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Hata A, Yanagawa M, Miyata T, Hiraoka Y, Shirae M, Ninomiya K, Doi S, Yamagata K, Yoshida Y, Kikuchi N, Ogawa R, Hatabu H, Tomiyama N. Association between interstitial lung abnormality and mortality in patients with esophageal cancer. Jpn J Radiol 2024:10.1007/s11604-024-01563-x. [PMID: 38658500 DOI: 10.1007/s11604-024-01563-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2024] [Accepted: 03/18/2024] [Indexed: 04/26/2024]
Abstract
PURPOSE To investigate the relationship between interstitial lung abnormalities (ILAs) and mortality in patients with esophageal cancer and the cause of mortality. MATERIALS AND METHODS This retrospective study investigated patients with esophageal cancer from January 2011 to December 2015. ILAs were visually scored on baseline CT using a 3-point scale (0 = non-ILA, 1 = indeterminate for ILA, and 2 = ILA). ILAs were classified into subcategories of non-subpleural, subpleural non-fibrotic, and subpleural fibrotic. Five-year overall survival (OS) was compared between patients with and without ILAs using the multivariable Cox proportional hazards model. Subgroup analyses were performed based on cancer stage and ILA subcategories. The prevalences of treatment complications and death due to esophageal cancer and pneumonia/respiratory failure were analyzed using Fisher's exact test. RESULTS A total of 478 patients with esophageal cancer (age, 66.8 years ± 8.6 [standard deviation]; 64 women) were evaluated in this study. Among them, 267 patients showed no ILAs, 125 patients were indeterminate for ILAs, and 86 patients showed ILAs. ILAs were a significant factor for shorter OS (hazard ratio [HR] = 1.68, 95% confidence interval [CI] 1.10-2.55, P = 0.016) in the multivariable Cox proportional hazards model adjusting for age, sex, smoking history, clinical stage, and histology. On subgroup analysis using patients with clinical stage IVB, the presence of ILAs was a significant factor (HR = 3.78, 95% CI 1.67-8.54, P = 0.001). Subpleural fibrotic ILAs were significantly associated with shorter OS (HR = 2.22, 95% CI 1.25-3.93, P = 0.006). There was no significant difference in treatment complications. Patients with ILAs showed a higher prevalence of death due to pneumonia/respiratory failure than those without ILAs (non-ILA, 2/95 [2%]; ILA, 5/39 [13%]; P = 0.022). The prevalence of death due to esophageal cancer was similar in patients with and without ILA (non-ILA, 82/95 [86%]; ILA 32/39 [82%]; P = 0.596). CONCLUSION ILAs were significantly associated with shorter survival in patients with esophageal cancer.
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Affiliation(s)
- Akinori Hata
- Department of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka University, 2-2 Yamadaoka, Suita, Osaka, 5650871, Japan.
| | - Masahiro Yanagawa
- Department of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka University, 2-2 Yamadaoka, Suita, Osaka, 5650871, Japan
| | - Tomo Miyata
- Department of Radiology, Sakai City Medical Center, 1-1-1 Ebaraji-cho, Nishi-ku, Sakai, Osaka, 5938304, Japan
| | - Yu Hiraoka
- Department of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka University, 2-2 Yamadaoka, Suita, Osaka, 5650871, Japan
| | - Motohiro Shirae
- Department of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka University, 2-2 Yamadaoka, Suita, Osaka, 5650871, Japan
| | - Keisuke Ninomiya
- Department of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka University, 2-2 Yamadaoka, Suita, Osaka, 5650871, Japan
| | - Shuhei Doi
- Department of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka University, 2-2 Yamadaoka, Suita, Osaka, 5650871, Japan
| | - Kazuki Yamagata
- Department of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka University, 2-2 Yamadaoka, Suita, Osaka, 5650871, Japan
| | - Yuriko Yoshida
- Department of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka University, 2-2 Yamadaoka, Suita, Osaka, 5650871, Japan
| | - Noriko Kikuchi
- Department of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka University, 2-2 Yamadaoka, Suita, Osaka, 5650871, Japan
| | - Ryo Ogawa
- Future Diagnostic Radiology, Graduate School of Medicine, Osaka University, 2-2 Yamadaoka, Suita, Osaka, 5650871, Japan
| | - Hiroto Hatabu
- Center for Pulmonary Functional Imaging, Department of Radiology, Brigham and Women's Hospital and Harvard Medical School, 75 Francis Street, Boston, MA, 02115, USA
| | - Noriyuki Tomiyama
- Department of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka University, 2-2 Yamadaoka, Suita, Osaka, 5650871, Japan
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Yang T, Wang L, Zhong S, Peng L, Li N, Gui Y, Deng Q, Wang Y, Yuan Q, Li X. Prediction of radiation pneumonia after radiotherapy for esophageal cancer using a unified fractional dosiomics combined model. Br J Radiol 2023; 96:20230495. [PMID: 37750834 PMCID: PMC10646633 DOI: 10.1259/bjr.20230495] [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: 05/30/2023] [Revised: 08/31/2023] [Accepted: 09/01/2023] [Indexed: 09/27/2023] Open
Abstract
OBJECTIVE This study aimed to construct an optimal model to predict radiation pneumonia (RP) after radiotherapy for esophageal cancer using unified fractional dosiomics and to investigate the improvements in the prediction efficiency of each model for RP. METHODS The clinical data, DVH, pre-treatment CT, and dose distribution of 182 patients were retrospectively analyzed.The independent risk factors were screened using univariate and multivariate logistic regression. The mutual information (MI),least absolute shrinkage and selection operator (LASSO), and recursive feature elimination (RFE) methods were used to screen the omics features. The AUC values of ROC, calibration curves, and clinical decision curves were calculated to evaluate the efficacy and trends of each model. RESULTS The AUC of dosiomics model were 0.783 and 0.760 in the training and test cohorts, higher than 0.585 and 0.579 in the training and test cohorts of the DVH model. The AUC value of the R + D combination was the highest, reaching 0.833. The combined R + D model had a better calibration degree than the other models (mean absolute error = 0.018) and better net benefit in clinical decision-making. CONCLUSIONS The radiomics combined dosiomics model was the best combined model to predict RP after radiotherapy for esophageal cancer. The dosiomics model could cover the efficiency of the DVH model and significantly improve the efficiency of the combined model.In the future, we will include other centers for further verification. ADVANCES IN KNOWLEDGE For the first time, this study used CT images combined dose distribution to predict the occurrence of radiation pneumonitis after radiotherapy for esophageal cancer.
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Affiliation(s)
- Tianyue Yang
- Department of Radiation Oncology, Affiliated Hospital of North Sichuan Medical College, Shunqing District, Sichuan, China
| | - Liu Wang
- Department of Radiation Oncology, Affiliated Hospital of North Sichuan Medical College, Shunqing District, Sichuan, China
| | - Shuting Zhong
- Department of Medical Imaging, Affiliated Hospital of North Sichuan Medical College, Shunqing District, Sichuan, China
| | - Lei Peng
- Department of Radiation Oncology, Affiliated Hospital of North Sichuan Medical College, Shunqing District, Sichuan, China
| | - Ningfu Li
- Department of Radiation Oncology, Affiliated Hospital of North Sichuan Medical College, Shunqing District, Sichuan, China
| | - Yan Gui
- Department of Radiation Oncology, Affiliated Hospital of North Sichuan Medical College, Shunqing District, Sichuan, China
| | - Qiao Deng
- Department of Radiation Oncology, Affiliated Hospital of North Sichuan Medical College, Shunqing District, Sichuan, China
| | - Yujia Wang
- Department of Radiation Oncology, Affiliated Hospital of North Sichuan Medical College, Shunqing District, Sichuan, China
| | - Qiang Yuan
- Department of Radiation Oncology, Affiliated Hospital of North Sichuan Medical College, Shunqing District, Sichuan, China
| | - Xianfu Li
- Department of Radiation Oncology, Affiliated Hospital of North Sichuan Medical College, Shunqing District, Sichuan, China
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Escalon JG, Podolanczuk AJ, Aronson KI, Legasto AC, Gruden JF, Lynch DA, Rachid L, Rabkova Y, Steinberger S. Practice patterns in reporting interstitial lung abnormality at a tertiary academic medical center. Clin Imaging 2023; 104:109996. [PMID: 37862912 DOI: 10.1016/j.clinimag.2023.109996] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2023] [Revised: 09/07/2023] [Accepted: 10/06/2023] [Indexed: 10/22/2023]
Abstract
PURPOSE Interstitial lung abnormality (ILA) is a common finding on chest CTs and is associated with higher all-cause mortality. The 2020 Fleischner Society position paper standardized the terminology and definition of ILA. Despite these published guidelines, the extent to which radiologists use this term is unknown. We evaluated practice patterns for identification of ILAs among radiologists at a tertiary academic medical center. METHODS In this retrospective review, we identified 157 radiology reports between January 1, 2010 through December 31, 2021 containing the phrase "interstitial lung abnormality" or "interstitial abnormality". After exclusions, 125 CT scans were reviewed by thoracic-trained radiologists using the sequential reading method. RESULTS Seventy-seven (62%) patients were found to have ILA (69% subpleural fibrotic, 19% subpleural non-fibrotic, and 6% non-subpleural), nine (7%) were equivocal for ILA and 39 (31%) had no ILA. The term ILA was used exclusively by thoracic-trained radiologists except for two cases. Use of the term ILA has rapidly increased since the position paper publication (none from 2010-2017, one case in 2018, 20 cases in 2019, 41 cases in 2020, and 73 cases in 2021), and cases were typically very mild (1-25% of the lung). CONCLUSION While there has been increased use of the term ILA among thoracic-trained radiologists, non-thoracic radiologists have essentially not begun to use the term. Almost one-third of cases labeled ILA on clinical reads were re-classified as not having ILA on research reads.
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Affiliation(s)
- Joanna G Escalon
- Department of Radiology, Weill Cornell Medical College, New York, NY, USA.
| | - Anna J Podolanczuk
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA.
| | - Kerri I Aronson
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA.
| | - Alan C Legasto
- Department of Radiology, Weill Cornell Medical College, New York, NY, USA.
| | - James F Gruden
- Department of Radiology, University of North Carolina, Chapel Hill, NC, USA.
| | - David A Lynch
- Department of Radiology, National Jewish Health, Denver, CO, USA.
| | - Leena Rachid
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA
| | - Yana Rabkova
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA.
| | - Sharon Steinberger
- Department of Radiology, Weill Cornell Medical College, New York, NY, USA.
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Ahn Y, Lee SM, Choi S, Lee JS, Choe J, Do KH, Seo JB. Automated CT quantification of interstitial lung abnormality and interstitial lung disease according to the Fleischner Society in patients with resectable lung cancer: prognostic significance. Eur Radiol 2023; 33:8251-8262. [PMID: 37266656 DOI: 10.1007/s00330-023-09783-x] [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: 10/26/2022] [Revised: 04/12/2023] [Accepted: 04/15/2023] [Indexed: 06/03/2023]
Abstract
OBJECTIVE To assess the prognostic significance of automatically quantified interstitial lung abnormality (ILA) according to the definition by the Fleischner Society in patients with resectable non-small-cell lung cancer (NSCLC). METHODS Patients who underwent lobectomy or pneumonectomy for NSCLC between January 2015 and December 2019 were retrospectively included. Preoperative CT scans were analyzed using the commercially available deep-learning-based automated quantification software for ILA. According to quantified results and the definition by the Fleischner Society and multidisciplinary discussion, patients were divided into normal, ILA, and interstitial lung disease (ILD) groups. RESULTS Of the 1524 patients, 87 (5.7%) and 20 (1.3%) patients had ILA and ILD, respectively. Both ILA (HR, 1.81; 95% CI: 1.25-2.61; p = .002) and ILD (HR, 5.26; 95% CI: 2.99-9.24; p < .001) groups had poor recurrence-free survival (RFS). Overall survival (OS) decreased (HR 2.13 [95% CI: 1.27-3.58; p = .004] for the ILA group and 7.20 [95% CI: 3.80-13.62, p < .001] for the ILD group) as the disease severity increased. Both quantified fibrotic and non-fibrotic ILA components were associated with poor RFS (HR, 1.57; 95% CI: 1.12-2.21; p = .009; and HR, 1.11; 95% CI: 1.01-1.23; p = .03) and OS (HR, 1.59; 95% CI: 1.06-2.37; p = .02; and HR, 1.17; 95% CI: 1.03-1.33; and p = .01) in normal and ILA groups. CONCLUSIONS The automated CT quantification of ILA based on the definition by the Fleischner Society predicts outcomes of patients with resectable lung cancer based on the disease category and quantified fibrotic and non-fibrotic ILA components. CLINICAL RELEVANCE STATEMENT Quantitative CT assessment of ILA provides prognostic information for lung cancer patients after surgery, which can help in considering active surveillance for recurrence, especially in those with a larger extent of quantified ILA. KEY POINTS • Of the 1524 patients with resectable lung cancer, 1417 (93.0%) patients were categorized as normal, 87 (5.7%) as interstitial lung abnormality (ILA), and 20 (1.3%) as interstitial lung disease (ILD). • Both ILA and ILD groups were associated with poor recurrence-free survival (hazard ratio [HR], 1.81, p = .002; HR, 5.26, p < .001, respectively) and overall survival (HR, 2.13; p = .004; HR, 7.20; p < .001). • Both quantified fibrotic and non-fibrotic ILA components were associated with recurrence-free survival and overall survival in normal and ILA groups.
