center, Chicago, Illinois
| | - Cathy Ribaudo
- Division of Radiation Safety, National Institutes of Health, Bethesda, Maryland
| | - Teresa Fisher
- Division of Radiation Safety, National Institutes of Health, Bethesda, Maryland
| | - Ravi B Patel
- Radiation Oncology Department, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Esther Mena
- Molecular Imaging Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Freddy E Escorcia
- Radiation Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland; Molecular Imaging Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
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32
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Hu Z, Bieniosek M, Ferri V, Iagaru A, Kovalchuk N, Han B, Xing L, Vitzthum L, Olcott P, Narayanan M, Laurence T, Ren Y, Oderinde OM, Shirvani SM, Chang D, Surucu M. Image-mode performance characterisation of a positron emission tomography subsystem designed for Biology-guided radiotherapy (BgRT). Br J Radiol 2023; 96:20220387. [PMID: 36317922 PMCID: PMC10997023 DOI: 10.1259/bjr.20220387] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Revised: 09/19/2022] [Accepted: 10/17/2022] [Indexed: 11/07/2022] Open
Abstract
OBJECTIVES In this study, we characterise the imaging-mode performance of the positron emission tomography (PET) subsystem of the RefleXion X1 machine using the NEMA NU-2 2018 standard. METHODS The X1 machine consists of two symmetrically opposing 900 arcs of PET detectors incorporated into the architecture of a ring-gantry linear accelerator rotating up to 60 RPM. PET emissions from a tumour are detected by the PET detectors and used to guide the delivery of radiation beam. Imaging performance of the PET subsystem on X1 machine was evaluated based on sensitivity of the PET detectors, spatial resolution, count-loss performance, image quality, and daily system performance check. RESULTS PET subsystem sensitivity was measured as 0.183 and 0.161 cps/kBq at the center and off-center positions, respectively. Spatial resolution: average FWHM values of 4.3, 5.1, and 6.7 mm for the point sources at 1, 10, and 20 cm off center, respectively were recorded. For count loss, max NECR: 2.63 kcps, max true coincidence rate: 5.56 kcps, and scatter fraction: 39.8%. The 10 mm sphere was not visible. Image-quality contrast values were: 29.6%, 64.9%, 66.5%, 81.8%, 81.2%, and background variability: 14.8%, 12.4%, 10.3%, 8.8%, 8.3%, for the 13, 17, 22, 28, 37 mm sphere sizes, respectively. CONCLUSIONS When operating in an imaging mode, the spatial resolution and image contrast of the X1 PET subsystem were comparable to those of typical diagnostic imaging systems for large spheres, while the sensitivity and count rate were lower due to the significantly smaller PET detector area in the X1 system. Clinical efficacy when used in BgRT remains to be validated. ADVANCES IN KNOWLEDGE This is the first performance evaluation of the PET subsystem on the novel BgRT machine. The dual arcs rotating PET subsystem on RefleXion X1 machine performance is comparable to those of the typical diagnostic PET system based on the spatial resolution and image contrast for larger spheres.
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Affiliation(s)
| | | | | | - Andrei Iagaru
- Department of Radiology, Stanford University,
Stanford, CA
| | | | - Bin Han
- Department of Radiation Oncology, Stanford
University, Stanford, CA
| | - Lei Xing
- Department of Radiation Oncology, Stanford
University, Stanford, CA
| | - Lucas Vitzthum
- Department of Radiation Oncology, Stanford
University, Stanford, CA
| | | | | | | | - Yulan Ren
- Department of Radiation Oncology, Stanford
University, Stanford, CA
| | | | | | - Daniel Chang
- Department of Radiation Oncology, Stanford
University, Stanford, CA
| | - Murat Surucu
- Department of Radiation Oncology, Stanford
University, Stanford, CA
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33
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Volpe S, Isaksson LJ, Zaffaroni M, Pepa M, Raimondi S, Botta F, Lo Presti G, Vincini MG, Rampinelli C, Cremonesi M, de Marinis F, Spaggiari L, Gandini S, Guckenberger M, Orecchia R, Jereczek-Fossa BA. Impact of image filtering and assessment of volume-confounding effects on CT radiomic features and derived survival models in non-small cell lung cancer. Transl Lung Cancer Res 2022; 11:2452-2463. [PMID: 36636424 PMCID: PMC9830263 DOI: 10.21037/tlcr-22-248] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Accepted: 08/31/2022] [Indexed: 11/24/2022]
Abstract
Background No evidence supports the choice of specific imaging filtering methodologies in radiomics. As the volume of the primary tumor is a well-recognized prognosticator, our purpose is to assess how filtering may impact the feature/volume dependency in computed tomography (CT) images of non-small cell lung cancer (NSCLC), and if such impact translates into differences in the performance of survival modeling. The role of lesion volume in model performances was also considered and discussed. Methods Four-hundred seventeen CT images NSCLC patients were retrieved from the NSCLC-Radiomics public repository. Pre-processing and features extraction were implemented using Pyradiomics v3.0.1. Features showing high correlation with volume across original and filtered images were excluded. Cox proportional hazards (PH) with least absolute shrinkage and selection operator (LASSO) regularization and CatBoost models were built with and without volume, and their concordance (C-) indices were compared using Wilcoxon signed-ranked test. The Mann Whitney U test was used to assess model performances after stratification into two groups based on low- and high-volume lesions. Results Radiomic models significantly outperformed models built on only clinical variables and volume. However, the exclusion/inclusion of volume did not generally alter the performances of radiomic models. Overall, performances were not substantially affected by the choice of either imaging filter (overall C-index 0.539-0.590 for Cox PH and 0.589-0.612 for CatBoost). The separation of patients with high-volume lesions resulted in significantly better performances in 2/10 and 7/10 cases for Cox PH and CatBoost models, respectively. Both low- and high-volume models performed significantly better with the inclusion of radiomic features (P<0.0001), but the improvement was largest in the high-volume group (+10.2% against +8.7% improvement for CatBoost models and +10.0% against +5.4% in Cox PH models). Conclusions Radiomic features complement well-known prognostic factors such as volume, but their volume-dependency is high and should be managed with vigilance. The informative content of radiomic features may be diminished in small lesion volumes, which could limit the applicability of radiomics in early-stage NSCLC, where tumors tend to be small. Our results also suggest an advantage of CatBoost models over the Cox PH models.
