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Aznar MC, Bergler-Klein J, Boriani G, Cutter DJ, Hurkmans C, Levis M, López-Fernández T, Lyon AR, Maraldo MV. Cardiovascular toxicities of radiotherapy: From practical issues to new perspectives. Radiother Oncol 2024; 197:110336. [PMID: 38797493 DOI: 10.1016/j.radonc.2024.110336] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2024] [Revised: 05/09/2024] [Accepted: 05/13/2024] [Indexed: 05/29/2024]
Affiliation(s)
- Marianne C Aznar
- Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, the United Kingdom of Great Britain and Northern Ireland.
| | | | - Giuseppe Boriani
- Cardiology Division, Department of Biomedical, Metabolic and Neural SciencesUniversity of Modena and Reggio Emilia, Policlinico di Modena, Modena, Italy
| | - David J Cutter
- Nuffield Department of Population Health, University of Oxford, Oxford, the United Kingdom of Great Britain and Northern Ireland; Oxford Cancer and Haematology Centre, Oxford University Hospitals NHS Foundation Trust, Churchill Hospital, Oxford, the United Kingdom of Great Britain and Northern Ireland
| | - Coen Hurkmans
- Dept of Radiation Therapy, Catharina Hospital Eindhoven, the Netherlands; Dept of Electrical Engineering and Dept of Applied Physics, Technical University Eindhoven, the Netherlands
| | - Mario Levis
- Department of Oncology, University of Turin, Turin, Italy
| | - Teresa López-Fernández
- Cardiology Department, Cardio-Oncology Unit, La Paz University Hospital, IdiPAZ Research Institute, Madrid, Spain; Cardiology Department, Cardio-Oncology Unit, Quironsalud Madrid University Hospital, Madrid, Spain
| | - Alexander R Lyon
- Cardio-Oncology Service, Royal Brompton Hospital, London, the United Kingdom of Great Britain and Northern Ireland
| | - Maja V Maraldo
- Dept of Oncology, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark; Dept of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
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Jahng JWS, Little MP, No HJ, Loo BW, Wu JC. Consequences of ionizing radiation exposure to the cardiovascular system. Nat Rev Cardiol 2024:10.1038/s41569-024-01056-4. [PMID: 38987578 DOI: 10.1038/s41569-024-01056-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/11/2024] [Indexed: 07/12/2024]
Abstract
Ionizing radiation is widely used in various industrial and medical applications, resulting in increased exposure for certain populations. Lessons from radiation accidents and occupational exposure have highlighted the cardiovascular and cerebrovascular risks associated with radiation exposure. In addition, radiation therapy for cancer has been linked to numerous cardiovascular complications, depending on the distribution of the dose by volume in the heart and other relevant target tissues in the circulatory system. The manifestation of symptoms is influenced by numerous factors, and distinct cardiac complications have previously been observed in different groups of patients with cancer undergoing radiation therapy. However, in contemporary radiation therapy, advances in treatment planning with conformal radiation delivery have markedly reduced the mean heart dose and volume of exposure, and these variables are therefore no longer sole surrogates for predicting the risk of specific types of heart disease. Nevertheless, certain cardiac substructures remain vulnerable to radiation exposure, necessitating close monitoring. In this Review, we provide a comprehensive overview of the consequences of radiation exposure on the cardiovascular system, drawing insights from various cohorts exposed to uniform, whole-body radiation or to partial-body irradiation, and identify potential risk modifiers in the development of radiation-associated cardiovascular disease.
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Affiliation(s)
- James W S Jahng
- Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, USA.
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
| | - Mark P Little
- Radiation Epidemiology Branch, National Cancer Institute, Bethesda, MD, USA
- Faculty of Health and Life Sciences, Oxford Brookes University, Headington Campus, Oxford, UK
| | - Hyunsoo J No
- Department of Radiation Oncology, Southern California Permanente Medical Group, Los Angeles, CA, USA
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA, USA
| | - Billy W Loo
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA, USA
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Joseph C Wu
- Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, USA.
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
- Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA.
- Greenstone Biosciences, Palo Alto, CA, USA.
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3
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Zhang SC, Nikolova AP, Kamrava M, Mak RH, Atkins KM. A roadmap for modelling radiation-induced cardiac disease. J Med Imaging Radiat Oncol 2024. [PMID: 38985978 DOI: 10.1111/1754-9485.13716] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Accepted: 05/21/2024] [Indexed: 07/12/2024]
Abstract
Cardiac risk mitigation is a major priority in improving outcomes for cancer survivors as advances in cancer screening and treatments continue to decrease cancer mortality. More than half of adult cancer patients will be treated with radiotherapy (RT); therefore it is crucial to develop a framework for how to assess and predict radiation-induced cardiac disease (RICD). Historically, RICD was modelled solely using whole heart metrics such as mean heart dose. However, data over the past decade has identified cardiac substructures which outperform whole heart metrics in predicting for significant cardiac events. Additionally, non-RT factors such as pre-existing cardiovascular risk factors and toxicity from other therapies contribute to risk of future cardiac events. In this review, we aim to discuss the current evidence and knowledge gaps in predicting RICD and provide a roadmap for the development of comprehensive models based on three interrelated components, (1) baseline CV risk assessment, (2) cardiac substructure radiation dosimetry linked with cardiac-specific outcomes and (3) novel biomarker development.
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Affiliation(s)
- Samuel C Zhang
- Department of Radiation Oncology, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Andriana P Nikolova
- Department of Cardiology, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Mitchell Kamrava
- Department of Radiation Oncology, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Raymond H Mak
- Department of Radiation Oncology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Katelyn M Atkins
- Department of Radiation Oncology, Cedars-Sinai Medical Center, Los Angeles, California, USA
- Department of Cardiology, Cedars-Sinai Medical Center, Los Angeles, California, USA
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Chin V, Finnegan RN, Chlap P, Holloway L, Thwaites DI, Otton J, Delaney GP, Vinod SK. Dosimetric Impact of Delineation and Motion Uncertainties on the Heart and Substructures in Lung Cancer Radiotherapy. Clin Oncol (R Coll Radiol) 2024; 36:420-429. [PMID: 38649309 DOI: 10.1016/j.clon.2024.04.002] [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: 07/17/2023] [Revised: 03/27/2024] [Accepted: 04/02/2024] [Indexed: 04/25/2024]
Abstract
AIMS Delineation variations and organ motion produce difficult-to-quantify uncertainties in planned radiation doses to targets and organs at risk. Similar to manual contouring, most automatic segmentation tools generate single delineations per structure; however, this does not indicate the range of clinically acceptable delineations. This study develops a method to generate a range of automatic cardiac structure segmentations, incorporating motion and delineation uncertainty, and evaluates the dosimetric impact in lung cancer. MATERIALS AND METHODS Eighteen cardiac structures were delineated using a locally developed auto-segmentation tool. It was applied to lung cancer planning CTs for 27 curative (planned dose ≥50 Gy) cases, and delineation variations were estimated by using ten mapping-atlases to provide separate substructure segmentations. Motion-related cardiac segmentation variations were estimated by auto-contouring structures on ten respiratory phases for 9/27 cases that had 4D-planning CTs. Dose volume histograms (DVHs) incorporating these variations were generated for comparison. RESULTS Variations in mean doses (Dmean), defined as the range in values across ten feasible auto-segmentations, were calculated for each cardiac substructure. Over the study cohort the median variations for delineation uncertainty and motion were 2.20-11.09 Gy and 0.72-4.06 Gy, respectively. As relative values, variations in Dmean were between 18.7%-65.3% and 7.8%-32.5% for delineation uncertainty and motion, respectively. Doses vary depending on the individual planned dose distribution, not simply on segmentation differences, with larger dose variations to cardiac structures lying within areas of steep dose gradient. CONCLUSION Radiotherapy dose uncertainties from delineation variations and respiratory-related heart motion were quantified using a cardiac substructure automatic segmentation tool. This predicts the 'dose range' where doses to structures are most likely to fall, rather than single DVH curves. This enables consideration of these uncertainties in cardiotoxicity research and for future plan optimisation. The tool was designed for cardiac structures, but similar methods are potentially applicable to other OARs.
