ArticleEJNMMI research2024
Localized FDG loss in lung cancer lesions.
Article in EJNMMI research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02475382 (Expanded Access Program With Nivolumab Monotherapy in Subjects With Advanced or Metastatic Squamous), which is not on this map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Expanded Access Program With Nivolumab Monotherapy in Subjects With Advanced or Metastatic Squamous (Sq) or Non-Squamous (Non-Sq) Non-Small Cell Lung Cancer (NSCLC) Who Have Received at Least One Prior Systemic Regimens for the Treatment of Stage IIIb/IV SqNSCLC
Who cites it
2 citing papers in PubMed.
- Dynamic whole-body positron emission tomography/computed tomography for predicting treatment response to chemoradiotherapy in patients with esophageal cancer.Oncology letters · 2025Article
- Model selection for dynamic PET compartmental modelling ofEJNMMI research · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
backgroundAnalysis of [18F]-Fluorodeoxyglucose (FDG) kinetics in cancer has been most often limited to the evaluation of the average uptake over relatively large volumes. Nevertheless, tumor lesions also contain inflammatory infiltrates whose cells are characterized by a significant radioactivity washout due to the hydrolysis of FDG-6P catalyzed by glucose-6P phosphatase. The present study aimed to verify whether voxel-wise compartmental analysis of dynamic imaging can identify tumor regions characterized by tracer washout. The study included 11 patients with lung cancer submitted to PET/CT imaging for staging purposes. Tumour was defined by drawing a volume of interest loosely surrounding the lesion and considering all inside voxels with a standardized uptake value (SUV) > 40% of the maximum. Eight whole-body scans were repeated after 20 min of dynamic imaging centered on the heart. Six parametric maps were generated progressively by computing a Patlak regression line for each voxel. Each analysis considered a different set of frames: starting with all eight frames, then the last seven frames, and so on, down to the last three frames.
resultsDelaying the starting point of the compartmental analysis revealed a progressive increase in the prevalence of voxels with a negative slope. In the most delayed parametric map, these voxels represented 0.5-4.5% (median 2%) of the tumor volume. This effect was independent of tumor size and was predominantly located at the lesion borders.
conclusionsThe voxel-wise parametric maps provided by compartmental analysis identify a measurable volume characterized by radioactivity washout. The spatial localization of this pattern is compatible with the recognized preferential site of inflammatory infiltrates populating the tumor stroma and might improve the power of FDG imaging in monitoring the effectiveness of treatments aimed at empowering the host immune response against cancer.
trial registrationClinicalTrials. The study was approved by the local ethical committee and it represented a single Institution ancillary trial within the expanded-access program for Nivolumab. NCT02475382. Registered 2015-06-16. URL: https://clinicaltrials.gov/study/NCT02475382?id=NCT02475382.&rank=1.
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