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CC BY-NC-ND 4.0 · Indian J Radiol Imaging
DOI: 10.1055/s-0044-1800861
Original Article

Multiparametric MRI in Diagnosis of Parotid Gland Tumor: An Observational Study in 3-T MRI

Sreecharan V.R
1   Department of Radiodiagnosis, All India Institute of Medical Sciences, Bhubaneswar, Odisha, India
,
Suprava Naik
1   Department of Radiodiagnosis, All India Institute of Medical Sciences, Bhubaneswar, Odisha, India
,
Nerbadyswari Deep
1   Department of Radiodiagnosis, All India Institute of Medical Sciences, Bhubaneswar, Odisha, India
,
Amit Kumar Adhya
2   Department of Pathology, All India Institute of Medical Sciences, Bhubaneswar, Odisha, India
,
Preetam Chappity
3   Department of ENT, All India Institute of Medical Sciences, Bhubaneswar, Odisha, India
,
Sudipta Mohakud
1   Department of Radiodiagnosis, All India Institute of Medical Sciences, Bhubaneswar, Odisha, India
,
Manoj Kumar Nayak
1   Department of Radiodiagnosis, All India Institute of Medical Sciences, Bhubaneswar, Odisha, India
,
Ranjan Kumar Patel 
1   Department of Radiodiagnosis, All India Institute of Medical Sciences, Bhubaneswar, Odisha, India
,
Taraprasad Tripathy 
1   Department of Radiodiagnosis, All India Institute of Medical Sciences, Bhubaneswar, Odisha, India
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Abstract

Background Preoperative magnetic resonance imaging (MRI) has an important role in the management and prognostication of parotid gland tumors. We aim to evaluate the role of multiparametric MRI in differentiating the major subgroup of parotid tumors.

Material and Methods Multiparametric MRI: T1-weighted imaging (T1WI), T2WI, diffusion-weighted imaging (DWI), pseudo-continuous arterial spin labeling (ASL) and dynamic contrast-enhanced (DCE) imaging were acquired in all patients. Apparent diffusion coefficient (ADC) values and tumor blood flow (TBF) were calculated from DWI and ASL, respectively. Ktrans, Kep, Ve, initial area under the gadolinium enhancement concentration curve (IAUGC), maximum slope, and contrast enhancement ratio (CER) were calculated from DCE-MRI perfusion. The above parameters were compared between three major subgroups of parotid gland tumors, such as non-Warthin benign tumors (NWBT), Warthin's tumors (WT), and malignant parotid tumors (MT).

Results The mean ADC of MT (n = 13), WT (n = 5), and NWBT (n = 29) was 1.03 × 10−3 mm2/s, 0.97 × 10−3 mm2/s, and 1.89 × 10−3 mm2/s, respectively. The mean TBF (in mL/100 g/min) was the highest MT (70.33), followed by WT (62.04) and NWBT (21.99). A cutoff of 40.51 mL/100 g/min showed a sensitivity of 96.6% and specificity of 77.8% for predicting NWBT. In DCE-MRI, 96.6% of the NWBT showed a type A time–signal intensity curve. Although the majority of MT and WT had type C and B curves, respectively, there was overlapping. Among the quantitative DCE parameters, Ktrans and Kep were highly sensitive for differentiating NWBT, WT, and MT. Ktrans, Kep, IAUGC, and MS were maximum in WT, followed by MT and NWBT. Kep and Ktrans both had an accuracy of 84.7% for predicting pleomorphic adenoma.

Conclusion Multiparametric MRI is useful for differentiating NWBT, WT, and MT. DCE-MRI helps in differentiating benign from malignant tumors. DWI and ASL are useful in differentiating NWBT from parotid malignancy.

Keywords

diffusion-weighted MRI - arterial spin labeling - dynamic contrast enhanced MRI - parotid tumor - salivary gland tumor

Patient Consent

Written informed consent was obtained from all the patients included in the study.




Publication History

Article published online:
17 December 2024

© 2024. Indian Radiological Association. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/)

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