Di Geng, Liu-Ning Zhu, Jun Liu, Xian-Ce Zhao, Yi-Shi Wang, Xiao-Quan Xu, Fei-Yun Wu
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However, the value of t<sub>d</sub>-dMRI in the analysis of parotid gland tumors remains unclear.</p><p><strong>Purpose: </strong>To investigate the value of quantitative parameters derived from t<sub>d</sub>-dMRI in the analysis of parotid gland tumors.</p><p><strong>Material and methods: </strong>In total, 39 patients with parotid gland tumors were prospectively enrolled, including 24 patients with polymorphic adenomas (PAs), eight with Warthin's tumors (WTs), and seven with malignant tumors (MTs). T<sub>d</sub>-dMRI was performed for preoperative evaluation. Intracellular volume fraction (<i>V</i><sub>in</sub>), mean cell size (<i>d</i>), extracellular diffusion coefficient (<i>D</i><sub>ex</sub>), and cellularity were obtained based on the Imaging Microstructural Parameters Using Limited Spectrally Edited Diffusion model, and compared among the three groups. One-way ANOVA, Kruskal-Wallis test, and receiver operating characteristic (ROC) curve analysis were performed for further statistical analysis as appropriate.</p><p><strong>Results: </strong>Significant differences were found in all t<sub>d</sub>-dMRI-derived indexes among PAs, WTs, and MTs (all <i>P</i> < 0.05). <i>V</i><sub>in</sub> was the sole parameter with significant differences for all sub-group comparisons (PAs vs. WTs, <i>P</i> < 0.001; PAs vs. MTs, <i>P</i> = 0.031; WTs vs. MTs, <i>P</i> = 0.047). With <i>V</i><sub>in</sub> values of 0.267, 0.231, and 0.260 as threshold, respectively, optimal performance levels were obtained for differentiating PAs from WTs (area under the ROC curve [AUC]=0.932, sensitivity=0.917, and specificity=0.875), PAs from MTs (AUC=0.744, sensitivity=0.833, and specificity=0.714), and WTs from MTs (AUC=0.750, sensitivity=0.875, and specificity=0.714).</p><p><strong>Conclusion: </strong>Microstructural parameters derived from t<sub>d</sub>-dMRI, especially <i>V</i><sub>in</sub>, might be promising imaging biomarkers for characterizing parotid gland tumors.</p>","PeriodicalId":7143,"journal":{"name":"Acta radiologica","volume":" ","pages":"2841851241313108"},"PeriodicalIF":1.1000,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Time-dependent diffusion magnetic resonance imaging for the analysis of parotid gland tumors.\",\"authors\":\"Di Geng, Liu-Ning Zhu, Jun Liu, Xian-Ce Zhao, Yi-Shi Wang, Xiao-Quan Xu, Fei-Yun Wu\",\"doi\":\"10.1177/02841851241313108\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Different parotid tumors differ in terms of treatment strategies due to their distinct biological behaviors. Time-dependent diffusion magnetic resonance imaging (t<sub>d</sub>-dMRI) can characterize and quantify the cytological indexes, and then aid the differential diagnosis of various tumors. However, the value of t<sub>d</sub>-dMRI in the analysis of parotid gland tumors remains unclear.</p><p><strong>Purpose: </strong>To investigate the value of quantitative parameters derived from t<sub>d</sub>-dMRI in the analysis of parotid gland tumors.</p><p><strong>Material and methods: </strong>In total, 39 patients with parotid gland tumors were prospectively enrolled, including 24 patients with polymorphic adenomas (PAs), eight with Warthin's tumors (WTs), and seven with malignant tumors (MTs). T<sub>d</sub>-dMRI was performed for preoperative evaluation. Intracellular volume fraction (<i>V</i><sub>in</sub>), mean cell size (<i>d</i>), extracellular diffusion coefficient (<i>D</i><sub>ex</sub>), and cellularity were obtained based on the Imaging Microstructural Parameters Using Limited Spectrally Edited Diffusion model, and compared among the three groups. One-way ANOVA, Kruskal-Wallis test, and receiver operating characteristic (ROC) curve analysis were performed for further statistical analysis as appropriate.</p><p><strong>Results: </strong>Significant differences were found in all t<sub>d</sub>-dMRI-derived indexes among PAs, WTs, and MTs (all <i>P</i> < 0.05). <i>V</i><sub>in</sub> was the sole parameter with significant differences for all sub-group comparisons (PAs vs. WTs, <i>P</i> < 0.001; PAs vs. MTs, <i>P</i> = 0.031; WTs vs. MTs, <i>P</i> = 0.047). 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引用次数: 0