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Affiliation(s)
- V Chin
- University of New South Wales, South Western Sydney Clinical School, Sydney, Australia; Liverpool and Macarthur Cancer Therapy Centres, Department of Radiation Oncology, Sydney, Australia; Ingham Institute for Applied Medical Research, Sydney, Australia; University of Sydney, Image X Institute, Sydney, Australia.
| | - R N Finnegan
- Ingham Institute for Applied Medical Research, Sydney, Australia; University of Sydney, Institute of Medical Physics, Sydney, Australia; Northern Sydney Cancer Centre, Royal North Shore Hospital, Sydney, Australia
| | - P Chlap
- University of New South Wales, South Western Sydney Clinical School, Sydney, Australia; Liverpool and Macarthur Cancer Therapy Centres, Department of Radiation Oncology, Sydney, Australia; Ingham Institute for Applied Medical Research, Sydney, Australia
| | - L Holloway
- University of New South Wales, South Western Sydney Clinical School, Sydney, Australia; Liverpool and Macarthur Cancer Therapy Centres, Department of Radiation Oncology, Sydney, Australia; Ingham Institute for Applied Medical Research, Sydney, Australia; University of Sydney, Institute of Medical Physics, Sydney, Australia
| | - D I Thwaites
- University of Sydney, Institute of Medical Physics, Sydney, Australia; St James's Hospital and University of Leeds, Leeds Institute of Medical Research, Radiotherapy Research Group, Leeds, United Kingdom
| | - J Otton
- University of New South Wales, South Western Sydney Clinical School, Sydney, Australia; Liverpool Hospital, Department of Cardiology, Sydney, Australia
| | - G P Delaney
- University of New South Wales, South Western Sydney Clinical School, Sydney, Australia; Liverpool and Macarthur Cancer Therapy Centres, Department of Radiation Oncology, Sydney, Australia; Ingham Institute for Applied Medical Research, Sydney, Australia
| | - S K Vinod
- University of New South Wales, South Western Sydney Clinical School, Sydney, Australia; Liverpool and Macarthur Cancer Therapy Centres, Department of Radiation Oncology, Sydney, Australia; Ingham Institute for Applied Medical Research, Sydney, Australia
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5
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Basse C, Khalifa J, Thillays F, Le Pechoux C, Maury JM, Bonte PE, Coutte A, Pourel N, Bourbonne V, Pradier O, Belliere A, Le Tinier F, Deberne M, Tanguy R, Denis F, Padovani L, Zaccariotto A, Molina T, Chalabreysse L, Brioude G, Delatour B, Faivre JC, Cao K, Giraud P, Riet FG, Thureau S, Antoni D, Massabeau C, Keller A, Bonnet E, Lerouge D, Martin E, Girard N, Botticella A. Recommendations for Post-Operative RadioTherapy After Complete Resection of Thymoma-a French DELPHI Consensus Initiative. J Thorac Oncol 2024; 19:1095-1107. [PMID: 38608932 DOI: 10.1016/j.jtho.2024.04.003] [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: 10/22/2023] [Revised: 03/29/2024] [Accepted: 04/06/2024] [Indexed: 04/14/2024]
Abstract
INTRODUCTION Thymomas are rare intrathoracic malignancies that can relapse after surgery. Whether or not Post-Operative RadioTherapy (PORT) should be delivered after surgery remains a major issue. RADIORYTHMIC is an ongoing, multicenter, randomized phase 3 trial addressing this question in patients with completely R0 resected Masaoka-Koga stage IIb/III thymoma. Experts in the field met to develop recommendations for PORT. METHODS A scientific committee from the RYTHMIC network identified key issues regarding the modalities of PORT in completely resected thymoma. A DELPHI method was used to question 24 national experts, with 115 questions regarding the following: (1) imaging techniques, (2) clinical target volume (CTV) and margins, (3) dose constraints to organs at risk, (4) dose and fractionation, and (5) follow-up and records. Consensus was defined when opinions reached more than or equal to 80% agreement. RESULTS We established the following recommendations: preoperative contrast-enhanced computed tomography (CT) scan is recommended (94% agreement); optimization of radiation delivery includes either a four-dimensional CT-based planning (82% agreement), a breath-holding inspiration breath-hold-based planning, or daily control CT imaging (81% agreement); imaging fusion based on cardiovascular structures of preoperative and planning CT scan is recommended (82% agreement); right coronary and left anterior descending coronary arteries should be delineated as cardiac substructures (88% agreement); rotational RCMI/volumetric modulated arc therapy is recommended (88% agreement); total dose is 50 Gy (81% agreement) with 1.8 to 2 Gy per fraction (94% agreement); cardiac evaluation and follow-up for patients with history of cardiovascular disease are recommended (88% agreement) with electrocardiogram and evaluation of left ventricular ejection fraction at 5 years and 10 years. CONCLUSION This is the first consensus for PORT in thymoma. Implementation will help to harmonize practices.
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Affiliation(s)
- Clémence Basse
- Institut du Thorax Curie-Montsouris, Institut Curie, Paris, France; Paris Saclay Campus, Versailles Saint Quentin University, Versailles, France
| | - Jonathan Khalifa
- Department of Radiotherapy, Institut Claudius Rigaud, Institut Universitaire du Cancer de Toulouse Oncopole, Toulouse, France
| | - François Thillays
- Department of Radiation Oncology, Institut de Cancérologie de l'Ouest Centre René Gauducheau, Nantes, France
| | - Cécile Le Pechoux
- Department of Radiation Oncology, Institut Gustave Roussy, Villejuif, France
| | - Jean-Michel Maury
- Department of Thoracic Surgery, Lung and Heart-Lung Transplantation, Louis Pradel Hospital, Hospices Civils de Lyon, Lyon, France; IVPC UMR754 INRA, Univ Lyon, Université Claude Bernard Lyon 1, EPHE, Lyon, France
| | | | | | - Nicolas Pourel
- Radiation Department, Institut Sainte Catherine, Avignon, France
| | - Vincent Bourbonne
- Department of Radiotherapy, University Hospital of Brest, Brest, France
| | - Olivier Pradier
- Department of Radiotherapy, University Hospital of Brest, Brest, France
| | - Aurélie Belliere
- Department of Radiotherapy, Centre Jean Perrin, Clermont-Ferrand, France
| | | | - Mélanie Deberne
- Department of Radiotherapy, Hospices Civils Lyonnais, Lyon, France
| | - Ronan Tanguy
- Department of Radiotherapy, Hospices Civils Lyonnais, Lyon, France
| | - Fabrice Denis
- Department of Radiotherapy, Centre de Cancérologie de la Sarthe, ELSAN, Le Mans, France
| | - Laetitia Padovani
- Department of Radiotherapy, Assistance Publique Hôpitaux de Marseille, Marseille, France
| | - Audrey Zaccariotto
- Department of Radiotherapy, Assistance Publique Hôpitaux de Marseille, Marseille, France
| | - Thierry Molina
- Pathology Department, Necker Enfants Malades Hospital, Université Paris Descartes, Assistance Publique-Hôpitaux de Paris (AP-HP), Paris, France
| | - Lara Chalabreysse
- Department of Pathology, Groupement Hospitalier Est, Bron Cedex Lyon, France
| | - Geoffrey Brioude
- Department of Thoracic Surgery, Disease of the Oesophagus and Lung Transplantations, Hôpital Nord, Aix-Marseille University, Marseille, France
| | - Bertrand Delatour
- Department of Thoracic and Cardiovascular Surgery, Rennes University Hospital Center, Rennes, France
| | | | - Kim Cao
- Institut du Thorax Curie-Montsouris, Institut Curie, Paris, France
| | - Philippe Giraud
- Paris City University, Department of Radiation Oncology, Hopital Européen Georges Pompidou, Paris, France
| | | | | | - Delphine Antoni
- Department of Radiotherapy, ICANS, Institut de Cancérologie de Strasbourg, Strasbourg, France
| | - Carole Massabeau
- Department of Radiotherapy, Institut Claudius Rigaud, Toulouse, France
| | - Audrey Keller
- Department of Radiotherapy, Institut Claudius Rigaud, Toulouse, France
| | - Emilie Bonnet
- Department of Radiotherapy, IMR de Valence, Valence, France
| | | | - Etienne Martin
- Department of Radiotherapy, Centre Georges-François-Leclerc, Dijon, France
| | - Nicolas Girard
- Institut du Thorax Curie-Montsouris, Institut Curie, Paris, France; Paris Saclay Campus, Versailles Saint Quentin University, Versailles, France.
| | - Angela Botticella
- Department of Radiation Oncology, Institut Gustave Roussy, Villejuif, France
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Finnegan RN, Quinn A, Booth J, Belous G, Hardcastle N, Stewart M, Griffiths B, Carroll S, Thwaites DI. Cardiac substructure delineation in radiation therapy - A state-of-the-art review. J Med Imaging Radiat Oncol 2024. [PMID: 38757728 DOI: 10.1111/1754-9485.13668] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Accepted: 04/29/2024] [Indexed: 05/18/2024]
Abstract
Delineation of cardiac substructures is crucial for a better understanding of radiation-related cardiotoxicities and to facilitate accurate and precise cardiac dose calculation for developing and applying risk models. This review examines recent advancements in cardiac substructure delineation in the radiation therapy (RT) context, aiming to provide a comprehensive overview of the current level of knowledge, challenges and future directions in this evolving field. Imaging used for RT planning presents challenges in reliably visualising cardiac anatomy. Although cardiac atlases and contouring guidelines aid in standardisation and reduction of variability, significant uncertainties remain in defining cardiac anatomy. Coupled with the inherent complexity of the heart, this necessitates auto-contouring for consistent large-scale data analysis and improved efficiency in prospective applications. Auto-contouring models, developed primarily for breast and lung cancer RT, have demonstrated performance comparable to manual contouring, marking a significant milestone in the evolution of cardiac delineation practices. Nevertheless, several key concerns require further investigation. There is an unmet need for expanding cardiac auto-contouring models to encompass a broader range of cancer sites. A shift in focus is needed from ensuring accuracy to enhancing the robustness and accessibility of auto-contouring models. Addressing these challenges is paramount for the integration of cardiac substructure delineation and associated risk models into routine clinical practice, thereby improving the safety of RT for future cancer patients.
