Kushwaha Mohini, Kumar Jyoti, Garg Anju, Singh Ishwar, Khurana Nita
Department of Radiodiagnosis, MaulanaAzadMedical College, New Delhi, Delhi, India.
Department of Otorhinolaryngology, Head and Neck Surgery, MaulanaAzadMedical College, New Delhi, Delhi, India.
Pol J Radiol. 2023 Apr 14;88:e203-e215. doi: 10.5114/pjr.2023.127058. eCollection 2023.
To determine the role of functional magnetic resonance imaging techniques (diffusion-weighted magnetic resonance imaging [DW-MRI] and dynamic contrast-enhanced magnetic resonance imaging [DCE-MRI]) in the differentiation of various salivary gland tumours.
In this prospective study, we evaluated 32 patients with salivary gland tumours using functional MRI. Diffusion parameters (mean apparent diffusion coefficient [ADC], normalized ADC and homogeneity index [HI]),semiquantitative DCE parameters (time signal intensity curves [TICs]) and quantitative DCE parameters (K, K and V) were analysed. Diagnostic efficiencies of all these parameters were determined to differentiate benign and malignant tumours as well as to characterize 3 major subgroups of salivary gland tumours, namely pleomorphic adenoma, Warthin tumour, and malignant tumours.
Mean ADC, normalized ADC and HI were insignificant in differentiating benign and malignant tumours but were significant in differentiating pleomorphic adenomas, Warthin tumours, and malignant tumours. Mean ADC was the best parameter in predicting both pleomorphic adenomas and Warthin tumours (AUC: 0.95 and 0.89, respectively). Amongst DCE parameters, only TIC pattern could differentiate between benign and malignant tumours, with an accuracy of 93.75% (AUC: 0.94). The quantitative perfusion parameters aided greatly in characterizing pleomorphic adenomas, Warthin tumours and malignant tumours. For predicting pleomorphic adenomas, the accuracy of K and K was 96.77% (AUC: 0.98) and 93.55% (AUC: 0.95), respectively and for predicting Warthin tumours, the accuracy of both K and K was 96.77% (AUC: 0.97).
DCE parameters (particularly TIC, K and K) had higher accuracy in characterizing various tumour subgroups (pleomorphic adenomas, Warthin tumours, and malignant tumours) than DWI parameters. Hence, dynamic contrast-enhanced imaging adds immense value with only a minimum time penalty to the examination.
确定功能磁共振成像技术(扩散加权磁共振成像[DW-MRI]和动态对比增强磁共振成像[DCE-MRI])在鉴别各种唾液腺肿瘤中的作用。
在这项前瞻性研究中,我们使用功能磁共振成像对32例唾液腺肿瘤患者进行了评估。分析了扩散参数(平均表观扩散系数[ADC]、标准化ADC和均匀性指数[HI])、半定量DCE参数(时间信号强度曲线[TICs])和定量DCE参数(K、K*和V)。确定所有这些参数在鉴别良性和恶性肿瘤以及对唾液腺肿瘤的三个主要亚组(即多形性腺瘤、沃辛瘤和恶性肿瘤)进行特征性诊断方面的效率。
平均ADC、标准化ADC和HI在鉴别良性和恶性肿瘤方面无显著差异,但在鉴别多形性腺瘤沃辛瘤和恶性肿瘤方面有显著差异。平均ADC是预测多形性腺瘤和沃辛瘤的最佳参数(AUC分别为0.95和0.89)。在DCE参数中,只有TIC模式能够鉴别良性和恶性肿瘤,准确率为93.75%(AUC为0.94)。定量灌注参数在多形性腺瘤、沃辛瘤和恶性肿瘤的特征性诊断中发挥了很大作用。预测多形性腺瘤时,K和K的准确率分别为96.77%(AUC为0.98)和93.55%(AUC为0.95);预测沃辛瘤时,K和K的准确率均为96.77%(AUC为0.97)。
DCE参数(特别是TIC、K和K*)在鉴别各种肿瘤亚组(多形性腺瘤、沃辛瘤和恶性肿瘤)方面比DWI参数具有更高的准确性。因此,动态对比增强成像在仅增加最少检查时间的情况下,为检查增添了巨大价值。