Evidence map›Paper›PMID 29097922›Full record

ArticleContrast media & molecular imaging2017

Dynamic Contrast-Enhanced Magnetic Resonance Imaging of Regional Nodal Metastasis in Nasopharyngeal Carcinoma: Correlation with Nodal Staging.

Bingsheng Huang, Dora Lai-Wan Kwong, Vincent Lai, Queenie Chan, Brandon Whitcher, Pek-Lan Khong

Open access · hybridAbstract read
In one paragraph

Article in Contrast media & molecular imaging, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

4 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. 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

6 authors at 4 institutions in 2 countries.

Bingsheng HuangNational-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Health Science Centre, Shenzhen University, Shenzhen, China.ORCID 0000-0002-1183-7506
Dora Lai-Wan KwongDepartment of Clinical Oncology, The University of Hong Kong, Pokfulam, Hong Kong.
Vincent LaiDepartment of Diagnostic Radiology, The University of Hong Kong, Pokfulam, Hong Kong.
Queenie ChanPhilips Healthcare, Sheung Wan, Hong Kong.
Brandon WhitcherMango Solutions, London, UK.
Pek-Lan KhongDepartment of Diagnostic Radiology, The University of Hong Kong, Pokfulam, Hong Kong.ORCID 0000-0002-9280-6778
University of Hong Kong · HKPhilips (China) · CNQueen Mary Hospital · CNShenzhen University Health Science Center · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To determine if the perfusion parameters by dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) of regional nodal metastasis are helpful in characterizing nodal status and to understand the relationship with those of primary tumor of nasopharyngeal carcinoma (NPC). Materials and Methods: Newly diagnosed patients imaged between August 2010 and January 2014 and who were found to have enlarged retropharyngeal/cervical lymph nodes suggestive of nodal disease were recruited. DCE-MRI was performed. Three quantitative parameters, Results: Twenty-six patients (7 females; 25~67 years old) were enrolled. Conclusion: DCE-MRI may play a distinct role in characterizing the metastatic cervical lymph nodes of NPC.

Indexed as

AdultAgedCarcinomaContrast MediaFemaleHumansLymphatic MetastasisLymph NodesMagnetic Resonance ImagingMaleMiddle AgedNasopharyngeal CarcinomaNasopharyngeal NeoplasmsContrast Media

Identifiers

PMID29097922
PMCPMC5612710
OpenAlexW2618828074

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.