Evidence map›Paper›PMID 42273108›Full record

ArticleQuantitative imaging in medicine and surgery2026

Evaluation of mid-treatment

Daniel Mills, Phillip Chlap, Allan Fowler, Michael G Jameson, Paul Keall, Daniel Moses, Mark T Lee, Yuvnik Trada

Abstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 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

8 authors.

Daniel MillsDepartment of Radiation Oncology, Calvary Mater Newcastle, Waratah, NSW, Australia.ORCID https://orcid.org/0009-0007-7758-6360
Phillip ChlapDepartment of Radiation Oncology, Cancer Therapy Centre, Liverpool Hospital, Liverpool, NSW, Australia.ORCID https://orcid.org/0000-0002-6517-8745
Allan FowlerDepartment of Radiation Oncology, Cancer Therapy Centre, Liverpool Hospital, Liverpool, NSW, Australia.
Michael G JamesonGenesisCare, Sydney, NSW, Australia.
Paul KeallFaculty of Medicine and Health, Sydney Medical School, The University of Sydney, Sydney, NSW, Australia.ORCID https://orcid.org/0000-0003-4803-6507
Daniel MosesGraduate School of Biomedical Engineering, Faculty of Engineering, University of New South Wales, Sydney, Australia.ORCID https://orcid.org/0000-0001-9404-0035
Mark T LeeDepartment of Radiation Oncology, Cancer Therapy Centre, Liverpool Hospital, Liverpool, NSW, Australia.
Yuvnik TradaDepartment of Radiation Oncology, Calvary Mater Newcastle, Waratah, NSW, Australia.ORCID https://orcid.org/0000-0001-7935-6904

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Oral mucositis is a debilitating yet potentially modifiable toxicity frequently encountered in patients receiving head and neck radiotherapy. This study aimed to evaluate mid-treatment functional changes in the oral cavity using fluorodeoxyglucose positron emission tomography/computed tomography (FDG-PET/CT) and correlate these early imaging findings with moderate-severe mucositis at the completion of radiotherapy in patients with mucosal head and neck squamous cell carcinoma (HNSCC). Methods: A total of 54 patients with newly diagnosed mucosal HNSCC without distant metastases from two prospective imaging biomarker studies received FDG-PET/CT imaging at baseline and mid-treatment (week 3). The oral cavity was volumetrically segmented at baseline on the CT component of the CT-PET, with this volume transferred to mid-treatment imaging. The median standardised uptake value (SUV Results: Forty-six patients (82.1%) developed moderate-severe [Common Terminology Criteria for Adverse Events (CTCAE) grade ≥2] mucositis at completion of treatment. The average oral cavity SUV Conclusions: Our study demonstrated that functional changes in the oral cavity as seen on mid-treatment FDG-PET/CT correlate with development of moderate-severe mucositis at completion of radiotherapy. Integration of this imaging data with clinical variables may enhance mucositis risk prediction, with potential application in the individualisation of head and neck radiotherapy.

Indexed as

Fluorodeoxyglucose positron emission tomography (FDG-PET)mid-treatmentmucositispredictionradiotherapy

Identifiers

PMID42273108
PMCPMC13247882

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.