Evidence map›Paper›PMID 38536488›Full record

ArticleDysphagia2024

The Quantification of Radiation Fibrosis Using Clinically Indicated Magnetic Resonance Imaging for Head and Neck Cancer Patients.

Zhiyao Che, Aamir Suhail, Nicolin Hainc, Aliaa Sabry, Eugene Yu, Wei Xu, David Goldstein, John Waldron, Shao Hui Huang, Rosemary Martino

Abstract read
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In one paragraph

Article in Dysphagia, 2024. 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
1.7field-weighted citation impact, top 17% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

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

10 authors at 3 institutions in 3 countries.

Zhiyao CheRehabilitation Sciences Institute, University of Toronto, Toronto, ON, Canada.
Aamir SuhailMedical Imaging, University Health Network, Toronto, ON, Canada.
Nicolin HaincMedical Imaging, University Health Network, Toronto, ON, Canada.
Aliaa SabryThe Swallowing Lab, University of Toronto, Swallowing Lab 160-500 University Avenue Toronto, Toronto, ON, M5G 1V7, Canada.
Eugene YuMedical Imaging, University Health Network, Toronto, ON, Canada.
Wei XuBiostatistics, University of Toronto, Toronto, ON, Canada.
David GoldsteinOtolaryngology-Head & Neck Surgery, University Health Network, Toronto, ON, Canada.
John WaldronRadiation Oncology, Princess Margaret Cancer Centre, Toronto, ON, Canada.
Shao Hui HuangRadiation Oncology, Princess Margaret Cancer Centre, Toronto, ON, Canada.
Rosemary MartinoRehabilitation Sciences Institute, University of Toronto, Toronto, ON, Canada. rosemary.martino@utoronto.ca.ORCID 0000-0002-3298-7714
University Health Network · CAUniversity of Toronto · CADalhousie University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Currently, no objective method exists to measure the extent of fibrosis in swallowing musculature in head and neck cancer (HNC) patients. We developed and psychometrically tested a method of quantifying fibrosis volume using magnetic resonance imaging (MRI). The overall aim of this study was to determine if clinical MRI is a reliable tool to measure fibrosis of the pharyngeal musculature in patients with HNC managed with RT and to assess its potential to capture changes in fibrosis over time. Eligible participants were adults with HNC treated with radiation therapy (RT) who received minimally two MRIs and videofluoroscopic swallow (VFS) studies from baseline (pre-RT) up to 1-year post-RT. Two neuroradiologists independently contoured fibrosis volume in batches from MRIs using Vitrea™. Sufficient inter-rater reliability was set at Intraclass Correlation Coefficient (ICC) > 0.75. Two speech-language pathologists independently rated VFSs for swallowing impairment using standardized scales, with discrepancies resolved by consensus. MRI and VFS scores were correlated using Spearman's rank coefficient. Participants included 42 adults (male = 33); mean age 59 (SD = 8.8). ICC (95% Confidence Interval) for fibrosis volume was 0.34 (0, 0.76) for batch one and 0.43 (0, 0.82) for batch two. Consensus meetings were held after each batch. Sufficient reliability was reached by batch three (ICC = 0.95 (0.79, 0.99)). Fibrosis volume increased significantly from 3 to 12 months (mean change = 1.28 mL (SD = 5.21), p = 0.006), as did pharyngeal impairment from baseline to 12 months (mean score change = 3.05 (SD = 3.02), p = 0.003). Fibrosis volume moderately correlated with pharyngeal impairment at 3 and 12 months (0.49, p = 0.004 and 0.59, p = 0.005, respectively). We demonstrated a reliable measure of fibrosis volume in swallowing musculature from existing clinical MRIs and identified that larger fibrosis volume was associated with worse swallowing function. The reliable capture of fibrosis volume offers a pragmatic method for early detection of fibrosis and concomitant dysphagia.

Indexed as

Deglutition DisordersFibrosisHead and Neck NeoplasmsMagnetic Resonance ImagingAgedDeglutitionFemaleFluoroscopyHumansMaleMiddle AgedPharyngeal MusclesRadiation InjuriesReproducibility of ResultsDysphagiaMagnetic Resonance ImagingRadiation FibrosisReliabilityVideofluoroscopy

Identifiers

PMID38536488
OpenAlexW4393234061

What OpenQuestion holds

Textmetadata
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.