Development of a nomogram combining clinical staging with 18F-FDG PET/CT image features in non-small-cell lung cancer stage I-III

Development of a nomogram combining clinical staging with 18F-FDG PET/CT image features in non-small-cell lung cancer stage I-III
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DOI:
10.1007/s00259-016-3325-5
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发表时间:
2016-07-01
影响因子:
9.1
通讯作者:
Hatt, Mathieu
Hatt, Mathieu
中科院分区:
医学1区
文献类型:
--
作者:
Desseroit, Marie-Charlotte;Visvikis, Dimitris;Hatt, Mathieu

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我们的目标是通过利用常规F-18-FDG PET/CT采集的CT和PET图像上的肿瘤内异质性来开发列线图,以确定预后最差的患者。分别使用FLAB算法和3D Slicer(TM)在PET和CT图像上描绘原发性肿瘤体积。PET和CT异质性使用纹理分析进行定量。在单独的重测数据集上评估CT特征的再现性。使用Kaplan-Meier方法和对数秩检验评价PET/CT特征的分层把握度。将最佳标准度量(功能体积)与最少冗余和最具预后性的PET/CT异质性特征相结合构建诺模图,PET熵和CT区带百分比与临床分期和功能体积的互补值最高。列线图改善了II期和III期疾病患者的分层,从而可以识别预后最差的患者(临床III期,肿瘤体积大,肿瘤内异质性使用来自常规分期F-18-FDG PET/CT的CT和PET图像上的纹理特征进行量化。CT采集可用于创建比单独分期具有更高分层能力的列线图。
Our goal was to develop a nomogram by exploiting intratumour heterogeneity on CT and PET images from routine F-18-FDG PET/CT acquisitions to identify patients with the poorest prognosis.This retrospective study included 116 patients with NSCLC stage I, II or III and with staging F-18-FDG PET/CT imaging. Primary tumour volumes were delineated using the FLAB algorithm and 3D Slicer (TM) on PET and CT images, respectively. PET and CT heterogeneities were quantified using texture analysis. The reproducibility of the CT features was assessed on a separate test-retest dataset. The stratification power of the PET/CT features was evaluated using the Kaplan-Meier method and the log-rank test. The best standard metric (functional volume) was combined with the least redundant and most prognostic PET/CT heterogeneity features to build the nomogram.PET entropy and CT zone percentage had the highest complementary values with clinical stage and functional volume. The nomogram improved stratification amongst patients with stage II and III disease, allowing identification of patients with the poorest prognosis (clinical stage III, large tumour volume, high PET heterogeneity and low CT heterogeneity).Intratumour heterogeneity quantified using textural features on both CT and PET images from routine staging F-18-FDG PET/CT acquisitions can be used to create a nomogram with higher stratification power than staging alone.