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Affiliation(s)
- Robert N Finnegan
- Northern Sydney Cancer Centre, Royal North Shore Hospital, Sydney, New South Wales, Australia
- Institute of Medical Physics, School of Physics, University of Sydney, Sydney, New South Wales, Australia
| | - Alexandra Quinn
- Northern Sydney Cancer Centre, Royal North Shore Hospital, Sydney, New South Wales, Australia
| | - Jeremy Booth
- Northern Sydney Cancer Centre, Royal North Shore Hospital, Sydney, New South Wales, Australia
- Institute of Medical Physics, School of Physics, University of Sydney, Sydney, New South Wales, Australia
| | - Gregg Belous
- Australian e-Health Research Centre, Commonwealth Scientific and Industrial Research Organisation, Brisbane, Queensland, Australia
| | - Nicholas Hardcastle
- Department of Physical Sciences, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Victoria, Australia
| | - Maegan Stewart
- Northern Sydney Cancer Centre, Royal North Shore Hospital, Sydney, New South Wales, Australia
- School of Health Sciences, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
| | - Brooke Griffiths
- Northern Sydney Cancer Centre, Royal North Shore Hospital, Sydney, New South Wales, Australia
| | - Susan Carroll
- Northern Sydney Cancer Centre, Royal North Shore Hospital, Sydney, New South Wales, Australia
- School of Health Sciences, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
| | - David I Thwaites
- Institute of Medical Physics, School of Physics, University of Sydney, Sydney, New South Wales, Australia
- Radiotherapy Research Group, Leeds Institute of Medical Research, St James's Hospital and University of Leeds, Leeds, UK
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7
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Dover L, Dulaney C. PROshot: Regional Nodal Irradiation, Prophylactic Radiation for Bone Metastases, Adaptive Therapy for Hodgkin Lymphoma, Immunoscore, and Heart Dosimetry. Pract Radiat Oncol 2024; 14:175-180. [PMID: 38702114 DOI: 10.1016/j.prro.2024.01.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Revised: 01/22/2024] [Accepted: 01/23/2024] [Indexed: 05/06/2024]
Affiliation(s)
- Laura Dover
- Department of Radiation Oncology, Ascension St. Vincent's East, Birmingham, Alabama
| | - Caleb Dulaney
- Department of Radiation Oncology, Anderson Regional Health System, Meridian, Mississippi.
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8
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Finazzi T, Putora PM. Shining a Light: Unveiling Cardiac Risks Using Positron Emission Tomography Imaging in Lung Cancer Radiotherapy. JCO Clin Cancer Inform 2024; 8:e2400045. [PMID: 38603639 DOI: 10.1200/cci.24.00045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2024] [Accepted: 03/02/2024] [Indexed: 04/13/2024] Open
Affiliation(s)
- Tobias Finazzi
- Clinic of Radiotherapy and Radiation Oncology, University Hospital Basel, Basel, Switzerland
| | - Paul Martin Putora
- Department of Radiation Oncology, Kantonsspital St Gallen, St Gallen, Switzerland
- Department of Radiation Oncology, Inselspital (Bern University Hospital), University of Bern, Bern, Switzerland
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Olloni A, Brink C, Lorenzen EL, Jeppesen SS, Hofmann L, Kristiansen C, Knap MM, Møller DS, Nygård L, Persson GF, Thing RS, Sand HMB, Diederichsen A, Schytte T. Heart and Lung Dose as Predictors of Overall Survival in Patients With Locally Advanced Lung Cancer. A National Multicenter Study. JTO Clin Res Rep 2024; 5:100663. [PMID: 38590728 PMCID: PMC10999485 DOI: 10.1016/j.jtocrr.2024.100663] [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: 09/05/2023] [Revised: 01/21/2024] [Accepted: 03/07/2024] [Indexed: 04/10/2024] Open
Abstract
Introduction It is an ongoing debate how much lung and heart irradiation impact overall survival (OS) after definitive radiotherapy for lung cancer. This study uses a large national cohort of patients with locally advanced NSCLC to investigate the association between OS and irradiation of lung and heart. Methods Treatment plans were acquired from six Danish radiotherapy centers, and patient characteristics were obtained from national registries. A hybrid segmentation tool automatically delineated the heart and substructures. Dose-volume histograms for all structures were extracted and analyzed using principal component analyses (PCAs). Parameter selection for a multivariable Cox model for OS prediction was performed using cross-validation based on bootstrapping. Results The population consisted of 644 patients with a median survival of 26 months (95% confidence interval [CI]: 24-29). The cross-validation selected two PCA variables to be included in the multivariable model. PCA1 represented irradiation of the heart and affected OS negatively (hazard ratio, 1.14; 95% CI: 1.04-1.26). PCA2 characterized the left-right balance (right atrium and left ventricle) irradiation, showing better survival for tumors near the right side (hazard ratio, 0.92; 95% CI: 0.84-1.00). Besides the two PCA variables, the multivariable model included age, sex, body-mass index, performance status, tumor dose, and tumor volume. Conclusions Besides the classic noncardiac risk factors, lung and heart doses had a negative impact on survival, while it is suggested that the left side of the heart is a more radiation dose-sensitive region. The data indicate that overall heart irradiation should be reduced to improve the OS if possible.
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Affiliation(s)
- Agon Olloni
- Department of Oncology, Odense University Hospital, Odense, Denmark
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
- Academy of Geriatric Cancer Research (AgeCare), Odense University Hospital, Odense, Denmark
| | - Carsten Brink
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
- Laboratory of Radiation Physics, Department of Oncology, Odense University Hospital, Odense, Denmark
| | - Ebbe Laugaard Lorenzen
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
- Laboratory of Radiation Physics, Department of Oncology, Odense University Hospital, Odense, Denmark
| | - Stefan Starup Jeppesen
- Department of Oncology, Odense University Hospital, Odense, Denmark
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
- Academy of Geriatric Cancer Research (AgeCare), Odense University Hospital, Odense, Denmark
| | - Lone Hofmann
- Department of Oncology, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Faculty of Health Sciences, Aarhus University, Aarhus, Denmark
| | - Charlotte Kristiansen
- Department of Oncology, Vejle Hospital, University Hospital of Southern Denmark, Vejle, Denmark
| | | | - Ditte Sloth Møller
- Department of Oncology, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Faculty of Health Sciences, Aarhus University, Aarhus, Denmark
| | - Lotte Nygård
- Department of Oncology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Gitte Fredberg Persson
- Department of Oncology, Herlev and Gentofte Copenhagen University Hospital, Copenhagen, Denmark
- Department of Clinical Medicine, Copenhagen University, Copenhagen, Denmark
| | - Rune Slot Thing
- Department of Oncology, Vejle Hospital, University Hospital of Southern Denmark, Vejle, Denmark
| | | | - Axel Diederichsen
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
- Department of Cardiology, Odense University Hospital, Odense, Denmark
| | - Tine Schytte
- Department of Oncology, Odense University Hospital, Odense, Denmark
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
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Vaugier L, Martin-Mervoyer E, Ah-Thiane L, Langé M, Ollivier L, Perennec T, Supiot S, Duvergé L, Lucia F, Trémolières P, Movassaghi R, Fresse-Warin K, Moignier A, Thillays F. How to contour the different heart subregions for future deep-learning modeling of the heart: A practical pictorial proposal for radiation oncologists. Clin Transl Radiat Oncol 2024; 45:100718. [PMID: 38204729 PMCID: PMC10776448 DOI: 10.1016/j.ctro.2023.100718] [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: 01/24/2023] [Revised: 12/14/2023] [Accepted: 12/16/2023] [Indexed: 01/12/2024] Open
Abstract
There are currently no accurate rules for manually delineating the subregions of the heart (cavities, vessels, aortic/mitral valves, Planning organ at Risk Volumes for coronary arteries) with the perspective of deep-learning based modeling. Our objective was to present a practical pictorial view for radiation oncologists, based on the RTOG atlas and anatomical complementary considerations for the cases where the RTOG guidelines are missing.