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Affiliation(s)
- Yura Ahn
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 88 Olympic-Ro 43-Gil, Songpa-Gu, Seoul, 138-736, Republic of Korea
| | - Sang Min Lee
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 88 Olympic-Ro 43-Gil, Songpa-Gu, Seoul, 138-736, Republic of Korea.
| | - Sehoon Choi
- Department of Cardiothoracic Surgery, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea
| | - Ji Sung Lee
- Department of Clinical Epidemiology and Biostatistics, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea
| | - Jooae Choe
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 88 Olympic-Ro 43-Gil, Songpa-Gu, Seoul, 138-736, Republic of Korea
| | - Kyung-Hyun Do
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 88 Olympic-Ro 43-Gil, Songpa-Gu, Seoul, 138-736, Republic of Korea
| | - Joon Beom Seo
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 88 Olympic-Ro 43-Gil, Songpa-Gu, Seoul, 138-736, Republic of Korea
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Vuković D, Budimir Mršić D, Jerković K, Benzon B, Tadić T. Pre-Existing Interstitial Lung Abnormalities in Patients with Head and Neck Squamous Cell Carcinoma and Their Follow Up after Therapy. Diagnostics (Basel) 2023; 13:2908. [PMID: 37761274 PMCID: PMC10529031 DOI: 10.3390/diagnostics13182908] [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: 06/27/2023] [Revised: 08/03/2023] [Accepted: 09/08/2023] [Indexed: 09/29/2023] Open
Abstract
Interstitial lung abnormalities (ILAs) are incidentally found nondependent parenchymal abnormalities affecting more than 5% of any lung zone and are potentially related to interstitial lung disease and worsening post-treatment outcomes in malignancies and infectious diseases. The aim of this study was to determine the prevalence and type of ILA changes in patients with head and neck squamous cell carcinoma (HNSCC) and their change in the follow-up period. This retrospective single-center study included 113 patients with newly diagnosed HNSCC who underwent lung MSCT prior to treatment. ILAs were reported in 13.3% of patients on pretreatment MSCT. Patients with ILAs were significantly older (median 75 vs. 67 years). ILAs were most prevalent in lower zones (73.3%) (p = 0.0045). The most reported ILA subtype was subpleural non-fibrotic (60%) (p = 0.0354). Reticulations were the most frequently described pattern (93.3%) (p < 0.0001). Progression of ILAs was reported in almost 30% of patients after receiving therapy. Patients with pre-existing ILAs were more likely to develop radiation-induced lung fibrosis after adjuvant radiotherapy (p = 0.0464). In conclusion, ILA's incidence, distribution and presentation were similar to previous research conducted in other special cohorts. Our research suggests a possible association of more frequent radiation pneumonitis with ILA changes in patients with HNSCC, which should be further investigated.
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Affiliation(s)
- Danica Vuković
- Clinical Department of Diagnostic and Interventional Radiology, University Hospital Split, Šoltanska 2, 21000 Split, Croatia; (D.V.); (D.B.M.); (T.T.)
| | - Danijela Budimir Mršić
- Clinical Department of Diagnostic and Interventional Radiology, University Hospital Split, Šoltanska 2, 21000 Split, Croatia; (D.V.); (D.B.M.); (T.T.)
- School of Medicine, University of Split, Šoltanska 2, 21000 Split, Croatia;
- University Department of Health Studies, University of Split, Ruđera Boškovića 35, 21000 Split, Croatia
| | - Kristian Jerković
- Clinical Department of Diagnostic and Interventional Radiology, University Hospital Split, Šoltanska 2, 21000 Split, Croatia; (D.V.); (D.B.M.); (T.T.)
| | - Benjamin Benzon
- School of Medicine, University of Split, Šoltanska 2, 21000 Split, Croatia;
| | - Tade Tadić
- Clinical Department of Diagnostic and Interventional Radiology, University Hospital Split, Šoltanska 2, 21000 Split, Croatia; (D.V.); (D.B.M.); (T.T.)
- School of Medicine, University of Split, Šoltanska 2, 21000 Split, Croatia;
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Raoof S, Shah M, Make B, Allaqaband H, Bowler R, Fernando S, Greenberg H, Han MK, Hogg J, Humphries S, Lee KS, Lynch D, Machnicki S, Mehta A, Mina B, Naidich D, Naidich J, Naqvi Z, Ohno Y, Regan E, Travis WD, Washko G, Braman S. Lung Imaging in COPD Part 1: Clinical Usefulness. Chest 2023; 164:69-84. [PMID: 36907372 PMCID: PMC10403625 DOI: 10.1016/j.chest.2023.03.007] [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: 09/25/2022] [Revised: 01/23/2023] [Accepted: 03/04/2023] [Indexed: 03/13/2023] Open
Abstract
COPD is a condition characterized by chronic airflow obstruction resulting from chronic bronchitis, emphysema, or both. The clinical picture is usually progressive with respiratory symptoms such as exertional dyspnea and chronic cough. For many years, spirometry was used to establish a diagnosis of COPD. Recent advancements in imaging techniques allow quantitative and qualitative analysis of the lung parenchyma as well as related airways and vascular and extrapulmonary manifestations of COPD. These imaging methods may allow prognostication of disease and shed light on the efficacy of pharmacologic and nonpharmacologic interventions. This is the first of a two-part series of articles on the usefulness of imaging methods in COPD, and it highlights useful information that clinicians can obtain from these imaging studies to make more accurate diagnosis and therapeutic decisions.
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Affiliation(s)
- Suhail Raoof
- Northwell Health, Lenox Hill Hospital, New York, NY.
| | - Manav Shah
- Northwell Health, Lenox Hill Hospital, New York, NY
| | | | | | | | | | | | | | - James Hogg
- University of British Columbia, Vancouver, BC, Canada
| | | | - Kyung Soo Lee
- Sungkyunkwan University School of Medicine, Samsung ChangWon Hospital, ChangWon, South Korea
| | | | | | | | - Bushra Mina
- Northwell Health, Lenox Hill Hospital, New York, NY
| | | | | | - Zarnab Naqvi
- Northwell Health, Lenox Hill Hospital, New York, NY
| | | | | | | | | | - Sidney Braman
- Icahn School of Medicine at Mount Sinai, New York, NY
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Wong A, Riley M, Zhao S, Wang JG, Esguerra V, Li M, Lopez G, Otterson GA, Kendra K, Presley CJ, Wei L, Owen DH, Ho K. Association between pre-treatment chest imaging and pulmonary function abnormalities and immune checkpoint inhibitor pneumonitis. Cancer Immunol Immunother 2023; 72:1727-1735. [PMID: 36640189 PMCID: PMC10992955 DOI: 10.1007/s00262-023-03373-y] [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: 05/04/2022] [Accepted: 01/08/2023] [Indexed: 01/15/2023]
Abstract
BACKGROUND Immune checkpoint inhibitors (ICIs) are a first-line treatment for various metastatic solid tumors. Pneumonitis is a potentially devastating complication of ICI treatment and a leading cause of ICI-related mortality. Here, we evaluate whether abnormal pre-treatment pulmonary function tests (PFTs) or interstitial abnormalities on computed tomography of the chest (CT chest) prior to ICI are associated with the development of ICI-pneumonitis (ICI-p). METHODS We conducted a retrospective cohort study of consecutive patients who received at least one dose of ICI from 2011 to 2017 at The Ohio State University. Potential risk factors for ICI-p, including abnormal PFTs and CT chest, were recorded. These risk factors were compared between patients with and without pneumonitis. RESULTS In total, 1097 patients were included, 46 with ICI-p and 1051 without. Ninety percent of patients had pre-treatment chest imaging, while only 10% had pre-treatment PFTs. On multivariable analysis, interstitial abnormalities and reduced total lung capacity (TLC) were significantly associated with development of ICI-p (hazard ratio of 42.42 [95% CI; 15.04-119.67] and hazard ratio of 4.04 [95% CI; 1.32-12.37]), respectively. No other PFT abnormality was associated with increased risk of ICI-p. There was no significant difference in overall survival in patients who did or did not develop ICI-p (p = 0.332). CONCLUSIONS Pre-existing interstitial abnormalities on CT chest and reduced TLC were strongly associated with developing ICI-p. Prospective studies are warranted to further explore the role of PFTs as a potential tool for identifying patients at highest risk for developing ICI-p.
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Affiliation(s)
- Alex Wong
- Department of Internal Medicine, The Ohio State University Wexner Medical Center, Columbus, OH, USA
| | - Maria Riley
- Department of Internal Medicine, The Ohio State University Wexner Medical Center, Columbus, OH, USA
| | - Songzhu Zhao
- Center for Biostatistics, The Ohio State University - James Comprehensive Cancer Center, Columbus, OH, USA
| | - Jing Gennie Wang
- Division of Pulmonary, Critical Care and Sleep Medicine, The Ohio State University Wexner Medical Center, 241 W 11th Ave, Suite 5000, Columbus, OH, 43201, USA
| | - Vince Esguerra
- Division of Pulmonary, Critical Care and Sleep Medicine, The Ohio State University Wexner Medical Center, 241 W 11th Ave, Suite 5000, Columbus, OH, 43201, USA
| | - Mingjia Li
- Division of Medical Oncology, Department of Internal Medicine, The Ohio State University - James Comprehensive Cancer Center, Columbus, OH, USA
| | - Gabrielle Lopez
- Division of Medical Oncology, Department of Internal Medicine, The Ohio State University - James Comprehensive Cancer Center, Columbus, OH, USA
| | - Gregory A Otterson
- Division of Medical Oncology, Department of Internal Medicine, The Ohio State University - James Comprehensive Cancer Center, Columbus, OH, USA
| | - Kari Kendra
- Division of Medical Oncology, Department of Internal Medicine, The Ohio State University - James Comprehensive Cancer Center, Columbus, OH, USA
| | - Carolyn J Presley
- Division of Medical Oncology, Department of Internal Medicine, The Ohio State University - James Comprehensive Cancer Center, Columbus, OH, USA
| | - Lai Wei
- Center for Biostatistics, The Ohio State University - James Comprehensive Cancer Center, Columbus, OH, USA
| | - Dwight H Owen
- Division of Pulmonary, Critical Care and Sleep Medicine, The Ohio State University Wexner Medical Center, 241 W 11th Ave, Suite 5000, Columbus, OH, 43201, USA
| | - Kevin Ho
- Division of Medical Oncology, Department of Internal Medicine, The Ohio State University - James Comprehensive Cancer Center, Columbus, OH, USA.
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Ito M, Katano T, Okada H, Sakuragi A, Minami Y, Abe S, Adachi S, Oshima Y, Ohashi W, Kubo A, Fukui T, Ito S, Suzuki K. Subpleural fibrotic interstitial lung abnormalities are implicated in non-small cell lung cancer radiotherapy outcomes. Radiol Oncol 2023:raon-2023-0018. [PMID: 37078697 DOI: 10.2478/raon-2023-0018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2023] [Accepted: 04/02/2023] [Indexed: 04/21/2023] Open
Abstract
BACKGROUND The relationship between interstitial lung abnormalities (ILAs) and the outcomes of lung cancer radiotherapy is unclear. This study investigated whether specific ILA subtypes are risk factors for radiation pneumonitis (RP). PATIENTS AND METHODS This retrospective study analysed patients with non-small cell lung cancer treated with radical-intent or salvage radiotherapy. Patients were categorised into normal (no abnormalities), ILA, and interstitial lung disease (ILD) groups. The ILA group was further subclassified into non-subpleural (NS), subpleural non-fibrotic (SNF), and subpleural fibrotic (SF) types. The Kaplan-Meier and Cox regression methods were used to determine RP and survival rates and compare these outcomes between groups, respectively. RESULTS Overall, 175 patients (normal, n = 105; ILA-NS, n = 5; ILA-SNF, n = 28; ILA-SF, n = 31; ILD, n = 6) were enrolled. Grade ≥2 RP was observed in 71 (41%) patients. ILAs (hazard ratio [HR]: 2.33, p = 0.008), intensity-modulated radiotherapy (HR: 0.38, p = 0.03), and lung volume receiving 20 Gy (HR: 54.8, p = 0.03) contributed to the cumulative incidence of RP. Eight patients with grade 5 RP were in the ILA group, seven of whom had ILA-SF. Among radically treated patients, the ILA group had worse 2-year overall survival (OS) than the normal group (35.3% vs 54.6%, p = 0.005). Multivariate analysis revealed that the ILA-SF group contributed to poor OS (HR: 3.07, p =0.02). CONCLUSIONS ILAs, particularly ILA-SF, may be important risk factors for RP, which can worsen prognosis. These findings may aid in making decisions regarding radiotherapy.
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Affiliation(s)
- Makoto Ito
- Department of Radiology, Aichi Medical University, Aichi, Japan
| | - Takuma Katano
- Department of Respiratory Medicine and Allergology, Aichi Medical University, Aichi, Japan
| | - Hiroaki Okada
- Department of Radiology, Aichi Medical University, Aichi, Japan
| | - Ami Sakuragi
- Department of Central Radiology, Aichi Medical University, Aichi, Japan
| | - Yoshitaka Minami
- Department of Central Radiology, Aichi Medical University, Aichi, Japan
| | - Souichiro Abe
- Department of Radiology, Aichi Medical University, Aichi, Japan
| | - Sou Adachi
- Department of Radiology, Aichi Medical University, Aichi, Japan
| | - Yukihiko Oshima
- Department of Radiology, Aichi Medical University, Aichi, Japan
| | - Wataru Ohashi
- Department of Biostatistics, Clinical Research Center, Aichi Medical University, Aichi, Japan
| | - Akihito Kubo
- Department of Respiratory Medicine and Allergology, Aichi Medical University, Aichi, Japan
| | - Takayuki Fukui
- Division of Chest Surgery, Department of Surgery, Aichi Medical University, Aichi, Japan
| | - Satoru Ito
- Department of Respiratory Medicine and Allergology, Aichi Medical University, Aichi, Japan
| | - Kojiro Suzuki
- Department of Radiology, Aichi Medical University, Aichi, Japan
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Makita K, Hamamoto Y, Kanzaki H, Nagasaki K, Sugawara Y, Kozuki T. Impact of palliative radiotherapy with or without lung irradiation in patients with interstitial lung disease. Radiother Oncol 2023; 183:109636. [PMID: 36963439 DOI: 10.1016/j.radonc.2023.109636] [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: 02/04/2023] [Revised: 03/13/2023] [Accepted: 03/14/2023] [Indexed: 03/26/2023]
Abstract
BACKGROUND AND PURPOSE Acute exacerbations or acute lung injury, including radiation pneumonitis (AE-ALI/RP) of interstitial lung disease (ILD), has a fatal prognosis. We evaluated the risk of palliative-intent radiotherapy (RT), with or without lung irradiation, for AE-ALI/RP of ILD. MATERIALS AND METHODS The data of patients with ILD who received palliative-intent RT between January 2011 and January 2022 were retrospectively reviewed. Factors associated with AE-ALI/RP grade ≥3 were assessed using univariate and multivariate analyses. RESULTS One hundred and three patients were examined, with median imaging and survival follow-up times of 88 (2-1440) and 144 (8-1441) days. The median time to onset of AE-ALI/RP grade ≥3 was 72 (5-206) days. In multivariate analysis, a higher pulmonary fibrosis score (PFS ≥ 3) (hazard ratio, HR: 2.16; 95% confidence interval, CI: 1.36-3.43; p < 0.01) and lung irradiation (lung-RT) (HR: 3.82; 95% CI: 1.01-15.73; p = 0.04) were significant factors for AE-ALI/RP grade ≥3. In patients who received lung-RT, the 100-day survival rate and cumulative incidence of AE-ALI/RP grade ≥3 were 56.8% and 13.7%, respectively. In patients with PFS ≥3 and who underwent lung-RT, the 100-day cumulative incidence of AE-ALI/RP grade ≥3 was 37.5%; all patients with AE-ALI/RP grade ≥3 had grade 5. In patients with PFS ≥3 without lung-RT, the 100-day cumulative incidence of AE-ALI/RP grade ≥3 was 4.8%. CONCLUSION High PFS and lung-RT are significant risk factors for AE-ALI/RP grade ≥3. Even with relatively low doses, palliative-intent lung-RT carries an extremely high risk of AE-ALI/RP when PFS is high.
