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

Abstract Rationale Effective prognostic biomarkers in Non-specific Interstitial Pneumonitis (NSIP) are limited. Objective To investigate the potential of [ 18 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. 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 [ 18 F]FDG PET/CT and 83 patients completed full pulmonary function testing. Pulmonary uptake of [ 18 F]FDG was quantified using region-of-interest analysis as the maximum uptake in diseased lung (SUV max ) and the background uptake in visually normal lung (SUV min ). A target-to-background (TBR) ratio was calculated as SUV max /SUV min . Kaplan-Meier survival analysis examined associations between the [ 18 F]FDG PET/CT metrics, the pulmonary function tests and ILD-GAP scores. Stepwise forward Wald multivariable Cox regression assessed independence of the significant [ 18 F]FDG PET/CT parameters from the ILD-GAP index. The modified ILD-GAP (mGAP) models were generated by incorporating the [ 18 F]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 SUV max, SUV min and TBR were 3.2 ± 1.2, 0.6 ± 0.3 and 6.0 ± 2.4, respectively. Mortality was associated with higher SUV max (median cutoff ≥ 2.9, p = 0.038) and higher SUV min (optimised cutoff ≥ 0.675, p < 0.001), whereas TBR was not prognostic ( p = 0.48). Multivariable Cox regression confirmed median SUV max as independent of ILD-GAP index ( p = 0.031), although optimised SUV min 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 [ 18 F]FDG PET/CT uptake predicts increased mortality in NSIP. Median SUV max is an independent predictor of mortality and adding [ 18 F]FDG PET/CT parameters to the ILD-GAP index enhances prognostic discrimination. These findings support a disease-specific interpretation of [ 18 F]FDG PET/CT metrics in ILD, where SUV max and SUV min are dominant prognostic markers in diffuse NSIP.

Authors

Institutions

Publication Details

Journal
European Journal of Nuclear Medicine and Molecular Imaging
Published
2026-07-25
DOI
https://doi.org/10.1007/s00259-026-08052-5
Primary Topic
Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Darren Walls, Robert I. Shortman, Thida Win, Nick Screaton et al.
European Journal of Nuclear Medicine and Molecular Imaging
Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
article

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

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

Abstract

Abstract Rationale Effective prognostic biomarkers in Non-specific Interstitial Pneumonitis (NSIP) are limited. Objective To investigate the potential of [ 18 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. 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 [ 18 F]FDG PET/CT and 83 patients completed full pulmonary function testing. Pulmonary uptake of [ 18 F]FDG was quantified using region-of-interest analysis as the maximum uptake in diseased lung (SUV max ) and the background uptake in visually normal lung (SUV min ). A target-to-background (TBR) ratio was calculated as SUV max /SUV min . Kaplan-Meier survival analysis examined associations between the [ 18 F]FDG PET/CT metrics, the pulmonary function tests and ILD-GAP scores. Stepwise forward Wald multivariable Cox regression assessed independence of the significant [ 18 F]FDG PET/CT parameters from the ILD-GAP index. The modified ILD-GAP (mGAP) models were generated by incorporating the [ 18 F]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 SUV max, SUV min and TBR were 3.2 ± 1.2, 0.6 ± 0.3 and 6.0 ± 2.4, respectively. Mortality was associated with higher SUV max (median cutoff ≥ 2.9, p = 0.038) and higher SUV min (optimised cutoff ≥ 0.675, p < 0.001), whereas TBR was not prognostic ( p = 0.48). Multivariable Cox regression confirmed median SUV max as independent of ILD-GAP index ( p = 0.031), although optimised SUV min 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 [ 18 F]FDG PET/CT uptake predicts increased mortality in NSIP. Median SUV max is an independent predictor of mortality and adding [ 18 F]FDG PET/CT parameters to the ILD-GAP index enhances prognostic discrimination. These findings support a disease-specific interpretation of [ 18 F]FDG PET/CT metrics in ILD, where SUV max and SUV min are dominant prognostic markers in diffuse NSIP.

European Journal of Nuclear Medicine and Molecular Imaging
University College Hospital (GB), University College London Hospitals NHS Foundation Trust (GB), Royal Papworth Hospital (GB), Lister Hospital (GB), UCL Biomedical Research Centre (GB), The London College (GB), University College London (GB)
National Institute for Health and Care Research, University College London Hospitals NHS Foundation Trust
Good health and well-being
Openalex Percentile: Top 9%
Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.