Fendler Wolfgang Peter, Ilhan Harun, Paprottka Philipp M, Jakobs Tobias F, Heinemann Volker, Bartenstein Peter, Khalaf Feras, Ezziddin Samer, Hacker Marcus, Haug Alexander R
Department of Nuclear Medicine, Ludwig-Maximilians-University of Munich, Munich, Germany,
Eur Radiol. 2015 Sep;25(9):2693-700. doi: 10.1007/s00330-015-3658-7. Epub 2015 Feb 28.
Pre-therapeutic prediction of outcome is important for clinicians and patients in determining whether selective internal radiation therapy (SIRT) is indicated for hepatic metastases of colorectal cancer (CRC).
Pre-therapeutic characteristics of 100 patients with colorectal liver metastases (CRLM) treated by radioembolization were analyzed to develop a nomogram for predicting survival. Prognostic factors were selected by univariate Cox regression analysis and subsequent tested by multivariate analysis for predicting patient survival. The nomogram was validated with reference to an external patient cohort (n = 25) from the Bonn University Department of Nuclear Medicine.
Of the 13 parameters tested, four were independently associated with reduced patient survival in multivariate analysis. These parameters included no liver surgery before SIRT (HR:1.81, p = 0.014), CEA serum level ≥ 150 ng/ml (HR:2.08, p = 0.001), transaminase toxicity level ≥2.5× upper limit of normal (HR:2.82, p = 0.001), and summed computed tomography (CT) size of the largest two liver lesions ≥10 cm (HR:2.31, p < 0.001). The area under the receiver-operating characteristic curve for our prediction model was 0.83 for the external patient cohort, indicating superior performance of our multivariate model compared to a model ignoring covariates.
The nomogram developed in our study entailing four pre-therapeutic parameters gives good prediction of patient survival post SIRT.
• Four individual parameters predicted reduced survival following SIRT in CRC. • These parameters were combined into a nomogram of pre-therapeutic risk stratification. • The model provided good prediction of survival in two independent patient cohorts.
治疗前对结果进行预测,对于临床医生和患者决定是否对结直肠癌(CRC)肝转移采用选择性内放射治疗(SIRT)很重要。
分析100例接受放射性栓塞治疗的结直肠癌肝转移(CRLM)患者的治疗前特征,以建立预测生存的列线图。通过单变量Cox回归分析选择预后因素,随后通过多变量分析检验以预测患者生存。该列线图参照波恩大学核医学科的一个外部患者队列(n = 25)进行验证。
在测试的13个参数中,有4个在多变量分析中与患者生存降低独立相关。这些参数包括SIRT前未进行肝脏手术(HR:1.81,p = 0.014)、癌胚抗原(CEA)血清水平≥150 ng/ml(HR:2.08,p = 0.001)、转氨酶毒性水平≥正常上限的2.5倍(HR:2.82,p = 0.001)以及最大的两个肝脏病变的计算机断层扫描(CT)总和尺寸≥10 cm(HR:2.31,p < 0.001)。我们预测模型的受试者工作特征曲线下面积对于外部患者队列是0.83,表明与忽略协变量的模型相比,我们的多变量模型具有更好的性能。
我们研究中开发的包含4个治疗前参数的列线图能很好地预测SIRT后患者的生存情况。
• 4个个体参数预测CRC患者SIRT后生存降低。• 这些参数被纳入治疗前风险分层列线图。• 该模型在两个独立患者队列中对生存情况有良好预测。