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Affiliation(s)
- Kenji Makita
- Department of Radiation Oncology, National Hospital Organization Shikoku Cancer Center, Kou-160, Minami-Umenomoto-Machi, Matsuyama, Ehime 791-0280, Japan; Department of Radiology, Ehime University Graduate School of Medicine, 454 Shitsukawa, Toon, Ehime 791-0295, Japan.
| | - Yasushi Hamamoto
- Department of Radiation Oncology, National Hospital Organization Shikoku Cancer Center, Kou-160, Minami-Umenomoto-Machi, Matsuyama, Ehime 791-0280, Japan
| | - Hiromitsu Kanzaki
- Department of Radiation Oncology, National Hospital Organization Shikoku Cancer Center, Kou-160, Minami-Umenomoto-Machi, Matsuyama, Ehime 791-0280, Japan
| | - Kei Nagasaki
- Department of Radiation Oncology, National Hospital Organization Shikoku Cancer Center, Kou-160, Minami-Umenomoto-Machi, Matsuyama, Ehime 791-0280, Japan
| | - Yoshifumi Sugawara
- Departments of Diagnostic Radiology, National Hospital Organization Shikoku Cancer Center, Kou-160, Minami-Umenomoto-Machi, Matsuyama, Ehime 791-0280, Japan
| | - Toshiyuki Kozuki
- Department of Thoracic Oncology and Medicine, National Hospital Organization Shikoku Cancer Center, Kou-160, Minami-Umenomoto-Machi, Matsuyama, Ehime 791-0280, Japan
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10
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Im Y, Chung MP, Lee KS, Han J, Chung MJ, Kim HK, Cho JH, Choi YS, Park S, Kim HJ, Kwon OJ, Park B, Yoo H. Impact of interstitial lung abnormalities on postoperative pulmonary complications and survival of lung cancer. Thorax 2023; 78:183-190. [PMID: 35688622 DOI: 10.1136/thoraxjnl-2021-218055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Accepted: 05/12/2022] [Indexed: 01/17/2023]
Abstract
BACKGROUND Interstitial lung abnormalities (ILAs) are associated with the risk of lung cancer and its mortality. However, the impact of ILA on treatment-related complications and survival in patients who underwent curative surgery is still unknown. RESEARCH QUESTION This study aimed to evaluate the significance of the presence of computed tomography-diagnosed ILA and histopathologically matched interstitial abnormalities on postoperative pulmonary complications (PPCs) and the long-term survival of patients who underwent surgical treatment for lung cancer. STUDY DESIGN AND METHODS A matched case-control study was designed to compare PPCs and mortality among 50 patients with ILA, 50 patients with idiopathic pulmonary fibrosis (IPF) and 200 controls. Cases and controls were matched by sex, age, smoking history, tumour location, the extent of surgery, tumour histology and pathological TNM stage. RESULTS Compared with the control group, the OR of the prevalence of PPCs increased to 9.56 (95% CI 2.85 to 32.1, p<0.001) in the ILA group and 56.50 (95% CI 17.92 to 178.1, p<0.001) in the IPF group. The 5-year overall survival (OS) rates of the control, ILA and IPF groups were 76% (95% CI 71% to 83%), 52% (95% CI 37% to 74%) and 32% (95% CI 19% to 53%), respectively (log-rank p<0.001). Patients with ILA had better 5-year OS than those with IPF (log-rank p=0.046) but had worse 5-year OS than those in the control group (log-rank p=0.002). CONCLUSIONS The presence of radiological and pathological features of ILA in patients with lung cancer undergoing curative surgery was associated with frequent complications and decreased survival.
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Affiliation(s)
- Yunjoo Im
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Man Pyo Chung
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Kyung Soo Lee
- Department of Radiology, Samsung Changwon Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Joungho Han
- Department of Pathology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Myung Jin Chung
- Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Hong Kwan Kim
- Department of Thoracic Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Jong Ho Cho
- Department of Thoracic Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Yong Soo Choi
- Department of Thoracic Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Sujin Park
- Department of Pathology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Ho Joong Kim
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - O Jung Kwon
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Boram Park
- Biomedical Statistics Center, Research Institute for Future Medicine, Samsung Medical Center, Seoul, Korea
| | - Hongseok Yoo
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
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11
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Rose JA, Hunninghake GM. Time to move out of the shadows: ILA in patients with lung cancer. Thorax 2023; 78:118-119. [PMID: 36270804 DOI: 10.1136/thorax-2022-219498] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/30/2022] [Indexed: 01/13/2023]
Affiliation(s)
- Jonathan A Rose
- Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Gary M Hunninghake
- Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
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12
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Kim BH, Chung JH, Son J, Kim S, Wu HG, Kim HJ. Analysis of Once-Daily Thoracic Radiotherapy Dose According to the Underlying Lung Disease in Patients with Limited-Stage Small Cell Lung Cancer Undergoing Concurrent Chemoradiotherapy. Cancer Res Treat 2023; 55:73-82. [PMID: 35287254 PMCID: PMC9873322 DOI: 10.4143/crt.2021.1202] [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: 11/11/2021] [Accepted: 03/09/2022] [Indexed: 02/04/2023] Open
Abstract
PURPOSE In the treatment of concurrent chemoradiotherapy (CCRT) in limited-stage small cell lung cancer, the optimal once-daily radiotherapy (RT) dose/fractionation remain unclear although it is the most frequently used. Therefore, this study aimed to compare the treatment outcomes and toxicities of modest dose RT (≤ 54 Gy) with those of standard dose RT (> 54 Gy) and investigate the benefit of the high dose based on patient factors. MATERIALS AND METHODS Since 2004, our institution has gradually increased the thoracic RT dose. Among the 225 patients who underwent CCRT, 84 patients (37.3%) received > 54 Gy. Because the patients treated with RT > 54 Gy were not randomly assigned, propensity score matching (PSM) was performed. RESULTS The proportion of patients treated with > 54 Gy increased over time (p=0.014). Multivariate analysis revealed that the overall tumor stage and dose > 54 Gy (hazard ratio, 0.65; p=0.029) were independent prognostic factors for overall survival (OS). PSM confirmed that thoracic RT doses of > 54 Gy showed significantly improved progression-free survival (3-year, 42.7% vs. 24.0%; p < 0.001) and OS (3-year, 56.2% vs. 38.5%; p=0.003). Sensitivity analysis also showed that 60 Gy resulted in better survival than 54 Gy. However, in patients with underlying lung disease, OS benefit from > 54 Gy was not observed but considerable rates of severe pulmonary toxicities were observed (p=0.001). CONCLUSION Our analysis supports that the 60 Gy RT dose should be considered in the once-daily regimen of CCRT for limited-stage small cell lung cancer without underlying lung disease, but RT dose > 54 Gy did not seem to benefit for patients with chronic obstructive pulmonary disease or interstitial lung disease. Further study is needed to validate these results.
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Affiliation(s)
- Byoung Hyuck Kim
- Department of Radiation Oncology, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul,
Korea,Department of Radiation Oncology, Seoul National University College of Medicine, Seoul,
Korea
| | - Joo-Hyun Chung
- Department of Radiation Oncology, Seoul National University Hospital, Seoul,
Korea
| | - Jaeman Son
- Department of Radiation Oncology, Seoul National University Hospital, Seoul,
Korea
| | - Suzy Kim
- Department of Radiation Oncology, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul,
Korea
| | - Hong-Gyun Wu
- Department of Radiation Oncology, Seoul National University College of Medicine, Seoul,
Korea,Department of Radiation Oncology, Seoul National University Hospital, Seoul,
Korea,Department of Institute of Radiation Medicine, Medical Research Center, Seoul National University, Seoul,
Korea,Cancer Research Institute, Seoul National University College of Medicine, Seoul,
Korea
| | - Hak Jae Kim
- Department of Radiation Oncology, Seoul National University College of Medicine, Seoul,
Korea,Department of Radiation Oncology, Seoul National University Hospital, Seoul,
Korea,Department of Institute of Radiation Medicine, Medical Research Center, Seoul National University, Seoul,
Korea,Cancer Research Institute, Seoul National University College of Medicine, Seoul,
Korea
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13
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Pre-Existing Interstitial Lung Abnormalities Are Independent Risk Factors for Interstitial Lung Disease during Durvalumab Treatment after Chemoradiotherapy in Patients with Locally Advanced Non-Small-Cell Lung Cancer. Cancers (Basel) 2022; 14:cancers14246236. [PMID: 36551721 PMCID: PMC9776853 DOI: 10.3390/cancers14246236] [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: 11/09/2022] [Revised: 12/14/2022] [Accepted: 12/15/2022] [Indexed: 12/24/2022] Open
Abstract
Introduction/Background: Chemoradiotherapy (CRT) followed by durvalumab, an immune checkpoint inhibitor, is the standard treatment for locally advanced non-small-cell lung cancer (NSCLC). Interstitial lung disease (ILD) is a life-threatening toxicity caused by these treatments; however, risk factors for the ILD have not yet been established. Interstitial lung abnormalities (ILAs) are computed tomography (CT) findings which manifest as minor interstitial shadows. We aimed to investigate whether ILAs could be risk factors for grade-two or higher ILD during durvalumab therapy. Patients and Methods: Patients with NSCLC who received durvalumab after CRT from July 2018 to June 2021 were retrospectively enrolled. We obtained patient characteristics, laboratory data, radiotherapeutic parameters, and chest CT findings before durvalumab therapy. Results: A total of 148 patients were enrolled. The prevalence of ILAs before durvalumab treatment was 37.8%. Among 148 patients, 63.5% developed ILD during durvalumab therapy. The proportion of patients with grade-two or higher ILD was 33.8%. The univariate logistic regression analysis revealed that older age, high dose-volume histogram parameters, and the presence of ILAs were significant risk factors for grade-two or higher ILD. The multivariate analysis showed that ILAs were independent risk factors for grade-two or higher ILD (odds ratio, 3.70; 95% confidence interval, 1.69−7.72; p < 0.001). Conclusions: We showed that pre-existing ILAs are risk factors for ILD during durvalumab treatment after CRT. We should pay attention to the development of grade-two or higher ILD during durvalumab treatment in patients with ILAs.
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14
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Is Thoracic Radiotherapy an Absolute Contraindication for Treatment of Lung Cancer Patients With Interstitial Lung Disease? A Systematic Review. Clin Oncol (R Coll Radiol) 2022; 34:e493-e504. [PMID: 35168842 DOI: 10.1016/j.clon.2022.01.043] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Revised: 01/10/2022] [Accepted: 01/28/2022] [Indexed: 01/31/2023]
Abstract
Thoracic radiotherapy decisions in patients with interstitial lung disease (ILD) are complex due to concerns about severe or even fatal radiation pneumonitis. This systematic review analysed the published evidence regarding the incidence of radiation pneumonitis and mortality after thoracic radiotherapy and investigated clinical and dosimetric predictors of radiation pneumonitis in lung cancer patients with ILD. A systematic search was carried out in PubMed, Medline, Embase and the Cochrane database for articles published between January 2000 and April 2021. Two authors independently screened eligible studies that met our predefined criteria. Studies were assessed for design and quality and a qualitative data synthesis was carried out. The search strategy resulted in 1750 articles. After two rounds of screening, 24 publications were included. The median overall incidence of grade ≥3 radiation pneumonitis was 19.7% (range 8-46%). The incidence was greater in conventional radical radiotherapy-treated patients (median 31.8%) compared with particle beam therapy- or stereotactic ablative radiotherapy-treated patients (median 12.5%). The median rate of grade 5 radiation pneumonitis was 11.9% (range 0-60%). The presence of ILD was an independent predictor of severe radiation pneumonitis. Severe radiation pneumonitis was more common in the presence of usual interstitial pneumonia (UIP) pattern or idiopathic pulmonary fibrosis (IPF) than non-UIP or non-IPF subtype. Several other clinical predictors were reported in the literature. V5, V10, V20 and mean lung dose were the most common dosimetric predictors for severe radiation pneumonitis, often with stricter dose constraints than conventionally used. Patients with lung cancer associated with ILD had a poorer overall survival compared with patients without ILD. In conclusion, patients with lung cancer associated with ILD have a poor prognosis. They are at high risk of severe and even fatal radiation pneumonitis. Careful patient selection is necessary, appropriate high-risk consenting and strict lung dose-volume constraints should be used, if these patients are to be treated with thoracic radiotherapy.
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15
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Chen NB, Xiong M, Zhou R, Zhou Y, Qiu B, Luo YF, Zhou S, Chu C, Li QW, Wang B, Jiang HH, Guo JY, Peng KQ, Xie CM, Liu H. CT radiomics-based long-term survival prediction for locally advanced non-small cell lung cancer patients treated with concurrent chemoradiotherapy using features from tumor and tumor organismal environment. Radiat Oncol 2022; 17:184. [PMID: 36384755 PMCID: PMC9667605 DOI: 10.1186/s13014-022-02136-w] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Accepted: 09/28/2022] [Indexed: 11/17/2022] Open
Abstract
Background Definitive concurrent chemoradiotherapy (CCRT) is the standard treatment for locally advanced non-small cell lung cancer (LANSCLC) patients, but the treatment response and survival outcomes varied among these patients. We aimed to identify pretreatment computed tomography-based radiomics features extracted from tumor and tumor organismal environment (TOE) for long-term survival prediction in these patients treated with CCRT. Methods A total of 298 eligible patients were randomly assigned into the training cohort and validation cohort with a ratio 2:1. An integrated feature selection and model training approach using support vector machine combined with genetic algorithm was performed to predict 3-year overall survival (OS). Patients were stratified into the high-risk and low-risk group based on the predicted survival status. Pulmonary function test and blood gas analysis indicators were associated with radiomic features. Dynamic changes of peripheral blood lymphocytes counts before and after CCRT had been documented. Results Nine features including 5 tumor-related features and 4 pulmonary features were selected in the predictive model. The areas under the receiver operating characteristic curve for the training and validation cohort were 0.965 and 0.869, and were reduced by 0.179 and 0.223 when all pulmonary features were excluded. Based on radiomics-derived stratification, the low-risk group yielded better 3-year OS (68.4% vs. 3.3%, p < 0.001) than the high-risk group. Patients in the low-risk group had better baseline FEV1/FVC% (96.3% vs. 85.9%, p = 0.046), less Grade ≥ 3 lymphopenia during CCRT (63.2% vs. 83.3%, p = 0.031), better recovery of lymphopenia from CCRT (71.4% vs. 27.8%, p < 0.001), lower incidence of Grade ≥ 2 radiation-induced pneumonitis (31.6% vs. 53.3%, p = 0.040), superior tumor remission (84.2% vs. 66.7%, p = 0.003). Conclusion Pretreatment radiomics features from tumor and TOE could boost the long-term survival forecast accuracy in LANSCLC patients, and the predictive results could be utilized as an effective indicator for survival risk stratification. Low-risk patients might benefit more from radical CCRT and further adjuvant immunotherapy. Trial registration: retrospectively registered. Supplementary Information The online version contains supplementary material available at 10.1186/s13014-022-02136-w.
