Evidence map›Paper›PMID 34003684›Full record

ArticleScience progress

Conventional, diffusion, and dynamic contrast-enhanced MRI findings for differentiating metaplastic Warthin's tumor of the parotid gland.

Chuan-Hai Jia, Sheng-Yu Wang, Qin Li, Jia-Ming Qiu, Xin-Ping Kuai

Open access · diamondAbstract read
In one paragraph

Article in Science progress. 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
0.8field-weighted citation impact, top 28% 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, 6 citations in OpenAlex.

  1. Article
  2. Observational
  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

5 authors at 2 institutions in 1 country.

Chuan-Hai JiaDepartment of Radiology, The Affiliated Changshu Hospital of Xuzhou Medical University, Changshu, Jiangsu, China.
Sheng-Yu WangDepartment of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Jiading, Shanghai, China.
Qin LiDepartment of Radiology, The Affiliated Changshu Hospital of Xuzhou Medical University, Changshu, Jiangsu, China.
Jia-Ming QiuDepartment of Pathology, The Affiliated Changshu Hospital of Xuzhou Medical University, Changshu, Jiangsu, China.
Xin-Ping KuaiDepartment of Radiology, The Affiliated Changshu Hospital of Xuzhou Medical University, Changshu, Jiangsu, China.ORCID 0000-0001-8551-944X
Xuzhou Medical College · CNShanghai Jiao Tong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this study was to explore conventional, diffusion, and dynamic contrast-enhanced MRI (DCE-MRI) characteristics for differentiating metaplastic Warthin's tumor (MWT) from other tumor types of the parotid gland, including non-metaplastic Warthin's tumor (non-MWT), pleomorphic adenoma (PA), and malignant tumor (MT). A total of 178 patients with histologically proven tumors of the parotid gland, including 21 MWTs, 49 non-MWTs, 66 PAs, and 42 MTs, were enrolled in the study. Conventional MRI was performed in all patients. One hundred and fifty patients had preoperative diffusion-weighted MR imaging (DWI), and 62 patients had preoperative DCE-MRI. The differences in the conventional, DCE-MRI, and DWI records between MWTs and the other three tumor types were statistically evaluated. Compared with non-MWTs and PAs, there was a statistically significant difference in circumscription (

Indexed as

AdenolymphomaCystsNeuroblastomaParotid NeoplasmsDiagnosis, DifferentialHumansMagnetic Resonance ImagingMetaplasiaNecrosisParotid GlandRetrospective Studiesdiffusion-weighted imagingdynamic contrast-enhanced MRImagnetic resonance imagingmetaplastic Warthin’s tumorParotid neoplasms

Identifiers

PMID34003684
PMCPMC10455002
OpenAlexW3160830643

What OpenQuestion holds

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LicenceCC BY-NC
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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.