Evidence map›Paper›PMID 29416951›Full record

ReviewCurrent radiology reports2018

Functional MRI for Treatment Evaluation in Patients with Head and Neck Squamous Cell Carcinoma: A Review of the Literature from a Radiologist Perspective.

Roland P Nooij, Jan J Hof, Peter Jan van Laar, Anouk van der Hoorn

Open access · hybridAbstract readReview
In one paragraph

Review in Current radiology reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.8field-weighted citation impact, top 18% 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

9 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. 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

4 authors at 2 institutions in 1 country.

Roland P Nooij1Department of Radiology, Medical Spectrum Twente, Enschede, The Netherlands.
Jan J Hof1Department of Radiology, Medical Spectrum Twente, Enschede, The Netherlands.
Peter Jan van Laar2Department of Radiology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, P. O. Box 30.001, 9700 RB Groningen, The Netherlands.
Anouk van der Hoorn2Department of Radiology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, P. O. Box 30.001, 9700 RB Groningen, The Netherlands.
Medisch Spectrum Twente · NLUniversity Medical Center Groningen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewTo show the role of functional MRI in patients treated for head and neck squamous cell carcinoma. RECENT

findingsMRI is commonly used for treatment evaluation in patients with head and neck tumors. However, anatomical MRI has its limits in differentiating between post-treatment effects and tumor recurrence. Recent studies showed promising results of functional MRI for response evaluation. SUMMARY: This review analyzes possibilities and limitations of functional MRI sequences separately to obtain insight in the post-therapy setting. Diffusion, perfusion and spectroscopy show promise, especially when utilized complimentary to each other. These functional MRI sequences aid in the early detection which might improve survival by increasing effectiveness of salvage therapy. Future multicenter longitudinal prospective studies are needed to provide standardized guidelines for the use of functional MRI in daily clinical practice.

Indexed as

Head/neck squamous cell carcinomaLymph nodesMRIPrimary tumorReviewTreatment evaluation

Identifiers

PMID29416951
PMCPMC5778171
OpenAlexW2785177462

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.