Evidence map›Paper›PMID 36710364›Full record

ReviewRadiation oncology (London, England)2023

A review of diffusion-weighted magnetic resonance imaging in head and neck cancer patients for treatment evaluation and prediction of radiation-induced xerostomia.

Tai Ermongkonchai, Richard Khor, Morikatsu Wada, Eddie Lau, Daniel Tao Xing, Sweet Ping Ng

Open access · goldAbstract readReview
In one paragraph

Review in Radiation oncology (London, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.0field-weighted citation impact, top 9% of its field
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

11 citing papers in PubMed, 9 citations in OpenAlex.

  1. Trial
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  10. Cancer therapy-related salivary dysfunction.The Journal of clinical investigation · 2024
    Review
  11. The Prognostic and Diagnostic Value of [Journal of clinical medicine · 2023
    Article
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

6 authors at 2 institutions in 1 country.

Tai ErmongkonchaiDepartment of Radiation Oncology, Olivia-Newton John Cancer and Wellness Centre, Austin Health, 145 Studley Road, Heidelberg, Melbourne, VIC, 3084, Australia.
Richard KhorDepartment of Radiation Oncology, Olivia-Newton John Cancer and Wellness Centre, Austin Health, 145 Studley Road, Heidelberg, Melbourne, VIC, 3084, Australia.
Morikatsu WadaDepartment of Radiation Oncology, Olivia-Newton John Cancer and Wellness Centre, Austin Health, 145 Studley Road, Heidelberg, Melbourne, VIC, 3084, Australia.
Eddie LauDepartment of Radiology, Austin Health, Heidelberg, Melbourne, Australia.
Daniel Tao XingDepartment of Radiation Oncology, Olivia-Newton John Cancer and Wellness Centre, Austin Health, 145 Studley Road, Heidelberg, Melbourne, VIC, 3084, Australia.
Sweet Ping NgDepartment of Radiation Oncology, Olivia-Newton John Cancer and Wellness Centre, Austin Health, 145 Studley Road, Heidelberg, Melbourne, VIC, 3084, Australia. sweetping.ng@austin.org.au.ORCID http://orcid.org/0000-0003-1721-0680
Olivia Newton-John Cancer Wellness & Research Centre · AUThe University of Melbourne · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The incidence of head and neck cancers (HNC) is rising worldwide especially with HPV-related oropharynx squamous cell carcinoma. The standard of care for the majority of patients with locally advanced pharyngeal disease is curative-intent radiotherapy (RT) with or without concurrent chemotherapy. RT-related toxicities remain a concern due to the close proximity of critical structures to the tumour, with xerostomia inflicting the most quality-of-life burden. Thus, there is a paradigm shift towards research exploring the use of imaging biomarkers in predicting treatment outcomes. Diffusion-weighted imaging (DWI) is a functional MRI feature of interest, as it quantifies cellular changes through computation of apparent diffusion coefficient (ADC) values. DWI has been used in differentiating HNC lesions from benign tissues, and ADC analyses can be done to evaluate tumour responses to RT. It is also useful in healthy tissues to identify the heterogeneity and physiological changes of salivary glands to better understand the inter-individual differences in xerostomia severity. Additionally, DWI is utilised in irradiated salivary glands to produce ADC changes that correlate to clinical xerostomia. The implementation of DWI into multi-modal imaging can help form prognostic models that identify patients at risk of severe xerostomia, and thus guide timely interventions to mitigate these toxicities.

Indexed as

Head and Neck NeoplasmsRadiation InjuriesXerostomiaDiffusion Magnetic Resonance ImagingHumansMagnetic Resonance ImagingSalivary GlandsDiffusion magnetic resonance imagingHead and neck cancerMagnetic resonance imagingRadiotherapyXerostomia

Identifiers

PMID36710364
PMCPMC9885695
OpenAlexW4318457270

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.