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Affiliation(s)
- Stefania Volpe
- Division of Radiation Oncology, IEO, European Institute of Oncology IRCCS, Milan, Italy;,Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | | | - Mattia Zaffaroni
- Division of Radiation Oncology, IEO, European Institute of Oncology IRCCS, Milan, Italy
| | - Matteo Pepa
- Division of Radiation Oncology, IEO, European Institute of Oncology IRCCS, Milan, Italy
| | - Sara Raimondi
- Department of Experimental Oncology, IEO, European Institute of Oncology IRCCS, Milan, Italy
| | - Francesca Botta
- Medical Physics Unit, IEO, European Institute of Oncology IRCCS, Milan, Italy
| | - Giuliana Lo Presti
- Department of Experimental Oncology, IEO, European Institute of Oncology IRCCS, Milan, Italy
| | - Maria Giulia Vincini
- Division of Radiation Oncology, IEO, European Institute of Oncology IRCCS, Milan, Italy
| | - Cristiano Rampinelli
- Department of Radiology, IEO, European Institute of Oncology IRCCS, Milan, Italy
| | - Marta Cremonesi
- Radiation Research Unit, IEO, European Institute of Oncology IRCCS, Milan, Italy
| | - Filippo de Marinis
- Division of Thoracic Oncology, European Institute of Oncology, IRCCS, Milan, Italy
| | - Lorenzo Spaggiari
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy;,Division of Thoracic Surgery, European Institute of Oncology IRCCS, Milan, Italy
| | - Sara Gandini
- Department of Experimental Oncology, IEO, European Institute of Oncology IRCCS, Milan, Italy
| | - Matthias Guckenberger
- Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Roberto Orecchia
- Scientific Direction, IEO, European Institute of Oncology IRCCS, Milan, Italy
| | - Barbara Alicja Jereczek-Fossa
- Division of Radiation Oncology, IEO, European Institute of Oncology IRCCS, Milan, Italy;,Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
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34
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Vijayakumar S, Yang J, Nittala MR, Velazquez AE, Huddleston BL, Rugnath NA, Adari N, Yajurvedi AK, Komanduri A, Yang CC, Duggar WN, Berlin WP, Duszak R, Vijayakumar V. Changing Role of PET/CT in Cancer Care With a Focus on Radiotherapy. Cureus 2022; 14:e32840. [PMID: 36694538 PMCID: PMC9867792 DOI: 10.7759/cureus.32840] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/22/2022] [Indexed: 12/24/2022] Open
Abstract
Positron emission tomography (PET) integrated with computed tomography (CT) has brought revolutionary changes in improving cancer care (CC) for patients. These include improved detection of previously unrecognizable disease, ability to identify oligometastatic status enabling more aggressive treatment strategies when the disease burden is lower, its use in better defining treatment targets in radiotherapy (RT), ability to monitor treatment responses early and thus improve the ability for early interventions of non-responding tumors, and as a prognosticating tool as well as outcome predicting tool. PET/CT has enabled the emergence of new concepts such as radiobiotherapy (RBT), radioimmunotherapy, theranostics, and pharmaco-radiotherapy. This is a rapidly evolving field, and this primer is to help summarize the current status and to give an impetus to developing new ideas, clinical trials, and CC outcome improvements.
