Evidence map›Paper›PMID 32430642›Full record

ArticleNeuroradiology2020

Value of quantitative multiparametric MRI in differentiating pleomorphic adenomas from malignant epithelial tumors in lacrimal gland.

Yongzhe Wang, Liyuan Song, Jian Guo, Junfang Xian

Abstract read
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In one paragraph

Article in Neuroradiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

3 citing papers in PubMed, 9 citations in OpenAlex.

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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 at 1 institution in 1 country.

Yongzhe WangDepartment of Radiology, Beijing Tongren Hospital, Capital Medical University, No. 1, Dongjiaominxiang, Dongcheng District, Beijing, 100730, China.
Liyuan SongDepartment of Radiology, Beijing Tongren Hospital, Capital Medical University, No. 1, Dongjiaominxiang, Dongcheng District, Beijing, 100730, China.
Jian GuoDepartment of Radiology, Beijing Tongren Hospital, Capital Medical University, No. 1, Dongjiaominxiang, Dongcheng District, Beijing, 100730, China.
Junfang XianDepartment of Radiology, Beijing Tongren Hospital, Capital Medical University, No. 1, Dongjiaominxiang, Dongcheng District, Beijing, 100730, China. cjr.xianjunfang@vip.163.com.ORCID http://orcid.org/0000-0003-2191-9393
Beijing Tongren Hospital · CN

Funding

Beijing Municipal Administration of Hospitals' Ascent Plan DFL20190203Beijing Municipal Administration of Hospitals' Clinical Medicine Development of Special Funding Support ZYLX201704High Level Health Technical Personnel of Bureau of Health in Beijing 2014-2-005
6 · The paper itself

Abstract

purposeTo evaluate the diagnostic performance of the quantitative parameters derived from diffusion-weighted imaging (DWI) and dynamic contrast-enhanced (DCE) MRI in differentiating lacrimal gland pleomorphic adenomas (LGPAs) from lacrimal gland malignant epithelial tumors (LGMETs).

methodsSeventy-seven cases with LG epithelial tumors confirmed by histopathology (47 LGPAs and 30 LGMETs) underwent DWI and DCE-MRI. The quantitative parameters including the apparent diffusion coefficient (ADC), the volume transfer constant (K

resultsCompared with LGPAs, LGMETs had significantly lower ADC value (1.090 ± 0.169mm

conclusionThe quantitative parameters including ADC, K

Indexed as

Multiparametric Magnetic Resonance ImagingAdenoma, PleomorphicAdultCarcinomaContrast MediaDiagnosis, DifferentialDiffusion Magnetic Resonance ImagingFemaleGadolinium DTPAHumansLacrimal Apparatus DiseasesMaleRetrospective StudiesSensitivity and SpecificityContrast MediaGadolinium DTPADiffusion-weighted imagingDynamic contrast-enhanced imagingLacrimal glandMagnetic resonance imagingPleomorphic adenoma

Identifiers

PMID32430642
OpenAlexW3026264300

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.