3D Quantitative Ablation Margins for Prediction of Ablation Site Recurrence After Stereotactic Image-Guided Microwave Ablation of Colorectal Liver Metastases: A Multicenter Study.
3D Quantitative Ablation Margins for Prediction of Ablation Site Recurrence After Stereotactic Image-Guided Microwave Ablation of Colorectal Liver Metastases: A Multicenter Study.
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DOI：
10.3389/fonc.2021.757167
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发表时间：
2021
影响因子：
4.7
通讯作者：
Freedman J
中科院分区：
文献类型：
--
作者：
Ruiter SJS;Tinguely P;Paolucci I;Engstrand J;Candinas D;Weber S;de Haas RJ;de Jong KP;Freedman J
已经描述了使用软件进行肝肿瘤热消融后的三维（3D）体积消融边缘评估，但在考虑已知与消融部位复发（ASR）相关的其他因素时，其对治疗疗效的预测价值仍未知。研究3D定量消融边缘（3D-QAM）作为预测结直肠肝转移瘤（CRLM）立体定向微波消融（SMWA）后1年内ASR的算法。这项回顾性3D-QAM分析纳入了来自一项前瞻性多中心研究的47例患者的65个肿瘤，该研究的患者接受SMWA治疗CRLM。使用先前开发的算法，在共配准的消融前和消融后CT扫描中评估3D-QAM（定义为肿瘤到消融表面距离的分布）。使用受试者工作特征（ROC）曲线评估3D-QAM的区分能力和最佳截止值。使用广义估计方程的多变量逻辑回归分析被应用于研究各种3D-QAM输出对1年ASR的影响，同时考虑其他已知的影响因素。纳入3D-QAM分析的65个肿瘤中有10个（15.4%）发生了ASR。ROC分析将i）<1 mm for >肿瘤表面的3D-QAM 23%，ii）3D-QAM <5 mm for >45%，以及iii）最小消融裕度（MAM）确定为具有最佳区分质量的3D-QAM输出。无3D-QAM的多变量回归模型将肿瘤直径和KRAS突变作为1年ASR的预测因子。当添加3D-QAM时，该因素成为1年ASR的主要预测因素[如果定义为>23% <1 mm，则比值比（OR）为21.67（CI 2.48，165.21）;如果定义为MAM，则OR为0.52（CI 0.29，0.95）]。3D-QAM允许对SMWA后消融区的肿瘤覆盖进行客观和标准化评估。我们的数据表明，3D-QAM是预测CRLM SMWA后1年内ASR的最重要因素。
Three-dimensional (3D) volumetric ablation margin assessment after thermal ablation of liver tumors using software has been described, but its predictive value on treatment efficacy when accounting for other factors known to correlate ablation site recurrence (ASR) remains unknown. To investigate 3D quantitative ablation margins (3D-QAMs) as an algorithm to predict ASR within 1 year after stereotactic microwave ablation (SMWA) for colorectal liver metastases (CRLM). Sixty-five tumors in 47 patients from a prospective multicenter study of patients undergoing SMWA for CRLM were included in this retrospective 3D-QAM analysis. Using a previously developed algorithm, 3D-QAM defined as the distribution of tumor to ablation surface distances was assessed in co-registered pre- and post-ablation CT scans. The discriminatory power and optimal cutoff values for 3D-QAM were assessed using receiver operating characteristic (ROC) curves. Multivariable logistic regression analysis using generalized estimating equations was applied to investigate the impact of various 3D-QAM outputs on 1-year ASR while accounting for other known influencing factors. Ten of the 65 (15.4%) tumors included for 3D-QAM analysis developed ASR. ROC analyses identified i) 3D-QAM <1 mm for >23% of the tumor surface, ii) 3D-QAM <5 mm for >45%, and iii) the minimal ablation margin (MAM) as the 3D-QAM outputs with optimal discriminatory qualities. The multivariable regression model without 3D-QAM yielded tumor diameter and KRAS mutation as 1-year ASR predictors. When adding 3D-QAM, this factor became the main predictor of 1-year ASR [odds ratio (OR) 21.67 (CI 2.48, 165.21) if defined as >23% <1 mm; OR 0.52 (CI 0.29, 0.95) if defined as MAM]. 3D-QAM allows objectifiable and standardized assessment of tumor coverage by the ablation zone after SMWA. Our data shows that 3D-QAM represents the most important factor predicting ASR within 1 year after SMWA of CRLM.
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影响因子：
1.8
作者：
Kele PG;Van der Jagt EJ;Krabbe PF;de Jong KP
通讯作者：
de Jong KP
DOI：
10.1002/bjs.10490
发表时间：
2017-05
期刊：
The British journal of surgery
影响因子：
--
作者：
Odisio BC;Yamashita S;Huang SY;Harmoush S;Kopetz SE;Ahrar K;Shin Chun Y;Conrad C;Aloia TA;Gupta S;Hicks ME;Vauthey JN
通讯作者：
Vauthey JN
影响因子：
3.8
作者：
通讯作者：
--
DOI：
10.1016/j.jvir.2017.10.026
发表时间：
2018-03
期刊：
Journal of vascular and interventional radiology : JVIR
影响因子：
--
作者：
Odisio BC;Yamashita S;Huang SY;Kopetz SE;Ahrar K;Mizuno T;Conrad C;Aloia TA;Chun YS;Gupta S;Vauthey JN
通讯作者：
Vauthey JN
影响因子：
4.7
作者：
Sandu RM;Paolucci I;Ruiter SJS;Sznitman R;de Jong KP;Freedman J;Weber S;Tinguely P
通讯作者：
Tinguely P