Quantitative computed tomographic descriptors associate tumor shape complexity and intratumor heterogeneity with prognosis in lung adenocarcinoma.
Quantitative computed tomographic descriptors associate tumor shape complexity and intratumor heterogeneity with prognosis in lung adenocarcinoma.
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DOI：
10.1371/journal.pone.0118261
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发表时间：
2015
期刊：
影响因子：
3.7
通讯作者：
Gillies RJ
中科院分区：
文献类型：
--
作者：
Grove O;Berglund AE;Schabath MB;Aerts HJ;Dekker A;Wang H;Velazquez ER;Lambin P;Gu Y;Balagurunathan Y;Eikman E;Gatenby RA;Eschrich S;Gillies RJ
通过对常规诊断CT扫描中的肿瘤形状复杂性(特征1：凸度)和肿瘤内密度变化(特征2：熵比)进行评分，开发了两种CT特征来定量描述肺腺癌。对两个独立的队列(队列1：n=61；队列2：n=47)诊断的原发性肺腺癌患者的量化特征进行了分析，包括影像和临床数据。术前胸部CT半自动分割。分割的肿瘤区域进一步细分为核心子区域和边界子区域，以量化整个肿瘤的强度变化。这些特征的重复性在32名患者的独立测试-重测数据集中进行了评估。建议的指标在重复实验中显示出高度的重复性(一致性，Ccc≥0.897；动态范围，Dr≥0.92)。通过Cox比例风险回归、Kaplan-Meier生存曲线和对数等级检验评估与总体生存的相关性。在队列1中，这两个特征与总体生存相关(凸度：P=0.008.0 5；熵比：P=0.0 4)，而在队列2中(凸度：P=0.7；熵比：P=0.8)。在这两个队列中，这些特征被发现是描述性的，并证明了肺腺癌的成像特征与患者生存之间的联系。
Two CT features were developed to quantitatively describe lung adenocarcinomas by scoring tumor shape complexity (feature 1: convexity) and intratumor density variation (feature 2: entropy ratio) in routinely obtained diagnostic CT scans. The developed quantitative features were analyzed in two independent cohorts (cohort 1: n = 61; cohort 2: n = 47) of patients diagnosed with primary lung adenocarcinoma, retrospectively curated to include imaging and clinical data. Preoperative chest CTs were segmented semi-automatically. Segmented tumor regions were further subdivided into core and boundary sub-regions, to quantify intensity variations across the tumor. Reproducibility of the features was evaluated in an independent test-retest dataset of 32 patients. The proposed metrics showed high degree of reproducibility in a repeated experiment (concordance, CCC≥0.897; dynamic range, DR≥0.92). Association with overall survival was evaluated by Cox proportional hazard regression, Kaplan-Meier survival curves, and the log-rank test. Both features were associated with overall survival (convexity: p = 0.008; entropy ratio: p = 0.04) in Cohort 1 but not in Cohort 2 (convexity: p = 0.7; entropy ratio: p = 0.8). In both cohorts, these features were found to be descriptive and demonstrated the link between imaging characteristics and patient survival in lung adenocarcinoma.
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