Evidence map›Paper›PMID 40894268›Full record

ArticlePhysics and imaging in radiation oncology2025

Exploring hypoxia in head and neck cancer through blood perfusion and metabolism using dual-energy computed tomography and positron emission tomography.

Jens Edmund, Christian Maare, Henriette Klitgaard Mortensen, Kristin Skougaard, Camilla Kjaer Lonkvist, Laura Ann Rechner

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Article in Physics and imaging in radiation oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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.

2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Jens EdmundDepartment of Oncology, Herlev & Gentofte Hospital, Herlev, Denmark.
Christian MaareDepartment of Oncology, Herlev & Gentofte Hospital, Herlev, Denmark.
Henriette Klitgaard MortensenDepartment of Oncology, Herlev & Gentofte Hospital, Herlev, Denmark.
Kristin SkougaardDepartment of Oncology, University Hospital Roskilde, SUH, Denmark.
Camilla Kjaer LonkvistDepartment of Oncology, Herlev & Gentofte Hospital, Herlev, Denmark.
Laura Ann RechnerDepartment of Oncology, Herlev & Gentofte Hospital, Herlev, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and purpose: Hypoxia for head and neck cancer (HNC) can be imaged with positron emission tomography (PET) using Materials and methods: Corresponding DECT, FAZA, and FDG PET/CT for 6 HNC patients before and during RT were acquired. A FAZA tumor-to-muscle (TMR) ratio ≥1.2 was used for hypoxic classification. Within the gross tumor volume (GTV), the IC standard deviation over mean ratio, Results: ROC curves improved with AUC around 0.9 when combining the blood perfusion and metabolism metrics. GTVs with high metabolic activity and and low modelled blood perfusion was dominated by hypoxic fractions >0.75 supporting the CSH model. Conclusions: Combining blood perfusion and metabolism modelled from DECT and FDG PET derived metrics resulted in a superior predictive power as potential hypoxia biomarkers which might be explained by a CSH model.

Indexed as

Dual-energy computed tomographyFluoroazomycin-arabinoside (FAZA)Fluorodeoxyglucose (FDG)Head and neck cancerHypoxiaPositron emission tomographyRadiotherapy

Identifiers

PMID40894268
PMCPMC12395511

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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.