摘要
背景：不同的腮腺肿瘤由于其不同的生物学行为，其治疗策略也不同。时间依赖扩散磁共振成像（td-dMRI）可以表征和量化细胞学指标，从而有助于各种肿瘤的鉴别诊断。然而，td-dMRI在腮腺肿瘤分析中的价值尚不清楚。目的：探讨td-dMRI定量参数在腮腺肿瘤分析中的应用价值。材料与方法：共前瞻性纳入39例腮腺肿瘤患者，其中多形性腺瘤（PAs）患者24例，Warthin肿瘤（WTs）患者8例，恶性肿瘤（MTs）患者7例。术前行Td-dMRI检查。基于使用有限光谱编辑扩散模型的成像显微结构参数获得细胞内体积分数（Vin），平均细胞大小(d)，细胞外扩散系数（Dex）和细胞度，并比较三组之间的差异。采用单因素方差分析、Kruskal-Wallis检验和受试者工作特征（ROC）曲线分析进行进一步统计分析。结果：PAs、WTs和MTs之间的所有td- dmri衍生指标均存在显著差异(所有P Vin是所有亚组比较中唯一存在显著差异的参数(PAs vs. WTs, P P = 0.031；WTs vs. MTs, P = 0.047)。以Vin值分别为0.267、0.231和0.260为阈值，获得了区分PAs与WTs （ROC曲线下面积[AUC]=0.932，灵敏度=0.917，特异性=0.875）、PAs与MTs （AUC=0.744，灵敏度=0.833，特异性=0.714）、WTs与MTs （AUC=0.750，灵敏度=0.875，特异性=0.714）的最佳表现水平。结论：由td-dMRI获得的显微结构参数，尤其是Vin，可能是腮腺肿瘤表征的有前途的成像生物标志物。
Time-dependent diffusion magnetic resonance imaging for the analysis of parotid gland tumors.
Background: Different parotid tumors differ in terms of treatment strategies due to their distinct biological behaviors. Time-dependent diffusion magnetic resonance imaging (td-dMRI) can characterize and quantify the cytological indexes, and then aid the differential diagnosis of various tumors. However, the value of td-dMRI in the analysis of parotid gland tumors remains unclear.
Purpose: To investigate the value of quantitative parameters derived from td-dMRI in the analysis of parotid gland tumors.
Material and methods: In total, 39 patients with parotid gland tumors were prospectively enrolled, including 24 patients with polymorphic adenomas (PAs), eight with Warthin's tumors (WTs), and seven with malignant tumors (MTs). Td-dMRI was performed for preoperative evaluation. Intracellular volume fraction (Vin), mean cell size (d), extracellular diffusion coefficient (Dex), and cellularity were obtained based on the Imaging Microstructural Parameters Using Limited Spectrally Edited Diffusion model, and compared among the three groups. One-way ANOVA, Kruskal-Wallis test, and receiver operating characteristic (ROC) curve analysis were performed for further statistical analysis as appropriate.
Results: Significant differences were found in all td-dMRI-derived indexes among PAs, WTs, and MTs (all P < 0.05). Vin was the sole parameter with significant differences for all sub-group comparisons (PAs vs. WTs, P < 0.001; PAs vs. MTs, P = 0.031; WTs vs. MTs, P = 0.047). With Vin values of 0.267, 0.231, and 0.260 as threshold, respectively, optimal performance levels were obtained for differentiating PAs from WTs (area under the ROC curve [AUC]=0.932, sensitivity=0.917, and specificity=0.875), PAs from MTs (AUC=0.744, sensitivity=0.833, and specificity=0.714), and WTs from MTs (AUC=0.750, sensitivity=0.875, and specificity=0.714).
Conclusion: Microstructural parameters derived from td-dMRI, especially Vin, might be promising imaging biomarkers for characterizing parotid gland tumors.
期刊介绍：
Acta Radiologica publishes articles on all aspects of radiology, from clinical radiology to experimental work. It is known for articles based on experimental work and contrast media research, giving priority to scientific original papers. The distinguished international editorial board also invite review articles, short communications and technical and instrumental notes.
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