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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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Chin V, Chlap P, Finnegan R, Hau E, Ong A, Ma X, Descallar J, Otton J, Holloway L, Delaney GP, Vinod SK. Cardiac Substructure Dose and Survival in Stereotactic Radiotherapy for Lung Cancer: Results of the Multi-Centre SSBROC Trial. Clin Oncol (R Coll Radiol) 2024:S0936-6555(24)00289-9. [PMID: 39097416 DOI: 10.1016/j.clon.2024.07.005] [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: 04/01/2024] [Revised: 07/10/2024] [Accepted: 07/17/2024] [Indexed: 08/05/2024]
Abstract
BACKGROUND AND PURPOSE Stereotactic ablative body radiotherapy (SABR) is increasingly used for early-stage lung cancer, however the impact of dose to the heart and cardiac substructures remains largely unknown. The study investigated doses received by cardiac substructures in SABR patients and impact on survival. MATERIALS AND METHODS SSBROC is an Australian multi-centre phase II prospective study of SABR for stage I non-small cell lung cancer. Patients were treated between 2013 and 2019 across 9 centres. In this secondary analysis of the dataset, a previously published and locally developed open-source hybrid deep learning cardiac substructure automatic segmentation tool was deployed on the planning CTs of 117 trial patients. Physical doses to 18 cardiac structures and EQD2 converted doses (α/β = 3) were calculated. Endpoints evaluated include pericardial effusion and overall survival. Associations between cardiac doses and survival were analysed with the Kaplan-Meier method and Cox proportional hazards models. RESULTS Cardiac structures that received the highest physical mean doses were superior vena cava (22.5 Gy) and sinoatrial node (18.3 Gy). The highest physical maximum dose was received by the heart (51.7 Gy) and right atrium (45.3 Gy). Three patients developed grade 2, and one grade 3 pericardial effusion. The cohort receiving higher than median mean heart dose (MHD) had poorer survival compared to those who received below median MHD (p = 0.00004). On multivariable Cox analysis, male gender and maximum dose to ascending aorta were significant for worse survival. CONCLUSIONS Patients treated with lung SABR may receive high doses to cardiac substructures. Dichotomising the patients according to median mean heart dose showed a clear difference in survival. On multivariable analyses gender and dose to ascending aorta were significant for survival, however cardiac substructure dosimetry and outcomes should be further explored in larger studies.
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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.
| | - 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
| | - R Finnegan
- Ingham Institute for Applied Medical Research, Sydney, Australia; Northern Sydney Cancer Centre, Royal North Shore Hospital, Sydney, Australia; University of Sydney, Institute of Medical Physics, Sydney, Australia
| | - E Hau
- Crown Princess Mary Cancer Centre, Westmead Hospital, Department of Radiation Oncology, Sydney, Australia; Blacktown Haematology and Cancer Centre, Blacktown Hospital, Department of Radiation Oncology, Sydney, Australia; Westmead Institute of Medical Research, Centre for Cancer Research, Sydney, Australia; University of Sydney, Westmead Clinical School, Sydney, Australia
| | - A Ong
- Crown Princess Mary Cancer Centre, Westmead Hospital, Department of Radiation Oncology, Sydney, Australia
| | - X Ma
- St George Hospital, Division of Cancer Services, Sydney, Australia
| | - J Descallar
- University of New South Wales, South Western Sydney Clinical School, Sydney, Australia; Ingham Institute for Applied Medical Research, Sydney, Australia
| | - J Otton
- University of New South Wales, South Western Sydney Clinical School, Sydney, Australia; Liverpool Hospital, Department of Cardiology, 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
| | - 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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Zhang Y, Lian Q, Nie Y, Zhao W. Identification of atrial fibrillation-related genes through transcriptome data analysis and Mendelian randomization. Front Cardiovasc Med 2024; 11:1414974. [PMID: 39055656 PMCID: PMC11269132 DOI: 10.3389/fcvm.2024.1414974] [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: 04/09/2024] [Accepted: 06/28/2024] [Indexed: 07/27/2024] Open
Abstract
Background Atrial fibrillation (AF) is a common persistent arrhythmia characterized by rapid and chaotic atrial electrical activity, potentially leading to severe complications such as thromboembolism, heart failure, and stroke, significantly affecting patient quality of life and safety. As the global population ages, the prevalence of AF is on the rise, placing considerable strains on individuals and healthcare systems. This study utilizes bioinformatics and Mendelian Randomization (MR) to analyze transcriptome data and genome-wide association study (GWAS) summary statistics, aiming to identify biomarkers causally associated with AF and explore their potential pathogenic pathways. Methods We obtained AF microarray datasets GSE41177 and GSE79768 from the Gene Expression Omnibus (GEO) database, merged them, and corrected for batch effects to pinpoint differentially expressed genes (DEGs). We gathered exposure data from expression quantitative trait loci (eQTL) and outcome data from AF GWAS through the IEU Open GWAS database. We employed inverse variance weighting (IVW), MR-Egger, weighted median, and weighted model approaches for MR analysis to assess exposure-outcome causality. IVW was the primary method, supplemented by other techniques. The robustness of our results was evaluated using Cochran's Q test, MR-Egger intercept, MR-PRESSO, and leave-one-out sensitivity analysis. A "Veen" diagram visualized the overlap