Evidence map›Paper›PMID 30426765›Full record

ArticleDento maxillo facial radiology2019

Differential diagnostic value of diffusion-weighted and dynamic contrast-enhanced MR imaging in non-cystic lesions in floor of the mouth.

Ying Yuan, Mengda Jiang, Lizhong Wu, Xiaofeng Tao

Abstract read
In one paragraph

Article in Dento maxillo facial radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 38% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

4 authors at 2 institutions in 1 country.

Ying Yuan1 Department of Radiology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine , Shanghai , China.
Mengda Jiang1 Department of Radiology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine , Shanghai , China.
Lizhong Wu1 Department of Radiology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine , Shanghai , China.
Xiaofeng Tao1 Department of Radiology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine , Shanghai , China.
Shanghai Jiao Tong University · CNShanghai Ninth People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

methods: A total of 82 patients were included in this study. The apparent diffusion coefficient (ADC) values and time-signal intensity curves (TICs) were measured. Clinical characteristics, ADC value, and TIC pattern were compared between benign and malignant FOM lesions. Receiver operating characteristic curve and logistic regression analyses were performed to evaluate respective and combined value of ADC value and TIC pattern for differential diagnosis. The retrospective study was approved by our institutional review board, and the need for informed consent was waived.

results: The area under the curve ADC value and TIC pattern were 0.71 and 0.73, respectively. The combined use of ADC value and TIC pattern increased the area under the curve value to 0.81 [95% confidence interval (CI), (0.66-0.97)]. ADC < 1.23 × 10

conclusions: Our results suggest that both diffusion-weighted imaging and DCE-MRI could contribute to the differential diagnosis of non-cystic FOM lesions, especially when used in combination.

Indexed as

Magnetic Resonance ImagingMouth DiseasesContrast MediaDiagnosis, DifferentialDiffusion Magnetic Resonance ImagingFemaleGadolinium DTPAHumansMaleRetrospective StudiesROC CurveSensitivity and SpecificityContrast MediaGadolinium DTPAdiffusion magnetic resonance imagingmagnetic resonance imagingmouth floorneoplasms

Identifiers

PMID30426765
PMCPMC6476358
OpenAlexW2900644250

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.