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16
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Yang S, Huang S, Ye X, Xiong K, Zeng B, Shi Y. Risk analysis of grade ≥ 2 radiation pneumonitis based on radiotherapy timeline in stage III/IV non-small cell lung cancer treated with volumetric modulated arc therapy: a retrospective study. BMC Pulm Med 2022; 22:402. [PMID: 36344945 PMCID: PMC9639320 DOI: 10.1186/s12890-022-02211-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2022] [Accepted: 10/31/2022] [Indexed: 11/09/2022] Open
Abstract
Background Radiotherapy is an important treatment for patients with stage III/IV non-small cell lung cancer (NSCLC), and due to its high incidence of radiation pneumonitis, it is essential to identify high-risk people as early as possible. The present work investigates the value of the application of different phase data throughout the radiotherapy process in analyzing risk of grade ≥ 2 radiation pneumonitis in stage III/IV NSCLC. Furthermore, the phase data fusion was gradually performed with the radiotherapy timeline to develop a risk assessment model. Methods This study retrospectively collected data from 91 stage III/IV NSCLC cases treated with Volumetric modulated arc therapy (VMAT). Patient data were collected according to the radiotherapy timeline for four phases: clinical characteristics, radiomics features, radiation dosimetry parameters, and hematological indexes during treatment. Risk assessment models for single-phase and stepwise fusion phases were established according to logistic regression. In addition, a nomogram of the final fusion phase model and risk classification system was generated. Receiver operating characteristic (ROC), decision curve, and calibration curve analysis were conducted to internally validate the nomogram to analyze its discrimination. Results Smoking status, PTV and lung radiomics feature, lung and esophageal dosimetry parameters, and platelets at the third week of radiotherapy were independent risk factors for the four single-phase models. The ROC result analysis of the risk assessment models created by stepwise phase fusion were: (area under curve [AUC]: 0.67,95% confidence interval [CI]: 0.52–0.81), (AUC: 0.82,95%CI: 0.70–0.94), (AUC: 0.90,95%CI: 0.80–1.00), and (AUC:0.90,95%CI: 0.80–1.00), respectively. The nomogram based on the final fusion phase model was validated using calibration curve analysis and decision curve analysis, demonstrating good consistency and clinical utility. The nomogram-based risk classification system could correctly classify cases into three diverse risk groups: low-(ratio:3.6%; 0 < score < 135), intermediate-(ratio:30.7%, 135 < score < 160) and high-risk group (ratio:80.0%, score > 160). Conclusions In our study, the risk assessment model makes it easy for physicians to assess the risk of grade ≥ 2 radiation pneumonitis at various phases in the radiotherapy process, and the risk classification system and nomogram identify the patient’s risk level after completion of radiation therapy.
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17
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Hata A, Hino T, Yanagawa M, Nishino M, Hida T, Hunninghake GM, Tomiyama N, Christiani DC, Hatabu H. Interstitial Lung Abnormalities at CT: Subtypes, Clinical Significance, and Associations with Lung Cancer. Radiographics 2022; 42:1925-1939. [PMID: 36083805 PMCID: PMC9630713 DOI: 10.1148/rg.220073] [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: 04/03/2022] [Revised: 06/15/2022] [Accepted: 06/22/2022] [Indexed: 11/11/2022]
Abstract
Interstitial lung abnormality (ILA) is defined as an interstitial change detected incidentally on CT images. It is seen in 4%-9% of smokers and 2%-7% of nonsmokers. ILA has a tendency to progress with time and is associated with respiratory symptoms, decreased exercise capability, reduced pulmonary function, and increased mortality. ILAs can be classified into three subcategories: nonsubpleural, subpleural nonfibrotic, and subpleural fibrotic. In cases of ILA, clinically significant interstitial lung disease should be identified and requires clinically driven management by a pulmonologist. Risk factors for the progression of ILA include clinical elements (ie, inhalation exposures, medication use, radiation therapy, thoracic surgery, physiologic findings, and gas exchange findings) and radiologic elements (ie, basal and peripheral predominance and fibrotic findings). It is recommended that individuals with one or more clinical or radiologic risk factors for progression of ILA be actively monitored with pulmonary function testing and CT. To avoid overcalling ILA at CT, radiologists must recognize the imaging pitfalls, including centrilobular nodularity, dependent abnormality, suboptimal inspiration, osteophyte-related lesions, apical cap and pleuroparenchymal fibroelastosis-like lesions, aspiration, and infection. There is a close association between ILA and lung cancer, and many studies have reported an increased incidence of lung cancer, worse prognoses, and/or increased pulmonary complications in relation to cancer treatment in patients with ILA. ILA is considered to be an important comorbidity in patients with lung cancer. Accordingly, all radiologists involved with body CT must have sound knowledge of ILAs owing to the high prevalence and potential clinical significance of these anomalies. An overview of ILAs, including a literature review of the associations between ILAs and lung cancer, is presented. ©RSNA, 2022.
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Affiliation(s)
- Akinori Hata
- From the Department of Diagnostic and Interventional Radiology,
Graduate School of Medicine, Osaka University, 2-2, Yamadaoka, Suita, Osaka
5650871, Japan (A.H., M.Y., N.T.); Center for Pulmonary Functional Imaging,
Department of Radiology (A.H., T.H., M.N., G.M.H., H.H.) and Pulmonary and
Critical Care Division (G.M.H.), Brigham and Women’s Hospital and Harvard
Medical School, Boston, MA; Department of Clinical Radiology, Graduate School of
Medical Sciences, Kyushu University, Fukuoka, Japan (T. Hino, T. Hida);
Department of Imaging, Dana Farber Cancer Institute, Boston, MA (M.N.); and
Department of Environmental Health, Harvard TH Chan School of Public Health,
Boston, Mass (D.C.C.)
| | - Takuya Hino
- From the Department of Diagnostic and Interventional Radiology,
Graduate School of Medicine, Osaka University, 2-2, Yamadaoka, Suita, Osaka
5650871, Japan (A.H., M.Y., N.T.); Center for Pulmonary Functional Imaging,
Department of Radiology (A.H., T.H., M.N., G.M.H., H.H.) and Pulmonary and
Critical Care Division (G.M.H.), Brigham and Women’s Hospital and Harvard
Medical School, Boston, MA; Department of Clinical Radiology, Graduate School of
Medical Sciences, Kyushu University, Fukuoka, Japan (T. Hino, T. Hida);
Department of Imaging, Dana Farber Cancer Institute, Boston, MA (M.N.); and
Department of Environmental Health, Harvard TH Chan School of Public Health,
Boston, Mass (D.C.C.)
| | - Masahiro Yanagawa
- From the Department of Diagnostic and Interventional Radiology,
Graduate School of Medicine, Osaka University, 2-2, Yamadaoka, Suita, Osaka
5650871, Japan (A.H., M.Y., N.T.); Center for Pulmonary Functional Imaging,
Department of Radiology (A.H., T.H., M.N., G.M.H., H.H.) and Pulmonary and
Critical Care Division (G.M.H.), Brigham and Women’s Hospital and Harvard
Medical School, Boston, MA; Department of Clinical Radiology, Graduate School of
Medical Sciences, Kyushu University, Fukuoka, Japan (T. Hino, T. Hida);
Department of Imaging, Dana Farber Cancer Institute, Boston, MA (M.N.); and
Department of Environmental Health, Harvard TH Chan School of Public Health,
Boston, Mass (D.C.C.)
| | - Mizuki Nishino
- From the Department of Diagnostic and Interventional Radiology,
Graduate School of Medicine, Osaka University, 2-2, Yamadaoka, Suita, Osaka
5650871, Japan (A.H., M.Y., N.T.); Center for Pulmonary Functional Imaging,
Department of Radiology (A.H., T.H., M.N., G.M.H., H.H.) and Pulmonary and
Critical Care Division (G.M.H.), Brigham and Women’s Hospital and Harvard
Medical School, Boston, MA; Department of Clinical Radiology, Graduate School of
Medical Sciences, Kyushu University, Fukuoka, Japan (T. Hino, T. Hida);
Department of Imaging, Dana Farber Cancer Institute, Boston, MA (M.N.); and
Department of Environmental Health, Harvard TH Chan School of Public Health,
Boston, Mass (D.C.C.)
| | - Tomoyuki Hida
- From the Department of Diagnostic and Interventional Radiology,
Graduate School of Medicine, Osaka University, 2-2, Yamadaoka, Suita, Osaka
5650871, Japan (A.H., M.Y., N.T.); Center for Pulmonary Functional Imaging,
Department of Radiology (A.H., T.H., M.N., G.M.H., H.H.) and Pulmonary and
Critical Care Division (G.M.H.), Brigham and Women’s Hospital and Harvard
Medical School, Boston, MA; Department of Clinical Radiology, Graduate School of
Medical Sciences, Kyushu University, Fukuoka, Japan (T. Hino, T. Hida);
Department of Imaging, Dana Farber Cancer Institute, Boston, MA (M.N.); and
Department of Environmental Health, Harvard TH Chan School of Public Health,
Boston, Mass (D.C.C.)
| | - Gary M. Hunninghake
- From the Department of Diagnostic and Interventional Radiology,
Graduate School of Medicine, Osaka University, 2-2, Yamadaoka, Suita, Osaka
5650871, Japan (A.H., M.Y., N.T.); Center for Pulmonary Functional Imaging,
Department of Radiology (A.H., T.H., M.N., G.M.H., H.H.) and Pulmonary and
Critical Care Division (G.M.H.), Brigham and Women’s Hospital and Harvard
Medical School, Boston, MA; Department of Clinical Radiology, Graduate School of
Medical Sciences, Kyushu University, Fukuoka, Japan (T. Hino, T. Hida);
Department of Imaging, Dana Farber Cancer Institute, Boston, MA (M.N.); and
Department of Environmental Health, Harvard TH Chan School of Public Health,
Boston, Mass (D.C.C.)
| | - Noriyuki Tomiyama
- From the Department of Diagnostic and Interventional Radiology,
Graduate School of Medicine, Osaka University, 2-2, Yamadaoka, Suita, Osaka
5650871, Japan (A.H., M.Y., N.T.); Center for Pulmonary Functional Imaging,
Department of Radiology (A.H., T.H., M.N., G.M.H., H.H.) and Pulmonary and
Critical Care Division (G.M.H.), Brigham and Women’s Hospital and Harvard
Medical School, Boston, MA; Department of Clinical Radiology, Graduate School of
Medical Sciences, Kyushu University, Fukuoka, Japan (T. Hino, T. Hida);
Department of Imaging, Dana Farber Cancer Institute, Boston, MA (M.N.); and
Department of Environmental Health, Harvard TH Chan School of Public Health,
Boston, Mass (D.C.C.)
| | - David C. Christiani
- From the Department of Diagnostic and Interventional Radiology,
Graduate School of Medicine, Osaka University, 2-2, Yamadaoka, Suita, Osaka
5650871, Japan (A.H., M.Y., N.T.); Center for Pulmonary Functional Imaging,
Department of Radiology (A.H., T.H., M.N., G.M.H., H.H.) and Pulmonary and
Critical Care Division (G.M.H.), Brigham and Women’s Hospital and Harvard
Medical School, Boston, MA; Department of Clinical Radiology, Graduate School of
Medical Sciences, Kyushu University, Fukuoka, Japan (T. Hino, T. Hida);
Department of Imaging, Dana Farber Cancer Institute, Boston, MA (M.N.); and
Department of Environmental Health, Harvard TH Chan School of Public Health,
Boston, Mass (D.C.C.)
| | - Hiroto Hatabu
- From the Department of Diagnostic and Interventional Radiology,
Graduate School of Medicine, Osaka University, 2-2, Yamadaoka, Suita, Osaka
5650871, Japan (A.H., M.Y., N.T.); Center for Pulmonary Functional Imaging,
Department of Radiology (A.H., T.H., M.N., G.M.H., H.H.) and Pulmonary and
Critical Care Division (G.M.H.), Brigham and Women’s Hospital and Harvard
Medical School, Boston, MA; Department of Clinical Radiology, Graduate School of
Medical Sciences, Kyushu University, Fukuoka, Japan (T. Hino, T. Hida);
Department of Imaging, Dana Farber Cancer Institute, Boston, MA (M.N.); and
Department of Environmental Health, Harvard TH Chan School of Public Health,
Boston, Mass (D.C.C.)
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18
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Oh AS, Lynch DA. Interstitial Lung Abnormality—Why Should I Care and What Should I Do About It? Radiol Clin North Am 2022; 60:889-899. [DOI: 10.1016/j.rcl.2022.06.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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19
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Axelsson GT, Gudmundsson G. Interstitial lung abnormalities - current knowledge and future directions. Eur Clin Respir J 2021; 8:1994178. [PMID: 34745461 PMCID: PMC8567914 DOI: 10.1080/20018525.2021.1994178] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Efforts to grasp the significance of radiologic changes similar to interstitial lung disease (ILD) in undiagnosed individuals have intensified in the recent decade. The term interstitial lung abnormalities (ILA) is an emerging definition of such changes, defined by visual examination of computed tomography scans. Substantial insights have been made in the origins and clinical consequences of these changes, as well as automated measures of early lung fibrosis, which will likely lead to increased recognition of early fibrotic lung changes among clinicians and researchers alike. Interstitial lung abnormalities have an estimated prevalence of 7–10% in elderly populations. They correlate with many ILD risk factors, both epidemiologic and genetic. Additionally, histopathological similarities with IPF exist in those with ILA. While no established blood biomarker of ILA exists, several have been suggested. Distinct imaging patterns indicating advanced fibrosis correlate with worse clinical outcomes. ILA are also linked with adverse clinical outcomes such as increased mortality and risk of lung cancer. Progression of ILA has been noted in a significant portion of those with ILA and is associated with many of the same features as ILD, including advanced fibrosis. Those with ILA progression are at risk of accelerated FVC decline and increased mortality. Radiologic changes resembling ILD have also been attained by automated measures. Such measures associate with some, but not all the same factors as ILA. ILA and similar radiologic changes are in many ways analogous to ILD and likely represent a precursor of ILD in some cases. While warranting an evaluation for ILD, they are associated with poor clinical outcomes beyond possible ILD development and thus are by themselves a significant finding. Among the present objectives of this field are the stratification of patients with regards to progression and the discovery of biomarkers with predictive value for clinical outcomes.