of DEGs with significant eQTL genes from MR analysis, referred to as common genes (CGs). Additional analyses, including Gene Ontology (GO) enrichment, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways, and immune cell infiltration studies, were conducted on these intersecting genes to reveal their roles in AF pathogenesis. Results The combined dataset revealed 355 differentially expressed genes (DEGs), with 228 showing significant upregulation and 127 downregulated. Mendelian randomization (MR) analysis identified that the autocrine motility factor receptor (AMFR) [IVW: OR = 0.977; 95% CI, 0.956-0.998; P = 0.030], leucine aminopeptidase 3 (LAP3) [IVW: OR = 0.967; 95% CI, 0.934-0.997; P = 0.048], Rab acceptor 1 (RABAC1) [IVW: OR = 0.928; 95% CI, 0.875-0.985; P = 0.015], and tryptase beta 2 (TPSB2) [IVW: OR = 0.971; 95% CI, 0.943-0.999; P = 0.049] are associated with a reduced risk of atrial fibrillation (AF). Conversely, GTPase-activating SH3 domain-binding protein 2 (G3BP2) [IVW: OR = 1.030; 95% CI, 1.004-1.056; P = 0.024], integrin subunit beta 2 (ITGB2) [IVW: OR = 1.050; 95% CI, 1.017-1.084; P = 0.003], glutaminyl-peptide cyclotransferase (QPCT) [IVW: OR = 1.080; 95% CI, 1.010-0.997; P = 1.154], and tripartite motif containing 22 (TRIM22) [IVW: OR = 1.048; 95% CI, 1.003-1.095; P = 0.035] are positively associated with AF risk. Sensitivity analyses indicated a lack of heterogeneity or horizontal pleiotropy (P > 0.05), and leave-one-out analysis did not reveal any single nucleotide polymorphisms (SNPs) impacting the MR results significantly. GO and KEGG analyses showed that CG is involved in processes such as protein polyubiquitination, neutrophil degranulation, specific and tertiary granule formation, protein-macromolecule adaptor activity, molecular adaptor activity, and the SREBP signaling pathway, all significantly enriched. The analysis of immune cell infiltration demonstrated associations of CG with various immune cells, including plasma cells, CD8T cells, resting memory CD4T cells, regulatory T cells (Tregs), gamma delta T cells, activated NK cells, activated mast cells, and neutrophils. Conclusion By integrating bioinformatics and MR approaches, genes such as AMFR, G3BP2, ITGB2, LAP3, QPCT, RABAC1, TPSB2, and TRIM22 are identified as causally linked to AF, enhancing our understanding of its molecular foundations. This strategy may facilitate the development of more precise biomarkers and therapeutic targets for AF diagnosis and treatment.
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Affiliation(s)
- Yujun Zhang
- Data Management Center, Xianyang Hospital, Yan'an University, Xianyang, China
| | - Qiufang Lian
- Department of Cardiology, Xianyang Hospital, Yan'an University, Xianyang, China
| | - Yanwu Nie
- School of Public Health, Nanchang University, Nanchang, China
| | - Wei Zhao
- Department of Cardiology, Xianyang Hospital, Yan'an University, Xianyang, China
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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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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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6
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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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Kwon J, Kim BH. Risk of clinically significant cardiovascular disease associated with postoperative radiotherapy in non-small cell lung cancer patients receiving surgical resection followed by adjuvant chemotherapy: A Korean nationwide cohort study. Radiother Oncol 2024; 195:110241. [PMID: 38522599 DOI: 10.1016/j.radonc.2024.110241] [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: 02/09/2024] [Revised: 03/17/2024] [Accepted: 03/20/2024] [Indexed: 03/26/2024]
Abstract
BACKGROUND There are no large-scale datasets that analyze the relationship between postoperative radiotherapy (PORT) and various cardiovascular diseases (CVDs) in patients with locally advanced non-small cell lung cancer (NSCLC). Therefore, we aimed to investigate the incidences of CVDs with PORT using a national population-based database. METHODS Patients diagnosed with NSCLC who underwent curative surgery followed by adjuvant chemotherapy were included from 2007 to 2017. Patients with a prior diagnosis of heart failure (HF), atrial fibrillation (AFib), or heart surgery were excluded. A total of 11,141 patients were included in the final analysis. PORT was used in 1334 patients. Most patients received lobectomy with mediastinal lymph node dissection. RESULTS Major adverse cardiac events mostly occurred within 3-4 years from the diagnosis. After the median follow-up duration of 70.6 months, HF was the most diagnosed disease (5.3 %), followed by AFib (4.5 %), stroke (4.1 %), and pulmonary embolism (3.5 %). All the incidences of clinically significant CVDs did not differ by PORT. This result remained unchanged after the propensity score matching comparison. Age ≥ 65, underlying hypertension, and history of ischemic heart disease were the most related factors to the occurrence of HF and AFib. No significant difference in CVD-free survivals according to PORT status was observed. When stratified by proposed scoring, there were no subgroups showed increased incidence by PORT. CONCLUSIONS These results suggest that PORT had no significant impact on various CVD occurrences in NSCLC patients without underlying heart disease.
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Affiliation(s)
- Jeanny Kwon
- Department of Radiation Oncology, Chungnam National University School of Medicine, Munhwa-ro 282, Jung-gu, Daejeon 35015, Republic of Korea
| | - Byoung Hyuck Kim
- Department of Radiation Oncology, Seoul National University College of Medicine, SMG-SNU Boramae Medical Center, 20, Boramae-ro 5-gil, Dongjak-gu, Seoul 07061, Republic of Korea.
