PDF(Pubmed)
Abstract：
UNASSIGNED: To evaluate the feasibility of synthetic MRI for quantitative and morphologic assessment of head and neck tumors and compare the results with the conventional MRI approach.
UNASSIGNED: A total of 92 patients with different head and neck tumor histology who underwent conventional and synthetic MRI were retrospectively recruited. The quantitative T1, T2, proton density (PD), and apparent diffusion coefficient (ADC) values of 38 benign and 54 malignant tumors were measured and compared. Diagnostic efficacy for differentiating malignant and benign tumors was evaluated with receiver operating characteristic (ROC) analysis and integrated discrimination index. The image quality of conventional and synthetic T1W/T2W images on a 5-level Likert scale was also compared with Wilcoxon signed rank test.
UNASSIGNED: T1, T2 and ADC values of malignant head and neck tumors were smaller than those of benign tumors (all p < 0.05). T2 and ADC values showed better diagnostic efficacy than T1 for distinguishing malignant tumors from benign tumors (both p < 0.05). Adding the T2 value to ADC increased the area under the curve from 0.839 to 0.886, with an integrated discrimination index of 4.28% (p < 0.05). In terms of overall image quality, synthetic T2W images were comparable to conventional T2W images, while synthetic T1W images were inferior to conventional T1W images.
UNASSIGNED: Synthetic MRI can facilitate the characterization of head and neck tumors by providing quantitative relaxation parameters and synthetic T2W images. T2 values added to ADC values may further improve the differentiation of tumors.
UNASSIGNED: A total of 92 patients with different head and neck tumor histology who underwent conventional and synthetic MRI were retrospectively recruited. The quantitative T1, T2, proton density (PD), and apparent diffusion coefficient (ADC) values of 38 benign and 54 malignant tumors were measured and compared. Diagnostic efficacy for differentiating malignant and benign tumors was evaluated with receiver operating characteristic (ROC) analysis and integrated discrimination index. The image quality of conventional and synthetic T1W/T2W images on a 5-level Likert scale was also compared with Wilcoxon signed rank test.
UNASSIGNED: T1, T2 and ADC values of malignant head and neck tumors were smaller than those of benign tumors (all p < 0.05). T2 and ADC values showed better diagnostic efficacy than T1 for distinguishing malignant tumors from benign tumors (both p < 0.05). Adding the T2 value to ADC increased the area under the curve from 0.839 to 0.886, with an integrated discrimination index of 4.28% (p < 0.05). In terms of overall image quality, synthetic T2W images were comparable to conventional T2W images, while synthetic T1W images were inferior to conventional T1W images.
UNASSIGNED: Synthetic MRI can facilitate the characterization of head and neck tumors by providing quantitative relaxation parameters and synthetic T2W images. T2 values added to ADC values may further improve the differentiation of tumors.
摘要：
■评估合成MRI对头颈部肿瘤的定量和形态学评估的可行性，并将结果与常规MRI方法进行比较。
■回顾性招募了92例头颈部肿瘤组织学不同的患者，他们接受了常规和合成MRI。定量T1，T2，质子密度（PD），测量并比较38例良性肿瘤和54例恶性肿瘤的表观扩散系数（ADC）值。通过受试者工作特征（ROC）分析和综合判别指数评估区分恶性和良性肿瘤的诊断效能。还将5级Likert量表上的常规和合成T1W/T2W图像的图像质量与Wilcoxon符号秩检验进行了比较。
■头颈部恶性肿瘤的T1，T2和ADC值均小于良性肿瘤（均p<0.05）。T2和ADC值在区分恶性肿瘤和良性肿瘤方面显示出比T1更好的诊断效力(均p<0.05)。将T2值添加到ADC中，曲线下面积从0.839增加到0.886，综合辨别指数为4.28％（p<0.05）。在整体图像质量方面，合成T2W图像与传统T2W图像相当，而合成的T1W图像劣于传统的T1W图像。
■合成MRI可以通过提供定量的松弛参数和合成的T2W图像来促进头颈部肿瘤的表征。将T2值添加到ADC值可以进一步改善肿瘤的分化。
■回顾性招募了92例头颈部肿瘤组织学不同的患者，他们接受了常规和合成MRI。定量T1，T2，质子密度（PD），测量并比较38例良性肿瘤和54例恶性肿瘤的表观扩散系数（ADC）值。通过受试者工作特征（ROC）分析和综合判别指数评估区分恶性和良性肿瘤的诊断效能。还将5级Likert量表上的常规和合成T1W/T2W图像的图像质量与Wilcoxon符号秩检验进行了比较。
■头颈部恶性肿瘤的T1，T2和ADC值均小于良性肿瘤（均p<0.05）。T2和ADC值在区分恶性肿瘤和良性肿瘤方面显示出比T1更好的诊断效力(均p<0.05)。将T2值添加到ADC中，曲线下面积从0.839增加到0.886，综合辨别指数为4.28％（p<0.05）。在整体图像质量方面，合成T2W图像与传统T2W图像相当，而合成的T1W图像劣于传统的T1W图像。
■合成MRI可以通过提供定量的松弛参数和合成的T2W图像来促进头颈部肿瘤的表征。将T2值添加到ADC值可以进一步改善肿瘤的分化。
