Evidence map›Paper›PMID 37015250›Full record

ArticleDento maxillo facial radiology2023

Differential diagnosis of parotid gland tumors using apparent diffusion coefficient, texture features, and their combination.

Hirotaka Muraoka, Takashi Kaneda, Takumi Kondo, Shunya Okada, Satoshi Tokunaga

Abstract read
In one paragraph

Article in Dento maxillo facial radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Hirotaka MuraokaDepartment of Radiology, Nihon University School of Dentistry at Matsudo 2-870-1 Sakaecho-Nishi, Matsudo, Chiba, Japan.ORCID 0000-0001-5764-2002
Takashi KanedaDepartment of Radiology, Nihon University School of Dentistry at Matsudo 2-870-1 Sakaecho-Nishi, Matsudo, Chiba, Japan.
Takumi KondoDepartment of Radiology, Nihon University School of Dentistry at Matsudo 2-870-1 Sakaecho-Nishi, Matsudo, Chiba, Japan.
Shunya OkadaDepartment of Radiology, Nihon University School of Dentistry at Matsudo 2-870-1 Sakaecho-Nishi, Matsudo, Chiba, Japan.
Satoshi TokunagaDepartment of Radiology, Nihon University School of Dentistry at Matsudo 2-870-1 Sakaecho-Nishi, Matsudo, Chiba, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesWarthin's tumors (WT) and pleomorphic adenomas (PA) are the commonest parotid gland tumors; however, their differentiation remains difficult. This study aimed to investigate the utility of the apparent diffusion coefficient (ADC) value, texture features, and their combination for the differential diagnosis of parotid gland tumors.

methodsPatients who underwent magnetic resonance imaging (MRI) between April 2008 and March 2021 for parotid gland tumors were included and divided into two groups according to the tumor type: WT and PA. The tumor types were used as predictor variables, while the ADC value, texture features, and their combination were the outcome variables. Texture features were measured on short tau inversion recovery (STIR) images and selected using the Fisher's coefficient method and probability of error, and average correlation coefficients. The Mann-Whitney U-test was used to analyze bivariate statistics. Receiver operating characteristic curve analysis was used to assess the ability of the ADC value, texture features, and their combination to distinguishing between the two tumor types.

resultsA total of 22 patients were included, 11 in each group. The ADC value, 10 texture features, and their combination were significantly different between the two groups (

conclusionThe ADC value, texture features, and their combination demonstrated good diagnostic ability to distinguish between WTs and PAs. This method may be used to aid the differential diagnosis of parotid gland tumors, thereby promoting timely and adequate treatment.

Indexed as

AdenolymphomaAdenoma, PleomorphicParotid NeoplasmsDiagnosis, DifferentialDiffusion Magnetic Resonance ImagingHumansMagnetic Resonance ImagingParotid GlandRetrospective StudiesApparent diffusion coefficientParotid gland tumorTexture analysis

Identifiers

PMID37015250
PMCPMC10170173

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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.