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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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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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Jin Z, Sun X, Zhou C, Yang H, Zhou S. Cardiac substructures dosimetric predicts cardiac toxicity and prognosis in esophageal squamous cell cancer treated by radiotherapy. Neoplasia 2024; 48:100969. [PMID: 38199173 PMCID: PMC10788793 DOI: 10.1016/j.neo.2024.100969] [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: 10/29/2023] [Revised: 12/26/2023] [Accepted: 01/03/2024] [Indexed: 01/12/2024]
Abstract
PURPOSE To look into the relationship between cardiac substructures (CS) dosimetric parameters and cardiac events (CE) or overall survival (OS) in patients undergoing radiation therapy (RT) for esophageal squamous cell carcinoma (ESCC). METHODS AND MATERIALS A retrospective study included 350 patients with ESCC receiving definitive chemoradiotherapy or radiotherapy (d-CRT/d-RT) or neoadjuvant chemoradiotherapy (NCRT) from March 2013 to May 2022. Our study examined the adverse cardiac events of any grade or G3+, as defined by the Common Terminology Criteria for Adverse Events (CTCAE) version 5.0. Competing risk analysis and Cox regression analysis were used to assess the relationship between CS doses and CEs or OS. RESULTS 201 (57.4 %) patients received any grade CEs over a median follow-up time of 22.50 months (IQR, 12.40-45.60), and 24 (6.86 %) patients suffered G3+ CEs. On landmark analysis, patients with any grade CEs had significantly lower OS (P = 0.003). Multivariable analysis revealed that any grade CEs were predicted by the dose of CSs in all populations. In addition, for G3+ cardiac events, arrhythmic and small probability of cardiac events, LAD V20 ((HR: 1.02, 95 % CI: 1.00-1.03, P = 0.012; HR: 1.01, 95 % CI: 1.00-1.02, P = 0.005; HR; 1.01, 95 % CI: 1.00-1.02, P = 0.012) was also an independent predictive factor. LAD V50 (HR: 1.07, 95 % CI: 1.03-1.10, P <0.001) predicted pericardium effusion events. Moreover, the multivariable analysis revealed that OS was predicted by LAD V30 (HR: 1.03; 95 % CI, 1.01-1.05, P = 0.015). CONCLUSIONS In the population of ESCC patients receiving RT, we showed that the CS factors had a substantial predictive value for the various types and grades of CEs. The elevated radiation dose of LAD was a significant contributor to a higher rate of cardiac events and a worse prognosis.
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Affiliation(s)
- Zhicheng Jin
- Key Laboratory of Radiation Oncology of Taizhou, Department of Radiation Oncology, Radiation Oncology Institute of Enze Medical Health Academy, Taizhou Hospital Affiliated to Wenzhou Medical University, Zhejiang Province, China
| | - Xuefeng Sun
- Key Laboratory of Radiation Oncology of Taizhou, Department of Radiation Oncology, Radiation Oncology Institute of Enze Medical Health Academy, Taizhou Hospital Affiliated to Wenzhou Medical University, Zhejiang Province, China
| | - Chao Zhou
- Key Laboratory of Radiation Oncology of Taizhou, Department of Radiation Oncology, Radiation Oncology Institute of Enze Medical Health Academy, Taizhou Hospital Affiliated to Wenzhou Medical University, Zhejiang Province, China
| | - Haihua Yang
- Key Laboratory of Radiation Oncology of Taizhou, Department of Radiation Oncology, Radiation Oncology Institute of Enze Medical Health Academy, Taizhou Hospital Affiliated to Wenzhou Medical University, Zhejiang Province, China; Key Laboratory of Minimally Invasive Techniques & Rapid Rehabilitation of Digestive System Tumor of Zhejiang Province, Taizhou, Zhejiang 317000, China
| | - Suna Zhou
- Key Laboratory of Radiation Oncology of Taizhou, Department of Radiation Oncology, Radiation Oncology Institute of Enze Medical Health Academy, Taizhou Hospital Affiliated to Wenzhou Medical University, Zhejiang Province, China; Key Laboratory of Minimally Invasive Techniques & Rapid Rehabilitation of Digestive System Tumor of Zhejiang Province, Taizhou, Zhejiang 317000, China.
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11
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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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12
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Benali K, Zei PC, Lloyd M, Kautzner J, Guenancia C, Ninni S, Rigal L, Simon A, Bellec J, Vlachos K, Sacher F, Hammache N, Sellal JM, de Crevoisier R, Da Costa A, Martins R. One-year mortality and causes of death after stereotactic radiation therapy for refractory ventricular arrhythmias: A systematic review and pooled analysis. Trends Cardiovasc Med 2024:S1050-1738(23)00122-6. [PMID: 38191005 DOI: 10.1016/j.tcm.2023.12.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Revised: 11/25/2023] [Accepted: 12/27/2023] [Indexed: 01/10/2024]
Abstract
Patients treated with cardiac stereotactic body radiation therapy (radioablation) for refractory ventricular arrhythmias are patients with advanced structural heart disease and significant comorbidities. However, data regarding 1-year mortality after the procedure are scarce. This systematic review and pooled analysis aimed at determining 1-year mortality after cardiac radioablation for refractory ventricular arrhythmias and investigating leading causes of death in this population. MEDLINE/EMBASE databases were searched up to January 2023 for studies including patients undergoing cardiac radioablation for the treatment of refractory ventricular arrhythmias. Quality of included trials was assessed using the NIH Tool for Case Series Studies (PROSPERO CRD42022379713). A total of 1,151 references were retrieved and evaluated for relevance. Data were extracted from 16 studies, with a total of 157 patients undergoing cardiac radioablation for refractory ventricular arrhythmias. Pooled 1-year mortality was 32 % (95 %CI: 23-41), with almost half of the deaths occurring within three months after treatment. Among the 157 patients, 46 died within the year following cardiac radioablation. Worsening heart failure appeared to be the leading cause of death (52 %), although non-cardiac mortality remained substantial (41 %) in this population. Age≥70yo was associated with a significantly higher 12-month all-cause mortality (p<0.022). Neither target volume size nor radiotherapy device appeared to be associated with 1-year mortality (p = 0.465 and p = 0.199, respectively). About one-third of patients undergoing cardiac stereotactic body radiation therapy for refractory ventricular arrhythmias die within the first year after the procedure. Worsening heart failure appears to be the leading cause of death in this population.