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Affiliation(s)
- Gisli Thor Axelsson
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland.,Icelandic Heart Association, Kopavogur, Iceland
| | - Gunnar Gudmundsson
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland.,Department of Respiratory Medicine and Sleep, Landspitali University Hospital, Reykjavik, Iceland
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20
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Nekhlyudov L, Campbell GB, Schmitz KH, Brooks GA, Kumar AJ, Ganz PA, Von Ah D. Cancer-related impairments and functional limitations among long-term cancer survivors: Gaps and opportunities for clinical practice. Cancer 2021; 128:222-229. [PMID: 34529268 PMCID: PMC9292035 DOI: 10.1002/cncr.33913] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2021] [Revised: 08/27/2021] [Accepted: 08/27/2021] [Indexed: 12/20/2022]
Abstract
This commentary provides a concise overview of the epidemiology of cancer survivorship and work, common functional limitations experienced by cancer survivors, and evidence‐based recommendations for interventions available to improve function. It also describes the US Social Security Administration's disability claims process, its eligibility requirements, and barriers for long‐term survivors in securing approval for disability claims, and offers insights for practicing clinicians in holistically addressing functional limitations in practice.
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Affiliation(s)
- Larissa Nekhlyudov
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Grace B Campbell
- Duquesne University School of Nursing, Pittsburgh, Pennsylvania.,Department of Obstetrics, Gynecology, and Reproductive Sciences, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Kathryn H Schmitz
- Department of Public Health Sciences, Penn State College of Medicine, Hershey, Pennsylvania
| | - Gabriel A Brooks
- Norris Cotton Cancer Center, Geisel School of Medicine, Lebanon, New Hampshire
| | - Anita J Kumar
- Department of Medicine, Tufts Medical Center, Boston, Massachusetts
| | - Patricia A Ganz
- School of Medicine, University of California Los Angeles, Los Angeles, California.,Department of Health Policy and Management, School of Public Health, University of California Los Angeles, Los Angeles, California.,Jonsson Comprehensive Cancer Center, University of California Los Angeles, Los Angeles, California
| | - Diane Von Ah
- College of Nursing, Ohio State University, Columbus, Ohio
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21
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Hata A, Schiebler ML, Lynch DA, Hatabu H. Interstitial Lung Abnormalities: State of the Art. Radiology 2021; 301:19-34. [PMID: 34374589 DOI: 10.1148/radiol.2021204367] [Citation(s) in RCA: 55] [Impact Index Per Article: 18.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
The clinical importance of interstitial lung abnormality (ILA) is increasingly recognized. In July 2020, the Fleischner Society published a position paper about ILA. The purposes of this article are to summarize the definition, existing evidence, clinical management, and unresolved issues for ILA from a radiologic standpoint and to provide a practical guide for radiologists. ILA is a common incidental finding at CT and is often progressive and associated with worsened clinical outcomes. The hazard ratios for mortality range from 1.3 to 2.7 in large cohorts. Risk factors for ILA include age, smoking status, other inhalational exposures, and genetic factors (eg, gene encoding mucin 5B variant). Radiologists should systematically record the presence, morphologic characteristics, distribution, and subcategories of ILA (ie, nonsubpleural, subpleural nonfibrotic, and subpleural fibrotic), as these are informative for predicting progression and mortality. Clinically significant interstitial lung disease should not be considered ILA. Individuals with ILA are triaged into higher- and lower-risk groups depending on their risk factors for progression, and systematic follow-up, including CT, should be considered for the higher-risk group. Artificial intelligence-based automated analysis for ILA may be helpful, but further validation and improvement are needed. Radiologists have a central role in clinical management and research on ILA.
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Affiliation(s)
- Akinori Hata
- From the Department of Radiology, Brigham and Women's Hospital and Harvard Medical School, 75 Francis St, Boston, MA 02115 (A.H., H.H.); Department of Diagnostic and Interventional Radiology, Osaka University Graduate School of Medicine, Osaka, Japan (A.H.); Department of Radiology, University of Wisconsin-Madison School of Medicine and Public Health, Madison, Wis (M.L.S.); and Department of Radiology, National Jewish Health, Denver, Colo (D.A.L.)
| | - Mark L Schiebler
- From the Department of Radiology, Brigham and Women's Hospital and Harvard Medical School, 75 Francis St, Boston, MA 02115 (A.H., H.H.); Department of Diagnostic and Interventional Radiology, Osaka University Graduate School of Medicine, Osaka, Japan (A.H.); Department of Radiology, University of Wisconsin-Madison School of Medicine and Public Health, Madison, Wis (M.L.S.); and Department of Radiology, National Jewish Health, Denver, Colo (D.A.L.)
| | - David A Lynch
- From the Department of Radiology, Brigham and Women's Hospital and Harvard Medical School, 75 Francis St, Boston, MA 02115 (A.H., H.H.); Department of Diagnostic and Interventional Radiology, Osaka University Graduate School of Medicine, Osaka, Japan (A.H.); Department of Radiology, University of Wisconsin-Madison School of Medicine and Public Health, Madison, Wis (M.L.S.); and Department of Radiology, National Jewish Health, Denver, Colo (D.A.L.)
| | - Hiroto Hatabu
- From the Department of Radiology, Brigham and Women's Hospital and Harvard Medical School, 75 Francis St, Boston, MA 02115 (A.H., H.H.); Department of Diagnostic and Interventional Radiology, Osaka University Graduate School of Medicine, Osaka, Japan (A.H.); Department of Radiology, University of Wisconsin-Madison School of Medicine and Public Health, Madison, Wis (M.L.S.); and Department of Radiology, National Jewish Health, Denver, Colo (D.A.L.)
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22
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Yafeng L, Jing W, Jiawei Z, Yingru X, Xin Z, Danting L, Jun X, Chang T, Min M, Xuansheng D, Dong H. Construction and Verification of a Radiation Pneumonia Prediction Model Based on Multiple Parameters. Cancer Control 2021; 28:10732748211026671. [PMID: 34263661 PMCID: PMC8287426 DOI: 10.1177/10732748211026671] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
Objective: Patients with lung cancer are at risk of radiation pneumonia (RP) after
receiving radiotherapy. We established a prediction model according to the
critical indicators extracted from radiation pneumonia patients. Materials and Methods: 74 radiation pneumonia patients were involved in the training set. Firstly,
the clinical data, hematological and radiation dose parameters of the 74
patients were screened by Logistics regression univariate analysis according
to the level of radiation pneumonia. Next, Stepwise regression analysis was
utilized to construct the regression model. Then, the influence of
continuous variables on RP was tested by smoothing function. Finally, the
model was externally verified by 30 patients in validation set and
visualized by R code. Results: In the training set, there was 40 patients suffered≥ level 2 acute radiation
pneumonia. Clinical data (diabetes), blood indexes (lymphocyte percentage,
basophil percentage, platelet count) and radiation dose (V15 > 40%, V20
> 30%, V35 >18%, V40 > 15%) were related to radiation pneumonia
(P < 0.05). Particularly, stepwise regression
analysis indicated that the history of diabetes, the basophils percentage,
platelet count and V20 could be the best combination used for predicting
radiation pneumonia. The column chart was obtained by fitting the regression
model with the combined indicator. The receiver operating characteristic
(ROC) curve showed that the AUC in the development term was 0.853, the AUC
was 0.656 in the validation term. And calibration curves of both groups
showed the high stability in efficiently diagnostic. Furthermore, the DCA
curve showed that the model had a satisfactory positive net benefit. Conclusion: The combination of the basophils percentage, platelet count and V20 is
available to build a predictive model of radiation pneumonia for patients
with advanced lung cancer.
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Affiliation(s)
- Liu Yafeng
- School of Medicine, Anhui University of Science and Technology, Huainan, People's Republic of China
| | - Wu Jing
- School of Medicine, Anhui University of Science and Technology, Huainan, People's Republic of China.,Anhui Province Engineering Laboratory of Occupational Health and Safety, Anhui University of Science and Technology, Huainan, People's Republic of China
| | - Zhou Jiawei
- School of Medicine, Anhui University of Science and Technology, Huainan, People's Republic of China
| | - Xing Yingru
- Affiliated Cancer Hospital, Anhui University of Science and Technology, Huainan, People's Republic of China
| | - Zhang Xin
- School of Medicine, Anhui University of Science and Technology, Huainan, People's Republic of China
| | - Li Danting
- School of Medicine, Anhui University of Science and Technology, Huainan, People's Republic of China
| | - Xie Jun
- Affiliated Cancer Hospital, Anhui University of Science and Technology, Huainan, People's Republic of China
| | - Tian Chang
- School of Medicine, Anhui University of Science and Technology, Huainan, People's Republic of China
| | - Mu Min
- Anhui Province Engineering Laboratory of Occupational Health and Safety, Anhui University of Science and Technology, Huainan, People's Republic of China
| | - Ding Xuansheng
- School of Medicine, Anhui University of Science and Technology, Huainan, People's Republic of China.,School of Pharmacy, Pharmaceutical University, Nanjing, China
| | - Hu Dong
- School of Medicine, Anhui University of Science and Technology, Huainan, People's Republic of China.,Anhui Province Engineering Laboratory of Occupational Health and Safety, Anhui University of Science and Technology, Huainan, People's Republic of China
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23
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Munden RF, Black WC, Hartman TE, MacMahon H, Ko JP, Dyer DS, Naidich D, Rossi SE, McAdams HP, Goodman EM, Brown K, Kent M, Carter BW, Chiles C, Leung AN, Boiselle PM, Kazerooni EA, Berland LL, Pandharipande PV. Managing Incidental Findings on Thoracic CT: Lung Findings. A White Paper of the ACR Incidental Findings Committee. J Am Coll Radiol 2021; 18:1267-1279. [PMID: 34246574 DOI: 10.1016/j.jacr.2021.04.014] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2021] [Accepted: 04/14/2021] [Indexed: 12/17/2022]
Abstract
The ACR Incidental Findings Committee presents recommendations for managing incidentally detected lung findings on thoracic CT. The Chest Subcommittee is composed of thoracic radiologists who endorsed and developed the provided guidance. These recommendations represent a combination of current published evidence and expert opinion and were finalized by informal iterative consensus. The recommendations address commonly encountered incidental findings in the lungs and are not intended to be a comprehensive review of all pulmonary incidental findings. The goal is to improve the quality of care by providing guidance on management of incidentally detected thoracic findings.
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Affiliation(s)
- Reginald F Munden
- Professor, Department of Radiology and Radiological Sciences, Medical University of South Carolina, Charleston, South Carolina; Chair, Department of Radiology and Radiological Sciences, Medical University of South Carolina, Charleston, South Carolina
| | - William C Black
- Professor of Radiology, Emeritus, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire; Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire
| | | | - Heber MacMahon
- Professor of Radiology, Section of Thoracic Imaging, Department of Radiology, The University of Chicago, Chicago, Illinois
| | - Jane P Ko
- Professor of Radiology, Department of Radiology, NYU Langone Health, New York, New York; Fellowship Director, Cardiothoracic Imaging, Department of Radiology, NYU Langone Health, New York, New York
| | - Debra S Dyer
- Professor, Department of Radiology, National Jewish Health, Denver, Colorado; Chair, Department of Radiology, National Jewish Health, Denver, Colorado
| | - David Naidich
- Professor, Emeritus, NYU-Langone Health, New York, New York; Department of Radiology, NYU Grossman School of Medicine, New York, New York
| | - Santiago E Rossi
- Chairman, Centro Rossi, Buenos Aires, Argentina; Chest Section Head, Hospital Cetrángolo, Buenos Aires, Argentina
| | - H Page McAdams
- Professor of Radiology, Duke University Health System, Durham, North Carolina
| | - Eric M Goodman
- Assistant Professor, Department of Radiology, Zucker School of Medicine at Hofstra/Northwell, Manhasset, New York; Associate Program Director, Diagnostic Radiology, Department of Radiology, Zucker School of Medicine at Hofstra/Northwell, Manhasset, New York
| | - Kathleen Brown
- Professor, Department of Radiology, David Geffen School of Medicine at UCLA, Los Angeles, California; Section Chief, Thoracic Imaging, Department of Radiology, David Geffen School of Medicine at UCLA, Los Angeles, California; Assistant Dean, Equity and Diversity Inclusion, David Geffen School of Medicine at UCLA, Los Angeles, California
| | - Michael Kent
- Associate Professor of Surgery, Harvard Medical School, Boston, Massachusetts; Director, Minimally Invasive Thoracic Surgery, Division of Thoracic Surgery and Interventional Pulmonology, Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - Brett W Carter
- Associate Professor, Department of Thoracic Imaging, University of Texas MD Anderson Cancer Center, Houston, Texas; Director of Clinical Operations, University of Texas MD Anderson Cancer Center, Houston, Texas; Chief Patient Safety and Quality Officer, Diagnostic Imaging, University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Caroline Chiles
- Professor, Department of Radiology, Wake Forest Baptist Health, Winston Salem, North Carolina
| | - Ann N Leung
- Professor, Clinical Affairs, Stanford University Medical Center, Stanford, California; Associate Chair, Clinical Affairs, Stanford University Medical Center, Stanford, California; Department of Radiology, Stanford University Medical Center, Stanford, California
| | - Phillip M Boiselle
- Professor, Quinnipiac's Frank H. Netter MD School of Medicine, North Haven, Connecticut; Dean, Quinnipiac's Frank H. Netter MD School of Medicine, William and Barbara Weldon Dean's Chair of Medicine, North Haven, Connecticut
| | - Ella A Kazerooni
- Professor of Radiology, Division of Cardiothoracic Radiology and Internal Medicine, Division of Pulmonary and Critical Care Medicine, University of Michigan Medical School, Ann Arbor, Michigan
| | - Lincoln L Berland
- Professor Emeritus, University of Alabama at Birmingham, Birmingham, Alabama
| | - Pari V Pandharipande
- Director, MGH Institute for Technology Assessment, Massachusetts General Hospital, Boston, Massachusetts; Associate Chair, Integrated Imaging & Imaging Sciences, MGH Radiology, Massachusetts General Hospital, Boston, Massachusetts; Executive Director, Clinical Enterprise Integration, Mass General Brigham (MGB) Radiology, Massachusetts General Hospital, Boston, Massachusetts; Associate Professor of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
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24
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Qiu B, Xiong M, Luo Y, Li Q, Chen N, Chen L, Guo S, Wang B, Huang X, Lin M, Hu N, Guo J, Liang Y, Fang Y, Li J, Yang Y, Huang Y, Zhang L, Wang S, Liu H. Hypofractionated Intensity Modulated Radiation Therapy With Concurrent Chemotherapy in Locally Advanced Non-Small Cell Lung Cancer: A Phase II Prospective Clinical Trial (GASTO1011). Pract Radiat Oncol 2021; 11:374-383. [PMID: 34157448 DOI: 10.1016/j.prro.2021.06.004] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2020] [Revised: 06/06/2021] [Accepted: 06/08/2021] [Indexed: 11/28/2022]
Abstract
PURPOSE We aimed to explore the efficacy and toxicity of split-course hypofractionated radiotherapy with concurrent chemotherapy (HRT-CHT) in patients with locally advanced non-small cell lung cancer (LANSCLC) in this single-arm, phase II study. METHODS LANSCLC patients were considered eligible if their forced expiratory volume in 1 second/forced vital capacity (FEV1/FVC%) and carbon monoxide diffusing capacity (DLCO%) were ≥40% and ≥45%, respectively. HRT-CHT using the IMRT technique was administered with 51 Gy in 17 fractions as the first course followed by a break. Patients without disease progression or persistent ≥grade 2 toxicities had an HRT-CHT of 15-18 Gy in 5-6 fractions as a boost. The primary endpoint was progression-free survival (PFS), and the secondary endpoint was overall survival (OS). RESULTS Eighty-nine patients were enrolled and analyzed. The median follow-up was 29.5 months for all patients and 35.3 months for the survivors. The objective response rate was 97.8%; the median PFS and OS were 11.0 months and 27.0 months, respectively. Grade 3 acute esophagitis/pneumonitis occurred in 15 (16.9%)/7 (7.9%) patients. Grade 3/5 late pneumonitis occurred in 2 (2.2%)/1 (1.1%) patients. Of the 78 (87.6%) who completed the split-course HRT-CHT per protocol, patients with better FEV1/FVC% and DLCO% after the break had significantly better OS (for the FEV/FVC1%≥80% vs 60-79% vs 41-59% groups, 2-year OS values were 57.2% vs 56.9% vs 0%, respectively, p=0.024; for the DLCO%≥80% vs 60-79% vs 45-59% groups, 2-year OS values were 70.4% vs 48.4% vs 37.5%, respectively, p=0.049). CONCLUSIONS Split-course HRT-CHT achieved a promising response rate and survival with tolerable toxicity in LANSCLC. Pulmonary function tests are necessary indicators for radiation treatment planning and dose escalation.
