Evidence map›Paper›PMID 40890739›Full record

ArticleRadiation oncology (London, England)2025

Surrogating tumour cell density in head and neck cancer: [

Athanasios Kafkaletos, Ilias Sachpazidis, Michael Mix, Montserrat Carles, Raluca Stoian, Henning Schäfer, Michael Bock, Dimos Baltas, Anca L Grosu

Abstract readComparative Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Radiation oncology (London, England), 2025. 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

9 authors.

Athanasios Kafkaletos *Division of Medical Physics, Department of Radiation Oncology, Medical Centre - University of Freiburg, Medical Faculty - University of Freiburg, German Cancer Consortium (DKTK), partner site DKTK-Freiburg, Freiburg im Breisgau, Germany. athanasios.kafkaletos@uniklinik-freiburg.de.
Ilias Sachpazidis *Division of Medical Physics, Department of Radiation Oncology, Medical Centre - University of Freiburg, Medical Faculty - University of Freiburg, German Cancer Consortium (DKTK), partner site DKTK-Freiburg, Freiburg im Breisgau, Germany.
Michael MixDepartment of Nuclear Medicine, Medical Faculty, Medical Centre - University of Freiburg, University of Freiburg, German Cancer Consortium (DKTK), partner site DKTK-Freiburg, Freiburg im Breisgau, Germany.
Montserrat CarlesBiomedical Imaging Research Group (GIBI230-PREBI) and Imaging La Fe Node at Distributed Network for Biomedical Imaging (ReDIB), Unique Scientific and Technical Infrastructures (ICTS), La Fe Health Research Institute, Valencia, Spain.
Raluca StoianDepartment of Radiation Oncology, Medical Centre - University of Freiburg, Medical Faculty - University of Freiburg, German Cancer Consortium (DKTK), partner site DKTK-Freiburg, Freiburg im Breisgau, Germany.
Henning SchäferDepartment of Radiation Oncology, Medical Centre - University of Freiburg, Medical Faculty - University of Freiburg, German Cancer Consortium (DKTK), partner site DKTK-Freiburg, Freiburg im Breisgau, Germany.
Michael BockDepartment of Radiology, Medical Centre - University of Freiburg, Medical Faculty - University of Freiburg, German Cancer Consortium (DKTK), partner site DKTK-Freiburg, Freiburg im Breisgau, Germany.
Dimos Baltas *Division of Medical Physics, Department of Radiation Oncology, Medical Centre - University of Freiburg, Medical Faculty - University of Freiburg, German Cancer Consortium (DKTK), partner site DKTK-Freiburg, Freiburg im Breisgau, Germany.
Anca L Grosu *Department of Radiation Oncology, Medical Centre - University of Freiburg, Medical Faculty - University of Freiburg, German Cancer Consortium (DKTK), partner site DKTK-Freiburg, Freiburg im Breisgau, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveIn this study we examined the correlation between standardized uptake value (SUV) of [

methodsTwenty-one HNSCC patients from a prospective FMISO imaging trial underwent pre-treatment PET/CT and MRI. We assessed correlations between FDG SUV (mean, max) and ADC (mean, min) within the GTV using Pearson's correlation coefficient. The tumor cell density within the GTV was calculated from FDG SUV and from ADC maps. For the estimation of ADC-based cell density, we used a published tumor cell volume fraction (v

resultsThe SUV and ADC metrics showed up to moderate negative correlations, but none of them were statistically significant at p < 0.05. The correlation of SUV

conclusionADC and SUV metrics exhibited moderate but marginally insignificant correlation in this dataset. Although not directly interchangeable, the two methods provide comparable, clinically relevant cell density estimates, offering flexibility to use the most accessible modality for individualized treatment planning.

trial registrationRegistered at German Clinical Trials Register on 20/08/2015 (DRKS00003830).

Indexed as

Diffusion Magnetic Resonance ImagingFluorodeoxyglucose F18Head and Neck NeoplasmsMagnetic Resonance ImagingPositron-Emission TomographyPositron Emission Tomography Computed TomographyRadiopharmaceuticalsSquamous Cell Carcinoma of Head and NeckAdultAgedFemaleHumansMaleMiddle AgedProspective StudiesTumor BurdenFluorodeoxyglucose F18RadiopharmaceuticalsADCCell densityFDGHNSCC

Identifiers

PMID40890739
PMCPMC12403412

What OpenQuestion holds

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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.