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Affiliation(s)
- Karim Benali
- Section of Cardiac Electrophysiology, Saint-Etienne University, Saint-Etienne, France; IHU LIRYC, Electrophysiology and Heart Modeling Institute, Bordeaux, France; INSERM-LTSI, U1099 Rennes, France.
| | - Paul C Zei
- Department of Cardiovascular Medicine, Brigham and Women's Hospital, Boston, United States
| | - Michael Lloyd
- Section of Cardiac Electrophysiology, Emory University, Atlanta, United States
| | - Josef Kautzner
- Institute for Clinical and Experimental Medicine, Prague, Czech Republic
| | - Charles Guenancia
- Section of Cardiac Electrophysiology, Dijon University, Dijon, France
| | - Sandro Ninni
- Heart and Lung Institute, Lille University, Lille, France
| | | | | | - Julien Bellec
- Department of Radiation Oncology, Centre Eugène Marquis, Rennes, France
| | | | - Frederic Sacher
- IHU LIRYC, Electrophysiology and Heart Modeling Institute, Bordeaux, France
| | - Nefissa Hammache
- Section of Cardiac Electrophysiology, Nancy University, Nancy, France
| | - Jean-Marc Sellal
- Section of Cardiac Electrophysiology, Nancy University, Nancy, France
| | | | - Antoine Da Costa
- Section of Cardiac Electrophysiology, Saint-Etienne University, Saint-Etienne, France
| | - Raphael Martins
- INSERM-LTSI, U1099 Rennes, France; Section of Cardiac Electrophysiology, Rennes University, Rennes, France
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13
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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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14
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Hawryszko M, Sławiński G, Tomasik B, Lewicka E. Cardiac Arrhythmias in Patients Treated for Lung Cancer: A Review. Cancers (Basel) 2023; 15:5723. [PMID: 38136269 PMCID: PMC10741954 DOI: 10.3390/cancers15245723] [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: 10/29/2023] [Revised: 11/25/2023] [Accepted: 12/03/2023] [Indexed: 12/24/2023] Open
Abstract
Cardio-oncology currently faces one of the greatest challenges in the field of health care. The main goal of this discipline is to ensure that patients treated for cancer do not suffer or die from cardiovascular disease. The number of studies on the mechanisms of heart injury during cancer treatment is constantly increasing. However, there is insufficient data on heart rhythm disorders that may result from this treatment. This issue seems to be particularly important in patients with lung cancer, in whom anticancer therapy, especially radiotherapy, may contribute to the onset of cardiac arrhythmias. The observed relationship between cardiac dosimetry and radiotherapy-induced cardiotoxicity in lung cancer treatment may explain the increased mortality from cardiovascular causes in patients after chest irradiation. Further research is essential to elucidate the role of cardiac arrhythmias in this context. Conversely, recent reports have highlighted the application of stereotactic arrhythmia radioablation (STAR) in the treatment of ventricular tachycardia. This review of available studies on the epidemiology, pathogenesis, diagnosis, and treatment of arrhythmias in patients treated for lung cancer aims to draw attention to the need for regular cardiological monitoring in this group of patients. Improving cardiac care for patients with lung cancer has the potential to enhance their overall therapeutic outcomes.
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Affiliation(s)
- Maja Hawryszko
- Department of Cardiology and Heart Electrotherapy, Faculty of Medicine, Medical University of Gdansk, Smoluchowskiego 17 Street, 80-214 Gdansk, Poland; (M.H.); (E.L.)
| | - Grzegorz Sławiński
- Department of Cardiology and Heart Electrotherapy, Faculty of Medicine, Medical University of Gdansk, Smoluchowskiego 17 Street, 80-214 Gdansk, Poland; (M.H.); (E.L.)
| | - Bartłomiej Tomasik
- Department of Oncology and Radiotherapy, Faculty of Medicine, Medical University of Gdansk, Smoluchowskiego 17 Street, 80-214 Gdansk, Poland;
| | - Ewa Lewicka
- Department of Cardiology and Heart Electrotherapy, Faculty of Medicine, Medical University of Gdansk, Smoluchowskiego 17 Street, 80-214 Gdansk, Poland; (M.H.); (E.L.)