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Affiliation(s)
- Bo Qiu
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou; State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou; Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou; Lung Cancer Institute of Sun Yat-sen University, Guangzhou.; Guangdong Association Study of Thoracic Oncology, Guangzhou
| | - Mai Xiong
- Department of Cardiac Surgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou
| | - YiFeng Luo
- Pulmonary and Critical Care Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou
| | - QiWen Li
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou; State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou; Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou; Lung Cancer Institute of Sun Yat-sen University, Guangzhou.; Guangdong Association Study of Thoracic Oncology, Guangzhou
| | - NaiBin Chen
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou; State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou; Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou; Lung Cancer Institute of Sun Yat-sen University, Guangzhou.; Guangdong Association Study of Thoracic Oncology, Guangzhou
| | - Li Chen
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou; State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou; Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou; Lung Cancer Institute of Sun Yat-sen University, Guangzhou.; Guangdong Association Study of Thoracic Oncology, Guangzhou
| | - SuPing Guo
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou; State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou; Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou; Lung Cancer Institute of Sun Yat-sen University, Guangzhou.; Guangdong Association Study of Thoracic Oncology, Guangzhou
| | - Bin Wang
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou; State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou; Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou; Lung Cancer Institute of Sun Yat-sen University, Guangzhou.; Guangdong Association Study of Thoracic Oncology, Guangzhou
| | - XiaoYan Huang
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou; State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou; Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou; Lung Cancer Institute of Sun Yat-sen University, Guangzhou.; Guangdong Association Study of Thoracic Oncology, Guangzhou
| | - MaoSheng Lin
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou; State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou; Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou; Lung Cancer Institute of Sun Yat-sen University, Guangzhou.; Guangdong Association Study of Thoracic Oncology, Guangzhou
| | - Nan Hu
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou; State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou; Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou; Lung Cancer Institute of Sun Yat-sen University, Guangzhou.; Guangdong Association Study of Thoracic Oncology, Guangzhou
| | - JinYu Guo
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou; State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou; Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou; Lung Cancer Institute of Sun Yat-sen University, Guangzhou.; Guangdong Association Study of Thoracic Oncology, Guangzhou
| | - Ying Liang
- Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou; State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou; Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou; Lung Cancer Institute of Sun Yat-sen University, Guangzhou.; Guangdong Association Study of Thoracic Oncology, Guangzhou
| | - Yi Fang
- Intensive Care Unit, Sun Yat-sen University Cancer Center, Guangzhou; State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou; Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou
| | - JiBin Li
- Clinical Research, Sun Yat-sen University Cancer Center, Guangzhou; State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou; Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou.
| | - YunPeng Yang
- Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou; State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou; Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou; Lung Cancer Institute of Sun Yat-sen University, Guangzhou
| | - Yan Huang
- Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou; State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou; Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou; Lung Cancer Institute of Sun Yat-sen University, Guangzhou
| | - Li Zhang
- Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou; State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou; Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou; Lung Cancer Institute of Sun Yat-sen University, Guangzhou
| | - SiYu Wang
- Thoracic Surgery, Sun Yat-sen University Cancer Center, Guangzhou; State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou; Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou; Guangdong Association Study of Thoracic Oncology, Guangzhou
| | - Hui Liu
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou; State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou; Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou; Lung Cancer Institute of Sun Yat-sen University, Guangzhou.; Guangdong Association Study of Thoracic Oncology, Guangzhou.
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25
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Lynch DA. Interstitial Lung Abnormality Incidentally Detected on CT: An Important Prognostic Indicator. Chest 2021; 159:5-6. [PMID: 33422230 DOI: 10.1016/j.chest.2020.10.027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2020] [Accepted: 10/12/2020] [Indexed: 11/20/2022] Open
Affiliation(s)
- David A Lynch
- Department of Radiology, National Jewish Health, Denver, CO.
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26
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Okumura M, Hojo H, Nakamura M, Hiyama T, Nakamura N, Zenda S, Motegi A, Hirano Y, Kageyama SI, Parshuram RV, Fujisawa T, Kuno H, Akimoto T. Radiation pneumonitis after palliative radiotherapy in cancer patients with interstitial lung disease. Radiother Oncol 2021; 161:47-54. [PMID: 34089755 DOI: 10.1016/j.radonc.2021.05.026] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2021] [Revised: 05/26/2021] [Accepted: 05/26/2021] [Indexed: 12/25/2022]
Abstract
PURPOSE The risk of radiation pneumonitis (RP) after palliative radiotherapy (RT) in cancer patients with interstitial lung disease (ILD) remains unclear. This study aimed to investigate the incidence, severity, and predictive factors of RP among patients with ILD who received palliative RT. METHODS AND MATERIALS The medical records of cancer patients with ILD who received palliative RT involving a lung field between January 2008 and December 2019 were retrospectively reviewed. Screening for ILD was performed by using the ICD-10 diagnosis code, and the ILD was evaluated on the basis of pretreatment computed tomography (CT). RP was scored using Common Terminology Criteria for Adverse Events, version 5.0. Associations between both clinical and dosimetric factors and RP were assessed by univariate and multivariate analyses. RESULTS Sixty-two patients were included in the analysis. The median prescribed physical dose of RT was 25 Gy (range, 6-40 Gy). The RP was graded 1, 2, 3, 4, and 5 in 6 (10%), 3 (5%), 1 (2%), 2 (3%), and 6 (10%) patients, respectively. The median time to onset of grade 3 or more RP (≥Gr3 RP) was 39 days (range, 10-155). The results of the multivariate analysis indicated that ILD pattern was a significant predictive factor for ≥Gr3 RP (odds ratio, 12.0; 95% confidence interval, 1.02-1664; P < 0.05). CONCLUSIONS RT involving a lung field, even when prescribed with palliative intent, should be administered carefully to ILD patients. Evaluation of the ILD pattern on pretreatment CT images may be of help in determining whether to perform RT.
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Affiliation(s)
- Masayuki Okumura
- Department of Radiation Oncology, National Cancer Center Hospital East, Chiba, Japan
| | - Hidehiro Hojo
- Department of Radiation Oncology, National Cancer Center Hospital East, Chiba, Japan.
| | - Masaki Nakamura
- Department of Radiation Oncology, National Cancer Center Hospital East, Chiba, Japan
| | - Takashi Hiyama
- Department of Diagnostic Radiology, National Cancer Center Hospital East, Chiba, Japan
| | - Naoki Nakamura
- Department of Radiology, St. Marianna University School of Medicine, Kawasaki, Japan
| | - Sadamoto Zenda
- Department of Radiation Oncology, National Cancer Center Hospital East, Chiba, Japan
| | - Atsushi Motegi
- Department of Radiation Oncology, National Cancer Center Hospital East, Chiba, Japan
| | - Yasuhiro Hirano
- Department of Radiation Oncology, National Cancer Center Hospital East, Chiba, Japan
| | - Shun-Ichiro Kageyama
- Department of Radiation Oncology, National Cancer Center Hospital East, Chiba, Japan; Division of Radiation Oncology and Particle Therapy, Exploratory Oncology Research and Clinical Trial Center, National Cancer Center, Chiba, Japan
| | | | - Takeshi Fujisawa
- Department of Radiation Oncology, National Cancer Center Hospital East, Chiba, Japan
| | - Hirofumi Kuno
- Department of Diagnostic Radiology, National Cancer Center Hospital East, Chiba, Japan
| | - Tetsuo Akimoto
- Department of Radiation Oncology, National Cancer Center Hospital East, Chiba, Japan; Division of Radiation Oncology and Particle Therapy, Exploratory Oncology Research and Clinical Trial Center, National Cancer Center, Chiba, Japan
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Li F, Liu H, Wu H, Liang S, Xu Y. Risk factors for radiation pneumonitis in lung cancer patients with subclinical interstitial lung disease after thoracic radiation therapy. Radiat Oncol 2021; 16:70. [PMID: 33849579 PMCID: PMC8045204 DOI: 10.1186/s13014-021-01798-2] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2021] [Accepted: 03/31/2021] [Indexed: 02/23/2023] Open
Abstract
Background Previous studies have found that patients with subclinical interstitial lung disease (ILD) are highly susceptible to developing radiation pneumonitis (RP) after thoracic radiation therapy. In the present study we aimed to evaluate the incidence of and risk factors for RP after thoracic intensity-modulated radiation therapy in lung cancer patients with subclinical ILD. Methods We retrospectively analyzed data from lung cancer patients with subclinical ILD who were treated with thoracic intensity-modulated radiation therapy with a prescribed dose of ≥ 50 Gy in our institution between January 2016 and December 2017. Results Eighty-seven consecutive lung cancer patients with subclinical ILD were selected for the study. The median follow-up period was 14.0 months. The cumulative incidence of grades ≥ 2 and ≥ 3 RP at one year was 51.0% and 20.9%, respectively. In the multivariate analysis, a mean lung dose ≥ 12 Gy was a significant risk factor for grade ≥ 2 RP (p = 0.049). Chemotherapy with gemcitabine in the past, V5 ≥ 50%, and subclinical ILD involving ≥ 25% of the lung volume were significantly associated with grade ≥ 3 RP (p = 0.046, p = 0.040, and p = 0.024, respectively). Conclusion Mean lung dose is a significant risk factor for grade ≥ 2 RP. Lung cancer patients who have received chemotherapy with gemcitabine in the past, V5 ≥ 50%, and those with subclinical ILD involving ≥ 25% of lung volume have an increased risk of grade ≥ 3 RP in lung cancer patients with subclinical ILD.
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Affiliation(s)
- Fangjuan Li
- Department of Radiation Oncology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, No. 507 Zhengmin Road, Yangpu District, Shanghai, 200433, People's Republic of China
| | - Hui Liu
- Department of Radiation Oncology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, No. 507 Zhengmin Road, Yangpu District, Shanghai, 200433, People's Republic of China
| | - Hongyu Wu
- Department of Radiation Oncology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, No. 507 Zhengmin Road, Yangpu District, Shanghai, 200433, People's Republic of China
| | - Shixiong Liang
- Department of Radiation Oncology, Affiliated Cancer Hospital of Guangxi Medical University, Cancer Institute of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, People's Republic of China.
| | - Yaping Xu
- Department of Radiation Oncology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, No. 507 Zhengmin Road, Yangpu District, Shanghai, 200433, People's Republic of China.
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Kobayashi H, Wakuda K, Naito T, Mamesaya N, Omori S, Ono A, Kenmotsu H, Murakami H, Endo M, Harada H, Gon Y, Takahashi T. Chemoradiotherapy for limited-stage small-cell lung cancer and interstitial lung abnormalities. Radiat Oncol 2021; 16:52. [PMID: 33731123 PMCID: PMC7972232 DOI: 10.1186/s13014-021-01780-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2020] [Accepted: 03/10/2021] [Indexed: 12/04/2022] Open
Abstract
Background Patients with lung cancer and interstitial lung disease treated with radiotherapy are at risk of developing radiation pneumonitis. However, the association between interstitial lung abnormalities (ILAs) and radiation pneumonitis in patients with limited-stage small-cell lung cancer (LS-SCLC) remains unclear. Furthermore, the prognosis is uncertain for patients with SCLC and ILAs treated with chemoradiotherapy. We investigated the impact of ILAs on radiation pneumonitis and assessed the prognosis of patients with LS-SCLC and ILAs treated with chemoradiotherapy. Methods We retrospectively reviewed the medical records of 149 patients with LS-SCLC who received first-line treatment between January 2009 and December 2016. Results In the univariate analysis, the patients with ILAs showed a higher incidence rate of radiation pneumonitis compared with those without ILAs (64% vs. 10%, P < 0.001). Multivariate analysis confirmed that ILAs were significantly associated with the incidence of radiation pneumonitis. In the univariate analysis, patients with ILAs showed poorer overall survival than those without ILAs (median, 18.9 vs. 67.9 months, P = 0.0338). Multivariate analysis showed that ILAs were a significant independent negative prognostic factor. However, the 2-year and 5-year survival rates for the patients with ILAs treated with chemoradiotherapy were 36% and 26%, respectively, and 8% and 0%, respectively, for those treated with chemotherapy alone. Conclusions ILAs were found to be a predictive factor for radiation pneumonitis in patients with LS-SCLC treated with chemoradiotherapy. Patients with LS-SCLC and ILAs who were treated with chemoradiotherapy had both the possibility of long-term survival and risk of radiation pneumonitis. Supplementary Information The online version contains supplementary material available at 10.1186/s13014-021-01780-y.
