Pleomorphic Adenoma Versus Warthin Tumor of the Parotid
Gland: Diagnostic Value of CT Perfusion Imaging and Its
Pathologic Explanation

Xu, Zhifeng; Fang, Rong; Tian, Yu; Chen, YingYu; Gao, Qiang; Zhou, Tian; Aizhen, Pan

doi:10.17554/j.issn.1819-6187.2016.04.74

Cited by 3 publications

(3 citation statements)

References 19 publications

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“…Therefore, statistical analysis was first used to eliminate indicators without significant differences, and among the tumor categories, no significant differences were observed regarding characteristics such as tumor location or nodule-in-nodule sign. Finally, 14 CT characteristics that were valuable in the differential diagnosis of PA, WT and PCa were selected, which was consistent with the results of our previous studies (3,5,9). In addition, given the importance of sex and age in the identification of PTs found in previous studies, these characteristics were included as modeling indicators to improve the success of the model.…”

Section: Discussionmentioning

confidence: 70%

“…CT and MRI are promising examination techniques for PTs based on the analysis of various morphological parameters and molecular imaging. Over the last 5 years, CT multiphase enhancement (8), CT perfusion (9), DCE-MRI (1,3,10) and apparent diffusion coefficients derived from DWI (1-3,10) have been applied to improve the diagnostic efficiency of PTs, with diagnostic accuracies ranging from 70 to 97% (3,(8)(9)(10)(11)(12). However, the large influence of subjective factors, the small case sample size and a single evaluation index are the main limitations of these studies, and results among studies have not been replicated.…”

Section: Discussionmentioning

confidence: 99%

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Machine learning‑based multiparametric traditional multislice computed tomography radiomics for improving the discrimination of parotid neoplasms

Jin

et al. 2021

Mol Clin Oncol

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Characterization of parotid tumors is important for treatment planning and prognosis, and parotid tumor discrimination has recently been developed at the molecular level. The aim of the present study was to establish a machine learning (ML) predictive model based on multiparametric traditional multislice CT (MSCT) radiomic and clinical data analysis to improve the accuracy of differentiation among pleomorphic adenoma (PA), Warthin tumor (WT) and parotid carcinoma (PCa). A total of 345 patients (200 with WT, 91 with PA and 54 with PCa) with pathologically confirmed parotid tumors were retrospectively enrolled from five independent institutions between January 2010 and May 2019. A total of 273 patients recruited from institutions 1, 2 and 3 were randomly assigned to the training model; the independent validation set consisted of 72 patients treated at institutions 1, 4 and 5. Data were investigated using a linear discriminant analysis-based ML classifier. Feature selection and dimension reduction were conducted using reproducibility testing and a wrapper method. The diagnostic accuracy of the predictive model was compared with histopathological findings as reference results. This classifier achieved a satisfactory performance for the discrimination of PA, WT and PCa, with a total accuracy of 82.1% in the training cohort and 80.5% in the validation cohort. In conclusion, ML-based multiparametric traditional MSCT radiomics can improve the accuracy of differentiation among PA, WT and PCa. The findings of the present study should be validated by multicenter prospective studies using completely independent external data.

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Section: Discussionmentioning

confidence: 70%

Section: Discussionmentioning

confidence: 99%

Machine learning‑based multiparametric traditional multislice computed tomography radiomics for improving the discrimination of parotid neoplasms

Jin

et al. 2021

Mol Clin Oncol

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“…Pathologically, Warthin's tumors have abundant blood vessels and extensive capillary networks with many leaking blood vessels than pleomorphic adenoma. [6][7][8] Xu et al 18 also demonstrated that blood volumes and flows were greater for Warthin's tumors than pleomorphic adenomas, reflecting neovascularity and angiogenic activity of Warthin's tumor.…”

Section: Discussionmentioning

confidence: 99%

Comparative Study of Dynamic Susceptibility Contrast Perfusion MR Images between Warthin's Tumor and Malignant Parotid Tumors

Park

Kim

Cha

2019

KMJ

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Objectives To identify diagnostically meaningful differences between Warthin's tumor and malignant masses in the parotid gland by dynamic susceptibility contrast (DSC) MR imaging. Methods Eleven malignant parotid tumors and 9 Warthin's tumors were included. MR imaging was performed on all patients. Signal intensity time curves of tumors were obtained by DSC MR imaging and dynamic susceptibility contrast percentages (DSC%) were calculated. Results No significant difference was observed between malignant tumors and Warthin's tumors (P = 0.437), although DSC% values tended to be higher for Warthin's tumors. Conclusions Warthin's tumor tended to have higher DSC% values than malignant parotid tumors, but this difference was not significantly different.

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A multiparametric analysis based on DCE-MRI to improve the accuracy of parotid tumor discrimination

Zheng

Aizhen

et al. 2019

Eur J Nucl Med Mol Imaging

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Pleomorphic Adenoma Versus Warthin Tumor of the Parotid Gland: Diagnostic Value of CT Perfusion Imaging and Its Pathologic Explanation

Cited by 3 publications

References 19 publications

Machine learning‑based multiparametric traditional multislice computed tomography radiomics for improving the discrimination of parotid neoplasms

Machine learning‑based multiparametric traditional multislice computed tomography radiomics for improving the discrimination of parotid neoplasms

Comparative Study of Dynamic Susceptibility Contrast Perfusion MR Images between Warthin's Tumor and Malignant Parotid Tumors

A multiparametric analysis based on DCE-MRI to improve the accuracy of parotid tumor discrimination

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Pleomorphic Adenoma Versus Warthin Tumor of the Parotid Gland: Diagnostic Value of CT Perfusion Imaging and Its Pathologic Explanation

Cited by 3 publications

References 19 publications

Machine learning‑based multiparametric traditional multislice computed tomography radiomics for improving the discrimination of parotid neoplasms

Machine learning‑based multiparametric traditional multislice computed tomography radiomics for improving the discrimination of parotid neoplasms

Comparative Study of Dynamic Susceptibility Contrast Perfusion MR Images between Warthin&apos;s Tumor and Malignant Parotid Tumors

A multiparametric analysis based on DCE-MRI to improve the accuracy of parotid tumor discrimination

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Comparative Study of Dynamic Susceptibility Contrast Perfusion MR Images between Warthin's Tumor and Malignant Parotid Tumors