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Midroni J, Salunkhe R, Liu Z, Chow R, Boldt G, Palma D, Hoover D, Vinogradskiy Y, Raman S. Incorporation of Functional Lung Imaging Into Radiation Therapy Planning in Patients With Lung Cancer: A Systematic Review and Meta-Analysis. Int J Radiat Oncol Biol Phys 2024:S0360-3016(24)00481-4. [PMID: 38631538 DOI: 10.1016/j.ijrobp.2024.04.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Revised: 03/27/2024] [Accepted: 04/02/2024] [Indexed: 04/19/2024]
Abstract
Our purpose was to provide an understanding of current functional lung imaging (FLI) techniques and their potential to improve dosimetry and outcomes for patients with lung cancer receiving radiation therapy (RT). Excerpta Medica dataBASE (EMBASE), PubMed, and Cochrane Library were searched from 1990 until April 2023. Articles were included if they reported on FLI in one of: techniques, incorporation into RT planning for lung cancer, or quantification of RT-related outcomes for patients with lung cancer. Studies involving all RT modalities, including stereotactic body RT and particle therapy, were included. Meta-analyses were conducted to investigate differences in dose-function parameters between anatomic and functional RT planning techniques, as well as to investigate correlations of dose-function parameters with grade 2+ radiation pneumonitis (RP). One hundred seventy-eight studies were included in the narrative synthesis. We report on FLI modalities, dose-response quantification, functional lung (FL) definitions, FL avoidance techniques, and correlations between FL irradiation and toxicity. Meta-analysis results show that FL avoidance planning gives statistically significant absolute reductions of 3.22% to the fraction of well-ventilated lung receiving 20 Gy or more, 3.52% to the fraction of well-perfused lung receiving 20 Gy or more, 1.3 Gy to the mean dose to the well-ventilated lung, and 2.41 Gy to the mean dose to the well-perfused lung. Increases in the threshold value for defining FL are associated with decreases in functional parameters. For intensity modulated RT and volumetric modulated arc therapy, avoidance planning results in a 13% rate of grade 2+ RP, which is reduced compared with results from conventional planning cohorts. A trend of increased predictive ability for grade 2+ RP was seen in models using FL information but was not statistically significant. FLI shows promise as a method to spare FL during thoracic RT, but interventional trials related to FL avoidance planning are sparse. Such trials are critical to understanding the effect of FL avoidance planning on toxicity reduction and patient outcomes.
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Affiliation(s)
- Julie Midroni
- Temerty Faculty of Medicine, University of Toronto, Toronto, Canada; Radiation Medicine Program, Princess Margaret Cancer Center, Toronto, Canada
| | - Rohan Salunkhe
- Radiation Medicine Program, Princess Margaret Cancer Center, Toronto, Canada; Department of Radiation Oncology, University of Toronto, Toronto, Canada
| | - Zhihui Liu
- Biostatistics, Princess Margaret Cancer Center, Toronto, Canada
| | - Ronald Chow
- Temerty Faculty of Medicine, University of Toronto, Toronto, Canada; Radiation Medicine Program, Princess Margaret Cancer Center, Toronto, Canada; London Regional Cancer Program, London Health Sciences Centre, Schulich School of Medicine and Dentistry, University of Western Ontario, London, Canada
| | - Gabriel Boldt
- London Regional Cancer Program, London Health Sciences Centre, Schulich School of Medicine and Dentistry, University of Western Ontario, London, Canada
| | - David Palma
- London Regional Cancer Program, London Health Sciences Centre, Schulich School of Medicine and Dentistry, University of Western Ontario, London, Canada; Ontario Institute for Cancer Research, Toronto, Canada
| | - Douglas Hoover
- London Regional Cancer Program, London Health Sciences Centre, Schulich School of Medicine and Dentistry, University of Western Ontario, London, Canada
| | - Yevgeniy Vinogradskiy
- Department of Radiation Oncology, University of Colorado School of Medicine, Aurora, United States of America; Department of Radiation Oncology, Thomas Jefferson University, Philadelphia, United States of America
| | - Srinivas Raman
- Radiation Medicine Program, Princess Margaret Cancer Center, Toronto, Canada; Department of Radiation Oncology, University of Toronto, Toronto, Canada.
