Evidence map›Paper›PMID 36143386›Full record

ArticleLife (Basel, Switzerland)2022

Can Dynamic Whole-Body FDG PET Imaging Differentiate between Malignant and Inflammatory Lesions?

Stephan Skawran, Michael Messerli, Fotis Kotasidis, Josephine Trinckauf, Corina Weyermann, Ken Kudura, Daniela A Ferraro, Janique Pitteloud, Valerie Treyer, Alexander Maurer and 2 more

Open access · goldAbstract read
In one paragraph

Article in Life (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
3.6field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Discriminating inflammation from malignancy with short-dynamic patlak parametric 18 F-FDG PET/CT.European journal of nuclear medicine and molecular imaging · 2026
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  14. The role of dynamic, static, and delayed total-body PET imaging in the detection and differential diagnosis of oncological lesions.Cancer imaging : the official publication of the International Cancer Imaging Society · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 2 institutions in 1 country.

Stephan SkawranDepartment of Nuclear Medicine, University Hospital Zurich, 8091 Zurich, Switzerland.ORCID 0000-0003-2721-9726
Michael MesserliDepartment of Nuclear Medicine, University Hospital Zurich, 8091 Zurich, Switzerland.
Fotis KotasidisGE Healthcare, Waukesha, WI 53188, USA.
Josephine TrinckaufDepartment of Nuclear Medicine, University Hospital Zurich, 8091 Zurich, Switzerland.
Corina WeyermannDepartment of Nuclear Medicine, University Hospital Zurich, 8091 Zurich, Switzerland.
Ken KuduraDepartment of Nuclear Medicine, University Hospital Zurich, 8091 Zurich, Switzerland.
Daniela A FerraroDepartment of Nuclear Medicine, University Hospital Zurich, 8091 Zurich, Switzerland.ORCID 0000-0001-5707-3161
Janique PitteloudDepartment of Nuclear Medicine, University Hospital Zurich, 8091 Zurich, Switzerland.
Valerie TreyerDepartment of Nuclear Medicine, University Hospital Zurich, 8091 Zurich, Switzerland.ORCID 0000-0002-4584-3031
Alexander MaurerDepartment of Nuclear Medicine, University Hospital Zurich, 8091 Zurich, Switzerland.ORCID 0000-0002-6964-802X
Martin W HuellnerDepartment of Nuclear Medicine, University Hospital Zurich, 8091 Zurich, Switzerland.ORCID 0000-0002-4849-3292
Irene A BurgerDepartment of Nuclear Medicine, University Hospital Zurich, 8091 Zurich, Switzerland.ORCID 0000-0001-8029-8692
University of Zurich · CHUniversity Hospital of Zurich · CH

Funding

Alfred and Annemarie von Sick legacy for translational and clinical cardiac and oncological research n/aCoordenação de Aperfeiçoamento de Pessoal de Nível Superior-Brasil (CAPES) n/aCRPP AI Oncological Imaging Network of the University of Zurich, Switzerland n/aHuggenberger-Bischoff Foundation n/aIten-Kohout-Foundation, Switzerland n/aJimmy Wirth Foundation n/aPalatin-Foundation, Switzerland n/a
6 · The paper itself

Abstract

Background: Investigation of the clinical feasibility of dynamic whole-body (WB) [18F]FDG PET, including standardized uptake value (SUV), rate of irreversible uptake (Ki), and apparent distribution volume (Vd) in physiologic tissues, and comparison between inflammatory/infectious and cancer lesions. Methods: Twenty-four patients were prospectively included to undergo dynamic WB [18F]FDG PET/CT for clinically indicated re-/staging of oncological diseases. Parametric maps of Ki and Vd were generated using Patlak analysis alongside SUV images. Maximum parameter values (SUVmax, Kimax, and Vdmax) were measured in liver parenchyma and in malignant or inflammatory/infectious lesions. Lesion-to-background ratios (LBRs) were calculated by dividing the measurements by their respective mean in the liver tissue. Results: Seventy-seven clinical target lesions were identified, 60 malignant and 17 inflammatory/infectious. Kimax was significantly higher in cancer than in inflammatory/infections lesions (3.0 vs. 2.0, p = 0.002) while LBRs of SUVmax, Kimax, and Vdmax did not differ significantly between the etiologies: LBR (SUVmax) 3.3 vs. 2.9, p = 0.06; LBR (Kimax) 5.0 vs. 4.4, p = 0.05, LBR (Vdmax) 1.1 vs. 1.0, p = 0.18). LBR of inflammatory/infectious and cancer lesions was higher in Kimax than in SUVmax (4.5 vs. 3.2, p < 0.001). LBRs of Kimax and SUVmax showed a strong correlation (Spearman’s rho = 0.83, p < 0.001). Conclusions: Dynamic WB [18F]FDG PET/CT is feasible in a clinical setting. LBRs of Kimax were higher than SUVmax. Kimax was higher in malignant than in inflammatory/infectious lesions but demonstrated a large overlap between the etiologies.

Indexed as

dynamic whole-body positron emission tomographyFDG PET/CTfluorodeoxyglucoseinfectionmolecular imagingoncologic imagingPatlak

Identifiers

PMID36143386
PMCPMC9501027
OpenAlexW4293773697

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.