Evidence map›Paper›PMID 41210215›Full record

ArticleClinical and translational radiation oncology2026

Patterns of response in head and neck cancer subregions using daily Quantitative MRI from MR-guided radiation therapy.

Ryan Bonate, Musaddiq Awan, Heather Himburg, Stuart Wong, Monica Shukla, Joseph Zenga, Eric S Paulson

Abstract read
In one paragraph

Article in Clinical and translational radiation oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

7 authors.

Ryan BonateDepartments of Biophysics, Medical College of Wisconsin, Milwaukee, WI, United States.
Musaddiq AwanDepartments of, Radiation Oncology, Medical College of Wisconsin, Milwaukee, WI, United States.
Heather HimburgDepartments of, Radiation Oncology, Medical College of Wisconsin, Milwaukee, WI, United States.
Stuart WongDepartments of, Radiation Oncology, Medical College of Wisconsin, Milwaukee, WI, United States.
Monica ShuklaDepartments of, Radiation Oncology, Medical College of Wisconsin, Milwaukee, WI, United States.
Joseph ZengaDepartments of Surgery Medical College of Wisconsin, Milwaukee, WI, United States.
Eric S PaulsonDepartments of Biophysics, Medical College of Wisconsin, Milwaukee, WI, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Purpose: Quantitative MRI (qMRI) is an emerging technique for characterizing tissue microenvironments. Prior work has shown that daily qMRI during MR-guided radiotherapy (MRgRT) detects differential responses to hypofractionated radiotherapy (RT) in head and neck squamous cell carcinoma (HNSCC) within the primary gross tumor volume (GTVp). This exploratory study investigates whether subregions of HNSCC tumors show distinct qMRI responses to hypofractionated RT using contoured GTVp subregions and voxelwise data. Materials and Methods: Eighteen subjects with advanced HNSCC underwent MRgRT with daily qMRI over 15 fractions (total dose 50, 55, or 60 Gy). Daily intravoxel incoherent motion (IVIM) and relaxometry sequences were acquired on a 1.5 T MR-Linac. Median ADC, D, D*, f, T Results: Significant changes (p < 0.05) were observed in ADC, D, f, T Conclusions: In this exploratory study, qMRI detected spatial heterogeneity in HNSCC. These findings support its potential role in guiding biologically adaptive RT strategies.

Indexed as

Adaptive radiotherapyHead and neck cancerMRI guided radiation therapyquantitative MRITreatment response assessment

Identifiers

PMID41210215
PMCPMC12590287

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.