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Kamtam DN, Binkley MS, Kapula N, Sadeghi C, Nesbit S, Guo HH, Chang J, Maxim PG, Diehn M, Loo BW, Shrager JB. First in Human Phase 1 Clinical Trial of Stereotactic Irradiation to Achieve Lung Volume Reduction (SILVR) in Severe Emphysema. Int J Radiat Oncol Biol Phys 2024:S0360-3016(24)00479-6. [PMID: 38615887 DOI: 10.1016/j.ijrobp.2024.03.049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Revised: 03/14/2024] [Accepted: 03/30/2024] [Indexed: 04/16/2024]
Abstract
PURPOSE Only a subset of patients with severe emphysema qualify for lung volume reduction surgery or endobronchial valves. We previously demonstrated that stereotactic ablative radiation therapy of lung tumors reduces lung volume in treated lobes by creating localized lung fibrosis. We aimed to determine the safety and secondarily explore the efficacy of stereotactic irradiation for lung volume reduction (SILVR) over 18 months after intervention in patients with severe emphysema. METHODS AND MATERIALS We conducted a single-arm, prospective clinical trial in eligible patients with severe emphysema treated with unilateral stereotactic ablative radiation therapy (45 Gy in 3 fractions) to a target within the most emphysematous region. The primary outcome was safety in terms of incidence of grade ≥3 adverse events, and the secondary outcome was efficacy. RESULTS Eight patients received the intervention. Median (range) baseline characteristics were age 73 years (63-78); forced expiratory volume in 1 second percent of predicted value (FEV1%) 28.5% (19.0-42.0); diffusing capacity of the lungs for carbon monoxide percent of predicted value 40% (24.0-67.0); and body mass index, airflow obstruction, dyspnea, and exercise capacity (BODE) index 5.5 (5-9). The incidence of grade ≥3 adverse events was 3 of 8 (37.5%). The relative change in target lobe volume was -23.1% (-1.6 to -41.5) and -26.5% (-20.6 to -40.8) at 6 and 18 months, respectively. The absolute ΔFEV1% was greater in patients with a BODE index ≤5 versus ≥6 (+12.0% vs -2.0%). The mean baseline lung density (in Hounsfield units, reflecting the amount of preserved parenchyma) within the intermediate dose volume (V60BED3) correlated with the absolute change in target lobe volume at 18 months. CONCLUSIONS SILVR appears to be safe, with a signal for efficacy as a novel therapeutic alternative for patients with severe emphysema. SILVR may be most safe and effective in patients with a lower BODE index and/or less parenchymal destruction.
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Affiliation(s)
- Devanish N Kamtam
- Division of Thoracic Surgery, Department of Cardiothoracic Surgery, Stanford University School of Medicine, Stanford, California
| | - Michael S Binkley
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, California
| | - Ntemena Kapula
- Division of Thoracic Surgery, Department of Cardiothoracic Surgery, Stanford University School of Medicine, Stanford, California
| | - Cheyenne Sadeghi
- Division of Thoracic Surgery, Department of Cardiothoracic Surgery, Stanford University School of Medicine, Stanford, California
| | - Shannon Nesbit
- Division of Thoracic Surgery, Department of Cardiothoracic Surgery, Stanford University School of Medicine, Stanford, California
| | - Haiwei Henry Guo
- Department of Radiology, Stanford University School of Medicine, Stanford, California
| | - Joon Chang
- Division of Pulmonary Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, California
| | - Peter G Maxim
- Department of Radiation Oncology, University of California Irvine School of Medicine, Irvine, California
| | - Maximilian Diehn
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, California
| | - Billy W Loo
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, California.
| | - Joseph B Shrager
- Division of Thoracic Surgery, Department of Cardiothoracic Surgery, Stanford University School of Medicine, Stanford, California.