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Affiliation(s)
- Haruki Kobayashi
- Division of Thoracic Oncology, Shizuoka Cancer Center, 1007 Shimonagakubo, Nagaizumi-cho, Sunto-gun, Shizuoka, 411-8777, Japan. .,Division of Respiratory Medicine, Nihon University School of Medicine, Tokyo, Japan.
| | - Kazushige Wakuda
- Division of Thoracic Oncology, Shizuoka Cancer Center, 1007 Shimonagakubo, Nagaizumi-cho, Sunto-gun, Shizuoka, 411-8777, Japan
| | - Tateaki Naito
- Division of Thoracic Oncology, Shizuoka Cancer Center, 1007 Shimonagakubo, Nagaizumi-cho, Sunto-gun, Shizuoka, 411-8777, Japan
| | - Nobuaki Mamesaya
- Division of Thoracic Oncology, Shizuoka Cancer Center, 1007 Shimonagakubo, Nagaizumi-cho, Sunto-gun, Shizuoka, 411-8777, Japan
| | - Shota Omori
- Division of Thoracic Oncology, Shizuoka Cancer Center, 1007 Shimonagakubo, Nagaizumi-cho, Sunto-gun, Shizuoka, 411-8777, Japan
| | - Akira Ono
- Division of Thoracic Oncology, Shizuoka Cancer Center, 1007 Shimonagakubo, Nagaizumi-cho, Sunto-gun, Shizuoka, 411-8777, Japan
| | - Hirotsugu Kenmotsu
- Division of Thoracic Oncology, Shizuoka Cancer Center, 1007 Shimonagakubo, Nagaizumi-cho, Sunto-gun, Shizuoka, 411-8777, Japan
| | - Haruyasu Murakami
- Division of Thoracic Oncology, Shizuoka Cancer Center, 1007 Shimonagakubo, Nagaizumi-cho, Sunto-gun, Shizuoka, 411-8777, Japan
| | - Masahiro Endo
- Division of Diagnostic Radiology, Shizuoka Cancer Center, Shizuoka, Japan
| | - Hideyuki Harada
- Division of Radiation and Proton Therapy, Shizuoka Cancer Center, Shizuoka, Japan
| | - Yasuhiro Gon
- Division of Respiratory Medicine, Nihon University School of Medicine, Tokyo, Japan
| | - Toshiaki Takahashi
- Division of Thoracic Oncology, Shizuoka Cancer Center, 1007 Shimonagakubo, Nagaizumi-cho, Sunto-gun, Shizuoka, 411-8777, Japan
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Kashihara T, Nakayama Y, Ito K, Kubo Y, Okuma K, Shima S, Nakamura S, Takahashi K, Inaba K, Murakami N, Igaki H, Ohe Y, Kusumoto M, Itami J. Usefulness of Simple Original Interstitial Lung Abnormality Scores for Predicting Radiation Pneumonitis Requiring Steroidal Treatment After Definitive Radiation Therapy for Patients With Locally Advanced Non-Small Cell Lung Cancer. Adv Radiat Oncol 2021; 6:100606. [PMID: 33665489 PMCID: PMC7897760 DOI: 10.1016/j.adro.2020.10.019] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2020] [Revised: 10/01/2020] [Accepted: 10/17/2020] [Indexed: 12/20/2022] Open
Abstract
Purpose Adjuvant durvalumab has become a standard treatment after chemoradiation therapy for patients with locally advanced non-small cell lung cancer (LA-NSCLC). Accordingly, predicting radiation pneumonitis (RP) requiring steroidal treatment (steroid-RP) is of utmost importance because steroidal administration is reported to weaken the effectiveness of immunotherapy. However, grade 2 RP was used as an index of RP in previous studies, but it is an ambiguous definition because it includes not only steroid-RP but also a mild cough requiring only a cough medicine. Therefore, in this study, steroid-RP was used for evaluating RP, and the purpose of this study was to investigate predictive factors of steroid-RP, including original simple interstitial lung abnormality scores (ILASs). Methods and Materials A total of 145 patients with LA-NSCLC who received definitive radiation therapy (DRT) in our institution from January 2014 to May 2017 were identified. Original ILASs, performance status, age, respiratory function, Brinkman index, concurrent administration of chemotherapy, and dose-volume histogram metrics of the lung were analyzed to evaluate their association with steroid-RP. Additionally, 3 diagnostic radiologists evaluated the patients' pre-DRT chest computed tomography images and determined the simple ILASs. ILASs were rated as follows: 0: none; 1: abnormality without honeycombing (ground-glass attenuation, fine reticular opacity, and microcysts); and 2: honeycombing. Results The median follow-up period was 729 days. Thirty-one patients (21.4%) experienced steroid-RP. In the univariate analysis, lung V5/V10/VS5, Brinkman index, and ILASs were significant predictive factors of steroid-RP. Additionally, multivariate analysis including Brinkman index ≥840, lung V5 ≥37%, and an ILAS ≥1 revealed that only an ILAS (P = .001) was an independent predictive factor of steroid-RP. Conclusions The original simple ILAS was an easy-to-use tool and a significant predictive factor of steroid-RP in DRT in patients with LA-NSCLC.
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Affiliation(s)
- Tairo Kashihara
- Department of Radiotherapy in National Cancer Center Hospital, Tokyo, Japan
| | - Yuko Nakayama
- Department of Radiotherapy in National Cancer Center Hospital, Tokyo, Japan
| | - Kimiteru Ito
- Department of Radiology in National Cancer Center Hospital, Tokyo, Japan
| | - Yuko Kubo
- Department of Radiology in National Cancer Center Hospital, Tokyo, Japan
| | - Kae Okuma
- Department of Radiotherapy in National Cancer Center Hospital, Tokyo, Japan
| | - Satoshi Shima
- Department of Radiotherapy in National Cancer Center Hospital, Tokyo, Japan
| | - Satoshi Nakamura
- Department of Radiotherapy in National Cancer Center Hospital, Tokyo, Japan
| | - Kana Takahashi
- Department of Radiotherapy in National Cancer Center Hospital, Tokyo, Japan
| | - Koji Inaba
- Department of Radiotherapy in National Cancer Center Hospital, Tokyo, Japan
| | - Naoya Murakami
- Department of Radiotherapy in National Cancer Center Hospital, Tokyo, Japan
| | - Hiroshi Igaki
- Department of Radiotherapy in National Cancer Center Hospital, Tokyo, Japan
| | - Yuichiro Ohe
- Department of Thoracic Oncology in National Cancer Center Hospital, Tokyo, Japan
| | - Masahiko Kusumoto
- Department of Radiology in National Cancer Center Hospital, Tokyo, Japan
| | - Jun Itami
- Department of Radiotherapy in National Cancer Center Hospital, Tokyo, Japan
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Dosimetric Factors and Radiomics Features Within Different Regions of Interest in Planning CT Images for Improving the Prediction of Radiation Pneumonitis. Int J Radiat Oncol Biol Phys 2021; 110:1161-1170. [PMID: 33548340 DOI: 10.1016/j.ijrobp.2021.01.049] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2020] [Revised: 11/21/2020] [Accepted: 01/24/2021] [Indexed: 12/12/2022]
Abstract
PURPOSE This study aimed to establish machine learning models using dosimetric factors and radiomics features within 5 regions of interest (ROIs) in treatment planning computed tomography images to improve the prediction of symptomatic radiation pneumonitis (RP) (grade ≥2). METHODS AND MATERIALS This study retrospectively collected data on 79 patients with lung cancer (25 RP ≥2) who underwent chemoradiotherapy between 2015 and 2018. We defined 5 ROIs in planning computed tomography images: gross tumor volume (GTV), planning tumor volume (PTV), PTV-GTV, total lung (TL)-GTV, and TL-PTV. We calculated the mean dose, V5, V10, V20, and V30 within TL-GTV and TL-PTV and the mean dose within the other ROIs. A total of 1924 radiomics features were extracted from all 5 ROIs. We selected the best predictors for classifying 2 groups of patients using a sequential backward elimination support vector machine model. A permutation test was used to assess its statistical significance (P < .05). RESULTS The best predictors for symptomatic RP were the combination of 11 radiomics features, 5 dosimetric factors, age, and T stage, achieving an area under the curve (AUC) of 0.94 (95% confidence interval [CI], 0.85-1) (accuracy, 90%; sensitivity, 80% [95% CI, 44%-96%]; specificity, 95% [95% CI, 73%-100%]; P = 8 × 10-4). The clinical characteristics, dosimetric factors, and their combination showed limited predictive power (accuracy, 63.3%, 70%, and 70%; AUC [95% CI]: 0.73 [0.54-0.92], 0.53 [0.31-0.75], and 0.72 [0.51-0.92], respectively). The radiomics features of PTV-GTV and TL-PTV outperformed those of the other ROIs (accuracy, 76.7% and 76.7%; AUC [95% CI]: 0.82 [0.65-0.99] and 0.80 [0.59-1], respectively). CONCLUSIONS Combining dosimetric factors and radiomics features within different ROIs can improve the prediction of symptomatic RP. Our results can help physicians adjust the radiation dose distribution of the dose-sensitive lungs and target volumes based on personalized RP estimates.
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Nam BD, Hwang JH. Update in Diagnosis of Idiopathic Pulmonary Fibrosis and Interstitial Lung Abnormality. JOURNAL OF THE KOREAN SOCIETY OF RADIOLOGY 2021; 82:770-790. [PMID: 36238071 PMCID: PMC9514410 DOI: 10.3348/jksr.2021.0072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Revised: 06/04/2021] [Accepted: 06/06/2021] [Indexed: 11/15/2022]
Abstract
최신 국제 임상진료지침을 기반으로 한 특발폐섬유증의 진단은 부합하는 임상 소견과 함께 고해상 CT에서 전형적인 상용간질폐렴 소견을 보일 때 조직학적 폐 생검 없이 진단 가능하다. 영상 검사는 특발폐섬유증의 평가 및 진단에 중추적인 역할을 하며, 정확한 진단을 위하여 임상적, 영상의학적 및 병리학적 소견에 대한 다학제 검토의 중요성이 강조된다. 간질성 폐이상(interstitial lung abnormality)은 우연히 발견된 영상의학적 이상 소견을 지칭하며, 간질성폐이상과 임상적으로 의미 있는 간질폐질환에 대한 구분은 적절한 임상 평가를 기반으로 이루어져야 한다. 저자들은 이번 종설을 통하여 특발폐섬유증 진단의 최신 지견 및 간질성폐이상에 대한 이해를 도움으로써 미만성 간질폐섬유증 환자의 정확한 진단과 치료 및 예후 증진에 도움이 되고자 한다.
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Affiliation(s)
- Bo Da Nam
- Department of Radiology, Soonchunhyang University Seoul Hospital, Seoul, Korea
| | - Jung Hwa Hwang
- Department of Radiology, Soonchunhyang University Seoul Hospital, Seoul, Korea
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Pneumonitis after radiotherapy for lung cancer (PARALUC): an interventional study to create a symptom-based scoring system for identification of patients developing radiation pneumonitis. BMC Cancer 2020; 20:785. [PMID: 32819311 PMCID: PMC7441678 DOI: 10.1186/s12885-020-07291-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2020] [Accepted: 08/11/2020] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND Pneumonitis is a possible side effect of radiotherapy for lung cancer. Since it can occur up to several months following treatment, symptoms may not be associated with previous radiotherapy, and pneumonitis can become severe before diagnosed. This study aimed to develop a symptom-based scoring system to contribute to earlier detection of radiation pneumonitis requiring medical intervention (grade ≥ 2). METHODS Patients irradiated for lung cancer complete a paper-based questionnaire (symptom-based score) during and up to 24 weeks following radiotherapy. Patients rate symptoms potentially associated with pneumonitis, and scoring points are assigned to severity of these symptoms. Sum scores are used to identify radiation pneumonitis. If radiation pneumonitis is suspected, patients undergo standard diagnostic procedures. If grade ≥ 2 pneumonitis is confirmed, medical intervention is indicated. The discriminative power of the score will be assessed by calculating the area under the receiver operating characteristic curve (AUC). If statistical significance of the AUC is reached, the optimal sum score to predict radiation pneumonitis will be established, which is defined as a cut-off value with sensitivity ≥90% and specificity ≥80%. Assuming a ratio between patients without and with pneumonitis of 3.63, a sample size of 93 patients is required in the full analysis set to yield statistical significance at the level of 5% with a power of 90% if the AUC under the alternative hypothesis is at least 0.9. Considering potential drop-outs, 98 patients should be recruited. If > 20% of patients are not satisfied with the score, modification is required. If the dissatisfaction rate is > 40%, the score is considered not useful. In 10 patients, functionality of a mobile application will be tested in addition to the paper-based questionnaire. DISCUSSION If an optimal cut-off score resulting in sufficiently high sensitivity and specificity can be identified and the development of a symptom-based scoring system is successful, this tool will contribute to better identification of patients experiencing pneumonitis after radiotherapy for lung cancer. TRIAL REGISTRATION Clinicaltrials.gov ( NCT04335409 ); registered on 2nd of April, 2020.
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Hatabu H, Hunninghake GM, Richeldi L, Brown KK, Wells AU, Remy-Jardin M, Verschakelen J, Nicholson AG, Beasley MB, Christiani DC, San José Estépar R, Seo JB, Johkoh T, Sverzellati N, Ryerson CJ, Graham Barr R, Goo JM, Austin JHM, Powell CA, Lee KS, Inoue Y, Lynch DA. Interstitial lung abnormalities detected incidentally on CT: a Position Paper from the Fleischner Society. THE LANCET RESPIRATORY MEDICINE 2020; 8:726-737. [PMID: 32649920 DOI: 10.1016/s2213-2600(20)30168-5] [Citation(s) in RCA: 245] [Impact Index Per Article: 61.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/06/2020] [Revised: 03/20/2020] [Accepted: 03/31/2020] [Indexed: 12/12/2022]
Abstract
The term interstitial lung abnormalities refers to specific CT findings that are potentially compatible with interstitial lung disease in patients without clinical suspicion of the disease. Interstitial lung abnormalities are increasingly recognised as a common feature on CT of the lung in older individuals, occurring in 4-9% of smokers and 2-7% of non-smokers. Identification of interstitial lung abnormalities will increase with implementation of lung cancer screening, along with increased use of CT for other diagnostic purposes. These abnormalities are associated with radiological progression, increased mortality, and the risk of complications from medical interventions, such as chemotherapy and surgery. Management requires distinguishing interstitial lung abnormalities that represent clinically significant interstitial lung disease from those that are subclinical. In particular, it is important to identify the subpleural fibrotic subtype, which is more likely to progress and to be associated with mortality. This multidisciplinary Position Paper by the Fleischner Society addresses important issues regarding interstitial lung abnormalities, including standardisation of the definition and terminology; predisposing risk factors; clinical outcomes; options for initial evaluation, monitoring, and management; the role of quantitative evaluation; and future research needs.
