Texture analysis on parametric maps derived from dynamic contrast-enhanced magnetic resonance imaging in head and neck cancer

Texture analysis on parametric maps derived from dynamic contrast-enhanced magnetic resonance imaging in head and neck cancer
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DOI:
10.4329/wjr.v8.i1.90
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发表时间:
2016-01-28
影响因子:
2.5
通讯作者:
Shukla-Dave, Amita
Shukla-Dave, Amita
中科院分区:
其他
文献类型:
--
作者:
Jansen, Jacobus F. A.;Lu, Yonggang;Shukla-Dave, Amita

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目的:研究动态对比增强磁共振成像(DCE-MRI)作为影像学生物标志物预测头颈部鳞状细胞癌(HNSCC.METHODS)患者治疗反应的药代动力学模型参数图纹理分析的优点:在这项回顾性研究中,19例HNSCC患者在1.5T MRI扫描仪上进行治疗前和治疗中的DCE-MRI扫描。所有患者均接受了放化疗治疗。对采集的DCE-MRI图像进行药代动力学建模,生成体积转移率(K-transs)和血管外细胞外间隙体积分数(v(e))图。结果:治疗前后K-transs和v(e)的均值和标准差均无显著性差异(P> 0.09),治疗前后K-transs和v(e)的均值和标准差均无显著性差异(P > 0.05)。纹理分析显示,治疗中的影像学标志物E(v(e))显著高于治疗前(P < 0.04)。
AIM: To investigate the merits of texture analysis on parametric maps derived from pharmacokinetic modeling with dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) as imaging biomarkers for the prediction of treatment response in patients with head and neck squamous cell carcinoma (HNSCC).METHODS: In this retrospective study, 19 HNSCC patients underwent pre- and intra-treatment DCE-MRI scans at a 1.5T MRI scanner. All patients had chemo-radiation treatment. Pharmacokinetic modeling was performed on the acquired DCE-MRI images, generating maps of volume transfer rate (K-trans) and volume fraction of the extravascular extracellular space (v(e)). Image texture analysis was then employed on maps of K-trans and v(e), generating two texture measures: Energy (E) and homogeneity.RESULTS: No significant changes were found for the mean and standard deviation for K-trans and v(e) between pre- and intra-treatment (P > 0.09). Texture analysis revealed that the imaging biomarker E of v(e) was significantly higher in intra-treatment scans, relative to pretreatment scans (P < 0.04).CONCLUSION: Chemo-radiation treatment in HNSCC significantly reduces the heterogeneity of tumors.