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Bensenane R, Helfre S, Cao K, Carton M, Champion L, Girard N, Glorion M, Vieira T, Waissi W, Crehange G, Beddok A. Optimizing lung cancer radiation therapy: A systematic review of multifactorial risk assessment for radiation-induced lung toxicity. Cancer Treat Rev 2024; 124:102684. [PMID: 38278078 DOI: 10.1016/j.ctrv.2024.102684] [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: 10/09/2023] [Revised: 12/27/2023] [Accepted: 01/11/2024] [Indexed: 01/28/2024]
Abstract
BACKGROUND Radiation therapy (RT) is essential in treating advanced lung cancer, but may lead to radiation pneumonitis (RP). This systematic review investigates the use of pulmonary function tests (PFT) and other parameters to predict and mitigate RP, thereby improving RT planning. METHODS A systematic review sifted through PubMed and on BioMed Central, targeting articles from September 2005 to December 2022 containing the keywords: Lung Cancer, Radiotherapy, and pulmonary function test. RESULTS From 1153 articles, 80 were included. RP was assessed using CTCAEv.4 in 30 % of these. Six studies evaluated post-RT quality of life in lung cancer patients, reporting no decline. Patients with RP and chronic obstructive pulmonary disease (COPD) generally exhibited poorer overall survival. Notably, forced expiratory volume in one second (FEV1) and diffusing capacity of the lung for carbon monoxide (DLCO) declined 24 months post-RT, while forced vital capacity (FVC) stayed stable. In the majority of studies, age over 60, tumors located in the lower part of the lung, and low FEV1 before RT were associated with a higher risk of RP. Dosimetric factors (V5, V20, MLD) and metabolic imaging emerged as significant predictors of RP risk. A clinical checklist blending patient and tumor characteristics, PFT results, and dosimetric criteria was proposed for assessing RP risk before RT. CONCLUSION The review reveals the multifactorial nature of RP development following RT in lung cancer. This approach should guide individualized management and calls for a prospective study to validate these findings and enhance RP prevention strategies.
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Affiliation(s)
- Rayan Bensenane
- Institut Curie, PSL Research University, Radiation Oncology Department, Paris/Saint-Cloud/Orsay, France
| | - Sylvie Helfre
- Institut Curie, PSL Research University, Radiation Oncology Department, Paris/Saint-Cloud/Orsay, France
| | - Kim Cao
- Institut Curie, PSL Research University, Radiation Oncology Department, Paris/Saint-Cloud/Orsay, France
| | | | | | - Nicolas Girard
- Institut Curie, Department of Thoracic Oncology, Paris, France
| | | | - Thibaut Vieira
- Institut Mutualist Montsouris, Department of Pneumology, Paris, France
| | - Waisse Waissi
- Centre Léon Bérard, Department of Radiation Oncology, Lyon, France
| | - Gilles Crehange
- Institut Curie, PSL Research University, Radiation Oncology Department, Paris/Saint-Cloud/Orsay, France
| | - Arnaud Beddok
- Institut Curie, PSL Research University, Radiation Oncology Department, Paris/Saint-Cloud/Orsay, France; Institut Curie, PSL Research University, University Paris Saclay, Inserm LITO, 91898 Orsay, France.
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Fang H, Dong T, Li S, Zhang Y, Han Z, Liu M, Dong W, Hong Z, Fu M, Zhang H. A Bibliometric Analysis of Comorbidity of COPD and Lung Cancer: Research Status and Future Directions. Int J Chron Obstruct Pulmon Dis 2023; 18:3049-3065. [PMID: 38149238 PMCID: PMC10750778 DOI: 10.2147/copd.s425735] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2023] [Accepted: 12/15/2023] [Indexed: 12/28/2023] Open
Abstract
Objective Although studies on the association between COPD and lung cancer are of great significance, no bibliometric analysis has been conducted in the field of their comorbidity. This bibliometric analysis explores the current situation and frontier trends in the field of COPD and lung cancer comorbidity, and to lay a new direction for subsequent research. Methods Articles in the field of COPD and cancer comorbidity were retrieved from Web of Science Core Collections (WoSCC) from 2004 to 2023, and analyzed by VOSviewer, CiteSpace, Biblimatrix and WPS Office. Results In total, 3330 publications were included. The USA was the leading country with the most publications and great influence. The University of Groningen was the most productive institution. Edwin Kepner Silverman was the most influential scholar in this field. PLOS One was found to be the most prolific journal. Mechanisms and risk factors were of vital importance in this research field. Environmental pollution and pulmonary fibrosis may be future research prospects. Conclusion This bibliometric analysis provided new guidance for the development of the field of COPD and lung cancer comorbidity by visualizing current research hotspots, and predicting possible hot research directions in the future.
