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Hariri LP, Sharma A, Nandy S, Berigei SR, Yamamoto S, Raphaely RA, Flashner BM, Muniappan A, Auchincloss HG, Lanuti M, Hallowell RW, Shea BS, Keyes CM. Endobronchial Optical Coherence Tomography as a Novel Method for In Vivo Microscopic Assessment of Interstitial Lung Abnormalities. Am J Respir Crit Care Med 2024. [PMID: 38207094 DOI: 10.1164/rccm.202310-1871le] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Accepted: 01/10/2024] [Indexed: 01/13/2024] Open
Affiliation(s)
- Lida P Hariri
- Massachusetts General Hospital, Pathology, Boston, Massachusetts, United States;
| | - Amita Sharma
- Massachusetts General Hospital, Radiology, Boston, Massachusetts, United States
| | - Sreyankar Nandy
- Massachusetts General Hospital, Division of Pulmonary and Critical Care Medicine, Boston, Massachusetts, United States
| | - Sarita R Berigei
- Massachusetts General Hospital, 2348, Boston, Massachusetts, United States
| | - Satomi Yamamoto
- Massachusetts General Hospital, Division of Pulmonary and Critical Care Medicine, Boston, Massachusetts, United States
| | - Rebecca A Raphaely
- University of Washington, 7284, Division of Pulmonary and Critical Care Medicine, Seattle, Washington, United States
| | - Bess M Flashner
- Beth Israel Deaconess Medical Center, 1859, Internal Medicine, Boston, Massachusetts, United States
| | - Ashok Muniappan
- Massachusetts General Hospital, Thoracic Surgery, Boston, Massachusetts, United States
| | - Hugh G Auchincloss
- Massachusetts General Hospital, Thoracic Surgery, Boston, Massachusetts, United States
| | - Michael Lanuti
- Massachusetts General Hospital, Thoracic Surgery, Boston, Massachusetts, United States
| | - Robert W Hallowell
- Massachusetts General Hospital, 2348, Division of Pulmonary and Critical Care Medicine, Boston, Massachusetts, United States
| | - Barry S Shea
- Massachusetts General Hospital, 2348, Division of Pulmonary and Critical Care Medicine, Boston, Massachusetts, United States
| | - Colleen M Keyes
- Massachusetts General Hospital, Interventional Pulmonology, Boston, Massachusetts, United States
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Wu A, Zhou Z, Song Y, Liang S, Li F. Application of a radiation pneumonitis prediction model in patients with locally advanced lung squamous cell cancer. Ann Palliat Med 2021; 10:4409-4417. [PMID: 33966441 DOI: 10.21037/apm-21-459] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/20/2021] [Accepted: 04/17/2021] [Indexed: 11/06/2022]
Abstract
BACKGROUND The aim of the present study was to establish a new prediction model for radiation pneumonitis (RP) in locally advanced non-small cell lung cancer (LA-NSCLC) patients before and after radiotherapy. METHODS The study involved 153 patients. Age, arterial partial oxygen pressure (PO2), forced vital capacity, pulmonary emphysema (PE), subclinical interstitial lung disease (sILD), and dosimetric parameters, such as mean lung dose and percentage of lung volume, and a dose >5/20 Gy (V5/V20), were considered candidate RP predictors. RESULTS Of the 153 eligible patients, 33 (21.6%) developed RP, 68 had PE (43.8%), and 24 (15.7%) had sILD. Grades 2, 3, and 5 RP were scored in 17 (11.1%), 15 (9.8%), and 1 (0.7%) patient/s, Grade 4 RP was not observed. Grades 1, 2, and 3 PE were scored in 45 (29.4%), 22 (14.4%), and 1 (0.7%) patient/s. Grades 0 and 1 sILD were observed in 129 (84.3%) and 24 (15.7%) patients. Univariate analysis found age, PE, and sILD to be significantly correlated with grade ≥2 RP. Multivariate analysis revealed age >68 years, PE grade >1, and sILD grade ≥1 as independent risk factor for grade ≥2 RP in LA-NSCLC with squamous cell carcinoma (SCC). Finally, a new predictive risk score (PRS) comprised of these factors was developed. The PRS score was 0, 3-5, and 6-11 when the cumulative incidence of grade ≥2 RP was 8.8% (5 patients), 13% (3 patients), and 84.6% (13 patients) (P=<0.001). CONCLUSIONS Age, PE, and sILD could independently and significantly predict RP in LA-NSCLC with SCC.
