BMC Pulmonary Medicine (Sep 2021)

18F-FDG PET/CT predicts acute exacerbation in idiopathic pulmonary fibrosis after thoracic surgery

  • Hee-Young Yoon,
  • Suk Hyun Lee,
  • Sejin Ha,
  • Jin-Sook Ryu,
  • Jin Woo Song

DOI
https://doi.org/10.1186/s12890-021-01659-4
Journal volume & issue
Vol. 21, no. 1
pp. 1 – 8

Abstract

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Abstract Background Acute exacerbation (AE) is the most lethal postoperative complication in idiopathic pulmonary fibrosis (IPF); however, prediction before surgery is difficult. We investigated the role of 18F-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) in predicting postoperative AE in IPF. Method Clinical data of 48 IPF patients who underwent 18F-FDG PET/CT before thoracic surgery were retrospectively analyzed. Mean and maximal standardized uptake values (SUVmean and SUVmax, respectively) were measured in the fibrotic area. Additionally, adjusted values-SUV ratio (SUVR, defined as SUVmax-to-liver SUVmean ratio), tissue fraction-corrected SUVmean (SUVmeanTF), and SUVR (SUVRTF)-were calculated. Results The mean age of the subjects was 67.8 years and 91.7% were male. After thoracic surgery, 21 (43.8%) patients experienced postoperative complications including prolonged air leakage (29.2%), death (14.6%), and AE (12.5%) within 30 days. Patients who experienced AE showed higher SUVmax, SUVR, SUVmeanTF, and SUVRTF than those who did not, but other clinical parameters were not different between patients with and without AE. The SUV parameters did not differ for other complications. The SUVR (odds ratio [OR] 29.262; P = 0.030), SUVmeanTF (OR 3.709; P = 0.041) and SUVRTF (OR 20.592; P = 0.017) were significant predicting factors for postoperative AE following a multivariate logistic regression analysis. On receiver operating characteristics curve analysis, SUVRTF had the largest area under the curve (0.806, P = 0.007) for predicting postoperative AE among SUV parameters. Conclusions Our findings suggest that 18F-FDG PET/CT may be useful in predicting postoperative AE in IPF patients and among SUVs, SUVRTF is the best parameter for predicting postoperative AE in IPF patients.

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