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Affiliation(s)
- Hanyu Fang
- Graduate School, Beijing University of Chinese Medicine, Beijing, People’s Republic of China, 100029
- Department of Traditional Chinese Medicine for Pulmonary Diseases, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, 100029, People’s Republic of China
| | - Tairan Dong
- Graduate School, Beijing University of Chinese Medicine, Beijing, People’s Republic of China, 100029
| | - Shanlin Li
- Graduate School, Beijing University of Chinese Medicine, Beijing, People’s Republic of China, 100029
| | - Yihan Zhang
- Graduate School, Beijing University of Chinese Medicine, Beijing, People’s Republic of China, 100029
| | - Zhuojun Han
- Graduate School, Beijing University of Chinese Medicine, Beijing, People’s Republic of China, 100029
| | - Mingfei Liu
- Graduate School, Beijing University of Chinese Medicine, Beijing, People’s Republic of China, 100029
- Department of Traditional Chinese Medicine for Pulmonary Diseases, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, 100029, People’s Republic of China
| | - Wenjun Dong
- Graduate School, Beijing University of Chinese Medicine, Beijing, People’s Republic of China, 100029
- Department of Traditional Chinese Medicine for Pulmonary Diseases, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, 100029, People’s Republic of China
| | - Zheng Hong
- Graduate School, Beijing University of Chinese Medicine, Beijing, People’s Republic of China, 100029
- Department of Traditional Chinese Medicine for Pulmonary Diseases, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, 100029, People’s Republic of China
| | - Min Fu
- Department of Infectious Diseases, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, 100029, People’s Republic of China
| | - Hongchun Zhang
- Graduate School, Beijing University of Chinese Medicine, Beijing, People’s Republic of China, 100029
- Department of Traditional Chinese Medicine for Pulmonary Diseases, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, 100029, People’s Republic of China
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Ghassemi N, Castillo R, Castillo E, Jones BL, Miften M, Kavanagh B, Werner-Wasik M, Miller R, Barta JA, Grills I, Leiby BE, Guerrero T, Rusthoven CG, Vinogradskiy Y. Evaluation of variables predicting PFT changes for lung cancer patients treated on a prospective 4DCT-ventilation functional avoidance clinical trial. Radiother Oncol 2023; 187:109821. [PMID: 37516361 PMCID: PMC10529225 DOI: 10.1016/j.radonc.2023.109821] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2023] [Revised: 06/09/2023] [Accepted: 07/18/2023] [Indexed: 07/31/2023]
Abstract
PURPOSE Functional avoidance radiotherapy uses functional imaging to reduce pulmonary toxicity by designing radiotherapy plans that reduce doses to functional regions of the lung. A phase-II, multi-center, prospective study of 4DCT-ventilation functional avoidance was completed. Pre and post-treatment pulmonary function tests (PFTs) were acquired and assessed pulmonary function change. This study aims to evaluate which clinical, dose and dose-function factors predict PFT changes for patients treated with 4DCT-ventilation functional avoidance radiotherapy. MATERIALS AND METHODS 56 patients with locally advanced lung cancer receiving radiotherapy were accrued. PFTs were obtained at baseline and three months following radiotherapy and included forced expiratory volume in 1-second (FEV1), forced vital capacity (FVC), and FEV1/FVC. The ability of patient, clinical, dose (lung and heart), and dose-function metrics (metrics that combine dose and 4DCT-ventilation-based function) to predict PFT changes were evaluated using univariate and multivariate linear regression. RESULTS Univariate analysis showed that only dose-function metrics and the presence of chronic obstructive pulmonary disease (COPD) were significant (p<0.05) in predicting FEV1 decline. Multivariate analysis identified a combination of clinical (immunotherapy status, presence of thoracic comorbidities, smoking status, and age), along with lung dose, heart dose, and dose-function metrics in predicting FEV1 and FEV1/FVC changes. CONCLUSION The current work evaluated factors predicting PFT changes for patients treated in a prospective functional avoidance radiotherapy study. The data revealed that lung dose- function metrics could predict PFT changes, validating the significance of reducing the dose to the functional lung to mitigate the decline in pulmonary function and providing guidance for future clinical trials.
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Affiliation(s)
- Nader Ghassemi
- Department of Radiation Oncology, Thomas Jefferson University, Philadelphia, PA, USA.
| | - Richard Castillo
- Department of Radiation Oncology, Emory University, Atlanta, GA, USA
| | | | - Bernard L Jones
- Department of Radiation Oncology, University of Colorado School of Medicine, Aurora, CO, USA
| | - Moyed Miften
- Department of Radiation Oncology, University of Colorado School of Medicine, Aurora, CO, USA
| | - Brian Kavanagh
- Department of Radiation Oncology, University of Colorado School of Medicine, Aurora, CO, USA
| | - Maria Werner-Wasik
- Department of Radiation Oncology, Thomas Jefferson University, Philadelphia, PA, USA
| | - Ryan Miller
- Department of Radiation Oncology, Thomas Jefferson University, Philadelphia, PA, USA
| | - Julie A Barta
- Department of Radiation Oncology, Thomas Jefferson University, Philadelphia, PA, USA
| | - Inga Grills
- Department of Radiation Oncology, Beaumont Health System, Royal Oak, MI, USA
| | - Benjamin E Leiby
- Department of Radiation Oncology, Thomas Jefferson University, Philadelphia, PA, USA.
| | - Thomas Guerrero
- Department of Radiation Oncology, Beaumont Health System, Royal Oak, MI, USA
| | - Chad G Rusthoven
- Department of Radiation Oncology, University of Colorado School of Medicine, Aurora, CO, USA
| | - Yevgeniy Vinogradskiy
- Department of Radiation Oncology, Thomas Jefferson University, Philadelphia, PA, USA.
