ArticleAmerican journal of nuclear medicine and molecular imaging2020
Utility of FDG-PET/CT in clinical psoriasis grading: the PET-PASI scoring system.
Article in American journal of nuclear medicine and molecular imaging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01553058 (A Trial to Determine the Effect of Psoriasis Treatment on Cardiometabolic Disease), which is not on this map. Cited by 7 papers.
What it found
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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.
A Trial to Determine the Effect of Psoriasis Treatment on Cardiometabolic Disease
Who cites it
7 citing papers in PubMed.
- Cardiovascular Imaging in Psoriasis: A Critical Review of Current Evidence, Techniques, and Therapeutic Implications.American journal of clinical dermatology · 2026Review
- The Impact of Targeted Therapies on the Bone-Vascular Axis in Psoriasis: A Narrative Review.Clinical, cosmetic and investigational dermatology · 2026Review
- Virtual cutaneous area severity index (vCASI): A comprehensive methodology for quantitative skin disease assessment on positron emission tomography images.European journal of nuclear medicine and molecular imaging · 2025Article
- Disease modification in inflammatory skin disorders: opportunities and challenges.Nature reviews. Drug discovery · 2023Review
- The role ofAnnals of nuclear medicine · 2023Review
- Total-BodyJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2022Observational
- Imaging of the nail unit in psoriatic patients:A systematic scoping review of techniques and terminology.Experimental dermatology · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Psoriatic skin lesions are metabolically active, which makes them candidates for imaging with 18-F fluorodeoxyglucose positron emission tomography/computed tomography (FDG-PET/CT). The aim of our study was to correlate FDG-PET findings with Psoriasis Area and Severity Index (PASI) scores, the most widely-used grading system for psoriasis. Thirty-three subjects and a total of 84 FDG-PET/CT scans from a prospective clinical trial [NCT01553058] with >2 months moderate-to-severe psoriasis were included. Subjects underwent whole-body FDG-PET/CT imaging 60 min after intravenous FDG administration, prior to the start of treatment. Scans were repeated 12 weeks and 52 weeks after baseline scans were conducted and after treatment or placebo administration was initiated. Each subject and scan was graded by our "PET-PASI" scoring system, a qualitative review of multi-plane reconstructions for both attenuation-corrected (AC) and non-attenuation-corrected (NAC) PET images. PASI and PET-PASI scores were correlated using Spearman's rho analysis. Our study demonstrated a significant positive correlation between each subject's corresponding PET-PASI and PASI scores before and during treatment or placebo administration (r=0.53, P<0.001). We also found positive correlations between PET-PASI and PASI scores across different regions of the body (head and neck: r=0.22, upper extremities: r=0.26, trunk: r=0.48, and lower extremities: r=0.58). In conclusion, AC and NAC FDG-PET/CT images may be utilized to evaluate lesions in subjects with moderate-to-severe psoriasis. Our methodology could have future implications in the diagnosis and therapeutic management of psoriasis.
Indexed as
Identifiers
33224623PMC7675113What OpenQuestion holds
Registered trials
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.