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Affiliation(s)
| | - Johnny Yang
- Radiation Oncology, University of Mississippi Medical Center, Jackson, USA
| | - Mary R Nittala
- Radiation Oncology, University of Mississippi Medical Center, Jackson, USA
| | | | | | - Nickhil A Rugnath
- Radiation Oncology, University of Mississippi Medical Center, Jackson, USA
| | - Neha Adari
- Radiation Oncology, University of Mississippi Medical Center, Jackson, USA
| | - Abhay K Yajurvedi
- Radiation Oncology, University of Mississippi Medical Center, Jackson, USA
| | - Abhinav Komanduri
- Radiation Oncology, University of Mississippi Medical Center, Jackson, USA
| | - Claus Chunli Yang
- Radiation Oncology, University of Mississippi Medical Center, Jackson, USA
| | - William N Duggar
- Radiation Oncology, University of Mississippi Medical Center, Jackson, USA
| | - William P Berlin
- Radiology, University of Mississippi Medical Center, Jackson, USA
| | - Richard Duszak
- Radiology, University of Mississippi Medical Center, Jackson, USA
| | - Vani Vijayakumar
- Radiology, University of Mississippi Medical Center, Jackson, USA
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35
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Seyedin SN, Bassalow R, Mawlawi OR, Turner LM, Patel RR, Mazin SR, Oderinde OM, Voronenko Y, Wages CA, Olcott PD, Chang JY, Balter PA, Welsh JW. The potential of biology-guided radiation therapy in thoracic cancer: A preliminary treatment planning study. Front Oncol 2022; 12:921473. [PMID: 36313653 PMCID: PMC9613936 DOI: 10.3389/fonc.2022.921473] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2022] [Accepted: 09/23/2022] [Indexed: 01/12/2023] Open
Abstract
Purpose We investigated the feasibility of biology-guided radiotherapy (BgRT), a technique that utilizes real-time positron emission imaging to minimize tumor motion uncertainties, to spare nearby organs at risk. Methods Volumetric modulated arc therapy (VMAT), intensity-modulated proton (IMPT) therapy, and BgRT plans were created for a paratracheal node recurrence (case 1; 60 Gy in 10 fractions) and a primary peripheral left upper lobe adenocarcinoma (case 2; 50 Gy in four fractions). Results For case 1, BgRT produced lower bronchus V40 values compared to VMAT and IMPT. For case 2, total lung V20 was lower in the BgRT case compared to VMAT and IMPT. Conclusions BgRT has the potential to reduce the radiation dose to proximal critical structures but requires further detailed investigation.
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Affiliation(s)
- Steven N. Seyedin
- Department of Radiation Oncology, University of California, Irvine-Chao Family Comprehensive Cancer Center, Orange, CA, United States
| | - Rostem Bassalow
- Northwest Medical Physics Center, Lynnwood, WA, United States
| | - Osama R. Mawlawi
- Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Lehendrick M. Turner
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Roshal R. Patel
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | | | | | | | - Cody A. Wages
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | | | - Joe Y. Chang
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Peter A. Balter
- Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - James W. Welsh
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
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36
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Beavis AW. Radioligand-Guided Radiation Therapy Planning. Int J Radiat Oncol Biol Phys 2022; 113:866-867. [PMID: 35772443 DOI: 10.1016/j.ijrobp.2022.03.037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Accepted: 03/30/2022] [Indexed: 10/17/2022]
Affiliation(s)
- Andrew W Beavis
- Department of Medical Physics, Hull University Teaching Hospitals NHS Trust, Cottingham, United Kingdom; Department of Biomedical Science, Faculty of Health Sciences, University of Hull, Hull, United Kingdom; Department of Radiotherapy and Oncology, Faculty of Health and Wellbeing, Sheffield-Hallam University, Sheffield, United Kingdom.
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37
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Abdollahi H, Chin E, Clark H, Hyde DE, Thomas S, Wu J, Uribe CF, Rahmim A. Radiomics-guided radiation therapy: opportunities and challenges. Phys Med Biol 2022; 67. [DOI: 10.1088/1361-6560/ac6fab] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Accepted: 05/13/2022] [Indexed: 11/11/2022]
Abstract
Abstract
Radiomics is an advanced image-processing framework, which extracts image features and considers them as biomarkers towards personalized medicine. Applications include disease detection, diagnosis, prognosis, and therapy response assessment/prediction. As radiation therapy aims for further individualized treatments, radiomics could play a critical role in various steps before, during and after treatment. Elucidation of the concept of radiomics-guided radiation therapy (RGRT) is the aim of this review, attempting to highlight opportunities and challenges underlying the use of radiomics to guide clinicians and physicists towards more effective radiation treatments. This work identifies the value of RGRT in various steps of radiotherapy from patient selection to follow-up, and subsequently provides recommendations to improve future radiotherapy using quantitative imaging features.
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38
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Radioresistance of Non-Small Cell Lung Cancers and Therapeutic Perspectives. Cancers (Basel) 2022; 14:cancers14122829. [PMID: 35740495 PMCID: PMC9221493 DOI: 10.3390/cancers14122829] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2022] [Revised: 06/02/2022] [Accepted: 06/04/2022] [Indexed: 12/24/2022] Open
Abstract
Survival in unresectable locally advanced stage non-small cell lung cancer (NSCLC) patients remains poor despite chemoradiotherapy. Recently, adjuvant immunotherapy improved survival for these patients but we are still far from curing most of the patients with only a 57% survival remaining at 3 years. This poor survival is due to the resistance to chemoradiotherapy, local relapses, and distant relapses. Several biological mechanisms have been found to be involved in the chemoradioresistance such as cancer stem cells, cancer mutation status, or the immune system. New drugs to overcome this radioresistance in NSCLCs have been investigated such as radiosensitizer treatments or immunotherapies. Different modalities of radiotherapy have also been investigated to improve efficacity such as dose escalation or proton irradiations. In this review, we focused on biological mechanisms such as the cancer stem cells, the cancer mutations, the antitumor immune response in the first part, then we explored some strategies to overcome this radioresistance in stage III NSCLCs with new drugs or radiotherapy modalities.