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Affiliation(s)
- Ailu Wu
- Department of Radiation Oncology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China; Department of Radiation Oncology, The Affiliated Yantai Yuhuangding Hospital, Qingdao University School of Medicine, Yantai, China
| | - Ziyang Zhou
- Department of Radiation Oncology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China; Department of Radiation Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yipeng Song
- Department of Radiation Oncology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China; Department of Radiation Oncology, The Affiliated Yantai Yuhuangding Hospital, Qingdao University School of Medicine, Yantai, China
| | - Shixiong Liang
- Department of Radiation Oncology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China; Department of Radiation Oncology, Guangxi Medical University Cancer Hospital, Nanning, China
| | - Fangjuan Li
- Department of Radiation Oncology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
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Liu Y, Zhu Y, Wu R, Hu M, Zhang L, Lin Q, Weng D, Sun X, Liu Y, Xu Y. Stereotactic body radiotherapy for early stage non-small cell lung cancer in patients with subclinical interstitial lung disease. Transl Lung Cancer Res 2020; 9:2328-2336. [PMID: 33489796 PMCID: PMC7815350 DOI: 10.21037/tlcr-20-1050] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Background For lung cancer patients with subclinical (untreated and asymptomatic) interstitial lung disease (ILD), there is a lack of relatively safe and effective treatment. Stereotactic body radiation therapy (SBRT) can achieve a high level of tumor control with low toxicity in early-stage non-small cell lung cancer (NSCLC). This study aimed to evaluate the efficacy and toxicity of early stage NSCLC patients with subclinical ILD receiving SBRT. Methods A total of 109 early stage NSCLC patients receiving SBRT treatment between December 2011 and August 2016 were reviewed in our institutions; patients with clinical ILD were excluded. The median dose of SBRT was 50 Gy in 5 fractions. The median biologically effective dose (BED; α/β=10) was 100 Gy (range, 72–119 Gy). An experienced radiation oncologist and an experienced radiologist reviewed the presence of subclinical ILD in the CT findings before SBRT. The relationships among the efficacy, radiation-induced lung injury (RILI) and subclinical ILD were explored. Results In all, 38 (34.9%) of 109 patients were recognized with subclinical ILD before SBRT, 48 (44.0%) of 109 patients were recognized with grade 2–5 RILI after SBRT, and 18 (47.4%) of 38 patients with subclinical ILD were observed with grade 2–5 RILI. Subclinical ILD was not a significant factor of grade 2–5 RILI (P=0.608); however, 3 patients had extensive RILI, and they all suffered from subclinical ILD. Dosimetric factor of the lungs, such as mean lung dose (MLD) was significantly related with Grade 2–5 RILI in patients with subclinical ILD (P=0.042). The progression-free survival (PFS) rates at 3 years in the subclinical ILD patients and those without ILD were 61.6% and 66.8%, respectively (P=0.266). Conclusions Subclinical ILD was not a significant factor for RILI or PFS in early stage NSCLC patients receiving SBRT; however, patients with subclinical ILD receiving SBRT may experience uncommon extensive RILI.
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Affiliation(s)
- Yuanjun Liu
- First Clinical Medical School, Wenzhou Medical University, Wenzhou, China.,Department of Radiation Oncology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Yaoyao Zhu
- Department of Radiation Oncology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Ran Wu
- Department of Radiation Oncology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Min Hu
- Department of Radiation Oncology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Lingnan Zhang
- Department of Radiology, Cancer Hospital of University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Cancer and Basic Medicine (IBMC), Chinese Academy of Sciences, Hangzhou, China
| | - Qingren Lin
- Department of Radiation Oncology, Cancer Hospital of University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Cancer and Basic Medicine (IBMC), Chinese Academy of Sciences, Hangzhou, China
| | - Denghu Weng
- Department of Radiation Oncology, Cancer Hospital of University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Cancer and Basic Medicine (IBMC), Chinese Academy of Sciences, Hangzhou, China
| | - Xiaojiang Sun
- Department of Radiation Oncology, Cancer Hospital of University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Cancer and Basic Medicine (IBMC), Chinese Academy of Sciences, Hangzhou, China
| | - Yu Liu
- Department of Radiation Oncology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Yaping Xu
- First Clinical Medical School, Wenzhou Medical University, Wenzhou, China.,Department of Radiation Oncology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China.,Department of Radiation Oncology, Cancer Hospital of University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Cancer and Basic Medicine (IBMC), Chinese Academy of Sciences, Hangzhou, China
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Easthausen I, Podolanczuk A, Hoffman E, Kawut S, Oelsner E, Kim JS, Raghu G, Stukovsky KH, Redline S, McClelland RL, Barr RG, Lederer DJ. Reference values for high attenuation areas on chest CT in a healthy, never-smoker, multi-ethnic sample: The MESA study. Respirology 2020; 25:855-862. [PMID: 32064731 DOI: 10.1111/resp.13783] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2019] [Revised: 09/27/2019] [Accepted: 11/27/2019] [Indexed: 11/27/2022]
Abstract
BACKGROUND AND OBJECTIVE Normative values for HAA-a quantitative, CT-based measure of subclinical ILD-in healthy adults are needed to improve interpretability in clinical and research settings. METHODS HAA was measured on full-lung CT in 3110 participants in the MESA study. Clinical prediction models were developed using a healthy never-smoker subset with normal spirometry (n = 696). RMSE on cross-validation was used as the primary criterion for model selection. Parametric and non-parametric methods were considered. z-Scores were calculated for the entire study sample. Associations between z-scores and several ILD features were estimated. RESULTS In the healthy never-smoker subset, the mean age was 69 years with a range of 54-93 years. The median HAA was 4.3% with a range of 2.7-17.8%. Linear regression had better predictive performance than other methods. The final model included race, height, weight, age and sex. The standard error of the estimate was 1.62 with a cross-validated RMSE of 1.64 and an adjusted R2 of 0.139. z-Scores were associated with several ILD outcomes in adjusted models, including ILA (OR: 1.40 per z-unit; 95% CI: 1.30, 1.52), exertional dyspnoea (OR: 1.08 per z-unit; 95% CI: 1.02, 1.15) and FVC (expected increase per z-unit: -2.49; 95% CI: -2.95, - 2.03). CONCLUSION We present a reference equation and z-scores to define expected values of HAA on full-lung CT to aid HAA interpretation in middle-aged and older adults.
