Delta-radiomics signature predicts treatment outcomes after preoperative chemoradiotherapy and surgery in rectal cancer
Delta-radiomics signature predicts treatment outcomes after preoperative chemoradiotherapy and surgery in rectal cancer
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DOI：
10.1186/s13014-019-1246-8
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发表时间：
2019-03-12
影响因子：
3.6
通讯作者：
Kim, Jae-Sung
中科院分区：
文献类型：
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作者：
Jeon, Seung Hyuck;Song, Changhoon;Kim, Jae-Sung
开发和比较来自二维（2D）和三维（3D）特征的δ放射组学特征，以预测局部晚期直肠癌术前放化疗（CCRT）和手术后的治疗结果。方法共纳入2008 - 2015年间101例局部晚期直肠腺癌患者（培训组，n=67；验证组，n=34）。我们从t2加权磁共振成像（MRI）扫描中提取了55个特征。δ放射组学特征定义为CCRT前后放射组学特征的差异。通过2D和3D特征来预测局部复发（LR）、远处转移（DM）和无病生存（DFS）。最小绝对收缩和选择算子回归用于选择特征和构建签名。将放射组学特征和临床因素整合到Cox回归分析中，以确定特征是否为独立的预后因素。结果利用二维和三维特征开发并验证了LR、DM和DFS的放射组学特征。在训练组和验证组中，低危组和高危组的预后有显著差异。在多变量分析中，即使考虑到临床参数，这些特征也是独立的预后因素。2D和3D特征的c指数无显著差异。结论：这是第一个开发直肠癌放射组学特征的研究。这些特征成功地预测了结果，是独立的预后因素。有必要进行外部验证以确保其性能。
BackgroundTo develop and compare delta-radiomics signatures from 2- (2D) and 3-dimensional (3D) features that predict treatment outcomes following preoperative chemoradiotherapy (CCRT) and surgery for locally advanced rectal cancer.MethodsIn total, 101 patients (training cohort, n=67; validation cohort, n=34) with locally advanced rectal adenocarcinoma between 2008 and 2015 were included. We extracted 55 features from T2-weighted magnetic resonance imaging (MRI) scans. Delta-radiomics feature was defined as the difference in radiomics feature before and after CCRT. Signatures were developed to predict local recurrence (LR), distant metastasis (DM), and disease-free survival (DFS) from 2D and 3D features. The least absolute shrinkage and selection operator regression was used to select features and build signatures. The delta-radiomics signatures and clinical factors were integrated into Cox regression analysis to determine if the signatures were independent prognostic factors.ResultsThe radiomics signatures for LR, DM, and DFS were developed and validated using both 2D and 3D features. Outcomes were significantly different in the low- and high-risk patients dichotomized by optimal cutoff in both the training and validation cohorts. In multivariate analysis, the signatures were independent prognostic factors even when considering the clinical parameters. There were no significant differences in C-index from 2D vs. 3D signatures.ConclusionsThis is the first study to develop delta-radiomics signatures for rectal cancer. The signatures successfully predicted the outcomes and were independent prognostic factors. External validation is warranted to ensure their performance.