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Cheng X, Yang D, Zhong Y, Shao Y. Real-time marker-less tumor tracking with TOF PET: in silico feasibility study. Phys Med Biol 2022; 67. [DOI: 10.1088/1361-6560/ac6d9f] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Accepted: 05/06/2022] [Indexed: 11/12/2022]
Abstract
Abstract
Purpose. Although positron emission tomography (PET) can provide a functional image of static tumors for RT guidance, it’s conventionally very challenging for PET to track a moving tumor in real-time with a multiple frame/s sampling rate. In this study, we developed a novel method to enable PET based three-dimension (3D) real-time marker-less tumor tracking (RMTT) and demonstrated its feasibility with a simulation study. Methods. For each line-of-response (LOR) acquired, its positron-electron annihilation position is calculated based on the time difference between the two gamma interactions detected by the TOF PET detectors. The accumulation of these annihilation positions from data acquired within a single sampling frame forms a coarsely measured 3D distribution of positron-emitter radiotracer uptakes of the lung tumor and other organs and tissues (background). With clinically relevant tumor size and sufficient differential radiotracer uptake concentrations between the tumor and background, the high-uptake tumor can be differentiated from the surrounding low-uptake background in the measured distribution of radiotracer uptakes. With a volume-of-interest (VOI) that closely encloses the tumor, the count-weighted centroid of the annihilation positions within the VOI can be calculated as the tumor position. All these data processes can be conducted online. The feasibility of the new method was investigated with a simulated cardiac-torso digital phantom and stationary dual-panel TOF PET detectors to track a 28 mm diameter lung tumor with a 4:1 tumor-to-background 18FDG activity concentration ratio. Results. The initial study shows TOF PET based RMTT can achieve <2.0 mm tumor tracking accuracy with 5 frame s−1 sampling rate under the simulated conditions. In comparison, using reconstructed PET images to track a similar size tumor would require >30 s acquisition time to achieve the same tracking accuracy. Conclusion. With the demonstrated feasibility, the new method may enable TOF PET based RMTT for practical RT applications.
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40
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Jin JY. Prospect of radiotherapy technology development in the era of immunotherapy. JOURNAL OF THE NATIONAL CANCER CENTER 2022; 2:106-112. [PMID: 39034954 PMCID: PMC11256706 DOI: 10.1016/j.jncc.2022.04.001] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Revised: 04/06/2022] [Accepted: 04/08/2022] [Indexed: 10/18/2022] Open
Abstract
Radiotherapy (RT) is one of the important modalities for cancer treatments. Mounting evidence suggests that the host immune system is involved in the tumor cell killing during RT, and future RT technology development should aim to minimize radiation dose to the immune system while maintaining a sufficient dose to the tumor. A brief history of RT technology development is first summarized. Three RT technologies, namely FLASH RT, proton therapy, and spatially fractionated RT (SFRT), are singled out for the era of immunotherapy. Besides the technical aspects, the mechanism of FLASH effect is discussed, which is likely the combined results of the recombination effect, oxygen depletion effect and immune sparing effect. The proton therapy should have the advantage of causing much less immune damage in comparison to X-ray based RT due to the Bragg peak. However, the relative biological effectiveness (RBE) uncertainty and range uncertainty may hinder the translation of this advantage into clinical benefit. Research approaches to overcome these two technical hurdles are discussed. Various SFRT approaches and their application are reviewed. These approaches are categorized as single-field 1D/2D SFRT, multi-field 3D SFRT and quasi-3D SFRT techniques. A 3D SFRT approach, which is achieved by placing the Bragg peak of a proton 2D SFRT field in discrete depths, may have special potential because all 3 technologies (FLASH RT, proton therapy and SFRT) may be used in this approach.
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Affiliation(s)
- Jian-Yue Jin
- Radiation Oncology, Seidman Cancer Center, University Hospitals, Case Western Reserve University, Cleveland, United States
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41
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El Naqa I, Pogue BW, Zhang R, Oraiqat I, Parodi K. Image guidance for FLASH radiotherapy. Med Phys 2022; 49:4109-4122. [PMID: 35396707 PMCID: PMC9844128 DOI: 10.1002/mp.15662] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Revised: 03/10/2022] [Accepted: 03/30/2022] [Indexed: 01/19/2023] Open
Abstract
FLASH radiotherapy (FLASH-RT) is an emerging ultra-high dose (>40 Gy/s) delivery that promises to improve the therapeutic potential by limiting toxicities compared to conventional RT while maintaining similar tumor eradication efficacy. Image guidance is an essential component of modern RT that should be harnessed to meet the special emerging needs of FLASH-RT and its associated high risks in planning and delivering of such ultra-high doses in short period of times. Hence, this contribution will elaborate on the imaging requirements and possible solutions in the entire chain of FLASH-RT treatment, from the planning, through the setup and delivery with online in vivo imaging and dosimetry, up to the assessment of biological mechanisms and treatment response. In patient setup and delivery, higher temporal sampling than in conventional RT should ensure that the short treatment is delivered precisely to the targeted region. Additionally, conventional imaging tools such as cone-beam computed tomography will continue to play an important role in improving patient setup prior to delivery, while techniques based on magnetic resonance imaging or positron emission tomography may be extremely valuable for either linear accelerator (Linac) or particle FLASH therapy, to monitor and track anatomical changes during delivery. In either planning or assessing outcomes, quantitative functional imaging could supplement conventional imaging for more accurate utilization of the biological window of the FLASH effect, selecting for or verifying things such as tissue oxygen and existing or transient hypoxia on the relevant timescales of FLASH-RT delivery. Perhaps most importantly at this time, these tools might help improve the understanding of the biological mechanisms of FLASH-RT response in tumor and normal tissues. The high dose deposition of FLASH provides an opportunity to utilize pulse-to-pulse imaging tools such as Cherenkov or radiation acoustic emission imaging. These could provide individual pulse mapping or assessing the 3D dose delivery superficially or at tissue depth, respectively. In summary, the most promising components of modern RT should be used for safer application of FLASH-RT, and new promising developments could be advanced to cope with its novel demands but also exploit new opportunities in connection with the unique nature of pulsed delivery at unprecedented dose rates, opening a new era of biological image guidance and ultrafast, pulse-based in vivo dosimetry.
