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应用分数阶微积分模型的扩散加权成像对唾液腺肿瘤进行鉴别诊断。

Differentiation of salivary gland tumor using diffusion-weighted imaging with a fractional order calculus model.

机构信息

Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.

Department of Stomatology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.

出版信息

Br J Radiol. 2020 Sep 1;93(1113):20200052. doi: 10.1259/bjr.20200052. Epub 2020 Jul 10.

Abstract

OBJECTIVE

To evaluate the feasibility of using imaging parameters (D, β and μ) obtained from fractional order calculus (FROC) diffusion model to differentiate salivary gland tumors.

METHODS

15 b-value (0-2000 s/mm) diffusion-weighted imaging (DWI) was scanned in 62 patients with salivary gland tumors (47 benign and 15 malignant). Diffusion coefficient D, fractional order parameter β (which correlates with tissue heterogeneity) and a microstructural quantity μ of the solid portion within the tumor were calculated, and compared between benign and malignant groups, or among pleomorphic adenoma (PA), Warthin's tumor (WT), and malignant tumor (MT) groups. Performance of FROC parameters for differentiation was assessed using receiver operating characteristic analysis.

RESULTS

None of the FROC parameters exhibited significant differences between benign and malignant group (D, = 0.150; β, = 0.967; μ, = 0.693). WT showed significantly lower D ( < 0.001) and β ( < 0.001), while higher μ ( = 0.001) than PA. Combination of D, β and μ showed optimal diagnostic performance (area under the curve, AUC, 0.998). MT showed significantly lower D ( = 0.001) and β ( = 0.025) than PA, while no significant difference was found on μ ( = 0.064). Combination of D and β showed optimal diagnostic performance (AUC, 0.933). Significant difference was found on β ( = 0.027) between MT and WT, while not on D ( = 0.806) and μ ( = 0.789). Setting a βof 0.615 as the cut-off value, optimal diagnostic performance could be obtained (AUC = 0.806).

CONCLUSION

A non-Gaussian FROC diffusion model can serve as a noninvasive and quantitative imaging technique for differentiating salivary gland tumors.

ADVANCES IN KNOWLEDGE

(1) PA showed higher D and β and lower μ than WT. (2) PA had higher D and β than MT. (3) WT demonstrated lower β than MT. (4) β, as a new FROC parameter, could offer an added value to the differentiation.

摘要

目的

评估使用分数阶微积分(FROC)扩散模型获得的成像参数(D、β和μ)区分涎腺肿瘤的可行性。

方法

对 62 例涎腺肿瘤患者(良性 47 例,恶性 15 例)进行 15 个 b 值(0-2000 s/mm)弥散加权成像(DWI)扫描。计算肿瘤内弥散系数 D、分数阶参数β(与组织异质性相关)和固体部分的微观结构数量μ,并比较良性和恶性组、多形性腺瘤(PA)、Warthin 瘤(WT)和恶性肿瘤(MT)组之间的差异。使用受试者工作特征(ROC)分析评估 FROC 参数对分化的性能。

结果

FROC 参数在良性和恶性组之间无显著差异(D,=0.150;β,=0.967;μ,=0.693)。WT 的 D(<0.001)和β(<0.001)明显低于 PA,而μ(=0.001)明显高于 PA。D、β和μ的组合显示出最佳的诊断性能(曲线下面积,AUC,0.998)。MT 的 D(=0.001)和β(=0.025)明显低于 PA,而μ(=0.064)无显著差异。D 和β的组合显示出最佳的诊断性能(AUC,0.933)。MT 的β(=0.027)与 WT 有显著差异,而 D(=0.806)和μ(=0.789)无显著差异。当β设定为 0.615 作为截断值时,可获得最佳诊断性能(AUC=0.806)。

结论

非高斯 FROC 扩散模型可作为一种无创、定量的成像技术,用于区分涎腺肿瘤。

知识进展

(1)PA 的 D 和β高于 WT,μ低于 WT。(2)PA 的 D 和β高于 MT。(3)WT 的β低于 MT。(4)β作为一个新的 FROC 参数,对鉴别诊断具有附加价值。

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