Radiomics analysis at PET/CT contributes to prognosis of recurrence and survival in lung cancer treated with stereotactic body radiotherapy.

Radiomics analysis at PET/CT contributes to prognosis of recurrence and survival in lung cancer treated with stereotactic body radiotherapy.
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DOI:
10.1038/s41598-018-22357-y
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发表时间:
2018-03-05
期刊:
影响因子:
4.6
通讯作者:
Cheung P
Cheung P
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Oikonomou A;Khalvati F;Tyrrell PN;Haider MA;Tarique U;Jimenez-Juan L;Tjong MC;Poon I;Eilaghi A;Ehrlich L;Cheung P

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我们试图量化PET/CT的放射组学和SUVmax的贡献,以预测接受立体定向体部放疗(SBRT)治疗的肺癌患者的临床结局。回顾性纳入接受SBRT的150例172例肺癌患者。放射组学应用于PET/CT。对42个CT和PET衍生特征的主成分(PC)进行了检查,以确定哪些特征占变异性的大部分。生存分析量化放射组学和SUVmax预测结果的能力。包括均匀性、大小、最大强度、平均和中值灰度、标准差、熵、峰度、偏度、形态和不对称性的PC被包括在区域对照(RC)[PC 4-HR:0.38,p = 0.02]、远距离对照(DC)[PC 4-HR:0.38,p = 0.02]的预测模型中。0.51,p = 0.02和PC 1-HR:1.12,p = 0.01],无复发概率(RFP)[PC 1-HR:1.08,p = 0.04]、疾病特异性生存期(DSS)[PC 2-HR:1.34,p = 0.03和PC 3-HR:0.64,p = 0.02]和总生存期(OS)[PC 4-HR:0.45,p = 0.004和PC 3-HR:0.74,p = 0.02]。在与SUVmax的联合分析中,对于RFP [HR:1.1,p = 0.04]和DC [HR:1.13,p = 0.002],PC 1失去了对SUVmax的预测能力,而PC 4仍然独立于SUVmax预测DC [HR:0.5,p = 0.02]。放射组学仍然是OS、DSS和RC的唯一预测因子。SUVmax和放射组学均不能预测无复发生存率。PET/CT放射组学为预测SBRT治疗的肺癌患者的控制和生存提供了补充信息。
We sought to quantify contribution of radiomics and SUVmax at PET/CT to predict clinical outcome in lung cancer patients treated with stereotactic body radiotherapy (SBRT). 150 patients with 172 lung cancers, who underwent SBRT were retrospectively included. Radiomics were applied on PET/CT. Principal components (PC) for 42 CT and PET-derived features were examined to determine which ones accounted for most of variability. Survival analysis quantified ability of radiomics and SUVmax to predict outcome. PCs including homogeneity, size, maximum intensity, mean and median gray level, standard deviation, entropy, kurtosis, skewness, morphology and asymmetry were included in prediction models for regional control (RC) [PC4-HR:0.38, p = 0.02], distant control (DC) [PC4-HR:0.51, p = 0.02 and PC1-HR:1.12, p = 0.01], recurrence free probability (RFP) [PC1-HR:1.08, p = 0.04], disease specific survival (DSS) [PC2-HR:1.34, p = 0.03 and PC3-HR:0.64, p = 0.02] and overall survival (OS) [PC4-HR:0.45, p = 0.004 and PC3-HR:0.74, p = 0.02]. In combined analysis with SUVmax, PC1 lost predictive ability over SUVmax for RFP [HR:1.1, p = 0.04] and DC [HR:1.13, p = 0.002], while PC4 remained predictive of DC independent of SUVmax [HR:0.5, p = 0.02]. Radiomics remained the only predictors of OS, DSS and RC. Neither SUVmax nor radiomics predicted recurrence free survival. Radiomics on PET/CT provided complementary information for prediction of control and survival in SBRT-treated lung cancer patients.
放射组学特征:预测早期(I 期或 II 期)非小细胞肺癌无病生存的潜在生物标志物
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