[<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.

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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
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article
Field-Weighted Citation Impact
1.47
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article

[18F]FDG PET/CT Predicts Patient Survival in Patients with Systemic Sclerosis–Associated Interstitial Lung Disease

Darren Walls, Robert I. Shortman, Thida Win, Ashley M. Groves et al.
1 citations
Journal of Nuclear Medicine
Systemic Sclerosis and Related Diseases
1.47
article

[18F]FDG PET/CT Predicts Patient Survival in Patients with Systemic Sclerosis–Associated Interstitial Lung Disease

Darren Walls, Robert I. Shortman, Thida Win, Ashley M. Groves, Francesco Fraioli, David M.L. Lilburn, Raymond Endozo, Joanna C. Porter, Balaji Ganeshan, Luke Hoy, Athol U. Wells, Helen Garthwaite, Christopher P. Denton, Nicholas Screaton
article en
1 citations

Abstract

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.

Journal of Nuclear MedicineVol. 66(7)
University College Hospital (GB), British Society for Rheumatology (GB), University College London (GB)
Openalex Percentile: Top 19%
Systemic Sclerosis and Related Diseases
1.47
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