Evidence map›Paper›PMID 41821442›Full record

ArticleRadiation protection dosimetry2026

Impact of local tumor-to-background uptake ratio on PET metabolic response assessment.

Esmaeil Mehrara, Mariam Mohamed, Martijn Van-Essen, Jesus Lopez Urdaneta

Abstract read
In one paragraph

Article in Radiation protection dosimetry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Esmaeil MehraraDepartment of Medical Physics and Biomedical Engineering, Sahlgrenska University Hospital, Blå stråket 5, målpunk G, plan 1, SE-413 45, Gothenburg, Sweden.ORCID 0009-0006-9432-6280
Mariam MohamedDepartment of Medical Radiation Sciences, Gothenburg University, Radiofysikhuset, Gula stråket 2B, Sahlgrenska universitetssjukhuset, SE-413 45, Gothenburg, Sweden.
Martijn Van-EssenDepartment of Clinical Physiology, Sahlgrenska University Hospital, Blå stråket 5, målpunk G, plan 1A, SE-413 45, Gothenburg, Sweden.
Jesus Lopez UrdanetaDepartment of Clinical Physiology, Sahlgrenska University Hospital, Blå stråket 5, målpunk G, plan 1A, SE-413 45, Gothenburg, Sweden.

Funding

King Gustav V Jubilee Clinic Cancer Research Foundation 2022:420Swedish government and the county councils-the ALF-agreement
6 · The paper itself

Abstract

Positron Emission Tomography Response Criteria in Solid Tumors (PERCIST) quantifies changes in radiotracer uptake to assess therapeutic response in cancer. However, the accuracy of these quantifications depends on imaging parameters, tumor size, and the local tumor-to-background uptake ratio (local-TBR). In this study, 'background' refers to the surroundings of the lesion rather than a standardized reference tissue. A NEMA Image Quality phantom was filled with 18F-FDG at varying sphere-to-background ratios to simulate clinical scenarios corresponding to PERCIST-defined thresholds for partial metabolic response (-30%) and progressive metabolic disease (+30%). Positron emission tomography (PET)/computed tomography imaging revealed that measured uptake changes systematically underestimated the true ±30% differences, particularly in smaller spheres. These findings indicate a potential source of systematic error in PET-based tumor response assessment, which may influence clinical interpretation. Further studies are recommended to investigate the effects of varying imaging parameters, tumor types, and clinical settings to improve the robustness of PERCIST-based evaluations.

Indexed as

Fluorodeoxyglucose F18NeoplasmsPositron-Emission TomographyPositron Emission Tomography Computed TomographyRadiopharmaceuticalsHumansPhantoms, ImagingFluorodeoxyglucose F18Radiopharmaceuticals

Identifiers

PMID41821442
PMCPMC13046048

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Registered trials

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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.