Evidence map›Paper›PMID 28948489›Full record

ArticleLa Radiologia medica2018

Assessment of salivary gland tumors using MRI and CT: impact of experience on diagnostic accuracy.

Thomas J Vogl, Moritz H Albrecht, Nour-El-Din A Nour-Eldin, Hanns Ackermann, Adel Maataoui, Timo Stöver, Matthew W Bickford, Tatjana Stark-Paulsen

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in La Radiologia medica, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

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

18 citing papers in PubMed.

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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

8 authors.

Thomas J VoglDepartment of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt Am Main, Germany. T.Vogl@em.uni-frankfurt.de.
Moritz H AlbrechtDepartment of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt Am Main, Germany.
Nour-El-Din A Nour-EldinDepartment of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt Am Main, Germany.
Hanns AckermannDepartment of Biostatistics and Medical Information, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt Am Main, Germany.
Adel MaataouiDepartment of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt Am Main, Germany.
Timo StöverDepartment of Head and Neck Surgery, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt Am Main, Germany.
Matthew W BickfordDepartment of Radiology and Radiological Science, Medical University of South Carolina, 171 Ashley Ave, Charleston, SC, 29425, USA.
Tatjana Stark-PaulsenDepartment of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt Am Main, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RATIONALE AND

objectivesTo analyze the accuracy of radiological diagnosis in MRI and CT studies of salivary gland tumors depending on the radiologist's experience. MATERIALS AND

methodsThree radiologists with differing experience (R1 > 20, R2 > 11, and R3 > 7 years, respectively) retrospectively reviewed 128 cases (116 MRI, 12 CT studies) with suspected salivary gland tumors regarding dignity and classification using histopathology as a reference standard. Sensitivity, specificity, positive/negative predictive value and inter-observer agreement (using Cohen's κ) were calculated to compare diagnostic performance.

resultsLesions were benign in 87 and in 23 cases malignant. Neoplasia was absent in 18 cases (15 cases without neoplasia and 3 cases without disease). The highest inter-observer agreement for determining dignity using CT was found between R1 and R2 (κ = 0.74, p < 0.001), and the lowest between R2 and R3 (κ = 0.28, p < 0.001). MRI sensitivity/specificity for classifying pleomorphic adenomas was as follows: R1 (100%/100%), R2 (76.92%/87.01%), R3 (43.53%/67.53%), and for CT: R1 (100%/100%), R2 (100%/88.89%), R3 (66.67%/88.89%; for Warthin's tumor using MRI: R1 (100%/97.44%), R2 (68.42%/83.33%), R3 (50.00%/67.95%), and using CT: R1 (100%/100%), R2 (50.00%/100%), R3 (100%/100%; for squamous cell carcinomas using MRI: R1 (100%/100%), R2 (75.00%/97.12%), R3 (75.00%/99.04%), and using CT: R1 (100%/100%), R2 (66.67%/88.89%), R3 (66.67%/66.67%). The highest agreement was found between R1 and R2 for MRI (κ = 0.62, p < 0.001), and the lowest between R1 and R3 at MRI (κ = 0.28, p < 0.001).

conclusionDiagnostic accuracy in the assessment of salivary gland tumors strongly depends on the observer's expertise and increases with higher experience.

Indexed as

HumansMagnetic Resonance ImagingObserver VariationPredictive Value of TestsReproducibility of ResultsRetrospective StudiesSalivary Gland NeoplasmsSensitivity and SpecificityTomography, X-Ray ComputedCTDiagnostic accuracyMRIRadiological experienceSalivary gland tumor

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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.