放射组学补充了临床、放射和技术特征,以评估射频消融治疗结直肠癌肺转移的局部控制情况。
Radiomics complements clinical, radiological, and technical features to assess local control of colorectal cancer lung metastases treated with radiofrequency ablation.
机构信息
Department of Diagnostic and Interventional Oncological Imaging, Institut Bergonié, Regional Comprehensive Cancer of Nouvelle-Aquitaine, 229, cours de l'Argonne, F-33076, Bordeaux cedex, France.
Univ Bordeaux, Imotion EA 7435, F-33000, Bordeaux, France.
出版信息
Eur Radiol. 2021 Nov;31(11):8302-8314. doi: 10.1007/s00330-021-07998-4. Epub 2021 May 5.
OBJECTIVES
Radiofrequency ablation (RFA) of lung metastases of colorectal origin can improve patient survival and quality of life. Our aim was to identify pre- and per-RFA features predicting local control of lung metastases following RFA.
METHODS
This case-control single-center retrospective study included 119 lung metastases treated with RFA in 48 patients (median age: 60 years). Clinical, technical, and radiological data before and on early CT scan (at 48 h) were retrieved. After CT scan preprocessing, 64 radiomics features were extracted from pre-RFA and early control CT scans. Log-rank tests were used to detect categorical variables correlating with post-RFA local tumor progression-free survival (LTPFS). Radiomics prognostic scores (RPS) were developed on reproducible radiomics features using Monte-Carlo cross-validated LASSO Cox regressions.
RESULTS
Twenty-six of 119 (21.8%) nodules demonstrated local progression (median delay: 11.2 months). In univariate analysis, four non-radiomics variables correlated with post-RFA-LTPFS: nodule size (> 15 mm, p < 0.001), chosen electrode (with difference between covered array and nodule diameter < 20 mm or non-expandable electrode, p = 0.03), per-RFA intra-alveolar hemorrhage (IAH, p = 0.002), and nodule location into the ablation zone (not seen or in contact with borders, p = 0.005). The highest prognostic performance was reached with the multivariate model including a RPS built on 4 radiomics features from pre-RFA and early revaluation CT scans (cross-validated concordance index= 0.74) in which this RPS remained an independent predictor (cross-validated HR = 3.49, 95% confidence interval = [1.76 - 6.96]).
CONCLUSIONS
Technical, radiological, and radiomics features of the lung metastases before RFA and of the ablation zone at 48 h can help discriminate nodules at risk of local progression that could benefit from complementary local procedure.
KEY POINTS
• The highest prognostic performance to predict post-RFA LTPFS was reached with a parsimonious model including a radiomics score built with 4 radiomics features. • Nodule size, difference between electrode diameter, use of non-expandable electrode, per-RFA hemorrhage, and a tumor not seen or in contact with the ablation zone borders at 48-h CT were correlated with post-RFA LTPFS.
目的
射频消融(RFA)治疗结直肠来源的肺转移瘤可改善患者的生存和生活质量。我们的目的是确定 RFA 前和 RFA 期间的特征,以预测 RFA 后肺转移瘤的局部控制情况。
方法
本病例对照单中心回顾性研究纳入了 48 例患者的 119 个肺转移灶(中位年龄:60 岁),接受 RFA 治疗。我们回顾了 RFA 前和早期 CT 扫描(48 小时)时的临床、技术和影像学数据。在 CT 扫描预处理后,从 RFA 前和早期对照 CT 扫描中提取了 64 个放射组学特征。采用对数秩检验检测与 RFA 后局部肿瘤无进展生存期(LTPFS)相关的分类变量。使用蒙特卡罗交叉验证 LASSO Cox 回归,在可重复的放射组学特征上开发放射组学预后评分(RPS)。
结果
119 个结节中有 26 个(21.8%)出现局部进展(中位延迟时间:11.2 个月)。单因素分析显示,4 个非放射组学变量与 RFA 后-LTPFS 相关:结节大小(>15mm,p<0.001)、选择的电极(覆盖阵列与结节直径之差<20mm 或不可扩展电极,p=0.03)、RFA 后肺泡内出血(IAH,p=0.002)和结节在消融区域内的位置(未被看见或与边界接触,p=0.005)。在包括 4 个 RFA 前和早期再评估 CT 扫描的放射组学特征的多变量模型中,达到了最高的预后性能(交叉验证一致性指数=0.74),其中该 RPS 仍然是一个独立的预测因素(交叉验证 HR=3.49,95%置信区间[1.76-6.96])。
结论
RFA 前的肺转移瘤的技术、放射学和放射组学特征以及 48 小时时的消融区域特征可帮助区分有局部进展风险的结节,这些结节可能受益于补充性局部治疗。
关键点
• 预测 RFA 后 LTPFS 的最高预后性能是通过一个包含 4 个放射组学特征的放射组学评分模型实现的。• 结节大小、电极直径差异、使用不可扩展电极、RFA 后出血以及 48 小时 CT 上未见到或与消融区边界接触的肿瘤与 RFA 后 LTPFS 相关。