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Affiliation(s)
- Issam El Naqa
- Department of Machine Learning, Moffitt Cancer Center, Tampa, FL 33612, USA
| | - Brian W. Pogue
- Thayer School of Engineering, Dartmouth College, Hanover, NH 03755, USA
- Department of Medical Physics, University of Wisconsin-Madison, WI 53705, USA
| | - Rongxiao Zhang
- Giesel School of Medicine, Dartmouth College, Hanover, NH 03755, USA
| | - Ibrahim Oraiqat
- Department of Machine Learning, Moffitt Cancer Center, Tampa, FL 33612, USA
| | - Katia Parodi
- Department of Medical Physics, Ludwig-Maximilians-Universität München, Am Coulombwall 1, Garching 85748, Germany
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42
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Gaudreault M, Chang D, Hardcastle N, Jackson P, Kron T, Hanna GG, Hofman MS, Siva S. Utility of Biology-Guided Radiotherapy to De Novo Metastases Diagnosed During Staging of High-Risk Biopsy-Proven Prostate Cancer. Front Oncol 2022; 12:854589. [PMID: 35494012 PMCID: PMC9039647 DOI: 10.3389/fonc.2022.854589] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Accepted: 02/23/2022] [Indexed: 11/14/2022] Open
Abstract
Background Biology-guided radiotherapy (BgRT) uses real-time functional imaging to guide radiation therapy treatment. Positron emission tomography (PET) tracers targeting prostate-specific membrane antigen (PSMA) are superior for prostate cancer detection than conventional imaging. This study aims at describing nodal and distant metastasis distribution from prostate cancer and at determining the proportion of metastatic lesions suitable for BgRT. Methods A single-institution patient subset from the ProPSMA trial (ID ACTRN12617000005358) was analysed. Gross tumour volumes (GTV) were delineated on the CT component of a PSMA PET/CT scan. To determine the suitability of BgRT tracking zones, the normalized SUV (nSUV) was calculated as the ratio of SUVmax inside the GTV to the SUVmean of adjacent three-dimensional shells of thickness 5 mm/10 mm/20 mm as a measure of signal to background contrast. Targets were suitable for BgRT if (1) nSUV was larger than an nSUV threshold and (2) non-tumour tissue inside adjacent shell was free of PET-avid uptake. Results Of this cohort of 84 patients, 24 had at least one pelvic node or metastatic site disease, 1 to 13 lesions per patient, with a total of 98 lesions (60 pelvic nodes/38 extra-pelvic nodal diseases and haematogenous metastases). Target volumes ranged from 0.08 to 9.6 cm3 while SUVmax ranged from 2.1 to 55.0. nSUV ranged from 1.9 to 15.7/2.4 to 25.7/2.5 to 34.5 for the 5 mm/10 mm/20 mm shell expansion. Furthermore, 74%/68%/34% of the lesions had nSUV ≥ 3 and were free of PSMA PET uptake inside the GTV outer shell margin expansion of 5 mm/10 mm/20 mm. Adjacent avid organs were another lesion, bladder, bowel, ureter, prostate, and liver. Conclusions The majority of PSMA PET/CT-defined radiotherapy targets would be suitable for BgRT by using a 10-mm tracking zone in prostate cancer. A subset of lesions had adjacent non-tumour uptake, mainly due to the proximity of ureter or bladder, and may require exclusion from emission tracking during BgRT.