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Affiliation(s)
- Loig Vaugier
- Department of Radiation Oncology, Institut de Cancérologie de l’Ouest, 44800 Saint Herblain, France
| | - Elvire Martin-Mervoyer
- Department of Cardiology, Institut de Cancérologie de l’Ouest, 44800 Saint Herblain, France
| | - Loic Ah-Thiane
- Department of Radiation Oncology, Institut de Cancérologie de l’Ouest, 44800 Saint Herblain, France
| | - Martin Langé
- Department of Radiation Oncology, Institut de Cancérologie de l’Ouest, 44800 Saint Herblain, France
| | - Luc Ollivier
- Department of Radiation Oncology, Institut de Cancérologie de l’Ouest, 44800 Saint Herblain, France
| | - Tanguy Perennec
- Department of Radiation Oncology, Institut de Cancérologie de l’Ouest, 44800 Saint Herblain, France
| | - Stéphane Supiot
- Department of Radiation Oncology, Institut de Cancérologie de l’Ouest, 44800 Saint Herblain, France
- Laboratoire US2B, Unité en Sciences Biologiques et Biotechnologies, UMR CNRS 6286, UFR Sciences et Techniques, 2, rue de la Houssinière, 44322 Nantes, France
| | - Loig Duvergé
- Department of Radiation Oncology, Centre Eugène Marquis, 35000 Rennes, France
| | - François Lucia
- Department of Radiation Oncology, Centre Hospitalo-Universitaire (CHU), 29200 Brest, France
| | - Pierre Trémolières
- Department of Radiation Oncology, Institut de Cancérologie de l’Ouest, 49000 Angers, France
| | - Roshanack Movassaghi
- Department of Radiology, Institut de Cancérologie de l’Ouest, 44800 Saint Herblain, France
| | - Karine Fresse-Warin
- Department of Radiology – Non-invasive Cardiovascular Imaging, Centre Hospitalo-Universitaire (CHU), 44000 Nantes, France
| | - Alexandra Moignier
- Department of Medical Physics, Institut de Cancérologie de l’Ouest, 44800 Saint Herblain, France
| | - Francois Thillays
- Department of Radiation Oncology, Institut de Cancérologie de l’Ouest, 44800 Saint Herblain, France
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11
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Hui C, Marquez C, Lau B, Das M, Myall NJ, Roy M, Wakelee HA, Neal JW, Kovalchuk N, Chin A, Diehn M, Loo BW, Xiang M, Vitzthum LK. Patient Selection and Outcomes for Hypofractionated Accelerated Radiation and Concurrent Chemotherapy for Non-Small-Cell Lung Cancer. Clin Lung Cancer 2024; 25:e92-e100.e4. [PMID: 38065707 DOI: 10.1016/j.cllc.2023.11.008] [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: 07/13/2023] [Revised: 11/11/2023] [Accepted: 11/14/2023] [Indexed: 03/01/2024]
Abstract
PURPOSE/OBJECTIVES Adoption of hypofractionated accelerated radiation therapy (HART) with concurrent chemotherapy has been limited by toxicity concerns. We aimed to describe outcomes of patients treated with HART and concurrent chemotherapy and to evaluate dosimetry to organs at risk to guide patient selection. MATERIALS/METHODS We evaluated a retrospective cohort of NSCLC patients treated with concurrent chemotherapy with HART (>2.2 Gy per fraction) or standard fractionated radiation therapy (SFRT; 2-2.2 Gy fractions). Dosimetric parameters to key organs at risk were compared, and toxicity, patterns of recurrence and survival were calculated for the cohorts. RESULTS Fifty-three patients treated with HART were compared with 100 patients treated with SFRT. Median dose per fraction for the HART cohort was 2.75 Gy (range 2.4-3 Gy). HART patients had significantly lower doses to the lung, heart, and esophagus due to patient selection. The HART group and had rates of grade 2+ pneumonitis (9.4 vs. 19%, P = .16) and grade 2+ esophagitis (20.8 vs. 45%, P < .01) that compared favorably to SFRT. Cumulative incidence of in-field recurrence trended lower in the HART cohort (7.6% vs. 23.1%, P = .058). Among the HART group, 88.7% (47/53) met the newly proposed lung constraints based on the degree of hypofractionation CONCLUSION: In select patients with favorable dosimetry to organs at risk, definitive HART with concurrent chemotherapy achieved excellent local control with low toxicity. These results are being used to inform a prospective study on the safety and efficacy of HART with concurrent chemotherapy for select NSCLC patients.
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Affiliation(s)
- Caressa Hui
- Department of Radiation Oncology, Stanford University, Stanford, CA
| | - Cesar Marquez
- Department of Radiation Oncology, Stanford University, Stanford, CA
| | - Brianna Lau
- Department of Radiation Oncology, Stanford University, Stanford, CA
| | - Millie Das
- Department of Medical Oncology, Stanford University, Stanford, CA
| | | | - Mohana Roy
- Department of Medical Oncology, Stanford University, Stanford, CA
| | | | - Joel W Neal
- Department of Medical Oncology, Stanford University, Stanford, CA
| | | | - Alex Chin
- Department of Radiation Oncology, Stanford University, Stanford, CA
| | - Maximilian Diehn
- Department of Radiation Oncology, Stanford University, Stanford, CA
| | - Billy W Loo
- Department of Radiation Oncology, Stanford University, Stanford, CA
| | - Michael Xiang
- Department of Radiation Oncology, University of California Los Angeles, Los Angeles, CA
| | - Lucas K Vitzthum
- Department of Radiation Oncology, Stanford University, Stanford, CA.
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12
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Olloni A, Lorenzen EL, Jeppesen SS, Diederichsen A, Finnegan R, Hoffmann L, Kristiansen C, Knap M, Milo MLH, Møller DS, Pøhl M, Persson G, Sand HMB, Sarup N, Thing RS, Brink C, Schytte T. An open source auto-segmentation algorithm for delineating heart and substructures - Development and validation within a multicenter lung cancer cohort. Radiother Oncol 2024; 191:110065. [PMID: 38122851 DOI: 10.1016/j.radonc.2023.110065] [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: 08/03/2023] [Revised: 11/27/2023] [Accepted: 12/13/2023] [Indexed: 12/23/2023]
Abstract
BACKGROUND AND PURPOSE Irradiation of the heart in thoracic cancers raises toxicity concerns. For accurate dose estimation, automated heart and substructure segmentation is potentially useful. In this study, a hybrid automatic segmentation is developed. The accuracy of delineation and dose predictions were evaluated, testing the method's potential within heart toxicity studies. MATERIALS AND METHODS The hybrid segmentation method delineated the heart, four chambers, three large vessels, and the coronary arteries. The method consisted of a nnU-net heart segmentation and partly atlas- and model-based segmentation of the substructures. The nnU-net training and atlas segmentation was based on lung cancer patients and was validated against a national consensus dataset of 12 patients with breast cancer. The accuracy of dose predictions between manual and auto-segmented heart and substructures was evaluated by transferring the dose distribution of 240 previously treated lung cancer patients to the consensus data set. RESULTS The hybrid auto-segmentation method performed well with a heart dice similarity coefficient (DSC) of 0.95, with no statistically significant difference between the automatic and manual delineations. The DSC for the chambers varied from 0.78-0.86 for the automatic segmentation and was comparable with the inter-observer variability. Most importantly, the automatic segmentation was as precise as the clinical experts in predicting the dose distribution to the heart and all substructures. CONCLUSION The hybrid segmentation method performed well in delineating the heart and substructures. The prediction of dose by the automatic segmentation was aligned with the manual delineations, enabling measurement of heart and substructure dose in large cohorts. The delineation algorithm will be available for download.
