Rationale <p>Effective prognostic biomarkers in Non-specific Interstitial Pneumonitis (NSIP) are limited.</p> Objective <p>To investigate the potential of [<sup>18</sup>F]FDG PET/CT to predict mortality in NSIP and to assess its relationship with physiological indices and the Interstitial Lung Disease – Gender-Age-Physiology (ILD-GAP) score.</p> Methods <p>Ninety-six patients with a multidisciplinary team-confirmed diagnosis of NSIP (40 male, 56 female; mean age 59.8 ± 9.8 years) underwent baseline [<sup>18</sup>F]FDG PET/CT and 83 patients completed full pulmonary function testing. Pulmonary uptake of [<sup>18</sup>F]FDG was quantified using region-of-interest analysis as the maximum uptake in diseased lung (SUV<sub>max</sub>) and the background uptake in visually normal lung (SUV<sub>min</sub>). A target-to-background (TBR) ratio was calculated as SUV<sub>max</sub> /SUV<sub>min</sub>. Kaplan-Meier survival analysis examined associations between the [<sup>18</sup>F]FDG PET/CT metrics, the pulmonary function tests and ILD-GAP scores. Stepwise forward Wald multivariable Cox regression assessed independence of the significant [<sup>18</sup>F]FDG PET/CT parameters from the ILD-GAP index. The modified ILD-GAP (mGAP) models were generated by incorporating the [<sup>18</sup>F]FDG PET/CT data into the ILD-GAP index.</p> Results <p>65 patients died during a mean follow up of 83.2 ± 48.2 months. Mean ± SD SUV<sub>max,</sub> SUV<sub>min</sub> and TBR were 3.2 ± 1.2, 0.6 ± 0.3 and 6.0 ± 2.4, respectively. Mortality was associated with higher SUV<sub>max</sub> (median cutoff ≥ 2.9, <i>p</i> = 0.038) and higher SUV<sub>min</sub> (optimised cutoff ≥ 0.675, <i>p</i> &lt; 0.001), whereas TBR was not prognostic (<i>p</i> = 0.48). Multivariable Cox regression confirmed median SUV<sub>max</sub> as independent of ILD-GAP index (<i>p</i> = 0.031), although optimised SUV<sub>min</sub> was not independent. Incorporating either parameter into a modified ILD-GAP model improved survival stratification compared with ILD-GAP index alone (<i>p</i> &lt; 0.01, log-rank test).</p> Conclusion <p>High pulmonary [<sup>18</sup>F]FDG PET/CT uptake predicts increased mortality in NSIP. Median SUV<sub>max</sub> is an independent predictor of mortality and adding [<sup>18</sup>F]FDG PET/CT parameters to the ILD-GAP index enhances prognostic discrimination. These findings support a disease-specific interpretation of [<sup>18</sup>F]FDG PET/CT metrics in ILD, where SUV<sub>max</sub> and SUV<sub>min</sub> are dominant prognostic markers in diffuse NSIP.</p>

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Pulmonary [18F]FDG uptake demonstrates phenotypic PET behaviour in non-specific interstitial pneumonitis and refines risk stratification

  • Hannah Torlot,
  • Balaji Ganeshan,
  • Thida Win,
  • Helen Garthwaite,
  • Luke R. Hoy,
  • Darren Walls,
  • Raymond Endozo,
  • Robert I. Shortman,
  • Francesco Fraioli,
  • Nicholas J. Screaton,
  • Joanna C. Porter,
  • Ashley M. Groves

摘要

Rationale

Effective prognostic biomarkers in Non-specific Interstitial Pneumonitis (NSIP) are limited.

Objective

To investigate the potential of [18F]FDG PET/CT to predict mortality in NSIP and to assess its relationship with physiological indices and the Interstitial Lung Disease – Gender-Age-Physiology (ILD-GAP) score.

Methods

Ninety-six patients with a multidisciplinary team-confirmed diagnosis of NSIP (40 male, 56 female; mean age 59.8 ± 9.8 years) underwent baseline [18F]FDG PET/CT and 83 patients completed full pulmonary function testing. Pulmonary uptake of [18F]FDG was quantified using region-of-interest analysis as the maximum uptake in diseased lung (SUVmax) and the background uptake in visually normal lung (SUVmin). A target-to-background (TBR) ratio was calculated as SUVmax /SUVmin. Kaplan-Meier survival analysis examined associations between the [18F]FDG PET/CT metrics, the pulmonary function tests and ILD-GAP scores. Stepwise forward Wald multivariable Cox regression assessed independence of the significant [18F]FDG PET/CT parameters from the ILD-GAP index. The modified ILD-GAP (mGAP) models were generated by incorporating the [18F]FDG PET/CT data into the ILD-GAP index.

Results

65 patients died during a mean follow up of 83.2 ± 48.2 months. Mean ± SD SUVmax, SUVmin and TBR were 3.2 ± 1.2, 0.6 ± 0.3 and 6.0 ± 2.4, respectively. Mortality was associated with higher SUVmax (median cutoff ≥ 2.9, p = 0.038) and higher SUVmin (optimised cutoff ≥ 0.675, p < 0.001), whereas TBR was not prognostic (p = 0.48). Multivariable Cox regression confirmed median SUVmax as independent of ILD-GAP index (p = 0.031), although optimised SUVmin was not independent. Incorporating either parameter into a modified ILD-GAP model improved survival stratification compared with ILD-GAP index alone (p < 0.01, log-rank test).

Conclusion

High pulmonary [18F]FDG PET/CT uptake predicts increased mortality in NSIP. Median SUVmax is an independent predictor of mortality and adding [18F]FDG PET/CT parameters to the ILD-GAP index enhances prognostic discrimination. These findings support a disease-specific interpretation of [18F]FDG PET/CT metrics in ILD, where SUVmax and SUVmin are dominant prognostic markers in diffuse NSIP.