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15
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No HJ, Guo FB, Park NJI, Kastelowitz N, Rhee JW, Clark DE, Chin ALC, Vitzthum LK, Horst KC, Moding EJ, Loo BW, Diehn M, Binkley MS. Predicting Adverse Cardiac Events After Radiotherapy for Locally Advanced Non-Small Cell Lung Cancer. JACC CardioOncol 2023; 5:775-787. [PMID: 38205000 PMCID: PMC10774791 DOI: 10.1016/j.jaccao.2023.08.007] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Revised: 08/07/2023] [Accepted: 08/14/2023] [Indexed: 01/12/2024] Open
Abstract
Background Radiotherapy may cause grade ≥3 cardiac events, necessitating a better understanding of risk factors. The potential predictive role of imaging biomarkers with radiotherapy doses for cardiac event occurrence has not been studied. Objectives The aim of this study was to establish the associations between cardiac substructure dose and coronary artery calcium (CAC) scores and cardiac event occurrence. Methods A retrospective cohort analysis included patients with locally advanced non-small cell lung cancer treated with radiotherapy (2006-2018). Cardiac substructures, including the left anterior descending coronary artery, left main coronary artery, left circumflex coronary artery, right coronary artery, and TotalLeft (left anterior descending, left main, and left circumflex coronary arteries), were contoured. Doses were measured in 2-Gy equivalent units, and visual CAC scoring was compared with automated scoring. Grade ≥3 adverse cardiac events were recorded. Time-dependent receiver-operating characteristic modeling, the log-rank statistic, and competing-risk models were used to measure prediction performance, threshold modeling, and the cumulative incidence of cardiac events, respectively. Results Of the 233 eligible patients, 61.4% were men, with a median age of 68.1 years (range: 34.9-90.7 years). The median follow-up period was 73.7 months (range: 1.6-153.9 months). Following radiotherapy, 22.3% experienced cardiac events, within a median time of 21.5 months (range: 1.7-118.9 months). Visual CAC scoring showed significant correlation with automated scoring (r = 0.72; P < 0.001). In a competing-risk multivariable model, TotalLeft volume receiving 15 Gy (per 1 cc; HR: 1.38; 95% CI: 1.11-1.72; P = 0.004) and CAC score >5 (HR: 2.51; 95% CI: 1.08-5.86; P = 0.033) were independently associated with cardiac events. A model incorporating age, TotalLeft CAC (score >5), and volume receiving 15 Gy demonstrated a higher incidence of cardiac events for a high-risk group (28.9%) compared with a low-risk group (6.9%) (P < 0.001). Conclusions Adverse cardiac events associated with radiation occur in more than 20% of patients undergoing thoracic radiotherapy within a median time of <2 years. The present findings provide further evidence to support significant associations between TotalLeft radiotherapy dose and cardiac events and define CAC as a predictive risk factor.
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Affiliation(s)
- Hyunsoo Joshua No
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, California, USA
| | - Felicia B. Guo
- University of Rochester School of Medicine and Dentistry, Rochester, New York, USA
| | - Natalie Jung-In Park
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, California, USA
| | - Noah Kastelowitz
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, California, USA
| | - June-Wha Rhee
- Department of Medicine, Division of Cardiology, City of Hope Comprehensive Cancer Center, Duarte, California, USA
| | - Daniel Eugene Clark
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, California, USA
| | - Alexander Li-Che Chin
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, California, USA
| | - Lucas Kas Vitzthum
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, California, USA
| | - Kathleen Claire Horst
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, California, USA
| | - Everett James Moding
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, California, USA
| | - Billy W. Loo
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, California, USA
| | - Maximilian Diehn
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, California, USA
| | - Michael Sargent Binkley
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, California, USA
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16
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Ladbury C, Li R, Danesharasteh A, Ertem Z, Tam A, Liu J, Hao C, Li R, McGee H, Sampath S, Williams T, Glaser S, Khasawneh M, Liao Z, Lee P, Ryckman J, Shaikh P, Amini A. Explainable Artificial Intelligence to Identify Dosimetric Predictors of Toxicity in Patients with Locally Advanced Non-Small Cell Lung Cancer: A Secondary Analysis of RTOG 0617. Int J Radiat Oncol Biol Phys 2023; 117:1287-1296. [PMID: 37406826 DOI: 10.1016/j.ijrobp.2023.06.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 04/28/2023] [Accepted: 06/13/2023] [Indexed: 07/07/2023]
Abstract
PURPOSE Dosimetric predictors of toxicity in patients treated with definitive chemoradiation for locally advanced non-small cell lung cancer are often identified through trial and error. This study used machine learning (ML) and explainable artificial intelligence to empirically characterize dosimetric predictors of toxicity in patients treated as part of a prospective clinical trial. METHODS AND MATERIALS A secondary analysis of the Radiation Therapy Oncology Group (RTOG) 0617 trial was performed. Multiple ML models were trained to predict grade ≥3 pulmonary, cardiac, and esophageal toxicities using clinical and dosimetric features. Model performance was evaluated using the area under the curve (AUC). The best performing model for each toxicity was explained using the Shapley Additive Explanation (SHAP) framework; SHAP values were used to identify relevant dosimetric thresholds and were converted to odds ratios (ORs) with confidence intervals (CIs) generated using bootstrapping to obtain quantitative measures of risk. Thresholds were validated using logistic regression. RESULTS The best-performing models for pulmonary, cardiac, and esophageal toxicities, outperforming logistic regression, were extreme gradient boosting (AUC, 0.739), random forest (AUC, 0.706), and naive Bayes (AUC, 0.721), respectively. For pulmonary toxicity, thresholds of a mean dose >18 Gy (OR, 2.467; 95% CI, 1.049-5.800; P = .038) and lung volume receiving ≥20 Gy (V20) > 37% (OR, 2.722; 95% CI, 1.034-7.163; P = .043) were identified. For esophageal toxicity, thresholds of a mean dose >34 Gy (OR, 4.006; 95% CI, 2.183-7.354; P < .001) and V20 > 37% (OR, 3.725; 95% CI, 1.308-10.603; P = .014) were identified. No significant thresholds were identified for cardiac toxicity. CONCLUSIONS In this data set, ML approaches validated known dosimetric thresholds and outperformed logistic regression at predicting toxicity. Furthermore, using explainable artificial intelligence, clinically useful dosimetric thresholds might be identified and subsequently externally validated.