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Affiliation(s)
- Agon Olloni
- Department of Oncology, Odense University Hospital, Denmark; Department of Clinical Research, University of Southern Denmark, Denmark; Academy of Geriatric Cancer Research (AgeCare), Odense University Hospital, Denmark.
| | - Ebbe Laugaard Lorenzen
- Department of Clinical Research, University of Southern Denmark, Denmark; Laboratory of Radiation Physics, Department of Oncology, Odense University Hospital, Denmark
| | - Stefan Starup Jeppesen
- Department of Oncology, Odense University Hospital, Denmark; Department of Clinical Research, University of Southern Denmark, Denmark; Academy of Geriatric Cancer Research (AgeCare), Odense University Hospital, Denmark
| | - Axel Diederichsen
- Department of Clinical Research, University of Southern Denmark, Denmark; Department of Cardiology, Odense University Hospital, Denmark
| | - Robert Finnegan
- Northern Sydney Cancer Centre, Royal North Shore Hospital, St Leonards, NSW, Australia
| | - Lone Hoffmann
- Department of Oncology, Aarhus University Hospital, Denmark; Department of Clinical Medicine, Faculty of Health Sciences, Aarhus University, Denmark
| | - Charlotte Kristiansen
- Department of Oncology, Vejle Hospital University Hospital of Southern Denmark, Denmark
| | - Marianne Knap
- Department of Oncology, Aarhus University Hospital, Denmark
| | | | - Ditte Sloth Møller
- Department of Oncology, Aarhus University Hospital, Denmark; Department of Clinical Medicine, Faculty of Health Sciences, Aarhus University, Denmark
| | - Mette Pøhl
- Department of Oncology, Rigshospitalet, Copenhagen University Hospital, Denmark
| | - Gitte Persson
- Department of Oncology, Copenhagen University Hospital, Herlev and Gentofte, Denmark; Department of Clinical Medicine, Copenhagen University, Denmark
| | - Hella M B Sand
- Department of Oncology, Aalborg University Hospital, Denmark
| | - Nis Sarup
- Laboratory of Radiation Physics, Department of Oncology, Odense University Hospital, Denmark
| | - Rune Slot Thing
- Department of Oncology, Vejle Hospital University Hospital of Southern Denmark, Denmark
| | - Carsten Brink
- Department of Clinical Research, University of Southern Denmark, Denmark; Laboratory of Radiation Physics, Department of Oncology, Odense University Hospital, Denmark
| | - Tine Schytte
- Department of Oncology, Odense University Hospital, Denmark; Department of Clinical Research, University of Southern Denmark, Denmark
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13
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Walls GM, O'Connor J, Harbinson M, Duane F, McCann C, McKavanagh P, Johnston DI, Giacometti V, McAleese J, Hounsell AR, Cole AJ, Butterworth KT, McGarry CK, Hanna GG, Jain S. The Association of Incidental Radiation Dose to the Heart Base with Overall Survival and Cardiac Events after Curative-intent Radiotherapy for Non-small Cell Lung Cancer: Results from the NI-HEART Study. Clin Oncol (R Coll Radiol) 2024; 36:119-127. [PMID: 38042669 DOI: 10.1016/j.clon.2023.11.029] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Revised: 10/10/2023] [Accepted: 11/06/2023] [Indexed: 12/04/2023]
Abstract
AIMS Cardiac disease is a dose-limiting toxicity in non-small cell lung cancer radiotherapy. The dose to the heart base has been associated with poor survival in multiple institutional and clinical trial datasets using unsupervised, voxel-based analysis. Validation has not been undertaken in a cohort with individual patient delineations of the cardiac base or for the endpoint of cardiac events. The purpose of this study was to assess the association of heart base radiation dose with overall survival and the risk of cardiac events with individual heart base contours. MATERIALS AND METHODS Patients treated between 2015 and 2020 were reviewed for baseline patient, tumour and cardiac details and both cancer and cardiac outcomes as part of the NI-HEART study. Three cardiologists verified cardiac events including atrial fibrillation, heart failure and acute coronary syndrome. Cardiac substructure delineations were completed using a validated deep learning-based autosegmentation tool and a composite cardiac base structure was generated. Cox and Fine-Gray regressions were undertaken for the risk of death and cardiac events. RESULTS Of 478 eligible patients, most received 55 Gy/20 fractions (96%) without chemotherapy (58%), planned with intensity-modulated radiotherapy (71%). Pre-existing cardiovascular morbidity was common (78% two or more risk factors, 46% one or more established disease). The median follow-up was 21.1 months. Dichotomised at the median, a higher heart base Dmax was associated with poorer survival on Kaplan-Meier analysis (20.2 months versus 28.3 months; hazard ratio 1.40, 95% confidence interval 1.14-1.75, P = 0.0017) and statistical significance was retained in multivariate analyses. Furthermore, heart base Dmax was associated with pooled cardiac events in a multivariate analysis (hazard ratio 1.75, 95% confidence interval 1.03-2.97, P = 0.04). CONCLUSIONS Heart base Dmax was associated with the rate of death and cardiac events after adjusting for patient, tumour and cardiovascular factors in the NI-HEART study. This validates the findings from previous unsupervised analytical approaches. The heart base could be considered as a potential sub-organ at risk towards reducing radiation cardiotoxicity.
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Affiliation(s)
- G M Walls
- Cancer Centre Belfast City Hospital, Belfast Health & Social Care Trust, Belfast, UK; Patrick G Johnston Centre for Cancer Research, Queen's University Belfast, Belfast, UK.
| | - J O'Connor
- Patrick G Johnston Centre for Cancer Research, Queen's University Belfast, Belfast, UK
| | - M Harbinson
- Department of Cardiology, Belfast Health & Social Care Trust, Belfast, UK; Wellcome-Wolfson Institute for Experimental Medicine, Queen's University Belfast, Belfast, UK
| | - F Duane
- St. Luke's Radiation Oncology Network, St. Luke's Hospital, Dublin, Ireland; Trinity St James's Cancer Institute, St. James's Hospital, Dublin, Ireland
| | - C McCann
- Department of Cardiology, Belfast Health & Social Care Trust, Belfast, UK
| | - P McKavanagh
- Department of Cardiology, Ulster Hospital, South Eastern Health & Social Care Trust, Dundonald, UK
| | - D I Johnston
- Cancer Centre Belfast City Hospital, Belfast Health & Social Care Trust, Belfast, UK
| | - V Giacometti
- Patrick G Johnston Centre for Cancer Research, Queen's University Belfast, Belfast, UK
| | - J McAleese
- Cancer Centre Belfast City Hospital, Belfast Health & Social Care Trust, Belfast, UK
| | - A R Hounsell
- Cancer Centre Belfast City Hospital, Belfast Health & Social Care Trust, Belfast, UK; Patrick G Johnston Centre for Cancer Research, Queen's University Belfast, Belfast, UK
| | - A J Cole
- Cancer Centre Belfast City Hospital, Belfast Health & Social Care Trust, Belfast, UK; Patrick G Johnston Centre for Cancer Research, Queen's University Belfast, Belfast, UK
| | - K T Butterworth
- Patrick G Johnston Centre for Cancer Research, Queen's University Belfast, Belfast, UK
| | - C K McGarry
- Cancer Centre Belfast City Hospital, Belfast Health & Social Care Trust, Belfast, UK; Patrick G Johnston Centre for Cancer Research, Queen's University Belfast, Belfast, UK
| | - G G Hanna
- Cancer Centre Belfast City Hospital, Belfast Health & Social Care Trust, Belfast, UK; Patrick G Johnston Centre for Cancer Research, Queen's University Belfast, Belfast, UK
| | - S Jain
- Cancer Centre Belfast City Hospital, Belfast Health & Social Care Trust, Belfast, UK; Patrick G Johnston Centre for Cancer Research, Queen's University Belfast, Belfast, UK
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14
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Iovoli AJ, Yu H, Advani PG, Turecki L, Malhotra HK, Malik NK, Fung-Kee-Fung S, Singh AK, Farrugia MK. Sinoatrial Node Dose Is Associated With Worse Survival in Patients Undergoing Definitive Stereotactic Body Radiation Therapy for Central Lung Cancers. Pract Radiat Oncol 2024; 14:e40-e47. [PMID: 37804882 DOI: 10.1016/j.prro.2023.09.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Revised: 09/22/2023] [Accepted: 09/26/2023] [Indexed: 10/09/2023]
Abstract
PURPOSE Our purpose was to evaluate the clinical consequences of sinoatrial node (SAN) and atrioventricular node (AVN) irradiation in patients undergoing stereotactic body radiation therapy (SBRT) for central non-small cell lung cancer (NSCLC) tumors. METHODS AND MATERIALS A single-institutional retrospective review of patients with primary NSCLC undergoing definitive SBRT for centrally located thoracic tumors from February 2007 to December 2021 was performed. The SAN and AVN were contoured in accordance with a published contouring atlas, and the maximum dose (Dmax) and mean dose (Dmean) for each structure were calculated. Sequential log rank testing between the 50th and 90th percentiles was used to identify potential cutoff values for the corresponding dosimetric parameters and overall survival. RESULTS Among 93 eligible patients, the median age was 72.5 years (IQR, 66.6-78.3), and median follow-up was 32.4 months (IQR, 13.0-49.6). The median SAN Dmax and Dmean were 95 cGy (range, 9-5394) and 58 cGy (range, 7-3168), respectively. The median AVN Dmax and Dmean were 45 cGy (range, 4-2121) and 34 cGy (range, 3-1667), respectively. Candidate cutoff values for SAN Dmax and Dmean were 1309 and 836 cGy, respectively. No associations between AVN parameters and survival outcomes were identified. Upon multivariate Cox regression, the SAN Dmax cutoff (hazard ratio [HR], 2.03 [1.09-3.79]; P = .026) and SAN Dmean cutoff (HR, 2.22 [1.20-4.12]; P = .011) were significantly associated with overall survival. For noncancer-associated survival, the SAN Dmax cutoff trended toward significance (HR, 2.02 [0.89-4.57]; P = .092), and the SAN Dmean cutoff remained significantly associated (HR, 2.34 [1.05-5.18]; P = .037). CONCLUSIONS For patients undergoing SBRT for NSCLC, SAN Dmax and Dmean were significantly associated with worse overall survival using cut-off values of 1309 and 836 cGy, respectively. Further studies examining the effect of SAN irradiation during SBRT are warranted.