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Affiliation(s)
- Imaani Easthausen
- Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY, USA.,Department of Medicine, College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Anna Podolanczuk
- Department of Medicine, College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Eric Hoffman
- Department of Internal Medicine, Carver College of Medicine, University of Iowa, Iowa City, IA, USA
| | - Steven Kawut
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Elizabeth Oelsner
- Department of Medicine, College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - John S Kim
- Department of Medicine, University of Virginia, Charlottesville, VA, USA
| | - Ganesh Raghu
- Department of Medicine, University of Washington, Seattle, WA, USA
| | | | - Susan Redline
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
| | | | - R Graham Barr
- Department of Medicine, College of Physicians and Surgeons, Columbia University, New York, NY, USA.,Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - David J Lederer
- Department of Medicine, College of Physicians and Surgeons, Columbia University, New York, NY, USA.,Regeneron Pharmaceuticals, New York, NY, USA
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Podolanczuk AJ, Oelsner EC, Barr RG, Bernstein EJ, Hoffman EA, Easthausen IJ, Stukovsky KH, RoyChoudhury A, Michos ED, Raghu G, Kawut SM, Lederer DJ. High-Attenuation Areas on Chest Computed Tomography and Clinical Respiratory Outcomes in Community-Dwelling Adults. Am J Respir Crit Care Med 2017; 196:1434-1442. [PMID: 28613921 PMCID: PMC5736977 DOI: 10.1164/rccm.201703-0555oc] [Citation(s) in RCA: 49] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2017] [Accepted: 06/13/2017] [Indexed: 11/16/2022] Open
Abstract
RATIONALE Areas of increased lung attenuation visualized by computed tomography are associated with all-cause mortality in the general population. It is uncertain whether this association is attributable to interstitial lung disease (ILD). OBJECTIVES To determine whether high-attenuation areas are associated with the risk of ILD hospitalization and mortality in the general population. METHODS We performed a cohort study of 6,808 adults aged 45-84 years sampled from six communities in the United States. High-attenuation areas were defined as the percentage of imaged lung volume with attenuation values between -600 and -250 Hounsfield units. An adjudication panel determined ILD hospitalization and death. MEASUREMENTS AND MAIN RESULTS After adjudication, 52 participants had a diagnosis of ILD during 75,232 person-years (median, 12.2 yr) of follow-up. There were 48 hospitalizations attributable to ILD (crude rate, 6.4 per 10,000 person-years). Twenty participants died as a result of ILD (crude rate, 2.7 per 10,000 person-years). High-attenuation areas were associated with an increased rate of ILD hospitalization (adjusted hazard ratio, 2.6 per 1-SD increment in high-attenuation areas; 95% confidence interval, 1.9-3.5; P < 0.001), a finding that was stronger among men, African Americans, and Hispanics. High-attenuation areas were also associated with an increased rate of ILD-specific death (adjusted hazard ratio, 2.3; 95% confidence interval, 1.7-3.0; P < 0.001). Our findings were consistent among both smokers and nonsmokers. CONCLUSIONS Areas of increased lung attenuation are a novel risk factor for ILD hospitalization and mortality. Measurement of high-attenuation areas by screening and diagnostic computed tomography may be warranted in at-risk adults.
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Affiliation(s)
| | | | | | | | - Eric A. Hoffman
- Department of Radiology
- Department of Internal Medicine, and
- Department of Biomedical Engineering, University of Iowa Carver College of Medicine, Iowa City, Iowa
| | | | | | - Arindam RoyChoudhury
- Department of Biostatistics, Columbia University Medical Center, New York, New York
| | - Erin D. Michos
- Division of Cardiology, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland; and
| | - Ganesh Raghu
- Department of Medicine, University of Washington, Seattle, Washington
| | - Steven M. Kawut
- Department of Medicine and
- Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
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