Evidence map›Paper›PMID 29365290›Full record

ArticleDento maxillo facial radiology2018

Gray scale and doppler ultrasonography features of the carcinoma ex pleomorphic adenoma.

Ding Angang, Li Jia, Gong Xia, Xiong Ping, Li Jiang

Abstract read
In one paragraph

Article in Dento maxillo facial radiology, 2018. 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
–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

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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.

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4 · The record

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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.

Ding Angang1 Department of Ultrasound, Shanghai Ninth People's Hospital, School of Medicine, Shanghai Jiao tong University , Shanghai , PR China.
Li Jia1 Department of Ultrasound, Shanghai Ninth People's Hospital, School of Medicine, Shanghai Jiao tong University , Shanghai , PR China.
Gong Xia1 Department of Ultrasound, Shanghai Ninth People's Hospital, School of Medicine, Shanghai Jiao tong University , Shanghai , PR China.
Xiong Ping1 Department of Ultrasound, Shanghai Ninth People's Hospital, School of Medicine, Shanghai Jiao tong University , Shanghai , PR China.
Li Jiang2 Department of Pathology, Shanghai Ninth People's Hospital, School of Medicine, Shanghai Jiao tong University , Shanghai , PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesFor lesions in the salivary glands, ultrasonography (US) is an ideal tool for initial assessment. The aim of this study was to characterize and differentiate between the Gray scale and Doppler US findings of intracapsular carcinoma ex pleomorphic adenoma (Ic-CxPA) and invasive carcinoma ex pleomorphic adenoma (Inv-CxPA).

methodsA total of 87 patients (89 lesions) with histopathologically proven CxPA underwent US examination. The following characteristics were assessed on US images: size, shape, border, echogenicity, echo texture, posterior echo, vascularity, and regional lymph node enlargement. One-way analysis of variance (ANOVA), nonparametric test, Fisher's exact test, chi-square test and receiver operating characteristic (ROC) curve were used for the analyses of the US findings of Ic-CxPAs and Inv-CxPAs.

resultsWe found that on US images, nearly all Ic-CxPAs (10/11) and a few of Inv-CxPAs (17/78) showed benign features, such as a regular shape, a well-defined border, and enhancement of posterior echo, while most Inv-CxPAs (61/78) showed one or more following features: an irregular shape, an ill-defined border, and lack of enhancement of posterior echo.

conclusionsIc-CxPAs tended to exhibit benign features, whereas most Inv-CxPAs tended to exhibit one or more invasive features. US can provide strong evidence in differentiating Inv-CxPAs from Ic-CxPAs.

Indexed as

AdenocarcinomaAdenoma, PleomorphicAdultAgedAged, 80 and overDiagnosis, DifferentialFemaleHumansMaleMiddle AgedRetrospective StudiesSalivary Gland NeoplasmsUltrasonographyUltrasonography, Doppler

Identifiers

PMID29365290
PMCPMC5991755

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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.