Published online Jan 28, 2023. doi: 10.4329/wjr.v15.i1.20
Peer-review started: July 5, 2022
First decision: September 5, 2022
Revised: September 15, 2022
Accepted: December 13, 2022
Article in press: December 13, 2022
Published online: January 28, 2023
Processing time: 195 Days and 19.3 Hours
Conventional magnetic resonance imaging (MRI) provides more data than other radiological modalities in determining the extent of tumor spread in salivary gland tumors (SGTs) and assessing its relationship to vascular and neural structures, but falls short of distinguishing subtypes of SGTs. As the malignant or benign nature of SGTs affects the treatment protocol, it is important to differentiate between malignant (MTs) and benign tumors (BTs) noninvasively with high diagnostic accuracy.
In recent years, advanced MRI techniques such as diffusion-weighted imaging (DWI) and semi-quantitative MRI have been increasingly used in the radiological evaluation of SGTs. However, various studies on quantitative dynamic contrast-enhanced (DCE) perfusion MRI parameters (Ktrans, Kep, and Ve) in SGTs are limited. Therefore, in this study, the effectiveness of advanced MRI applications, including all three methods, in the diagnosis of SGTs was evaluated in light of the literature.
To determine the diagnostic efficiency of DWI and DCE (semiquantitative perfusion) MRI and quantitative perfusion MRI parameters in SGTs.
Apparent diffusion coefficient (ADC) values of SGTs on DWI were measured with manually inserted regions of interest, excluding the cystic components of the tumors. Time intensity curve (TIC) patterns were created for semiquantitative perfusion MRI based on Tpeak and washout ratios (WRs) of tumors. On quantitative DCE MRI, perfusion parameters such as Ktrans [volume transfer constant between blood plasma and extracellular extravascular space (EES)], Kep (flux rate constant between the EES and plasma), and Ve (EES fractional volume) were used.
The ADC values of pleomorphic adenomas (PMAs) were significantly higher than those of Warthin's tumors (WTs), other benign tumors (OBTs), and MTs (P < 0.001). However, there was no significant difference in ADC values for OBTs, WTs, and MTs. PMAs had type A and WTs had type B TIC pattern while the vast majority of MTs and OBTs (54.5% and 45.5%, respectively) displayed type C TIC pattern. PMAs showed no washout, while the highest mean WR was observed in WTs. For quantitative perfusion MRI parameters, the Kep value of WTs was significantly higher than those of other tumors (P < 0.001). For the Ve value, WTs and OBTs differed significantly from PMAs and MTs (P < 0.001). Ktrans values of PMAs, WTs, OBTs, and MTs were not significantly different.
DWI and semiquantitative and quantitative perfusion MRI, which provide more information on the microstructure, cellularity, interstitial distance, and vascularity of tumors, have increased the discrimination power for subtypes of SGTs.
Although there is some overlap in the findings of the subtypes of SGTs obtained by advanced MRI methods, the combined use of DWI and semiquantitative and quantitative perfusion MRI will increase the power for distinguishing subtypes of SGTs.