Liu Zijun, Wen Baohong, Zhang Zanxia, Qu Feifei, Wu Yanglei, Grimm Robert, Zhang Yong, Cheng Jingliang, Zhang Yan
Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
MR Collaboration, Siemens Healthineer Ltd., Shanghai, China.
Gland Surg. 2024 Jul 30;13(7):1254-1268. doi: 10.21037/gs-24-78. Epub 2024 Jul 24.
Parotid gland tumors (PGTs) are the most common benign tumors of salivary gland tumors. However, the diagnostic value of relative values of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and diffusion kurtosis imaging (DKI) parameters for PGTs has not been extensively studied. Therefore, this study aimed to evaluate the diagnostic performance of combined DKI and DCE-MRI for differentiating PGTs by introducing the concept of relative value.
The DCE-MRI and DKI imaging data of 142 patients with PGTs between June 2018 and August 2022 were collected. Patients were divided into four groups by histopathology: malignant tumors (MTs), pleomorphic adenomas (PAs), Warthin tumors (WTs), and basal cell adenomas (BCAs). All MRI examinations were conducted using a 3 T MRI scanner with a 20-channel head and neck coil. Quantitative parameters of DCE-MRI and DKI and their relative values were determined. Kruskal-Wallis test, post-hoc test with Bonferroni correction, one-way analysis of variance (ANOVA) and post-hoc test with least significant difference (LSD) method, and the receiver operating characteristic (ROC) curve were used for statistical analysis. Statistical significance was set at P<0.05.
Only the combination of DKI and DCE-MRI parameters could reliably distinguish BCAs from other PGTs. PAs demonstrated the lowest transfer constant from plasma to extravascular extracellular space (K) value [0.09 (0.06, 0.20) min], relative K (rK) [-0.24 (-0.64, 1.00)], rate constant from extravascular extracellular space to plasma (K) value [0.32 (0.22, 0.53) min], relative K (rK) [0.32 (0.22, 0.53) min], and initial area under curve (iAUC) value [0.15 (0.09, 0.26) mmol·s/kg] compared with WTs, BCAs, and MTs (all P<0.05). The K values for MTs were substantially lower [0.17 (0.10, 0.31) min] than those for WTs (P=0.01). The K values for MTs [0.71 (0.52, 1.28) min] were substantially lower (all P<0.05) than those for WTs and BCAs. PAs and BCAs had higher diffusion coefficient (D) values and lower diffusion kurtosis (K) values and relative K (rK) values than MTs and WTs. However, the D and K values did not differ significantly even in their relative values of PAs and BCAs (all P>0.05). By using logistic regression, the combination of K value and rK value further enhanced their discriminatory power between PAs and WTs [area under the ROC curve (AUC), 0.986], the combination of K and rK value further enhanced their discriminatory power between PAs and MTs (AUC, 0.915), and the combination of D and K value further enhanced their discriminatory power between BCAs and MTs (AUC, 0.909).
DKI and DCE-MRI can be used to differentiate PGTs quantitatively and can complement each other. The combined use of DKI and DCE-MRI parameters can improve the diagnostic accuracy of distinguishing PGTs.
腮腺肿瘤(PGTs)是涎腺肿瘤中最常见的良性肿瘤。然而,动态对比增强磁共振成像(DCE-MRI)和扩散峰度成像(DKI)参数的相对值对PGTs的诊断价值尚未得到广泛研究。因此,本研究旨在通过引入相对值的概念,评估DKI和DCE-MRI联合应用对PGTs的诊断性能。
收集2018年6月至2022年8月期间142例PGT患者的DCE-MRI和DKI成像数据。根据组织病理学将患者分为四组:恶性肿瘤(MTs)、多形性腺瘤(PAs)、沃辛瘤(WTs)和基底细胞腺瘤(BCAs)。所有MRI检查均使用配备20通道头颈线圈的3T MRI扫描仪进行。测定DCE-MRI和DKI的定量参数及其相对值。采用Kruskal-Wallis检验、Bonferroni校正的事后检验、单因素方差分析(ANOVA)和最小显著差异(LSD)法的事后检验以及受试者工作特征(ROC)曲线进行统计分析。设定统计学显著性为P<0.05。
只有DKI和DCE-MRI参数的联合应用能够可靠地将BCAs与其他PGTs区分开来。与WTs、BCAs和MTs相比,PAs的血浆向血管外细胞外间隙的转移常数(K)值[0.09(0.06,0.20)min]、相对K(rK)[-0.24(-0.64,1.00)]、血管外细胞外间隙向血浆的速率常数(K)值[0.32(0.22,0.53)min]、相对K(rK)[0.32(0.22,0.53)min]和初始曲线下面积(iAUC)值[0.15(0.09,0.26)mmol·s/kg]均最低(均P<0.05)。MTs的K值[0.17(0.10,0.31)min]显著低于WTs(P=0.01)。MTs的K值[0.71(0.52,1.28)min]显著低于WTs和BCAs(均P<0.05)。PAs和BCAs的扩散系数(D)值较高,扩散峰度(K)值和相对K(rK)值低于MTs和WTs。然而,即使是PAs和BCAs的相对值,其D和K值也没有显著差异(均P>0.05)。通过逻辑回归分析,K值和rK值的联合进一步提高了其对PAs和WTs的鉴别能力[ROC曲线下面积(AUC),0.986],K和rK值的联合进一步提高了其对PAs和MTs的鉴别能力(AUC,0.915),D和K值的联合进一步提高了其对BCAs和MTs的鉴别能力(AUC,0.909)。
DKI和DCE-MRI可用于定量鉴别PGTs,且二者可相互补充。DKI和DCE-MRI参数的联合应用可提高PGTs鉴别诊断的准确性。