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Affiliation(s)
- Hiroto Hatabu
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
| | - Gary M Hunninghake
- Department of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Luca Richeldi
- Unitá Operativa Complessa di Pneumologia, Universitá Cattolica del Sacro Cuore, Fondazione Policlinico A Gemelli IRCCS, Rome, Italy
| | - Kevin K Brown
- Department of Medicine, Denver, CO, USA; National Jewish Health, Denver, CO, USA
| | - Athol U Wells
- Department of Respiratory Medicine, Royal Brompton and Hospital NHS Foundation Trust, London, UK; National Heart and Lung Institute, Imperial College London, London, UK
| | - Martine Remy-Jardin
- Department of Thoracic Imaging, Hospital Calmette, University Centre of Lille, Lille, France
| | | | - Andrew G Nicholson
- Department of Histopathology, Royal Brompton and Hospital NHS Foundation Trust, London, UK; National Heart and Lung Institute, Imperial College London, London, UK
| | - Mary B Beasley
- Department of Pathology, Icahn School of Medicine at Mount, New York, NY, USA
| | - David C Christiani
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Raúl San José Estépar
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Joon Beom Seo
- Department of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
| | - Takeshi Johkoh
- Department of Radiology, Kansai Rosai Hospital, Hyogo, Japan
| | | | - Christopher J Ryerson
- Department of Medicine, University of British Columbia and Centre for Heart Lung Innovations, St Paul's Hospital, Vancouver, BC, Canada
| | - R Graham Barr
- Department of Medicine and Department of Epidemiology, Columbia University Medical Center, New York, NY, USA
| | - Jin Mo Goo
- Department of Radiology, Seoul National University College of Medicine, Seoul, South Korea
| | - John H M Austin
- Department of Radiology, Columbia University Medical Center, New York, NY, USA
| | - Charles A Powell
- Pulmonary, Critical Care and Sleep Medicine, Icahn School of Medicine at Mount, New York, NY, USA
| | - Kyung Soo Lee
- Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Yoshikazu Inoue
- Clinical Research Center, National Hospital Organization Kinki-Chuo Chest Medical Center, Osaka, Japan
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Gu W, O'Connor D, Ruan D, Zou W, Dong L, Sheng K. Fraction-variant beam orientation optimization for intensity-modulated proton therapy. Med Phys 2020; 47:3826-3834. [PMID: 32564353 DOI: 10.1002/mp.14340] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2020] [Revised: 06/03/2020] [Accepted: 06/13/2020] [Indexed: 11/10/2022] Open
Abstract
PURPOSE To achieve a superior balance between dosimetry and the delivery efficiency of intensity-modulated proton therapy (IMPT) using as few beams as possible in a single fraction, we optimally vary beams in different fractions. METHODS In the optimization, 400~800 feasible noncoplanar beams were included in the candidate pool. For each beam, the doses of all scanning spots covering the target volume and a margin were calculated. The fraction-variant beam orientation optimization (FVBOO) problem was formulated to include three terms: two quadratic dose fidelity terms to penalize the deviation of planning target volume fractional dose and organs at risk (OAR) cumulative doses from prescription, respectively; an L2,1/2-norm group sparsity term to control the number of active beams per fraction to between 1 and 4. The Fast Iterative Shrinkage-Thresholding Algorithm (FISTA) was applied to solve this problem. FVBOO was tested on a patient with base-of-skull (BOS) tumor of 5 fractions (5f) and 30 fractions (30f) with an average number of active beams per fraction varying between 4 and 1. In addition, one bilateral head-and-neck (H&N) patient, and one esophageal cancer (ESG) patient of 30f were tested with about three active beams per fraction. The results were compared with IMPT plans that use fixed beams in each fraction. The fixed beams were selected using the group sparsity term with a fraction-invariant BOO (FIBOO) constraint. RESULTS Varying beams were chosen in either the 5f or 30f FVBOO plans. While similar number of beams per fraction was selected as the FIBOO plan, the FVBOO plans were able to spare the OARs better, with an average reduction of [Dmean, Dmax] from the FIBOO plans by [0.85, 2.08] Relative Biological Effective Gy (GyRBE) in the 5f plan and [1.87, 4.06] GyRBE in the 30f plans. While reducing the number of beams per fraction in the BOS patient, a three-beam/fraction 5f FVBOO plan performs comparably as the four-beam FIBOO plan and a two-beam/fraction 30f FVBOO plan still provides superior dosimetry. CONCLUSION Fraction-variant beam orientation optimization allows the utilization of a larger beam solution space for superior dose distribution in IMPT while maintaining a practical number of beams in each fraction.
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Affiliation(s)
- Wenbo Gu
- Department of Radiation Oncology, University of California-Los Angeles, Los Angeles, CA, 90095, USA
| | - Daniel O'Connor
- Department of Radiation Oncology, University of California-Los Angeles, Los Angeles, CA, 90095, USA
| | - Dan Ruan
- Department of Radiation Oncology, University of California-Los Angeles, Los Angeles, CA, 90095, USA
| | - Wei Zou
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Lei Dong
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Ke Sheng
- Department of Radiation Oncology, University of California-Los Angeles, Los Angeles, CA, 90095, USA
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Bajraszewski C, Manser R, Chu J, Cox RA, Tran P, Duffy M, Irving L, Herschtal A, Siva S, Ball D. Adverse respiratory outcomes following conventional long‐course radiotherapy for non‐small‐cell lung cancer in patients with pre‐existing pulmonary fibrosis: A comparative retrospective study. J Med Imaging Radiat Oncol 2020; 64:546-555. [DOI: 10.1111/1754-9485.13041] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2019] [Revised: 03/21/2020] [Accepted: 03/27/2020] [Indexed: 12/25/2022]
Affiliation(s)
- Clare Bajraszewski
- Division of Radiation Oncology Peter MacCallum Cancer Centre Melbourne Victoria Australia
| | - Renee Manser
- Department of Respiratory and Sleep Medicine Royal Melbourne Hospital Melbourne Victoria Australia
- Department of Haematology and Medical Oncology Peter MacCallum Cancer Centre Melbourne Victoria Australia
- Department of Medicine (Royal Melbourne Hospital) University of Melbourne Melbourne Victoria Australia
| | - James Chu
- Division of Radiation Oncology Peter MacCallum Cancer Centre Melbourne Victoria Australia
| | - R Ashley Cox
- Division of Radiation Oncology Peter MacCallum Cancer Centre Melbourne Victoria Australia
| | - Phillip Tran
- Division of Radiation Oncology Peter MacCallum Cancer Centre Melbourne Victoria Australia
| | - Mary Duffy
- Department of Nursing Peter MacCallum Cancer Centre Melbourne Victoria Australia
| | - Louis Irving
- Department of Respiratory and Sleep Medicine Royal Melbourne Hospital Melbourne Victoria Australia
- Department of Haematology and Medical Oncology Peter MacCallum Cancer Centre Melbourne Victoria Australia
- Department of Medicine (Royal Melbourne Hospital) University of Melbourne Melbourne Victoria Australia
| | - Alan Herschtal
- Centre for Biostatistics and Clinical Trials Peter MacCallum Cancer Centre Melbourne Victoria Australia
| | - Shankar Siva
- Division of Radiation Oncology Peter MacCallum Cancer Centre Melbourne Victoria Australia
- Sir Peter MacCallum Department of Oncology University of Melbourne Melbourne Victoria Australia
| | - David Ball
- Division of Radiation Oncology Peter MacCallum Cancer Centre Melbourne Victoria Australia
- Sir Peter MacCallum Department of Oncology University of Melbourne Melbourne Victoria Australia
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Finazzi T, Ronden-Kianoush MI, Spoelstra FOB, Nossent EJ, Nijman SFM, Bahce I, Dickhoff C, Senan S. Stereotactic ablative radiotherapy in patients with early-stage non-small cell lung cancer and co-existing interstitial lung disease. Acta Oncol 2020; 59:569-573. [PMID: 32079446 DOI: 10.1080/0284186x.2020.1730002] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Affiliation(s)
- Tobias Finazzi
- Department of Radiation Oncology, Amsterdam University Medical Centers, Amsterdam, The Netherlands
| | - Merle I. Ronden-Kianoush
- Department of Radiation Oncology, Amsterdam University Medical Centers, Amsterdam, The Netherlands
| | - Femke O. B. Spoelstra
- Department of Radiation Oncology, Amsterdam University Medical Centers, Amsterdam, The Netherlands
| | - Esther J. Nossent
- Department of Pulmonary Medicine, Amsterdam University Medical Centers, Amsterdam, The Netherlands
| | - Suzan F. M. Nijman
- Department of Pulmonary Medicine, Amsterdam University Medical Centers, Amsterdam, The Netherlands
| | - Idris Bahce
- Department of Pulmonary Medicine, Amsterdam University Medical Centers, Amsterdam, The Netherlands
| | - Chris Dickhoff
- Department of Surgery and Cardiothoracic Surgery, Amsterdam University Medical Centers, Amsterdam, The Netherlands
| | - Suresh Senan
- Department of Radiation Oncology, Amsterdam University Medical Centers, Amsterdam, The Netherlands
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Cai G, Liang S, Li C, Meng X, Yu J. Left Ventricular Systolic Dysfunction Is a Possible Independent Risk Factor of Radiation Pneumonitis in Locally Advanced Lung Cancer Patients. Front Oncol 2020; 9:1511. [PMID: 32039006 PMCID: PMC6992641 DOI: 10.3389/fonc.2019.01511] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2019] [Accepted: 12/16/2019] [Indexed: 12/25/2022] Open
Abstract
Objectives: To assess the association between left ventricular (LV) systolic and diastolic dysfunction and grade ≥2 radiation pneumonitis (RP) for locally advanced lung cancer patients receiving definitive radiotherapy. Materials and Methods: A retrospective analysis was carried out for 260 lung cancer patients treated with definitive radiotherapy between 2015 and 2017. RP was evaluated according to Radiation Therapy Oncology Group (RTOG) toxicity criteria. Logistic regression analysis, 10-fold cross validation, and external validation were performed. The prediction model's discriminative performance was evaluated using the area under the receiver operating characteristic curve (AUC), and calibration of the model was assessed by the Hosmer-Lemeshow test and the calibration curve. Results: Within the first 6 months after radiotherapy, 70 patients (26.9%) developed grade ≥2 RP. Reduced left ventricular ejection fraction (LVEF) before radiotherapy was detected in 53 patients (20.4%). The odds ratio (OR) of developing RP for patients with LVEF <50% was 3.42 [p < 0.001, 95% confidence interval (CI), 1.85-6.32]. Multivariate analysis showed that forced expiratory volume in the first second/forced vital capacity (FEV1/FVC), LVEF, Eastern Cooperative Oncology Group (ECOG) performance status, chemotherapy, and mean lung dose (MLD) were significantly associated with grade ≥2 RP. The AUC of a model including the above five variables was 0.835 (95% CI, 0.778-0.891) on 10-fold cross validation and 0.742 (95% CI, 0.633-0.851) on the external validation set. The p-value for the Hosmer-Lemeshow test was 0.656 on 10-fold cross validation and 0.534 on the external validation set. Conclusion: LV systolic dysfunction is a possible independent risk factor for RP in locally advanced lung cancer patients receiving definitive radiotherapy.
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Affiliation(s)
- Guoxin Cai
- Department of Radiation Oncology, School of Medicine, Shandong University, Jinan, China.,Department of Radiation Oncology, Shandong Cancer Hospital Affiliated to Shandong First Medical University, Shandong Academy of Medical Science, Jinan, China
| | - Shuai Liang
- Department of Radiation Oncology, Shandong Cancer Hospital Affiliated to Shandong First Medical University, Shandong Academy of Medical Science, Jinan, China
| | - Chuanbao Li
- Department of Emergency, Chest Pain Center, Qilu Hospital of Shandong University, Jinan, China
| | - Xue Meng
- Department of Radiation Oncology, Shandong Cancer Hospital Affiliated to Shandong First Medical University, Shandong Academy of Medical Science, Jinan, China
| | - Jinming Yu
- Department of Radiation Oncology, School of Medicine, Shandong University, Jinan, China.,Department of Radiation Oncology, Shandong Cancer Hospital Affiliated to Shandong First Medical University, Shandong Academy of Medical Science, Jinan, China
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A Novel Nomogram and Risk Classification System Predicting Radiation Pneumonitis in Patients With Esophageal Cancer Receiving Radiation Therapy. Int J Radiat Oncol Biol Phys 2019; 105:1074-1085. [DOI: 10.1016/j.ijrobp.2019.08.024] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2019] [Revised: 08/12/2019] [Accepted: 08/15/2019] [Indexed: 02/06/2023]
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Giuranno L, Ient J, De Ruysscher D, Vooijs MA. Radiation-Induced Lung Injury (RILI). Front Oncol 2019; 9:877. [PMID: 31555602 PMCID: PMC6743286 DOI: 10.3389/fonc.2019.00877] [Citation(s) in RCA: 183] [Impact Index Per Article: 36.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2019] [Accepted: 08/23/2019] [Indexed: 12/12/2022] Open
Abstract
Radiation pneumonitis (RP) and radiation fibrosis (RF) are two dose-limiting toxicities of radiotherapy (RT), especially for lung, and esophageal cancer. It occurs in 5-20% of patients and limits the maximum dose that can be delivered, reducing tumor control probability (TCP) and may lead to dyspnea, lung fibrosis, and impaired quality of life. Both physical and biological factors determine the normal tissue complication probability (NTCP) by Radiotherapy. A better understanding of the pathophysiological sequence of radiation-induced lung injury (RILI) and the intrinsic, environmental and treatment-related factors may aid in the prevention, and better management of radiation-induced lung damage. In this review, we summarize our current understanding of the pathological and molecular consequences of lung exposure to ionizing radiation, and pharmaceutical interventions that may be beneficial in the prevention or curtailment of RILI, and therefore enable a more durable therapeutic tumor response.
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Affiliation(s)
- Lorena Giuranno
- Department of Radiotherapy, GROW School for Oncology Maastricht University Medical Centre, Maastricht, Netherlands
| | - Jonathan Ient
- Department of Radiotherapy, GROW School for Oncology Maastricht University Medical Centre, Maastricht, Netherlands
| | - Dirk De Ruysscher
- Department of Radiotherapy, GROW School for Oncology Maastricht University Medical Centre, Maastricht, Netherlands
| | - Marc A Vooijs
- Department of Radiotherapy, GROW School for Oncology Maastricht University Medical Centre, Maastricht, Netherlands
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Tang X, Li Y, Tian X, Zhou X, Wang Y, Huang M, Ren L, Zhou L, Xue J, Ding Z, Zhu J, Xu Y, Peng F, Wang J, Lu Y, Gong Y. Predicting severe acute radiation pneumonitis in patients with non-small cell lung cancer receiving postoperative radiotherapy: Development and internal validation of a nomogram based on the clinical and dose–volume histogram parameters. Radiother Oncol 2019; 132:197-203. [DOI: 10.1016/j.radonc.2018.10.016] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2018] [Revised: 10/11/2018] [Accepted: 10/16/2018] [Indexed: 12/18/2022]
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