[<sup>18</sup>F]FDG PET/CT Predicts Patient Survival in Patients with Systemic Sclerosis–Associated Interstitial Lung Disease
There are few effective prognostic biomarkers in patients with systemic sclerosis-associated interstitial lung disease (SSc-ILD). We investigated the potential of [<sup>18</sup>F]FDG PET/CT to predict mortality in this population. <b>Methods:</b> In total, 45 patients with SSc-ILD (12 men and 33 women; age, 58.9 ± 9.9 y) were prospectively recruited for [<sup>18</sup>F]FDG PET/CT, forming the largest cohort of this type to our knowledge. All patients underwent clinical assessment, including multidisciplinary team review, high-resolution CT evaluation, and pulmonary function tests. The maximum pulmonary uptake on [<sup>18</sup>F]FDG PET/CT (SUV<sub>max</sub>), minimum pulmonary uptake in unaffected or background lung (SUV<sub>min</sub>), and target-to-background ratio (TBR) (SUV<sub>max</sub>/SUV<sub>min</sub>) were quantified using region-of-interest analysis. Kaplan-Meier analysis identified associations with mortality. Associations between [<sup>18</sup>F]FDG PET/CT measurements, pulmonary function tests, and the established model based on sex, age, and lung physiology (known as ILD-GAP) to predict mortality were performed. Stepwise forward Wald-Cox analysis assessed the independence of significant [<sup>18</sup>F]FDG PET/CT measurements from the ILD-GAP index. Synergies between pulmonary [<sup>18</sup>F]FDG PET/CT measurements and ILD-GAP index for risk stratification in patients with SSc-ILD were investigated. <b>Results:</b> Forty-five patients with SSc-ILD were followed for a mean of 44.8 ± 26.1 mo, with 15 deaths (33%) recorded. The mean ± SD SUV<sub>max</sub> was 3.2 ± 1.1, SUV<sub>min</sub> was 0.5 ± 0.3, and TBR was 6.8 ± 2.6. Increased mortality was associated with high pulmonary SUV<sub>max</sub> (<i>P</i> = 0.027), high SUV<sub>min</sub> (<i>P</i> = 0.002), low TBR (<i>P</i> = 0.016), low forced vital capacity (<i>P</i> = 0.021), low carbon monoxide diffusion coefficient (<i>P</i> = 0.021), low transfer factor (<i>P</i> = 0.012), high ILD-GAP score (<i>P</i> = 0.010), and high ILD-GAP index (<i>P</i> = 0.005). Multivariate Cox regression analysis revealed that pulmonary SUV<sub>min</sub> (hazard ratio, 4.2; 95% CI, 1.3-13.4; <i>P</i> = 0.017) and ILD-GAP index (hazard ratio, 3.9; 95% CI, 1.2-12.8; <i>P</i> = 0.024) were the only independent predictors of overall survival. Combining [<sup>18</sup>F]FDG uptake with ILD-GAP score data in a modified ILD-GAP index refined the ability to predict mortality (<i>P</i> < 0.002). <b>Conclusion:</b> High-background [<sup>18</sup>F]FDG uptake in normal-appearing lung independently predicts overall survival in SSc-ILD and may stratify patients' risk when combined with ILD-GAP score data in a modified ILD-GAP index. High pulmonary [<sup>18</sup>F]FDG uptake is associated with increased mortality in patients with SSc-ILD.
Authors
- Darren Walls (ORCID: https://orcid.org/0009-0009-3555-3135)
- Robert I. Shortman (ORCID: https://orcid.org/0000-0003-4657-6235)
- Thida Win (ORCID: https://orcid.org/0000-0003-2103-9097)
- Ashley M. Groves
- Francesco Fraioli (ORCID: https://orcid.org/0000-0003-0821-6327)
- David M.L. Lilburn
- Raymond Endozo (ORCID: https://orcid.org/0000-0001-6866-4784)
- Joanna C. Porter (ORCID: https://orcid.org/0000-0002-7307-169X)
- Balaji Ganeshan (ORCID: https://orcid.org/0000-0002-1386-0531)
- Luke Hoy
- Athol U. Wells (ORCID: https://orcid.org/0000-0003-2108-6248)
- Helen Garthwaite
- Christopher P. Denton
- Nicholas Screaton
Institutions
- University College Hospital (GB)
- British Society for Rheumatology (GB)
- University College London (GB)
Publication Details
- Journal
- Journal of Nuclear Medicine
- Published
- 2025-05-29
- DOI
- https://doi.org/10.2967/jnumed.125.269497
- Citations
- 1
- Primary Topic
- Systemic Sclerosis and Related Diseases
- Type
- article
- Field-Weighted Citation Impact
- 1.47