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Affiliation(s)
- Colton Ladbury
- Department of Radiation Oncology, City of Hope National Medical Center, Duarte, California
| | - Richard Li
- Department of Radiation Oncology, Partners in Health Whittier Hospital, Whittier, California
| | - Anseh Danesharasteh
- Department of Systems Science and Industrial Engineering, Binghamton University, Binghamton, New York
| | - Zeynep Ertem
- Department of Systems Science and Industrial Engineering, Binghamton University, Binghamton, New York
| | - Andrew Tam
- Department of Radiation Oncology, City of Hope National Medical Center, Duarte, California
| | - Jason Liu
- Department of Radiation Oncology, City of Hope National Medical Center, Duarte, California
| | - Claire Hao
- Department of Radiation Oncology, City of Hope National Medical Center, Duarte, California
| | - Rose Li
- Department of Radiation Oncology, City of Hope National Medical Center, Duarte, California
| | - Heather McGee
- Department of Radiation Oncology, City of Hope National Medical Center, Duarte, California
| | - Sagus Sampath
- Department of Radiation Oncology, City of Hope National Medical Center, Duarte, California
| | - Terence Williams
- Department of Radiation Oncology, City of Hope National Medical Center, Duarte, California
| | - Scott Glaser
- Department of Radiation Oncology, City of Hope National Medical Center, Duarte, California
| | - Mohammad Khasawneh
- Department of Systems Science and Industrial Engineering, Binghamton University, Binghamton, New York
| | - Zhongxing Liao
- Department of Radiation Oncology, MD Anderson Cancer Center, Houston, Texas
| | - Percy Lee
- Department of Radiation Oncology, City of Hope Orange County Lennar Foundation Cancer Center, Irvine, California
| | - Jeff Ryckman
- Department of Radiation Oncology, West Virginia University Medicine Camden Clark Medical Center, Parkersburg, West Virginia
| | - Parvez Shaikh
- Department of Radiation Oncology, West Virginia University School of Medicine, Morgantown, West Virginia
| | - Arya Amini
- Department of Radiation Oncology, City of Hope National Medical Center, Duarte, California.
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17
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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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18
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Stefan MF, Herghelegiu CG, Magda SL. Accelerated Atherosclerosis and Cardiovascular Toxicity Induced by Radiotherapy in Breast Cancer. Life (Basel) 2023; 13:1631. [PMID: 37629488 PMCID: PMC10455250 DOI: 10.3390/life13081631] [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: 06/19/2023] [Revised: 07/17/2023] [Accepted: 07/24/2023] [Indexed: 08/27/2023] Open
Abstract
The number of patients diagnosed with breast cancer and cardiovascular disease is continuously rising. Treatment options for breast cancer have greatly evolved, but radiotherapy (RT) still has a key role in it. Despite many advances in RT techniques, cardiotoxicity is one of the most important side effects. The new cardio-oncology guidelines recommend a baseline evaluation, risk stratification and follow-up of these patients. Cardiotoxicity induced by RT can be represented by almost all forms of cardiovascular disease, with atherosclerosis being the most frequent. An interdisciplinary team should manage these patients, in order to have maximum therapeutic effect and minimum cardiovascular toxicity. This review will summarize the current incidence, risk factors, mechanisms and follow-up of RT-induced cardiovascular toxicity.
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Affiliation(s)
- Miruna Florina Stefan
- Department of Cardiology, University and Emergency Hospital, 050098 Bucharest, Romania;
| | - Catalin Gabriel Herghelegiu
- Institutul National Pentru Sanatatea Mamei si a Copilului “Alessandrescu Rusescu”, 020395 Bucharest, Romania;
| | - Stefania Lucia Magda
- Department of Cardiology, University and Emergency Hospital, 050098 Bucharest, Romania;
- Department of Cardiology and Cardiovascular Surgery, University of Medicine and Pharmacy Carol Davila, 020021 Bucharest, Romania
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19
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McWilliam A, Abravan A, Banfill K, Faivre-Finn C, van Herk M. Demystifying the Results of RTOG 0617: Identification of Dose Sensitive Cardiac Subregions Associated With Overall Survival. J Thorac Oncol 2023; 18:599-607. [PMID: 36738929 DOI: 10.1016/j.jtho.2023.01.085] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Revised: 01/18/2023] [Accepted: 01/22/2023] [Indexed: 02/05/2023]
Abstract
INTRODUCTION The RTOG 0617 trial presented a worse survival for patients with lung cancer treated in the high-dose (74 Gy) arm. In multivariable models, radiation level and whole-heart volumetric dose parameters were associated with survival. In this work, we consider heart subregions to explain the observed survival difference between radiation levels. METHODS Voxel-based analysis identified anatomical regions where the dose was associated with survival. Bootstrapping clinical and dosimetric variables into an elastic net model selected variables associated with survival. Multivariable Cox regression survival models assessed the significance of dose to the heart subregion, compared with whole heart v5 and v30. Finally, the trial outcome was assessed after propensity score matching of patients on lung dose, heart subregion dose, and tumor volume. RESULTS A total of 458 patients were eligible for voxel-based analysis. A region of significance (p < 0.001) was identified in the base of the heart. Bootstrapping selected mean lung dose, radiation level, log tumor volume, and heart region dose. The multivariable Cox model exhibited dose to the heart region (p = 0.02), and tumor volume (p = 0.03) were significantly associated with survival, and radiation level was not significant (p = 0.07). The models exhibited that whole heart v5 and v30 were not associated with survival, with radiation level being significant (p < 0.05). In the matched cohort, no significant survival difference was seen between radiation levels. CONCLUSIONS Dose to the base of the heart is associated with overall survival, partly removing the radiation level effect, and explaining that worse survival in the high-dose arm is owing, in part, to the heart subregion dose. By defining a heart avoidance region, future dose escalation trials may be feasible.
