Automated feature quantification of Lipiodol as imaging biomarker to predict therapeutic efficacy of conventional transarterial chemoembolization of liver cancer.
Automated feature quantification of Lipiodol as imaging biomarker to predict therapeutic efficacy of conventional transarterial chemoembolization of liver cancer.
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DOI：
10.1038/s41598-020-75120-7
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发表时间：
2020-10-22
影响因子：
4.6
通讯作者：
Chapiro J
中科院分区：
文献类型：
--
作者：
Stark S;Wang C;Savic LJ;Letzen B;Schobert I;Miszczuk M;Murali N;Oestmann P;Gebauer B;Lin M;Duncan J;Schlachter T;Chapiro J
常规经动脉化疗栓塞（cTACE）是指南批准的影像引导治疗肝癌的选择，使用不透射线的药物载体和微栓塞剂碘油，碘油先前已被确定为肿瘤缓解的成像生物标志物。建立cTACE后24小时CT上碘油沉积的自动定量和基于模式的图像分析技术，作为治疗反应的生物标志物。使用Hounsfield单位阈值自动量化65处肝脏病变中碘油沉积的密度。自动评估肿瘤内碘油沉积的模式，包括均匀性、稀疏性、边缘和外周沉积。碘油沉积与基线和随访MRI上的增强肿瘤体积（ETV）相关。基线MRI上的ETV与24小时CT上的碘油沉积密切相关（p < 0.0001），存活肿瘤区域的碘油比坏死肿瘤区域多8.22% ± 14.59。随访时，有碘油的肿瘤区域的ETV降低率高于无碘油的区域（p = 0.0475），碘油密度的增加增强了该效应。此外，碘油的均匀性（p = 0.0006）、非稀疏性（p < 0.0001）、稀疏肿瘤内的边缘沉积（p = 0.045）和外周沉积（p < 0.0001）显示缓解改善。这项技术创新研究表明，碘油沉积物的自动化阈值体积特征表征是可行的，并且能够实际使用碘油作为cTACE后疗效的成像生物标志物。
Conventional transarterial chemoembolization (cTACE) is a guideline-approved image-guided therapy option for liver cancer using the radiopaque drug-carrier and micro-embolic agent Lipiodol, which has been previously established as an imaging biomarker for tumor response. To establish automated quantitative and pattern-based image analysis techniques of Lipiodol deposition on 24 h post-cTACE CT as biomarker for treatment response. The density of Lipiodol deposits in 65 liver lesions was automatically quantified using Hounsfield Unit thresholds. Lipiodol deposition within the tumor was automatically assessed for patterns including homogeneity, sparsity, rim, and peripheral deposition. Lipiodol deposition was correlated with enhancing tumor volume (ETV) on baseline and follow-up MRI. ETV on baseline MRI strongly correlated with Lipiodol deposition on 24 h CT (p < 0.0001), with 8.22% ± 14.59 more Lipiodol in viable than necrotic tumor areas. On follow-up, tumor regions with Lipiodol showed higher rates of ETV reduction than areas without Lipiodol (p = 0.0475) and increasing densities of Lipiodol enhanced this effect. Also, homogeneous (p = 0.0006), non-sparse (p < 0.0001), rim deposition within sparse tumors (p = 0.045), and peripheral deposition (p < 0.0001) of Lipiodol showed improved response. This technical innovation study showed that an automated threshold-based volumetric feature characterization of Lipiodol deposits is feasible and enables practical use of Lipiodol as imaging biomarker for therapeutic efficacy after cTACE.
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影响因子：
5.9
作者：
Chockalingam, Arun;Duran, Rafael;Lin, MingDe
通讯作者：
Lin, MingDe
影响因子：
5
作者：
Monsky, Wayne L.;Kim, Isaac;Badawi, Ramsey D.
通讯作者：
Badawi, Ramsey D.
影响因子：
19.7
作者：
deBaere, T;Zhang, XW;Roche, A
通讯作者：
Roche, A
影响因子：
5.9
作者：
Najmi Varzaneh F;Pandey A;Aliyari Ghasabeh M;Shao N;Khoshpouri P;Pandey P;Zarghampour M;Fouladi D;Liddell R;Anders RA;Kamel IR
通讯作者：
Kamel IR
DOI：
10.1016/j.jvir.2012.08.028
发表时间：
2012-12-01
影响因子：
2.9
作者：
Lin, MingDe;Pellerin, Olivier;Geschwind, Jean-Francois
通讯作者：
Geschwind, Jean-Francois