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Affiliation(s)
- Mathieu Gaudreault
- Department of Physical Sciences, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia.,Sir Peter MacCallum Department of Oncology, the University of Melbourne, Melbourne, VIC, Australia
| | - David Chang
- Sir Peter MacCallum Department of Oncology, the University of Melbourne, Melbourne, VIC, Australia.,Department of Radiation Oncology, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
| | - Nicholas Hardcastle
- Department of Physical Sciences, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia.,Sir Peter MacCallum Department of Oncology, the University of Melbourne, Melbourne, VIC, Australia.,Centre for Medical Radiation Physics, University of Wollongong, Wollongong, NSW, Australia
| | - Price Jackson
- Department of Physical Sciences, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia.,Sir Peter MacCallum Department of Oncology, the University of Melbourne, Melbourne, VIC, Australia
| | - Tomas Kron
- Department of Physical Sciences, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia.,Sir Peter MacCallum Department of Oncology, the University of Melbourne, Melbourne, VIC, Australia.,Centre for Medical Radiation Physics, University of Wollongong, Wollongong, NSW, Australia
| | - Gerard G Hanna
- Sir Peter MacCallum Department of Oncology, the University of Melbourne, Melbourne, VIC, Australia.,Department of Radiation Oncology, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
| | - Michael S Hofman
- Sir Peter MacCallum Department of Oncology, the University of Melbourne, Melbourne, VIC, Australia.,Department of Radiation Oncology, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia.,Molecular Imaging and Therapeutic Nuclear Medicine, Prostate Cancer Theranostics and Imaging Centre of Excellence (ProsTIC), Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
| | - Shankar Siva
- Sir Peter MacCallum Department of Oncology, the University of Melbourne, Melbourne, VIC, Australia.,Department of Radiation Oncology, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
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43
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Feasibility of biology-guided radiotherapy using PSMA-PET to boost to dominant intraprostatic tumour. Clin Transl Radiat Oncol 2022; 35:84-89. [PMID: 35662883 PMCID: PMC9156937 DOI: 10.1016/j.ctro.2022.05.005] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Revised: 05/11/2022] [Accepted: 05/13/2022] [Indexed: 11/23/2022] Open
Abstract
Biology-guided radiation therapy (BGRT) uses PET imaging for online image guidance. PSMA PET uptake is abundant in the dominant intraprostatic lesion (DIL). BgRT boost to PSMA-avid subvolume in the prostate region may be feasible. Suitable targets for BgRT were identified in the ProPSMA clinical trial.
Background Methods Results Conclusions
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44
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Paoletti L, Ceccarelli C, Menichelli C, Aristei C, Borghesi S, Tucci E, Bastiani P, Cozzi S. Special stereotactic radiotherapy techniques: procedures and equipment for treatment simulation and dose delivery. Rep Pract Oncol Radiother 2022; 27:1-9. [PMID: 35402024 PMCID: PMC8989452 DOI: 10.5603/rpor.a2021.0129] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Accepted: 11/14/2021] [Indexed: 12/25/2022] Open
Abstract
Stereotactic radiotherapy (SRT ) is a multi-step procedure with each step requiring extreme accuracy. Physician-dependent accuracy includes appropriate disease staging, multi-disciplinary discussion with shared decision-making, choice of morphological and functional imaging methods to identify and delineate the tumor target and organs at risk, an image-guided patient set-up, active or passive management of intra-fraction movement, clinical and instrumental follow-up. Medical physicist-dependent accuracy includes use of advanced software for treatment planning and more advanced Quality Assurance procedures than required for conventional radiotherapy. Consequently, all the professionals require appropriate training in skills for high-quality SRT. Thanks to the technological advances, SRT has moved from a “frame-based” technique, i.e. the use of stereotactic coordinates which are identified by means of rigid localization frames, to the modern “frame-less” SRT which localizes the target volume directly, or by means of anatomical surrogates or fiducial markers that have previously been placed within or near the target. This review describes all the SRT steps in depth, from target simulation and delineation procedures to treatment delivery and image-guided radiation therapy. Target movement assessment and management are also described.
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Affiliation(s)
- Lisa Paoletti
- Radiotherapy Unit, AUSL Toscana Centro, Florence, Italy
| | | | | | - Cynthia Aristei
- Radiation Oncology Section, University of Perugia and Perugia General Hospital, Italy
| | - Simona Borghesi
- Radiation Oncology Unit of Arezzo-Valdarno, Azienda USL Toscana Sud Est, Italy
| | - Enrico Tucci
- Radiation Oncology Unit of Arezzo-Valdarno, Azienda USL Toscana Sud Est, Italy
| | | | - Salvatore Cozzi
- Radiation Oncology Unit, Azienda Unità Sanitaria Locale - IRCCS di Reggio Emilia, Italy
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45
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Lefebvre TL, Brown E, Hacker L, Else T, Oraiopoulou ME, Tomaszewski MR, Jena R, Bohndiek SE. The Potential of Photoacoustic Imaging in Radiation Oncology. Front Oncol 2022; 12:803777. [PMID: 35311156 PMCID: PMC8928467 DOI: 10.3389/fonc.2022.803777] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Accepted: 02/07/2022] [Indexed: 12/16/2022] Open
Abstract
Radiotherapy is recognized globally as a mainstay of treatment in most solid tumors and is essential in both curative and palliative settings. Ionizing radiation is frequently combined with surgery, either preoperatively or postoperatively, and with systemic chemotherapy. Recent advances in imaging have enabled precise targeting of solid lesions yet substantial intratumoral heterogeneity means that treatment planning and monitoring remains a clinical challenge as therapy response can take weeks to manifest on conventional imaging and early indications of progression can be misleading. Photoacoustic imaging (PAI) is an emerging modality for molecular imaging of cancer, enabling non-invasive assessment of endogenous tissue chromophores with optical contrast at unprecedented spatio-temporal resolution. Preclinical studies in mouse models have shown that PAI could be used to assess response to radiotherapy and chemoradiotherapy based on changes in the tumor vascular architecture and blood oxygen saturation, which are closely linked to tumor hypoxia. Given the strong relationship between hypoxia and radio-resistance, PAI assessment of the tumor microenvironment has the potential to be applied longitudinally during radiotherapy to detect resistance at much earlier time-points than currently achieved by size measurements and tailor treatments based on tumor oxygen availability and vascular heterogeneity. Here, we review the current state-of-the-art in PAI in the context of radiotherapy research. Based on these studies, we identify promising applications of PAI in radiation oncology and discuss the future potential and outstanding challenges in the development of translational PAI biomarkers of early response to radiotherapy.