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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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20
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Yegya-Raman N, Jabbour SK, Feigenberg SJ. Sinoatrial Node Radiation Dose and Atrial Fibrillation in Patients With Lung Cancer. JAMA Oncol 2023; 9:572-573. [PMID: 36795386 PMCID: PMC10849396 DOI: 10.1001/jamaoncol.2022.7872] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/17/2023]
Affiliation(s)
- Nikhil Yegya-Raman
- Department of Radiation Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Salma K Jabbour
- Rutgers Cancer Institute of New Jersey, Department of Radiation Oncology, Robert Wood Johnson Medical School, Rutgers University, New Brunswick
| | - Steven J Feigenberg
- Department of Radiation Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
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21
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Loap P, Goudjil F, Servois V, Kirov K, Fourquet A, Kirova Y. Radiation Exposure of Cardiac Conduction Nodes During Breast Proton Therapy. Int J Part Ther 2023; 10:59-64. [PMID: 37823017 PMCID: PMC10563662 DOI: 10.14338/ijpt-22-00038.1] [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: 10/21/2022] [Accepted: 01/30/2023] [Indexed: 10/13/2023] Open
Abstract
Purpose The exposition of cardiac conduction system during breast radiation therapy has never been studied, despite the increasing use of intensity-modulated radiation therapy, which exposes larger volume to low-dose bath. We evaluated conduction node exposure during breast irradiation with volumetric modulated arc therapy and estimated the potential dosimetric benefit with intensity-modulated proton therapy. Materials and Methods Atrioventricular (AVN) and sinoatrial (SAN) nodes were retrospectively delineated according to published guidelines on the simulation computed tomography scans of 12 breast cancer patients having undergone conserving surgery and adjuvant locoregional volumetric modulated arc therapy. Intensity-modulated proton therapy treatment was replanned on the simulation computed tomography scans for all breast cancer patients. Mean and maximum doses delivered to the SAN and the AVN were retrieved and compared. Correlation coefficients were calculated between doses to the SAN or the AVN and the whole heart. Results Average mean doses delivered to the SAN and AVN were 2.8 and 2.3 Gy, respectively, for left-sided irradiation and 9.6 and 3.6 Gy, respectively, for right-sided irradiation. Average maximum doses to the SAN and AVN were 3.5 Gy and 2.8 Gy, respectively, for left-sided irradiation and 13.1 and 4.6 Gy, respectively, for right-sided irradiation. Intensity-modulated proton therapy significantly reduced mean and maximum doses to the SAN and AVN. Correlations between doses to the SAN or AVN and whole heart were usually significant. Conclusion SAN and AVN can be substantially exposed during breast volumetric modulated arc therapy, especially for right-sided irradiation. Cardiotoxicity studies evaluating conduction node exposure might define dose constraints and criteria for additional cardiac-sparing techniques, such as respiratory techniques or proton therapy, which could benefit patients with underlying rhythmic or conduction disorders.
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Affiliation(s)
- Pierre Loap
- Department of Radiation Oncology, Institut Curie, Paris, France
| | - Farid Goudjil
- Department of Radiation Oncology, Institut Curie, Paris, France
| | | | - Krassen Kirov
- Department of Anesthesiology, Institut Curie, Paris, France
| | - Alain Fourquet
- Department of Radiation Oncology, Institut Curie, Paris, France
| | - Youlia Kirova
- Department of Radiation Oncology, Institut Curie, Paris, France
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22
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Yegya-Raman N, Berlin E, Feigenberg SJ, Ky B, Sun L. Cardiovascular Toxicity and Risk Mitigation with Lung Cancer Treatment. Curr Oncol Rep 2023; 25:433-444. [PMID: 36811807 DOI: 10.1007/s11912-023-01387-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/16/2023] [Indexed: 02/24/2023]
Abstract
PURPOSE OF REVIEW Patients with lung cancer often have concomitant cardiovascular comorbidities and receive potentially cardiotoxic therapies. As oncologic outcomes improve, the relative impact of cardiovascular disease on lung cancer survivors is expected to increase. This review summarizes cardiovascular toxicities observed after treatment for lung cancer, as well as recommended risk mitigation strategies. RECENT FINDINGS A variety of cardiovascular events may be observed after surgery, radiation therapy (RT), and systemic therapy. The risk of cardiovascular events after radiation therapy (RT) is higher than previously appreciated (23-32%), and RT dose to the heart is a modifiable risk factor. Targeted agents and immune checkpoint inhibitors have been associated with cardiovascular toxicities distinct from those of cytotoxic agents; these are rare but can be severe and require prompt intervention. Optimization of cardiovascular risk factors is important at all phases of cancer therapy and survivorship. Recommended practices for baseline risk assessment, preventive measures, and appropriate monitoring are discussed herein.