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Yamamoto T, Kabus S, Bal M, Keall PJ, Moran A, Wright C, Benedict SH, Holland D, Mahaffey N, Qi L, Daly ME. Four-Dimensional Computed Tomography Ventilation Image-Guided Lung Functional Avoidance Radiation Therapy: A Single-Arm Prospective Pilot Clinical Trial. Int J Radiat Oncol Biol Phys 2023; 115:1144-1154. [PMID: 36427643 DOI: 10.1016/j.ijrobp.2022.11.026] [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: 07/19/2022] [Revised: 10/28/2022] [Accepted: 11/09/2022] [Indexed: 11/25/2022]
Abstract
PURPOSE The primary objective of this prospective pilot trial was to assess the safety and feasibility of lung functional avoidance radiation therapy (RT) with 4-dimensional (4D) computed tomography (CT) ventilation imaging. METHODS AND MATERIALS Patients with primary lung cancer or metastatic disease to the lungs to receive conventionally fractionated RT (CFRT) or stereotactic body RT (SBRT) were eligible. Standard-of-care 4D-CT scans were used to generate ventilation images through image processing/analysis. Each patient required a standard intensity modulated RT plan and ventilation image guided functional avoidance plan. The primary endpoint was the safety of functional avoidance RT, defined as the rate of grade ≥3 adverse events (AEs) that occurred ≤12 months after treatment. Protocol treatment was considered safe if the rates of grade ≥3 pneumonitis and esophagitis were <13% and <21%, respectively for CFRT, and if the rate of any grade ≥3 AEs was <28% for SBRT. Feasibility of functional avoidance RT was assessed by comparison of dose metrics between the 2 plans using the Wilcoxon signed-rank test. RESULTS Between May 2015 and November 2019, 34 patients with non-small cell lung cancer were enrolled, and 33 patients were evaluable (n = 24 for CFRT; n = 9 for SBRT). Median follow-up was 14.7 months. For CFRT, the rates of grade ≥3 pneumonitis and esophagitis were 4.2% (95% confidence interval, 0.1%-21.1%) and 12.5% (2.7%-32.4%). For SBRT, no patients developed grade ≥3 AEs. Compared with the standard plans, the functional avoidance plans significantly (P < .01) reduced the lung dose-function metrics without compromising target coverage or adherence to standard organs at risk constraints. CONCLUSIONS This study, representing one of the first prospective investigations on lung functional avoidance RT, demonstrated that the 4D-CT ventilation image guided functional avoidance RT that significantly reduced dose to ventilated lung regions could be safely administered, adding to the growing body of evidence for its clinical utility.
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Affiliation(s)
- Tokihiro Yamamoto
- Department of Radiation Oncology, University of California Davis School of Medicine, Sacramento, California.