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Affiliation(s)
- Thierry L. Lefebvre
- Department of Physics, University of Cambridge, Cambridge, United Kingdom
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, United Kingdom
| | - Emma Brown
- Department of Physics, University of Cambridge, Cambridge, United Kingdom
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, United Kingdom
| | - Lina Hacker
- Department of Physics, University of Cambridge, Cambridge, United Kingdom
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, United Kingdom
| | - Thomas Else
- Department of Physics, University of Cambridge, Cambridge, United Kingdom
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, United Kingdom
| | - Mariam-Eleni Oraiopoulou
- Department of Physics, University of Cambridge, Cambridge, United Kingdom
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, United Kingdom
| | - Michal R. Tomaszewski
- Department of Cancer Physiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, United States
| | - Rajesh Jena
- Department of Oncology, University of Cambridge, Cambridge, United Kingdom
| | - Sarah E. Bohndiek
- Department of Physics, University of Cambridge, Cambridge, United Kingdom
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, United Kingdom
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Pham D, Simiele E, Breitkreutz D, Capaldi D, Han B, Surucu M, Oderinde S, Vitzthum L, Gensheimer M, Bagshaw H, Chin A, Xing L, Chang DT, Kovalchuk N. IMRT and SBRT Treatment Planning Study for the First Clinical Biology-Guided Radiotherapy System. Technol Cancer Res Treat 2022; 21:15330338221100231. [PMID: 35579876 PMCID: PMC9118457 DOI: 10.1177/15330338221100231] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Revised: 03/22/2022] [Accepted: 04/14/2022] [Indexed: 12/31/2022] Open
Abstract
Purpose: The first clinical biology-guided radiation therapy (BgRT) system-RefleXionTM X1-was installed and commissioned for clinical use at our institution. This study aimed at evaluating the treatment plan quality and delivery efficiency for IMRT/SBRT cases without PET guidance. Methods: A total of 42 patient plans across 6 cancer sites (conventionally fractionated lung, head, and neck, anus, prostate, brain, and lung SBRT) planned with the EclipseTM treatment planning system (TPS) and treated with either a TrueBeam® or Trilogy® were selected for this retrospective study. For each Eclipse VMAT plan, 2 corresponding plans were generated on the X1 TPS with 10 mm jaws (X1-10mm) and 20 mm jaws (X1-20mm) using our institutional planning constraints. All clinically relevant metrics in this study, including PTV D95%, PTV D2%, Conformity Index (CI), R50, organs-at-risk (OAR) constraints, and beam-on time were analyzed and compared between 126 VMAT and RefleXion plans using paired t-tests. Results: All but 3 planning metrics were either equivalent or superior for the X1-10mm plans as compared to the Eclipse VMAT plans across all planning sites investigated. The Eclipse VMAT and X1-10mm plans generally achieved superior plan quality and sharper dose fall-off superior/inferior to targets as compared to the X1-20mm plans, however, the X1-20mm plans were still considered acceptable for treatment. On average, the required beam-on time increased by a factor of 1.6 across all sites for X1-10mm compared to X1-20mm plans. Conclusions: Clinically acceptable IMRT/SBRT treatment plans were generated with the X1 TPS for both the 10 mm and 20 mm jaw settings.
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Affiliation(s)
- Daniel Pham
- Department of Radiation Oncology, Stanford University, Stanford, CA, USA
| | - Eric Simiele
- Department of Radiation Oncology, Rutgers Cancer Institute of New Jersey, Robert Wood Johnson Medical School, New Brunswick, NJ, USA
| | - Dylan Breitkreutz
- Department of Radiation Oncology, Stanford University, Stanford, CA, USA
| | - Dante Capaldi
- Department of Radiation Oncology, Stanford University, Stanford, CA, USA
| | - Bin Han
- Department of Radiation Oncology, Stanford University, Stanford, CA, USA
| | - Murat Surucu
- Department of Radiation Oncology, Stanford University, Stanford, CA, USA
| | | | - Lucas Vitzthum
- Department of Radiation Oncology, Stanford University, Stanford, CA, USA
| | - Michael Gensheimer
- Department of Radiation Oncology, Stanford University, Stanford, CA, USA
| | - Hilary Bagshaw
- Department of Radiation Oncology, Stanford University, Stanford, CA, USA
| | - Alex Chin
- Department of Radiation Oncology, Stanford University, Stanford, CA, USA
| | - Lei Xing
- Department of Radiation Oncology, Stanford University, Stanford, CA, USA
| | - DT Chang
- Department of Radiation Oncology, Stanford University, Stanford, CA, USA
| | - Natalyia Kovalchuk
- Department of Radiation Oncology, Stanford University, Stanford, CA, USA