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Affiliation(s)
| | - Han Yu
- Biostatistics & Bioinformatics
| | - Pragati G Advani
- Internal Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, New York
| | - Lauren Turecki
- Jacobs School of Medicine and Biomedical Sciences University at Buffalo, Buffalo, New York
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15
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Marchant T, Price G, McWilliam A, Henderson E, McSweeney D, van Herk M, Banfill K, Schmitt M, King J, Barker C, Faivre-Finn C. Assessment of heart-substructures auto-contouring accuracy for application in heart-sparing radiotherapy for lung cancer. BJR Open 2024; 6:tzae006. [PMID: 38737623 PMCID: PMC11087931 DOI: 10.1093/bjro/tzae006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Revised: 12/14/2023] [Accepted: 02/14/2024] [Indexed: 05/14/2024] Open
Abstract
Objectives We validated an auto-contouring algorithm for heart substructures in lung cancer patients, aiming to establish its accuracy and reliability for radiotherapy (RT) planning. We focus on contouring an amalgamated set of subregions in the base of the heart considered to be a new organ at risk, the cardiac avoidance area (CAA), to enable maximum dose limit implementation in lung RT planning. Methods The study validates a deep-learning model specifically adapted for auto-contouring the CAA (which includes the right atrium, aortic valve root, and proximal segments of the left and right coronary arteries). Geometric, dosimetric, quantitative, and qualitative validation measures are reported. Comparison with manual contours, including assessment of interobserver variability, and robustness testing over 198 cases are also conducted. Results Geometric validation shows that auto-contouring performance lies within the expected range of manual observer variability despite being slightly poorer than the average of manual observers (mean surface distance for CAA of 1.6 vs 1.2 mm, dice similarity coefficient of 0.86 vs 0.88). Dosimetric validation demonstrates consistency between plans optimized using auto-contours and manual contours. Robustness testing confirms acceptable contours in all cases, with 80% rated as "Good" and the remaining 20% as "Useful." Conclusions The auto-contouring algorithm for heart substructures in lung cancer patients demonstrates acceptable and comparable performance to human observers. Advances in knowledge Accurate and reliable auto-contouring results for the CAA facilitate the implementation of a maximum dose limit to this region in lung RT planning, which has now been introduced in the routine setting at our institution.
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Affiliation(s)
- Tom Marchant
- Christie Medical Physics & Engineering, The Christie NHS Foundation Trust, Manchester, M20 4BX, United Kingdom
- Division of Cancer Sciences, The University of Manchester, Manchester, M13 9PL, United Kingdom
| | - Gareth Price
- Division of Cancer Sciences, The University of Manchester, Manchester, M13 9PL, United Kingdom
- Radiotherapy Related Research, The Christie NHS Foundation Trust, Manchester, M20 4BX, United Kingdom
| | - Alan McWilliam
- Division of Cancer Sciences, The University of Manchester, Manchester, M13 9PL, United Kingdom
- Radiotherapy Related Research, The Christie NHS Foundation Trust, Manchester, M20 4BX, United Kingdom
| | - Edward Henderson
- Division of Cancer Sciences, The University of Manchester, Manchester, M13 9PL, United Kingdom
- Radiotherapy Related Research, The Christie NHS Foundation Trust, Manchester, M20 4BX, United Kingdom
| | - Dónal McSweeney
- Division of Cancer Sciences, The University of Manchester, Manchester, M13 9PL, United Kingdom
- Radiotherapy Related Research, The Christie NHS Foundation Trust, Manchester, M20 4BX, United Kingdom
| | - Marcel van Herk
- Division of Cancer Sciences, The University of Manchester, Manchester, M13 9PL, United Kingdom
- Radiotherapy Related Research, The Christie NHS Foundation Trust, Manchester, M20 4BX, United Kingdom
| | - Kathryn Banfill
- Division of Cancer Sciences, The University of Manchester, Manchester, M13 9PL, United Kingdom
- Department of Clinical Oncology, The Christie NHS Foundation Trust, Manchester, M20 4BX, United Kingdom
| | - Matthias Schmitt
- Division of Cardiovascular Sciences, The University of Manchester, Manchester, M13 9PL, United Kingdom
- Department of Cardiology, Manchester University NHS Foundation Trust, Manchester, M13 9WL, United Kingdom
| | - Jennifer King
- Department of Clinical Oncology, The Christie NHS Foundation Trust, Manchester, M20 4BX, United Kingdom
| | - Claire Barker
- Department of Clinical Oncology, The Christie NHS Foundation Trust, Manchester, M20 4BX, United Kingdom
| | - Corinne Faivre-Finn
- Division of Cancer Sciences, The University of Manchester, Manchester, M13 9PL, United Kingdom
- Department of Clinical Oncology, The Christie NHS Foundation Trust, Manchester, M20 4BX, United Kingdom
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16
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McWilliam A, Palma G, Abravan A, Acosta O, Appelt A, Aznar M, Monti S, Onjukka E, Panettieri V, Placidi L, Rancati T, Vasquez Osorio E, Witte M, Cella L. Voxel-based analysis: Roadmap for clinical translation. Radiother Oncol 2023; 188:109868. [PMID: 37683811 DOI: 10.1016/j.radonc.2023.109868] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Revised: 07/11/2023] [Accepted: 08/20/2023] [Indexed: 09/10/2023]
Abstract
Voxel-based analysis (VBA) allows the full, 3-dimensional, dose distribution to be considered in radiotherapy outcome analysis. This provides new insights into anatomical variability of pathophysiology and radiosensitivity by removing the need for a priori definition of organs assumed to drive the dose response associated with patient outcomes. This approach may offer powerful biological insights demonstrating the heterogeneity of the radiobiology across tissues and potential associations of the radiotherapy dose with further factors. As this methodological approach becomes established, consideration needs to be given to translating VBA results to clinical implementation for patient benefit. Here, we present a comprehensive roadmap for VBA clinical translation. Technical validation needs to demonstrate robustness to methodology, where clinical validation must show generalisability to external datasets and link to a plausible pathophysiological hypothesis. Finally, clinical utility requires demonstration of potential benefit for patients in order for successful translation to be feasible. For each step on the roadmap, key considerations are discussed and recommendations provided for best practice.
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Affiliation(s)
- Alan McWilliam
- The Division of Cancer Sciences, The University of Manchester, Manchester, UK; The Christie NHS Foundation Trust, Manchester, UK.
| | - Giuseppe Palma
- Institute of Nanotechnology, National Research Council, Lecce, Italy.
| | - Azadeh Abravan
- The Division of Cancer Sciences, The University of Manchester, Manchester, UK; The Christie NHS Foundation Trust, Manchester, UK
| | - Oscar Acosta
- University Rennes, CLCC Eugène Marquis, INSERM, LTSI - UMR 1099, F-35000, Rennes, France
| | - Ane Appelt
- Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK
| | - Marianne Aznar
- The Division of Cancer Sciences, The University of Manchester, Manchester, UK; The Christie NHS Foundation Trust, Manchester, UK
| | - Serena Monti
- Institute of Biostructures and Bioimaging, National Research Council, Naples, Italy
| | - Eva Onjukka
- Department of Medical Radiation Physics and Nuclear Medicine, Karolinska University Hospital, Sweden
| | - Vanessa Panettieri
- Department of Physical Sciences, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia; Central Clinical School, Monash University, Melbourne, VIC, Australia; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Victoria 3010, Australia
| | - Lorenzo Placidi
- Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Rome, Italy
| | - Tiziana Rancati
- Data Science Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Italy
| | - Eliana Vasquez Osorio
- The Division of Cancer Sciences, The University of Manchester, Manchester, UK; The Christie NHS Foundation Trust, Manchester, UK
| | - Marnix Witte
- Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Laura Cella
- Institute of Biostructures and Bioimaging, National Research Council, Naples, Italy
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17
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Ahmadsei M, Thaler K, Gasser E, Pouymayou B, Dal Bello R, Christ SM, Willmann J, Kovacs B, Balermpas P, Tanadini-Lang S, Saguner AM, Mayinger M, Andratschke N, Guckenberger M. Dosimetric analysis of 17 cardiac Sub-structures, Toxicity, and survival in ultra central lung tumor patients treated with SBRT. Clin Transl Radiat Oncol 2023; 43:100675. [PMID: 37744054 PMCID: PMC10511337 DOI: 10.1016/j.ctro.2023.100675] [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: 05/22/2023] [Revised: 08/04/2023] [Accepted: 09/07/2023] [Indexed: 09/26/2023] Open
Abstract
•Data on cardiac toxicity after SBRT for ultra-central lung tumors remains limited.•We analyzed the dose to 18 cardiac sub-structures and cardiovascular toxicity.•A SBRT regimen of 45 Gy in 8-10 fractions yields good local control and low toxicity.•The highest cardiac doses were observed in the pulmonary artery and left atrium.•Higher doses to the base of the heart seem to be associated with non-cancer deaths.
