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European Journal of Nuclear Medicine and Molecular Imaging

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01-10-2019 | Biomarkers | Original Article

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

Authors: Zhifeng Xu, Shaoyan Zheng, Aizhen Pan, Xiaofang Cheng, Mingyong Gao

Published in: European Journal of Nuclear Medicine and Molecular Imaging | Issue 11/2019

Abstract

Background

Recently, 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.

Methods

In 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.

Results

In 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 X² test showed a significant difference between TIC patterns in benign and malignant tumors (X² = 38.78, p < 0.001). ROC analysis revealed that ADC achieved the best diagnostic performance for distinguishing PA and Warthin’s tumor from others, with area under the curve (AUC) values of 0.945 and 0.925 (p < 0.01), respectively. Furthermore, the TIC type was the only useful biomarker for distinguishing malignant from benign PTs, with an AUC of 0.846 (p < 0.01). Concerning the accuracy of the combined application of multiple parameters of DCE-MRI and ADC values, a combination of TIC pattern and extracellular volume ratio (Ve) provided the best results among five protocols, producing the highest accuracy of 0.75, followed by the combined use of the TIC pattern and ADC (accuracy was 0.70).

Conclusion

TIC pattern in combination with the Ve biomarker based on DCE-MRI could achieve optimal diagnostic accuracy in the differential diagnosis of PTs.

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Title: A multiparametric analysis based on DCE-MRI to improve the accuracy of parotid tumor discrimination
Authors: Zhifeng Xu
Shaoyan Zheng
Aizhen Pan
Xiaofang Cheng
Mingyong Gao
Publication date: 01-10-2019
Publisher: Springer Berlin Heidelberg
Keyword: Biomarkers
Published in: European Journal of Nuclear Medicine and Molecular Imaging / Issue 11/2019
Print ISSN: 1619-7070
Electronic ISSN: 1619-7089
DOI: https://doi.org/10.1007/s00259-019-04447-9

Keynote webinar | Spotlight on medication adherence

Springer Medicine

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

Abstract

Background

Purpose

Methods

Results

Conclusion

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Abstract

Background

Purpose

Methods

Results

Conclusion

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