| | - Sven Kabus
- Department of Medical Image Processing & Analytics, Philips Research, Hamburg, Germany
| | | | - Paul J Keall
- ACRF Image X Institute, University of Sydney, Sydney, New South Wales, Australia
| | - Angel Moran
- Department of Radiation Oncology, University of California Davis School of Medicine, Sacramento, California
| | - Cari Wright
- Department of Radiation Oncology, University of California Davis School of Medicine, Sacramento, California
| | - Stanley H Benedict
- Department of Radiation Oncology, University of California Davis School of Medicine, Sacramento, California
| | - Devin Holland
- Office of Clinical Research, University of California Davis Comprehensive Cancer Center, Sacramento, California
| | - Nichole Mahaffey
- Office of Clinical Research, University of California Davis Comprehensive Cancer Center, Sacramento, California
| | - Lihong Qi
- Department of Public Health Sciences, University of California, Davis, California
| | - Megan E Daly
- Department of Radiation Oncology, University of California Davis School of Medicine, Sacramento, California
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Dong Y, Kumar H, Tawhai M, Veiga C, Szmul A, Landau D, McClelland J, Lao L, Burrowes KS. In Silico Ventilation Within the Dose-Volume is Predictive of Lung Function Post-radiation Therapy in Patients with Lung Cancer. Ann Biomed Eng 2020; 49:1416-1431. [PMID: 33258090 PMCID: PMC8058012 DOI: 10.1007/s10439-020-02697-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2020] [Accepted: 11/18/2020] [Indexed: 12/24/2022]
Abstract
Lung cancer is a leading cause of death worldwide. Radiation therapy (RT) is one method to treat this disease. A common side effect of RT for lung cancer is radiation-induced lung damage (RILD) which leads to loss of lung function. RILD often compounds pre-existing smoking-related regional lung function impairment. It is difficult to predict patient outcomes due to large variability in individual response to RT. In this study, the capability of image-based modelling of regional ventilation in lung cancer patients to predict lung function post-RT was investigated. Twenty-five patient-based models were created using CT images to define the airway geometry, size and location of tumour, and distribution of emphysema. Simulated ventilation within the 20 Gy isodose volume showed a statistically significant negative correlation with the change in forced expiratory volume in 1 s 12-months post-RT (p = 0.001, R = - 0.61). Patients with higher simulated ventilation within the 20 Gy isodose volume had a greater loss in lung function post-RT and vice versa. This relationship was only evident with the combined impact of tumour and emphysema, with the location of the emphysema relative to the dose-volume being important. Our results suggest that model-based ventilation measures can be used in the prediction of patient lung function post-RT.
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Affiliation(s)
- Yu Dong
- Department of Chemical and Materials Engineering, University of Auckland, Auckland, New Zealand
| | - H Kumar
- Auckland Bioengineering Institute, Level 6, 70 Symonds Street, Auckland, 1010, New Zealand
| | - M Tawhai
- Auckland Bioengineering Institute, Level 6, 70 Symonds Street, Auckland, 1010, New Zealand
| | - C Veiga
- Centre for Medical Image Computing, Department of Medical Physics & Biomedical Engineering, University College London, London, UK
| | - A Szmul
- Centre for Medical Image Computing, Department of Medical Physics & Biomedical Engineering, University College London, London, UK
| | - D Landau
- Department of Oncology, University College London Hospital, London, UK
| | - J McClelland
- Centre for Medical Image Computing, Department of Medical Physics & Biomedical Engineering, University College London, London, UK
| | - L Lao
- Auckland District Health Board, Auckland, New Zealand
| | - K S Burrowes
- Department of Chemical and Materials Engineering, University of Auckland, Auckland, New Zealand. .,Auckland Bioengineering Institute, Level 6, 70 Symonds Street, Auckland, 1010, New Zealand.
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Functional lung imaging in radiation therapy for lung cancer: A systematic review and meta-analysis. Radiother Oncol 2018; 129:196-208. [PMID: 30082143 DOI: 10.1016/j.radonc.2018.07.014] [Citation(s) in RCA: 47] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2018] [Revised: 06/14/2018] [Accepted: 07/18/2018] [Indexed: 12/25/2022]
Abstract
RATIONALE Advanced imaging techniques allow functional information to be derived and integrated into treatment planning. METHODS A systematic review was conducted with the primary objective to evaluate the ability of functional lung imaging to predict risk of radiation pneumonitis. Secondary objectives were to evaluate dose-response relationships on post treatment functional imaging and assess the utility in including functional lung information into treatment planning. A structured search for publications was performed following PRISMA guidelines and registered on PROSPERO. RESULTS 814 articles were screened against review criteria and 114 publications met criteria. Methods of identifying functional lung included using CT, MRI, SPECT and PET to image ventilation or perfusion. Six studies compared differences between functional and anatomical lung imaging at predicting radiation pneumonitis. These found higher predictive values using functional lung imaging. Twenty-one studies identified a dose-response relationship on post-treatment functional lung imaging. Nineteen planning studies demonstrated the ability of functional lung optimised planning techniques to spare regions of functional lung. Meta-analysis of these studies found that mean (95% CI) functional volume receiving 20 Gy was reduced by 4.2% [95% CI: 2.3: 6.0] and mean lung dose by 2.2 Gy [95% CI: 1.2: 3.3] when plans were optimised to spare functional lung. There was significant variation between publications in the definition of functional lung. CONCLUSION Functional lung imaging may have potential utility in radiation therapy planning and delivery, although significant heterogeneity was identified in approaches and reporting. Recommendations have been made based on the available evidence for future functional lung trials.
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