Evidence map›Paper›PMID 41519917›Full record

ReviewCancer imaging : the official publication of the International Cancer Imaging Society2026

NI-RADS in posttreatment head and neck cancer surveillance: a framework for standardized imaging with clinical impact.

David A Zander, Ashley H Aiken, Yuh-Shin Chang, Fabian Elsholtz, Ryan Hughes, Amy F Juliano, Kim O Learned, Ashok Srinivasan, Sara Strauss, Jaime Wicks and 1 more

Abstract readReview
In one paragraph

Review in Cancer imaging : the official publication of the International Cancer Imaging Society, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

11 authors.

David A ZanderDepartment of Radiology, University of Colorado School of Medicine, Aurora, CO, United States of America. david.zander@cuanschutz.edu.
Ashley H AikenDepartment of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, United States of America.
Yuh-Shin ChangDepartment of Radiology, Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, United States of America.
Fabian ElsholtzDepartment of Radiology, Charité-University Medical Center, Berlin, Germany.
Ryan HughesDepartment of Radiation Oncology, Wake Forest University School of Medicine, Winston-Salem, NC, United States of America.
Amy F JulianoDepartment of Radiology, Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, United States of America.
Kim O LearnedDepartment of Neuroradiology, Division of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX, United States of America.
Ashok SrinivasanDepartment of Radiology, University of Michigan, Ann Arbor, Michigan, United States of America.
Sara StraussDepartment of Radiology, Weill Cornell Medical College, New York, NY, United States of America.
Jaime WicksDepartment of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, United States of America.
Paul M BunchDepartment of Radiology, Wake Forest University School of Medicine, Winston-Salem, NC, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Neck Imaging Reporting and Data System (NI-RADS), developed through the American College of Radiology (ACR), provides a standardized framework for interpreting and managing posttreatment imaging in head and neck cancer. Building upon the success of NI-RADS PET/CT, the recently released NI-RADS MRI version 2025 represents a major advancement, introducing modality-specific descriptors and management recommendations tailored to MRI. This review summarizes the history and development of NI-RADS, highlighting both the validated PET/CT framework and the subsequent MRI update. At its core, NI-RADS offers a standardized lexicon for post-treatment findings, a structured reporting format that stratifies risk of disease recurrence, and linked management recommendations. Surveillance imaging is an essential component of post-treatment head and neck cancer care. Evidence strongly supports early imaging surveillance within six months of definitive therapy, whereas the benefits of long-term imaging surveillance remain under-investigated. With the goal of improving patient outcomes, NI-RADS provides a consistent, risk-adaptable framework that supports both clinical decision-making and standardized data collection for future outcomes research. NI-RADS will continue to evolve with advances in oncologic management and imaging technology. Future updates may incorporate ultrasound, advanced imaging techniques, and circulating tumor biomarkers. As surveillance strategies in head and neck cancer advance, NI-RADS is well positioned to serve as the foundation for personalized, risk-based imaging surveillance.

Indexed as

Head and Neck NeoplasmsMagnetic Resonance ImagingPositron Emission Tomography Computed TomographyRadiology Information SystemsHumansNeoplasm Recurrence, Local

Identifiers

PMID41519917
PMCPMC12805746

What OpenQuestion holds

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Registered trials

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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.