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Affiliation(s)
- Maiwand Ahmadsei
- Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Rämistrasse 100, 8091 Zurich, Switzerland
| | - Kai Thaler
- Department of Cardiology, University Heart Center, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Elena Gasser
- Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Rämistrasse 100, 8091 Zurich, Switzerland
| | - Bertrand Pouymayou
- Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Rämistrasse 100, 8091 Zurich, Switzerland
| | - Riccardo Dal Bello
- Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Rämistrasse 100, 8091 Zurich, Switzerland
| | - Sebastian M. Christ
- Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Rämistrasse 100, 8091 Zurich, Switzerland
| | - Jonas Willmann
- Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Rämistrasse 100, 8091 Zurich, Switzerland
| | - Boldizsar Kovacs
- Department of Cardiology, University Heart Center, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Panagiotis Balermpas
- Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Rämistrasse 100, 8091 Zurich, Switzerland
| | - Stephanie Tanadini-Lang
- Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Rämistrasse 100, 8091 Zurich, Switzerland
| | - Ardan M. Saguner
- Department of Cardiology, University Heart Center, University Hospital Zurich, University of Zurich, Zurich, Switzerland
- Center for Translational and Experimental Cardiology (CTEC), Department of Cardiology, Zurich University Hospital, University of Zurich, 8952 Schlieren, Switzerland
| | - Michael Mayinger
- Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Rämistrasse 100, 8091 Zurich, Switzerland
| | - Nicolaus Andratschke
- Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Rämistrasse 100, 8091 Zurich, Switzerland
| | - Matthias Guckenberger
- Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Rämistrasse 100, 8091 Zurich, Switzerland
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18
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Yegya-Raman N, Friedes C, Iocolano M, Feigenberg SJ. Statin therapy, cardiac events, and survival in patients with non-small cell lung cancer receiving definitive radiotherapy. Radiother Oncol 2023; 187:109825. [PMID: 37516360 DOI: 10.1016/j.radonc.2023.109825] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Accepted: 07/18/2023] [Indexed: 07/31/2023]
Affiliation(s)
- Nikhil Yegya-Raman
- Department of Radiation Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.
| | - Cole Friedes
- Department of Radiation Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Michelle Iocolano
- Department of Radiation Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Steven J Feigenberg
- Department of Radiation Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
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19
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Ho YC, Lai YC, Lin HY, Ko MH, Wang SH, Yang SJ, Chou TW, Hung LC, Huang CC, Chang TH, Lin JB, Lin JC. Cardiac Dose Predicts the Response to Concurrent Chemoradiotherapy in Esophageal Squamous Cell Carcinoma. Cancers (Basel) 2023; 15:4580. [PMID: 37760549 PMCID: PMC10526131 DOI: 10.3390/cancers15184580] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Revised: 09/11/2023] [Accepted: 09/13/2023] [Indexed: 09/29/2023] Open
Abstract
Definitive concurrent chemoradiation (CCRT) is the standard treatment for cervical esophageal cancer and non-surgical candidates. Initial treatment response affects survival; however, few validated markers are available for prediction. This study evaluated the clinical variables and chemoradiation parameters associated with treatment response. Between May 2010 and April 2016, 86 completed CCRT patients' clinical, dosimetric, and laboratory data at baseline and during treatment were collected. Cox regression analysis assessed the risk factors for overall survival (OS). A receiver operating characteristic curve with Youden's index was chosen to obtain the optimal cut-off value of each parameter. Treatment response was defined per Response Evaluation Criteria in Solid Tumors v.1.1 at the first post-CCRT computed tomography scan. Responders had complete and partial responses; non-responders had stable and progressive diseases. Logistic regression (LR) was used to evaluate the variables associated with responders. The Cox regression model confirmed the presence of responders (n = 50) vs. non-responders (n = 36) with a significant difference in OS. In multivariate LR, cardiac dose-volume received ≥10 Gy; the baseline hemoglobin level, highest neutrophil to lymphocyte ratio during CCRT, and cumulative cisplatin dose were significantly associated with the responders. The initial clinical treatment response significantly determines disease outcome. Cardiac irradiation may affect the treatment response.
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Affiliation(s)
- Yu-Chieh Ho
- Department of Radiation Oncology, Changhua Christian Hospital, Changhua 500, Taiwan; (Y.-C.H.); (S.-J.Y.); (T.-W.C.); (L.-C.H.); (C.-C.H.); (T.-H.C.); (J.-C.L.)
| | - Yuan-Chun Lai
- Division of Medical Physics, Department of Radiation Oncology, Changhua Christian Hospital, Changhua 500, Taiwan; (Y.-C.L.); (M.-H.K.)
- Department of Medical Imaging Radiological Science, Central Taiwan University of Science and Technology, Taichung 406, Taiwan
| | - Hsuan-Yu Lin
- Division of Haematology/Oncology, Department of Internal Medicine, Changhua Christian Hospital, Changhua 500, Taiwan;
| | - Ming-Hui Ko
- Division of Medical Physics, Department of Radiation Oncology, Changhua Christian Hospital, Changhua 500, Taiwan; (Y.-C.L.); (M.-H.K.)
| | - Sheng-Hung Wang
- Department of Radiation Oncology, Lukang Christian Hospital, Changhua Christian Medical Foundation, Lukang 505, Taiwan;
| | - Shan-Jun Yang
- Department of Radiation Oncology, Changhua Christian Hospital, Changhua 500, Taiwan; (Y.-C.H.); (S.-J.Y.); (T.-W.C.); (L.-C.H.); (C.-C.H.); (T.-H.C.); (J.-C.L.)
| | - Tsai-Wei Chou
- Department of Radiation Oncology, Changhua Christian Hospital, Changhua 500, Taiwan; (Y.-C.H.); (S.-J.Y.); (T.-W.C.); (L.-C.H.); (C.-C.H.); (T.-H.C.); (J.-C.L.)
| | - Li-Chung Hung
- Department of Radiation Oncology, Changhua Christian Hospital, Changhua 500, Taiwan; (Y.-C.H.); (S.-J.Y.); (T.-W.C.); (L.-C.H.); (C.-C.H.); (T.-H.C.); (J.-C.L.)
| | - Chia-Chun Huang
- Department of Radiation Oncology, Changhua Christian Hospital, Changhua 500, Taiwan; (Y.-C.H.); (S.-J.Y.); (T.-W.C.); (L.-C.H.); (C.-C.H.); (T.-H.C.); (J.-C.L.)
| | - Tung-Hao Chang
- Department of Radiation Oncology, Changhua Christian Hospital, Changhua 500, Taiwan; (Y.-C.H.); (S.-J.Y.); (T.-W.C.); (L.-C.H.); (C.-C.H.); (T.-H.C.); (J.-C.L.)
- Department of Medical Imaging Radiological Science, Central Taiwan University of Science and Technology, Taichung 406, Taiwan
- Department of Medical Imaging and Radiological Technology, Yuanpei University of Science and Technology, Hsinchu 300, Taiwan
| | - Jhen-Bin Lin
- Department of Radiation Oncology, Changhua Christian Hospital, Changhua 500, Taiwan; (Y.-C.H.); (S.-J.Y.); (T.-W.C.); (L.-C.H.); (C.-C.H.); (T.-H.C.); (J.-C.L.)
| | - Jin-Ching Lin
- Department of Radiation Oncology, Changhua Christian Hospital, Changhua 500, Taiwan; (Y.-C.H.); (S.-J.Y.); (T.-W.C.); (L.-C.H.); (C.-C.H.); (T.-H.C.); (J.-C.L.)