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Sharma M, Nano TF, Akkati M, Milano MT, Morin O, Feng M. A systematic review and meta-analysis of liver tumor position variability during SBRT using various motion management and IGRT strategies. Radiother Oncol 2021; 166:195-202. [PMID: 34843841 DOI: 10.1016/j.radonc.2021.11.022] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Revised: 11/17/2021] [Accepted: 11/21/2021] [Indexed: 12/25/2022]
Abstract
PURPOSE To suggest PTV margins for liver SBRT with different motion management strategies based on a systematic review and meta-analysis. METHODS In accordance with Preferred-Reporting-Items-for-Systematic-Reviews-and-Meta-Analyses (PRISMA), a systematic review in PubMed, Embase and Medline databases was performed for liver tumor position variability. From an initial 533 studies published before October 2020, 36 studies were categorized as 18 free-breathing (FB; npatients = 401), 9 abdominal compression (AC; npatients = 145) and 9 breath-hold (BH; npatients = 126). A meta-analysis was performed on inter- and intra-fraction position variability to report weighted-mean with 95% confidence interval (CI95) in superior-inferior (SI), left-right (LR) and anterior-posterior (AP) directions. Furthermore, weighted-mean ITV margins were computed for FB (nstudies = 15, npatients = 373) and AC (nstudies = 6, npatients = 97) and PTV margins were computed for FB (nstudies = 6, npatients = 95), AC (nstudies = 7, npatients = 106) and BH (nstudies = 8, npatients = 133). RESULTS The FB weighted-mean intra-fraction variability, ITV margins and weighted-standard-deviation in mm were SI-9.7, CI95 = 9.3-10.1, 13.5 ± 4.9; LR-5.4, CI95 = 5.3-5.6, 7.3 ± 7.9; and AP-4.2, CI95 = 4.0-4.4, 6.3 ± 7.6. The inter-fraction-based results were SI-4.7, CI95 = 4.3-5.1, 5.7 ± 1.7; LR-1.4, CI95 = 1.1-1.6, 3.6 ± 2.7; and AP-2.8, CI95 = 2.5-3.1, 4.8 ± 2.1. For AC intra-fraction results in mm were SI-1.8, CI95 = 1.6-2.0, 2.6 ± 1.2; LR-0.7, CI95 = 0.6-0.8, 1.7 ± 1.5; and AP-0.9, CI95 = 0.8-1.0, 1.9 ± 1.7. The inter-fraction results were SI-2.6, CI95 = 2.3-3.0, 5.2 ± 2.9; LR-1.9, CI95 = 1.7-2.1, 4.0 ± 2.2; and AP-2.9, CI95 = 2.5-3.2, 5.8 ± 2.7. For BH the inter-fraction variability, and the weighted-mean PTV margins and weighted-standard-deviation in mm were SI-2.4, CI95 = 2.1-2.7, 5.6 ± 2.9; LR-1.8, CI95 = 1.3-2.2, 5.5 ± 1.7; and AP-1.4; CI95 = 1.2-1.7, 6.1 ± 2.1. CONCLUSION Our meta-analysis suggests a symmetric weighted-mean PTV margin of 6 mm might be appropriate for BH. For AC and FB, asymmetric PTV margins (weighted-mean margin of 4 mm (AP), 6 mm (SI/LR)) might be appropriate. For FB, if larger (>ITV margin) intra-fraction variability observed, the additional intra- and inter-fraction variability should be accounted in the PTV margin.
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Affiliation(s)
- Manju Sharma
- University of California, San Francisco, United States.
| | - Tomi F Nano
- University of California, San Francisco, United States
| | | | | | - Olivier Morin
- University of California, San Francisco, United States
| | - Mary Feng
- University of California, San Francisco, United States
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Abbott EM, Falzone N, Lenzo N, Vallis KA. Combining External Beam Radiation and Radionuclide Therapies: Rationale, Radiobiology, Results and Roadblocks. Clin Oncol (R Coll Radiol) 2021; 33:735-743. [PMID: 34544640 DOI: 10.1016/j.clon.2021.09.004] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Revised: 08/30/2021] [Accepted: 09/03/2021] [Indexed: 12/29/2022]
Abstract
The emergence of effective radionuclide therapeutics, such as radium-223 dichloride, [177Lu]Lu-DOTA-TATE and [177Lu]Lu-PSMA ligands, over the last 10 years is driving a rapid expansion in molecular radiotherapy (MRT) research. Clinical trials that are underway will help to define optimal dosing protocols and identify groups of patients who are likely to benefit from this form of treatment. Clinical investigations are also being conducted to combine new MRT agents with other anticancer drugs, with particular emphasis on DNA repair inhibitors and immunotherapeutics. In this review, the case is presented for combining MRT with external beam radiotherapy (EBRT). The technical and dosimetric challenges of combining two radiotherapeutic modalities have impeded progress in the past. However, the need for research into the specific radiobiological effects of radionuclide therapy, which has lagged behind that for EBRT, has been recognised. This, together with innovations in imaging technology, MRT dosimetry tools and EBRT hardware, will facilitate the future use of this important combination of treatments.
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Affiliation(s)
- E M Abbott
- MIM Software Inc., Cleveland, Ohio, USA.
| | - N Falzone
- GenesisCare, Alexandria, New South Wales, Australia.
| | - N Lenzo
- GenesisCare Theranostics, St John of God Murdoch Cancer Centre, Murdoch, Western Australia, Australia; Department of Medicine, Notre Dame University Australia, Fremantle, Western Australia, Australia
| | - K A Vallis
- Oxford Institute for Radiation Oncology, University of Oxford, Oxford, UK.
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