Lilburn, David ML; Garthwaite, Helen S; Ganeshan, Balaji; Win, Thida; Screaton, Nicholas J; Hoy, Luke R; Walls, Darren; ... Porter, Joanna C; + view all Lilburn, David ML; Garthwaite, Helen S; Ganeshan, Balaji; Win, Thida; Screaton, Nicholas J; Hoy, Luke R; Walls, Darren; Endozo, Raymond; Shortman, Robert I; Fraioli, Francesco; Wells, Athol U; Denton, Christopher P; Groves, Ashley M; Porter, Joanna C; - view fewer (2025) [18F]FDG PET/CT Predicts Patient Survival in Patients with Systemic Sclerosis-Associated Interstitial Lung Disease. Journal of Nuclear Medicine , Article jnumed.125.269497. 10.2967/jnumed.125.269497.

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Abstract

There are few effective prognostic biomarkers in patients with systemic sclerosis-associated interstitial lung disease (SSc-ILD). We investigated the potential of [18F]FDG PET/CT to predict mortality in this population. Methods: In total, 45 patients with SSc-ILD (12 men and 33 women; age, 58.9 ± 9.9 y) were prospectively recruited for [18F]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 [18F]FDG PET/CT (SUVmax), minimum pulmonary uptake in unaffected or background lung (SUVmin), and target-to-background ratio (TBR) (SUVmax/SUVmin) were quantified using region-of-interest analysis. Kaplan-Meier analysis identified associations with mortality. Associations between [18F]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 [18F]FDG PET/CT measurements from the ILD-GAP index. Synergies between pulmonary [18F]FDG PET/CT measurements and ILD-GAP index for risk stratification in patients with SSc-ILD were investigated. Results: 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 SUVmax was 3.2 ± 1.1, SUVmin was 0.5 ± 0.3, and TBR was 6.8 ± 2.6. Increased mortality was associated with high pulmonary SUVmax (P = 0.027), high SUVmin (P = 0.002), low TBR (P = 0.016), low forced vital capacity (P = 0.021), low carbon monoxide diffusion coefficient (P = 0.021), low transfer factor (P = 0.012), high ILD-GAP score (P = 0.010), and high ILD-GAP index (P = 0.005). Multivariate Cox regression analysis revealed that pulmonary SUVmin (hazard ratio, 4.2; 95% CI, 1.3-13.4; P = 0.017) and ILD-GAP index (hazard ratio, 3.9; 95% CI, 1.2-12.8; P = 0.024) were the only independent predictors of overall survival. Combining [18F]FDG uptake with ILD-GAP score data in a modified ILD-GAP index refined the ability to predict mortality (P < 0.002). Conclusion: High-background [18F]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 [18F]FDG uptake is associated with increased mortality in patients with SSc-ILD.

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