Evidence map›Paper›PMID 35454816›Full record

ReviewCancers2022

MR-Guided Adaptive Radiotherapy for OAR Sparing in Head and Neck Cancers.

Samuel L Mulder, Jolien Heukelom, Brigid A McDonald, Lisanne Van Dijk, Kareem A Wahid, Keith Sanders, Travis C Salzillo, Mehdi Hemmati, Andrew Schaefer, Clifton D Fuller

Open access · goldAbstract readReview
In one paragraph

Review in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
6.9field-weighted citation impact, top 2% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Magnetic Resonance Imaging Sequences and Technologies in Adaptive Radiation Therapy.International journal of radiation oncology, biology, physics · 2025
    Review
  6. Review
  7. Review
  8. Article
  9. Article
  10. Overview of the Head and Neck Tumor Segmentation for Magnetic Resonance Guided Applications (HNTS-MRG) 2024 Challenge.Head and Neck Tumor Segmentation for MR-Guided Applications : First MICCAI Challenge, HNTS-MRG 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, October 17, 2024, proceedings · 2025
    Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. 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

10 authors at 3 institutions in 2 countries.

Samuel L MulderDepartment of Radiation Oncology, The University of Texas at MD Anderson Cancer Center, Houston, TX 77030, USA.ORCID 0000-0001-5185-4805
Jolien HeukelomDepartment of Radiation Oncology, Erasmus Medical Center, 3015 GD Rotterdam, The Netherlands.
Brigid A McDonaldDepartment of Radiation Oncology, The University of Texas at MD Anderson Cancer Center, Houston, TX 77030, USA.
Lisanne Van DijkDepartment of Radiation Oncology, Erasmus Medical Center, 3015 GD Rotterdam, The Netherlands.
Kareem A WahidDepartment of Radiation Oncology, The University of Texas at MD Anderson Cancer Center, Houston, TX 77030, USA.
Keith SandersDepartment of Radiation Oncology, The University of Texas at MD Anderson Cancer Center, Houston, TX 77030, USA.
Travis C SalzilloDepartment of Radiation Oncology, The University of Texas at MD Anderson Cancer Center, Houston, TX 77030, USA.ORCID 0000-0001-6271-9879
Mehdi HemmatiDepartment of Computational and Applied Mathematics, Rice University, Houston, TX 77005, USA.
Andrew SchaeferDepartment of Computational and Applied Mathematics, Rice University, Houston, TX 77005, USA.
Clifton D FullerDepartment of Radiation Oncology, The University of Texas at MD Anderson Cancer Center, Houston, TX 77030, USA.ORCID 0000-0002-5264-3994
The University of Texas MD Anderson Cancer Center · USErasmus MC · NLRice University · US

Funding

Multiparametric Magnetic Resonance Imaging Artificial Intelligence Pipeline for Oropharyngeal Cancer Radiotherapy Treatment GuidanceF31DE031502 · NIDCR · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI WAHID, KAREEM · 2021 to 2023
$68k
6 · The paper itself

Abstract

MR-linac devices offer the potential for advancements in radiotherapy (RT) treatment of head and neck cancer (HNC) by using daily MR imaging performed at the time and setup of treatment delivery. This article aims to present a review of current adaptive RT (ART) methods on MR-Linac devices directed towards the sparing of organs at risk (OAR) and a view of future adaptive techniques seeking to improve the therapeutic ratio. This ratio expresses the relationship between the probability of tumor control and the probability of normal tissue damage and is thus an important conceptual metric of success in the sparing of OARs. Increasing spatial conformity of dose distributions to target volume and OARs is an initial step in achieving therapeutic improvements, followed by the use of imaging and clinical biomarkers to inform the clinical decision-making process in an ART paradigm. Pre-clinical and clinical findings support the incorporation of biomarkers into ART protocols and investment into further research to explore imaging biomarkers by taking advantage of the daily MR imaging workflow. A coherent understanding of this road map for RT in HNC is critical for directing future research efforts related to sparing OARs using image-guided radiotherapy (IGRT).

Indexed as

adaptive radiotherapyhead and neck cancerMR-guidedMRInormal tissueOARquantitative imaging

Identifiers

PMID35454816
PMCPMC9028510
OpenAlexW4223446311

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.