Evidence map›Paper›PMID 26427839›Full record

ReviewAJNR. American journal of neuroradiology2016

Dynamic Contrast-Enhanced MR Imaging in Head and Neck Cancer: Techniques and Clinical Applications.

S Gaddikeri, R S Gaddikeri, T Tailor, Y Anzai

Abstract readReview
In one paragraph

Review in AJNR. American journal of neuroradiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing 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

55 citing papers in PubMed.

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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.

S GaddikeriFrom the Department of Radiology (S.G., T.T., Y.A.), University of Washington Medical Center, Seattle, Washington.
R S GaddikeriDepartment of Neuroradiology (R.S.G.), Rush University, Chicago, Illinois.
T TailorFrom the Department of Radiology (S.G., T.T., Y.A.), University of Washington Medical Center, Seattle, Washington.
Y AnzaiFrom the Department of Radiology (S.G., T.T., Y.A.), University of Washington Medical Center, Seattle, Washington Department of Radiology (Y.A.), University of Utah Health Care, Salt Lake City, Utah. yoshimi.anzai@hsc.utah.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the past decade, dynamic contrast-enhanced MR imaging has had an increasing role in assessing the microvascular characteristics of various tumors, including head and neck cancer. Dynamic contrast-enhanced MR imaging allows noninvasive assessment of permeability and blood flow, both important features of tumor hypoxia, which is a marker for treatment resistance for head and neck cancer. Dynamic contrast-enhanced MR imaging has the potential to identify early locoregional recurrence, differentiate metastatic lymph nodes from normal nodes, and predict tumor response to treatment and treatment monitoring in patients with head and neck cancer. Quantitative analysis is in its early stage and standardization and refinement of technique are essential. In this article, we review the techniques of dynamic contrast-enhanced MR imaging data acquisition, analytic methods, current limitations, and clinical applications in head and neck cancer.

Indexed as

Contrast MediaHead and Neck NeoplasmsHumansImage Interpretation, Computer-AssistedMagnetic Resonance ImagingContrast Media

Identifiers

PMID26427839
PMCPMC7960151

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.