Ruiter Simeon J S, Tinguely Pascale, Paolucci Iwan, Engstrand Jennie, Candinas Daniel, Weber Stefan, de Haas Robbert J, de Jong Koert P, Freedman Jacob
Department of Hepato-Pancreato-Biliary Surgery and Liver Transplantation, University Medical Center Groningen, University of Groningen, Groningen, Netherlands.
Division of Surgery, Department of Clinical Sciences, Karolinska Institutet at Danderyd Hospital, Stockholm, Sweden.
Front Oncol. 2021 Nov 15;11:757167. doi: 10.3389/fonc.2021.757167. eCollection 2021.
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 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.
已有人描述使用软件对肝脏肿瘤进行热消融后进行三维(3D)体积消融边缘评估,但在考虑其他已知与消融部位复发(ASR)相关的因素时,其对治疗效果的预测价值仍不清楚。
研究三维定量消融边缘(3D-QAM)作为一种算法,以预测立体定向微波消融(SMWA)治疗结直肠癌肝转移(CRLM)后1年内的ASR。
这项回顾性3D-QAM分析纳入了一项对接受CRLM的SMWA患者的前瞻性多中心研究中47例患者的65个肿瘤。使用先前开发的算法,在配准的消融前和消融后CT扫描中评估定义为肿瘤到消融表面距离分布的3D-QAM。使用受试者操作特征(ROC)曲线评估3D-QAM的鉴别能力和最佳截断值。应用广义估计方程进行多变量逻辑回归分析,以研究各种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分析确定:i)肿瘤表面>23%的3D-QAM<1mm;ii)肿瘤表面>45%的3D-QAM<5mm;iii)最小消融边缘(MAM)是具有最佳鉴别质量的3D-QAM输出。不包括3D-QAM的多变量回归模型得出肿瘤直径和突变是1年ASR的预测因子。当加入3D-QAM时,该因素成为1年ASR的主要预测因子[如果定义为>23%<1mm,比值比(OR)为21.67(CI 2.48,165.21);如果定义为MAM,OR为0.52(CI 0.29,0.95)]。
3D-QAM允许对SMWA后消融区对肿瘤的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的SMWA后1年内ASR的最重要因素。