ArticleEuropean journal of nuclear medicine and molecular imaging2019
A multiparametric analysis based on DCE-MRI to improve the accuracy of parotid tumor discrimination.
Article in European journal of nuclear medicine and molecular imaging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 29 papers.
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.
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.
Who cites it
29 citing papers in PubMed, 46 citations in OpenAlex.
- Machine learning-based radiomics for histological classification of parotid tumors using morphological MRI: a comparative study.European radiology · 2022Trial
- Quantitative Permeability MRI for Preoperative Differentiation of Warthin Tumors and Malignant Salivary Gland Lesions.Diagnostics (Basel, Switzerland) · 2026Article
- The Role of Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) in Differentiating Salivary Gland Neoplasms Compared with Fine-Needle Aspiration (FNA).Diagnostics (Basel, Switzerland) · 2026Article
- Radiomics analysis of parotid gland tumors using DWI and DCE-MRI: comparison of multiple machine learning models for differential diagnosis.Polish journal of radiology · 2026Article
- Advanced magnetic resonance neurography for preoperative facial nerve assessment and surgical planning in parotid tumors: a review of current evidence and surgical translation.Frontiers in oncology · 2026Review
- Maximum signal intensity ratio on T1-weighted images for differentiating parotid gland tumors: a comparative study across two medical centers.BMC oral health · 2025Article
- A Stepwise decision tree model for differential diagnosis of Kimura's disease in the head and neck.BMC medical imaging · 2025Article
- Article
- The value of diffusion kurtosis imaging and dynamic contrast-enhanced magnetic resonance imaging in the differential diagnosis of parotid gland tumors.Gland surgery · 2024Article
- Correlation between MRI (DWI and DCE) and cellularity of parotid gland pleomorphic adenomas.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2024Article
- Multi‑parameter quantitative magnetic resonance imaging in the early assessment of radiation‑induced parotid damage in patients with nasopharyngeal carcinoma following intensity‑modulated radiotherapy.Oncology letters · 2024Article
- Differential diagnosis of parotid gland tumors using apparent diffusion coefficient, texture features, and their combination.Dento maxillo facial radiology · 2023Article
- The Value of Multiparametric Magnetic Resonance Imaging in the Preoperative Differential Diagnosis of Parotid Gland Tumors.Cancers · 2023Article
- Diagnostic efficacy of diffusion-weighted imaging and semiquantitative and quantitative dynamic contrast-enhanced magnetic resonance imaging in salivary gland tumors.World journal of radiology · 2023Article
- Amide proton transfer-weighted magnetic resonance imaging for the differentiation of parotid gland tumors.Frontiers in oncology · 2023Article
- Differentiation of various salivary gland tumours using diffusion-weighted MRI and dynamic contrast-enhanced MRI.Polish journal of radiology · 2023Article
- Advanced magnetic resonance imaging findings in salivary gland tumors.World journal of radiology · 2022Review
- Imaging of parotid anomalies in infants and children.Insights into imaging · 2022Review
- Differentiation of Benign From Malignant Parotid Gland Tumors Using Conventional MRI Based on Radiomics Nomogram.Frontiers in oncology · 2022Article
- Comparison of Different Machine Models Based on Multi-Phase Computed Tomography Radiomic Analysis to Differentiate Parotid Basal Cell Adenoma From Pleomorphic Adenoma.Frontiers in oncology · 2022Article
Corrections and comments
- Erratum issued
Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundRecently, semiquantitative time-intensity curve (TIC) analysis based on DCE-MRI and apparent diffusion coefficient (ADC) value-based diffusion-weighted imaging (DWI) were used to improve the diagnostic efficiency when diagnosing parotid tumors (PTs). However, quantitative DCE-MRI biomarkers have not been emphasized previously. PURPOSE: To explore the diagnostic efficiency of perfusion parameters alone or in combination based on quantitative DCE-MRI and DWI in the differential diagnosis of PTs.
methodsIn total, 112 patients with parotid masses were prospectively recruited in our hospital from August 2013 to March 2017. All patients were evaluated with DCE-MRI and DWI before surgery. TIC and quantitative parameters based on DCE MRI and ADCs were analyzed. Receiver operating characteristic analysis and linear discriminant analysis (LDA) was used to determine their diagnostic performance.
resultsIn total, 87% (27/31) of pleomorphic adenoma (PA) showed type A TIC, 74% (65/88) of Warthin's tumors showed type B TIC, and 95% (19/20) of malignant tumors showed TIC type C. Pearson X
conclusionTIC pattern in combination with the Ve biomarker based on DCE-MRI could achieve optimal diagnostic accuracy in the differential diagnosis of PTs.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.