Publication

Pre-radiotherapy FDG PET predicts radiation pneumonitis in lung cancer

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Last modified
  • 05/21/2025
Type of Material
Authors
    Richard Castillo, Emory UniversityNgoc Pham, University of Texas HoustonSobiya Ansari, University of Texas MD AndersonDmitriy Meshkov, University of Texas HoustonSarah Castillo, University of Texas MD AndersonMin Li, University of Texas MD AndersonAdenike Olanrewaju, University of Texas MD AndersonBrian Hobbs, University of Texas MD AndersonEdward Castillo, University of Texas MD AndersonThomas Guerrero, University of Texas Houston
Language
  • English
Date
  • 2014-03-13
Publisher
  • BMC (part of Springer Nature)
Publication Version
Copyright Statement
  • © 2014 Castillo et al.; licensee BioMed Central Ltd.
License
Final Published Version (URL)
Title of Journal or Parent Work
ISSN
  • 1748-717X
Volume
  • 9
Issue
  • 1
Start Page
  • 74
End Page
  • 74
Grant/Funding Information
  • This work was partially funded by the National Institutes of Health through a National Cancer Institute Grant R21CA141833 and through an NIH Director’s New Innovator Award DP2OD007044.
  • RC was partially supported by an NIH Research Scientist Development Award K01CA181292.
Abstract
  • Background: A retrospective analysis is performed to determine if pre-treatment [18 F]-2-fluoro-2-deoxyglucose positron emission tomography/computed tomography (FDG PET/CT) image derived parameters can predict radiation pneumonitis (RP) clinical symptoms in lung cancer patients. Methods and Materials: We retrospectively studied 100 non-small cell lung cancer (NSCLC) patients who underwent FDG PET/CT imaging before initiation of radiotherapy (RT). Pneumonitis symptoms were evaluated using the Common Terminology Criteria for Adverse Events version 4.0 (CTCAEv4) from the consensus of 5 clinicians. Using the cumulative distribution of pre-treatment standard uptake values (SUV) within the lungs, the 80th to 95th percentile SUV values (SUV80 to SUV95) were determined. The effect of pre-RT FDG uptake, dose, patient and treatment characteristics on pulmonary toxicity was studied using multiple logistic regression. Results: The study subjects were treated with 3D conformal RT (n = 23), intensity modulated RT (n = 64), and proton therapy (n = 13). Multiple logistic regression analysis demonstrated that elevated pre-RT lung FDG uptake on staging FDG PET was related to development of RP symptoms after RT. A patient of average age and V30 with SUV95 = 1.5 was an estimated 6.9 times more likely to develop grade ≥ 2 radiation pneumonitis when compared to a patient with SUV95 = 0.5 of the same age and identical V30. Receiver operating characteristic curve analysis showed the area under the curve was 0.78 (95% CI = 0.69 - 0.87). The CT imaging and dosimetry parameters were found to be poor predictors of RP symptoms. Conclusions: The pretreatment pulmonary FDG uptake, as quantified by the SUV95, predicted symptoms of RP in this study. Elevation in this pre-treatment biomarker identifies a patient group at high risk for post-treatment symptomatic RP.
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Keywords
Research Categories
  • Health Sciences, Radiology
  • Health Sciences, Oncology

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