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Affiliation(s)
- Nikhil Yegya-Raman
- Department of Radiation Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Eva Berlin
- Department of Radiation Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Steven J Feigenberg
- Department of Radiation Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Bonnie Ky
- Division of Cardiology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Lova Sun
- Division of Hematology Oncology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, 3400 Civic Center Boulevard, West Pavilion, 2nd Floor, Philadelphia, PA, 19104, USA.
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23
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Walls GM, Hanna GG. Sinoatrial Node Radiation Dose and Atrial Fibrillation in Patients With Lung Cancer. JAMA Oncol 2023; 9:573-574. [PMID: 36795391 DOI: 10.1001/jamaoncol.2022.7875] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/17/2023]
Affiliation(s)
- Gerard M Walls
- Patrick G Johnston Centre for Cancer Research, Queen's University Belfast, Belfast, United Kingdom
| | - Gerard G Hanna
- Patrick G Johnston Centre for Cancer Research, Queen's University Belfast, Belfast, United Kingdom
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24
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Kim KH, Oh J, Yoon HI. Sinoatrial Node Radiation Dose and Atrial Fibrillation in Patients With Lung Cancer-Reply. JAMA Oncol 2023; 9:574. [PMID: 36795399 DOI: 10.1001/jamaoncol.2022.7878] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/17/2023]
Affiliation(s)
- Kyung Hwan Kim
- Yonsei Cancer Center, Heavy Ion Therapy Research Institute, Department of Radiation Oncology, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Jaewon Oh
- Severance Cardiovascular Hospital and Cardiovascular Research Institute, Cardiology Division, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Hong In Yoon
- Yonsei Cancer Center, Heavy Ion Therapy Research Institute, Department of Radiation Oncology, Yonsei University College of Medicine, Seoul, Republic of Korea
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25
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Loap P, Vu-Bezin J, Monceau V, Jacob S, Fourquet A, Kirova Y. Dosimetric evaluation of the benefit of deep inspiration breath hold (DIBH) for locoregional irradiation of right breast cancer with volumetric modulated arctherapy (VMAT). Acta Oncol 2023; 62:150-158. [PMID: 36786671 DOI: 10.1080/0284186x.2023.2177976] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/15/2023]
Abstract
INTRODUCTION Right-lateralized cardiac substructures can be substantially exposed during right breast cancer (R-BC) radiotherapy. The cardiac benefit of deep inspiration breath hold (DIBH) is established in combination with volumetric modulated arctherapy (VMAT) for left breast cancer with regional node irradiation but is unknown for R-BC. This study evaluated the dosimetric benefit of DIBH for locoregional irradiation of R-BC with VMAT. MATERIAL AND METHODS All patients treated for R-BC with adjuvant locoregional DIBH-VMAT in the Department of Radiation Oncology of the Institut Curie (Paris, France) until December 2022 were included, corresponding to 15 patients. FB- and DIBH-VMAT plans were compared both for a normofractionated regimen (50 Gy/25fx) used for treatment and a replanned hypofractionated regimen (40 Gy/15fx). Dose to the heart, cardiac substructures (sinoatrial node (SAN), atrio-ventricular node (AVN), right coronary artery, left anterior descending coronary artery, left ventricle), ipsilateral lung and liver were retrieved and compared. RESULTS Mean heart dose (MHD) was 3.33 Gy with FB vs. 3.10 Gy with DIBH on normofractionated plans (p = 0.489), and 2.58 Gy with FB vs. 2.41 Gy with DIBH on hypofractionated plan (p = 0.489). The benefit of DIBH was not significant for any cardiac substructure. The most exposed cardiac substructure were the SAN (mean dose of 6.62 Gy for FB- and 5.64 Gy for DIBH-VMAT on normofractionated plans) and the RCA (mean dose of 4.21 Gy for FB- and 4.06 Gy for DIBH-VMAT on normofractionated plans). The maximum benefit was observed for the RCA with a median individual dose reduction of 0.84 Gy on normofractionated plans (p = 0.599). No significant dosimetric difference were observed for right lung. Liver mean dose was significantly lower with DIBH with median values decreasing from 2.54 Gy to 0.87 Gy (p = 0.01). CONCLUSION Adding DIBH to efficient cardiac-sparing radiotherapy techniques, such as VMAT, is not justified in the general case for locoregional R-BC irradiation. Specific R-BC patient subpopulations who could benefit from additional DIBH combination with locoregional VMAT are yet to be identified.
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Affiliation(s)
- Pierre Loap
- Department of Radiation Oncology, Institut Curie, Paris, France
| | - Jeremi Vu-Bezin
- Department of Radiation Oncology, Institut Curie, Paris, France
| | - Virginie Monceau
- Institute for Radiation Protection and Nuclear Safety (IRSN), Fontenay-Aux-Roses, France
| | - Sophie Jacob
- Institute for Radiation Protection and Nuclear Safety (IRSN), Fontenay-Aux-Roses, France
| | - Alain Fourquet
- Department of Radiation Oncology, Institut Curie, Paris, France
| | - Youlia Kirova
- Department of Radiation Oncology, Institut Curie, Paris, France
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