- Research Department, Division of Translation Research, Changhua Christian Hospital, Changhua 500, Taiwan
- Institute of Clinical Medicine, School of Medicine, National Yang-Ming Chiao-Tung University, Taipei 112, Taiwan
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20
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Petit C, Escande A, Sarrade T, Vaugier L, Kirova Y, Tallet A. Radiation therapy in the thoracic region: Radio-induced cardiovascular disease, cardiac delineation and sparing, cardiac dose constraints, and cardiac implantable electronic devices. Cancer Radiother 2023; 27:588-598. [PMID: 37648559 DOI: 10.1016/j.canrad.2023.06.027] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Accepted: 06/27/2023] [Indexed: 09/01/2023]
Abstract
Radiation therapy in the thoracic region may deliver incidental ionizing radiation to the surrounding healthy structures, including the heart. Radio-induced heart toxicity has long been a concern in breast cancer and Hodgkin's lymphoma and was deemed a long-term event. However, recent data highlight the need to limit the dose to the heart in less favorable thoracic cancers too, such as lung and esophageal cancers in which incidental irradiation led to increased mortality. This article will summarize available cardiac dose constraints in various clinical settings and the types of radio-induced cardiovascular diseases encountered as well as delineation of cardiac subheadings and management of cardiac devices. Although still not completely deciphered, heart dose constraints remain intensively investigated and the mean dose to the heart is no longer the only dosimetric parameter to consider since the left anterior descending artery as well as the left ventricle should also be part of dosimetry constraints.
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Affiliation(s)
- C Petit
- Radiation Oncology Department, institut Paoli-Calmettes, 232, boulevard Sainte-Marguerite, 13273 Marseille cedex 09, France
| | - A Escande
- Service de radiothérapie, centre Léonard-de-Vinci, Dechy, France; UMR 9189, laboratoire Cristal, université de Lille, Villeneuve-d'Ascq, France
| | - T Sarrade
- Department of Radiation Oncology, hôpital Tenon, Sorbonne université, 75020 Paris, France
| | - L Vaugier
- Department of Radiation Oncology, institut de cancérologie de l'Ouest, Saint-Herblain, France
| | - Y Kirova
- Department of Radiation Oncology, institut Curie, Paris, France
| | - A Tallet
- Radiation Oncology Department, institut Paoli-Calmettes, 232, boulevard Sainte-Marguerite, 13273 Marseille cedex 09, France; UMR 1068, CRCM Inserm, Marseille, France.
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21
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Tjong M, Zhang S, Gasho J, Silos K, Gay C, McKenzie E, Steers J, Bitterman D, Nikolova A, Nohria A, Hoffmann U, Brantley K, Mak R, Atkins K. External validation of Cardiac disease, Hypertension, and Logarithmic Left anterior descending coronary artery radiation dose (CHyLL) for predicting major adverse cardiac events after lung cancer radiotherapy. Clin Transl Radiat Oncol 2023; 42:100660. [PMID: 37545790 PMCID: PMC10403724 DOI: 10.1016/j.ctro.2023.100660] [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: 06/14/2023] [Accepted: 07/20/2023] [Indexed: 08/08/2023] Open
Abstract
Background and purpose Major adverse cardiac events(MACE) are prevalent in patients with locally advanced-non-small cell lung cancer(LA-NSCLC) following radiotherapy(RT). The CHyLL model, incorporating coronary heart disease(CHD),Hypertension(HTN),Logarithmic LADV15 was developed and internally-validated to predict MACE among LA-NSCLC patients. We sought to externally validate CHyLL to predict MACE in an independent LA-NSCLC cohort. Patients and methods Patients with LA-NSCLC treated with RT were included. CHyLL score was calculated:5.51CHD + 1.28HTN + 1.48ln(LADV15 + 1)-1.36CHD*ln(LADV15 + 1). CHyLL performance in predicting MACE was assessed and compared to mean heart dose(MHD) using Cox-proportional hazard(PH) analyses and Harrel's concordance(C)-indices. MACE and overall survival(OS) among low-vs high-risk groups(CHyLL < 5 vs ≥ 5) were compared. Results In the external validation cohort(N = 102), the median age was 71 years and 55% were females. Most(n = 74,73%), had clinical Stage III disease and 35(34%) underwent surgery. CHyLL demonstrated good MACE prediction with C-index of 0.73(95% Confidence Interval(CI):0.58-0.89), while MHD did not (C-index = 0.46 (95% CI:0.30-0.62)). Per CHyLL, 32(31%) and 70(69%) patients were considered low-and high-risk for MACE, respectively. CHyLL consistently identified lower MACE rates in the low-vs high-risk group(log-rank p = 0.108):0 vs 8%(12 months),5 vs 16%(24 months),5 vs 16%(36 months),and 5 vs 19%(48 months) post-RT. In the pooled internal and external validation cohort(N = 303), MACE rates in low-vs high-risk groups were statistically significantly different(log-rank p = 0.01):1 vs 6%(12 months),3 vs 12%(24 months),6 vs 19%(36 months),and 6 vs 21%(48 months). Conclusions CHyLL was externally validated and superior to MHD in predicting MACE. CHyLL has the potential to identify high-risk patients who may benefit from cardio-oncology optimization and to estimate personalized LADV15 constraints based on cardiac risk factors and acceptable MACE thresholds.
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Affiliation(s)
- M.C. Tjong
- Department of Radiation Oncology, Dana-Farber Cancer Institute and Brigham and Women’s Hospital, Boston, MA, United States
| | - S.C. Zhang
- Department of Radiation Oncology, Cedars-Sinai Medical Center, Los Angeles, CA, United States
| | - J.O. Gasho
- Department of Radiation Oncology, Cedars-Sinai Medical Center, Los Angeles, CA, United States
| | - K.D. Silos
- Department of Radiation Oncology, Cedars-Sinai Medical Center, Los Angeles, CA, United States
| | - C. Gay
- Department of Radiation Oncology, Cedars-Sinai Medical Center, Los Angeles, CA, United States
| | - E.M. McKenzie
- Department of Radiation Oncology, Cedars-Sinai Medical Center, Los Angeles, CA, United States
| | - J. Steers
- Department of Radiation Oncology, Cedars-Sinai Medical Center, Los Angeles, CA, United States
| | - D.S. Bitterman
- Department of Radiation Oncology, Dana-Farber Cancer Institute and Brigham and Women’s Hospital, Boston, MA, United States
| | - A.P. Nikolova
- Department of Cardiology, Cedars-Sinai Medical Center, Los Angeles, CA, United States
| | - A. Nohria
- Department of Cardiovascular Medicine, Dana-Farber Cancer Institute and Brigham and Women’s Hospital, Boston, MA, United States
| | - U. Hoffmann
- Cleerly Health Inc., Denver, CO, United States
| | - K.D. Brantley
- Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, United States
| | - R.H. Mak
- Department of Radiation Oncology, Dana-Farber Cancer Institute and Brigham and Women’s Hospital, Boston, MA, United States
| | - K.M. Atkins
- Department of Radiation Oncology, Cedars-Sinai Medical Center, Los Angeles, CA, United States
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22
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McWilliam A, Abravan A, Banfill K, Faivre-Finn C, van Herk M. Reply to the Letter by Ma et al. J Thorac Oncol 2023; 18:e64-e66. [PMID: 37210186 DOI: 10.1016/j.jtho.2023.03.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Accepted: 03/23/2023] [Indexed: 05/22/2023]
Affiliation(s)
- Alan McWilliam
- The Division of Cancer Science, The University of Manchester, Manchester, United Kingdom; The Christie National Health Service (NHS) Foundation Trust, Manchester, United Kingdom.
| | - Azadeh Abravan
- The Division of Cancer Science, The University of Manchester, Manchester, United Kingdom; The Christie National Health Service (NHS) Foundation Trust, Manchester, United Kingdom
| | - Kathryn Banfill
- The Division of Cancer Science, The University of Manchester, Manchester, United Kingdom; The Christie National Health Service (NHS) Foundation Trust, Manchester, United Kingdom
| | - Corinne Faivre-Finn
- The Division of Cancer Science, The University of Manchester, Manchester, United Kingdom; The Christie National Health Service (NHS) Foundation Trust, Manchester, United Kingdom
| | - Marcel van Herk
- The Division of Cancer Science, The University of Manchester, Manchester, United Kingdom; The Christie National Health Service (NHS) Foundation Trust, Manchester, United Kingdom
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23
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Ma Z, Yang X, Hui Z. Association of Heart Base Dose With Overall Survival in Patients With NSCLC Undergoing Postoperative Radiotherapy. J Thorac Oncol 2023; 18:e62-e64. [PMID: 37210185 DOI: 10.1016/j.jtho.2023.03.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2023] [Accepted: 03/03/2023] [Indexed: 05/22/2023]
Affiliation(s)
- Zeliang Ma
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China
| | - Xu Yang
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China
| | - Zhouguang Hui
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China; Department of VIP Medical Services, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China.
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